Literature DB >> 29542037

Autophagy stimulation as a promising approach in treatment of neurodegenerative diseases.

Karolina Pierzynowska1, Lidia Gaffke1, Zuzanna Cyske1, Michał Puchalski1, Estera Rintz1, Michał Bartkowski1, Marta Osiadły1, Michał Pierzynowski1, Jagoda Mantej1, Ewa Piotrowska1, Grzegorz Węgrzyn2.   

Abstract

Autophagy is a process of degradation of macromolecules in the cytoplasm, particularly proteins of a long half-life, as well as whole organelles, in eukaryotic cells. Lysosomes play crucial roles during this degradation. Autophagy is a phylogenetically old, and evolutionarily conserved phenomenon which occurs in all eukaryotic cells. It can be found in yeast Saccharomyces cerevisiae, insect Drosophila melanogaster, and mammals, including humans. Its high importance for cell physiology has been recognized, and in fact, dysfunctions causing impaired autophagy are associated with many severe disorders, including cancer and metabolic brain diseases. The types and molecular mechanisms of autophagy have been reviewed recently by others, and in this paper they will be summarized only briefly. Regulatory networks controlling the autophagy process are usually described as negative regulations. In contrast, here, we focus on different ways by which autophagy can be stimulated. In fact, activation of this process by different factors or processes can be considered as a therapeutic strategy in metabolic neurodegenerative diseases. These aspects are reviewed and discussed in this article.

Entities:  

Keywords:  Autophagy stimulation; Lysosomes; Neurodegenerative diseases; Therapeutic strategies

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Year:  2018        PMID: 29542037      PMCID: PMC6060747          DOI: 10.1007/s11011-018-0214-6

Source DB:  PubMed          Journal:  Metab Brain Dis        ISSN: 0885-7490            Impact factor:   3.584


The autophagy process

In healthy non-stressed cells, synthesis and degradation of macromolecules (proteins, nucleic acids, lipids, polysaccharides) occur generally at roughly constant levels. Proteins, as major functional macromolecules, are crucial to maintain cellular homeostasis. Therefore, protein synthesis and degradation must be balanced in cells. Any disturbance in this balance may lead to severe dysfunctions of the cell, a group of cells, tissues, organs and the whole organism, as a result of a complex network between various biological processes. One of two major systems for protein degradation in eukaryotic cells, beside the proteasomal pathway, is the process of lysosome-mediated degradation, called autophagy. This process is phylogenetically old, evolutionarily conserved phenomenon which occurs in all eukaryotic cells. It can be found in yeast Saccharomyces cerevisiae, insect Drosophila melanogaster, and mammals, including humans. (Ricci and Zong 2006). It is employed mainly to degrade macromolecules in the cytoplasm, particularly proteins of a long half-life, as well as whole organelles, and lysosomes play crucial roles during this degradation (Meijer and Codogno 2004). Randomly selected part of the cytoplasm, together with its compounds, can undergo the digestion, and this kind of the process is called non-selective autophagy. It is employed to maintain the equilibrium in the amount and size of particular components of the cytoplasm. The selective autophagy occurs when special organelles or structures are subjected to degradation, for example mitochondria (the process is called mitophagy), endoplasmic reticulum (reticulophagy), or ribosomes (ribophagy) (Liang and Jung 2010). The autophagy occurs under physiological conditions (called the basic autophagy), and it is involved in the maintenance of cellular homeostasis. However, it can be stimulated in response to various stress conditions (called the induced autophagy), including oxidative stress (appearance of reactive oxygen species), unfolded proteins, viral infection or starvation. The latter process has a role in the adaptation to new, unfavorable conditions, when the cell is deprived of compounds for the synthesis of new molecules, crucial for survival under stress conditions (Ricci and Zong 2006). On the basis of the type of delivery of the substrate to lysosomes, three major forms of autophagy have been distinguished: (i) microautophagy, (ii) macroautophagy, and (iii) chaperone-dependent autophagy (Cuervo 2004). Microautophagy is the process devoted to degradation of small organelles and compounds suspended in the cytoplasm (Sakai et al. 1998). In this process, a fragment of cytoplasm is sequestered directly by a lysosome due to invagination of lysosomal membrane (Mijaljica et al. 2011). The chaperone-dependent autophagy involves binding of individual proteins or peptides by chaperones from the Hsp70 family and formation of the chaperone-substrate complexes. Such complexes are transported into lysosomes after being recognized by the receptors Lamp2a (lysosome-associated membrane protein type 2a) and are degraded inside these organelles (Kaushik et al. 2011). Unlike the two mechanisms described above, in which the only organelle necessary to conduct the autophagy process is lysosome, in the case of macroautophagy, a fusion between lysosome and autophagosome is required to degrade selected cellular structures. Macroautophagy is the most common type of autophagy. In the initial step of this process, a fragment of cytoplasm, together with proteins and/or organelles, is engulfed by the phagophore, a double membrane structure. Capturing of the cytoplasm fragment results in formation of autophagosome, to which early and late endosomes can fuse, providing factors required to further fusion with lysosome, as well as factors lowering pH to form acid environment, necessary for activities of lysosomal hydrolases. So prepared autophagosome fuses to lysosome, which leads to formation of the autophagolysosome. Internal membrane of the autophagosome is then degraded, together with organelles and macromolecules included in it. Degradation products (amino acids, nucleotides, simple carbohydrates, fatty acids) are then released to the cytoplasm and can be used in various cellular processes (Dong and Czaja 2011; Ricci and Zong 2006; Cuervo 2004).

The role of autophagy in the cell

In eukaryotic cells, the autophagy process has multiple functions. In the normally functioning cell, this process occurs at a constant level, and it is called basic or constitutive autophagy. It is responsible for maintenance of cellular homeostasis by removal of damaged or unnecessary organelles or regulation of the size of endoplasmic reticulum (Qu et al. 2007). Moreover, it facilitates the balance between synthesis and degradation of macromolecules. Basic autophagy is involved also in various physiological processes, like neurolamine synthesis in dopaminergic neurons, surfactant biogenesis in pneumocytes, or erythrocyte maturation (Kim 2005). It also has a role in yeast sporulation, regression of the mammary gland in cattle (Zarzynska and Motyl 2008), and nymph development in Drosophila melanogaster (Yang et al. 2005). Autophagy is also necessary for implantation of the mouse embryo into uterus, and its first cellular divisions (Tsukamoto et al. 2008). Mutations in the Atg5 gene, coding for a protein responsible for autophagy initiation, result in death of mice shortly after they were born (Kuma et al. 2004). Inactivation of the gene coding for Beclin 1 caused a decrease in life span of Caenorhabditis elegans (Meléndez et al. 2003). In contrast, overexpression of the Atg8 gene, which product is involved in building of the autophagosome membrane, resulted in longer life span of D. melanogaster by about 50% (Vellai 2009). It is assumed that this effect depends on one of selective autophagy processes, the mitophagy, in which damaged mitochondria are removed from the cell. This, in turn, restricts the appearance of reactive oxygen species in the cell, and/or facilitates repair of DNA and proteins (Shintani and Klionsky 2004). The autophagy process is enhanced under conditions of the cellular stress. This process is called the induced autophagy. Among its inductors, there are starvation, a lack of growth factors, viral infection and DNA damage. Under such conditions, the autophagy facilitates adaptation of the cell to new environmental conditions, as it ensures the availability of compounds necessary for synthesis of macromolecules, required during the stress, through degradation of structures that are less important under such conditions. The autophagy is also employed to protect the infected cell from multiplication of viruses or bacteria (Klionsky 2005; Yang et al. 2005). However, long-term and intensive autophagy may lead to cell death, which is called programmed cell death (apoptosis) type II or autophagy-associated apoptosis. This kind of cell death proceeds through condensation of chromatin and degradation of cellular structures, including endoplasmic reticulum, Golgi apparatus, and ribosomes. Contrary to programmed cell death type I (classical apoptosis), the type II of this process is caspase-independent, and requires increased activities of lysosomal enzymes (Qu et al. 2007). It is worth to note that both over-activity and halting of autophagy can be deleterious for the cell. Inhibition of this process for a longer time may lead to tumorigenesis due to disturbance in cell growth and genome instability (Liu et al. 2010). On the other hand, induction of autophagy in tumor cells can facilitate their survival under hypoxia, deficiency of nutrients, and during chemotherapy.

Molecular mechanism of autophagy

Molecular mechanism of autophagy has been elucidated for the first time during studies on yeast S. cerevisiae. In fact, results of those studies have been recognized as a breakthrough in understanding of cellular processes, and the principal investigator, Yoshinori Ohsumi, has been awarded the Nobel Prize in 2016 (https://www.nobelprize.org/nobel_prizes/medicine/laureates/2016/press.html). Genetic analyses of yeast cells led to identification of 32 genes, coding for proteins taking part in the autophagy process. Such genes are evolutionarily conserved, from yeast to mammals. Therefore, it was proposed to use a common nomenclature of the autophagy genes, consisting of the atg abbreviation (after AuTophaGy-related genes), followed by a consecutive number. Generally, the autophagy process depends on a cascade of interactions between Atg proteins (Kost et al. 2011). The macroautophagy process (called „autophagy” further in the text) can be divided into 4 stages: (i) initiation, consisting of the synthesis of the isolating membrane, called phagophore, (ii) nucleation and elongation of the isolating membrane, which subsequently closes up, forming the autophagosome structure, (iii) fusion of the autophagosome with lysosomal membrane, which leads to formation of the autophagolysosome, (iv) degradation of the autophagolysosome content, together with its internal membrane, by lysosomal enzymes (Wong et al. 2011). Below, these stages are described in more detail.

Initiation

Up to now, it is not clear what is the origin of the isolating membrane (phagophore), which is a prerequisite of the autophagosome. There are two hypotheses which may explain this process. The first hypothesis suggests that the membrane may be a part of endoplasmic reticulum or Golgi apparatus (Yorimitsu and Klionsky 2005). According to the second hypothesis, the phagophore is synthesized in the cytoplasm de novo (Yang et al. 2005). Most researchers working on the autophagy support the former hypothesis because the transmembrane protein Atg9 is localized in membranes of the late endosomes and in the trans vesicles of the Golgi apparatus. During starvation, Atg9 circulates between Golgi apparatus or late endosomes and newly formatted isolation membrane, providing compounds necessary for autophagosome creation (Yang et al. 2010). The Atg9 protein is present in the phagophore, but it could not be detected on the surface of already formed autophagosomes (Kost et al. 2011). This is caused by removal of this protein from the membrane by the Atg1 protein, which is a serine-threonine kinase, a component of the Atg1-Atg13-Atg17 complex. Formation of this complex depends on the level of Atg13 phosphorylation in which the complex 1 of TOR-TORC1 kinase (target of rapamycin complex 1) is involved. Inactivation of the TOR kinase complex leads to dephosphorylation of Atg13, causing an increase of its affinity to Atg1 and Atg17 and induction of the isolating membrane formation (Yang et al. 2010). The equivalent of the yeast Atg1-Atg13Atg17 complex is mammalian complex composed of the serine-threonine kinase ULK1/2 (Unc51-like kinase 1), a homologue of Atg1, the mAtg13 protein (mammalian Atg13), and FIP200, a mammalian homologue of Atg17 which stabilizes expression of and phosphorylates ULK1/2 (Hara et al. 2008). To maintain stability and phosphorylation of the ULK1/2 kinase and mAtg, the presence of the Atg101 protein in the phagophore is necessary (Hosokawa et al. 2009a; Mercer et al. 2009). In mammalian cells, the autophagy induction depends on the activity of the complex 1 of mTOR kinase (mammalian target of rapamycin). Under physiological conditions, the mTORC1 complex, bound to the ULK1/2-mAtg13-FIP200 complex, is active and phosphorylates the S6K1 kinase. The mAtg13 protein is kept in the hypophosphorylated form, which results in its low affinity to the ULK1/2 kinase. Under starvation conditions or in the deficiency of growth factors, the mTORC1 complex is inactivated and dissociates from the above mentioned complex. This leads to the dephosphorylation of mAtg13 and subsequent activation of ULK1/2 which phosphorylates FIP200 and mAtg13. As a result, the autophagosome membrane formation is initiated (Jung et al. 2010; Mehrpour et al. 2010; Nakatogawa et al. 2009; Yang et al. 2010).

Nucleation and elongation

At the early stage of the isolating membrane formation, i.e. during nucleation, the presence of the specific complex is required; this complex consists of class III phosphatidil-inositol kinase PI3K (a homologue of the yeast Vps34; vacuolar protein sorting 34), Beclin 1 (Atg6 in yeast), and serine kinase p150 (Vsp15 in yeast) (Kost et al. 2011). The involvement of PI3K in autophagy consists in its crucial role in phagophore elongation, as shown in mammalian cells (Yang et al. 2005; Yorimitsu and Klionsky 2005). The PI3K-Beclin 1-p150 complex, whose core is located in the phagophore, has an enzymatic activity causing production of phosphatidilinositole triphosphate (PIP3) that is indispensable at the stage of phagophore elongation and recruitment of next proteins from the Atg family (Kost et al. 2011). The complex activity, and production of PIP3, is strictly regulated by a battery of other proteins. The UVRAG (UV irradiation resistance-associated tumor suppressor gene) protein, a homologue of yeast Vsp38, is a positive regulator of the autophagosome maturation as it stimulates kinase activity of PI3K (Wong et al. 2011). On the other hand, proteins from the Bcl-2 family (B-cell leukemia/lymphoma-2) and the protein Ambra1 (activating molecule in Beclin1-regulated autophagy) are negative regulators. They bind Beclin 1 and block interactions with PI3K and formation of the complex (Fimia et al. 2007; Zhong et al. 2009; Wong et al. 2011). In the next step of the isolating membrane elongation, there are two conjugation processes which require the involvement of two protein complexes. The first one is Atg5-Atg12-Atg16L, which requires Atg7 and Atg10 for its formation. Atg12 has to be activated by ATP-dependent formation of thioester bond with Atg7, to form an intermediate complex. Then, it is transferred to Atg10, also forming a thioester bond, and finally it is conjugated with Atg5 through an amide bond. This bond appears to be un-reversible, as no protease able to cut the Atg12-Atg5 complex could be found (Yang et al. 2005; Mariňo and López-Otín 2004). At the later step, the Atg16L protein is attached to the Atg12-Atg5 protein, forming a covalent bond with Atg5. The Atg12-Atg5-Atg16L complex oligomerizes, forming structures that are used during elongation of the isolating membrane, which results in appearance of the pre-autophagosomal membrane (Yang and Klionsky 2010). It is possible that attachment of the complex may cause the membrane curvature. Initially, the proteins are attached uniformly on the membrane when it is being formed, however, as the phagophore is being elongated, they move towards its outer surface and then they dissociate when the autophagosome is complete. The second complex of proteins taking part in the synthesis of the autophagosomal membrane is Atg8-PE. Apart from Atg8 and phosphatidylethanolamine (PE), Atg3, Atg4 and Atg7 proteins participate in its formation. Activation of the Atg8 protein is initiated due to removal of the C-terminal amino acid, alanine, by the cysteine protease Atg4. This allows to form a thioester bond between Atg8 and Atg7 proteins. The Atg8 protein is transferred on the Atg3 protein, forming another thioester bond. Finally, the Atg8 protein forms a complex with PE through amide bond, thus, PE can be incorporated into the outer membrane of the autophagosome. This bond is reversible, contrary to the bond in the Atg12-Atg5 complex. After the fusion of autophagosome with lysosome, the amide bond is hydrolyzed by the Atg4 protease, and Atg8 dissociates into the cytoplasm (Mariňo and López-Otín 2004). In mammalian cells, MAP1-LC3 is an equivalent of the yeast Atg8 protein. It was initially considered as a microtubule-associated protein (microtubule associated protein 1 light chain 3). This protein occurs in the cell in 3 forms: (i) pro-LC3, (ii) LC3-I, and (iii) LC3-II. During post-translational modification, pro-LC3 is transformed into LC3-I due to removal of 22 C-terminal amino acids by a mammalian homologue of the yeast Apg4 protease (Kirisako et al. 2005). The LC3-I protein remains in the cytoplasm, with exposed C-terminal glycine, until autophagy is initiated. Then, Atg7 and Atg3 proteins are attached through the C-terminal glycine, and subsequent attachment of the Atg12-Atg5-Atg16L complex results in incorporation of PE and creation of the LC3-II form (Reggiori and Klionsky 2005; Høyer-Hansen and Jäättelä 2007). LC3-II binds to both outer and inner membrane of the forming autophagosome (Yang et al. 2005; Kondo et al. 2005). This protein is released from PE to cytoplasm in the LC3-I form only after the fusion of the mature autophagosome with lysosome. A fraction of LC3-II bound with the inner membrane of autophagolysosome is degraded by lysosomal enzymes (Tanida et al. 2005). These processes cause formation of the autophagosome from the isolating membrane (phagophore), the structure containing a fragment of the cytoplasm together with some proteins and organelles. LC3-II is the only protein which binds specifically to the isolating membrane, autophagosome and autophagolysosome (Yang et al. 2005; Hayashi-Nishino et al. 2009; Carew et al. 2009). Conversion of LC3-I to LC3-II correlates with formation of autophagosome in the cell. In fact, the level of LC3-II is strictly correlated to number of autophagosomes in the cell, thus, it is the only known marker of the autophagy process (Tanida 2011; Sirdharan et al. 2011; Kost et al. 2011).

Fusion of autophagosome with lysosome

After formation of the autophagosome, the outer membrane of autophagosome and lysosomal membrane fuse and form autophagolysosome (sometimes called autolysosome). In mammalian cells, this process is more complicated than in S. cerevisiae. Autophagosome fuses first with early and late endosomes which provide not only compounds to be degraded, but also factors required for the fusion between autophagosome and lysosome. It appears that endosomes lower the pH inside autophagosomes, creating favorable conditions for actions of lysosomal hydrolases (Glick et al. 2010). There are several proteins regulating the fusion, including LAMP-2 (Tanaka et al. 2000), monomeric GTP-ases (Rab7, Rab22, Rab24), Rubicon and proteins from the SNARE family (SNAP (Soluble NSF Attachment Protein) REceptor) (Yang et al. 2010). Mutations in the gene coding for the Rab7 protein impair the fusion of autophagosomes with late endosomes and lysosomes (Gutierrez et al. 2004; Yang et al. 2005). Proteins from UVRAG family enhance the Rab7 activity, which promotes such fusions, however, the same family negatively regulates autophagosome maturation when interacting with the Rubicon protein (Wong et al. 2011). The fusion of autophagosome with lysosome requires also cytoskeleton elements. It was demonstrated that compounds which destabilize microtubules also inhibit autophagosome maturation. In cells treated with cytochalazine D, which blocks actin polymerization, a decrease in number of autophagosomes and autophagolysosmes was observed. Moreover, after treatment with nocodazole, which interferes with microtubule dynamics, the fusion of autophagosome with lysosome was blocked (Köchl et al. 2006). On the other hand, taxol, which stabilizes microtubules, caused an increase in efficiency of autophagolysosome formation (Mariňo and López-Otín 2004; Yang et al. 2005).

Lysosomal degradation

Inside the autophagolysosme, there is an acid environment, which assures optimal pH for action of acid hydrolases which digest compounds enclosed inside this structure, together with its internal membrane. Thus, autophagolysosomes become single-membrane structures containing degraded compounds of the cytoplasm (Roy and Debnath 2010).

Autophagy activation pathways

In the regulation of the autophagy process, there are several signaling pathways. They can be generally divided into mTOR-dependent and mTOR-independent ones. The mTOR protein is an evolutionarily conserved 289 kDa serine-threonine kinase. It plays roles not only in autophagy regulation but also controls transcription of genes and translation of proteins involved in microtubule dynamics. Moreover, it influences growth and proliferation of cells, as well as glucose metabolism (Pattingre et al. 2008). Through integration of intracellular signaling and growth factors, this kinase maintains the balance between protein biosynthesis and cell growth. It is also a sensor for energetic molecules in the cell, the ATP level, and the redox state (Roy and Debnath 2010). Among the autophagy stimulation pathways, the mTOR-dependent ones include: PI3K/Akt/TSC/mTOR, AMPK/TSC/mTOR, and Rag/mTOR pathways. Although the mTOR kinase is considered the main regulator of autophagy, there are also mTOR-independent pathways of autophagy activation. They include: Ca2+/calpain, inositol-dependent, cAMP/EPAC/PLC, and JNK1/Beclin-1/PI3K pathways. Both mTOR-dependent and mTOR-independent pathways are described below and summarized schematically in Fig. 1.
Fig. 1

Pathways of autophagy stimulation. Detailed description is provided in the text

Pathways of autophagy stimulation. Detailed description is provided in the text

The PI3K/Akt/TSC/mTOR pathway

The PI3K/Akt/TSC/mTOR pathway is initiated under conditions of a lack or low level of insulin or growth factors, which makes the insulin receptor inactive (Sarbassov et al. 2005; Massacesi et al. 2013). This results in a lack of phosphorylation of its substrate, the IRS1 protein, which in turn, cannot interact with the PI3K complex and activate it. Inactive PI3K complex is not able to promote the conversion of phosphatidilinositol-4,5-biphosphate (PtdIns(4,5)P2) to phosphatidylinositol-3,4,5-triphosphate (PtdIns(3,4,5)P3). The role of PtdIns(3,4,5)P3 is recruitment of the PDK1 kinase to the cellular membrane, however, deficiency of PtdIns(3,4,5)P3 results in a lack of activity of PDK1 that is not able to phosphorylate the Akt kinase (Sarkar 2013; Ravikumar et al. 2010). Therefore, Akt remains inactive, and no phosphorylation of the TSC complex, composed of the TSC1/2 heterodimer, is possible (Huang and Manning 2008). Dephosphorylated TSC complex has a GAP (GTPase-activating protein) activity which allows it to stimulate Rheb GTPase, and Rheb remains in the GDP-bound form. This Rheb form is not able to interact with the Raptor protein which is a component of the complex 1 of mTOR kinase (mTORC1). Thus, mTOR remains inactive and cannot interact with the ULK1-Atg13-FIP200 complex (Sarkar 2013), which results in a lack of phosphorylation of ULK1 and Atg13 proteins. This leads to the feedback regulation, as dephosphorylated ULK1 is activated which leads to phosphorylation of Atg13, FIP200 and ULK1 itself. In fact, this triggers formation of the autophagosome (Yang et al. 2005). In addition to the above mechanism, due to inactivation of the Akt kinase, the FoxO3 transcription factor is not phosphorylated. As such, it migrates to the nucleus and stimulates expression of genes coding for proteins involved in the autophagy process, i.e. LC3 (autophagosome formation), Vsp34 (activation of the JNK1/Beclin-1/PI3K pathway), and ULK1 (induction of the PI3K/Akt/TSC/mTOR pathway) (Stitt et al. 2004). Moreover, inhibition of the mTOR kinase leads to dephosphorylation of TFEB (transcription factor EB). This transcription factor is also translocated to the nucleus and stimulates expression of genes involved in the formation of autophagosomes and lysosomal biogenesis (Vodicka et al. 2016; Roczniak-Ferguson et al. 2012).

The AMPK/TSC/mTOR pathway

This pathway influences the autophagy activation by a sudden change in the energetic state of the cell, a lack of growth factors or metabolic stress (Meijer and Codogno 2007). AMPK is a cellular energy sensor, thus providing information to the cell about changes in the ATP/ADP ratio (Hardie 2007). Changes in this ratio lead to activation of the LKB1 kinase, resulting in phosphorylation, and thus activation of the AMPK kinase (Shaw et al. 2004). This allows phosphorylation of the TSC2 protein in the TSC complex. Interestingly, this AMPK-mediated phosphorylation unmasks another phosphorylation side in the target protein, which is then used to introduce another phosphate group by the GSK-3β kinase. One should note that under starvation conditions, the AMPK kinase phosphorylates TSC2 directly, without LKB1 involvement. Irrespective of the mechanism leading to TSC2 phosphorylation, this causes appearance of the GDP-bound Rheb form and inhibition of its interaction with mTOR, leading to autophagy induction (Inoki et al. 2003, 2006).

The Rag/mTOR pathway

Activation of autophagy by the Rag/mTOR pathway depends on the availability of amino acids (Sarkar 2013). There are two receptors in the cell membrane responsible for detection of these compounds. The first one is the SLC1A5 (solute carrier 1A5) receptor, able to bind and transport L-glutamine from environment to the cell. Increased concentration of L-glutamine stimulates the heterodimeric bidirectional carrier, SLC7A5-SLC3A2, which removes it from the cell, but at the same time transports other amino acids into the cell (Nicklin et al. 2009). Under conditions of amino acid deficiency, or in the case of the dysfunction of the above mentioned receptors, these compounds cannot be caught by the complex of GTPases: Rag (Ras-related GTP-binding protein), regulator and v-ATPase, localized in the lysosomal membrane. Rag GTPases occur as heterodimers, composed of subunit A or B, connected to subunit C or D (Zoncu et al. 2011). In the presence of amino acids, the heterodimer is activated to form a conformation in which Rag A/B is bound to GTP, and Rag C/D is bound to GDP. In contrast, in the lack of amino acids, Rag A/B is bound to GDP and Rag C/D is bound to GTP (Kim and Kim 2016), and this conformation is inactive, thus, unable to interact with the Raptor protein that is a part of the mTORC1 complex. Therefore, the complex cannot bind to the lysosomal surface, and it is not activated by GDP-Rheb (Sancak et al. 2008). The inactive mTOR kinase cannot interact with the ULK1-Atg13-FIP200 complex, enabling initiation of the autophagosome formation (Hosokawa et al. 2009b).

The Ca2+/calpain pathway

The Ca2+/calpain pathway is activated under conditions of any severe changes of physiological conditions. Another factor influencing this pathway is concentration of Ca2+ ions inside the cell, which activate calpains, proteins belonging to the family of cysteine proteinases (Goll et al. 2003). They can be activated not only by Ca2+ ions transported into the cell through the calcium channel, but also by the ions liberated from endoplasmic reticulum (Gordon et al. 1993; Williams et al. 2008; Ganley et al. 2011). Autophagy induction by the Ca2+/calpain pathway can be stimulated by antagonists of Ca2+ canals type L (Williams et al. 2008; Zhang et al. 2007). They inhibit the inflow of the ions to the cell, thus, calpains are not activated. Generally, high Ca2+ levels and calpain activation negatively regulate the autophagosome formation and its fusion with lysosome (Sato-Kusubata et al. 2000). However, when the Ca2+ canals are closed, the level of Ca2+ ions is low, calpains are not activated, and the autophagy process can be initiated (Williams et al. 2008). It is worth mentioning that the Ca2+/calpain pathway is connected to the pathway dependent on cAMP (described below). When nutrients are available and Ca2+ canals are open, active calpains stimulate dissociation of the α subunit of the G protein and its activation which, in turn, activates the AC (adenylate cyclase) protein to produce cAMP from ATP. In the deficiency of Ca2+ ions, this pathway is not activated, cAMP is not synthesized, which stimulates autophagy through the cAMP/EPAC/PLC pathway (Sato-Kusubata et al. 2000; Williams et al. 2008).

The inositol-dependent pathway

One of autophagy activation pathways is a cascade of reactions dependent on the intracellular levels of inositol. This cascade is stimulated by blocking of the G protein-coupled receptor, which mediates activation of the phospholipase C (PLC). Under such conditions, inositol triphosphate (IP3) and diacylglycerol (DGA) are not formed from 4,5-phosphatidilinositol-bis-phosphate (PIP2) (Berridge 1993). Free inositol arises as a result of hydrolysis of two phosphate moieties from IP3 by inositol polyphosphatase (IPPase) and inositol-5’-phosphatase, and subsequent hydrolysis of inositol phosphate by inositol monophosphatase (IMPase) (Majerus 1992). When PIP2 cannot be converted to IP3, no free inositol is present which causes a lack of inhibition of autophagosomal membrane formation; this triggers the autophagy process. There is a link between the inositol-dependent pathway and the Ca2+/calpaine pathway. Under normal physiological conditions, IP3 interacts with its receptor (IP3R) located in the endoplasmic reticulum which stimulates an increase in the level of Ca2+ ions in the cell and activation of calpains. In the absence of IP3, due to inhibition of the inositol-dependent pathway, the Ca2+/calpaine pathway is also impaired due to a lack of interaction with IP3R and low level of Ca2+ ions (Berridge 1993; Berridge et al. 2003).

The cAMP/EPAC/PLC pathway

The autophagy is regulated by 3’5’adenosinemonophosphate (cAMP), independently from the mTORC1 kinase. cAMP is synthesized by adenylate cyclase from adenosine-5’-triphosphate (ATP) (Williams et al. 2008). Major activators of this pathways belong to agonists of imidazoline receptor (which acts to decrease the cAMP level). By activation of this receptor, these compounds cause a decrease in cAMP concentration in the cell (Williams et al. 2008). This results in a lack of EPAC (exchange protein directly activated by cAMP) activation, and resultant maintenance of the Rap2B protein in its inactive state (Gloerich and Bos 2010; Breckler et al. 2011). Under such conditions, phospholipase C (PLC) is not activated, and PIP2 cannot be converted to IP3 (see the inositol-dependent pathway, described above) (Sarkar et al. 2005). Both cAMP and IP3 are inhibitors of the phagophore formation, thus, impairment of the above described cascade results in autophagy activation.

The JNK1/Beclin-1/PI3K pathway

The phosphoinositol kinase 3 (PI3K) complex consists of several class of enzymes. In the JNK1/Beclin-1/PI3K pathway, the crucial role is played by class III (PI3KC3) which include Beclin-1, pVps34, and pVps15 (Pattingre et al. 2008). Starvation conditions result in phosphorylation of the Bcl-2 protein by the stress-activated c-Jun-N-terminal protein kinase 1 (JNK1). This leads to inhibition of interaction between Bcl-2 and Beclin-1, and dissociation of the phosphorylated Bcl-2 form from the Bcl-2-Beclin-1 complex. Liberated Beclin-1 can interact with hVps34, which is a prerequisite to form the Beclin-1-hVps34-hVps15 complex. The latter complex directly stimulates formation of the autophagosome (Pattingre et al. 2005; Wei et al. 2008).

Stimulation of autophagy as a therapeutic approach for treatment of metabolic neurodegenerative diseases

A large group of disorders in which autophagy induction might be profitable for treatment are metabolic brain diseases. Most of them is caused by the aggregation of improperly folded proteins which accumulate in neurons and cause their damage, leading to various severe psycho-motoric disorders. Pharmacologic induction of autophagy is one of the most promising approaches. An alternative pathway, the proteasomal degradation, is significantly less efficient in cells of patients due to ongoing proteasome damage by newly formatting protein aggregates (Zheng et al. 2016). Studies on the therapeutic use of autophagy activators in neurodegenerative diseases are carried out in many laboratories around the world. However, researchers are still looking for compounds which not only stimulate degradation of accumulated, toxic macromolecules, but also are safe and suitable for the use in long-term use without severe adverse effects. The strategy of pharmacological stimulation of toxic macromolecules’ degradation is being tested using both cellular and animal models of neurodegenerative diseases, while due to relatively recent onset of such studies, there are only a few completed clinical trials, and most of them are either ongoing or at the stage of patients’ recruitment. In addition, new autophagy stimulators are being discovered which give promising results in experiments performed in vitro or with the use of animal models. The most frequently used models of neurodegenerative disorders in studies on efficacy of autophagy stimulation are Huntington disease (a monogenic disorder whose etiology is well established), amyotrophic lateral sclerosis or ALS (a disease with predominance of one gene dysfunction, but with contribution of other factors), Alzheimer disease and Parkinson disease (disorders caused by multiple factors, but including inherited forms in which mutations in particular genes occur), and prion diseases (disorders which can be caused by a mutation, but prone to develop due to protein-protein interactions). The common feature of all these diseases is accumulation of misfolded proteins in neurons and a lack of effective treatment. Therefore, autophagy induction appears to be a promising potential therapeutic strategy. The above mentioned diseases are summarized briefly in Table 1.
Table 1

Neurodegenerative diseases which are model disorders in studies on autophagy inductors as potential therapeutics

DiseaseClassificationStored materialCause of diseaseInheritance
Alzheimer disease (AD)Proteinopathy (amyloidose, tauopathy)β-amyloid; hyperphosphorylated tau proteinMutation (familial form); unknown – perhaps multifactorial (sporadic form)Autosomal dominant (familial form); multifactorial (sporadic form)
Parkinson disease (PD)Proteinopathy (Syncleinopathies)α-synuclein; parkinMutation (familial form); unknown – perhaps multifactorial (sporadic form)Unclear; multifactorial (sporadic form)
Huntington disease (HD)ProteinopathyHuntingtinMutationAutosomal dominant
Amyotrophic lateral sclerosis (ALS)ProteinopathySuperoxide dysmutase (SOD)Mutation (familial form); unknown – perhaps multifactorial (sporadic form)Unclear; multifactorial (sporadic form)
Creutzfeldt-Jakob disease, Gerstmann-Sträussler-Scheinker diseasePrion diseasePrP (prion protein)Mutation (familial form); interactions between wild-type and misfolded proteinsAutosomal dominant (familial form); presence of the misfolded protein form
Neurodegenerative diseases which are model disorders in studies on autophagy inductors as potential therapeutics

Compounds activating autophagy and their therapeutic potential in treatment of metabolic brain diseases

Rapamycin

One of the best known autophagy activators is rapamycin which inhibits the mTOR kinase activity. This compound is widely used as a drug inhibiting lymphocyte activation, thus, as an immunosuppressant it is employed in treatment of patients subjected to transplantations. Rapamycin binds to the cytosolic protein FKBP-12, and following formation of the tertiary complex with mTOR, the kinase activity of this protein is inhibited. As a result, the mTOR kinase substrate, 4EBP1, is not phosphorylated (Jacinto et al. 2004) which leads to destabilization of the mTOR-Raptor complex (Kim et al. 2002). Rapamycin is used in studies on neurodegenerative diseases in both in vitro and in vivo models. Studies on cellular models gave promising results, indicating a possibility to enhance degradation of proteins which cause different disorders, including mutant huntingtin (mHTT) (Ravikumar et al. 2002; Sarkar et al. 2008) and alpha-synuclein (Webb et al. 2003). Nevertheless, more studies are being conducted with animal models. Effects of rapamycin on Huntington’s disease were tested in studies employing models of Drosophila melanogaster (Ravikumar et al. 2004; Sarkar and Rubinsztein 2008; Berger et al. 2006), zebrafish (Williams et al. 2008; Sarkar et al. 2011), and mice (Ravikumar et al. 2004). Animal experiments indicated a decrease in levels of mHTT aggregates, amelioration of neurodegeneration and improved animal behavior. Despite encouraging results of these studies, clinical trials with the use of rapamycin for treatment of HD have not been started yet. Another disease in which rapamycin was tested using animal models is AD. Levels of beta-amyloid and hyperphosphorylated tau protein were determined as basic parameters considered in AD pathology. Experiments with AD mice overproducing the mutated gene coding for the tau protein indicated a highly elevated level of hyperphosphorylated form of this protein, while treatment with rapamycin caused its significant reduction and a decrease in number of neurofibrylar tangles (Ozcelik et al. 2013). Similar tendency was observed in mice producing toxic beta-amyloid, where rapamycin decreased the amount of this compound in the brain and improved the cognitive deficits (Spilman et al. 2010; Majumder et al. 2011; Zhang et al. 2017a; Caccamo et al. 2010). In rapamycin-treated cellular models of PD, levels of alfa-synuclein aggregates were decreased due to stimulation of both lysosomal (autophagy) and proteasomal degradation (Webb et al. 2003). Another example of the disease in which rapamycin was tested as a potential drug is Gerstmann-Sträussler-Scheinker syndrome, belonging to the group of prion diseases. Studies on the mouse model of this disease revealed prolonged life span, delayed symptoms and milder phenotype in animals treated with rapamycin (Cortes et al. 2012). On the other hand, different results were observed in the mouse model of ALS. Despite induction of autophagy, in rapamycin-treated mice, degeneration of motor neurons was enhanced relative to untreated controls and the life span was shorter (Zhang et al. 2011b). No significant differences were observed in the levels of aggregated superoxide dysmutase (SOD) between both groups of animals. The cause of enhanced neurodegeneration in mice treated with rapamycin remains unknown, but it seems unlikely to be due to toxicity of mutated SOD. Despite many encouraging results of studies on rapamycin in cellular and animal models of neurodegenerative diseases, clinical trials have not been performed yet. Some doubts appeared due to the presence of adverse effects occurring in patients treated with this compound as an immunosuppressant. They include severe infections, hemolytic-uremic syndrome, cancer, leukopenia, and bone atrophy. Such adverse effects might be perhaps acceptable in a short-term treatment, for example in the transplantation procedures, however, in a long-term use, which is necessary in neurodegenerative diseases, they would be dangerous for patients.

L-NG-Nitroarginine methyl ester

L-NAME (L-NG-Nitroarginine methyl ester) is an activator of the PI3K/Akt/TSC/mTOR pathway and mTOR-independent JNK1/Beclin-1/PI3K pathway. This compound inhibits formation of nitric oxide, which negatively regulates activity of the JNK1 kinase, leading to impairment of formation of the hVps34/Beclin 1 complex that is required for autophagosome formation. Thus, L-NAME-mediated deprivation of the NO level promotes creation of autophagosomes and enhances efficiency of autophagy. This mechanism has been employed in studies on cellular and animal models of HD (Sarkar et al. 2011). Recent studies on cancer cells indicated that L-NAME induces also another pathway of autophagy stimulation, namely the PI3K/Akt/TSC/mTOR pathway (Zhu et al. 2017). However, determination of relevance of this mechanism in neurodegenerative diseases requires further studies. L-NAME has been tested in studies on AD. Intracranial injection of this compound resulted in improvement of memory and learning of AD mice (in the Morris water maze test) and an increase of the level of autophagy markers, relative to untreated animals (Shariatpanahi et al. 2015).

Trehalose

Trehalose activates both mTOR-dependent and mTOR-independent pathways of autophagy stimulation. It activates the AMPK/TSC/mTOR pathway, however, it also enhances expression of the gene coding for beclin, thus, it acts by stimulation of the JNK1/Beclin-1/PI3K pathway, which is an mTOR-independent mechanism of autophagy activation (Vidal et al. 2014). Translocation of the FoxO transcription factor, a substrate for the Akt kinase (in the mTOR-dependent pathway) has been demonstrated (DeBosch et al. 2016). This indicates that trehalose, similarly to L-NAME, is an inductor of at least two pathways leading to autophagy stimulation. This is supported by results indicating involvement of trehalose in the regulation of the AMPK-dependent pathway (DeBosch et al. 2016). Promising results were obtained in studies on cellular models of PD in which induction of autophagy (Zhao et al. 2017) or proteasomal pathway of protein degradation (Lan et al. 2012) is accompanied with a decrease in the level of quickly aggregating form of A53T-mutated alpha-synuclein. In addition, the cells producing this toxic protein were protected against apoptosis. In studies on the cellular AD model, it was found that the level of endogenous tau protein was reduced and the toxicity caused by formation of aggregates was alleviated after treatment with trehalose (Krüger et al. 2012). It was, therefore, suggested, that this compound might be effective not only in treatment of AD but also other tauopathies. Studies on animal models demonstrated a decreased number of neurons with tau protein aggregates and lower numbers of these aggregates in cells, as well as improved viability of neurons (Schaeffer et al. 2012) as a results of treatment with trehalose. Another study with similar approach indicated improvement of motor functions of animals and alleviation of fear (Rodríguez-Navarro et al. 2010). Decreased quantity of mHTT aggregates and significant improvement of behavior were observed in analogous studies with HD mouse model (Perucho et al. 2016). When trehalose was tested in cellular models of ALS, autophagy-dependent degradation of SOD1 aggregates led to increased viability of neurons. These results were corroborated by studies on the animal model of ALS, in which prolongation of the life span was observed (Castillo et al. 2013).

Resveratrol

Resveratrol is another stimulator of the AMPK/TSC/mTOR pathway. It activates the AMPK kinase which leads to stimulation of the autophagy process (Burkewitz et al. 2014). Efficiency of this compound in removal of toxic protein has been tested in various diseases. Resveratrol has induced autophagy and enhanced degradation of mHTT in the cellular model of HD, in which neuroblastoma SH-SY5Y line was used. Moreover, level of the Atg4 (which is decreased in mHTT-accumulating cells) normalized (Vidoni et al. 2017). This compound has also been used in the 3-nitropropionic acid (3-NPA)-induced rat model of HD. However, it is worth to note that in such animals, neurodegeneration occurs due to changes in mitochondrial metabolism which leads to (i) production of reactive oxygen species, (ii) changes in cellular energetics, and (iii) induction of apoptosis. As a consequence, hypo- and hyper-motoric changes appear which resemble symptoms of HD. Nevertheless, chorea, dyskinesis and dystony never occur in 3-NPA-treated murine models, while they are the most characteristic symptoms in humans. Moreover, this compound does not cause appearance of mHTT, the primary cause of the disease, thus, only secondary effects can be tested (Túnez et al. 2010). Hence, mechanisms of autophagy-mediated degradation of mHTT could not be studied in this model, and the tests included only anti-oxidant properties of resveratrol, which caused an increase in the level of glutathione and a decrease in levels of nitrites, as well as less efficient peroxidation of lipids. Thus, results of memory and motoric tests were better in treated animals than in controls (Kumar et al. 2006). On the other hand, experiments with transgenic HD mice have also been performed. It was suggested that activation of SIRT1 (mammalian sirtuin) by resveratrol increases viability of neurons (Ho et al. 2010). However, this compound did not affect changes in the striatum, motor functions and life span of mice. To test effects of resveratrol on PD, mouse neuroblastoma cell lines (N2a cells) were treated with this compound in combination with β-cyclodextrin. Number of alpha-synuclein aggregates decreased and viability of the cells increased (Gautam et al. 2017). In animals, PD can be induced by MPTP (1-methyl-4-phenyl-1,2,3,6-tetrahydroxypyridine), which is converted to MPDP+ (1-methyl-4-phenyl-2,3-dihydropyridinium), and then to the active metabolite MPP+ (1-methyl-4-phenyl-pyridinium) by astrocytes and acts as an inhibitor of complex I of the mitochondrial electron transport system. This active toxin is catched by dopaminergic neurons in striatum and leads to their degeneration (Porras et al. 2012). When resveratrol was administered to mice before MPTP, a protection against neurodegeneration was observed, dopamine was kept at normal levels, and animal behavior was significantly less changed relative to animals treated solely with the toxin. Molecular studies indicated that SIRT1 is activated by resveratrol which leads to LC3 deacetylation and induction of autophagy. As a result, number of alfa-synuclein decreased in dopaminergic cells (Guo et al. 2016). Other tests, performed with the use of the rat model, suggested an anti-oxidative mechanism of resveratrol action, since the red-ox balance has been re-established, endoplasmic reticulum stress was alleviated, and expression of genes coding for caspases was impaired, which might protected cells against apoptosis (Gaballah et al. 2016).

Calcium canal antagonists

Antagonists of calcium canals, which also activate the Ca2+/calpain pathway, are relatively often tested in metabolic brain diseases. The list of such compounds include: latrepirdine, verapamil, loperamide, nitrendipine, nilvadipine, nimodipine, amiodarone, niguldipine, nicardipine, pimozide, penitrem A, fluspirilene, and trifluoperazine. When the calcium channel is blocked, the intracellular calcium level drops rapidly, thus, calpains are inactivated which stimulates autophagosome formation. Such compounds were tested in cellular models of HD, and it was found that they caused reduction of the mHTT level (Zhang et al. 2007; Williams et al. 2008). Latrepiridine was tested in the cellular model of AD, and decreased levels of calcium ions were correlated with increased viability of cells (Lermontova et al. 2001). However, in that work, autophagy was not suggested as a mechanism leading to such improvement. Experiments with animal models of AD indicated decreased levels of beta-amyloid deposits in the brain and increased levels of autophagy markers in latrepiridine-treated mice (Bharadwaj et al. 2013). In similar experiments, improvement in cognitive tests was reported (Lermontova et al. 2000). However, a clinical trial phase III with this compound as a potential anti-AD drug, gave negative results (Chau et al. 2015; Sweetlove 2012; http://www.alzforum.org/news/research-news/dimebon-disappoints-phase-3-trial?id=2387). Similarly, phase III clinical trial with HD patients failed to demonstrate improvement after treatment with latrepiridine (https://www.genengnews.com/gen-news-highlights/phase-iii-failure-leads-medivation-and-pfizer-to-ditch-dimebon-for-huntington-disease/81244981/). Verapamil has been tested in experiments with a HD mouse model. This drug caused improvement in motoric activity and keeping balance by animals (Kalonia et al. 2011). Although verapamil has not been tested in clinical trials for HD, its efficacy was assessed in treatment of ALS patients. However, 5-month treatment did not result in improvement of the disease parameters (Miller et al. 1996b). When nitrendipine and nilvadipine were studied using AD models, inhibition of beta-amyloid accumulation in vitro and its enhanced degradation in vivo, accompanied with memory improvement in mice, were observed (Paris et al. 2011). Interestingly, quite similar results were obtained during experimental therapy of AD patients when nilvadipine and nimodipine prevented the progression of congnitive problems (Nimmrich and Eckert 2013). On the other hand, in the clinical trial phase III with ALS patients, nimodipine appeared ineffective and many adverse effects were reported, including diarrhea, nausea, and lightheadedness (Miller et al. 1996a). Amiodarone has been tested mainly as a potential anti-AD drug. Experiments were conducted in vitro and in vivo (with the Guinea pig model). Amiodarone was used as a compound which elevates pH, thus, secretases that cut the APP protein (the amyloid precursor) and require acidic environment, were inactivated. Thus, the level of amyloid decreased, however, a mechanism involving stimulation of autophagy was not considered, though the authors suggest that elevation of pH is perhaps not the only way of action of the tested compound (Mitterreiter et al. 2010). Pimozide, is already used in medicine for treatment of schizophrenia and psychotic disorders (Mothi and Sampson 2013). However, its positive effects were observed also in HD. Experimental therapy with a low number of patients indicated an improvement in hyperkinesia (Girotti et al. 1984). Studies with the mouse model of AD which overproduces hyperphosphorylated tau protein, indicated that intraperitoneal administration of pimozide resulted in reduction of aggregates of this protein and to memory improvement in animals (Kim et al. 2017). Interestingly, when considering a possible molecular mechanism of pimozide action, the authors did not consider the calcium channel-dependent pathway. On the contrary, they have detected an increased level of phosphorylation of AMPK and ULK1 kinases, and inhibition of the mTOR kinase activation. They have suggested that pimozide may stimulate as yet unknown pathway of autophagy induction which is dependent on AMPK-ULK interactions, with no involvement of mTOR (Kim et al. 2017). One case of an AD patient treated with pimozide for 5 weeks has been described, and alleviation of dementia was noted; the effects remained unchanged for next 9 months (Renvoize et al. 1987). Despite these results, no clinical trial with this compound was reported to date. Trifluoperazine has been tested as a potential anti-HD and anti-AD drug. However, it was suggested that this compound may inhibit apoptosis, and stimulation of autophagy has not been considered (Lauterbach 2013). Studies with patients included only a very limited number of individuals, though the results were quite encouraging (Stokes 1975). On the other hand, trifluoperazine was widely tested for treatment of AD. However, a clinical trial with this compound indicated that life span of treated patients was shortened by 12 months relative to untreated controls (Ballard et al. 2009). In another clinical trial, no improvement of the disease symptoms could be find (Ballard et al. 2008). Interesting studies were conducted on a PD mouse model, characterized by moderate expression of the gene coding for synucleine, thus the time of death of neurons could be determined precisely. It was found that non-induced autophagy is impaired by accumulated synuclein, while trifluoroperazine-induced autophagy causes a delay in neurons’ death (Höllerhage et al. 2014). When screening for anti-PD compounds was conducted using a zebrafish model, trifluoperazine was identified as a molecule preventing the loss of neurons. It was demonstrated that apart from blocking calcium channels, trifluoperazine stimulated translocation of the transcription factor EB (TFEB; a master regulator for lysosomal biogenesis that also activates autophagy, when present in the nucleus in a non-phosphorylated form, by enhancing transcription of relevant genes) which is a substrate for the mTOR kinase. Therefore, this compound is another factor which can stimulate autophagy through more than one pathway (Zhang et al. 2017b). Studies on other blockers of calcium channels (loperamide, niguldipine, nicardipine, panitrem A, and fluspirilene) as anti-neurodegenerative agents were terminated after in vitro studies (Zhang et al. 2007; Williams et al. 2008) due to adverse effects reported in the meantime by researchers using them for treatment of other diseases. These adverse effects included: constipation, dizziness, nausea, paralytic ileus, angioedema, anaphylaxis reactions, toxic epidermal necrolysis, Stevens-Johnson syndrome, erythema multiform, urinary retention, and heat stroke.

Calpastatin

Calpastatin inhibits activities of calpains, thus, inhibition of autophagosome formation is abolished. Overproduction of calpastatin induced autophagy decreased levels of mHTT, improved motor functions, and delayed appearance of other symptoms in the mouse model of HD (Menzies et al. 2015). Importantly, prolonged administration of calpastatin did not cause any severe adverse effects in animals. In studies on the cellular AD model, an inhibitor of histone deacetylase, trichostatin A, which also increases production of calpastatin, caused an increase in viability of cells (Seo et al. 2013). These results are in agreement with observations that silencing of expression of calpastatin-encoding gene causes changes in cytoskeleton and lowers cell viability (Rao et al. 2008). Moreover, long-term activation of calpains causes overstimulation of many proteases, which leads to degradation of a number of cellular substrates, including cytoskeleton elements and membrane receptors involved in homeostasis maintenance. When calpastatin is overproduced, such effects can be diminished (Schoch et al. 2013). Overexpression of the calpastatin gene in the mouse model of PD resulted in reduction of the number of alpha-synuclein aggregates and improved signal transduction through synapses (Diepenbroek et al. 2014).

Minoxidil

Minoxidil activates potassium channels which prevents the transport of calcium ions into the cell, leading to calpains inactivation and enhanced autophagy (Renna et al. 2010). When cellular models of PD and HD were investigated, minoxidil induced the autophagy process and a decrease in levels of alpha-synuclein and mHTT was observed which was accompanied with increased cell viability (Williams et al. 2008). However, this compound has not been tested yet in animal models.

Lithium

Lithium is tested as a potential drug for many diseases affecting central nervous system (CNS). This agent inhibits activity of inositol monophosphatase, decreasing the level of inositol and IP3 which allows formation of the autophagosome membrane (Sarkar et al. 2005). However, lithium negatively regulates also activity of another enzyme, GSK-3β, causing stimulation of the mTOR kinase and autophagy inhibition. Therefore, it was proposed to combine the use of lithium and rapamycin (an inhibitor of mTOR). This approach appeared significantly more effective than the use of each component separately (Sarkar et al. 2008). However, in studies with the 3-NPA-induced HD rat model, treatment with LiCl for 8 days caused an increase in pathological changes in the brain (Milutinović 2016). On the other hand, it is worth remaining that 3-NPA does not cause the appearance of mHTT aggregates, thus, this is not an adequate model for testing potential drugs which might activate autophagy. In such studies, genetic models of mHTT would be much more relevant. It was also reported that lithium causes a decrease in the level of histone deacetylase (HDAC1) which is correlated with effective degradation of mHTT (Wu et al. 2013). Lithium has also been used in experimental therapy in which 3 patients suffering from HD were involved. In one patient, some neurological parameters were improved, but no changes in chorea could be observed. The second patient responded with improvement in chorea with no neurological changes. In the third patient, stabilization of all symptoms, but no improvement, was noted. Nevertheless, all these patients received also other drugs, including carbamazepine, which makes interpretation of the results very difficult (Danivas et al. 2013). Other clinical trials with HD patients also did not give conclusive results regarding efficacy of lithium due to extremely different responses of various persons (Scheuing et al. 2014). When mice overproducing hyperphosphorylated tau protein were treated with lithium, a significant improvement in behavior and cognitive functions was observed, levels and phosphorylation of tau decreased, as did efficiency of beta-amyloid formation, and levels of autophagy markers increased (Shimada et al. 2012; Zhang et al. 2011a). Efficacy of lithium in the mouse model of PD was tested in a combined therapy with valproic acid. Improvement in behavior and an increase in the number of dopaminergic neurons were evident. Deprivation of dopamine and its metabolite, dihydroxyphenyloacetic acid, was less pronounced than in untreated animals (Li et al. 2013). Analogous combination of drugs was tested in the mouse model of HD. Treated animals expressed improvement in motoric functions and memory (as tested in the Morris water maze). Reduction of the level of mHTT aggregates and less pronounced loss of neurons in striatum were observed. Interestingly, expression of genes coding for proteins involved in mitochondrial metabolism, antioxidative response, apoptosis and anti-inflammatory reactions were significantly modulated (Linares et al. 2016). These results indicate the broad spectrum of biological activities of lithium and valproic acid, as suggest that a complex network of processes is involved in the pathogenesis of HD.

Valproic acid

Valproic acid inhibits activity of myo-inositol-1-phosphate synthase, one of enzymes involved in the metabolism of inositol (Shaltiel et al. 2004), thus, causing a decrease of the level of the latter compound and activation of autophagy. Combination of valproic acid and lithium was tested in clinical trials with HD patients. However, in most cases either a lack of effects or only stabilization of symptoms (with no improvement) were observed (Scheuing et al. 2014). AD model cells were treated with valproic acid, and no changes with the total amount of beta-amyloid were demonstrated while level of beta-amyloid oligomers (which are suggested to be more toxic) decreased and level of monomers increased, relative to untreated control cells (Williams and Bate 2018). This may suggest that beta-amyloid oligomers are converted to monomers in valproic acid-treated cells. Streptozotocin (STZ)-induced rat model of AD has been used in in vivo studies. Intraventricular injection of STZ provokes neurodegeneration and accumulation of beta-amyloid and hyperphosphorylated tau protein, thus, mimicking the sporadic form of AD. Decreased levels of acetylcholine and neprylysine, and increased activity of acetylcholinesterase cause additionally enhanced neurodegeneration and cognitive defects. Treatment with valproic acid resulted in prevention of cognitive deficits and normalization of levels and activities of neurotransmitters (Sorial and El Sayed 2017). Using another animal model of AD, transgenic mice expressing a mutated APP gene, effects of valproic acid in males and females were compared. Decreased levels of amyloid plaques were more pronounced in males than in females, while number of synaptic vesicles were similar in both genders. On the other hand, neurodegeneration was prevented more efficiently in males (Long et al. 2016). Cellular models of PD were used to investigate the mechanism of action of valproic acid. This compound caused reduction of levels of proapoptotic proteins and ROS, while autophagy inhibitors diminished these effects, indicating a crucial role of this process in valproic acid-mediated improvement in PD cellular phenotypes (Zhang et al. 2017c). Other in vitro studies were based on the use of murine neurons treated with human beta-amyloid. Defects in synaptic proteins and neurotransmitter transporting vesicles were observed. These effects were alleviated by addition of valproic acid into the cell culture. A mechanism has been proposed in which this compound negatively regulates cytoplasmic phospholipase A2 (cPLAS2), whose overactivity correlates with neurodegeneration. Autophagy has been suggested as an additional mechanism of the observed changes in cells (Williams and Bate 2016). Controversial results were obtained in studies on prion disease. Early studies suggested that valproic acid causes an increased accumulation of PrP in neuroblastoma cells and model cells for the disease. However, administration of valproic acid to Chinese hamsters infected with prions did not cause any effects on the course of the disease (Shaked et al. 2002). Other studies performed with cellular models did not confirm effects of valproic acid on the levels of PrP (Legendre et al. 2007).

Carbamazepine

Mechanism of action of carbamazepine is similar to that by valproic acid and lithium (Williams et al. 2002). A decrease in the inositol level arises from deprivation of PIP2 and IP3 (Schiebler et al. 2015). Studies with the mouse model of AD indicated that carbamazepine improved learning abilities and memory, which was correlated with decreased number of amyloid plaques (Li et al. 2013; Zhang et al. 2017a). Apart from stimulation of mTOR-independent pathway of autophagy activation, carbamazepine inhibited the mTOR kinase activity. Therefore, it is another example of autophagy stimulation by more than one molecular mechanism (Li et al. 2013). Since carbamazepine is known as an analgesic, anticonvulsant and antiepileptic drug, it has been used for treatment of HD patients (Danivas et al. 2013). It was proposed that its mechanisms of action is related to blocking calcium channels which cause inhibition of glutamate liberation (Kawata et al. 2001). Intriguingly, autophagy was not considered as a mechanism by which carbamazepine improves symptoms of HD. An interesting case report has been published in which carbamazepine was administered to a patient suffering from hypertension, myocardial infraction, and atrial fibrillation. When high doses of the drug were used (as the patient became resistant to lower doses), many adverse effects were noted, including memory deficits, confusion, psychomotor slowness, hypersomnia, dysphasia, and postural instability with falls. The patient’s condition was continuously deteriorating. Psychological tests indicated attentional deficits, perseverations, severe non-fluent aphasia with paraphasias, and constructional apraxia. The EEG results were similar to those found in patients suffering from Creutzfeldt–Jakob disease. After cessation of treatment with carbamazepine both EEG results and patient’s conditions improved considerably. Cognitive deficit and motor dysfunctions normalized. Thus, it was concluded that carbamazepine caused Creutzfeldt–Jakob disease-like symptoms (Horvath et al. 2005).

Clonidine

Clonidine binds and activates the imidazoline receptor, which leads to a decrease in the level of cAMP in cells (Williams et al. 2008). However, it appears that there is an additional mechanism of action of this compound, namely activation of potassium channels which causes a decrease in concentration of calcium ions in the cytoplasm (Murphy and Freedman 2001). Clonidine was used as one of compounds activating autophagy in the screening for a potential drug for HD and PD. It was effective in reducing amounts of synuclein and mHTT in cells (Williams et al. 2008). In vivo experiments were performed with reserpine-treated rat model of Parkinson's disease. Following injection of reserpine, severe akinesis was observed which could be prevented by previous treatment with clonidine (Hill and Brotchie 1999). However, stimulation of autophagy was not considered as a potential mechanism of action of this drug. In PD potential therapies concentrate on inhibition of movements while patients suffer also from cognitive deficits and mood swings. When clonidine, as an agonist of adrenergic receptor alpha-2, was tested as a potential drug at early phase of PD in a monkey model (Macaca fasicularis), it was found that the treatment caused improvement in concentration and memory (Schneider et al. 2010). Models of memory deficits were also used in studies on clonidine. In murine models, the symptoms were induced by administration of NMDA (N-methyl-D-aspartate) antagonist MK-801 or by excitotoxic hippocampal damage. Clonidine ameliorated symptoms caused by MK-801, but did not change behavior of rats in which hippocampus was damaged by excitotoxic agents (Bardgett et al. 2008). The only studies on the use of clonidine in prion disease were performed with the yeast model. However, no significant effects on the level of PrPSC could be observed (Tribouillard-Tanvier et al. 2008).

Rilmenidine

Rilmenidine induces the autophagy proces through the cAMP/EPC/PLC pathway. Similarly to clonidine, it binds and activates the imidazoline receptor. It was tested in experiments with cellular HD and PD models, and caused a decrease in levels of mHTT and alpha-synuclein (Williams et al. 2008). In the mouse model of HD, reduction of mHTT levels was also observed but number of aggregates remained unchanged. Although rilmenidine could not prevent the body weight loss, it corrected the muscle parameters and general condition of the organism (Rose et al. 2010). Although a clinical study with 18 HD patients has been conducted, only 12 patients completed this trial. Some cognitive parameters and motor functions were improved (Underwood et al. 2017); however, a study with significantly higher number of patients is necessary to make solid conclusions. Cellular and animal models of ALS were used to study effects of rilmenidine in this disease. A decrease in mutant SOD1 level was observed in cells in which macroautophagy and mitophagy were also evident. Similarly, administration of this drug to mice suffering from ALS resulted in autophagy induction in motor neurons. Unexpectedly, enhanced degeneration of these neurons was observed under these conditions. Moreover, accumulation of SOD aggregates and a decrease in number of mitochondria occurred in treated animals, and correlated with more severe symptoms relative to untreated mice. It was suggested that too extensive mitophagy could be responsible for these effects (Perera et al. 2017).

Dideoxyadenosine

Dideoxyadenosine (2’5’ddA) inhibits the activity of adenylate cyclase which leads to a rapid decrease in the cAMP level in cells, and subsequent stimulation of autophagy. In studies with a cellular model of HD, treatment with 2’5’ddA resulted in decreased levels of mHTT and its aggregates (Williams et al. 2008). No reports were published on the use of this compound in experiments with animal models.

SMER28

SMER28 appears to induce autophagy through both PI3K/Akt/TSC/mTOR and JNK1/Beclin-1/PI3K pathways (Sarkar et al. 2011). When cellular model of AD was employed, treatment with SMER28 prevented formation of beta-amyloid aggregates in a dose-response mode (Shen et al. 2011). When production of Beclin-1 was impaired, effects of SMER28 were diminished. Similar effects were observed in experiments with silencing of expression of the gene coding for ULK kinase. Therefore, SMER28 appears to stimulate mTOR-dependent and mTOR-independent mechanisms of autophagy activation pathways (Tian et al. 2011).

Concluding remarks

There are various possibilities to induce autophagy. In this review, mechanisms of these pathways were discussed to indicate how this process can be stimulated, which is in contrast to most other review article that described mechanisms of negative regulations (in fact autophagy is regulated by various inhibitors). Stimulation of autophagy has been considered as a strategy for treatment of various neurodegenerative diseases. Although there are many encouraging results obtained in experiments with cellular and animal models (described in this review in particular sections presenting various ways of autophagy stimulation), specific treatments of metabolic brain diseases are not yet available. One of the most important problem is appearance of severe adverse effects when strong autophagy stimulators are tested. Such effects were observed for rapamycin, nimodipine, loperamide, niguldipine, nicardipine, panitrem A, fluspirilene, calpastatin, and carbamazepine. Therefore, a compound which activates this process but is also safe in the long-term use is highly desirable. In this light it is worth mentioning that genistein (5, 7-dihydroxy-3- (4-hydroxyphenyl)-4H-1-benzopyran-4-one), a natural isoflavone, has been demonstrated recently to decrease levels of mutant huntingtin and to reduce number and size of aggregates of this toxic protein in the cellular model of HD by autophagy stimulation (Pierzynowska et al. 2018). This isoflavone could alleviate lysosomal storage of glycosaminoglycans in vitro and in vivo (in visceral organs and in the brain), and correct animal behavior in various models of mucopolysaccharidosis type I, II and III, a neurodegenerative metabolic disease (Piotrowska et al. 2006; Friso et al. 2010; Malinowska et al. 2009, 2010). Genistien has been demonstrated to be safe for a long-term use (over 1 year) at the dose as high as 150 mg/kg/day (Kim et al. 2013). Therefore, it may be considered as a promising agent for development of an effective and safe therapeutics for treatment of neurodegenerative diseases by stimulation of autophagy. Interestingly, one compound is sometimes able to activate the autophagy process by both mTOR-dependent and mTOR-independent pathways. Such molecules (exemplified by L-NG-nitroarginine methyl ester, trehalose, pimozide or trifluoperazine) are often very effective in removing toxic protein aggregates from cells. It is worth noting that there are links between different mTOR-dependent pathways, which may enhance effects of certain activators of autophagy. Although no such links were discovered between mTOR-dependent and mTOR-independent pathways, the existence of compounds that stimulate autophagy by both these mechanisms might suggest a possibility that there are some cross-talks between molecules involved in both types of pathways.
  179 in total

Review 1.  Apoptosis and autophagy in involuting bovine mammary gland.

Authors:  J Zarzynska; T Motyl
Journal:  J Physiol Pharmacol       Date:  2008-12       Impact factor: 3.011

Review 2.  Regulation of lipid droplets by autophagy.

Authors:  Hanqing Dong; Mark J Czaja
Journal:  Trends Endocrinol Metab       Date:  2011-03-16       Impact factor: 12.015

3.  Rapamycin treatment augments motor neuron degeneration in SOD1(G93A) mouse model of amyotrophic lateral sclerosis.

Authors:  Xiaojie Zhang; Liang Li; Sheng Chen; Dehua Yang; Yi Wang; Xin Zhang; Zheng Wang; Weidong Le
Journal:  Autophagy       Date:  2011-04-01       Impact factor: 16.016

4.  JNK1-mediated phosphorylation of Bcl-2 regulates starvation-induced autophagy.

Authors:  Yongjie Wei; Sophie Pattingre; Sangita Sinha; Michael Bassik; Beth Levine
Journal:  Mol Cell       Date:  2008-06-20       Impact factor: 17.970

Review 5.  The TSC1-TSC2 complex: a molecular switchboard controlling cell growth.

Authors:  Jingxiang Huang; Brendan D Manning
Journal:  Biochem J       Date:  2008-06-01       Impact factor: 3.857

6.  Valproic acid protects against MPP+-mediated neurotoxicity in SH-SY5Y Cells through autophagy.

Authors:  Y Zhang; J Y Wu; L H Weng; X X Li; L J Yu; Y Xu
Journal:  Neurosci Lett       Date:  2016-12-09       Impact factor: 3.046

7.  Lithium induces autophagy by inhibiting inositol monophosphatase.

Authors:  Sovan Sarkar; R Andres Floto; Zdenek Berger; Sara Imarisio; Axelle Cordenier; Matthieu Pasco; Lynnette J Cook; David C Rubinsztein
Journal:  J Cell Biol       Date:  2005-09-26       Impact factor: 10.539

8.  Autophagy inhibition enhances vorinostat-induced apoptosis via ubiquitinated protein accumulation.

Authors:  Jennifer S Carew; Ernest C Medina; Juan A Esquivel; Devalingam Mahalingam; Ronan Swords; Kevin Kelly; Hui Zhang; Peng Huang; Alain C Mita; Monica M Mita; Francis J Giles; Steffan T Nawrocki
Journal:  J Cell Mol Med       Date:  2010-10       Impact factor: 5.310

9.  A rational mechanism for combination treatment of Huntington's disease using lithium and rapamycin.

Authors:  Sovan Sarkar; Gauri Krishna; Sara Imarisio; Shinji Saiki; Cahir J O'Kane; David C Rubinsztein
Journal:  Hum Mol Genet       Date:  2007-10-06       Impact factor: 6.150

10.  Regulation of autophagy by kinases.

Authors:  Savitha Sridharan; Kirti Jain; Alakananda Basu
Journal:  Cancers (Basel)       Date:  2011-06-09       Impact factor: 6.639

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  20 in total

Review 1.  The impact of proteostasis dysfunction secondary to environmental and genetic causes on neurodegenerative diseases progression and potential therapeutic intervention.

Authors:  Abdelmagid M Elmatboly; Ahmed M Sherif; Dalia A Deeb; Amira Benmelouka; May N Bin-Jumah; Lotfi Aleya; Mohamed M Abdel-Daim
Journal:  Environ Sci Pollut Res Int       Date:  2020-02-19       Impact factor: 4.223

2.  The Novel Alpha-2 Adrenoceptor Inhibitor Beditin Reduces Cytotoxicity and Huntingtin Aggregates in Cell Models of Huntington's Disease.

Authors:  Elisabeth Singer; Lilit Hunanyan; Magda M Melkonyan; Jonasz J Weber; Lusine Danielyan; Huu Phuc Nguyen
Journal:  Pharmaceuticals (Basel)       Date:  2021-03-12

3.  Spermidine, a caloric restriction mimetic, provides neuroprotection against normal and D-galactose-induced oxidative stress and apoptosis through activation of autophagy in male rats during aging.

Authors:  Sandeep Singh; Raushan Kumar; Geetika Garg; Abhishek Kumar Singh; Avnish Kumar Verma; Akalabya Bissoyi; Syed Ibrahim Rizvi
Journal:  Biogerontology       Date:  2020-09-26       Impact factor: 4.277

Review 4.  Endosomal-lysosomal dysfunctions in Alzheimer's disease: Pathogenesis and therapeutic interventions.

Authors:  Shereen Shi Min Lai; Khuen Yen Ng; Rhun Yian Koh; Kian Chung Chok; Soi Moi Chye
Journal:  Metab Brain Dis       Date:  2021-04-21       Impact factor: 3.584

5.  SETX (senataxin), the helicase mutated in AOA2 and ALS4, functions in autophagy regulation.

Authors:  Patricia Richard; Shuang Feng; Yueh-Lin Tsai; Wencheng Li; Paola Rinchetti; Ubayed Muhith; Juan Irizarry-Cole; Katharine Stolz; Lionel A Sanz; Stella Hartono; Mainul Hoque; Saba Tadesse; Hervé Seitz; Francesco Lotti; Michio Hirano; Frédéric Chédin; Bin Tian; James L Manley
Journal:  Autophagy       Date:  2020-08-07       Impact factor: 16.016

6.  Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1.

Authors:  Daniel J Klionsky; Amal Kamal Abdel-Aziz; Sara Abdelfatah; Mahmoud Abdellatif; Asghar Abdoli; Steffen Abel; Hagai Abeliovich; Marie H Abildgaard; Yakubu Princely Abudu; Abraham Acevedo-Arozena; Iannis E Adamopoulos; Khosrow Adeli; Timon E Adolph; Annagrazia Adornetto; Elma Aflaki; Galila Agam; Anupam Agarwal; Bharat B Aggarwal; Maria Agnello; Patrizia Agostinis; Javed N Agrewala; Alexander Agrotis; Patricia V Aguilar; S Tariq Ahmad; Zubair M Ahmed; Ulises Ahumada-Castro; Sonja Aits; Shu Aizawa; Yunus Akkoc; Tonia Akoumianaki; Hafize Aysin Akpinar; Ahmed M Al-Abd; Lina Al-Akra; Abeer Al-Gharaibeh; Moulay A Alaoui-Jamali; Simon Alberti; Elísabet Alcocer-Gómez; Cristiano Alessandri; Muhammad Ali; M Abdul Alim Al-Bari; Saeb Aliwaini; Javad Alizadeh; Eugènia Almacellas; Alexandru Almasan; Alicia Alonso; Guillermo D Alonso; Nihal Altan-Bonnet; Dario C Altieri; Élida M C Álvarez; Sara Alves; Cristine Alves da Costa; Mazen M Alzaharna; Marialaura Amadio; Consuelo Amantini; Cristina Amaral; Susanna Ambrosio; Amal O Amer; Veena Ammanathan; Zhenyi An; Stig U Andersen; Shaida A Andrabi; Magaiver Andrade-Silva; Allen M Andres; Sabrina Angelini; David Ann; Uche C Anozie; Mohammad Y Ansari; Pedro Antas; Adam Antebi; Zuriñe Antón; Tahira Anwar; Lionel Apetoh; Nadezda Apostolova; Toshiyuki Araki; Yasuhiro Araki; Kohei Arasaki; Wagner L Araújo; Jun Araya; Catherine Arden; Maria-Angeles Arévalo; Sandro Arguelles; Esperanza Arias; Jyothi Arikkath; Hirokazu Arimoto; Aileen R Ariosa; Darius Armstrong-James; Laetitia Arnauné-Pelloquin; Angeles Aroca; Daniela S Arroyo; Ivica Arsov; Rubén Artero; Dalia Maria Lucia Asaro; Michael Aschner; Milad Ashrafizadeh; Osnat Ashur-Fabian; Atanas G Atanasov; Alicia K Au; Patrick Auberger; Holger W Auner; Laure Aurelian; Riccardo Autelli; Laura Avagliano; Yenniffer Ávalos; Sanja Aveic; Célia Alexandra Aveleira; Tamar Avin-Wittenberg; Yucel Aydin; Scott Ayton; Srinivas Ayyadevara; Maria Azzopardi; Misuzu Baba; Jonathan M Backer; Steven K Backues; Dong-Hun Bae; Ok-Nam Bae; Soo Han Bae; Eric H Baehrecke; Ahruem Baek; Seung-Hoon Baek; Sung Hee Baek; Giacinto Bagetta; Agnieszka Bagniewska-Zadworna; Hua Bai; Jie Bai; Xiyuan Bai; Yidong Bai; Nandadulal Bairagi; Shounak Baksi; Teresa Balbi; Cosima T Baldari; Walter Balduini; Andrea Ballabio; Maria Ballester; Salma Balazadeh; Rena Balzan; Rina Bandopadhyay; Sreeparna Banerjee; Sulagna Banerjee; Ágnes Bánréti; Yan Bao; Mauricio S Baptista; Alessandra Baracca; Cristiana Barbati; Ariadna Bargiela; Daniela Barilà; Peter G Barlow; Sami J Barmada; Esther Barreiro; George E Barreto; Jiri Bartek; Bonnie Bartel; Alberto Bartolome; Gaurav R Barve; Suresh H Basagoudanavar; Diane C Bassham; Robert C Bast; Alakananda Basu; Henri Batoko; Isabella Batten; Etienne E Baulieu; Bradley L Baumgarner; Jagadeesh Bayry; Rupert Beale; Isabelle Beau; Florian Beaumatin; Luiz R G Bechara; George R Beck; Michael F Beers; Jakob Begun; Christian Behrends; Georg M N Behrens; Roberto Bei; Eloy Bejarano; Shai Bel; Christian Behl; Amine Belaid; Naïma Belgareh-Touzé; Cristina Bellarosa; Francesca Belleudi; Melissa Belló Pérez; Raquel Bello-Morales; Jackeline Soares de Oliveira Beltran; Sebastián Beltran; Doris Mangiaracina Benbrook; Mykolas Bendorius; Bruno A Benitez; Irene Benito-Cuesta; Julien Bensalem; Martin W Berchtold; Sabina Berezowska; Daniele Bergamaschi; Matteo Bergami; Andreas Bergmann; Laura Berliocchi; Clarisse Berlioz-Torrent; Amélie Bernard; Lionel Berthoux; Cagri G Besirli; Sebastien Besteiro; Virginie M Betin; Rudi Beyaert; Jelena S Bezbradica; Kiran Bhaskar; Ingrid Bhatia-Kissova; Resham Bhattacharya; Sujoy Bhattacharya; Shalmoli Bhattacharyya; Md Shenuarin Bhuiyan; Sujit Kumar Bhutia; Lanrong Bi; Xiaolin Bi; Trevor J Biden; Krikor Bijian; Viktor A Billes; Nadine Binart; Claudia Bincoletto; Asa B Birgisdottir; Geir Bjorkoy; Gonzalo Blanco; Ana Blas-Garcia; Janusz Blasiak; Robert Blomgran; Klas Blomgren; Janice S Blum; Emilio Boada-Romero; Mirta Boban; Kathleen Boesze-Battaglia; Philippe Boeuf; Barry Boland; Pascale Bomont; Paolo Bonaldo; Srinivasa Reddy Bonam; Laura Bonfili; Juan S Bonifacino; Brian A Boone; Martin D Bootman; Matteo Bordi; Christoph Borner; Beat C Bornhauser; Gautam Borthakur; Jürgen Bosch; Santanu Bose; Luis M Botana; Juan Botas; Chantal M Boulanger; Michael E Boulton; Mathieu Bourdenx; Benjamin Bourgeois; Nollaig M Bourke; Guilhem Bousquet; Patricia Boya; Peter V Bozhkov; Luiz H M Bozi; Tolga O Bozkurt; Doug E Brackney; Christian H Brandts; Ralf J Braun; Gerhard H Braus; Roberto Bravo-Sagua; José M Bravo-San Pedro; Patrick Brest; Marie-Agnès Bringer; Alfredo Briones-Herrera; V Courtney Broaddus; Peter Brodersen; Jeffrey L Brodsky; Steven L Brody; Paola G Bronson; Jeff M Bronstein; Carolyn N Brown; Rhoderick E Brown; Patricia C Brum; John H Brumell; Nicola Brunetti-Pierri; Daniele Bruno; Robert J Bryson-Richardson; Cecilia Bucci; Carmen Buchrieser; Marta Bueno; Laura Elisa Buitrago-Molina; Simone Buraschi; Shilpa Buch; J Ross Buchan; Erin M Buckingham; Hikmet Budak; Mauricio Budini; Geert Bultynck; Florin Burada; Joseph R Burgoyne; M Isabel Burón; Victor Bustos; Sabrina Büttner; Elena Butturini; Aaron Byrd; Isabel Cabas; Sandra Cabrera-Benitez; Ken Cadwell; Jingjing Cai; Lu Cai; Qian Cai; Montserrat Cairó; Jose A Calbet; Guy A Caldwell; Kim A Caldwell; Jarrod A Call; Riccardo Calvani; Ana C Calvo; Miguel Calvo-Rubio Barrera; Niels Os Camara; Jacques H Camonis; Nadine Camougrand; Michelangelo Campanella; Edward M Campbell; François-Xavier Campbell-Valois; Silvia Campello; Ilaria Campesi; Juliane C Campos; Olivier Camuzard; Jorge Cancino; Danilo Candido de Almeida; Laura Canesi; Isabella Caniggia; Barbara Canonico; Carles Cantí; Bin Cao; Michele Caraglia; Beatriz Caramés; Evie H Carchman; Elena Cardenal-Muñoz; Cesar Cardenas; Luis Cardenas; Sandra M Cardoso; Jennifer S Carew; Georges F Carle; Gillian Carleton; Silvia Carloni; Didac Carmona-Gutierrez; Leticia A Carneiro; Oliana Carnevali; Julian M Carosi; Serena Carra; Alice Carrier; Lucie Carrier; Bernadette Carroll; A Brent Carter; Andreia Neves Carvalho; Magali Casanova; Caty Casas; Josefina Casas; Chiara Cassioli; Eliseo F Castillo; Karen Castillo; Sonia Castillo-Lluva; Francesca Castoldi; Marco Castori; Ariel F Castro; Margarida Castro-Caldas; Javier Castro-Hernandez; Susana Castro-Obregon; Sergio D Catz; Claudia Cavadas; Federica Cavaliere; Gabriella Cavallini; Maria Cavinato; Maria L Cayuela; Paula Cebollada Rica; Valentina Cecarini; Francesco Cecconi; Marzanna Cechowska-Pasko; Simone Cenci; Victòria Ceperuelo-Mallafré; João J Cerqueira; Janete M Cerutti; Davide Cervia; Vildan Bozok Cetintas; Silvia Cetrullo; Han-Jung Chae; Andrei S Chagin; Chee-Yin Chai; Gopal Chakrabarti; Oishee Chakrabarti; Tapas Chakraborty; Trinad Chakraborty; Mounia Chami; Georgios Chamilos; David W Chan; Edmond Y W Chan; Edward D Chan; H Y Edwin Chan; Helen H Chan; Hung Chan; Matthew T V Chan; Yau Sang Chan; Partha K Chandra; Chih-Peng Chang; Chunmei Chang; Hao-Chun Chang; Kai Chang; Jie Chao; Tracey Chapman; Nicolas Charlet-Berguerand; Samrat Chatterjee; Shail K Chaube; Anu Chaudhary; Santosh Chauhan; Edward Chaum; Frédéric Checler; Michael E Cheetham; Chang-Shi Chen; Guang-Chao Chen; Jian-Fu Chen; Liam L Chen; Leilei Chen; Lin Chen; Mingliang Chen; Mu-Kuan Chen; Ning Chen; Quan Chen; Ruey-Hwa Chen; Shi Chen; Wei Chen; Weiqiang Chen; Xin-Ming Chen; Xiong-Wen Chen; Xu Chen; Yan Chen; Ye-Guang Chen; Yingyu Chen; Yongqiang Chen; Yu-Jen Chen; Yue-Qin Chen; Zhefan Stephen Chen; Zhi Chen; Zhi-Hua Chen; Zhijian J Chen; Zhixiang Chen; Hanhua Cheng; Jun Cheng; Shi-Yuan Cheng; Wei Cheng; Xiaodong Cheng; Xiu-Tang Cheng; Yiyun Cheng; Zhiyong Cheng; Zhong Chen; Heesun Cheong; Jit Kong Cheong; Boris V Chernyak; Sara Cherry; Chi Fai Randy Cheung; Chun Hei Antonio Cheung; King-Ho Cheung; Eric Chevet; Richard J Chi; Alan Kwok Shing Chiang; Ferdinando Chiaradonna; Roberto Chiarelli; Mario Chiariello; Nathalia Chica; Susanna Chiocca; Mario Chiong; Shih-Hwa Chiou; Abhilash I Chiramel; Valerio Chiurchiù; Dong-Hyung Cho; Seong-Kyu Choe; Augustine M K Choi; Mary E Choi; Kamalika Roy Choudhury; Norman S Chow; Charleen T Chu; Jason P Chua; John Jia En Chua; Hyewon Chung; Kin Pan Chung; Seockhoon Chung; So-Hyang Chung; Yuen-Li Chung; Valentina Cianfanelli; Iwona A Ciechomska; Mariana Cifuentes; Laura Cinque; Sebahattin Cirak; Mara Cirone; Michael J Clague; Robert Clarke; Emilio Clementi; Eliana M Coccia; Patrice Codogno; Ehud Cohen; Mickael M Cohen; Tania Colasanti; Fiorella Colasuonno; Robert A Colbert; Anna Colell; Miodrag Čolić; Nuria S Coll; Mark O Collins; María I Colombo; Daniel A Colón-Ramos; Lydie Combaret; Sergio Comincini; Márcia R Cominetti; Antonella Consiglio; Andrea Conte; Fabrizio Conti; Viorica Raluca Contu; Mark R Cookson; Kevin M Coombs; Isabelle Coppens; Maria Tiziana Corasaniti; Dale P Corkery; Nils Cordes; Katia Cortese; Maria do Carmo Costa; Sarah Costantino; Paola Costelli; Ana Coto-Montes; Peter J Crack; Jose L Crespo; Alfredo Criollo; Valeria Crippa; Riccardo Cristofani; Tamas Csizmadia; Antonio Cuadrado; Bing Cui; Jun Cui; Yixian Cui; Yong Cui; Emmanuel Culetto; Andrea C Cumino; Andrey V Cybulsky; Mark J Czaja; Stanislaw J Czuczwar; Stefania D'Adamo; Marcello D'Amelio; Daniela D'Arcangelo; Andrew C D'Lugos; Gabriella D'Orazi; James A da Silva; Hormos Salimi Dafsari; Ruben K Dagda; Yasin Dagdas; Maria Daglia; Xiaoxia Dai; Yun Dai; Yuyuan Dai; Jessica Dal Col; Paul Dalhaimer; Luisa Dalla Valle; Tobias Dallenga; Guillaume Dalmasso; Markus Damme; Ilaria Dando; Nico P Dantuma; April L Darling; Hiranmoy Das; Srinivasan Dasarathy; Santosh K Dasari; Srikanta Dash; Oliver Daumke; Adrian N Dauphinee; Jeffrey S Davies; Valeria A Dávila; Roger J Davis; Tanja Davis; Sharadha Dayalan Naidu; Francesca De Amicis; Karolien De Bosscher; Francesca De Felice; Lucia De Franceschi; Chiara De Leonibus; Mayara G de Mattos Barbosa; Guido R Y De Meyer; Angelo De Milito; Cosimo De Nunzio; Clara De Palma; Mauro De Santi; Claudio De Virgilio; Daniela De Zio; Jayanta Debnath; Brian J DeBosch; Jean-Paul Decuypere; Mark A Deehan; Gianluca Deflorian; James DeGregori; Benjamin Dehay; Gabriel Del Rio; Joe R Delaney; Lea M D Delbridge; Elizabeth Delorme-Axford; M Victoria Delpino; Francesca Demarchi; Vilma Dembitz; Nicholas D Demers; Hongbin Deng; Zhiqiang Deng; Joern Dengjel; Paul Dent; Donna Denton; Melvin L DePamphilis; Channing J Der; Vojo Deretic; Albert Descoteaux; Laura Devis; Sushil Devkota; Olivier Devuyst; Grant Dewson; Mahendiran Dharmasivam; Rohan Dhiman; Diego di Bernardo; Manlio Di Cristina; Fabio Di Domenico; Pietro Di Fazio; Alessio Di Fonzo; Giovanni Di Guardo; Gianni M Di Guglielmo; Luca Di Leo; Chiara Di Malta; Alessia Di Nardo; Martina Di Rienzo; Federica Di Sano; George Diallinas; Jiajie Diao; Guillermo Diaz-Araya; Inés Díaz-Laviada; Jared M Dickinson; Marc Diederich; Mélanie Dieudé; Ivan Dikic; Shiping Ding; Wen-Xing Ding; Luciana Dini; Jelena Dinić; Miroslav Dinic; Albena T Dinkova-Kostova; Marc S Dionne; Jörg H W Distler; Abhinav Diwan; Ian M C Dixon; Mojgan Djavaheri-Mergny; Ina Dobrinski; Oxana Dobrovinskaya; Radek Dobrowolski; Renwick C J Dobson; Jelena Đokić; Serap Dokmeci Emre; Massimo Donadelli; Bo Dong; Xiaonan Dong; Zhiwu Dong; Gerald W Dorn Ii; Volker Dotsch; Huan Dou; Juan Dou; Moataz Dowaidar; Sami Dridi; Liat Drucker; Ailian Du; Caigan Du; Guangwei Du; Hai-Ning Du; Li-Lin Du; André du Toit; Shao-Bin Duan; Xiaoqiong Duan; Sónia P Duarte; Anna Dubrovska; Elaine A Dunlop; Nicolas Dupont; Raúl V Durán; Bilikere S Dwarakanath; Sergey A Dyshlovoy; Darius Ebrahimi-Fakhari; Leopold Eckhart; Charles L Edelstein; Thomas Efferth; Eftekhar Eftekharpour; Ludwig Eichinger; Nabil Eid; Tobias Eisenberg; N Tony Eissa; Sanaa Eissa; Miriam Ejarque; Abdeljabar El Andaloussi; Nazira El-Hage; Shahenda El-Naggar; Anna Maria Eleuteri; Eman S El-Shafey; Mohamed Elgendy; Aristides G Eliopoulos; María M Elizalde; Philip M Elks; Hans-Peter Elsasser; Eslam S Elsherbiny; Brooke M Emerling; N C Tolga Emre; Christina H Eng; Nikolai Engedal; Anna-Mart Engelbrecht; Agnete S T Engelsen; Jorrit M Enserink; Ricardo Escalante; Audrey Esclatine; Mafalda Escobar-Henriques; Eeva-Liisa Eskelinen; Lucile Espert; Makandjou-Ola Eusebio; Gemma Fabrias; Cinzia Fabrizi; Antonio Facchiano; Francesco Facchiano; Bengt Fadeel; Claudio Fader; Alex C Faesen; W Douglas Fairlie; Alberto Falcó; Bjorn H Falkenburger; Daping Fan; Jie Fan; Yanbo Fan; Evandro F Fang; Yanshan Fang; Yognqi Fang; Manolis Fanto; Tamar Farfel-Becker; Mathias Faure; Gholamreza Fazeli; Anthony O Fedele; Arthur M Feldman; Du Feng; Jiachun Feng; Lifeng Feng; Yibin Feng; Yuchen Feng; Wei Feng; Thais Fenz Araujo; Thomas A Ferguson; Álvaro F Fernández; Jose C Fernandez-Checa; Sonia Fernández-Veledo; Alisdair R Fernie; Anthony W Ferrante; Alessandra Ferraresi; Merari F Ferrari; Julio C B Ferreira; Susan Ferro-Novick; Antonio Figueras; Riccardo Filadi; Nicoletta Filigheddu; Eduardo Filippi-Chiela; Giuseppe Filomeni; Gian Maria Fimia; Vittorio Fineschi; Francesca Finetti; Steven Finkbeiner; Edward A Fisher; Paul B Fisher; Flavio Flamigni; Steven J Fliesler; Trude H Flo; Ida Florance; Oliver Florey; Tullio Florio; Erika Fodor; Carlo Follo; Edward A Fon; Antonella Forlino; Francesco Fornai; Paola Fortini; Anna Fracassi; Alessandro Fraldi; Brunella Franco; Rodrigo Franco; Flavia Franconi; Lisa B Frankel; Scott L Friedman; Leopold F Fröhlich; Gema Frühbeck; Jose M Fuentes; Yukio Fujiki; Naonobu Fujita; Yuuki Fujiwara; Mitsunori Fukuda; Simone Fulda; Luc Furic; Norihiko Furuya; Carmela Fusco; Michaela U Gack; Lidia Gaffke; Sehamuddin Galadari; Alessia Galasso; Maria F Galindo; Sachith Gallolu Kankanamalage; Lorenzo Galluzzi; Vincent Galy; Noor Gammoh; Boyi Gan; Ian G Ganley; Feng Gao; Hui Gao; Minghui Gao; Ping Gao; Shou-Jiang Gao; Wentao Gao; Xiaobo Gao; Ana Garcera; Maria Noé Garcia; Verónica E Garcia; Francisco García-Del Portillo; Vega Garcia-Escudero; Aracely Garcia-Garcia; Marina Garcia-Macia; Diana García-Moreno; Carmen Garcia-Ruiz; Patricia García-Sanz; Abhishek D Garg; Ricardo Gargini; Tina Garofalo; Robert F Garry; Nils C Gassen; Damian Gatica; Liang Ge; Wanzhong Ge; Ruth Geiss-Friedlander; Cecilia Gelfi; Pascal Genschik; Ian E Gentle; Valeria Gerbino; Christoph Gerhardt; Kyla Germain; Marc Germain; David A Gewirtz; Elham Ghasemipour Afshar; Saeid Ghavami; Alessandra Ghigo; Manosij Ghosh; Georgios Giamas; Claudia Giampietri; Alexandra Giatromanolaki; Gary E Gibson; Spencer B Gibson; Vanessa Ginet; Edward Giniger; Carlotta Giorgi; Henrique Girao; Stephen E Girardin; Mridhula Giridharan; Sandy Giuliano; Cecilia Giulivi; Sylvie Giuriato; Julien Giustiniani; Alexander Gluschko; Veit Goder; Alexander Goginashvili; Jakub Golab; David C Goldstone; Anna Golebiewska; Luciana R Gomes; Rodrigo Gomez; Rubén Gómez-Sánchez; Maria Catalina Gomez-Puerto; Raquel Gomez-Sintes; Qingqiu Gong; Felix M Goni; Javier González-Gallego; Tomas Gonzalez-Hernandez; Rosa A Gonzalez-Polo; Jose A Gonzalez-Reyes; Patricia González-Rodríguez; Ing Swie Goping; Marina S Gorbatyuk; Nikolai V Gorbunov; Kıvanç Görgülü; Roxana M Gorojod; Sharon M Gorski; Sandro Goruppi; Cecilia Gotor; Roberta A Gottlieb; Illana Gozes; Devrim Gozuacik; Martin Graef; Markus H Gräler; Veronica Granatiero; Daniel Grasso; Joshua P Gray; Douglas R Green; Alexander Greenhough; Stephen L Gregory; Edward F Griffin; Mark W Grinstaff; Frederic Gros; Charles Grose; Angelina S Gross; Florian Gruber; Paolo Grumati; Tilman Grune; Xueyan Gu; Jun-Lin Guan; Carlos M Guardia; Kishore Guda; Flora Guerra; Consuelo Guerri; Prasun Guha; Carlos Guillén; Shashi Gujar; Anna Gukovskaya; Ilya Gukovsky; Jan Gunst; Andreas Günther; Anyonya R Guntur; Chuanyong Guo; Chun Guo; Hongqing Guo; Lian-Wang Guo; Ming Guo; Pawan Gupta; Shashi Kumar Gupta; Swapnil Gupta; Veer Bala Gupta; Vivek Gupta; Asa B Gustafsson; David D Gutterman; Ranjitha H B; Annakaisa Haapasalo; James E Haber; Aleksandra Hać; Shinji Hadano; Anders J Hafrén; Mansour Haidar; Belinda S Hall; Gunnel Halldén; Anne Hamacher-Brady; Andrea Hamann; Maho Hamasaki; Weidong Han; Malene Hansen; Phyllis I Hanson; Zijian Hao; Masaru Harada; Ljubica Harhaji-Trajkovic; Nirmala Hariharan; Nigil Haroon; James Harris; Takafumi Hasegawa; Noor Hasima Nagoor; Jeffrey A Haspel; Volker Haucke; Wayne D Hawkins; Bruce A Hay; Cole M Haynes; Soren B Hayrabedyan; Thomas S Hays; Congcong He; Qin He; Rong-Rong He; You-Wen He; Yu-Ying He; Yasser Heakal; Alexander M Heberle; J Fielding Hejtmancik; Gudmundur Vignir Helgason; Vanessa Henkel; Marc Herb; Alexander Hergovich; Anna Herman-Antosiewicz; Agustín Hernández; Carlos Hernandez; Sergio Hernandez-Diaz; Virginia Hernandez-Gea; Amaury Herpin; Judit Herreros; Javier H Hervás; Daniel Hesselson; Claudio Hetz; Volker T Heussler; Yujiro Higuchi; Sabine Hilfiker; Joseph A Hill; William S Hlavacek; Emmanuel A Ho; Idy H T Ho; Philip Wing-Lok Ho; Shu-Leong Ho; Wan Yun Ho; G Aaron Hobbs; Mark Hochstrasser; Peter H M Hoet; Daniel Hofius; Paul Hofman; Annika Höhn; Carina I Holmberg; Jose R Hombrebueno; Chang-Won Hong Yi-Ren Hong; Lora V Hooper; Thorsten Hoppe; Rastislav Horos; Yujin Hoshida; I-Lun Hsin; Hsin-Yun Hsu; Bing Hu; Dong Hu; Li-Fang Hu; Ming Chang Hu; Ronggui Hu; Wei Hu; Yu-Chen Hu; Zhuo-Wei Hu; Fang Hua; Jinlian Hua; Yingqi Hua; Chongmin Huan; Canhua Huang; Chuanshu Huang; Chuanxin Huang; Chunling Huang; Haishan Huang; Kun Huang; Michael L H Huang; Rui Huang; Shan Huang; Tianzhi Huang; Xing Huang; Yuxiang Jack Huang; Tobias B Huber; Virginie Hubert; Christian A Hubner; Stephanie M Hughes; William E Hughes; Magali Humbert; Gerhard Hummer; James H Hurley; Sabah Hussain; Salik Hussain; Patrick J Hussey; Martina Hutabarat; Hui-Yun Hwang; Seungmin Hwang; Antonio Ieni; Fumiyo Ikeda; Yusuke Imagawa; Yuzuru Imai; Carol Imbriano; Masaya Imoto; Denise M Inman; Ken Inoki; Juan Iovanna; Renato V Iozzo; Giuseppe Ippolito; Javier E Irazoqui; Pablo Iribarren; Mohd Ishaq; Makoto Ishikawa; Nestor Ishimwe; Ciro Isidoro; Nahed Ismail; Shohreh Issazadeh-Navikas; Eisuke Itakura; Daisuke Ito; Davor Ivankovic; Saška Ivanova; Anand Krishnan V Iyer; José M Izquierdo; Masanori Izumi; Marja Jäättelä; Majid Sakhi Jabir; William T Jackson; Nadia Jacobo-Herrera; Anne-Claire Jacomin; Elise Jacquin; Pooja Jadiya; Hartmut Jaeschke; Chinnaswamy Jagannath; Arjen J Jakobi; Johan Jakobsson; Bassam Janji; Pidder Jansen-Dürr; Patric J Jansson; Jonathan Jantsch; Sławomir Januszewski; Alagie Jassey; Steve Jean; Hélène Jeltsch-David; Pavla Jendelova; Andreas Jenny; Thomas E Jensen; Niels Jessen; Jenna L Jewell; Jing Ji; Lijun Jia; Rui Jia; Liwen Jiang; Qing Jiang; Richeng Jiang; Teng Jiang; Xuejun Jiang; Yu Jiang; Maria Jimenez-Sanchez; Eun-Jung Jin; Fengyan Jin; Hongchuan Jin; Li Jin; Luqi Jin; Meiyan Jin; Si Jin; Eun-Kyeong Jo; Carine Joffre; Terje Johansen; Gail V W Johnson; Simon A Johnston; Eija Jokitalo; Mohit Kumar Jolly; Leo A B Joosten; Joaquin Jordan; Bertrand Joseph; Dianwen Ju; Jeong-Sun Ju; Jingfang Ju; Esmeralda Juárez; Delphine Judith; Gábor Juhász; Youngsoo Jun; Chang Hwa Jung; Sung-Chul Jung; Yong Keun Jung; Heinz Jungbluth; Johannes Jungverdorben; Steffen Just; Kai Kaarniranta; Allen Kaasik; Tomohiro Kabuta; Daniel Kaganovich; Alon Kahana; Renate Kain; Shinjo Kajimura; Maria Kalamvoki; Manjula Kalia; Danuta S Kalinowski; Nina Kaludercic; Ioanna Kalvari; Joanna Kaminska; Vitaliy O Kaminskyy; Hiromitsu Kanamori; Keizo Kanasaki; Chanhee Kang; Rui Kang; Sang Sun Kang; Senthilvelrajan Kaniyappan; Tomotake Kanki; Thirumala-Devi Kanneganti; Anumantha G Kanthasamy; Arthi Kanthasamy; Marc Kantorow; Orsolya Kapuy; Michalis V Karamouzis; Md Razaul Karim; Parimal Karmakar; Rajesh G Katare; Masaru Kato; Stefan H E Kaufmann; Anu Kauppinen; Gur P Kaushal; Susmita Kaushik; Kiyoshi Kawasaki; Kemal Kazan; Po-Yuan Ke; Damien J Keating; Ursula Keber; John H Kehrl; Kate E Keller; Christian W Keller; Jongsook Kim Kemper; Candia M Kenific; Oliver Kepp; Stephanie Kermorgant; Andreas Kern; Robin Ketteler; Tom G Keulers; Boris Khalfin; Hany Khalil; Bilon Khambu; Shahid Y Khan; Vinoth Kumar Megraj Khandelwal; Rekha Khandia; Widuri Kho; Noopur V Khobrekar; Sataree Khuansuwan; Mukhran Khundadze; Samuel A Killackey; Dasol Kim; Deok Ryong Kim; Do-Hyung Kim; Dong-Eun Kim; Eun Young Kim; Eun-Kyoung Kim; Hak-Rim Kim; Hee-Sik Kim; Jeong Hun Kim; Jin Kyung Kim; Jin-Hoi Kim; Joungmok Kim; Ju Hwan Kim; Keun Il Kim; Peter K Kim; Seong-Jun Kim; Scot R Kimball; Adi Kimchi; Alec C Kimmelman; Tomonori Kimura; Matthew A King; Kerri J Kinghorn; Conan G Kinsey; Vladimir Kirkin; Lorrie A Kirshenbaum; Sergey L Kiselev; Shuji Kishi; Katsuhiko Kitamoto; Yasushi Kitaoka; Kaio Kitazato; Richard N Kitsis; Josef T Kittler; Ole Kjaerulff; Peter S Klein; Thomas Klopstock; Jochen Klucken; Helene Knævelsrud; Roland L Knorr; Ben C B Ko; Fred Ko; Jiunn-Liang Ko; Hotaka Kobayashi; Satoru Kobayashi; Ina Koch; Jan C Koch; Ulrich Koenig; Donat Kögel; Young Ho Koh; Masato Koike; Sepp D Kohlwein; Nur M Kocaturk; Masaaki Komatsu; Jeannette König; Toru Kono; Benjamin T Kopp; Tamas Korcsmaros; Gözde Korkmaz; Viktor I Korolchuk; Mónica Suárez Korsnes; Ali Koskela; Janaiah Kota; Yaichiro Kotake; Monica L Kotler; Yanjun Kou; Michael I Koukourakis; Evangelos Koustas; Attila L Kovacs; Tibor Kovács; Daisuke Koya; Tomohiro Kozako; Claudine Kraft; Dimitri Krainc; Helmut Krämer; Anna D Krasnodembskaya; Carole Kretz-Remy; Guido Kroemer; Nicholas T Ktistakis; Kazuyuki Kuchitsu; Sabine Kuenen; Lars Kuerschner; Thomas Kukar; Ajay Kumar; Ashok Kumar; Deepak Kumar; Dhiraj Kumar; Sharad Kumar; Shinji Kume; Caroline Kumsta; Chanakya N Kundu; Mondira Kundu; Ajaikumar B Kunnumakkara; Lukasz Kurgan; Tatiana G Kutateladze; Ozlem Kutlu; SeongAe Kwak; Ho Jeong Kwon; Taeg Kyu Kwon; Yong Tae Kwon; Irene Kyrmizi; Albert La Spada; Patrick Labonté; Sylvain Ladoire; Ilaria Laface; Frank Lafont; Diane C Lagace; Vikramjit Lahiri; Zhibing Lai; Angela S Laird; Aparna Lakkaraju; Trond Lamark; Sheng-Hui Lan; Ane Landajuela; Darius J R Lane; Jon D Lane; Charles H Lang; Carsten Lange; Ülo Langel; Rupert Langer; Pierre Lapaquette; Jocelyn Laporte; Nicholas F LaRusso; Isabel Lastres-Becker; Wilson Chun Yu Lau; Gordon W Laurie; Sergio Lavandero; Betty Yuen Kwan Law; Helen Ka-Wai Law; Rob Layfield; Weidong Le; Herve Le Stunff; Alexandre Y Leary; Jean-Jacques Lebrun; Lionel Y W Leck; Jean-Philippe Leduc-Gaudet; Changwook Lee; Chung-Pei Lee; Da-Hye Lee; Edward B Lee; Erinna F Lee; Gyun Min Lee; He-Jin Lee; Heung Kyu Lee; Jae Man Lee; Jason S Lee; Jin-A Lee; Joo-Yong Lee; Jun Hee Lee; Michael Lee; Min Goo Lee; Min Jae Lee; Myung-Shik Lee; Sang Yoon Lee; Seung-Jae Lee; Stella Y Lee; Sung Bae Lee; Won Hee Lee; Ying-Ray Lee; Yong-Ho Lee; Youngil Lee; Christophe Lefebvre; Renaud Legouis; Yu L Lei; Yuchen Lei; Sergey Leikin; Gerd Leitinger; Leticia Lemus; Shuilong Leng; Olivia Lenoir; Guido Lenz; Heinz Josef Lenz; Paola Lenzi; Yolanda León; Andréia M Leopoldino; Christoph Leschczyk; Stina Leskelä; Elisabeth Letellier; Chi-Ting Leung; Po Sing Leung; Jeremy S Leventhal; Beth Levine; Patrick A Lewis; Klaus Ley; Bin Li; Da-Qiang Li; Jianming Li; Jing Li; Jiong Li; Ke Li; Liwu Li; Mei Li; Min Li; Min Li; Ming Li; Mingchuan Li; Pin-Lan Li; Ming-Qing Li; Qing Li; Sheng Li; Tiangang Li; Wei Li; Wenming Li; Xue Li; Yi-Ping Li; Yuan Li; Zhiqiang Li; Zhiyong Li; Zhiyuan Li; Jiqin Lian; Chengyu Liang; Qiangrong Liang; Weicheng Liang; Yongheng Liang; YongTian Liang; Guanghong Liao; Lujian Liao; Mingzhi Liao; Yung-Feng Liao; Mariangela Librizzi; Pearl P Y Lie; Mary A Lilly; Hyunjung J Lim; Thania R R Lima; Federica Limana; Chao Lin; Chih-Wen Lin; Dar-Shong Lin; Fu-Cheng Lin; Jiandie D Lin; Kurt M Lin; Kwang-Huei Lin; Liang-Tzung Lin; Pei-Hui Lin; Qiong Lin; Shaofeng Lin; Su-Ju Lin; Wenyu Lin; Xueying Lin; Yao-Xin Lin; Yee-Shin Lin; Rafael Linden; Paula Lindner; Shuo-Chien Ling; Paul Lingor; Amelia K Linnemann; Yih-Cherng Liou; Marta M Lipinski; Saška Lipovšek; Vitor A Lira; Natalia Lisiak; Paloma B Liton; Chao Liu; Ching-Hsuan Liu; Chun-Feng Liu; Cui Hua Liu; Fang Liu; Hao Liu; Hsiao-Sheng Liu; Hua-Feng Liu; Huifang Liu; Jia Liu; Jing Liu; Julia Liu; Leyuan Liu; Longhua Liu; Meilian Liu; Qin Liu; Wei Liu; Wende Liu; Xiao-Hong Liu; Xiaodong Liu; Xingguo Liu; Xu Liu; Xuedong Liu; Yanfen Liu; Yang Liu; Yang Liu; Yueyang Liu; Yule Liu; J Andrew Livingston; Gerard Lizard; Jose M Lizcano; Senka Ljubojevic-Holzer; Matilde E LLeonart; David Llobet-Navàs; Alicia Llorente; Chih Hung Lo; Damián Lobato-Márquez; Qi Long; Yun Chau Long; Ben Loos; Julia A Loos; Manuela G López; Guillermo López-Doménech; José Antonio López-Guerrero; Ana T López-Jiménez; Óscar López-Pérez; Israel López-Valero; Magdalena J Lorenowicz; Mar Lorente; Peter Lorincz; Laura Lossi; Sophie Lotersztajn; Penny E Lovat; Jonathan F Lovell; Alenka Lovy; Péter Lőw; Guang Lu; Haocheng Lu; Jia-Hong Lu; Jin-Jian Lu; Mengji Lu; Shuyan Lu; Alessandro Luciani; John M Lucocq; Paula Ludovico; Micah A Luftig; Morten Luhr; Diego Luis-Ravelo; Julian J Lum; Liany Luna-Dulcey; Anders H Lund; Viktor K Lund; Jan D Lünemann; Patrick Lüningschrör; Honglin Luo; Rongcan Luo; Shouqing Luo; Zhi Luo; Claudio Luparello; Bernhard Lüscher; Luan Luu; Alex Lyakhovich; Konstantin G Lyamzaev; Alf Håkon Lystad; Lyubomyr Lytvynchuk; Alvin C Ma; 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Sascha Martens; Alexandre P J Martin; Katie R Martin; Sara Martin; Shaun Martin; Adrián Martín-Segura; Miguel A Martín-Acebes; Inmaculada Martin-Burriel; Marcos Martin-Rincon; Paloma Martin-Sanz; José A Martina; Wim Martinet; Aitor Martinez; Ana Martinez; Jennifer Martinez; Moises Martinez Velazquez; Nuria Martinez-Lopez; Marta Martinez-Vicente; Daniel O Martins; Joilson O Martins; Waleska K Martins; Tania Martins-Marques; Emanuele Marzetti; Shashank Masaldan; Celine Masclaux-Daubresse; Douglas G Mashek; Valentina Massa; Lourdes Massieu; Glenn R Masson; Laura Masuelli; Anatoliy I Masyuk; Tetyana V Masyuk; Paola Matarrese; Ander Matheu; Satoaki Matoba; Sachiko Matsuzaki; Pamela Mattar; Alessandro Matte; Domenico Mattoscio; José L Mauriz; Mario Mauthe; Caroline Mauvezin; Emanual Maverakis; Paola Maycotte; Johanna Mayer; Gianluigi Mazzoccoli; Cristina Mazzoni; Joseph R Mazzulli; Nami McCarty; Christine McDonald; Mitchell R McGill; Sharon L McKenna; BethAnn McLaughlin; Fionn McLoughlin; Mark A McNiven; Thomas G McWilliams; Fatima Mechta-Grigoriou; Tania Catarina Medeiros; Diego L Medina; Lynn A Megeney; Klara Megyeri; Maryam Mehrpour; Jawahar L Mehta; Alfred J Meijer; Annemarie H Meijer; Jakob Mejlvang; Alicia Meléndez; Annette Melk; Gonen Memisoglu; Alexandrina F Mendes; Delong Meng; Fei Meng; Tian Meng; Rubem Menna-Barreto; Manoj B Menon; Carol Mercer; Anne E Mercier; Jean-Louis Mergny; Adalberto Merighi; Seth D Merkley; Giuseppe Merla; Volker Meske; Ana Cecilia Mestre; Shree Padma Metur; Christian Meyer; Hemmo Meyer; Wenyi Mi; Jeanne Mialet-Perez; Junying Miao; Lucia Micale; Yasuo Miki; Enrico Milan; Małgorzata Milczarek; Dana L Miller; Samuel I Miller; Silke Miller; Steven W Millward; Ira Milosevic; Elena A Minina; Hamed Mirzaei; Hamid Reza Mirzaei; Mehdi Mirzaei; Amit Mishra; Nandita Mishra; Paras Kumar Mishra; Maja Misirkic Marjanovic; Roberta Misasi; Amit Misra; Gabriella Misso; Claire Mitchell; Geraldine Mitou; Tetsuji Miura; Shigeki Miyamoto; Makoto Miyazaki; Mitsunori Miyazaki; 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Per Nilsson; Shunbin Ning; Rituraj Niranjan; Hiroshi Nishimune; Mireia Niso-Santano; Ralph A Nixon; Annalisa Nobili; Clevio Nobrega; Takeshi Noda; Uxía Nogueira-Recalde; Trevor M Nolan; Ivan Nombela; Ivana Novak; Beatriz Novoa; Takashi Nozawa; Nobuyuki Nukina; Carmen Nussbaum-Krammer; Jesper Nylandsted; Tracey R O'Donovan; Seónadh M O'Leary; Eyleen J O'Rourke; Mary P O'Sullivan; Timothy E O'Sullivan; Salvatore Oddo; Ina Oehme; Michinaga Ogawa; Eric Ogier-Denis; Margret H Ogmundsdottir; Besim Ogretmen; Goo Taeg Oh; Seon-Hee Oh; Young J Oh; Takashi Ohama; Yohei Ohashi; Masaki Ohmuraya; Vasileios Oikonomou; Rani Ojha; Koji Okamoto; Hitoshi Okazawa; Masahide Oku; Sara Oliván; Jorge M A Oliveira; Michael Ollmann; James A Olzmann; Shakib Omari; M Bishr Omary; Gizem Önal; Martin Ondrej; Sang-Bing Ong; Sang-Ging Ong; Anna Onnis; Juan A Orellana; Sara Orellana-Muñoz; Maria Del Mar Ortega-Villaizan; Xilma R Ortiz-Gonzalez; Elena Ortona; Heinz D Osiewacz; Abdel-Hamid K Osman; Rosario Osta; Marisa S Otegui; 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Alberto Sanz; Pascual Sanz; Shweta Saran; Marco Sardiello; Timothy J Sargeant; Apurva Sarin; Chinmoy Sarkar; Sovan Sarkar; Maria-Rosa Sarrias; Surajit Sarkar; Dipanka Tanu Sarmah; Jaakko Sarparanta; Aishwarya Sathyanarayan; Ranganayaki Sathyanarayanan; K Matthew Scaglione; Francesca Scatozza; Liliana Schaefer; Zachary T Schafer; Ulrich E Schaible; Anthony H V Schapira; Michael Scharl; Hermann M Schatzl; Catherine H Schein; Wiep Scheper; David Scheuring; Maria Vittoria Schiaffino; Monica Schiappacassi; Rainer Schindl; Uwe Schlattner; Oliver Schmidt; Roland Schmitt; Stephen D Schmidt; Ingo Schmitz; Eran Schmukler; Anja Schneider; Bianca E Schneider; Romana Schober; Alejandra C Schoijet; Micah B Schott; Michael Schramm; Bernd Schröder; Kai Schuh; Christoph Schüller; Ryan J Schulze; Lea Schürmanns; Jens C Schwamborn; Melanie Schwarten; Filippo Scialo; Sebastiano Sciarretta; Melanie J Scott; Kathleen W Scotto; A Ivana Scovassi; Andrea Scrima; Aurora Scrivo; David Sebastian; Salwa Sebti; Simon Sedej; Laura Segatori; Nava Segev; Per O Seglen; Iban Seiliez; Ekihiro Seki; Scott B Selleck; Frank W Sellke; Joshua T Selsby; Michael Sendtner; Serif Senturk; Elena Seranova; Consolato Sergi; Ruth Serra-Moreno; Hiromi Sesaki; Carmine Settembre; Subba Rao Gangi Setty; Gianluca Sgarbi; Ou Sha; John J Shacka; Javeed A Shah; Dantong Shang; Changshun Shao; Feng Shao; Soroush Sharbati; Lisa M Sharkey; Dipali Sharma; Gaurav Sharma; Kulbhushan Sharma; Pawan Sharma; Surendra Sharma; Han-Ming Shen; Hongtao Shen; Jiangang Shen; Ming Shen; Weili Shen; Zheni Shen; Rui Sheng; Zhi Sheng; Zu-Hang Sheng; Jianjian Shi; Xiaobing Shi; Ying-Hong Shi; Kahori Shiba-Fukushima; Jeng-Jer Shieh; Yohta Shimada; Shigeomi Shimizu; Makoto Shimozawa; Takahiro Shintani; Christopher J Shoemaker; Shahla Shojaei; Ikuo Shoji; Bhupendra V Shravage; Viji Shridhar; Chih-Wen Shu; Hong-Bing Shu; Ke Shui; Arvind K Shukla; Timothy E Shutt; Valentina Sica; Aleem Siddiqui; Amanda Sierra; Virginia Sierra-Torre; Santiago Signorelli; Payel Sil; Bruno J de Andrade Silva; Johnatas D Silva; Eduardo Silva-Pavez; Sandrine Silvente-Poirot; Rachel E Simmonds; Anna Katharina Simon; Hans-Uwe Simon; Matias Simons; Anurag Singh; Lalit P Singh; Rajat Singh; Shivendra V Singh; Shrawan K Singh; Sudha B Singh; Sunaina Singh; Surinder Pal Singh; Debasish Sinha; Rohit Anthony Sinha; Sangita Sinha; Agnieszka Sirko; Kapil Sirohi; Efthimios L Sivridis; Panagiotis Skendros; Aleksandra Skirycz; Iva Slaninová; Soraya S Smaili; Andrei Smertenko; Matthew D Smith; Stefaan J Soenen; Eun Jung Sohn; Sophia P M Sok; Giancarlo Solaini; Thierry Soldati; Scott A Soleimanpour; Rosa M Soler; Alexei Solovchenko; Jason A Somarelli; Avinash Sonawane; Fuyong Song; Hyun Kyu Song; Ju-Xian Song; Kunhua Song; Zhiyin Song; Leandro R Soria; Maurizio Sorice; Alexander A Soukas; Sandra-Fausia Soukup; Diana Sousa; Nadia Sousa; Paul A Spagnuolo; Stephen A Spector; M M Srinivas Bharath; Daret St Clair; Venturina Stagni; Leopoldo Staiano; Clint A Stalnecker; Metodi V Stankov; Peter B Stathopulos; Katja Stefan; Sven Marcel Stefan; Leonidas Stefanis; Joan S Steffan; Alexander Steinkasserer; Harald Stenmark; Jared Sterneckert; Craig Stevens; Veronika Stoka; Stephan Storch; Björn Stork; Flavie Strappazzon; Anne Marie Strohecker; Dwayne G Stupack; Huanxing Su; Ling-Yan Su; Longxiang Su; Ana M Suarez-Fontes; Carlos S Subauste; Selvakumar Subbian; Paula V Subirada; Ganapasam Sudhandiran; Carolyn M Sue; Xinbing Sui; Corey Summers; Guangchao Sun; Jun Sun; Kang Sun; Meng-Xiang Sun; Qiming Sun; Yi Sun; Zhongjie Sun; Karen K S Sunahara; Eva Sundberg; Katalin Susztak; Peter Sutovsky; Hidekazu Suzuki; Gary Sweeney; J David Symons; Stephen Cho Wing Sze; Nathaniel J Szewczyk; Anna Tabęcka-Łonczynska; Claudio Tabolacci; Frank Tacke; Heinrich Taegtmeyer; Marco Tafani; Mitsuo Tagaya; Haoran Tai; Stephen W G Tait; Yoshinori Takahashi; Szabolcs Takats; Priti Talwar; Chit Tam; Shing Yau Tam; Davide Tampellini; Atsushi Tamura; Chong Teik Tan; Eng-King Tan; Ya-Qin Tan; Masaki Tanaka; Motomasa Tanaka; Daolin Tang; Jingfeng Tang; Tie-Shan Tang; Isei Tanida; Zhipeng Tao; Mohammed Taouis; Lars Tatenhorst; Nektarios Tavernarakis; Allen Taylor; Gregory A Taylor; Joan M Taylor; Elena Tchetina; Andrew R Tee; Irmgard Tegeder; David Teis; Natercia Teixeira; Fatima Teixeira-Clerc; Kumsal A Tekirdag; Tewin Tencomnao; Sandra Tenreiro; Alexei V Tepikin; Pilar S Testillano; Gianluca Tettamanti; Pierre-Louis Tharaux; Kathrin Thedieck; Arvind A Thekkinghat; Stefano Thellung; Josephine W Thinwa; V P Thirumalaikumar; Sufi Mary Thomas; Paul G Thomes; Andrew Thorburn; Lipi Thukral; Thomas Thum; Michael Thumm; Ling Tian; Ales Tichy; Andreas Till; Vincent Timmerman; Vladimir I Titorenko; Sokol V Todi; Krassimira Todorova; Janne M Toivonen; Luana Tomaipitinca; Dhanendra Tomar; Cristina Tomas-Zapico; Sergej Tomić; Benjamin Chun-Kit Tong; Chao Tong; Xin Tong; Sharon A Tooze; Maria L Torgersen; Satoru Torii; Liliana Torres-López; Alicia Torriglia; Christina G Towers; Roberto Towns; Shinya Toyokuni; Vladimir Trajkovic; Donatella Tramontano; Quynh-Giao Tran; Leonardo H Travassos; Charles B Trelford; Shirley Tremel; Ioannis P Trougakos; Betty P Tsao; Mario P Tschan; Hung-Fat Tse; Tak Fu Tse; Hitoshi Tsugawa; Andrey S Tsvetkov; David A Tumbarello; Yasin Tumtas; María J Tuñón; Sandra Turcotte; Boris Turk; Vito Turk; Bradley J Turner; Richard I Tuxworth; Jessica K Tyler; Elena V Tyutereva; Yasuo Uchiyama; Aslihan Ugun-Klusek; Holm H Uhlig; Marzena Ułamek-Kozioł; Ilya V Ulasov; Midori Umekawa; Christian Ungermann; Rei Unno; Sylvie Urbe; Elisabet Uribe-Carretero; Suayib Üstün; Vladimir N Uversky; Thomas Vaccari; Maria I Vaccaro; Björn F Vahsen; Helin Vakifahmetoglu-Norberg; Rut Valdor; Maria J Valente; Ayelén Valko; Richard B Vallee; Angela M Valverde; Greet Van den Berghe; Stijn van der Veen; Luc Van Kaer; Jorg van Loosdregt; Sjoerd J L van Wijk; Wim Vandenberghe; Ilse Vanhorebeek; Marcos A Vannier-Santos; Nicola Vannini; M Cristina Vanrell; Chiara Vantaggiato; Gabriele Varano; Isabel Varela-Nieto; Máté Varga; M Helena Vasconcelos; Somya Vats; Demetrios G Vavvas; Ignacio Vega-Naredo; Silvia Vega-Rubin-de-Celis; Guillermo Velasco; Ariadna P Velázquez; Tibor Vellai; Edo Vellenga; Francesca Velotti; Mireille Verdier; Panayotis Verginis; Isabelle Vergne; Paul Verkade; Manish Verma; Patrik Verstreken; Tim Vervliet; Jörg Vervoorts; Alexandre T Vessoni; Victor M Victor; Michel Vidal; Chiara Vidoni; Otilia V Vieira; Richard D Vierstra; Sonia Viganó; Helena Vihinen; Vinoy Vijayan; Miquel Vila; Marçal Vilar; José M Villalba; Antonio Villalobo; Beatriz Villarejo-Zori; Francesc Villarroya; Joan Villarroya; Olivier Vincent; Cecile Vindis; Christophe Viret; Maria Teresa Viscomi; Dora Visnjic; Ilio Vitale; David J Vocadlo; Olga V Voitsekhovskaja; Cinzia Volonté; Mattia Volta; Marta Vomero; Clarissa Von Haefen; Marc A Vooijs; Wolfgang Voos; Ljubica Vucicevic; Richard Wade-Martins; Satoshi Waguri; Kenrick A Waite; Shuji Wakatsuki; David W Walker; Mark J Walker; Simon A Walker; Jochen Walter; Francisco G Wandosell; Bo Wang; Chao-Yung Wang; Chen Wang; Chenran Wang; Chenwei Wang; Cun-Yu Wang; Dong Wang; Fangyang Wang; Feng Wang; Fengming Wang; Guansong Wang; Han Wang; Hao Wang; Hexiang Wang; Hong-Gang Wang; Jianrong Wang; Jigang Wang; Jiou Wang; Jundong Wang; Kui Wang; Lianrong Wang; Liming Wang; Maggie Haitian Wang; Meiqing Wang; Nanbu Wang; Pengwei Wang; Peipei Wang; Ping Wang; Ping Wang; Qing Jun Wang; Qing Wang; Qing Kenneth Wang; Qiong A Wang; Wen-Tao Wang; Wuyang Wang; Xinnan Wang; Xuejun Wang; Yan Wang; Yanchang Wang; Yanzhuang Wang; Yen-Yun Wang; Yihua Wang; Yipeng Wang; Yu Wang; Yuqi Wang; Zhe Wang; Zhenyu Wang; Zhouguang Wang; Gary Warnes; Verena Warnsmann; Hirotaka Watada; Eizo Watanabe; Maxinne Watchon; Anna Wawrzyńska; Timothy E Weaver; Grzegorz Wegrzyn; Ann M Wehman; Huafeng Wei; Lei Wei; Taotao Wei; Yongjie Wei; Oliver H Weiergräber; Conrad C Weihl; Günther Weindl; Ralf Weiskirchen; Alan Wells; Runxia H Wen; Xin Wen; Antonia Werner; Beatrice Weykopf; Sally P Wheatley; J Lindsay Whitton; Alexander J Whitworth; Katarzyna Wiktorska; Manon E Wildenberg; Tom Wileman; Simon Wilkinson; Dieter Willbold; Brett Williams; Robin S B Williams; Roger L Williams; Peter R Williamson; Richard A Wilson; Beate Winner; Nathaniel J Winsor; Steven S Witkin; Harald Wodrich; Ute Woehlbier; Thomas Wollert; Esther Wong; Jack Ho Wong; Richard W Wong; Vincent Kam Wai Wong; W Wei-Lynn Wong; An-Guo Wu; Chengbiao Wu; Jian Wu; Junfang Wu; Kenneth K Wu; Min Wu; Shan-Ying Wu; Shengzhou Wu; Shu-Yan Wu; Shufang Wu; William K K Wu; Xiaohong Wu; Xiaoqing Wu; Yao-Wen Wu; Yihua Wu; Ramnik J Xavier; Hongguang Xia; Lixin Xia; Zhengyuan Xia; Ge Xiang; Jin Xiang; Mingliang Xiang; Wei Xiang; Bin Xiao; Guozhi Xiao; Hengyi Xiao; Hong-Tao Xiao; Jian Xiao; Lan Xiao; Shi Xiao; Yin Xiao; Baoming Xie; Chuan-Ming Xie; Min Xie; Yuxiang Xie; Zhiping Xie; Zhonglin Xie; Maria Xilouri; Congfeng Xu; En Xu; Haoxing Xu; Jing Xu; JinRong Xu; Liang Xu; Wen Wen Xu; Xiulong Xu; Yu Xue; Sokhna M S Yakhine-Diop; Masamitsu Yamaguchi; Osamu Yamaguchi; Ai Yamamoto; Shunhei Yamashina; Shengmin Yan; Shian-Jang Yan; Zhen Yan; Yasuo Yanagi; Chuanbin Yang; Dun-Sheng Yang; Huan Yang; Huang-Tian Yang; Hui Yang; Jin-Ming Yang; Jing Yang; Jingyu Yang; Ling Yang; Liu Yang; Ming Yang; Pei-Ming Yang; Qian Yang; Seungwon Yang; Shu Yang; Shun-Fa Yang; Wannian Yang; Wei Yuan Yang; Xiaoyong Yang; Xuesong Yang; Yi Yang; Ying Yang; Honghong Yao; Shenggen Yao; Xiaoqiang Yao; Yong-Gang Yao; Yong-Ming Yao; Takahiro Yasui; Meysam Yazdankhah; Paul M Yen; Cong Yi; Xiao-Ming Yin; Yanhai Yin; Zhangyuan Yin; Ziyi Yin; Meidan Ying; Zheng Ying; Calvin K Yip; Stephanie Pei Tung Yiu; Young H Yoo; Kiyotsugu Yoshida; Saori R Yoshii; Tamotsu Yoshimori; Bahman Yousefi; Boxuan Yu; Haiyang Yu; Jun Yu; Jun Yu; Li Yu; Ming-Lung Yu; Seong-Woon Yu; Victor C Yu; W Haung Yu; Zhengping Yu; Zhou Yu; Junying Yuan; Ling-Qing Yuan; Shilin Yuan; Shyng-Shiou F Yuan; Yanggang Yuan; Zengqiang Yuan; Jianbo Yue; Zhenyu Yue; Jeanho Yun; Raymond L Yung; David N Zacks; Gabriele Zaffagnini; Vanessa O Zambelli; Isabella Zanella; Qun S Zang; Sara Zanivan; Silvia Zappavigna; Pilar Zaragoza; Konstantinos S Zarbalis; Amir Zarebkohan; Amira Zarrouk; Scott O Zeitlin; Jialiu Zeng; Ju-Deng Zeng; Eva Žerovnik; Lixuan Zhan; Bin Zhang; Donna D Zhang; Hanlin Zhang; Hong Zhang; Hong Zhang; Honghe Zhang; Huafeng Zhang; Huaye Zhang; Hui Zhang; Hui-Ling Zhang; Jianbin Zhang; Jianhua Zhang; Jing-Pu Zhang; Kalin Y B Zhang; Leshuai W Zhang; Lin Zhang; Lisheng Zhang; Lu Zhang; Luoying Zhang; Menghuan Zhang; Peng Zhang; Sheng Zhang; Wei Zhang; Xiangnan Zhang; Xiao-Wei Zhang; Xiaolei Zhang; Xiaoyan Zhang; Xin Zhang; Xinxin Zhang; Xu Dong Zhang; Yang Zhang; Yanjin Zhang; Yi Zhang; Ying-Dong Zhang; Yingmei Zhang; Yuan-Yuan Zhang; Yuchen Zhang; Zhe Zhang; Zhengguang Zhang; Zhibing Zhang; Zhihai Zhang; Zhiyong Zhang; Zili Zhang; Haobin Zhao; Lei Zhao; Shuang Zhao; Tongbiao Zhao; Xiao-Fan Zhao; Ying Zhao; Yongchao Zhao; Yongliang Zhao; Yuting Zhao; Guoping Zheng; Kai Zheng; Ling Zheng; Shizhong Zheng; Xi-Long Zheng; Yi Zheng; Zu-Guo Zheng; Boris Zhivotovsky; Qing Zhong; Ao Zhou; Ben Zhou; Cefan Zhou; Gang Zhou; Hao Zhou; Hong Zhou; Hongbo Zhou; Jie Zhou; Jing Zhou; Jing Zhou; Jiyong Zhou; Kailiang Zhou; Rongjia Zhou; Xu-Jie Zhou; Yanshuang Zhou; Yinghong Zhou; Yubin Zhou; Zheng-Yu Zhou; Zhou Zhou; Binglin Zhu; Changlian Zhu; Guo-Qing Zhu; Haining Zhu; Hongxin Zhu; Hua Zhu; Wei-Guo Zhu; Yanping Zhu; Yushan Zhu; Haixia Zhuang; Xiaohong Zhuang; Katarzyna Zientara-Rytter; Christine M Zimmermann; Elena Ziviani; Teresa Zoladek; Wei-Xing Zong; Dmitry B Zorov; Antonio Zorzano; Weiping Zou; Zhen Zou; Zhengzhi Zou; Steven Zuryn; Werner Zwerschke; Beate Brand-Saberi; X Charlie Dong; Chandra Shekar Kenchappa; Zuguo Li; Yong Lin; Shigeru Oshima; Yueguang Rong; Judith C Sluimer; Christina L Stallings; Chun-Kit Tong
Journal:  Autophagy       Date:  2021-02-08       Impact factor: 13.391

7.  Mitochondrial alterations accompanied by oxidative stress conditions in skin fibroblasts of Huntington's disease patients.

Authors:  Paulina Jędrak; Paweł Mozolewski; Grzegorz Węgrzyn; Mariusz R Więckowski
Journal:  Metab Brain Dis       Date:  2018-08-17       Impact factor: 3.584

8.  Genistein induces degradation of mutant huntingtin in fibroblasts from Huntington's disease patients.

Authors:  Karolina Pierzynowska; Lidia Gaffke; Zuzanna Cyske; Grzegorz Węgrzyn
Journal:  Metab Brain Dis       Date:  2019-03-09       Impact factor: 3.584

9.  Combining data integration and molecular dynamics for target identification in α-Synuclein-aggregating neurodegenerative diseases: Structural insights on Synaptojanin-1 (Synj1).

Authors:  Kirsten Jenkins; Teodora Mateeva; István Szabó; Andre Melnik; Paola Picotti; Attila Csikász-Nagy; Edina Rosta
Journal:  Comput Struct Biotechnol J       Date:  2020-04-22       Impact factor: 7.271

Review 10.  mTOR: A Cellular Regulator Interface in Health and Disease.

Authors:  Fahd Boutouja; Christian M Stiehm; Harald W Platta
Journal:  Cells       Date:  2019-01-02       Impact factor: 6.600

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