Cancers illustrating resistance towards apoptosis is one of the main factors causing clinical failure of conventional chemotherapy. Innovative therapeutic methods which can overcome the non-apoptotic phenotype are needed. The AMP-activated protein kinase (AMPK) is the central regulator of cellular energy homeostasis, metabolism, and autophagy. Our previous study showed that the identified natural AMPK activator is able to overcome apoptosis-resistant cancer via autophagic cell death. Therefore, AMPK is an ideal pharmaceutical target for chemoresistant cancers. Here, we unravelled that the bisbenzylisoquinoline alkaloid thalidezine is a novel direct AMPK activator by using biolayer interferometry analysis and AMPK kinase assays. The quantification of autophagic EGFP-LC3 puncta demonstrated that thalidezine increased autophagic flux in HeLa cancer cells. In addition, metabolic stress assay confirmed that thalidezine altered the energy status of our cellular model. Remarkably, thalidezine-induced autophagic cell death in HeLa or apoptosis-resistant DLD-1 BAX-BAK DKO cancer cells was abolished by addition of autophagy inhibitor (3-MA) and AMPK inhibitor (compound C). The mechanistic role of autophagic cell death in resistant cancer cells was further supported through the genetic removal of autophagic gene7 (Atg7). Overall, thalidezine is a novel AMPK activator which has great potential to be further developed into a safe and effective intervention for apoptosis- or multidrug-resistant cancers.
Cancers illustrating resistance towards apoptosis is one of the main factors causing clinical failure of conventional chemotherapy. Innovative therapeutic methods which can overcome the non-apoptotic phenotype are needed. The AMP-activated protein kinase (AMPK) is the central regulator of cellular energy homeostasis, metabolism, and autophagy. Our previous study showed that the identified natural AMPK activator is able to overcome apoptosis-resistant cancer via autophagic cell death. Therefore, AMPK is an ideal pharmaceutical target for chemoresistant cancers. Here, we unravelled that the bisbenzylisoquinoline alkaloidthalidezine is a novel direct AMPK activator by using biolayer interferometry analysis and AMPK kinase assays. The quantification of autophagic EGFP-LC3 puncta demonstrated that thalidezine increased autophagic flux in HeLa cancer cells. In addition, metabolic stress assay confirmed that thalidezine altered the energy status of our cellular model. Remarkably, thalidezine-induced autophagic cell death in HeLa or apoptosis-resistant DLD-1 BAX-BAK DKO cancer cells was abolished by addition of autophagy inhibitor (3-MA) and AMPK inhibitor (compound C). The mechanistic role of autophagic cell death in resistant cancer cells was further supported through the genetic removal of autophagic gene7 (Atg7). Overall, thalidezine is a novel AMPK activator which has great potential to be further developed into a safe and effective intervention for apoptosis- or multidrug-resistant cancers.
The AMP-activated protein kinase (AMPK), a serine/threonine kinase, is a heterotrimeric complex containing one catalytic α subunit and regulatory β and γ subunits. As a major sensor of cellular energy homeostasis, AMPK is sensitive to intracellular ATP levels. AMP or ADP can directly bind to the regulatory γ subunits of AMPK, leading to a conformational change that promotes its activation [1]. Full AMPK activation requires specific phosphorylation of the α subunit at Thr172 by upstream kinases [2, 3]. Once activated, AMPK restores cellular energy levels by promoting catabolic and inhibiting anabolic processes. AMPK directly phosphorylates a number of downstream targets including ACC, ULK (protein kinases that initiate autophagy), and mTORC1 (mammalian target of rapamycin complex 1), which act as mediator/effectors to metabolism, cell growth, and autophagy [1, 4–6]. Autophagy (‘self-eating') is highly regulated by the autophagic genes (Atg) in eukaryotic cells. The process engulfs regions of cytoplasm, protein aggregates, and damaged organelles into double-membrane autophagosomes, which fuse with lysosomes for further degradation and cellular recycling [5-7]. Thus far, more than 37 Atgs have been discovered, for example, Atg1, Atg6, and Atg12, which are responsible for the proper functioning of the autophagic machinery [8]. Amongst the different Atg, Atg7 is a unique E1 enzyme that facilitates the membrane recruitment of autophagic proteins (ATG) critical to the autophagosome formation [8]. Autophagy may exert a multifactorial influence on the initiation and progression of cancer, as well as on the effectiveness of the associated therapeutic interventions. In apoptosis-resistant cancer cells, autophagy may facilitate chemotherapeutic or radiation-induced cytotoxicity through autophagy-associated cell-death pathways [9-12].The role of AMPK as a possible metabolic tumour suppressor and a target for cancer prevention and treatment has received increasing interest [13-15]. In part, due to the epidemiological studies of metformin, the most widely prescribed type 2 diabetes drug, has been shown to activate AMPK, and reduce the incidence of various cancer models [16]. Recently, several AMPK activators including 5-aminoimidazole-4-carboxamide-1-b-d-ribofuranoside (AICAR), glycolysis inhibitor (2-DG), Abbott A769662 or mitochondrial inhibitors (biguanides or thiazolidinediones) [17] have been developed. Natural compounds such as resveratrol, a polyphenol, can activate AMPK and inhibit the mitochondrial ATPase, which protect against metabolic disease [18].Owing to the low toxicity and effectiveness in nature, natural products have been studied and used worldwide as potential chemopreventive agents. Chinese herbal medicines (CHM) provide great potential to isolate new drugs for clinical applications [19]. For example, Thalidezine is one of the alkaloids isolated and identified from Thalictrum glandulosissimum in 1967 [20]. The medicinal plant is an ancient perennial herb of China with a history of folkloric use in the therapy of acute infections, acute enteritis and dysentery, conjunctivitis, pyogenic dermatitis, and acute laryngopharyngitis [21, 22]. One of the main components of T. glandulosissimum, hernandezine, was found to possess anti-cancer properties in both mice and in vitro models. Thalidezine and isothalidezine isolated from this plant also possessed inhibitory effects on mouseleukemiaL1210 cells [23]. However, detail regarding the functions or mechanisms of thalidezine are still elusive.In our current study, we have identified a novel AMPK activator, thalidezine, isolated from the T. fendleri [20], which was able to induce autophagic cell death in a panel of apoptosis-resistant cells, via the AMPK-mTOR and Atg 7 dependent mechanism.
RESULTS
Thalidezine directly binds and activates AMPK
AMPK has attracted widespread interest as a potential therapeutic target for cancer. A number of direct AMPK activators have been reported [17, 24]. Consistent with our previous works, we proposed a new class of compound exhibiting direct activation of AMPK, the bisbenzylisoquinoline alkaloid compounds such as liensinine, isoliensinine, dauricine, cepharanthine and hernandezine [25, 26]. Here, thalidezine (Figure 1A), a structural isomer of hernandezine C39H44N2O7 (Supplementary Figure 1A), shows different structural conformation (Supplementary Figure 1B), having six different possible conformers compare with three for hernandezine [27]. First, to investigate if thalidezine directly binds and activates the widely expressed α1β1γ1 isoform of mammalianAMPK, we determined the in vitro binding kinetics by bio-layer interferometry (BLI) and the AMPK activity. Thalidezine was found to bind directly to AMPK protein, the affinity equilibrium constant revealed a medium-high affinity with K value of 189 μM (Figure 1B). Thalidezine showed higher affinity binding compare to hernandenzine (Supplementary Figure 1C). The interaction between thalidezine and AMPK promoted its kinase activation in a dose-response manner (Figure 1C). The effectiveness of thalidezine was then determined by Western blot for AMPK phosphorylation in HeLa cells. Immunoblot results indicated an increase in AMPK phosphorylation accompanied by a reduction in phosphorylated p70S6K, a downstream target of mTOR, in response to thalidezine after eight hours of treatment (Figure 1D). These findings clearly indicate that thalidezine directly binds to and activates AMPK.
Figure 1
Thalidezine binds and activates AMPK in vitro
(A) Chemical structure of thalidezine. (B) Kinetic analysis of the interaction between AMPK and thalidezine by BLI. The Ni-NTA biosensor tips coated with HIS-tagged AMPK were dipped in increasing concentrations of thalidezine (12.5, 25, 50, and 100 μM) to measure binding affinity of thalidezine to AMPK (K 1.17±0.231×104 Ms−1) and subsequently moved to wells containing buffer to measure dissociation rates (K 2.22±0.407 s−1). The affinity constant was calculated as the ratio of the K to the K (K 189±50.9 μM). (C) Thalidezine directly activates AMPK kinase. AMPK protein was incubated without (control) or with increasing concentrations of thalidezine (Tha) (1, 2.5, 5, and 10 μM) or AMP (10 μM, positive control) for 20 min. *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001. (D) Thalidezine activates the AMPK-mTOR signaling pathway. HeLa cells were treated with 10 μM of thalidezine for 0-24 h, rapamycin (Rapa, 200 nM) was used as the positive control. Immunoblots indicated p-AMPK, total AMPK, p-p70S6K, total p70S6K, and β-actin detection. Uncropped blots images were shown in Supplementary Figure 4A. Data were representative of three to five independent experiments.
Thalidezine binds and activates AMPK in vitro
(A) Chemical structure of thalidezine. (B) Kinetic analysis of the interaction between AMPK and thalidezine by BLI. The Ni-NTA biosensor tips coated with HIS-tagged AMPK were dipped in increasing concentrations of thalidezine (12.5, 25, 50, and 100 μM) to measure binding affinity of thalidezine to AMPK (K 1.17±0.231×104 Ms−1) and subsequently moved to wells containing buffer to measure dissociation rates (K 2.22±0.407 s−1). The affinity constant was calculated as the ratio of the K to the K (K 189±50.9 μM). (C) Thalidezine directly activates AMPK kinase. AMPK protein was incubated without (control) or with increasing concentrations of thalidezine (Tha) (1, 2.5, 5, and 10 μM) or AMP (10 μM, positive control) for 20 min. *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001. (D) Thalidezine activates the AMPK-mTOR signaling pathway. HeLa cells were treated with 10 μM of thalidezine for 0-24 h, rapamycin (Rapa, 200 nM) was used as the positive control. Immunoblots indicated p-AMPK, total AMPK, p-p70S6K, total p70S6K, and β-actin detection. Uncropped blots images were shown in Supplementary Figure 4A. Data were representative of three to five independent experiments.
Thalidezine shows specific cytotoxic effect towards a panel of cancer cells
To evaluate the potential anti-cancer effect of thalidezine, a panel of cancer cells from different origins, including HeLa, A549, MCF-7, PC3, HepG2, Hep3B, H1299, and H1975 were utilized in the cytotoxicity test, whereas the LO2 normal human hepatocytes cell line was used as normal control cells. The mean IC50 values of thalidezine indicated a potent cytotoxic effect towards all these cancer cells, especially on A549 lung cancer (7.47 μM), H1299 lung cancer (7.47 μM), Hep3B liver cancer (8.07 μM), MCF-7 breast cancer (9.9 μM), and HepG2 liver cancer (10.6 μM). Interestingly, thalidezine exhibited relatively low cytotoxicity towards LO2 normal liver hepatocytes (mean IC50, 88.4 μM) suggesting that thalidezine is an effective anticancer agent with considerably less toxicity towards normal cells (Figure 2A).
Figure 2
Thalidezine shows specific cancer cells cytotoxicity and induces autophagy
(A) Thalidezine exhibits specific cell cytotoxicity toward a panel of cancer and normal cells. Mean IC50 values were shown in the table. (B) Thalidezine induces EGFP-LC3 puncta formation in HeLa, MCF-7, PC3, Hep3B, A549, H1299 cancer cells and LO2 normal hepatocytes (lower panel). Cells were treated with DMSO or 10 μM of thalidezine for 24 h. Percentage of cells with EGFP-LC3 puncta formation quantification was indicated as upper panel. (C & D) Autophagic inhibitor 3-MA and AMPK inhibitor CC respectively abolish thalidezine-mediated autophagy. HeLa cells transiently transfected with EGFP-LC3 plasmid were treated with DMSO or 10 μM thalidezine (Tha) with or without 3-MA (5 mM), and with or without CC (5 μM) for 4h. Bar charts quantification of cells with increased EGFP-LC3 puncta formation were shown. Representative fluorescence microscopy images are shown in Supplementary Figure 2B & 2C. ***, P ≤ 0.001. Data were mean value ± S.D of three independent experiments.
Thalidezine shows specific cancer cells cytotoxicity and induces autophagy
(A) Thalidezine exhibits specific cell cytotoxicity toward a panel of cancer and normal cells. Mean IC50 values were shown in the table. (B) Thalidezine induces EGFP-LC3 puncta formation in HeLa, MCF-7, PC3, Hep3B, A549, H1299 cancer cells and LO2 normal hepatocytes (lower panel). Cells were treated with DMSO or 10 μM of thalidezine for 24 h. Percentage of cells with EGFP-LC3 puncta formation quantification was indicated as upper panel. (C & D) Autophagic inhibitor 3-MA and AMPK inhibitor CC respectively abolish thalidezine-mediated autophagy. HeLa cells transiently transfected with EGFP-LC3 plasmid were treated with DMSO or 10 μM thalidezine (Tha) with or without 3-MA (5 mM), and with or without CC (5 μM) for 4h. Bar charts quantification of cells with increased EGFP-LC3 puncta formation were shown. Representative fluorescence microscopy images are shown in Supplementary Figure 2B & 2C. ***, P ≤ 0.001. Data were mean value ± S.D of three independent experiments.
Thalidezine induces autophagy activity via AMPK activation in cancer cells
Although a number of natural alkaloid compounds have been identified as autophagy inducers for treatment of cancers [25, 28], none of them were validated with direct protein targets. To investigate whether thalidezine exhibits an autophagy effect on cells through AMPK activation, we utilized various types of cancer cells from different origins including HeLa, MCF-7, PC-3, Hep3B, A549, and H1299, as well as LO2 normal human hepatocytes for detection of autophagic EGFP-LC3 puncta. As shown in Figure 2B, 10 μM of thalidezine could induce EGFP-LC3 puncta formation among these cancer and normal cells, indicating that the autophagic effect of thalidezine is not cell-type specific. Interestingly, by quantitation of cells with EGFP-LC3 puncta formation, thalidezine demonstrated various level of autophagic potency among these cancer cells, whereas HeLa cancer cells were the most susceptible ones in response to thalidezine-mediated autophagy (Figure 2B). Therefore HeLa cells were selected as a model for autophagy studies. In addition, the formation of LC3-II puncta was verified by immunofluorescence staining against endogenous LC3-II (Supplementary Figure 2A). Alternatively, thalidezine-induced autophagic effect was further validated with 3-methyladenine, which is the PI3K inhibitor commonly used to suppress autophagy [29-31]. The addition of 3-MA significantly blocked the thalidezine-mediated autophagy, as shown by the decreased percentage of cells with EGFP-LC3 puncta (Figure 2C and Supplementary Figure 2B). Furthermore, pharmacological blockade of the AMPK signalling pathway by compound C (CC) impaired the autophagy-inducing effect of thalidezine (Figure 2D and Supplementary Figure 2C), suggesting the thalidezine-induced autophagy requires AMPK activation. Collectively, our results confirm the autophagy-inducing activity of thalidezine through the AMPK activation.
Thalidezine induces autophagic flux in HeLa cells
Since the increase in autophagosomes by measuring EGFP-LC3 puncta formation might be a result of either the induction of autophagy flux or a failure in fusion of autophagosomes and lysosomes, the conversion of soluble LC3-I to lipid-bound LC3-II was measured in the presence of lysosomal protease inhibitors (E64d and pepstatin A) or bafilomycin A by western blot [30-32]. Obviously, thalidezine markedly increased the rate of LC3-II formation in the presence of the inhibitors when compared with the use of either inhibitors or thalidezine treatment alone (Figure 3A and Supplementary Figure 2D). This result suggested that thalidezine induced autophagic activity through enhanced autophagy flux and autophagosome formation. Alternatively, we continued to trace autophagy flux using mRFP-GFP tandem fluorescent-tagged LC3 (tfLC3) method, which detect the different pattern of GFP-LC3 and tfLC3 based on the different stabilities of GFP and mRFP under certain pH conditions [33]. As the acidic condition of the lysosome quenches the green fluorescence (GFP) signal but not the red fluorescence (mRFP) signal, the LC3 fusion construct with red and green fluorescence proteins is therefore commonly adopted for the determination of autolysosomes (red puncta) and autophagosomes (merged images, yellow puncta) [34]. Our results demonstrated a time-dependent reduction in the percentage of cells with mRFP-GFP co-localization after thalidezine treatment (Figure 3B), confirming the induction of autophagy flux by this alkaloid compound.
Figure 3
Thalidezine induces autophagic flux in HeLa cells
(A) Thalidezine induces LC3-II conversion in the presence of lysosomal inhibitors. HeLa cells were treated with 10 μM of thalidezine in the presence or absence of 10 μg/mL lysosomal protease inhibitors (E64d and pepstatin A) for 24 h. Immunoblot for LC3-I, LC3-II, and β-actin detection (left). LC3 conversion was expressed as fold change relative to the DMSO-treated negative control (right). Uncropped blots images are shown in Supplementary Figure 4C. (B) tfLC3 fluorescence detection pattern of thalidezine. HeLa cells were transfected with mRFP-GFP-LC3 plasmids and treated with 10 μM of thalidezine (Tha) for 0-24 h. Representative micrographs of cells with GFP-LC3 puncta (green channel), mRFP puncta (red channel), and merge images are shown (upper-left and right panel). Scale bar = 15 μm, 60X. Each correlation plot was derived from the field shown in the fluorescence image (lower-right panel). Histogram represented the quantification of the percentage of colocalization between mRFP and GFP signal (lower-left panel). **, P ≤ 0.01; ***, P ≤ 0.001. Data were mean value ± S.D of at least three independent experiments.
Thalidezine induces autophagic flux in HeLa cells
(A) Thalidezine induces LC3-II conversion in the presence of lysosomal inhibitors. HeLa cells were treated with 10 μM of thalidezine in the presence or absence of 10 μg/mL lysosomal protease inhibitors (E64d and pepstatin A) for 24 h. Immunoblot for LC3-I, LC3-II, and β-actin detection (left). LC3 conversion was expressed as fold change relative to the DMSO-treated negative control (right). Uncropped blots images are shown in Supplementary Figure 4C. (B) tfLC3 fluorescence detection pattern of thalidezine. HeLa cells were transfected with mRFP-GFP-LC3 plasmids and treated with 10 μM of thalidezine (Tha) for 0-24 h. Representative micrographs of cells with GFP-LC3 puncta (green channel), mRFP puncta (red channel), and merge images are shown (upper-left and right panel). Scale bar = 15 μm, 60X. Each correlation plot was derived from the field shown in the fluorescence image (lower-right panel). Histogram represented the quantification of the percentage of colocalization between mRFP and GFP signal (lower-left panel). **, P ≤ 0.01; ***, P ≤ 0.001. Data were mean value ± S.D of at least three independent experiments.
Thalidezine suppresses energy metabolism
AMPK was originally defined as the upstream kinase for critical metabolic enzymes implicated in lipid and glucose metabolism [1]. The two major energy pathways of cells are mitochondrial respiration and glycolysis, and the branch point of both pathways is pyruvate. To demonstrate if thalidezine autophagy induction through AMPK activation is involved in the suppression of energy production, studies using pyruvate were first performed. The glycolytic intermediate (methyl pyruvate) was able to suppress thalidezine-mediated EGFP-LC3 puncta formation and LC3-II conversion (Figure 4A & 4B), suggesting that thalidezine-induced autophagy involved energy depletion. To address whether thalidezine-mediated cell death is related to energy depletion, cytotoxicity in the presence of methyl pyruvate was evaluated using annexin V stain flow cytometry analysis. As shown in Figure 4C, thalidezine could significantly induce cell death in HeLa cancer cells, whereas the addition of methyl pyruvate completely abrogated the compound-mediated cell death. Based on these results, the effect of thalidezine in oxidative phosphorylation and glycolysis were further investigated in HeLa cells. As illustrated in Figure 4D, thalidezine treatment inhibited the mitochondrial respiration rates. HeLa cells exhibited the expected oxygen consumption rate (OCR) response to successive treatment with oligomycin, (FCCP), antimycin A and rotenone, which are well-defined small-molecule modulators of the electron transport chain. The cellular basal respiration, ATP production (after the inhibition of the ATP synthase by olygomycin), maximal respiration (after the stimulation of the OCR by FCCP), and non-mitochondrial respiration (after the mitochondrial respiration shuts down by the combination of rotenone and antimycin A) were reduced in thalidezine-treated HeLa cells. Glycolysis was reduced to some extent (Figure 4E), cells were incubated in the glycolysis stress test medium without glucose or pyruvate before the extracellular acidification rate (ECAR) measurement. ECAR was significantly higher in control cells than thalidezine-treated cells after injection of glucose and olygomycin, indicating the inhibition of glycolysis and glycolytic capacity by thalidezine treatment. These results indicated that thalidezine has inhibitory effect on mitochondrial oxidative respiratory reaction chain and glycolysis. Concomitantly, the amount of energy production in the form of ATP was significantly suppressed in HeLa cells (Figure 4F) and DLD1 BAX-BAK DKO apoptosis-resistant colon cancer in response to thalidezine treatment (Figure 4G). These findings suggested that thalidezine is a potent metabolic suppressor via AMPK activation in our cellular models. Since, the activation of AMPK which shifted the energy generation process from glycolysis to mitochondrial oxidative phosphorylation [17, 35, 36], the extent of glycolysis is reduced as demonstrated in the ECAR analysis. However, the OCR of our cancer cells was also decreased as the thalidezine-induced autophagy could remove mitochondria. Provided that the mitochondria function of most cancers is defected according to Warburg effect [37-39], the autophagic clearance of mitochondria would lead to significant changes of OCR.
Figure 4
Thalidezine suppresses cancer cell energy metabolism
(A) Methyl pyruvate suppresses the thalidezine-mediated autophagic effect in cancer cells. HeLa cells were treated with 10 μM of thalidezine (Tha) with or without 5 mM of methyl pyruvate (MP) for 24 h. Representative micrographs of autophagic cells and cell percentage with EGFP-LC3 puncta formation quantification. Scale bar = 10 μm, 60X. (B) Methyl pyruvate abolishes the thalidezine-mediated LC3-II conversion. Immunoblot for LC3-I, LC3-II, and β-actin detection (Uncropped blots images, Supplementary Figure 4B). (C) Methyl pyruvate abrogates thalidezine-mediated cell death. Annexin V stain flow cytometry analysis (lower panel) and percentage of cell death quantification (upper panel). (D) Thalidezine inhibits mitochondrial respiration and oxygen consumption rate (OCR). (E) Thalidezine inhibits glycolysis and extracellular acidification rate (ECAR). HeLa cells were treated with 15 μM of thalidezine for 24 h and then subjected to seahorse analysis using OCR and ECAR assay kits. (F & G) Thalidezine decreases the ATP production in HeLa and DLD-1 BAX-BAK DKO colon cancer cells. *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001. Data were mean value ± S.D of three independent experiments.
Thalidezine suppresses cancer cell energy metabolism
(A) Methyl pyruvate suppresses the thalidezine-mediated autophagic effect in cancer cells. HeLa cells were treated with 10 μM of thalidezine (Tha) with or without 5 mM of methyl pyruvate (MP) for 24 h. Representative micrographs of autophagic cells and cell percentage with EGFP-LC3 puncta formation quantification. Scale bar = 10 μm, 60X. (B) Methyl pyruvate abolishes the thalidezine-mediated LC3-II conversion. Immunoblot for LC3-I, LC3-II, and β-actin detection (Uncropped blots images, Supplementary Figure 4B). (C) Methyl pyruvate abrogates thalidezine-mediated cell death. Annexin V stain flow cytometry analysis (lower panel) and percentage of cell death quantification (upper panel). (D) Thalidezine inhibits mitochondrial respiration and oxygen consumption rate (OCR). (E) Thalidezine inhibits glycolysis and extracellular acidification rate (ECAR). HeLa cells were treated with 15 μM of thalidezine for 24 h and then subjected to seahorse analysis using OCR and ECAR assay kits. (F & G) Thalidezine decreases the ATP production in HeLa and DLD-1 BAX-BAK DKO colon cancer cells. *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001. Data were mean value ± S.D of three independent experiments.
Thalidezine induces cell death via autophagy induction
Autophagy-related gene 7 (Atg7) is one of the essential genes for vesicle nucleation and elongation during autophagy induction [40]. Besides, cancer cells lacking Atg7 gene are insensitive to response to the compounds-induced autophagy [29, 41, 42]. To examine whether thalidezine requires Atg7 for autophagy induction, the WT and Atg7 MEF cells transfected with EGFP-LC3 plasmid were incubated with thalidezine for 24 h and analyzed for EGFP-LC3 puncta formation. As shown in Figure 5A, 10 μM of thalidezine significantly induced formation of EGFP-LC3 puncta in WT, but not in Atg7 MEF cells, indicating the involvement of Atg7 in thalidezine-mediated autophagy induction. To address whether thalidezine-mediated autophagy induction is related to cell death, cytotoxicity in these cell lines were evaluated using annexin V stain flow cytometry analysis. Thalidezine exhibited less toxicity in Atg7 MEF cells when compared to their WT counterparts (Figure 5B). These data suggested that thalidezine-mediated autophagy would eventually contribute to autophagic cell death, as the failure in the induction of autophagy in Atg7 cells completely abolished the thalidezine-mediated cytotoxicity. Collectively, our findings suggested that thalidezine-induced autophagy requires Atg7 and it promotes autophagic cell death in cancer cells.
Figure 5
Thalidezine induces autophagic cell death in Atg7-dependent manner
(A) Thalidezine induces autophagy EGFP-LC3 puncta in Atg7+/+ WT MEF cells. Both Atg7 WT and Atg7 deficient MEF cells were treated with DMSO (Control) or 10 μM of thalidezine (Tha) for 24 h prior to immunofluorescence imaging. Scale bar = 10 μm, 60X. Bar chart quantification of cells with EGFP-LC3 puncta formation is shown in the right panel. (B) Thalidezine induces cell death in Atg7 WT MEF cells. Annexin V stain flow cytometry analysis (upper panel) and percentage of cell viability quantification (lower panel). ***, P ≤ 0.001. Data were mean value ± S.D of three independent experiments.
Thalidezine induces autophagic cell death in Atg7-dependent manner
(A) Thalidezine induces autophagy EGFP-LC3 puncta in Atg7+/+ WT MEF cells. Both Atg7 WT and Atg7 deficient MEF cells were treated with DMSO (Control) or 10 μM of thalidezine (Tha) for 24 h prior to immunofluorescence imaging. Scale bar = 10 μm, 60X. Bar chart quantification of cells with EGFP-LC3 puncta formation is shown in the right panel. (B) Thalidezine induces cell death in Atg7 WT MEF cells. Annexin V stain flow cytometry analysis (upper panel) and percentage of cell viability quantification (lower panel). ***, P ≤ 0.001. Data were mean value ± S.D of three independent experiments.
Thalidezine eliminates apoptosis-resistant cancer cells via AMPK-activated autophagic cell death
Cancer cells are frequently resistant to chemotherapeutic-mediated apoptosis [43]. Thus, the use of small-molecules to induce autophagic cell death in apoptosis-defective or apoptosis-resistant cancer cells could be a good strategy to overcome the problems of drug resistance [25, 44]. To investigate whether thalidezine exhibits potent cytotoxic effects towards apoptosis-resistant cells, a panel of apoptosis-defective MEF cells (caspase 3, 7, 8 KO, 3/8 DKO, and Bax-Bak DKO) and DLD-1 BAX-BAK DKO colon cancer cells were used. As shown in Figure 6A, thalidezine showed similar cytotoxicity in both WT and caspase deficient MEF cells, and was more susceptible to induce cell death in caspase 7 and 8 KO MEFs. Similar cytotoxic effect towards both WT and Bax-Bak DKO MEF cells, and DLD-1 WT and BAX-BAK DKO cancer cells suggested that, thalidezine could overcome the apoptosis-resistant phenotype of cells conferred by genetic deficiencies. To further validate the above observation, cytotoxic effects of thalidezine in both WT and Bax-Bak DKO MEF cells were determined using annexin V stain flow cytometry analysis (Supplementary Figure 3A). As expected, both MTT and flow cytometry results were coherent to each other, suggesting that thalidezine could induce potent cytotoxicity in apoptosis-defective or apoptosis-resistant cells. Owing to the direct interaction of AMPK by thalidezine, we determined the role of AMPK in thalidezine-mediated autophagic cell death in DLD-1 BAX-BAK DKO apoptosis-deficient colon cancer cells. Apparently, AMPK inhibitor CC significantly suppressed the thalidezine-induced autophagy and cell death in DLD-1 cells BAX-BAK DKO (Supplementary Figure 3B and Figure 6B), confirming the crucial role of AMPK signalling in thalidezine-autophagic cell death in apoptosis defective cancer cells. Furthermore, another apoptosis-resistant cancer model was also utilized to evaluate the potential anti-cancer effect of thalidezine. For this purpose, apoptosis-resistant HCT-116p53 mutant colon cancer cells were incubated with 30 μM of thalidezine in the presence of CC prior to annexin V stain flow cytometry analysis. Obviously, addition of CC markedly blocked the thalidezine-mediated cell death in these apoptosis-resistant cancer cells (Figure 6C). Concomitantly, both DLD-1 BAX-BAK DKO and HCT-116p53 mutant colon cancer were found to have AMPK activation in response to thalidezine treatment (Supplementary Figure 5). Therefore, our results highlight the therapeutic potential of developing thalidezine to target apoptosis-resistant cancer via AMPK activation.
Figure 6
Thalidezine induces autophagic cell death in apoptosis-resistant cancer via AMPK signaling
(A) Cytotoxicity of thalidezine in a panel of apoptosis-resistant cells. WT MEFs, caspase 3, 7, and 8 KO, caspase 3/7 DKO, Bax-Bak WT, and Bax-Bak DKO deficient MEFs; DLD-1 WT, and DLD-1 BAX-BAK DKO colon cancer cells were treated with 0-100 μM of thalidezine (Tha) for 3 days and then subjected to MTT cytotoxicity assay. (B) AMPK inhibitor CC abrogates thalidezine-induced autophagic cell death in DLD-1 BAX-BAK DKO colon cancer cells. Cells were treated with DMSO (Control) or 15 μM of thalidezine with or without 10 μM of CC for 24 h. Annexin V stain flow cytometry analysis (lower panel). Percentage of cell death quantification (upper panel). (C) AMPK inhibitor CC suppresses thalidezine-mediated autophagic cell death in apoptosis-resistant p53−/− HCT-116 colon cancer cells. Cells were treated with DMSO or 30 μM of thalidezine with or without 10 μM of CC for 24 h. Annexin V stain flow cytometry analysis (left panel). Percentage of cell death quantification (right panel). **, P ≤ 0.01; ***, P ≤ 0.001. Data were mean value ± S.D of three independent experiments.
Thalidezine induces autophagic cell death in apoptosis-resistant cancer via AMPK signaling
(A) Cytotoxicity of thalidezine in a panel of apoptosis-resistant cells. WT MEFs, caspase 3, 7, and 8 KO, caspase 3/7 DKO, Bax-Bak WT, and Bax-Bak DKO deficient MEFs; DLD-1 WT, and DLD-1 BAX-BAK DKO colon cancer cells were treated with 0-100 μM of thalidezine (Tha) for 3 days and then subjected to MTTcytotoxicity assay. (B) AMPK inhibitor CC abrogates thalidezine-induced autophagic cell death in DLD-1 BAX-BAK DKO colon cancer cells. Cells were treated with DMSO (Control) or 15 μM of thalidezine with or without 10 μM of CC for 24 h. Annexin V stain flow cytometry analysis (lower panel). Percentage of cell death quantification (upper panel). (C) AMPK inhibitor CC suppresses thalidezine-mediated autophagic cell death in apoptosis-resistant p53−/− HCT-116colon cancer cells. Cells were treated with DMSO or 30 μM of thalidezine with or without 10 μM of CC for 24 h. Annexin V stain flow cytometry analysis (left panel). Percentage of cell death quantification (right panel). **, P ≤ 0.01; ***, P ≤ 0.001. Data were mean value ± S.D of three independent experiments.
DISCUSSION
AMPK is a sensor of cellular energy status that inhibits cell growth and proliferation, and also promotes catabolic metabolism and autophagy [1], which functions as drug target for metabolic derangements such as type 2 diabetes, cancer, and inflammatory disease [45, 46]. Despite the complex role of AMPK in cancer which functioned contextually as both tumor suppressor and promoter [47], increasing number of studies are showing the benefits of AMPK activation in the inhibition of cancer cells proliferation, migration, invasion, metabolic reprograming, and the reversion of epithelial-mesenchymal transition [14, 48–51]. Over the past years, more than 100 different natural products have been shown to activate AMPK [17], with a significant amount of them classed as polyphenols, flavonoids, terpenes, saponins, chalcones, benzoquinones, and thiazolidinediones. Our research group has previously proposed a new class of compound exhibiting direct activation of AMPK, the bisbenzylisoquinoline alkaloid [29, 30]. In this report, we have further demonstrated that thalidezine directly binds to and activates the α1β1γ1 isoform of recombinant humanAMPK. We have also confirmed that the thalidezine-induced AMPK activation triggered autophagy is independent of cell type specificity. However, thalidezine showed specific cytotoxic effect towards cancer cells and exhibit low cytotoxicity in normal cells. Consequently, thalidezine could be used as anticancer or in combination with chemotherapeutics agents in a spectrum of cancers of different origins. Therefore, in-depth studies concerning the specific site of interaction between thalidezine and AMPK are required. In particular, the application of thalidezine in cancers demonstrating multidrug resistant phenotype, the main factor impeding the chemotherapy efficacy, should be emphasized. Multiple evidences are suggesting the possible role of AMPK activation in overcoming multiple drug resistance via alternation of intracellular AMP/ATP ratio [52] and molecular manipulation of the anti-cancer drugs efflux pump, P-glycoprotein (P-gp) encoded by multidrug resistance gene (MDR1) [53]. The levels of p-AMPK were found reduced in 5-FU-resistant gastric carcinoma cells. Consistently, AMPK activator (AICAR) promoted apoptosis with increased phosphorylation of AMPK, and enhanced the sensitivity of gastric cancer cells to 5-FU with reduced expression of MDR1 [54]. 2-arylthiazolidine-4-carboxylic acid amide (ATCAA)-10 is an effective cytotoxic agent that was able to dephosphorylate Akt, and phosphorylate the AMPK in A549 and HeLa cells. Besides, ATCAA are effective cytotoxic agents towards prostate, melanoma and P-gp over-expressing MES/SA/Dx5 multidrug resistant cells [52]. Therefore, targeting the phosphatidylinositol-3-kinase (PI3K)/Akt and AMPK pathways may be effective in anti-cancer therapy. In fact, PI3K/AMPK/AKT and MAPK pathways are therapeutic targets for non-small cell lung cancer (NSCLC). 21α-Methylmelianodiol (21α-MMD), an active triterpenoid isolated from Poncirus trifoliate, regulates the PI3K/AKT/AMPK and MAPK pathways, and reverses the MDR activity through the inhibited expressions of P-gp or MDR1, suggesting its anti-lung cancer property through reversal of MDR activity [55]. MDR is one of the major barriers for breast cancer treatments. Emerging researches have suggested the effect of metformin on reversing chemo-resistance in breast cancer cells. For example, metformin resensitized multidrug-resistant MCF7/5-FU and MDA-MB-231breast cancer cells to toxic chemotherapy agents including 5-fluorouracil (5-FU), adriamycin, and paclitaxel, together with the activation of AMPK signal pathway [56]. Targeting the B-Raf kinase in the AMPK signaling pathway is one of the therapeutic approaches in cancer therapy. Although two Raf inhibitors, sorafenib and PLX4720, were demonstrated to inhibit the growth of MDR-NIH 3T3 cells with different phosphorylation extent on AMPK, both of them inhibited mTOR and induced autophagy, suggesting the possible role of AMPK activation and Raf inhibition in abrogating the multidrug resistance of cancers [57]. Mollugin, a compound isolated from roots of Rubica cordifolia L., inhibited transcription and expression of MDR1 through attenuating CRE transcriptional activity via AMPK activation [58].Although AMPK-induced autophagy appeared to be a promising pharmaceutical target for drugs against malignancy, technicalities rendering the practical use of AMPK modulators are still an issue for successful clinical translation. For example, the complex genetic heterogeneity within tumor mass implied the difficulties in accurately applying the compatible AMPK activators which is relevant to the specific subclonal mutations [59]. In the tissue and organ levels, autophagy is highly cell-type specific which may reduce the efficacy of the applied AMPK activators. As described in chronic liver disease, hepatic fibrosis, and hepatocellular carcinoma, the coexistence of hepatocytes and hepatic stellate cells (HSCs) within the hepatic lobes could critically affect the therapeutic performance in response to the different stages of disease progression [19]. Also, the timing of autophagy activators administration is another factor that needs to be fully examined, since the nutrients that generated from autophagy induction may provide energy for supporting cancer development upon some stages of tumorigenesis [31].Metformin is an AMPK activator that acts indirectly by inhibiting complex I of the respiratory chain, while we showed that thalidezine directly activated AMPK. As a result, the therapeutic effects of using thalidezine could be more specific than metformin. In addition, the use of metformin is associated with the side effect of lactic acidosis [60]. When compared, thalidezine is isolated from the natural medicinal plant Thalictrum glandulosissimum, which have long been used in traditional Chinese medicine therapy. Therefore, thalidezine could be safer than the synthetic compound metformin. Furthermore, thalidezine can induce direct AMPK activation and the downstream autophagic process. The compound also triggers cytotoxic effects upon cancer without causing significant cell death of normal cell. Such cytotoxicity is associated with autophagy, making thalidezine an ideal compound to be further developed into the novel and safe AMPK activator effective for multidrug resistant cancers with hampered apoptotic response. Notably, our data suggested that thalidezine is an energy suppressor by acting through AMPK-mediated metabolic inhibition, therefore, the compound could also be useful treatment for metabolic diseases including diabetes and inflammation. Such finding also encouraged the search of other innovative pharmaceutical candidates for multidrug resistant cancers by targeting the energetic metabolic pathways.
MATERIALS AND METHODS
Cell culture
HeLa, MCF-7, PC3, Hep3B, HepG2, A549, H1975, H1299, LO2 cell lines were purchased from the American Type Culture Collection (Rockville, MD). DLD-1, and DLD-1 BAX/BAK double knockout (DKO) cell lines were from Sigma-Aldrich. These cell lines were authenticated by ATCC. Immortalised wild type (WT) and Atg7-deficient mouse embryonic fibroblasts (MEF) were obtained from Prof. Masaaki Komatsu (Juntendo University, School of Medicine, Japan). Immortalised WT, Caspase 3, 7, knockout (KO), and caspase 3/7 DKO MEF were graciously provided by Prof. Richard A. Flavell (Yale University School of Medicine, United States). Immortalised WT and Caspase 8 KO MEF were a gift from Prof. Kazuhiro Sakamaki (Kyoto University, Graduate School of Biostudies, Japan). Immortalised WT and Bax-Bak DKO MEF were gently supplied by Prof. Shigeomi Shimizu (Tokyo Medical and Dental University, Medical Research Institute, Japan). HCT-116 WT and p53−/− deficient colon cancer cell lines were kindly provided by Professor Bert Vogelstein (Ludwig Center at Johns Hopkins, Howard Hughes Medical Institute, USA). Every culture medium was supplemented with 10% foetal bovine serum (FBS), 50 U/mL penicillin, and 50 μg/mL streptomycin (Invitrogen, Scotland, UK). Cells were cultured at 37°C in a humidified incubator containing 5% CO2.
Reagents, plasmids and antibodies
The following reagents were used at doses indicated in the text and figures. Thalidezine (China Chengdu Biotechnology Company Ltd., Chengdu, China) (>98% purity, HPLC). Bafilomycin A, E64D, pepstatin A, and compound C (Calbiochem, Darmstadt, Germany). The pGFP-LC3 and mRFP-GFP tandem fluorescent-tagged LC3 (tfLC3) plasmids were kindly provided by Prof. Tamotsu Yoshimori (Osaka University, Japan). Antibodies against LC3-I, LC3-II, p-AMPK (Thr172), AMPK, p-p70S6K (Thr389), and p70S6K were ordered from Cell Signalling Technologies Inc. (Beverly, MA). The ZyMax™ TRITC-conjugated anti-mouse secondary antibodies were purchased from Invitrogen (Scotland, UK). Actin antibody was obtained from Santa Cruz Biotechnology (Santa Cruz, CA). Unless otherwise specified, all other reagents were purchased from Sigma-Aldrich (MO, USA).
Bio-Layer Interferometry (BLI) binding assay
The binding kinetics of thalidezine to recombinant active humanAMPK (Sigma-Aldrich, St. Louis, USA) was determined using BLI on Octet RED (FortéBio, Shanghai, China) following manufacturer protocol. All the interaction analyses were performed at 30°C in PBS 0.2% DMSO buffer. Loading of Nickel-charged tris-NTA (Ni-NTA) biosensors (FortéBio) was conducted by exposing HIS-tagged AMPK (α1/β1/γ1, Catalog Number A1233) containing 0.1 mg/mL to biosensor tips for two hours. The 96-well microplates used in the Octet were filled with 200 μl of sample or buffer per well and agitated at 1000 rpm. The loaded biosensors were washed in buffer for 600 sec and transferred to the wells containing thalidezine at concentrations of 12.5, 25, 50, and 100 μM in buffer, respectively. The association and dissociation was observed for 60 sec for each sample diluents. Reference measurements were conducted by using buffer instead of thalidezine. A parallel set of Ni-NTA unloaded biosensors was prepared to act as a control. The sample-sensorgrams were corrected by subtracting the double reference curve. Kinetic parameters (Kon and Koff) and affinity (K) were determined from a global fit to a 1:1 binding model of the data between AMPK and thalidezine using Octet software (FortéBio).
AMPK kinase activity
AMPK kinase activity was measured by CycLex® AMPK Kinase Assay Kit (MBL, Japan) according to manufacturing instructions. Recombinant active humanAMPK (α1 β1 γ1) was incubated with the indicated concentrations of thalidezine or AMP (10 μM) for 20 min at 30°C in a plate pre-coated with the protein mouseinsulin receptor substrate-1 (IRS-1). After stop the reaction by washing five times, AMPK activity was measured using an anti-mouse phospho-Ser-789, and peroxidase-coupled anti-mouse IgG antibody (30 minutes at RT). Finally, conversion of the chromogenic substrate tetra-methylbenzidine was quantified by measuring changes in absorbance at 450/550 nm.
Immunoblot analysis
Western blot analysis was carried out following standard methods. Cells were lysed with RIPA lysis buffer with protease and phosphatase inhibitor cocktails. Protein concentrations were determined using the Bio-Rad protein assay (Bio-Rad Laboratories, Inc., Hercules, CA, USA). After electrophoresis, the proteins from SDS/PAGE were electro-transferred to a Hybond enhanced chemiluminescence nitrocellulose membrane (Amersham Biosciences, NJ, USA), which was then blocked with 5% dried milk for 1 hour. After washing, the blot was incubated with the indicated primary antibodies overnight at 4°C. Detection was performed using appropriated HRP-conjugated secondary antibodies for 1 hour at RT followed by chemiluminescence (Invitrogen). Band intensities were quantified by using the software ImageJ (NIH, MD, USA). LC3 conversion was quantified by measuring band intensities (LC3-II, 16 kDa) and normalised to β-actin.
MTT cytotoxicity assays
Cytotoxicity of thalidezine was measured using the MTT (3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide) assay in six replicates. Cells were seeded and incubated in 96-well plates in the respective medium, and then exposed to various concentrations of thalidezine dissolved in DMSO for 72 hours. After MTT incubation, the absorbance at 570 nm was determined on a plate reader. The percentage of viable cells was calculated using the following formula: Cell viability (%) = Cells number treated/Cells number DMSO control × 100.
Quantification of autophagic EGFP-LC3 puncta
Cells transiently transfected with the EGFP-LC3 plasmid were treated with DMSO or thalidezine. The samples were fixed with 4% paraformaldehyde (Sigma-Aldrich) and then mounted with FluorSave™ Reagent (Calbiochem, San Diego, California). GFP positive cells were imaged by widefield epifluorescence microscopy using Photometrics CoolSNAP HQ2 CCD camera on the Olympus IX71-Applied Precision DeltaVision restoration microscope (Applied Precision, Inc, USA). All fluorescence images were deconvolved using DeltaVision algorithms (Applied Precision, Inc.). To quantify autophagic cells, the percentage of cells with increased EGFP-LC3 puncta formation was calculated by counting the number of cells showing the punctate pattern of EGFP-LC3 (≥ 10 puncta/cell) divided by the total number of EGFP-positive cells. At least 1000 cells from randomly selected fields were scored per condition and experiment.
mRFP-GFP tandem fluorescent-tagged LC3 (tfLC3) detection
HeLa cancer cells transfected with tfLC3 were treated with thalidezine, and processed as described above. Colocalisation of mRFP (red) with GFP (green) fluorescence protein in tfLC3 puncta was measured using DeltaVision algorithms (Applied Precision, Inc.), and shown as the percentage of the total number of yellow mRFP+-GFP+ puncta. At least five images selected fields were scored per condition and experiment.
Endogenous LC3-II immunofluorescence analysis
Cells were fixed with 4% paraformaldehyde, permeabilized with methanol, incubated with anti-LC3II [1:200] in TBST 5% BSA overnight at 4°C, incubated with TRITC anti-mouse secondary antibody [1:1000] in TBST 5% BSA at 37°C for 1 h in darkness, mounted, and imaged by epifluorescence microscope.
Flow cytometry analysis
Thalidezine-treated cells were harvested and analysed by multiparametric flow cytometry using FITC-Annexin V and propidium iodide staining (BD Biosciences, San Jose, CA, USA) according to the manufacturer instructions. Apoptotic cells were quantitatively counted by a flow cytometer (BD FACSAria III, San Jose, CA, USA). Data acquisition and analysis were performed with CellQuest (BD Biosciences, San Jose, CA, USA) from triple independent experiments.
Metabolic stress assay
HeLa cells were plated in XFp plates (SeaHorse Biosciences) at 3000-5000 cells/well, wells without cells was added as background control. After 24 hours of thalidezine treatment at 15 μM, oxidative phosphorylation and glycolysis were determined in a SeaHorse Bioscience XFp extracellular flux analyzer according to manufacturer instructions. For the mitochondrial oxygen consumption rate (OCR), the compounds oligomycin (10 μM), Carbonyl cyanide 4-(trifluoromethoxy) phenylhydrazone (FCCP) (0.5 μM), and a mix of rotenone (complex I inhibitor) and antimycin A (complex III inhibitor) (0.5 μM) were serially injected to measure ATP production, maximal respiration, and non-mitochondrial respiration, respectively. Oligomycin reduces OCR by inhibiting ATP synthase (complex V) which decreases the mitochondrial respiration associated with cellular ATP production. FCCP collapses the proton gradient and disrupts the mitochondrial membrane potential which maximizes the oxygen consumption by complex IV. The mix prepared from rotenone and antimycin A switch off mitochondrial respiration and enable the calculation driven by processes outside the mitochondria. While for the extracellular acidification rate (ECAR), the compounds glucose (10 mM), oligomycin (10 μM), and 2-deoxy-glucose (2-DG, 50 mM) were serially injected to measure glycolysis, glycolytic capacity, and non-glycolytic acidification. The first injection is to saturate the glucose concentration which facilitates the glycolytic pathway for ATP and protons synthesis resulting in a rapid increase in ECAR. Oligomycin shifts the energy production to glycolysis by inhibiting the mitochondrial ATP production. The glucose analog, 2-deoxy-glucose, inhibits glycolysis through competitive binding to glucosehexokinase.
LC-MS/MS measurement of ATP metabolites
The HeLa cell pellet was then treated with 150 μL of 15% trichloroacetic acid (TCA) containing 7.5 μL of 20.0 uM ATP13C, 15N as internal standard and placed on ice for 10 minutes. After centrifugation at 13,500 rpm for 15 min, the acidic supernatant was separated and neutralized twice with 80 μL mixture of trioctylamine and 1, 1, 2-trichlorotrifluoroethane (a volume ratio of 45 to 55) for LC-MS/MS analysis. A Thermo Fisher TSQ LC–MS/MS system consisted of an Accela Autosampler, an Accela pump and a Quantum Access triple quadrupole mass spectrometer. Data acquisition was performed with the Xcalibur software version 2.0.7, and data processing was carried out using the Thermo LCquan 2.5.6 data analysis program.
Statistical analysis
The results were expressed as the means ± SD as indicated. All statistical analyses were performed using a two-tailed Student t test. P < 0.05 was considered statistically significant.
Authors: Ying Wang; Yingmei Wei; Xiu Cheng; Xiaojin Sun; Linyan Ma; Yining Song; Jing Zhou; Fang Wei; Hao Liu Journal: Nan Fang Yi Ke Da Xue Xue Bao Date: 2018-07-30
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; 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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; 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Authors: Simon W F Mok; Wu Zeng; Yuzhen Niu; Paolo Coghi; Yujun Wu; Wai Man Sin; Sio Ian Ng; Flora Gordillo-Martínez; Jia Yin Gao; Betty Y K Law; Liang Liu; Xiaojun Yao; Vincent K W Wong Journal: Front Pharmacol Date: 2018-07-03 Impact factor: 5.810
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