Literature DB >> 31469345

Tanycytic TSPO inhibition induces lipophagy to regulate lipid metabolism and improve energy balance.

Seolsong Kim1, Nayoun Kim1, Seokjae Park1,2, Yoonjeong Jeon1,2, Jaemeun Lee1, Seung-Jun Yoo1,3, Ji-Won Lee1, Cheil Moon1,3, Seong-Woon Yu1,2, Eun-Kyoung Kim1,2.   

Abstract

Hypothalamic glial cells named tanycytes, which line the 3rd ventricle (3V), are components of the hypothalamic network that regulates a diverse array of metabolic functions for energy homeostasis. Herein, we report that TSPO (translocator protein), an outer mitochondrial protein, is highly enriched in tanycytes and regulates homeostatic responses to nutrient excess as a potential target for an effective intervention in obesity. Administration of a TSPO ligand, PK11195, into the 3V, and tanycyte-specific deletion of Tspo reduced food intake and elevated energy expenditure, leading to negative energy balance in a high-fat diet challenge. Ablation of tanycytic Tspo elicited AMPK-dependent lipophagy, breaking down lipid droplets into free fatty acids, thereby elevating ATP in a lipid stimulus. Our findings suggest that tanycytic TSPO affects systemic energy balance through macroautophagy/autophagy-regulated lipid metabolism, and highlight the physiological significance of TSPO in hypothalamic lipid sensing and bioenergetics in response to overnutrition. ABBREVIATIONS: 3V: 3rd ventricle; ACAC: acetyl-Coenzyme A carboxylase; AGRP: agouti related neuropeptide; AIF1/IBA1: allograft inflammatory factor 1; AMPK: AMP-activated protein kinase; ARC: arcuate nucleus; Atg: autophagy related; Bafilo: bafilomycin A1; CAMKK2: calcium/calmodulin-dependent protein kinase kinase 2, beta; CCCP: carbonyl cyanide m-chlorophenylhydrazone; CNS: central nervous system; COX4I1: cytochrome c oxidase subunit 4I1; FFA: free fatty acid; GFAP: glial fibrillary acidic protein; HFD: high-fat diet; ICV: intracerebroventricular; LAMP2: lysosomal-associated membrane protein 2; LD: lipid droplet; MAP1LC3B/LC3B: microtubule-associated protein 1 light chain 3 beta; MBH: mediobasal hypothalamus; ME: median eminence; MEF: mouse embryonic fibroblast; NCD: normal chow diet; NEFM/NFM: neurofilament medium; NPY: neuropeptide Y; OL: oleic acid; POMC: pro-opiomelanocortin-alpha; PRKN/Parkin: parkin RBR E3 ubiquitin protein ligase; Rax: retina and anterior neural fold homeobox; RBFOX3/NeuN: RNA binding protein, fox-1 homolog (C. elegans) 3; RER: respiratory exchange ratio; siRNA: small interfering RNA; SQSTM1: sequestosome 1; TG: triglyceride; TSPO: translocator protein; ULK1: unc-51 like kinase 1; VCO2: carbon dioxide production; VMH: ventromedial hypothalamus; VO2: oxygen consumption.

Entities:  

Keywords:  AMPK; TSPO; autophagy; energy balance; energy expenditure; food intake; hypothalamus; lipid metabolism; lipophagy; tanycyte

Year:  2019        PMID: 31469345      PMCID: PMC7469491          DOI: 10.1080/15548627.2019.1659616

Source DB:  PubMed          Journal:  Autophagy        ISSN: 1554-8627            Impact factor:   16.016


Introduction

Hypothalamus in the brain plays a key role in the control of metabolism and maintenance of energy homeostasis by integrating metabolic signals such as nutrients or hormones [1,2]. Besides hypothalamic neural circuits, the contribution of glial cells to the control of body weight and appetite in the hypothalamus is also gaining attention [3,4]. Tanycytes, a subtype of glial cells lining the ependymal surface of the 3rd ventricle (3V), have been suggested to play significant roles in the regulation of energy homeostasis [5,6]. Tanycytes extend the processes into neurosecretory terminals in the median eminence (ME) and neurons located in the parenchyma of the hypothalamus including the ventromedial hypothalamus (VMH) and arcuate nucleus (ARC), all of which are hypothalamic nuclei that regulate energy balance [6]. Tanycytes sense nutrient signals [7,8], control the access of circulating hormones [9,10], and shuttle metabolic factors between blood and cerebrospinal fluid/other hypothalamic neurons [11,12], affecting the function of the neural circuits. Thus, integrative functions of tanycytes as sensors and gatekeepers are important to maintain energy homeostasis. However, what molecules/regulators in tanycytes are responsible for their functions in energy homeostasis remains largely unknown. TSPO (translocator protein) is an outer-mitochondrial membrane protein, previously known as peripheral benzodiazepine receptor for its high affinity for benzodiazepines outside of the central nervous system (CNS) [13]. Many functions have been proposed for TSPO, which include transport of cholesterol into the mitochondria for steroidogenesis [14-16], regulation of the mitochondrial permeability transition pore [17,18], apoptosis [19], and inflammation [20,21]. In the CNS, TSPO expression is highly upregulated in glial cells in a variety of neurodegenerative diseases involving neuroinflammation [22,23]. Interestingly, a high level of TSPO is observed in organs and tissues related to lipid storage and metabolism such as the adrenal gland, kidney, adipose tissues, liver, and gonad [24,25]. Conditional knockout of Tspo in both gonads and adrenal glands of mice reduces lipid storage in testes and ovaries [15]. Furthermore, global knockout of Tspo increases fatty acid oxidation–related gene expression in the adrenal gland [25]. Despite these findings linking TSPO to energy and lipid metabolism, the mechanisms underlying TSPO function are largely unknown. Autophagy is a lysosome-dependent catabolic process that is essential for the control of cell and organ homeostasis by removing and recycling toxic or obsolete intracellular components [26]. Macroautophagy (the best known form of autophagy, hereafter simply referred to as autophagy) is conventionally considered as a non-selective, bulk degradation process. However, the selective clearance of cellular constituents by autophagy is also critical for the turnover of cellular constituents. Lipophagy is an autophagic degradation of cellular lipid droplets (LDs) and an important pathway for lipid metabolism and production of free fatty acids (FFAs) [27-29]. Cytosolic LDs are engulfed by autophagosomes and transported to lysosomes, where neutral fats are degraded by lysosomal acid lipase [30-32]. Lipophagy links autophagy and lipolysis, expanding its physiological relevance to a diverse range of cellular and organismal processes such as development [33], differentiation [34], cholesterol efflux [35], lipid metabolism [27,36], cellular energy balance [37], and feeding behavior [38]. Dysregulation of lipophagy may underlie a complex metabolic disease state such as non-alcoholic fatty liver disease [39,40], whereas an exact role for lipophagy of LDs in obesity has yet to be identified. Therefore, delineation of the role of lipophagy in nutrient sensing and lipid metabolism will contribute to potential therapeutic designs modulating the turnover of LDs, a hallmark and etiological factor in metabolic diseases. To date, whether autophagy regulates lipid homeostasis through lipophagy in the brain remains to be determined. In this study, we show that TSPO in tanycytes plays an important role in lipid metabolism by regulating lipophagy in an AMP-activated protein kinase (AMPK)-dependent manner. Furthermore, tanycyte-specific ablation of Tspo prevents obesity by inducing hypophagia and elevating energy expenditure on a high-fat diet (HFD). We suggest that tanycytic TSPO may have a novel role as a regulator of lipid and energy metabolism, thus affecting systemic energy balance.

Results

Hypothalamic TSPO is highly expressed in ependymal cells and tanycytes

We first examined the expression pattern of TSPO in the mediobasal hypothalamus (MBH) of the adult mice. Dorsal tanycytes located near the VMH are referred to as α-tanycytes and ventral tanycytes close to the ARC or ME as β-tanycytes [41]. Immunostaining analysis revealed prominent TSPO expression in the ventricular region lining the 3V and ME floor, with similar levels between α- and β-tanycytes; TSPO expression was relatively low in the parenchymal region of the MBH (Figure 1A). Among the MBH nuclei, the TSPO level was higher in the dorsomedial hypothalamus than in the VMH or ARC (Figure 1A). Consistent with the pattern of the TSPO protein, in situ hybridization revealed that Tspo mRNA levels were also high in cells lining the 3V and ME floor when the antisense probe (Figure 1B) but not the sense probe was used (data not shown).
Figure 1.

TSPO is highly expressed in ependymal cells and tanycytes in the hypothalamus. (A) Distribution of TSPO (red) immunoreactivity and nuclear staining (Hoechst, blue) in a coronal section of the mediobasal hypothalamus (MBH) in adult mice. DMH, dorsomedial hypothalamus; VMH, ventromedial hypothalamus; ARC, arcuate nucleus. (B) In situ hybridization for Tspo mRNA in the MBH of adult mice. (C–F) Immunostaining for TSPO (red) and VIM (green, C), NES (green, D), AIF1 (green, E), or GFAP (green, F) with Hoechst (blue) staining in the MBH near the 3V of adult mice.

TSPO is highly expressed in ependymal cells and tanycytes in the hypothalamus. (A) Distribution of TSPO (red) immunoreactivity and nuclear staining (Hoechst, blue) in a coronal section of the mediobasal hypothalamus (MBH) in adult mice. DMH, dorsomedial hypothalamus; VMH, ventromedial hypothalamus; ARC, arcuate nucleus. (B) In situ hybridization for Tspo mRNA in the MBH of adult mice. (C–F) Immunostaining for TSPO (red) and VIM (green, C), NES (green, D), AIF1 (green, E), or GFAP (green, F) with Hoechst (blue) staining in the MBH near the 3V of adult mice. To further determine the cell type–specific TSPO localization, double immunostaining was performed for TSPO and cell type–specific markers: VIM/vimentin, NES/nestin (ependymal cell and tanycyte markers), AIF1/IBA1 (allograft inflammatory factor 1; a microglial marker), GFAP (glial fibrillary acidic protein; an astrocyte marker), and RBFOX3/NeuN (RNA binding protein, fox-1 homolog [C. elegans] 3), MAP2 (microtubule associated protein 2), and AGRP (agouti-related neuropeptide) (neuronal markers). TSPO was highly co-expressed with both VIM and NES in α- and β-tanycytes, in both cell bodies and basal processes that penetrate into the hypothalamic parenchyma (Figure 1C,D). TSPO was also co-expressed with VIM and NES in ependymal cell bodies (Figure 1C,D). AIF1-positive microglia in the ARC also expressed TSPO (Figure 1E). In contrast, TSPO was barely expressed in GFAP-positive astrocytes in the ARC, but several GFAP-positive tanycytes located on the dorsal 3V expressed TSPO (Figure 1F). Mature neurons expressing RBFOX3, MAP2, or AGRP did not express TSPO in the ARC (Figure S1). Taken together, the above data indicate that expression of TSPO in the hypothalamus is restricted to glial cells, most notably to 3V-lining cells including ependymal cells and tanycytes.

PK11195, a TSPO-specific ligand, in the hypothalamus induces negative energy balance

To examine whether the modulation of TSPO in the hypothalamus alters energy metabolism in mice under normal and overnutrition conditions, mice fed normal chow diet (NCD) or HFD for 4 weeks were administered a well-known TSPO ligand PK11195 into the 3V within the MBH. In NCD-fed mice, PK11195 reduced food intake at 8 and 16 h post-injection, resulting in weight loss compared to vehicle-injected control mice (Figure 2A,B). This was consistent with decreased orexigenic Agrp and increased anorexigenic Pomc (pro-opiomelanocortin-alpha) mRNA levels (Figure 2C). In HFD-fed mice, food intake and weight gain were attenuated by PK11195 at 8, 16, and 24 h post–injection, with decreased expression of orexigenic Agrp and Npy (neuropeptide Y) (Figure 2D–F), although the mRNA level of Pomc was not changed (Figure 2F). The hypothalamic Tspo mRNA level was not changed by intracerebroventricular (ICV) injection of PK11195 (Figure 2C,F) or HFD feeding (Figure S2). Furthermore, indirect calorimetry showed that PK11195 administration increased respiratory exchange ratio (RER), oxygen consumption (VO2), and carbon dioxide production (VCO2) rates, and heat production in both NCD- and HFD-fed mice during the dark cycle (Figure 2G–J). Locomotor activity was increased by PK11195 in NCD-, but not HFD-fed mice (Figure 2K,L). These results indicate that injection of PK11195 in the hypothalamus results in negative energy balance.
Figure 2.

Administration of the TSPO ligand PK11195 into the 3V reduces food intake and stimulates energy expenditure in NCD- and HFD-fed mice. Mice were fed NCD or HFD for 4 weeks, and PK11195 or vehicle (2% ethanol) was injected into the 3V through a cannula. (A–F) Body weight change (A and D), food intake (B and E), and hypothalamic Agrp, Npy, Pomc and Tspo mRNA expression (C and F) in mice fed NCD (A–C; n = 10) or HFD (D–F; n = 5). (G–L) RER (G), VCO2 (H), VO2 (I), heat production (J), locomotor activity x axis (XTOT) (K), and z axis (ZTOT) (L). (NCD, n = 12; HFD, n = 8). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, and ***P ≤ 0.001 vs. NCD vehicle; #P ≤ 0.05, ##P ≤ 0.01, and ###P ≤ 0.001 vs. HFD vehicle as determined by Student’s t-test.

Administration of the TSPO ligand PK11195 into the 3V reduces food intake and stimulates energy expenditure in NCD- and HFD-fed mice. Mice were fed NCD or HFD for 4 weeks, and PK11195 or vehicle (2% ethanol) was injected into the 3V through a cannula. (A–F) Body weight change (A and D), food intake (B and E), and hypothalamic Agrp, Npy, Pomc and Tspo mRNA expression (C and F) in mice fed NCD (A–C; n = 10) or HFD (D–F; n = 5). (G–L) RER (G), VCO2 (H), VO2 (I), heat production (J), locomotor activity x axis (XTOT) (K), and z axis (ZTOT) (L). (NCD, n = 12; HFD, n = 8). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, and ***P ≤ 0.001 vs. NCD vehicle; #P ≤ 0.05, ##P ≤ 0.01, and ###P ≤ 0.001 vs. HFD vehicle as determined by Student’s t-test.

Blockade of TSPO increases AMPK activity through the CAMKK2 pathway in tanycyte-like cells

To elucidate the molecular mechanism underlying the regulation of energy homeostasis by tanycytic TSPO, we used a hypothalamic cell line, A2/29 which are immortalized cells generated from the hypothalamus of an adult male mouse [42]. Immunocytochemistry showed that VIM and NES were highly expressed, while AIF1, GFAP, RBFOX3, and NEFM/NFM (neurofilament medium) were undetectable in A2/29 cells (Figure 3A). Furthermore, A2/29 cells robustly expressed Rax (retina and anterior neural fold homeobox), as shown by agarose gel electrophoresis of PCR products (Figure S3(a)). Rax is a specific tanycyte marker that distinguishes tanycytes from ependymal cells [43,44]. Therefore, the robust expression of Rax, as well as other markers, suggests that A2/29 have tanycyte-like characteristics. In addition, transfection of DsRed2-mito (a DsRed2 construct containing a mitochondrial targeting sequence) into A2/29 cells showed perfect colocalization of TSPO with mitochondria (Figure 3B). Hence, A2/29 were used as an in vitro hypothalamic tanycyte model in our study.
Figure 3.

Inhibition of TSPO activates AMPK by blocking mitochondrial Ca2+ uptake in A2/29 cells. (A) Immunostaining for VIM or NES (green) with Hoechst (blue) staining. No staining was detectable for AIF1, GFAP, RBFOX3, and NEFM (all green). (B) Representative micrographs of DsRed2-mito and immunostaining for TSPO (green) with Hoechst (blue) staining. (C) Immunoblotting analysis and quantification of p-PRKAA in cells treated with vehicle (veh) or 10 μM PK11195 (n = 3). (D) Immunoblotting analysis and quantification of TSPO and p-PRKAA in si-scram- or si-Tspo-transfected cells (n = 8 or 9). (E) AMP:ATP ratio in vehicle- or 10 μM PK11195-treated cells determined by using UPLC (n = 5). All differences were not significant (N.S.). (F) Immunoblotting analysis and quantification of p-PRKAA and p-ACAC in cells treated with vehicle or 10 μM PK11195 for 2 h with or without 4 h pretreatment with STO-609 (STO), a CAMKK inhibitor (n = 4). (G) Time course of fluorescence intensity of Fluo-3/AM [Ca2+]cyto in cells treated with vehicle or 10 μM PK11195 (n = 89–139 cells). (H and I) Representative micrographs (H) and time course analysis (I) of Case12-mito and DsRed2-mito for measurement of [Ca2+]mito in cells treated with vehicle or 10 μM PK11195 (n = 89–141 cells). Case12-mito labeling intensity was normalized to that of DsRed2-mito. (J and K) Live imaging for fluorescence-based detection of [Ca2+]cyto (J) and [Ca2+]mito (K) in response to 1 mM ATP in cells pretreated with vehicle or PK11195 (10 nM or 10 μM) for 90 min (n = 11–15 cells from 3 independent experiments). (L and M) Live imaging for fluorescence-based detection of [Ca2+]cyto (L) and [Ca2+]mito (M) in response to 1 mM ATP in si-scram- or si-Tspo-transfected cells (n = 15 or 16 cells from 3 independent experiments). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, and ***P ≤ 0.001 vs. si-scram, vehicle (veh), and PK11195 0 min; #P ≤ 0.05, ##P ≤ 0.01 vs. PK11195, as determined by Student’s t-test.

Inhibition of TSPO activates AMPK by blocking mitochondrial Ca2+ uptake in A2/29 cells. (A) Immunostaining for VIM or NES (green) with Hoechst (blue) staining. No staining was detectable for AIF1, GFAP, RBFOX3, and NEFM (all green). (B) Representative micrographs of DsRed2-mito and immunostaining for TSPO (green) with Hoechst (blue) staining. (C) Immunoblotting analysis and quantification of p-PRKAA in cells treated with vehicle (veh) or 10 μM PK11195 (n = 3). (D) Immunoblotting analysis and quantification of TSPO and p-PRKAA in si-scram- or si-Tspo-transfected cells (n = 8 or 9). (E) AMP:ATP ratio in vehicle- or 10 μM PK11195-treated cells determined by using UPLC (n = 5). All differences were not significant (N.S.). (F) Immunoblotting analysis and quantification of p-PRKAA and p-ACAC in cells treated with vehicle or 10 μM PK11195 for 2 h with or without 4 h pretreatment with STO-609 (STO), a CAMKK inhibitor (n = 4). (G) Time course of fluorescence intensity of Fluo-3/AM [Ca2+]cyto in cells treated with vehicle or 10 μM PK11195 (n = 89–139 cells). (H and I) Representative micrographs (H) and time course analysis (I) of Case12-mito and DsRed2-mito for measurement of [Ca2+]mito in cells treated with vehicle or 10 μM PK11195 (n = 89–141 cells). Case12-mito labeling intensity was normalized to that of DsRed2-mito. (J and K) Live imaging for fluorescence-based detection of [Ca2+]cyto (J) and [Ca2+]mito (K) in response to 1 mM ATP in cells pretreated with vehicle or PK11195 (10 nM or 10 μM) for 90 min (n = 11–15 cells from 3 independent experiments). (L and M) Live imaging for fluorescence-based detection of [Ca2+]cyto (L) and [Ca2+]mito (M) in response to 1 mM ATP in si-scram- or si-Tspo-transfected cells (n = 15 or 16 cells from 3 independent experiments). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, and ***P ≤ 0.001 vs. si-scram, vehicle (veh), and PK11195 0 min; #P ≤ 0.05, ##P ≤ 0.01 vs. PK11195, as determined by Student’s t-test. As AMPK is a well-known master regulator of energy metabolism [45], we posited that AMPK may mediate the effects of TSPO modulation. Indeed, treatment with PK11195 (10 nM-10 μM; 4 h) increased the level of phosphorylated PRKAA (p-PRKAA) in A2/29 cells (Figure S3(b)). Incubation of the cell with 10 μM PK11195 increased it until 8 h (Figure 3C). Furthermore, FGIN-127, another TSPO ligand with a nanomolar binding affinity [46], also activated AMPK in the same range of PK11195 concentrations (Figure S3(c)). To corroborate the effects of pharmacological modulation of TSPO, we genetically inactivated TSPO using small interfering RNAs (siRNAs). Transfection of A2/29 cells with 4 different Tspo siRNAs (si-Tspo) increased the level of p-PRKAA compared to cells transfected with scrambled siRNAs (si-scram) (Figure 3D). The outcome of pharmacological action of TSPO ligands can be both agonistic and antagonistic depending on the cell type and context [47]. Since the effects of PK11195, FGIN-127, and TSPO knockdown were similar, those ligands seem to act as an antagonist for tanycytic TSPO. To identify the upstream modulators of AMPK activation by PK11195, we measured the AMP:ATP ratio in PK11195-treated A2/29 cells. Since PK11195 elicited a significant increase in p-PRKAA from 1 h, the AMP:ATP ratio was measured after treatment for 30 min and 1 h. However, PK11195 had no effect on the AMP:ATP ratio at the tested time points (Figure 3E). Since CAMKK2 (calcium/calmodulin dependent protein kinase kinase 2, beta) activates AMPK in an AMP-independent manner [48], we tested whether CAMKK2 is involved in the activation of AMPK by PK11195. Pretreatment with STO-609, CAMKK inhibitor, blunted AMPK activation by PK11195. Consistent with a reduction in the p-PRKAA level, PK11195-induced increase in phosphorylation of ACAC (acetyl-Coenzyme A carboxylase), one of the downstream targets of p-AMPK, was blocked by STO-609 pretreatment (Figure 3F). CAMKK2 is activated by an increase in intracellular Ca2+ concentration [49]. We hypothesized that PK11195 blocks the uptake of Ca2+ into the mitochondria through TSPO located in the mitochondrial membrane. To assess the effect of PK11195 on the intracellular Ca2+ level, Fluo-3/AM (Fluo-3) and Case12-mito were used to measure cytosolic ([Ca2+]cyto) and mitochondrial Ca2+ ([Ca2+]mito) level, respectively. PK11195 treatment increased [Ca2+]cyto (Figure 3G) and decreased [Ca2+]mito (Figure 3H,I) at 90 min in A2/29 cells. The colocalization of Case12-mito and DsRed2-mito showed that Case12-mito was targeted to mitochondria (Figure 3H). We further investigated whether Ca2+ uptake by mitochondria was inhibited by PK11195 in ATP-induced Ca2+ elevation. Pre-incubation with PK11195 significantly increased [Ca2+]cyto (Figure 3J) and decreased [Ca2+]mito influx (Figure 3K) in response to ATP. Similarly, knockdown of Tspo reduced [Ca2+]mito uptake (Figure 3M), elevating [Ca2+]cyto when ATP is added (Figure 3L). Taken together, these results suggest that the antagonist of TSPO or knockdown of Tspo activates AMPK through elevation of intracellular Ca2+ signaling by blocking the [Ca2+]mito buffering system at both basal and ATP-evoked states.

Tspo knockdown increases autophagy through AMPK activation in A2/29 cells

As a sensor of cellular energy status, AMPK can also induce autophagy to accelerate catabolism [50,51]. We explored the possibility that AMPK activation by TSPO inhibition induces autophagy in A2/29 cells. Western blotting analysis showed that Tspo knockdown increased the phosphorylation level of ULK1 (unc-51 like kinase 1) at Ser555, a target of AMPK for autophagy initiation [52] (Figure 4A). Autophagy induction was also examined by the level of MAP1LC3B/LC3B (microtubule-associated protein 1 light chain 3 beta) and SQSTM1 (sequestosome 1). When autophagy is induced, the MAP1LC3B-I form is converted into MAP1LC3B-II through lipidation [53] and SQSTM1, an autophagy cargo receptor, is degraded [54]. Consistent with activation of AMPK and ULK1, Tspo knockdown increased the MAP1LC3B-II levels and decreased the SQSTM1 levels (Figure 4A). In addition, Tspo knockdown increased the level of BECN1/Beclin 1, which is a downstream target of ULK1 critical for autophagy induction (Figure 4A) [55]. In PK11195-treated cells, the level of P-ULK1, MAP1LC3B-II and BECN1 were also elevated and SQSTM1 was reduced, indicating induction of autophagy by PK11195 (Figure S4(a)). Although PK11195 was reported to act in a TSPO-independent manner under certain circumstances [56-58], the induction of autophagy by PK11195 from the nanomolar range of concentrations in A2/29 cells suggests that the effects of PK11195 are most likely through TSPO under our experimental conditions.
Figure 4.

Knockdown of Tspo induces autophagy through AMPK activation in A2/29 cells. (A) Immunoblotting analysis and quantification of TSPO, p-PRKAA, and autophagy markers in cells transfected with si-scram or si-Tspo (n = 5). (B) Immunoblotting analysis and quantification of SQSTM1, TSPO and MAP1LC3B-II in cells transfected with si-scram or si-Tspo and treated with vehicle or Bafilo (n = 3). (C) Representative micrographs showing decreased expression of TSPO (red) in si-Tspo-transfected cells. (D) The mRFP-GFP-MAP1LC3B assay in cells transfected with si-scram or si-Tspo (n = 30 cells). (E) Representative micrographs of TSPO (green) and LysoTracker (red) with Hoechst (blue) staining in cells transfected with si-scram or si-Tspo. Rapamycin (Rapa) and Bafilo were used to induce autophagy and to prevent lysosomal acidification in si-scram-transfected cells, respectively. Average number and size of LysoTracker puncta per cell were quantified (n = 20 cells). (F) Fluorescence-activated cell sorting analysis showing fluorescence intensity of LysoTracker in cells transfected with si-scram or si-Tspo (n = 4). (G) Representative micrographs and quantification of colocalization for GFP-PRKN (green) and DsRed2-mito (red) with Hoechst (blue) staining in cells transfected with si-scram or si-Tspo. CCCP was used to induce mitochondrial translocation of PRKN in si-scram and si-Tspo-transfected cells (n = 10–12 cells). (H) Immunoblotting analysis and quantification of COX4I1 and MAP1LC3B-II in cells transfected with si-scram or si-Tspo with or without CCCP (n = 3). (I) Immunoblotting analysis and quantification of PRKAA and p-ACAC in sh-scram- or sh-Ampk-expressing cells (n = 6). (J) Immunoblotting analysis and quantification of TSPO, p-PRKAA, and MAP1LC3B-II in sh-scram- or sh-Ampk-expressing cells that were further transfected with si-scram or si-Tspo (n = 3). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, and ***P ≤ 0.001 vs. si-scram, sh-scram or vehicle; ##P ≤ 0.01 and ###P ≤ 0.001 vs. si-Tspo, as determined by Student’s t-test.

Knockdown of Tspo induces autophagy through AMPK activation in A2/29 cells. (A) Immunoblotting analysis and quantification of TSPO, p-PRKAA, and autophagy markers in cells transfected with si-scram or si-Tspo (n = 5). (B) Immunoblotting analysis and quantification of SQSTM1, TSPO and MAP1LC3B-II in cells transfected with si-scram or si-Tspo and treated with vehicle or Bafilo (n = 3). (C) Representative micrographs showing decreased expression of TSPO (red) in si-Tspo-transfected cells. (D) The mRFP-GFP-MAP1LC3B assay in cells transfected with si-scram or si-Tspo (n = 30 cells). (E) Representative micrographs of TSPO (green) and LysoTracker (red) with Hoechst (blue) staining in cells transfected with si-scram or si-Tspo. Rapamycin (Rapa) and Bafilo were used to induce autophagy and to prevent lysosomal acidification in si-scram-transfected cells, respectively. Average number and size of LysoTracker puncta per cell were quantified (n = 20 cells). (F) Fluorescence-activated cell sorting analysis showing fluorescence intensity of LysoTracker in cells transfected with si-scram or si-Tspo (n = 4). (G) Representative micrographs and quantification of colocalization for GFP-PRKN (green) and DsRed2-mito (red) with Hoechst (blue) staining in cells transfected with si-scram or si-Tspo. CCCP was used to induce mitochondrial translocation of PRKN in si-scram and si-Tspo-transfected cells (n = 10–12 cells). (H) Immunoblotting analysis and quantification of COX4I1 and MAP1LC3B-II in cells transfected with si-scram or si-Tspo with or without CCCP (n = 3). (I) Immunoblotting analysis and quantification of PRKAA and p-ACAC in sh-scram- or sh-Ampk-expressing cells (n = 6). (J) Immunoblotting analysis and quantification of TSPO, p-PRKAA, and MAP1LC3B-II in sh-scram- or sh-Ampk-expressing cells that were further transfected with si-scram or si-Tspo (n = 3). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, and ***P ≤ 0.001 vs. si-scram, sh-scram or vehicle; ##P ≤ 0.01 and ###P ≤ 0.001 vs. si-Tspo, as determined by Student’s t-test. The autophagy flux in Tspo knockdown cells was examined by assessing changes in SQSTM1 and MAP1LC3B-II levels using bafilomycin A1 (Bafilo). Bafilo prevents fusion between the autophagosome and lysosome, thereby impairing autophagy flux and degradation of the substrates [59]. More accumulation of SQSTM1 and MAP1LC3B-II after than before Bafilo treatment reflects increased autophagy flux. Tspo knockdown increased autophagy flux, as evidenced by a further increase in SQSTM1 and MAP1LC3B-II by Bafilo treatment in Tspo knockdown cells, compared with Tspo knockdown only (Figure 4B). In addition, the mRFP-GFP- MAP1LC3B fluorescent puncta assay also revealed an increase in autophagy flux in Tspo knockdown (Figure 4C,D) and PK11195 treated cells (Figure S4(b)). Because GFP is less stable than RFP in an acidic environment, the autophagy flux can be assessed by counting yellow puncta (autophagosomes) and red puncta (autolysosomes) [60]. The MTOR (mechanistic target of rapamycin kinase) inhibitor rapamycin (20 μM) was used as a positive control to induces autophagy (Figure S4(b)). The numbers of total and red puncta were significantly increased by Tspo knockdown (Figure 4D) and PK11195 (Figure S4(b)), indicating an increased autophagy flux. To further verify autophagy induction, we also used LysoTracker DND Red (LysoTracker), acidic PH-sensitive fluorescence dye staining lysosomes, since it has been used to label acidic autophagic compartments [61]. Fluorescence images showed significant increase in the number and size of LysoTracker-positive lysosomes in Tspo knockdown and rapamycin treatment, demonstrating increased acidification of lysosomes (Figure 4E). In addition, fluorescence-activated cell sorting analysis represented similar increase in lysosome numbers (Figure 4F). The treatment of Bafilo abolishing lysosomal acidification diminished LysoTracker-stained signal (Figure 4E,F). As the aberrant [Ca2+]mito buffering system induces mitochondrial autophagy (mitophagy) [62], we tested whether mitophagy would be induced by Tspo knockdown. One important mitophagy pathway involves the translocation of the PRKN/Parkin (parkin RBR E3 ubiquitin protein ligase) from the cytosol to damaged mitochondria [63]. To observe recruitment of PRKN to mitochondria in Tspo knockdown cells, si-scram- and si-Tspo-transfected cells were transfected with GFP-PRKN and DsRed2-mito. The mitochondrial uncoupler carbonyl cyanide m-chlorophenylhydrazone (CCCP) was used as a positive control for mitophagy induction. As expected, CCCP treatment induced translocation of GFP-PRKN to mitochondria. However, the cytosolic distribution of GFP-PRKN was not affected by Tspo knockdown in the presence and absence of CCCP (Figure 4G). Consistently, the protein level of COX4I1 (cytochrome c oxidase subunit 4I1), a mitochondrial marker protein, was decreased by CCCP but not changed by knockdown of Tspo (Figure 4H), indicating that reduction of Tspo expression does not cause mitophagy in A2/29 cells. Next, to ascertain whether Tspo knockdown-induced autophagy occurs in an AMPK-dependent manner, Prkaa1/Ampkα1 (protein kinase, AMP-activated, alpha 1 catalytic subunit) and Prkaa2/Ampkα2 (protein kinase, AMP-activated, alpha 2 catalytic subunit) expression was knocked down in A2/29 cells by using lentivirus-mediated delivery of 4 (2 for each subunit) different short hairpin RNAs targeting Ampk (sh-Ampk). Compared to A2/29 cells infected with lentivirus expressing a non-targeting sh-RNA sequence (sh-scram), sh-Ampk-transfected cells had lower total AMPK and p-ACAC levels (Figure 4I). The effect of a decrease in TSPO on the induction of autophagy was abolished by Ampk knockdown (Figure 4J). Taken together, these data demonstrate that Tspo knockdown induces autophagy in an AMPK-dependent manner in A2/29 cells.

Tspo knockdown induces lipophagy and generates free fatty acids in A2/29 cells

As lipids are abundant and enzymes related to lipid metabolism are highly expressed in tanycytes [64], we hypothesized that Tspo knockdown–induced autophagy targets LDs, leading to lipophagy. Since LDs contain triglyceride (TG) and esterified cholesterol, their degradation by autophagy is expected to generate FFAs and cholesterol [30]. Consistent with our hypothesis, our metabolites analysis demonstrated that levels of FFAs and cholesterol were increased but TG was decreased without a change in amino acids in Tspo knockdown cells (Figure S5(a-d)), which suggests LDs as a main target of autophagy. To visualize LDs in Tspo knockdown cells, we stained LDs with BODIPY 493/503 (BODIPY). As expected, Tspo knockdown decreased the number and size of LDs (Figure 5A). A lipid challenge activates lipophagy that preferentially sequesters LDs [27]. In the presence of oleic acid (OL; 0.06 mM; 4 h), which was added to increase the formation of LDs, Tspo knockdown resulted in a marked increase in LDs degradation, confirming lipophagy (Figure 5A). Although some levels of lipid degradation may occur by bulky autophagy, these data suggest that Tspo knockdown-induced autophagy preferentially targets LDs, leading to lipophagy. On the other hand, localization of GFP-PRKN into the mitochondria (Figure S6(a)) and the level of COX4I1 (Figure S6(b)) were not affected by Tspo knockdown or OL treatment, indicating ablation of Tspo or accumulation of LDs is not related to the regulation of mitophagy in A2/29.
Figure 5.

Knockdown of Tspo generates free fatty acids by lipophagy in A2/29 cells. (A) Representative micrographs of BODIPY (green) in si-scram- or si-Tspo-transfected A2/29 cells with or without Bafilo or OL. Average number and size of LDs per cell were quantified (n = 14–21 cells). (B and C) Representative micrographs and quantification of colocalization for BODIPY (green) and LAMP2 (red; B) or mRFP-MAP1LC3B (red; C) in si-scram- or si-Tspo-transfected cells with or without Bafilo and OL (n = 11–16 cells). (D) Heatmap and box–whisker plot of free fatty acids analyzed by targeted GC-MS/MS metabolomics of si-scram- or si-Tspo-transfected cells with OL and with or without pre-transfection with si-Atg5 (n = 4). (E) Immunoblotting analysis and quantification of ATG5, TSPO, and MAP1LC3B-II in si-scram- or si-Tspo-transfected cells with OL and with or without pre-transfection with si-Atg5 (n = 3). (F) Cellular ATP level in si-scram- or si-Tspo-transfected cells with OL and with or without pre-transfection with si-Atg5 (n = 16). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001 vs. si-scram; #P ≤ 0.05, ##P ≤ 0.01, ###P ≤ 0.001 vs. si-Tspo; †P ≤ 0.05, ††P ≤ 0.01, †††P ≤ 0.001 vs. si-scram+OL; §P ≤ 0.05, §§P ≤ 0.01, §§§P ≤ 0.001 vs. si-Tspo+OL, as determined by Student’s t-test.

Knockdown of Tspo generates free fatty acids by lipophagy in A2/29 cells. (A) Representative micrographs of BODIPY (green) in si-scram- or si-Tspo-transfected A2/29 cells with or without Bafilo or OL. Average number and size of LDs per cell were quantified (n = 14–21 cells). (B and C) Representative micrographs and quantification of colocalization for BODIPY (green) and LAMP2 (red; B) or mRFP-MAP1LC3B (red; C) in si-scram- or si-Tspo-transfected cells with or without Bafilo and OL (n = 11–16 cells). (D) Heatmap and box–whisker plot of free fatty acids analyzed by targeted GC-MS/MS metabolomics of si-scram- or si-Tspo-transfected cells with OL and with or without pre-transfection with si-Atg5 (n = 4). (E) Immunoblotting analysis and quantification of ATG5, TSPO, and MAP1LC3B-II in si-scram- or si-Tspo-transfected cells with OL and with or without pre-transfection with si-Atg5 (n = 3). (F) Cellular ATP level in si-scram- or si-Tspo-transfected cells with OL and with or without pre-transfection with si-Atg5 (n = 16). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001 vs. si-scram; #P ≤ 0.05, ##P ≤ 0.01, ###P ≤ 0.001 vs. si-Tspo; †P ≤ 0.05, ††P ≤ 0.01, †††P ≤ 0.001 vs. si-scram+OL; §P ≤ 0.05, §§P ≤ 0.01, §§§P ≤ 0.001 vs. si-Tspo+OL, as determined by Student’s t-test. Degradation of LDs was blocked by Bafilo, suggesting that the decrease in LD contents in si-Tspo-transfected cells was caused by lipophagy-mediated degradation (Figure 5A). To further examine whether lipophagy is induced, we measured the colocalization of BODIPY and LAMP2 (lysosomal associated membrane protein 2; lysosomal marker). Tspo knockdown significantly increased BODIPY-LAMP2 colocalization in both the presence and absence of OL, whereas treatment with Bafilo decreased localization of LDs in lysosomes because the autophagosome–lysosome fusion was blocked (Figure 5B). Colocalization between BODIPY and MAP1LC3B puncta was also increased by Tspo knockdown, indicating increased localization of LDs in autophagosomes or autolysosomes (Figure 5C). Treatment with Bafilo increased BODIPY-MAP1LC3B colocalization, showing that LDs remained in autophagosomes due to blockade of autophagy (Figure 5C)). FFAs generated by LDs breakdown through lipophagy can be used to generate ATP via fatty acid oxidation [27-29]. To determine whether lipophagy induced by Tspo knockdown produces FFAs, we used targeted metabolic profiling using gas chromatography-mass spectrometry (GC-MS/MS) to analyze FFAs under OL treatment (Figure 5D). Tspo knockdown increased the content of various intracellular FFAs, and this effect was significantly abolished by a double knockdown of Atg5 (autophagy related 5) and Tspo, indicating that FFA production was mediated by lipophagy (Figure 5D). Western blotting analysis confirmed an efficient knockdown of Tspo and Atg5 by si-RNA transfection, and the changes in the MAP1LC3B-II levels correlated with autophagy status (Figure 5E). To verify that increased FFA content is linked to higher energy production, we analyzed the intracellular ATP content under OL treatment. Reduced TSPO expression was sufficient to increase ATP production, which was reversed by the double knockdown of Atg5 and Tspo (Figure 5F). Taken together, the above data indicate that the knockdown of Tspo facilitates lipid degradation and ATP production through lipophagy in A2/29 cells.

Tanycyte-specific ablation of Tspo prevents obesity in diet-induced obese mice

To delineate the in vivo effect of tanycyte-specific ablation of Tspo on the regulation of energy balance, we generated tanycyte-specific Tspo-deficient mice. Adeno-associated virus expressing Cre recombinase and GFP under the control of the Rax promoter (AAV-Rax-Cre-GFP) was injected into the 3V of 6-week-old male Tspo floxed (Tspo) mice (hereafter referred to as Rax-TSPO-KO mice). As controls, we used littermates that received AAV-Rax-GFP (hereafter referred to as Rax-control mice). Three weeks after AAVs injection, mice were fed NCD or HFD for 4 weeks (Figure 6A). Since Rax expression in ventral tanycytes is higher in adult than in young mice [65], AAV-Rax-Cre-GFP deleted Tspo specifically in medioventral (Figure 6B) and posteroventral tanycytes (Figure S7(a)) near the ARC, including ventral α1, β1, and β2-tanycytes. On the other hand, Tspo in dorsal α1-tanycytes near the VMH (Figure S7(b)) and ependymal cells (Figure S7(c)) was not ablated. Rax-TSPO-KO mice showed GFP signals in the nuclei of tanycytes, and the expression of TSPO was dramatically reduced in GFP-expressing VIM-positive tanycytes, whereas robust TSPO expression and GFP signals were detected in the cytoplasm of tanycytes in Rax-control mice (Figure 6C).
Figure 6.

Ablation of Tspo in tanycytes decreases food intake and increases energy expenditure in HFD-fed mice. (A) Strategy to generate conditional tanycyte-specific Tspo knockout mice by viral injection of AAV-Rax-Cre-GFP into the 3V in Tspo mice. (B) Immunostaining for TSPO (red) and VIM (magenta) with Hoechst (blue) staining in GFP-positive ventral tanycytes of AAV-Rax-Cre-GFP-injected Tspo mice. (C) High-magnification micrographs showing GFP (green), Hoechst (blue), and TSPO (red) in ventral tanycytes of Tspo mice injected with AAV-Rax-Cre-GFP or AAV-Rax-GFP. (D–K) Body weight change (D), accumulated food intake (E), RER (F), VCO2 (G), VO2 (H), heat production (I), XTOT (J), and ZTOT (K) of Tspo mice fed HFD for 4 weeks after injection with AAV-Rax-Cre-GFP or AAV-Rax-GFP into the 3V (n = 9). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001 vs. AAV-Rax-GFP, as determined by two-way ANOVA (D and E) or Student’s t-test (F-I).

Ablation of Tspo in tanycytes decreases food intake and increases energy expenditure in HFD-fed mice. (A) Strategy to generate conditional tanycyte-specific Tspo knockout mice by viral injection of AAV-Rax-Cre-GFP into the 3V in Tspo mice. (B) Immunostaining for TSPO (red) and VIM (magenta) with Hoechst (blue) staining in GFP-positive ventral tanycytes of AAV-Rax-Cre-GFP-injected Tspo mice. (C) High-magnification micrographs showing GFP (green), Hoechst (blue), and TSPO (red) in ventral tanycytes of Tspo mice injected with AAV-Rax-Cre-GFP or AAV-Rax-GFP. (D–K) Body weight change (D), accumulated food intake (E), RER (F), VCO2 (G), VO2 (H), heat production (I), XTOT (J), and ZTOT (K) of Tspo mice fed HFD for 4 weeks after injection with AAV-Rax-Cre-GFP or AAV-Rax-GFP into the 3V (n = 9). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001 vs. AAV-Rax-GFP, as determined by two-way ANOVA (D and E) or Student’s t-test (F-I). From 2 weeks of HFD feeding, weight gain and food intake were significantly lower in Rax-TSPO-KO than in Rax-control mice (Figure 6D,E). However, Rax-TSPO-KO mice did not show changes in these parameters under NCD feeding (Figure S7(d,e)). In addition, RER, VO2 and VCO2 rates, and heat production were increased in HFD-fed Rax-TSPO-KO mice during the dark cycle (Figure 6F–I), whereas locomotor activity was not changed (Figure 6J,K). The glucose tolerance and INS (insulin) tolerance were not different between Rax-TSPO-KO and Rax-control mice in HFD feeding (Figure S7(f,g)). Taken together, these data suggest that tanycyte-specific ablation of Tspo reduces appetite and stimulates energy expenditure under overfat condition.

Inhibition of TSPO induces lipophagy through AMPK activation in tanycytes in vivo

We next investigated whether lean phenotypes in PK11195-injected or Rax-TSPO-KO mice are accompanied by lipophagy in tanycytes in vivo. Since PK11195 reduced food intake and elevated energy expenditure under both NCD and HFD feeding (Figure 2), we evaluated PK11195-induced AMPK activation in tanycytes of mice fed NCD. The colocalization of p-PRKAA and VIM was significantly increased in tanycytes by PK11195 (Figure 7A). In contrast, the level of p-PRKAA in microglia was not increased by PK11195 (Figure S8), indicating that AMPK is activated by PK11195 in tanycytes rather than microglia. We further verified whether AMPK is required for PK11195-induced autophagy using compound C, an AMPK inhibitor. Compound C blunted PK11195-induced elevation of p-PRKAA, P-ULK1, MAP1LC3B-II, and ATG7 (autophagy related 7) (Figure 7B). This result is indicative of AMPK-dependent autophagy induction by PK11195 in the hypothalamus.
Figure 7.

Intracerebroventricular (ICV) injection of PK11195 or ablation of Tspo induces lipophagy in tanycytes. (A) Representative micrographs and quantification of colocalization for p-PRKAA (red) and VIM (green) in ventral tanycytes of PK11195- or vehicle-injected mice fed NCD (n = 18 sections/3 mice). (B) Immunoblotting analysis and quantification of p-PRKAA and autophagy markers in the hypothalamus after ICV injection of PK11195 (PK), compound C (CC), or vehicle into the 3V of mice fed NCD (n = 6). (C) Immunostaining for LAMP2 (red) and VIM (magenta) with BODIPY (green) and Hoechst (blue) staining in ventral tanycytes of mice fed NCD with or without injection of PK11195 or OL, or fed HFD with or without PK11195. Average number and size of LDs per cell and colocalization of BODIPY and LAMP2 (white) were quantified (n = 15 sections/3 mice). (D–F) Tspo mice were injected with AAV-Rax-Cre-GFP or AAV-Rax-GFP and fed HFD for 4 weeks. (D and E) Immunostaining for p-PRKAA (red; D) or MAP1LC3B (red; E), and VIM (magenta) in GFP+-tanycytes. Colocalization of p-PRKAA and VIM (white) was quantified (D; n = 9 sections/3 mice). Aaverage number of MAP1LC3B puncta in the cytosol (arrowhead) was also quantified (E; n = 58–72 cells/3 mice). (F) Immunostaining for TSPO (red) and VIM (magenta) with BODIPY (green) and Hoechst (blue) staining in ventral tanycytes. Average number and size of LDs per cell were quantified (n = 88 or 89 cells/3 mice). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001 vs. PK11195, (NCD) vehicle, or AAV-Rax-GFP; ###P ≤ 0.001 vs. (NCD) OL; ††P ≤ 0.01, †††P ≤ 0.001 vs. (HFD) vehicle, as determined by Student’s t-test.

Intracerebroventricular (ICV) injection of PK11195 or ablation of Tspo induces lipophagy in tanycytes. (A) Representative micrographs and quantification of colocalization for p-PRKAA (red) and VIM (green) in ventral tanycytes of PK11195- or vehicle-injected mice fed NCD (n = 18 sections/3 mice). (B) Immunoblotting analysis and quantification of p-PRKAA and autophagy markers in the hypothalamus after ICV injection of PK11195 (PK), compound C (CC), or vehicle into the 3V of mice fed NCD (n = 6). (C) Immunostaining for LAMP2 (red) and VIM (magenta) with BODIPY (green) and Hoechst (blue) staining in ventral tanycytes of mice fed NCD with or without injection of PK11195 or OL, or fed HFD with or without PK11195. Average number and size of LDs per cell and colocalization of BODIPY and LAMP2 (white) were quantified (n = 15 sections/3 mice). (D–F) Tspo mice were injected with AAV-Rax-Cre-GFP or AAV-Rax-GFP and fed HFD for 4 weeks. (D and E) Immunostaining for p-PRKAA (red; D) or MAP1LC3B (red; E), and VIM (magenta) in GFP+-tanycytes. Colocalization of p-PRKAA and VIM (white) was quantified (D; n = 9 sections/3 mice). Aaverage number of MAP1LC3B puncta in the cytosol (arrowhead) was also quantified (E; n = 58–72 cells/3 mice). (F) Immunostaining for TSPO (red) and VIM (magenta) with BODIPY (green) and Hoechst (blue) staining in ventral tanycytes. Average number and size of LDs per cell were quantified (n = 88 or 89 cells/3 mice). Data are mean ± SEM, *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001 vs. PK11195, (NCD) vehicle, or AAV-Rax-GFP; ###P ≤ 0.001 vs. (NCD) OL; ††P ≤ 0.01, †††P ≤ 0.001 vs. (HFD) vehicle, as determined by Student’s t-test. We examined the effect of PK11195 on LD degradation in ventral tanycytes under normal or LD-rich conditions in NCD-fed mice. Injection of OL into the 3V for 4 h significantly increased both the average size and number of LDs in tanycytes (Figure 7C). Injection of PK11195 decreased both the average size and number of LDs in ventral tanycytes regardless of OL injection (Figure 7C). The colocalization of BODIPY and LAMP2 in the absence or presence of OL was also increased in PK11195-injected ventral tanycytes of NCD-fed mice (Figure 7C). In addition, an elevated number of LDs observed in mice fed HFD for 4 weeks was efficiently reduced by PK11195, with an increase in BODIPY/LAMP2 colocalization in ventral tanycytes, similarly to NCD-fed mice (Figure 7C)). Consistent with the results from PK11195-injected mice, Rax-TSPO-KO mice had negative energy balance upon HFD feeding (Figure 6D–K). Immunostaining showed increased p-PRKAA levels in tanycytes of Rax-TSPO-KO mice fed HFD for 4 weeks (Figure 7D). In line with the in vitro results, tanycyte-specific ablation of Tspo increased the number of MAP1LC3B puncta (Figure 7E) and decreased the number and size of LDs (Figure 7F) in tanycytes, indicating induction of lipophagy. Collectively, our in vivo data show that pharmacological and genetic inhibition of TSPO in tanycytes drives lipophagy by activating AMPK.

Discussion

Tanycytes are emerging as a key player in the hypothalamic network that controls feeding and energy balance, as they are a key component of brain-endocrine interaction. However, further studies are warranted to understand how tanycytes elicit the responses to a variety of environmental changes such as overnutrition and what their regulatory mechanisms are. In this study, we report TSPO inhibition-mediated AMPK-dependent lipophagy as a novel mechanism by which tanycytes regulate feeding and energy expenditure in fat-rich conditions.

Lipophagy in tanycytes

Our knowledge of lipid metabolism in tanycytes is relatively poor, compared to the understanding of nutritional signals such as glucose. Tanycytes might be a potentially important cell type in hypothalamic lipid metabolism. Tanycytes have the gating function for the uptake of both saturated and unsaturated FFAs for lipid processing and exchange in the hypothalamus [66]. In our in vivo experiments, HFD significantly increased the number and size of LDs in tanycytes, confirming the lipid storage capacity of tanycytes [66]. Interestingly, LDs are detected mostly in ependymal cells and tanycytes within the hypothalamus, but rarely in other parenchymal regions of mice fed NCD or HFD. LDs not only store lipid precursors but also supply the cell with FFAs for functions related to energy demand [67]. However, it is not known how LDs are further metabolized once they are stored in tanycytes. Our metabolomics data showed that Tspo knockdown elevated the levels of both saturated and unsaturated FFAs, whereas inhibition of autophagy reversed these effects, indicating lipophagy-mediated generation of FFAs. In line with the notion that FFAs generated via lipophagy are used for energy production in the mitochondria [68], we observed that the ATP level was increased by Tspo knockdown. Thus, we suggest that TSPO can be a regulator of lipid storage and degradation for maintaining cellular lipid metabolism in tanycytes.

Tanycytic TSPO is a regulator of lipophagy

While the expression and function of TSPO in activated microglia, immune cells resident in the CNS, have been well documented in relation to neuronal injury and neuroinflammation [20-22,69], the role of TSPO in other glial cells in the CNS remains poorly defined. Of note, the TSPO expression level is much higher in tanycytes than in microglia of the mouse hypothalamus at basal state, as shown in this study. Whilst the knockdown of Tspo was reported to increase mitophagy induced by mitochondria uncoupler treatment in mouse embryonic fibroblasts (MEFs) or canine mammary gland epithelia (CF35) [70], we observed an induction of lipophagy, not mitophagy by Tspo knockdown. Distinct outcomes of Tspo knockdown (mitophagy vs. lipophagy) may be due to differences in cell type and stimulus (uncoupler vs. metabolic stimulus). Although further study will be required to understand the related regulatory mechanisms, our results unveil a previously unknown role of TSPO in lipid metabolism through lipophagy, by which TSPO regulates energy homeostasis and fat storage in tanycytes under HFD conditions.

Mechanism underlying lipophagy induced by TSPO inhibition: blockade of mitochondrial Ca2+ uptake and AMPK-dependent autophagy

In this study, PK11195, the best characterized TSPO ligand, and knockout/knockdown of Tspo gene were used to modulate TSPO in tanycytes and tanycyte-like cells. PK11195 has a nanomolar affinity in binding to TSPO [71,72], and both 10 nM and 10 μM PK11195 similarly activated AMPK and autophagy via inhibiting Ca2+ influx of mitochondria, and those effects were corroborated by knockdown of TSPO in A2/29. Thus, it suggests that the action of PK11195 is specifically mediated by TSPO as an antagonist. There are reports that micromolar concentrations of PK11195 show side effects, such as activation of apoptosis in a TSPO-independent manner in several cancer cell lines [57,58]. One interesting paper suggested that 10 μM PK11195 increased [Ca2+]cyto and [Ca2+]mito levels by elevating Ca2+ release from ER probably through BCL2 family proteins or their interactors, attributing to induction of apoptosis [73]. Under our experimental conditions, however, either 10 nM or 10 μM PK11195 did not alter the levels of BCL2 family proteins or affect cell viability (data not shown). Therefore, unlike the reports in cancer cells, PK11195 does not trigger the side effects such as apoptosis in tanycytes. In this study, 1 mM ATP was applied to spike [Ca2+]cyto. ATP at this concentration can mobilize Ca2+ through not only G-protein-coupled receptor family [74,75], but also ligand-gated ionotrophic family [76,77]. As of yet, it has not been known which pathway is activated by 1 mM ATP in A2/29. Our results showed that PK11195 decreased [Ca2+]mito and increased [Ca2+]cyto levels in the absence ATP. Furthermore, both PK11195 and knockdown of TSPO blocked the uptake of mitochondrial Ca2+ and elevated [Ca2+]cyto in the presence of ATP. These data suggest that PK11195 reduces [Ca2+]mito levels regardless of Ca2+ mobilizer and the increased [Ca2+]cyto level is probably due to decreased mitochondrial Ca2+ buffering capacity in A2/29. Although the role of neuronal AMPK or autophagy within the hypothalamus has been highlighted [38,50], tanycytic AMPK or autophagy has not been studied yet. Here, we demonstrated that tanycytes contain the machinery for lipophagy and that TSPO inactivation induced lipophagy through AMPK activation. As an underlying mechanism, we revealed that TSPO inactivation blocked the uptake of Ca2+ into mitochondria, thereby increasing [Ca2+]cyto levels. This increase activated AMPK through CAMKK2. In line with our results, treatment of HT-29 cells with PK11195 increases the release of [Ca2+]mito, elevating [Ca2+]cyto levels [78]. In addition, the TSPO ligand hemin decreases the uptake of Ca2+ into mitochondria and increases release of [Ca2+]mito in the rat heart when exogenous Ca2+ is applied [79]. Our results suggest that TSPO maintains and tunes the intracellular Ca2+ level by controlling [Ca2+]mito buffering capacity in tanycytes. On the contrary, one study has shown that overexpression of TSPO inhibits [Ca2+]mito uptake induced by increased phosphorylation of VDAC1 (voltage dependent anion channel 1) in diverse mammalian cells such as MEFs, HeLa cells, CF35 cells, a microglial cell line (BV2), and primary rat microglia cultures [80]. The opposite role of TSPO on the regulation of [Ca2+]mito homeostasis is probably due to different interacting molecules or binding partners depending on the physiological states or cell types, thereby leading to different actions of TSPO. As such, overexpression of TSPO increases the interaction with VDAC1 and elevates ROS levels in MEFs and CF35 cells [70], while overexpression of TSPO suppresses the expression of VDAC1 leading to a decrease in ROS production in endothelial cells [81,82], suggesting that TSPO may act in a context-dependent manner.

Inhibition of tanycytic TSPO induces negative energy balance

Genetic deletion of Tspo in ventral tanycytes prevented obesity induced by HFD by reducing food intake and increasing energy expenditure. Furthermore, acute ICV injection of PK11195 into the 3V resulted in temporal improvement of energy metabolism by decreasing food intake and elevating energy expenditure in mice fed NCD or HFD. A previous study reported that intraperitoneal injection of PK11195 improves glucose tolerance and reduces pathology of obesity induced by HFD without changes in appetite or locomotor activity [83], suggesting that PK11195 affects peripheral energy metabolism. However, the role of TSPO in central energy metabolism has not yet been explored. Tanycytes are suggested to have regulatory functions on appetite and energy balance via interaction with hypothalamic neurons [6,84], which control energy expenditure, glucose and lipid metabolism in peripheral tissues via the autonomic nervous system [85,86]. TSPO mediated-alteration in lipid metabolism in tanycytes may potentially trigger signal transduction from tanycytes to hypothalamic neurons, regulating the activity or function of those neurons. Notably, our work shows that metabolic changes induced by ICV injection of PK11195 were correlated with a reduced expression of orexigenic neuropeptides Agrp and Npy in both NCD- and HFD-fed mice. Since mature AGRP-expressing neurons do not express TSPO in the ARC (Figure S1(c)), these results implicate the alteration of cellular metabolism by modulation of tanycytic TSPO is involved, directly or indirectly, in the regulation of gene expression of orexigenic neuropeptides in ARC neurons. Thus, it is likely that the improvement of energy metabolism by inhibition of tanycytic TSPO occurs via transport of intermediate metabolites from tanycytes to neurons. Ventral tanycytes extend long basal processes onto neurons located in the ARC and ME and transfer paracrine factors such as lactate or ATP released from tanycytes to neurons [7,87,88]. One study has demonstrated that AGRP neurons are inactivated by an increased level of adenosine, which is produced from ATP extracellularly [89]. Based on our data showing elevated ATP generation through lipophagy in Tspo-deficient cells, we assume that ATP production and release from tanycytes following TSPO inhibition may decrease the activity of orexigenic neurons. As a result, tanycyte-derived ATP may decrease food intake and increase energy expenditure by sending an overnutrition signal that restores systemic energy balance in peripheral tissues including adipose tissue. It will be interesting to investigate whether ATP produced by lipophagy in tanycytes with specific ablation of Tspo is released and regulates neuronal activities for future studies.

Conclusion

In this study, we describe the role of tanycytic TSPO in regulation of cellular lipids and energy metabolism in response to overnutrition. In the context of a large supply of lipids, normally TSPO may block fat catabolism regulated by autophagy through maintaining intracellular Ca2+ homeostasis, resulting in fat preservation. TSPO inactivation in tanycytes increases the use of fat by AMPK-induced lipophagy, which overcomes energy surplus and improves the obese phenotype. The delineation of the role of tanycytic TSPO in the regulation of autophagy may help understanding the functions of tanycytes and highlights the importance of targeting tanycytic TSPO as a potential therapeutic strategy for metabolic diseases such as obesity.

Materials and methods

Mice

Male C57BL/6 mice at 4–7 weeks of age were purchased from Koatech (South Korea). Tspo-heterofloxed (Tspo) mice (C57BL/6J background) were purchased from The Jackson Laboratory (024976). The Tspo mice were crossed to generate Tspo-homofloxed (Tspo) mice. Mice were sacrificed by cervical dislocation and part of the hypothalamus including ARC was quickly dissected and frozen in liquid nitrogen. Mice were maintained in specific-pathogen-free conditions in individually ventilated cages (one mouse per cage) under a 12-h light/dark cycle (lights on from 7:00 to 19:00) at 23 ± 3°C and humidity controlled at 50 ± 10%) with ad libitum access to water and NCD (12% kcal from fat; Lab Supply, 5053) or HFD (60% kcal from fat; Envigo, 06414). All animal studies followed National Institutes of Health guidelines and were approved by the Institutional Animal Care and Use Committee at the DGIST Laboratory Animal Resource Center.

Cell culture

The A2/29 (CLU189) cell line was purchased from Cellutions Biosystems and grown in DMEM (Sigma-Aldrich, D5796) supplemented with 10% fetal bovine serum (Hyclone Laboratories, SH30919.03) and 1% penicillin-streptomycin (Hyclone Laboratories, SV30010) at 37°C. PK11195 (Sigma-Aldrich, C0424) and FGIN-127 (TOCRIS, 0658) were dissolved in 100% ethanol and DMSO, respectively, to 20 mM and stored at – 20°C. Cells were treated with PK11195 or FGIN-127 (10 nM–10 μM) to block TSPO. STO-609 (5 μg/ml; Sigma-Aldrich, S1318) was used for blocking CAMKK2. To induce mitophagy, cells were treated with 100 nM CCCP (Sigma-Aldrich, C2759). To inhibit autophagy, 20 nM Bafilo (Sigma-Aldrich, B1793) was used. To induce autophagy, 20 μM rapamycin (Enzo Life Science, BML-A275) was used for treatment. To increase formation of LDs in cells, 0.06 mM oleic acid sodium salt (OL; Sigma-Aldrich, O7501) was added.

Antibodies

We used the antibodies against the following proteins: TSPO (ab109497), AIF1/IBA1 (ab5076), MAP2 (ab5392), and COX4I1 (Ab14744) from Abcam; VIM/vimentin (AB5733), RBFOX3/NeuN (MAB377), and GFAP (MAB360) from Millipore; NES/nestin (NB100-1604) and NEFM/NFM (NBP2-46,618) from Novus Biologicals; LAMP2 (L0668), MAP1LC3B/LC3B (L8918), SQSTM1 (P0067), and ATG7 (A2856) from Sigma-Aldrich; AGRP (AF634) from R&D Systems; p-PRKAA/p-AMPKα (Thr172, 2535), PRKAA/AMPKα (2532), p-ACAC (Ser79, 3661), ACAC (3662), p-ULK1 (Ser555, 5869), ULK1 (8054), BECN1/Beclin1 (3738), and GAPDH (2118) from Cell Signaling Technology The following secondary antibodies were used: Cy3-conjugated anti-rabbit IgG (Jackson ImmunoResearch, 711–165-152), Alexa488-conjugated anti-rabbit (Thermo Fisher Scientific, A-11,008), Alexa488-conjugated anti-mouse (Jackson ImmunoResearch, 715–545-150), Alexa488-conjugated anti-goat (Molecular Probes, A-11,055), Alexa488-conjugated anti-chicken IgG (Jackson ImmunoResearch, 703–545-155). Alexa647-conjugated anti-chicken IgG (Jackson ImmunoResearch, 703–545-155), and horse radish peroxidase-conjugated anti-rabbit (Thermo Fisher Scientific, NCI460KR) and anti-mouse (Cell Signaling Technology, 7076) antibodies.

3rd ventricle (3V) cannulation

Male C57BL/6 mice were acclimated for 1 week and were anesthetized with an intraperitoneal injection of a mixture of Zoletil 50 (30 mg kg−1 bodyweight; Virbac) and Rompun (10 mg kg−1 bodyweight; Bayer Korea) in NaCl (0.9%). After the loss of reflexes, animals were fixed in a stereotaxic frame (David Kopf Instruments, Tujunga, CA, USA). A small hole was made in the skull using a dental drill and a 26-gauge guide cannula (Plastics One) was implanted into the 3V (1.3 mm posterior to the bregma, 5.2 mm below the bregma). The guide cannula was secured to the skull with dental cement (Dentsply, LAD010) and covered with a dust cap (Plastics One).

Intracerebroventricular (ICV) injection

Mice were fed HFD from 5 to 9 weeks of age to simulate diet-induced obesity. Cannulation was performed at the age of 8 weeks in both HFD- and NCD-fed mice. After 1-week recovery period, mice were administered 2 μl of PK11195 (2 nmoles diluted in 2% ethanol) or vehicle into the 3V 1 h before the beginning of the dark cycle. After PK11195 ICV injection, food consumption and body weight changes were measured up to 24 h. To determine relative mRNA expression, the hypothalami were harvested 6 h after injection. To confirm AMPK-mediated autophagy in tanycytes, 2 μl of PK11195 (2 nmole) and compound C (200 nmole; Calbiochem, 171,260) were injected into the 3V 1 h before the beginning of the dark cycle, and the hypothalami were collected 4 h later for western blotting assay. To assess the LD contents in tanycytes, mice received 2 μl of OL (34 mM) dissolved in 40% hydroxypropyl-β-cyclodextrin (Sigma-Aldrich, H107) through the implanted cannula 1 h before the beginning of the dark cycle and were sacrificed 4 h after ICV injection for immunohistochemical analysis.

Genotyping

Tspo mice were labeled by ear punching 21 d after birth and tail tips were used for genotyping. Genomic DNA was isolated by using a Rapid Extract PCR kit (PCRBIO, PB10.24–08) and was used for PCR. The primers for genotyping were synthesized by Integrated DNA Technologies: Tspo floxed forward, 5′-GGATTACCACACCCAACCAG-3′ and Tspo floxed reverse, 5′-TAGGAGTGCAAAGCCAGTCA-3ʹ. Genotyping was performed according to a protocol specified at The Jackson Laboratory.

Stereotaxic injection of adeno-associated virus

AAV-Rax-GFP (control) and AAV-Rax-Cre-GFP were purchased from SignaGen Laboratories. The plasmid pAAV-Rax-GFP was generated by synthesizing a small upstream fragment of the mouse Rax gene (–1100 to +149, Genbank, NM013833) and inserting it into pAAV-CMV-GFP to replace the CMV promoter. To generate pAAV-Rax-Cre-GFP, Cre-Nls was synthesized and inserted into pAAV-Rax-GFP before GFP. Mice carrying a floxed Tspo allele (Tspo) were used to knock out Tspo in tanycytes with AAV-Rax-Cre-GFP (serotype 1). Tspo male littermates at the age of 6 weeks were stereotaxically injected with AAV-Rax-GFP (control) or AAV-Rax-Cre-GFP into the 3V (1.2 mm posterior to the bregma, 5.4 mm below the bregma) at a rate of 0.2 μl per min with a microliter syringe (Hamilton). After injection, the syringe was kept in place for 10 min to avoid backflow of the injected vector during syringe retraction. The scalp was sutured, and the animal was placed on a heating pad until full recovery from surgery and then returned to the individual cage. The mice were fed NCD for 3 weeks after surgery and then were fed either NCD or HFD for 4 weeks. At 7 weeks after injection, energy expenditure was measured and the mice were sacrificed for checking TSPO protein level and lipophagy markers. After surgery, food consumption and body weight were measured before the beginning of the dark cycle every 2 d for 7 weeks.

Metabolic measurements

Mice were housed individually with free access to water and NCD or HFD in metabolic chambers of the Comprehensive Lab Animal Monitoring System (Columbus Instruments, Columbus, OH, USA). After a 24 h acclimation period, energy expenditure was measured for 24 h. Heat production, locomotor activity, and the rates of oxygen consumption (VO2), and carbon dioxide production (VCO2) were determined using an Oxymax system (Columbus Instruments). VO2, VCO2, and heat production were measured every 12 min during 24 h and were normalized to body weight. Respiratory exchange ratio (RER) was calculated as VCO2/VO2. Locomotor activity was determined by measuring interruptions in the infrared beams (total number of X- and Z-beam breaks).

Glucose tolerance test and insulin tolerance test

Glucose and insulin tolerance tests were measured in mice after a 16 h or 6 h fast, respectively. The glucose (2 g/kg) or human INS (insulin; 1 U/kg; Sigma-Aldrich, I9278) was injected intraperitoneally and blood glucose concentration was determined using a glucometer (Accu-Check) measuring blood drops obtained from tail vein.

In situ hybridization

In situ hybridization was performed using the ViewRNA ISH tissue assay (Affymetrix, QVT0012). Perfused mouse brains were embedded in paraffin as previously described [90] with some modifications. Serial brain sections (5 μm) obtained from the paraffin-embedded brain blocks were deparaffinized with xylene, boiled in pretreatment solution for 10 min, and digested with Protease QF (Affymetrix) for 10 min at 40°C. Brain sections were then hybridized with mouse anti-sense Tspo (Affymetrix, VB1-19,644) and sense Tspo (Affymetrix, VB1-20,039) Fast Red probes for 2 h at 40°C. Slides were incubated with Label Probe 1-AP Type 1 solution and the Fast Red substrate. After mounting the coverslips, images were acquired under an ECLIPSE 90i light microscope (Nikon, Tokyo, Japan).

SiRNA and plasmid transfection

For siRNA experiments, A2/29 cells (0.3 × 105/ml) were plated onto 12-well plates. After 24 h, cells were transfected with ON-TARGETplus mouse siRNAs (100 nM; Dharmacon): scrambled (D-001810–10-10–05), Tspo (L-040291–02-0005), or Atg5 (L-064838–00-0010), each composed of 4 different siRNAs to avoid off-target effects. The siRNAs were transfected using Lipofectamine 2000 (Invitrogen, 11,668–019) according to the manufacturer’s instructions. After 4 h, the medium was changed and the cells were incubated with fresh medium for 44 h. For plasmids transfection, A2/29 cells seeded on coverslips were transfected with 1.5 µg of plasmid using TurboFect Transfection Reagent (Thermo Fisher Scientific, R0534) according to the manufacturer’s protocol. The following plasmids were used: pmRFP-GFP-MAP1LC3B (a gift from Dr. Inhee Mook-Jung, Seoul National University), pmRFP-MAP1LC3B (Addgene, 21,075; Tamotsu Yoshimori’s lab), pEGFP-PRKN generated by subcloning of Myc-PRKN from pRK5-Myc-PRKN (Addgene, 17,612; Ted Dawson’s lab) into pEGFP-C1 (Clontech, 6084–1), pCase12-mito (Evrogen, FP995), and pDsRed2-mito (Clontech, 55,858).

Lentivirus-mediated gene expression

The pLKO.1 lentiviral construct containing scrambled shRNA (Sigma-Aldrich, SHC216) or Ampk-targeting shRNAs were used to produce lentiviruses. To avoid off-target effects, 4 different shRNA plasmids targeting Prkaa1 (Sigma-Aldrich, TRCN0000360842 and TRCN0000360770) and Prkaa2 (Sigma-Aldrich, TRCN0000360775 and TRCN0000360848) were used. To produce lentiviruses, the Lenti-X 293T cell line (Clontech, 632,180) was transiently transfected with pLKO.1, the envelope vector pMD2.G (Addgene, 12,259; Didier Trono’s lab), and the packaging vector psPAX2 (Addgene, 12,260; Didier Trono’s lab) using TurboFect Transfection Reagent. Media containing virus were collected at 72 h post-transfection and filtered through a 0.45 μm syringe filter. Lentivirus was concentrated by ultracentrifugation at 40,000 × g for 90 min at 4°C. The pellet fractions were suspended with saline. Finally, the copy number of lentiviruses was measured using a Lenti-X qRT-PCR titration kit (Clontech, 631,235). A2/29 cells (0.2 × 105/ml) were seeded in 12-well plates. After 12 h, cells were infected with the lentiviruses expressing scrambled shRNA or Prkaa shRNAs in the presence of polybrene (8 μg/ml; Sigma-Aldrich, H9268) for 48 h. To remove uninfected cells, fresh medium containing 10 μg/ml puromycin was added to the cells for 48 h and living cells were subcultured several times in fresh medium.

Western blotting

Cell and hypothalamus samples were lysed in buffer containing 50 mM Tris-HCl, pH 7.4, 250 mM sucrose, 5 mM sodium pyrophosphate, 1 mM EDTA, 1 mM EGTA, 1% Triton X-100 (Sigma-Aldrich, T8787), 0.1 mM benzamidine (Sigma-Aldrich, B6506), 1 mM dithiothreitol (Sigma-Aldrich, 43,816), 0.5 mM phenylmethylsulfonyl fluoride (Sigma-Aldrich, P7626), 50 mM sodium fluoride, protease inhibitor cocktail (Millipore, 535,140), and phosphatase inhibitor cocktail (Sigma-Aldrich, P5726). Protein concentrations were measured by using the Pierce BCA assay kit (Thermo Fisher Scientific, 23,228). Lysates (10 µg) were resolved in SDS-polyacrylamide gels and blotted onto polyvinylidene difluoride membranes (Millipore, IPVH00010) for 35 min at 20 V in transfer buffer containing 25 mM Tris base and 192 mM glycine. The membranes were blocked with 5% skim milk in 1× TBST buffer (20 mM Tris, 125 mM NaCl, 0.1% Tween 20 [Sigma-Aldrich, P1379], pH 7.4) during 1 h and incubated with primary antibodies at room temperature (RT) for 1 h or at 4°C overnight. The membranes were washed three times with 1× TBST and incubated with horseradish peroxidase–linked secondary antibodies. Proteins were visualized with the Supersignal West Pico Chemiluminescent Substrate (Thermo Fisher Scientific, NCI4080KR) or WesternBright ECL (Advansta, K-12,045-D50) according to the manufacturer’s protocol. Band intensities were quantified using Image J software (National Institutes of Health).

ATP assay

A2/29 cells (0.2 × 105/ml) were plated in 12 well plates. After 24 h, the cells were transfected with scrambled or Atg5 siRNA. After 24 h, cells were additionally transfected with scrambled or Tspo siRNA for 48 h. Before harvesting the cells, OL (0.06 mM) or vehicle was added for 4 h. The cells were then lysed in TE buffer (100 mM Tris, 4 mM EDTA, pH 7.5), heated at 95°C for 7 min then centrifuged (18,000 х g at 4°C) for 3 min. ATP levels in lysates were measured using an ATP bioluminescence assay kit (Roche, 11,699,695,001) according to the manufacturer’s protocol and normalized to that of protein content.

Ca2+ imaging

To detect [Ca2+]cyto, cells were grown to 80% confluence on a poly-L-lysine (PLL; Sigma-Aldrich, P4707)-coated coverslip and loaded for 50 min at 37°C with Fluo-3/AM (Invitrogen, F1242). After washing with PBS twice, the coverslip was transferred into a chamber slide and medium was replaced with fresh medium without phenol red. To detect [Ca2+]mito, the Case12-mito plasmid was used, which encodes a fluorescent Ca2+ sensor fused with a mitochondrial targeting sequence. Cells were seeded onto a PLL-coated coverslip and co-transfected with the Case12-mito and DsRed2-mito plasmids using TurboFect Transfection Reagent for 28 h. After treatment with PK11195 or knockdown of Tspo, [Ca2+]cyto or [Ca2+]mito images were collected using a Zeiss LSM 7 Live or LSM 700 confocal microscope (Carl Zeiss, Oberkochen, Germany). In ATP-applied experiments, 1 mM ATP in medium without phenol red was directly added to the chamber slide during live cell imaging. Images were captured one per second and each peak of fluorescence intensity was normalized by the peak induced by the medium only to subtract noise.

Immunocytochemistry

Cells were grown on PLL-coated coverslips and fixed in 10% neutral phosphate-buffered formalin for 10 min. Cells were permeabilized with 0.01% Triton X-100 and 0.1 M glycine in PBS for 15 min. After washing with PBS, cells were blocked with antibody diluent (Invitrogen, 00–3118) for 10 min. The coverslips were incubated with primary antibodies diluted with antibody diluent in a wet chamber for 1 h and washed with PBS. Then, the cells were incubated with secondary antibodies for 3 h. After washing with PBS three times, Hoechst 33,342 dye (1 μg/ml; Invitrogen, H3570) was added for 10 min. Finally, coverslips were washed and mounted on microscope slides with Prolong Diamond Antifade Mountant (Life Technologies, P36961). Fluorescence images were captured using a Zeiss LSM 780 confocal laser-scanning microscope (Carl Zeiss).

Immunohistochemistry

Mice were deeply anesthetized with a cocktail containing Zoletil 50 and Rompun and then perfused transcardially with PBS, followed by 4% paraformaldehyde in PBS, pH 7.4. Mouse brains were quickly removed, post-fixed in 4% paraformaldehyde for 16 h at 4°C, and transferred to 30% sucrose in PBS. To prepare frozen sections, the brains were embedded in Optimal Cutting Temperature Compound (Leica, 3,801,480), frozen on dry ice, and stored at – 80°C until slicing. Serial coronal sections (10 μm for glass binding and 40 μm for free floating) were cut on a cryostat. The sections were then blocked in PBS with 5% donkey serum (Jackson ImmunoResearch, 017–000-121), 1% bovine serum albumin (Sigma-Aldrich, A6003), and 0.3% Triton X-100 for 2 h at RT, and incubated with primary antibodies diluted in PBS with 5% donkey serum and 0.3% Triton X-100 for 16–18 h at 4°C. For staining for p-AMPK, all solutions contained 50 mM NaF to inhibit phosphatase activity. To visualize primary antibodies, fluorophore-conjugated secondary antibodies were applied in PBS with 5% donkey serum and 0.1% Tween 20 for 90 min at RT. The sections were subsequently incubated for 10 min with 1 μg/ml Hoechst 33,342 in PBS for nuclear staining, and mounted with Vectashield mounting medium (Vector Laboratories, H-1000) on glass slides. Fluorescence images were captured using the Zeiss LSM 780 microscope. MAP1LC3B puncta in tanycytes infected with Rax-AAVs were quantified using Pixcavator 6.0 software. We only considered MAP1LC3B puncta located in the cytosol of GFP- and VIM-positive tanycytes.

BODIPY 493/503 and lipid spot 610 staining

To stain LDs, 10 µg/ml BODIPY 493/503 (stock: 1 mg/ml in 100% ethanol; Thermo Fisher Scientific, D3922) or 1X Lipid spot 610 (stock: 1000X; Biotium, 70,069) was applied to fixed cells or hypothalamus sections for 20 min in the dark. Fluorescence images were acquired using the Zeiss LSM 780 microscope. Pixel size and number of LDs in confocal images were quantified using Pixcavator 6.0 software. The total number of LDs was divided by the number of nuclei, which was manually counted in each confocal section.

LysoTracker staining

To monitor lysosomes, LysoTracker Red DND-99 (LysoTracker; Invitrogen, L7528) was used. Cells were stained for 30 min with LysoTracker (300 nM) in growth media at 37°C incubator. For the assessment of lysosomal size and number, cells were fixed and analyzed using the Zeiss LSM 780 microscope. Pixel size and number of LysoTracker puncta in confocal images were quantified using Pixcavator 6.0 software. For flow cytometry assay, LysoTracker-stained cells were analyzed using the BD Accuri C6 Cytometer (BD Biosciences, San Jose, CA, USA). BD Accuri C6 software was used for analysis and representation of histograms.

Measurement of TG

TG levels were measured using the Triglyceride Quantification Colorimetric/Fluorometric Kit (BioVision, K622-100) following the manufacturer’s instructions. A2/29 cells were homogenized in solution containing 5% NP-40 (ELPIS biotech, EBA-1029) in water. The lysates were slowly heated to 90°C for 3 min and then cooled down toRT. This process was repeated twice, and samples were centrifuged at 4,000 × g for 2 min to remove insoluble material. 50 µl of samples were mixed with 50 µl of assay buffer containing 0.4 µl of TG probe and 2 µl of TG enzyme mix. Following the addition of lipase, the fluorescence was measured at Ex/Em = 537/587 nm. The concentration of TG was normalized by that of protein.

Metabolomic analysis by GC-MS/MS

Free fatty acids analysis

Cells were extracted with 800 μl of methanol:chloroform:water, 2:1:1 (v:v) containing an internal standard (20 nM D2-oleic acid). Samples were sonicated briefly and centrifuged (10,000 × g at 4°C) for 10 min, and 100 μl of the lower organic phases were transferred to new tubes and evaporated. Samples were reconstituted in 200 μl of hexane (Sigma-Aldrich, 34,859): 5% potassium hydroxide-methanol (Fluka, 03564), 1:1 (v:v), and incubated at RT for 10 min. For esterification/derivatization, 200 μl of BCl3-methanol (12% w/w) was added. The samples were heated at 70°C for 10 min, cooled on ice for 5 min, and then 150 μl of water and 300 μl of hexane were added. Samples were vortexed thoroughly and centrifuged (7,000 × g at RT) for 5 min. The supernatants (hexane phases) were transferred into autosampler vials. Fatty acids methyl esters (FAMEs) were analyzed using an Agilent 7000B gas chromatograph coupled with a 7000C tandem mass spectrometric detector (Agilent GC-QQQ-MS/MS; Agilent Technologies, Santa Clara, CA, USA) and equipped with an ultra HP-5ms capillary column (30 m × 0.25 μm, i.d., 0.25 μm film thickness, Agilent J&W Scientific). The inlet temperature was set as follows: inlet, 250°C; transfer line, 290°C; the EI (70 eV) ion source, 230°C; the quadrupole, 150°C. The solvent delay was set at 2 min. The gradient was run at a flow rate of 1.2 ml He/min, 4°C/min with 4:1 split mode: 50°C for 1 min, and up to 240°C, equilibration for 10 min. The identification of FAMEs was based on the exact selected ion mass and the retention time of a FAME standard (Supelco 37 component FAME mix). Detected FAMEs were quantified using Agilent MassHunter software (Agilent Technologies).

Amino acids and cholesterol analysis

Cells were extracted with 800 μl of methanol:chloroform:water, 2:1:1 (v:v) containing an internal standard (20 nM 2-isopropylmalic acid [Sigma-Aldrich, 333,115]). Samples were sonicated briefly and centrifuged (10,000 × g at 4°C) for 10 min, and 200 μl of the upper organic phases were transferred to new tubes and evaporated. Samples were derivatized in 100 μl of MSTFA (Sigma-Aldrich, 69,479), and incubated at 100°C for 120 min. The samples were transferred into autosampler vials. Amino acids and cholesterol were analyzed using an Agilent 7000B gas chromatograph coupled with a 7000C tandem mass spectrometric detector (Agilent GC-QQQ-MS/MS; Agilent Technologies) and equipped with an ultra HP-5ms capillary column (30 m × 0.25 μm, i.d., 0.25 μm film thickness, Agilent J&W Scientific). The inlet temperature was set as follows: inlet, 250°C; transfer line, 290°C; the EI (70 eV) ion source, 230°C; the quadrupole, 150°C. The solvent delay was set at 3.75 min. The gradient was run at a flow rate of 1.2 ml He/min, 10°C/min with 4:1 split mode: 100°C for 2 min, and up to 320°C, equilibration for 10 min. The identification of amino acids was based on the exact selected ion mass and the retention time of an amino acid standard (Supelco 79,248). Cholesterol was identified based on the library NIST14. Amino acids and cholesterol were quantified using Agilent MassHunter software (Agilent Technologies).

Assay of AMP: ATP ratio by UPLC

Cells were rapidly frozen on dry ice and extracted with 300 μl of ice-cold 0.3 M perchloric acid (Sigma-Aldrich, 311,421). The extraction mixture was centrifuged (18,000 × g at 4°C) for 20 min. The supernatant was collected, neutralized to pH 7 with 0.5 M potassium hydroxide, vortexed for 1 min, put on ice for 30 min, and centrifuged (18,000 × g at 4°C) for 20 min to precipitate potassium perchlorate. The supernatant was collected and filtered through a 0.22-μm syringe filter prior to the analysis. Analysis was performed on an Agilent 1290 UPLC system that included a diode array detector (Agilent Technologies). AMP and ATP were separated on a Shiseido CAPCELL PAK ADME column (100 × 2.1 mm, 3 μm) kept at 30°C in a column oven. The mobile phase consisted of solution A (100 mM potassium dihydrogen phosphate in water) and solution B (100 mM potassium dihydrogen phosphate in 1:9 methanol:water). Both solutions were adjusted to pH 5.8 with potassium hydroxide solution. The gradient program was as follows: 0–2 min, 30% B; 2–7 min, linear gradient from 30% to 50% B; 7–10 min, 50% B; 10–13 min, linear gradient from 50% to 30% B; 13–15 min, 30% B for re-equilibration. The flow rate was 200 μl/min and the injection volume was 10 μl. The absorption wavelength of the detector was set at 254 nm. AMP and ATP were identified and quantified on the basis of the chromatograms of AMP and ATP standards using Agilent ChemStation software (Agilent Technologies).

Real time-PCR

Total RNA from the hypothalamus and A2/29 cells was extracted with TRIzol reagent (Invitrogen, 15,596,018), and its concentration was determined using a NanoDrop spectrophotometer (Thermo Scientific, Waltham, MA, USA). RNA (3 µg) was reverse transcribed using a GoScript Reverse Transcription System (Promega, A5004) as described previously [50]. SYBR Green (TaKaRa Biotechnology, RR820A) was used for quantitative PCR estimation of the expression of Tspo, Agrp, Npy, Pomc, and Rax genes in a CFX 96 Real-Time system (Bio-Rad, Hercules, CA, USA). The following primers were synthesized by Integrated DNA Technologies: Tspo forward, 5ʹ-TGCAGAAACCCTCTTGGCATC-3ʹ; Tspo reverse, 5ʹ-GAAACCTCCCAGCTCTTTCC-3ʹ; Agrp forward, 5ʹ-CTGCAGACCGAGCAGAAGA-3ʹ; Agrp reverse, 5ʹ-TGCGACTACAGAGGTTCGTG-3ʹ; Npy forward, 5ʹ-CAGAAAACGCCCCCAGAA-3ʹ; Npy reverse, 5ʹ-AAAAGTCGGGAGAACAAGTTTCATT-3ʹ; Pomc forward, 5ʹ-GAACAGCCCCTGACTGAAAA-3ʹ; Pomc reverse, 5ʹ-ACGTTGGGGTACACCTTCAC-3ʹ; Rax forward, 5ʹ -TGGACCGACCCATCCATTTG-3ʹ; Rax reverse, 5ʹ-AGGTGTCTAGGATGCCGTCT-3ʹ; Gapdh forward, 5ʹ-ATCACTGCCACCCAGAAGAC-3ʹ and Gapdh reverse, 5ʹ-ACACATTGGGGGTAGGAACA-3ʹ. All expression levels were normalized to that of Gapdh as an endogenous control. All assays were performed in triplicate.

Statistical analysis

Statistical analysis was performed using Prism 5 software (GraphPad). All results were represented as mean ± standard error of the mean (SEM). Statistical significance was determined by Student’s t-test or two-way ANOVA with Bonferroni post-tests. A P value of <0.05 was considered statistically significant. Click here for additional data file. Click here for additional data file.
  87 in total

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Journal:  J Neuroimmune Pharmacol       Date:  2014-04-01       Impact factor: 4.147

Review 2.  Hypothalamic cell lines to investigate neuroendocrine control mechanisms.

Authors:  Christopher M Mayer; Laura J Fick; Sarah Gingerich; Denise D Belsham
Journal:  Front Neuroendocrinol       Date:  2009-03-31       Impact factor: 8.606

3.  Conditional steroidogenic cell-targeted deletion of TSPO unveils a crucial role in viability and hormone-dependent steroid formation.

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4.  Translocator Protein (TSPO) Affects Mitochondrial Fatty Acid Oxidation in Steroidogenic Cells.

Authors:  Lan N Tu; Amy H Zhao; Mahmoud Hussein; Douglas M Stocco; Vimal Selvaraj
Journal:  Endocrinology       Date:  2016-01-07       Impact factor: 4.736

5.  Rax regulates hypothalamic tanycyte differentiation and barrier function in mice.

Authors:  Ana L Miranda-Angulo; Mardi S Byerly; Janny Mesa; Hong Wang; Seth Blackshaw
Journal:  J Comp Neurol       Date:  2014-03       Impact factor: 3.215

6.  ATP-mediated glucosensing by hypothalamic tanycytes.

Authors:  Cameron Frayling; Ruth Britton; Nicholas Dale
Journal:  J Physiol       Date:  2011-03-08       Impact factor: 5.182

Review 7.  Emerging role of the brain in the homeostatic regulation of energy and glucose metabolism.

Authors:  Eun Roh; Do Kyeong Song; Min-Seon Kim
Journal:  Exp Mol Med       Date:  2016-03-11       Impact factor: 8.718

8.  Modulation of intracellular Ca2+ signalling in HeLa cells by the apoptotic cell death enhancer PK11195.

Authors:  Michelangelo Campanella; Gyorgy Szabadkai; Rosario Rizzuto
Journal:  Biochem Pharmacol       Date:  2008-10-04       Impact factor: 5.858

9.  Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).

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Chun-Jung Chen; Gang Chen; Guang-Chao Chen; Guoqiang Chen; Hongzhuan Chen; Jeff W Chen; Jian-Kang Chen; Min Chen; Mingzhou Chen; Peiwen Chen; Qi Chen; Quan Chen; Shang-Der Chen; Si Chen; Steve S-L Chen; Wei Chen; Wei-Jung Chen; Wen Qiang Chen; Wenli Chen; Xiangmei Chen; Yau-Hung Chen; Ye-Guang Chen; Yin Chen; Yingyu Chen; Yongshun Chen; Yu-Jen Chen; Yue-Qin Chen; Yujie Chen; Zhen Chen; Zhong Chen; Alan Cheng; Christopher Hk Cheng; Hua Cheng; Heesun Cheong; Sara Cherry; Jason Chesney; Chun Hei Antonio Cheung; Eric Chevet; Hsiang Cheng Chi; Sung-Gil Chi; Fulvio Chiacchiera; Hui-Ling Chiang; Roberto Chiarelli; Mario Chiariello; Marcello Chieppa; Lih-Shen Chin; Mario Chiong; Gigi Nc Chiu; Dong-Hyung Cho; Ssang-Goo Cho; William C Cho; Yong-Yeon Cho; Young-Seok Cho; Augustine Mk Choi; Eui-Ju Choi; Eun-Kyoung Choi; Jayoung Choi; Mary E Choi; Seung-Il Choi; Tsui-Fen Chou; Salem Chouaib; Divaker Choubey; Vinay Choubey; Kuan-Chih Chow; Kamal Chowdhury; Charleen T Chu; Tsung-Hsien Chuang; Taehoon Chun; Hyewon Chung; Taijoon Chung; Yuen-Li Chung; Yong-Joon Chwae; Valentina Cianfanelli; Roberto Ciarcia; Iwona A Ciechomska; Maria Rosa Ciriolo; Mara Cirone; Sofie Claerhout; Michael J Clague; Joan Clària; Peter Gh Clarke; Robert Clarke; Emilio Clementi; Cédric Cleyrat; Miriam Cnop; Eliana M Coccia; Tiziana Cocco; Patrice Codogno; Jörn Coers; Ezra Ew Cohen; David Colecchia; Luisa Coletto; Núria S Coll; Emma Colucci-Guyon; Sergio Comincini; Maria Condello; Katherine L Cook; Graham H Coombs; Cynthia D Cooper; J Mark Cooper; Isabelle Coppens; Maria Tiziana Corasaniti; Marco Corazzari; Ramon Corbalan; Elisabeth Corcelle-Termeau; Mario D Cordero; Cristina Corral-Ramos; Olga Corti; Andrea Cossarizza; Paola Costelli; Safia Costes; Susan L Cotman; Ana Coto-Montes; Sandra Cottet; Eduardo Couve; Lori R Covey; L Ashley Cowart; Jeffery S Cox; Fraser P Coxon; Carolyn B Coyne; Mark S Cragg; Rolf J Craven; Tiziana Crepaldi; Jose L Crespo; Alfredo Criollo; Valeria Crippa; Maria Teresa Cruz; Ana Maria Cuervo; 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Gad Galili; Inmaculada Galindo; Maria F Galindo; Giovanna Galliciotti; Lorenzo Galluzzi; Luca Galluzzi; Vincent Galy; Noor Gammoh; Sam Gandy; Anand K Ganesan; Swamynathan Ganesan; Ian G Ganley; Monique Gannagé; Fen-Biao Gao; Feng Gao; Jian-Xin Gao; Lorena García Nannig; Eleonora García Véscovi; Marina Garcia-Macía; Carmen Garcia-Ruiz; Abhishek D Garg; Pramod Kumar Garg; Ricardo Gargini; Nils Christian Gassen; Damián Gatica; Evelina Gatti; Julie Gavard; Evripidis Gavathiotis; Liang Ge; Pengfei Ge; Shengfang Ge; Po-Wu Gean; Vania Gelmetti; Armando A Genazzani; Jiefei Geng; Pascal Genschik; Lisa Gerner; Jason E Gestwicki; David A Gewirtz; Saeid Ghavami; Eric Ghigo; Debabrata Ghosh; Anna Maria Giammarioli; Francesca Giampieri; Claudia Giampietri; Alexandra Giatromanolaki; Derrick J Gibbings; Lara Gibellini; Spencer B Gibson; Vanessa Ginet; Antonio Giordano; Flaviano Giorgini; Elisa Giovannetti; Stephen E Girardin; Suzana Gispert; Sandy Giuliano; Candece L Gladson; Alvaro Glavic; Martin Gleave; 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Kai Kaarniranta; Allen Kaasik; Tomohiro Kabuta; Bertrand Kaeffer; Katarina Kågedal; Alon Kahana; Shingo Kajimura; Or Kakhlon; Manjula Kalia; Dhan V Kalvakolanu; Yoshiaki Kamada; Konstantinos Kambas; Vitaliy O Kaminskyy; Harm H Kampinga; Mustapha Kandouz; Chanhee Kang; Rui Kang; Tae-Cheon Kang; Tomotake Kanki; Thirumala-Devi Kanneganti; Haruo Kanno; Anumantha G Kanthasamy; Marc Kantorow; Maria Kaparakis-Liaskos; Orsolya Kapuy; Vassiliki Karantza; Md Razaul Karim; Parimal Karmakar; Arthur Kaser; Susmita Kaushik; Thomas Kawula; A Murat Kaynar; Po-Yuan Ke; Zun-Ji Ke; John H Kehrl; Kate E Keller; Jongsook Kim Kemper; Anne K Kenworthy; Oliver Kepp; Andreas Kern; Santosh Kesari; David Kessel; Robin Ketteler; Isis do Carmo Kettelhut; Bilon Khambu; Muzamil Majid Khan; Vinoth Km Khandelwal; Sangeeta Khare; Juliann G Kiang; Amy A Kiger; Akio Kihara; Arianna L Kim; Cheol Hyeon Kim; Deok Ryong Kim; Do-Hyung Kim; Eung Kweon Kim; Hye Young Kim; Hyung-Ryong Kim; Jae-Sung Kim; Jeong Hun Kim; Jin Cheon Kim; Jin Hyoung Kim; Kwang Woon Kim; Michael D Kim; Moon-Moo Kim; Peter K Kim; Seong Who Kim; Soo-Youl Kim; Yong-Sun Kim; Yonghyun Kim; Adi Kimchi; Alec C Kimmelman; Tomonori Kimura; Jason S King; Karla Kirkegaard; Vladimir Kirkin; Lorrie A Kirshenbaum; Shuji Kishi; Yasuo Kitajima; Katsuhiko Kitamoto; Yasushi Kitaoka; Kaio Kitazato; Rudolf A Kley; Walter T Klimecki; Michael Klinkenberg; Jochen Klucken; Helene Knævelsrud; Erwin Knecht; Laura Knuppertz; Jiunn-Liang Ko; Satoru Kobayashi; Jan C Koch; Christelle Koechlin-Ramonatxo; Ulrich Koenig; Young Ho Koh; Katja Köhler; Sepp D Kohlwein; Masato Koike; Masaaki Komatsu; Eiki Kominami; Dexin Kong; Hee Jeong Kong; Eumorphia G Konstantakou; Benjamin T Kopp; Tamas Korcsmaros; Laura Korhonen; Viktor I Korolchuk; Nadya V Koshkina; Yanjun Kou; Michael I Koukourakis; Constantinos Koumenis; Attila L Kovács; Tibor Kovács; Werner J Kovacs; Daisuke Koya; Claudine Kraft; Dimitri Krainc; Helmut Kramer; Tamara Kravic-Stevovic; Wilhelm Krek; Carole Kretz-Remy; Roswitha Krick; Malathi Krishnamurthy; Janos Kriston-Vizi; Guido Kroemer; Michael C Kruer; Rejko Kruger; Nicholas T Ktistakis; Kazuyuki Kuchitsu; Christian Kuhn; Addanki Pratap Kumar; Anuj Kumar; Ashok Kumar; Deepak Kumar; Dhiraj Kumar; Rakesh Kumar; Sharad Kumar; Mondira Kundu; Hsing-Jien Kung; Atsushi Kuno; Sheng-Han Kuo; Jeff Kuret; Tino Kurz; Terry Kwok; Taeg Kyu Kwon; Yong Tae Kwon; Irene Kyrmizi; Albert R La Spada; Frank Lafont; Tim Lahm; Aparna Lakkaraju; Truong Lam; Trond Lamark; Steve Lancel; Terry H Landowski; Darius J R Lane; Jon D Lane; Cinzia Lanzi; Pierre Lapaquette; Louis R Lapierre; Jocelyn Laporte; Johanna Laukkarinen; Gordon W Laurie; Sergio Lavandero; Lena Lavie; Matthew J LaVoie; Betty Yuen Kwan Law; Helen Ka-Wai Law; Kelsey B Law; Robert Layfield; Pedro A Lazo; Laurent Le Cam; Karine G Le Roch; Hervé Le Stunff; Vijittra Leardkamolkarn; Marc Lecuit; Byung-Hoon Lee; Che-Hsin Lee; Erinna F Lee; Gyun Min Lee; He-Jin Lee; Hsinyu Lee; Jae Keun Lee; Jongdae Lee; Ju-Hyun Lee; Jun Hee Lee; Michael Lee; Myung-Shik Lee; Patty J Lee; Sam W Lee; Seung-Jae Lee; Shiow-Ju Lee; Stella Y Lee; Sug Hyung Lee; Sung Sik Lee; Sung-Joon Lee; Sunhee Lee; Ying-Ray Lee; Yong J Lee; Young H Lee; Christiaan Leeuwenburgh; Sylvain Lefort; Renaud Legouis; Jinzhi Lei; Qun-Ying Lei; David A Leib; Gil Leibowitz; Istvan Lekli; Stéphane D Lemaire; John J Lemasters; Marius K Lemberg; Antoinette Lemoine; Shuilong Leng; Guido Lenz; Paola Lenzi; Lilach O Lerman; Daniele Lettieri Barbato; Julia I-Ju Leu; Hing Y Leung; Beth Levine; Patrick A Lewis; Frank Lezoualc'h; Chi Li; Faqiang Li; Feng-Jun Li; Jun Li; Ke Li; Lian Li; Min Li; Min Li; Qiang Li; Rui Li; Sheng Li; Wei Li; Wei Li; Xiaotao Li; Yumin Li; Jiqin Lian; Chengyu Liang; Qiangrong Liang; Yulin Liao; Joana Liberal; Pawel P Liberski; Pearl Lie; Andrew P Lieberman; Hyunjung Jade Lim; Kah-Leong Lim; Kyu Lim; Raquel T Lima; Chang-Shen Lin; Chiou-Feng Lin; Fang Lin; Fangming Lin; Fu-Cheng Lin; Kui Lin; Kwang-Huei Lin; Pei-Hui Lin; Tianwei Lin; Wan-Wan Lin; Yee-Shin Lin; Yong Lin; Rafael Linden; Dan Lindholm; Lisa M Lindqvist; Paul Lingor; Andreas Linkermann; Lance A Liotta; Marta M Lipinski; Vitor A Lira; Michael P Lisanti; Paloma B Liton; Bo Liu; Chong Liu; Chun-Feng Liu; Fei Liu; Hung-Jen Liu; Jianxun Liu; Jing-Jing Liu; Jing-Lan Liu; Ke Liu; Leyuan Liu; Liang Liu; Quentin Liu; Rong-Yu Liu; Shiming Liu; Shuwen Liu; Wei Liu; Xian-De Liu; Xiangguo Liu; Xiao-Hong Liu; Xinfeng Liu; Xu Liu; Xueqin Liu; Yang Liu; Yule Liu; Zexian Liu; Zhe Liu; Juan P Liuzzi; Gérard Lizard; Mila Ljujic; Irfan J Lodhi; Susan E Logue; Bal L Lokeshwar; Yun Chau Long; Sagar Lonial; Benjamin Loos; Carlos López-Otín; Cristina López-Vicario; Mar Lorente; Philip L Lorenzi; Péter Lõrincz; Marek Los; Michael T Lotze; Penny E Lovat; Binfeng Lu; Bo Lu; Jiahong Lu; Qing Lu; She-Min Lu; Shuyan Lu; Yingying Lu; Frédéric Luciano; Shirley Luckhart; John Milton Lucocq; Paula Ludovico; Aurelia Lugea; Nicholas W Lukacs; Julian J Lum; Anders H Lund; Honglin Luo; Jia Luo; Shouqing Luo; Claudio Luparello; Timothy Lyons; Jianjie Ma; Yi Ma; Yong Ma; Zhenyi Ma; Juliano Machado; Glaucia M Machado-Santelli; Fernando Macian; Gustavo C MacIntosh; Jeffrey P MacKeigan; Kay F Macleod; John D MacMicking; Lee Ann MacMillan-Crow; Frank Madeo; Muniswamy Madesh; Julio Madrigal-Matute; Akiko Maeda; Tatsuya Maeda; Gustavo Maegawa; Emilia Maellaro; Hannelore Maes; Marta Magariños; Kenneth Maiese; Tapas K Maiti; Luigi Maiuri; Maria Chiara Maiuri; Carl G Maki; Roland Malli; Walter Malorni; Alina Maloyan; Fathia Mami-Chouaib; Na Man; Joseph D Mancias; Eva-Maria Mandelkow; Michael A Mandell; Angelo A Manfredi; Serge N Manié; Claudia Manzoni; Kai Mao; Zixu Mao; Zong-Wan Mao; Philippe Marambaud; Anna Maria Marconi; Zvonimir Marelja; Gabriella Marfe; Marta Margeta; Eva Margittai; Muriel Mari; Francesca V Mariani; Concepcio Marin; Sara Marinelli; Guillermo Mariño; Ivanka Markovic; Rebecca Marquez; Alberto M Martelli; Sascha Martens; Katie R Martin; Seamus J Martin; Shaun Martin; Miguel A Martin-Acebes; Paloma Martín-Sanz; Camille Martinand-Mari; Wim Martinet; Jennifer Martinez; Nuria Martinez-Lopez; Ubaldo Martinez-Outschoorn; Moisés Martínez-Velázquez; Marta Martinez-Vicente; Waleska Kerllen Martins; Hirosato Mashima; James A Mastrianni; Giuseppe Matarese; Paola Matarrese; Roberto Mateo; Satoaki Matoba; Naomichi Matsumoto; Takehiko Matsushita; Akira Matsuura; Takeshi Matsuzawa; Mark P Mattson; Soledad Matus; Norma Maugeri; Caroline Mauvezin; Andreas Mayer; Dusica Maysinger; Guillermo D Mazzolini; Mary Kate McBrayer; Kimberly McCall; Craig McCormick; Gerald M McInerney; Skye C McIver; Sharon McKenna; John J McMahon; Iain A McNeish; Fatima Mechta-Grigoriou; Jan Paul Medema; Diego L Medina; Klara Megyeri; Maryam Mehrpour; Jawahar L Mehta; Yide Mei; Ute-Christiane Meier; Alfred J Meijer; Alicia Meléndez; Gerry Melino; Sonia Melino; Edesio Jose Tenorio de Melo; Maria A Mena; Marc D Meneghini; Javier A Menendez; Regina Menezes; Liesu Meng; Ling-Hua Meng; Songshu Meng; Rossella Menghini; A Sue Menko; Rubem Fs Menna-Barreto; Manoj B Menon; Marco A Meraz-Ríos; Giuseppe Merla; Luciano Merlini; Angelica M Merlot; Andreas Meryk; Stefania Meschini; Joel N Meyer; Man-Tian Mi; Chao-Yu Miao; Lucia Micale; Simon Michaeli; Carine Michiels; Anna Rita Migliaccio; Anastasia Susie Mihailidou; Dalibor Mijaljica; Katsuhiko Mikoshiba; Enrico Milan; Leonor Miller-Fleming; Gordon B Mills; Ian G Mills; Georgia Minakaki; Berge A Minassian; Xiu-Fen Ming; Farida Minibayeva; Elena A Minina; Justine D Mintern; Saverio Minucci; Antonio Miranda-Vizuete; Claire H Mitchell; Shigeki Miyamoto; Keisuke Miyazawa; Noboru Mizushima; Katarzyna Mnich; Baharia Mograbi; Simin Mohseni; Luis Ferreira Moita; Marco Molinari; Maurizio Molinari; Andreas Buch Møller; Bertrand Mollereau; Faustino Mollinedo; Marco Mongillo; Martha M Monick; Serena Montagnaro; Craig Montell; Darren J Moore; Michael N Moore; Rodrigo Mora-Rodriguez; Paula I Moreira; Etienne Morel; Maria Beatrice Morelli; Sandra Moreno; Michael J Morgan; Arnaud Moris; Yuji Moriyasu; Janna L Morrison; Lynda A Morrison; Eugenia Morselli; Jorge Moscat; Pope L Moseley; Serge Mostowy; Elisa Motori; Denis Mottet; Jeremy C Mottram; Charbel E-H Moussa; Vassiliki E Mpakou; Hasan Mukhtar; Jean M Mulcahy Levy; Sylviane Muller; Raquel Muñoz-Moreno; Cristina Muñoz-Pinedo; Christian Münz; Maureen E Murphy; James T Murray; Aditya Murthy; Indira U Mysorekar; Ivan R Nabi; Massimo Nabissi; Gustavo A Nader; Yukitoshi Nagahara; Yoshitaka Nagai; Kazuhiro Nagata; Anika Nagelkerke; Péter Nagy; Samisubbu R Naidu; Sreejayan Nair; Hiroyasu Nakano; Hitoshi Nakatogawa; Meera Nanjundan; Gennaro Napolitano; Naweed I Naqvi; Roberta Nardacci; Derek P Narendra; Masashi Narita; Anna Chiara Nascimbeni; Ramesh Natarajan; Luiz C Navegantes; Steffan T Nawrocki; Taras Y Nazarko; Volodymyr Y Nazarko; Thomas Neill; Luca M Neri; Mihai G Netea; Romana T Netea-Maier; Bruno M Neves; Paul A Ney; Ioannis P Nezis; Hang Tt Nguyen; Huu Phuc Nguyen; Anne-Sophie Nicot; Hilde Nilsen; Per Nilsson; Mikio Nishimura; Ichizo Nishino; Mireia Niso-Santano; Hua Niu; Ralph A Nixon; Vincent Co Njar; Takeshi Noda; Angelika A Noegel; Elsie Magdalena Nolte; Erik Norberg; Koenraad K Norga; Sakineh Kazemi Noureini; Shoji Notomi; Lucia Notterpek; Karin Nowikovsky; Nobuyuki Nukina; Thorsten Nürnberger; Valerie B O'Donnell; Tracey O'Donovan; Peter J O'Dwyer; Ina Oehme; Clara L Oeste; Michinaga Ogawa; Besim Ogretmen; Yuji Ogura; Young J Oh; Masaki Ohmuraya; Takayuki Ohshima; Rani Ojha; Koji Okamoto; Toshiro Okazaki; F Javier Oliver; Karin Ollinger; Stefan Olsson; Daniel P Orban; Paulina Ordonez; Idil Orhon; Laszlo Orosz; Eyleen J O'Rourke; Helena Orozco; Angel L Ortega; Elena Ortona; Laura D Osellame; Junko Oshima; Shigeru Oshima; Heinz D Osiewacz; Takanobu Otomo; Kinya Otsu; Jing-Hsiung James Ou; Tiago F Outeiro; Dong-Yun Ouyang; Hongjiao Ouyang; Michael Overholtzer; Michelle A Ozbun; P Hande Ozdinler; Bulent Ozpolat; Consiglia Pacelli; Paolo Paganetti; Guylène Page; Gilles Pages; Ugo Pagnini; Beata Pajak; Stephen C Pak; Karolina Pakos-Zebrucka; Nazzy Pakpour; Zdena Palková; Francesca Palladino; Kathrin Pallauf; Nicolas Pallet; Marta Palmieri; Søren R Paludan; Camilla Palumbo; Silvia Palumbo; Olatz Pampliega; Hongming Pan; Wei Pan; Theocharis Panaretakis; Aseem Pandey; Areti Pantazopoulou; Zuzana Papackova; Daniela L Papademetrio; Issidora Papassideri; Alessio Papini; Nirmala Parajuli; Julian Pardo; Vrajesh V Parekh; Giancarlo Parenti; Jong-In Park; Junsoo Park; Ohkmae K Park; Roy Parker; Rosanna Parlato; Jan B Parys; Katherine R Parzych; Jean-Max Pasquet; Benoit Pasquier; Kishore Bs Pasumarthi; Daniel Patschan; Cam Patterson; Sophie Pattingre; Scott Pattison; Arnim Pause; Hermann Pavenstädt; Flaminia Pavone; Zully Pedrozo; Fernando J Peña; Miguel A Peñalva; Mario Pende; Jianxin Peng; Fabio Penna; Josef M Penninger; Anna Pensalfini; Salvatore Pepe; Gustavo Js Pereira; Paulo C Pereira; Verónica Pérez-de la Cruz; María Esther Pérez-Pérez; Diego Pérez-Rodríguez; Dolores Pérez-Sala; Celine Perier; Andras Perl; David H Perlmutter; Ida Perrotta; Shazib Pervaiz; Maija Pesonen; Jeffrey E Pessin; Godefridus J Peters; Morten Petersen; Irina Petrache; Basil J Petrof; Goran Petrovski; James M Phang; Mauro Piacentini; Marina Pierdominici; Philippe Pierre; Valérie Pierrefite-Carle; Federico Pietrocola; Felipe X Pimentel-Muiños; Mario Pinar; Benjamin Pineda; Ronit Pinkas-Kramarski; Marcello Pinti; Paolo Pinton; Bilal Piperdi; James M Piret; Leonidas C Platanias; Harald W Platta; Edward D Plowey; Stefanie Pöggeler; Marc Poirot; Peter Polčic; Angelo Poletti; Audrey H Poon; Hana Popelka; Blagovesta Popova; Izabela Poprawa; Shibu M Poulose; Joanna Poulton; Scott K Powers; Ted Powers; Mercedes Pozuelo-Rubio; Krisna Prak; Reinhild Prange; Mark Prescott; Muriel Priault; Sharon Prince; Richard L Proia; Tassula Proikas-Cezanne; Holger Prokisch; Vasilis J Promponas; Karin Przyklenk; Rosa Puertollano; Subbiah Pugazhenthi; Luigi Puglielli; Aurora Pujol; Julien Puyal; Dohun Pyeon; Xin Qi; Wen-Bin Qian; Zheng-Hong Qin; Yu Qiu; Ziwei Qu; Joe Quadrilatero; Frederick Quinn; Nina Raben; Hannah Rabinowich; Flavia Radogna; Michael J Ragusa; Mohamed Rahmani; Komal Raina; Sasanka Ramanadham; Rajagopal Ramesh; Abdelhaq Rami; Sarron Randall-Demllo; Felix Randow; Hai Rao; V Ashutosh Rao; Blake B Rasmussen; Tobias M Rasse; Edward A Ratovitski; Pierre-Emmanuel Rautou; Swapan K Ray; Babak Razani; Bruce H Reed; Fulvio Reggiori; Markus Rehm; Andreas S Reichert; Theo Rein; David J Reiner; Eric Reits; Jun Ren; Xingcong Ren; Maurizio Renna; Jane Eb Reusch; Jose L Revuelta; Leticia Reyes; Alireza R Rezaie; Robert I Richards; Des R Richardson; Clémence Richetta; Michael A Riehle; Bertrand H Rihn; Yasuko Rikihisa; Brigit E Riley; Gerald Rimbach; Maria Rita Rippo; Konstantinos Ritis; Federica Rizzi; Elizete Rizzo; Peter J Roach; Jeffrey Robbins; Michel Roberge; Gabriela Roca; Maria Carmela Roccheri; Sonia Rocha; Cecilia Mp Rodrigues; Clara I Rodríguez; Santiago Rodriguez de Cordoba; Natalia Rodriguez-Muela; Jeroen Roelofs; Vladimir V Rogov; Troy T Rohn; Bärbel Rohrer; Davide Romanelli; Luigina Romani; Patricia Silvia Romano; M Isabel G Roncero; Jose Luis Rosa; Alicia Rosello; Kirill V Rosen; Philip Rosenstiel; Magdalena Rost-Roszkowska; Kevin A Roth; Gael Roué; Mustapha Rouis; Kasper M Rouschop; Daniel T Ruan; Diego Ruano; David C Rubinsztein; Edmund B Rucker; Assaf Rudich; Emil Rudolf; Ruediger Rudolf; Markus A Ruegg; Carmen Ruiz-Roldan; Avnika Ashok Ruparelia; Paola Rusmini; David W Russ; Gian Luigi Russo; Giuseppe Russo; Rossella Russo; Tor Erik Rusten; Victoria Ryabovol; Kevin M Ryan; Stefan W Ryter; David M Sabatini; Michael Sacher; Carsten Sachse; Michael N Sack; Junichi Sadoshima; Paul Saftig; Ronit Sagi-Eisenberg; Sumit Sahni; Pothana Saikumar; Tsunenori Saito; Tatsuya Saitoh; Koichi Sakakura; Machiko Sakoh-Nakatogawa; Yasuhito Sakuraba; María Salazar-Roa; Paolo Salomoni; Ashok K Saluja; Paul M Salvaterra; Rosa Salvioli; Afshin Samali; Anthony Mj Sanchez; José A Sánchez-Alcázar; Ricardo Sanchez-Prieto; Marco Sandri; Miguel A Sanjuan; Stefano Santaguida; Laura Santambrogio; Giorgio Santoni; Claudia Nunes Dos Santos; Shweta Saran; Marco Sardiello; Graeme Sargent; Pallabi Sarkar; Sovan Sarkar; Maria Rosa Sarrias; Minnie M Sarwal; Chihiro Sasakawa; Motoko Sasaki; Miklos Sass; Ken Sato; Miyuki Sato; Joseph Satriano; Niramol Savaraj; Svetlana Saveljeva; Liliana Schaefer; Ulrich E Schaible; Michael Scharl; Hermann M Schatzl; Randy Schekman; Wiep Scheper; Alfonso Schiavi; Hyman M Schipper; Hana Schmeisser; Jens Schmidt; Ingo Schmitz; Bianca E Schneider; E Marion Schneider; Jaime L Schneider; Eric A Schon; Miriam J Schönenberger; Axel H Schönthal; Daniel F Schorderet; Bernd Schröder; Sebastian Schuck; Ryan J Schulze; Melanie Schwarten; Thomas L Schwarz; Sebastiano Sciarretta; Kathleen Scotto; A Ivana Scovassi; Robert A Screaton; Mark Screen; Hugo Seca; Simon Sedej; Laura Segatori; Nava Segev; Per O Seglen; Jose M Seguí-Simarro; Juan Segura-Aguilar; Ekihiro Seki; Christian Sell; Iban Seiliez; 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Keiji Tanaka; Masaki Tanaka; Daolin Tang; Dingzhong Tang; Guomei Tang; Isei Tanida; Kunikazu Tanji; Bakhos A Tannous; Jose A Tapia; Inmaculada Tasset-Cuevas; Marc Tatar; Iman Tavassoly; Nektarios Tavernarakis; Allen Taylor; Graham S Taylor; Gregory A Taylor; J Paul Taylor; Mark J Taylor; Elena V Tchetina; Andrew R Tee; Fatima Teixeira-Clerc; Sucheta Telang; Tewin Tencomnao; Ba-Bie Teng; Ru-Jeng Teng; Faraj Terro; Gianluca Tettamanti; Arianne L Theiss; Anne E Theron; Kelly Jean Thomas; Marcos P Thomé; Paul G Thomes; Andrew Thorburn; Jeremy Thorner; Thomas Thum; Michael Thumm; Teresa Lm Thurston; Ling Tian; Andreas Till; Jenny Pan-Yun Ting; Vladimir I Titorenko; Lilach Toker; Stefano Toldo; Sharon A Tooze; Ivan Topisirovic; Maria Lyngaas Torgersen; Liliana Torosantucci; Alicia Torriglia; Maria Rosaria Torrisi; Cathy Tournier; Roberto Towns; Vladimir Trajkovic; Leonardo H Travassos; Gemma Triola; Durga Nand Tripathi; Daniela Trisciuoglio; Rodrigo Troncoso; Ioannis P Trougakos; Anita C Truttmann; Kuen-Jer Tsai; Mario P Tschan; Yi-Hsin Tseng; Takayuki Tsukuba; Allan Tsung; Andrey S Tsvetkov; Shuiping Tu; Hsing-Yu Tuan; Marco Tucci; David A Tumbarello; Boris Turk; Vito Turk; Robin Fb Turner; Anders A Tveita; Suresh C Tyagi; Makoto Ubukata; Yasuo Uchiyama; Andrej Udelnow; Takashi Ueno; Midori Umekawa; Rika Umemiya-Shirafuji; Benjamin R Underwood; Christian Ungermann; Rodrigo P Ureshino; Ryo Ushioda; Vladimir N Uversky; Néstor L Uzcátegui; Thomas Vaccari; Maria I Vaccaro; Libuše Váchová; Helin Vakifahmetoglu-Norberg; Rut Valdor; Enza Maria Valente; Francois Vallette; Angela M Valverde; Greet Van den Berghe; Ludo Van Den Bosch; Gijs R van den Brink; F Gisou van der Goot; Ida J van der Klei; Luc Jw van der Laan; Wouter G van Doorn; Marjolein van Egmond; Kenneth L van Golen; Luc Van Kaer; Menno van Lookeren Campagne; Peter Vandenabeele; Wim Vandenberghe; Ilse Vanhorebeek; Isabel Varela-Nieto; M Helena Vasconcelos; Radovan Vasko; Demetrios G Vavvas; Ignacio Vega-Naredo; Guillermo Velasco; Athanassios D Velentzas; Panagiotis D Velentzas; Tibor Vellai; Edo Vellenga; Mikkel Holm Vendelbo; Kartik Venkatachalam; Natascia Ventura; Salvador Ventura; Patrícia St Veras; Mireille Verdier; Beata G Vertessy; Andrea Viale; Michel Vidal; Helena L A Vieira; Richard D Vierstra; Nadarajah Vigneswaran; Neeraj Vij; Miquel Vila; Margarita Villar; Victor H Villar; Joan Villarroya; Cécile Vindis; Giampietro Viola; Maria Teresa Viscomi; Giovanni Vitale; Dan T Vogl; Olga V Voitsekhovskaja; Clarissa von Haefen; Karin von Schwarzenberg; Daniel E Voth; Valérie Vouret-Craviari; Kristina Vuori; Jatin M Vyas; Christian Waeber; Cheryl Lyn Walker; Mark J Walker; Jochen Walter; Lei Wan; Xiangbo Wan; Bo Wang; Caihong Wang; Chao-Yung Wang; Chengshu Wang; Chenran Wang; Chuangui Wang; Dong Wang; Fen Wang; Fuxin Wang; Guanghui Wang; Hai-Jie Wang; Haichao Wang; Hong-Gang Wang; Hongmin Wang; Horng-Dar Wang; Jing Wang; Junjun Wang; Mei Wang; Mei-Qing Wang; Pei-Yu Wang; Peng Wang; Richard C Wang; Shuo Wang; Ting-Fang Wang; Xian Wang; Xiao-Jia Wang; Xiao-Wei Wang; Xin Wang; Xuejun Wang; Yan Wang; Yanming Wang; Ying Wang; Ying-Jan Wang; Yipeng Wang; Yu Wang; Yu Tian Wang; Yuqing Wang; Zhi-Nong Wang; Pablo Wappner; Carl Ward; Diane McVey Ward; Gary Warnes; Hirotaka Watada; Yoshihisa Watanabe; Kei Watase; Timothy E Weaver; Colin D Weekes; Jiwu Wei; Thomas Weide; Conrad C Weihl; Günther Weindl; Simone Nardin Weis; Longping Wen; Xin Wen; Yunfei Wen; Benedikt Westermann; Cornelia M Weyand; Anthony R White; Eileen White; J Lindsay Whitton; Alexander J Whitworth; Joëlle Wiels; Franziska Wild; Manon E Wildenberg; Tom Wileman; Deepti Srinivas Wilkinson; Simon Wilkinson; Dieter Willbold; Chris Williams; Katherine Williams; Peter R Williamson; Konstanze F Winklhofer; Steven S Witkin; Stephanie E Wohlgemuth; Thomas Wollert; Ernst J Wolvetang; Esther Wong; G William Wong; Richard W Wong; Vincent Kam Wai Wong; Elizabeth A Woodcock; Karen L Wright; Chunlai Wu; Defeng Wu; Gen Sheng Wu; Jian Wu; Junfang Wu; Mian Wu; Min Wu; Shengzhou Wu; William Kk Wu; Yaohua Wu; Zhenlong Wu; Cristina Pr Xavier; Ramnik J Xavier; Gui-Xian Xia; Tian Xia; Weiliang Xia; Yong Xia; Hengyi Xiao; Jian Xiao; Shi Xiao; Wuhan Xiao; Chuan-Ming Xie; Zhiping Xie; Zhonglin Xie; Maria Xilouri; Yuyan Xiong; Chuanshan Xu; Congfeng Xu; Feng Xu; Haoxing Xu; Hongwei Xu; Jian Xu; Jianzhen Xu; Jinxian Xu; Liang Xu; Xiaolei Xu; Yangqing Xu; Ye Xu; Zhi-Xiang Xu; Ziheng Xu; Yu Xue; Takahiro Yamada; Ai Yamamoto; Koji Yamanaka; Shunhei Yamashina; Shigeko Yamashiro; Bing Yan; Bo Yan; Xianghua Yan; Zhen Yan; Yasuo Yanagi; Dun-Sheng Yang; Jin-Ming Yang; Liu Yang; Minghua Yang; Pei-Ming Yang; Peixin Yang; Qian Yang; Wannian Yang; Wei Yuan Yang; Xuesong Yang; Yi Yang; Ying Yang; Zhifen Yang; Zhihong Yang; Meng-Chao Yao; Pamela J Yao; Xiaofeng Yao; Zhenyu Yao; Zhiyuan Yao; Linda S Yasui; Mingxiang Ye; Barry Yedvobnick; Behzad Yeganeh; Elizabeth S Yeh; Patricia L Yeyati; Fan Yi; Long Yi; Xiao-Ming Yin; Calvin K Yip; Yeong-Min Yoo; Young Hyun Yoo; Seung-Yong Yoon; Ken-Ichi Yoshida; Tamotsu Yoshimori; Ken H Young; Huixin Yu; Jane J Yu; Jin-Tai Yu; Jun Yu; Li Yu; W Haung Yu; Xiao-Fang Yu; Zhengping Yu; Junying Yuan; Zhi-Min Yuan; Beatrice Yjt Yue; Jianbo Yue; Zhenyu Yue; David N Zacks; Eldad Zacksenhaus; Nadia Zaffaroni; Tania Zaglia; Zahra Zakeri; Vincent Zecchini; Jinsheng Zeng; Min Zeng; Qi Zeng; Antonis S Zervos; Donna D Zhang; Fan Zhang; Guo Zhang; Guo-Chang Zhang; Hao Zhang; Hong Zhang; Hong Zhang; Hongbing Zhang; Jian Zhang; Jian Zhang; Jiangwei Zhang; Jianhua Zhang; Jing-Pu Zhang; Li Zhang; Lin Zhang; Lin Zhang; Long Zhang; Ming-Yong Zhang; Xiangnan Zhang; Xu Dong Zhang; Yan Zhang; Yang Zhang; Yanjin Zhang; Yingmei Zhang; Yunjiao Zhang; Mei Zhao; Wei-Li Zhao; Xiaonan Zhao; Yan G Zhao; Ying Zhao; Yongchao Zhao; Yu-Xia Zhao; Zhendong Zhao; Zhizhuang J Zhao; Dexian Zheng; Xi-Long Zheng; Xiaoxiang Zheng; Boris Zhivotovsky; Qing Zhong; Guang-Zhou Zhou; Guofei Zhou; Huiping Zhou; Shu-Feng Zhou; Xu-Jie Zhou; Hongxin Zhu; Hua Zhu; Wei-Guo Zhu; Wenhua Zhu; Xiao-Feng Zhu; Yuhua Zhu; Shi-Mei Zhuang; Xiaohong Zhuang; Elio Ziparo; Christos E Zois; Teresa Zoladek; Wei-Xing Zong; Antonio Zorzano; Susu M Zughaier
Journal:  Autophagy       Date:  2016       Impact factor: 16.016

10.  Rax-CreERT2 knock-in mice: a tool for selective and conditional gene deletion in progenitor cells and radial glia of the retina and hypothalamus.

Authors:  Thomas Pak; Sooyeon Yoo; Ana L Miranda-Angulo; Ana M Miranda-Angulo; Hong Wang; Seth Blackshaw
Journal:  PLoS One       Date:  2014-04-03       Impact factor: 3.240

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  13 in total

Review 1.  Glial cells as integrators of peripheral and central signals in the regulation of energy homeostasis.

Authors:  Sreekala Nampoothiri; Ruben Nogueiras; Markus Schwaninger; Vincent Prevot
Journal:  Nat Metab       Date:  2022-07-25

2.  Lack of adrenal TSPO/PBR expression in hamsters reinforces correlation to triglyceride metabolism.

Authors:  Prasanthi P Koganti; Vimal Selvaraj
Journal:  J Endocrinol       Date:  2020-10       Impact factor: 4.286

Review 3.  Purinergic signaling in tanycytes and its contribution to nutritional sensing.

Authors:  Magdiel Salgado; María Á García-Robles; Juan C Sáez
Journal:  Purinergic Signal       Date:  2021-05-21       Impact factor: 3.765

4.  Cholesterol-binding translocator protein TSPO regulates steatosis and bile acid synthesis in nonalcoholic fatty liver disease.

Authors:  Yuchang Li; Liting Chen; Lu Li; Chantal Sottas; Stephanie K Petrillo; Anthoula Lazaris; Peter Metrakos; Hangyu Wu; Yuji Ishida; Takeshi Saito; Lucy Golden-Mason; Hugo R Rosen; Jeremy J Wolff; Cristina I Silvescu; Samuel Garza; Garett Cheung; Tiffany Huang; Jinjiang Fan; Martine Culty; Bangyan Stiles; Kinji Asahina; Vassilios Papadopoulos
Journal:  iScience       Date:  2021-05-01

Review 5.  TSPO protein binding partners in bacteria, animals, and plants.

Authors:  Carrie Hiser; Beronda L Montgomery; Shelagh Ferguson-Miller
Journal:  J Bioenerg Biomembr       Date:  2021-06-30       Impact factor: 2.945

Review 6.  The Translocator Protein (TSPO) in Mitochondrial Bioenergetics and Immune Processes.

Authors:  Calina Betlazar; Ryan J Middleton; Richard Banati; Guo-Jun Liu
Journal:  Cells       Date:  2020-02-24       Impact factor: 6.600

7.  Translocator protein (TSPO): the new story of the old protein in neuroinflammation.

Authors:  Younghwan Lee; Youngjin Park; Hyeri Nam; Ji-Won Lee; Seong-Woon Yu
Journal:  BMB Rep       Date:  2020-01       Impact factor: 4.778

8.  Palmitate-induced autophagy liberates monounsaturated fatty acids and increases Agrp expression in hypothalamic cells.

Authors:  Seokjae Park; Tae Seok Oh; Seolsong Kim; Eun-Kyoung Kim
Journal:  Anim Cells Syst (Seoul)       Date:  2019-12-01       Impact factor: 1.815

9.  Palmitate reduces starvation-induced ER stress by inhibiting ER-phagy in hypothalamic cells.

Authors:  Yun Lim; Seolsong Kim; Eun-Kyoung Kim
Journal:  Mol Brain       Date:  2021-04-06       Impact factor: 4.041

Review 10.  Lipid Droplets in Neurodegenerative Disorders.

Authors:  Brandon C Farmer; Adeline E Walsh; Jude C Kluemper; Lance A Johnson
Journal:  Front Neurosci       Date:  2020-07-29       Impact factor: 4.677

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