Abstract
Autophagy, a highly conserved intracellular self-digestion process, plays an integral role in maintaining cellular homeostasis. Although emerging evidence indicate that the endocrine system regulates autophagy in mammals, there is still a scarcity of information on autophagy in avian (non-mammalian) species. Here, we show that intracerebroventricular administration of leptin reduces feed intake, modulates the expression of feeding-related hypothalamic neuropeptides, activates leptin receptor and signal transducer and activator of transcription (Ob-Rb/STAT) pathway, and significantly increases the expression of autophagy-related proteins (Atg3, Atg5, Atg7, beclin1, and LC3B) in chicken hypothalamus, liver, and muscle. Similarly, leptin treatment activates Ob-Rb/STAT pathway and increased the expression of autophagy-related markers in chicken hypothalamic organotypic cultures, muscle (QM7) and hepatocyte (Sim-CEL) cell cultures as well as in Chinese Hamster Ovary (CHO-K1) cells-overexpressing chicken Ob-Rb and STAT3. To define the downstream mediator(s) of leptin's effects on autophagy, we determined the role of the master energy sensor AMP-activated protein kinase (AMPK). Leptin treatment significantly increased the phosphorylated levels of AMPKα1/2 at Thr172 site in chicken hypothalamus and liver, but not in muscle. Likewise, AMPKα1/2 was activated by leptin in chicken hypothalamic organotypic culture and Sim-CEL, but not in QM7 cells. Blocking AMPK activity by compound C reverses the autophagy-inducing effect of leptin. Together, these findings indicate that AMPK mediates the effect of leptin on chicken autophagy in a tissue-specific manner.
Keywords: leptin, autophagy, AMPK, ICV injection, cell cultures, chickens
Introduction
Autophagy is a highly conserved intracellular self-digestion process by which cells degrade and recycle their own constituents, including damaged organelles, within lysosomes (Levine and Klionsky, 2004; Levine and Kroemer, 2008). There are three types of autophagy; macro-autophagy, micro-autophagy, and chaperone-mediated autophagy (Cuervo, 2011; Boya et al., 2013). Macro- and micro-autophagy involve the engulfment of large structures through both selective (specific organelles such as mitochondria or Golgi apparatus referred to as mitophagy or golgiphagy, respectively) and non-selective mechanisms (bulk cytoplasm), however chaperone-mediated autophagy degrades soluble proteins (Kraft et al., 2008; Orenstein et al., 2013; Baumann, 2015; Khaminets et al., 2015). Unlike the micro-autophagy which is mediated by direct lysosome engulfment of the cytosolic cargo via invagination in their limiting membrane, macro-autophagy (hereafter autophagy) refers to the sequestration within a double-membrane structures called autophagosome which enclose cellular material and fuse with lysosomes (Mortimore et al., 1988; Todde et al., 2009). The autophagic machinery is encoded by several autophagy-related (Atg) genes that orchestrate the different sequential steps of autophagy (Ohsumi, 2014). The first two steps, initiation (step 1) and nucleation (step 2), involve the recruitment of cytosolic components of the core autophagic Atg1 kinase complex (Atg1, Atg13, Atg17, Atg29, and Atg31) to the omegasomes (Mao et al., 2013). These components recruit additional proteins, involving transport protein particle III (TRAPPIII) and Rab1 GTPase which carry coat protein complex II (COPII), Atg9 vesicles, and then the activation of the class III phosphoinositide 3-kinase (PI3k) complex I (Atg6, Atg14, Atg38, vacuolar protein sorting (Vps) 15 and 34), to initiate the expansion and elongation of the double-membrane phagophore (step 3) (Kaufmann et al., 2014; Feng et al., 2016). Activation of PI3K complex I generates the phosphatidylinositol 3-phosphate required to recruit additional autophagic cores including Atg2-Atg18 complex, Atg5-Atg12 conjugation systems (Atg3, Atg4, Atg5, Atg7, Atg10, Atg12, and Atg16), microtubule-associated protein 1 light chain 3 (LC3)-phosphatidylethanolamine (PE) complex, and the ubiquitin-like (UBL) conjugation systems. As a result of this activation, cargo designed for autophagy is surrounded, engulfed, and entrapped into a completed and mature autophagosome (step 4) (Kabeya et al., 2000; Axe et al., 2008; Farre and Subramani, 2016). During the step 5, docking and fusion, autophagosome moves via dynein motor proteins (Ravikumar et al., 2005; Kimura et al., 2008) toward the microtubule organizing center where the lysosomes are enriched. The outer autophagosomal membrane fuses with that of the lysosome in reaction involving several proteins such as ESCRT (Lee et al., 2007), SNAREs (Nair et al., 2011; Itakura et al., 2012), Rab7 (Gutierrez et al., 2004; Jäger et al., 2004), and Vps (Liang et al., 2008) leading, in turn, to the releases of autophagic body into lysosomal lumen for hydrolase degradation and recycling of macromolecular components for cellular use.
Autophagy plays a pivotal role in maintaining cellular metabolism and homeostasis and thereby participates in plethora of (patho)physiological processes ranging from starvation adaptation, intracellular protein and organelle clearance, cell differentiation and development, innate and adaptive immunity, tumor suppression, and lifespan extension (Deretic and Levine, 2009; Pimkina and Murphy, 2009; Hailey et al., 2010; Cinque et al., 2015; Kimmey et al., 2015; Palikaras et al., 2015; Garcia-Prat et al., 2016). Autophagy dysregulation is linked with various diseases such as cancer, metabolic syndrome, cardiomyopathy, muscular disorders, and neurodegeneration (Tanaka et al., 2000; Hara et al., 2006; Singh et al., 2009; Levine et al., 2011; He et al., 2012; Oka et al., 2012; Rosenfeldt et al., 2013). Although the regulation of autophagy is highly complicated, the most typical trigger of autophagy is nutrient (amino acids, nitrogen, and carbon) starvation. Autophagy is also elicited in response to environmental cues such as radiation (Paglin et al., 2001; Jinno-Oue et al., 2010) and reactive oxygen species (Scherz-Shouval et al., 2007). It is now accepted that the endocrine system, particularly insulin (Nemazanyy et al., 2015; Fritzen et al., 2016) and leptin (Malik et al., 2011; Cassano et al., 2014; Słupecka et al., 2014; Nepal et al., 2015) manage autophagy regulation. The autophagy field has explosively expanded and the mass of data are predominantly from studies in mammals and yeast. In contrast, there is a scarcity of information on autophagy in avian (non-mammalian) species. After the characterization of avian autophagy-related genes (Piekarski et al., 2014a), we undertook the current study to determine the effects of leptin and to define its downstream signaling pathway on autophagy machinery in chickens. Because leptin is an anorexigenic hormone and because autophagy plays a key role in cell adaptation to a plethora of stressors including food deprivation (Kuma et al., 2004), we hypothesized that leptin might activate autophagy.
Materials and methods
Animals and intracerebroventricular (ICV) injection procedure
Five day post-hatch male Hubbard x Cobb500 chicks were randomly divided into two body-weight (156 ± 5 g average BW) matched groups and assigned to ICV treatment with artificial cerebrospinal fluid (aCSF) as vehicle or leptin treatment (n = 10/group). Briefly, recombinant ovine leptin (Protein Laboratory Rehovot, Israel) was dissolved in aCSF as a vehicle for a total injection volume of 5 μL (625 pmol) with 0.1% Evans Blue dye to facilitate injection site localization. Chicks were freehand ICV injected using an adapted method that does not appear to induce physiological stress (Davis et al., 1979). The head of the chick was briefly inserted into a restraining device which approximately orients the skull as described by Kuenzel and Masson (1988). The injection coordinate were 3 mm anterior to the coronal suture, 1 mm lateral from the midline sagittal suture, and 2 mm deep from the external surface of the skull targeting the left lateral ventricle. Anatomical landmarks were determined visually and by palpation. Injection depth was controlled by placing a plastic tubing sheath over the needle. The needle remained at the injection depth in the chick for 5 s post injection to reduce backflow. Feed intake was recorded at 30, 60, and 180 min after injection. After data collection, the birds were euthanized by cervical dislocation and the injection site was verified by brain section made along the frontal plane. Any chick without dye present in the lateral ventricle system was discarded. Hypothalamus, liver, and muscle tissues from dye-positive chicks were harvested and kept at −80°C until use. The dissection of chicken hypothalamus was based on the stereotaxic atlas of the brain of the chick (Kuenzel and Masson, 1988). The hypothalamus defined by the posterior margin of the optic chiasm and the anterior margin of the mammillary bodies to the depth of approximately of 2–4 mm was dissected (Figure S1).
The present study was conducted in accordance with the recommendations in the guide for the care and use of laboratory animals of the National Institutes of Health and the protocols were approved by the University of Arkansas Animal Care and Use Committee under protocol 16084 and the Virginia Tech Institutional Animal Care and Use Committee under protocol 15-236.
Hypothalamic organotypic culture and treatment
A brain slice culture experiment was performed using 3–5 day old chicks as previously described (Nagarajan et al., 2017). Birds were cervically dislocated, brains were dissected out of the cranium and placed in ice cold aCSF saturated with 95% O2 and 5% CO2. Brains were then glued using Loctite superglue to a vibratome stage and immediately covered with ice cold aCSF. The vibratome chamber was maintained in an ice cold condition at all time. Brains were sectioned at 350 μm thickness and sections were dissected to contain the posterior mediobasal hypothalamus including the infundibular nucleus, equivalent to the mammalian arcuate nucleus. Slices were then placed on each cell culture insert (Millipore PICM03050) saturated with 1 mL standard culture media (SCM) (50% Eagle basal medium, 25% Hanks Blank salt solution, 25% heat inactivated horse serum, 25U/mL penicillin, 0.5% glucose and 0.5 mM L-glutamine) and maintained at 36°C and 5% CO2. The procedure was performed in less than 1 h. Culture media was replaced every 2 or 3 days. Sixteen hours prior to the treatments, SCM was replaced with serum free media (SFM) (100% Eagle basal medium, 25U/ml penicillin, 0.5% glucose and 0.5 mM L-glutamine). Treatments with recombinant ovine leptin alone or in combination with AMPK inhibitors were applied as described below.
Cell lines and culture conditions
Avian myogenic QM7 (Antin and Ordahl, 1991), hepatocyte Sim-CEL (Piekarski et al., 2014b), and Chinese hamster ovary CHO-K1 cell lines were grown in their appropriate media complemented with 10% FBS (Life Technologies, Waltham, MA) and 1% penicillin-streptomycin (Biobasic, Amherst, NY) at 37°C under a humidified atmosphere of 5% CO2 and 95% air, as previously described (Adachi et al., 2008; Piekarski et al., 2014b; Lassiter et al., 2015). At 80–90% confluence, cells were synchronized overnight in serum-free media and treated with leptin alone or in combination with AMPK inhibitors as described below.
Plasmids preparation and transient transfection
Expression vectors containing the chicken leptin receptor cDNA (pCI-chLEPR called hereafter p-ObR), green fluorescent protein (GFP)-fused chicken signal transducer and activator of transcription 3 cDNA (p-STAT3), and both (p-ObR+STAT3) have been described previously (Adachi et al., 2008; Ohkubo et al., 2014). The backbone vectors pCI-neo and pEGFP-N1 were obtained from Promega (Tokyo, Japan) and were used as controls. QM7, Sim-CEL, and CHO-K1 cells were transiently transfected with p-ObR, p-STAT3, p-ObR+STAT3, or their corresponding backbones using Lipofectamine 2000 (ThermoFisher Scientific, Waltham, MA) according to the manufacturer's protocol. Six hours post transfection, the medium was replaced with serum-free medium and treatments with leptin alone or in combination with AMPK inhibitors were applied.
Leptin and AMPK inhibitor treatments
Hypothalamic explants, non-transfected and transfected cells (QM7, Sim-CEL, and CHO-K1) were pretreated with compound C (AMPK inhibitor, 20 μM) for 90 min and then treated with recombinant ovine leptin (100 ng/mL, Protein Laboratory Rehovot, Israel) for 24 h. Untreated cells were used as controls. 5-Aminoimidazole-4-carboxamide ribonucleotide (AICAR, 50–250 μM) were used as positive controls.
RNA isolation, reverse transcription, and real-time quantitative PCR
Total RNA extraction from the hypothalamic explants was conducted as we previously described (Kaneko et al., 2011) with some modifications. Briefly, 24 h after leptin treatment, hypothalamic explants were rinsed twice with ice-cold PBS, and harvested in 1.5 mL lysis buffer (10 mM Tris-HCl (pH 8.0), 140 mM NaCl, 1.5 mM MgCl2, 0.5% Igepal, 2 mM vanadyl ribonuleoside complex (VRC, ThermoFisher Scientific, Waltham, MA)) using bullet blender (Nextadvance, NY). One-tenth of the lysate was added to 1 mL Trizol reagent (ThermoFisher Scientific, Waltham, MA) for total RNA isolation according to manufacturer's recommendations. The rest of the lysate was used for immunoblot as described in the following section. Cell lines were rinsed with cold PBS and harvested directly in Trizol by scraping and gentle pipetting as we previously described (Lassiter et al., 2015). RNA was treated with RQ1 DNAse and reverse transcribed (Quanta Biosciences, Gaithersburg, MD). RNA integrity and quality was evaluated using 1% agarose gel electrophoresis and RNA concentrations and purity were measured for each sample by Take 3 micro volume plate using Synergy HT multi-mode microplate reader (BioTek, Winooski, VT). The RT (cDNA) products were subjected to real-time quantitative PCR (Applied Biosystems 7500 Real-Time PCR system) with SYBR Green Master Mix (ThermoFisher Scientific, Waltham, MA). Oligonucleotide primers used for chicken Atg3, Atg7, Beclin 1, LC3a, LC3b, LC3c, Ob-Rb, STAT1, STAT3, STAT5, and STAT6 are presented in Table 1. Oligonucleotide primers used for chicken feeding-related hypothalamic neuropeptides (NPY, AgRP, POMC, CART, CRH, ORX, and ORXR1/2) as well as the housekeeping gene r18S were previously published (Nguyen et al., 2015; Piekarski et al., 2016). The cycling parameters for the qPCR amplification were as follow: an initial incubation at 50°C for 2 min, an initial denaturation step (95°C, 10 min) followed by 40 cycles of denaturation (95°C, 15 s) and annealing (58°C, 1 min). Melting curve analysis was applied, at the end of the amplification, by using the dissociation protocol (Sequence Detection system) to exclude contamination with unspecific PCR products. The PCR products were also confirmed by 2% agarose gel which exhibit only one definite band of the predicted size and by sequencing. There was no gel-detected bands for the negative controls where the RT products were omitted. Relative expressions of target genes were determined by the 2−ΔΔCt method (Schmittgen and Livak, 2008).
Table 1.
Gene | Accession numbera | Primer sequence (5′ → 3′) | Orientation | Product size (bp) |
---|---|---|---|---|
Atg3 | NM_001278070 | GAACGTCATCAACACGGTGAA TGAGGACGGGAGTGAGGTACTC | Forward Reverse | 65 |
Atg7 | NM_001030592 | CGATGAACCCAAAAGGTCAGA ACTGGCAATGCGTGTTTCAG | Forward Reverse | 57 |
Beclin 1 | NM_001006332 | TGCATGCCCTTGCTAACAAA CCATACGGTACAAGACGGTATCTTT | Forward Reverse | 61 |
LC3a | XM_417327 | CCTTGTCCCAGACCATGTCAA AGCGGCGCCGGATT | Forward Reverse | 56 |
LC3b | NM_001031461 | AACTCCAACCAGGCCTTCTTC GTGGAGACGCTCACCATGCT | Forward Reverse | 59 |
LC3c | XM_419549 | CCTGTTGGACAAAACCAAGTTTC ATGGTGATGAACTGCGTCATG | Forward Reverse | 63 |
Ob-Rb | NM_204323 | GCAAGACCCTCTCCCTTATCTCT TCTGTGAAAGCATCATCCTGATCT | Forward Reverse | 70 |
STAT1 | NM_001012914 | AGTTCACCAGCTGTACGATGACA TCCAGCCACTGTGCCAAGTA | Forward Reverse | 66 |
STAT3 | AY641397 | GCATGTCGTTTGCGGAAAT CAGAATGTTGGTGGCATCCA | Forward Reverse | 59 |
STAT5 | AF074248 | TCACCATCGCGTGGAAGTT GGTGGTGAAAGGCATCAGGTT | Forward Reverse | 65 |
STAT6 | XM_003643566 | AGGCAGCTGCGCAACCT ATCCGAACGCCTGATCCTT | Forward Reverse | 52 |
Accession number refer to Genbank (NCBI).
Atg3 and 7, autophagy related gene; LC3a, b, and c, microtubule associated protein 1 light chain 3; Ob-Rb, leptin receptor; STAT, signal transducer and activator of transcription.
Western blot
Total proteins were quantified and subjected to Western blot as we previously described (Kaneko et al., 2011; Dridi et al., 2012; Nguyen et al., 2015). The rabbit polyclonal anti-Atg3 (#3415), anti-Atg5 (#12994), anti-Atg7 (#8558), anti-beclin 1(#3495), anti-LC3B (#3868), anti-Ob-Rb (#sc-8325), anti-phospho STAT3Tyr705 (#9145), anti-STAT3 (#4904), anti-phospho AMP-activated protein kinase alpha (AMPKα1/2)Thr172 (#2531), and anti-AMPKα1/2 (#2795) were used at 1:1,000 dilution. To avoid any inter-assay variability, the immunoblots were performed using the same membrane. After each immunoblot, the membrane was stripped and verified for the absence of signal and re-probed with the next antibody. At the end, protein loading was assessed by re-immunoblotting with the use of rabbit anti-β actin (#4967) or anti-GAPDH (#sc-25778) as housekeeping proteins. Pre-stained molecular weight marker (Precision Plus Protein Dual Color) was used as a standard (BioRad, Hercules, CA) and as indicator for transfer efficiency. All primary antibodies were purchased from Cell Signaling Technology (Danvers, MA), except for the anti-Ob-Rb and anti-GAPDH which were purchased from Santa Cruz Biotechnology (Dallas, TX). The secondary antibodies were used (1:5,000) for 1 h at room temperature. The signal was visualized by enhanced chemiluminescence (ECL plus) (GE Healthcare Bio-Sciences, Buckinghamshire, UK) and captured by FluorChem M MultiFluor System (Proteinsimple, Santa Clara, CA). Image Acquisition and Analysis were performed by AlphaView software (Version 3.4.0, 1993-2011, Proteinsimple, Santa Clara, CA).
Immunofluorescence staining
Immunofluorescence was conducted as previously described (Dridi et al., 2012). Briefly, Sim-CEL, QM7, or CHO-K1 cells were cultured to 50–60% confluency in chamber slides (Lab-Tek, Hatfield, PA) and fixed in methanol for 10 min at −20°C. Cells were blocked with protein block serum free blocking buffer (Dako, Carpinteria, CA) and incubated with rabbit anti-Atg3, anti-Atg5, anti-Atg7, anti-beclin1, anti-LC3B, anti-Ob-Rb, or anti-pSTAT3Tyr705 antibody (1:200) overnight at 4°C and visualized with Alexa Fluor 488 or 594-conjugated secondary antibody (Molecular probes, Life Technologies, grand Island, NY). After DAPI counterstaining, slides were cover slipped in Vectashield (Vector Laboratories, Burlingame, CA). Images were obtained using the Zeiss Imager M2. All analysis was performed using AxioVision SE64 4.9.1 SP1 software (Carl Zeiss Microscopy GmbH 2006-2013). The intensity of phospho-STAT3 was normalized to that of STAT3, and the ratio was presented after normalization to 1 in the control group and adjustment for the treated group.
Statistical analyses
Data were analyzed by one-way analysis of variance (ANOVA). Significant differences among individual group means were determined with Student t-test or Student Newman Keuls post hoc test using the Graph Pad Prism version 6.00 for Windows, Graph Pad Software (La Jolla, CA). Significance was set at P < 0.05. Data are expressed as the mean ± SEM.
Results
ICV-leptin administration reduced feed intake and modulated the expression of feeding-related hypothalamic neuropeptides in chickens
As shown in Figure 1A, leptin significantly reduced feed intake compared to the placebo (aCSF)-treated group at 30 min post administration. However, there was no significant effect of the hormone on feed intake at 60 and 180 min post treatment. Similarly, there was no significant difference in body weights between the two groups (158.3 ± 3.25 vs. 153.5 ± 1.75 for control and leptin-treated group, respectively). The hypothalamic expression of neuropeptide Y (NPY), corticotropin releasing hormone (CRH), orexin (ORX) and its related receptors ORXR1 and ORXR2 was significantly upregulated in leptin-treated compared to the control group at 180 min post treatment (Figure 1B). However, the expression of proopiomelanocortin (POMC), agouti-related protein (AgRP), and cocaine-and amphetamine-regulated transcript (CART) did not differ between the two groups (Figure 1B).
ICV leptin administration activated Ob-Rb and STAT signaling cascade in chicken tissues
ICV leptin administration significantly upregulated the expression of the long leptin receptor isoform (mRNA and protein) in the chicken hypothalamus (Figures 1C,D), liver (Figures 1F,G), and muscle (Figures 1I,J). Similarly, central leptin administration significantly increased mRNA abundances of STAT1, STAT3, STAT5, but not STAT6 in the hypothalamus (Figure 1E), STAT3 and STAT6 in the liver (Figure 1H), and STAT3 and STAT5 in the muscle (Figure 1K). Central leptin treatment induced STAT3 tyrosine 705 phosphorylation in all three studied tissues (Figures 1C,D,F,G,I,J).
ICV leptin administration induced autophagy in chicken tissues
The protein levels of key autophagy-related markers (Atg3, Atg5, Atg7, Beclin1, and LC3B) were significantly increased in the hypothalamus and liver of leptin-treated compared to control groups (Figures 2A–E). In the muscle, however, only Atg5 and LC3B protein expression was significantly induced by leptin treatment compared to the placebo (Figures 2G,H). Quantitative real-time PCR analyses showed that the mRNA abundances of hypothalamic Atg7, beclin1, LC3a, LC3b and LC3c, hepatic Atg3, Atg7, and LC3c, as well as the muscle beclin1 and LC3c were significantly increased in leptin-treated compared to control groups (Figures 2C,F,I).
Leptin treatment activated Ob-Rb and STAT signaling pathway in avian hypothalamic explants and Sim-CEL/QM7 cell lines
To determine whether the effect of leptin was direct or not, chicken hypothalamic explants as well as avian liver (Sim-CEL) and muscle (QM7) cell lines were cultured and treated in vitro with recombinant ovine leptin for 24 h. As shown in Figures 3A–C, 4A–C, 5A–C, and in line with in vivo data, leptin treatment activated Ob-Rb and STAT signaling pathway in chicken hypothalamic explants and avian Sim-CEL and QM7 cells lines. Indeed, leptin administration significantly increased Ob-Rb protein levels and induced STAT3 tyrosine 705-phosphorylation in the chicken hypothalamic explants, Sim-CEL and QM7 cells (Figures 3A,B, 4A,B, 5A,B). Real-time PCR analyses showed that leptin treatment upregulated the expression of STAT3, STAT5, and STAT6 genes in the hypothalamic explants (Figure 3C), STAT3 in Sim-CEL cells (Figure 4C), and STAT1 and STAT6 in QM7 cells (Figure 5C).
Leptin treatment induced autophagy in avian hypothalamic explants and Sim-CEL/QM7 cell lines
Leptin treatment increased Atg3, Atg7, beclin1, LC3a, LC3b, and LC3c mRNA levels in chicken hypothalamic explants (Figure 3F), Atg3 and LC3b in Sim-CEL cells (Figure 4G), and beclin1 in QM7 cells (Figure 5G). Western blot analyses showed that Atg5, beclin1, and LC3B protein expression was significantly upregulated in leptin-treated compared to untreated chicken hypothalamic explants (Figures 3D,E). In leptin-treated Sim-CEL and QM7 cells, however, the expression of all studied autophagy-related markers (Atg3, Atg5, Atg7, beclin1, and LC3B) was significantly increased compared to untreated cells (Figures 4D,E, 5D,E). The upregulated expression of these autophagy-related proteins along with Atg16L and the lysosome/endosome marker LAMP2 was confirmed by immunofluorescence staining in Sim-CEL and QM7 cell lines (Figures 4F, 5F, respectively).
Leptin treatment induced autophagy in CHO-K1 cells transfected with chicken OB-Rb and STAT3
As depicted in Figure 6A, CHO-K1 cells were efficiently transfected with chicken Ob-Rb and STAT3. The time course study showed that leptin treatment induced STAT3 phosphorylation at Y705 site in CHO-K1 cells transfected with chicken Ob-R/STAT3 and this activation occurred as early as 15 min post-treatment and was maintained for 24 h (Figure 6B). The time course induction of STAT3 coincided with that of Atg5 and LC3B (Figure 6B). Immunofluorescence staining showed that leptin treatment for 24 h activated the nuclear translocation of phosphorylated (Y705) STAT3 and upregulated the expression of Atg3, Atg5, Atg7, beclin1, and LC3B (Figure 6C). The upregulation of these autophagy-related markers following 24 h-leptin treatment was confirmed by Western blot analyses (Figures 6D,E). Similarly, chicken OB-Rb and STAT3 plasmid was successfully overexpressed in avian Sim-CEL and QM7 cells (Figures S2, S3). As for CHO-K1 cells, leptin treatment intensified further the increased expression of autophagy-related markers (Atg3, Atg5, Atg7, Beclin1, and LC3B) in Sim-CEL and QM7 cells (Figures 1, 2).
AMPK mediates leptin's effects on avian autophagy activation in a tissue-specific manner
ICV leptin administration significantly increased AMPKα1/2 phosphorylation at Thr172 site in chicken hypothalamus and liver, but not in muscle (Figures 7A–C). Consistent with these data, in vitro studies showed that leptin treatment for 24 h also activated AMPKα1/2 (Thr172) in chicken hypothalamic organotypic culture and liver Sim-CEL cells, but not in muscle QM7 cells (Figures 7D–F). Pre-treatment with compound C inhibited AMPK activation in hypothalamic organotypic cultures, Sim-CEL and QM7 cells and attenuated leptin-induced autophagy only in hypothalamic organotypic cultures and Sim-CEL, but not in QM7 cells (Figures 7G–I). AICAR treatment alone for 24 h activated AMPK in avian hypothalamic organotypic culture, Sim-CEL and QM7 cells in a dose-dependent manner (Figures S4A–F). This AMPK activation was accompanied by a significant increase in autophagy-related markers (Atg5 and beclin1) only in the hypothalamic organotypic cultures but not in Sim-CEL or QM7 cells (Figures S4A–F).
Discussion
This is the first report showing regulation of autophagy by leptin in avian (non-mammalian) species. Leptin is an adipocytokine that is primarily produced by mammalian white adipocytes (Zhang et al., 1994), although it is also expressed in several other tissues including the stomach (Bado et al., 1998), lungs (Vernooy et al., 2009), placenta (Hoggard et al., 1997a), and brain (Wiesner et al., 1999). Leptin is secreted into the blood stream in proportion to the size of white fat depots, and transported across the blood-brain barrier where it binds to its receptor and functions as a negative feedback signal in the regulation of energy balance.
There are multiple isoforms of the leptin receptors that have different length of the intracellular domain. The full-length isoform, (Ob-Rb), is the only receptor that contains intracellular motifs required for activation of the Janus kinase (JAK) and signal transducer and activator of transcription (STATs) signal transduction pathway, and is considered to be the functional receptor. Leptin receptors are ubiquitously expressed in many tissues including hypothalamus (Scott et al., 2009), liver, lung, spleen, kidney, adrenal (Hoggard et al., 1997b), adipocyte (Kielar et al., 1998), immune cells (Lord et al., 1998; Agrawal et al., 2011), and reproductive tissues (Zamorano et al., 1997). Together, the wide expression of leptin and its related receptors indicate that leptin plays myriad physiological roles. Beyond its central function as an anorexigenic and satiety factor, leptin has many pleiotropic effects in different physiological systems such as nutrient intestinal absorption, angiogenesis, lipolysis and lipogenesis, growth, reproduction, inflammation, and immunity (Friedman and Halaas, 1998).
Although the sequence of chicken leptin gene was a matter of intense debate for almost 20 years (Taouis et al., 1998; Ashwell et al., 1999; Seroussi et al., 2016), the chicken leptin receptor sequence however was found to have at least 60% homology with the mammalian orthologs with highly conserved motifs in the transmembrane domain (Horev et al., 2000; Ohkubo et al., 2000). Moreover, previous in vitro and in vivo studies have shown that chicken leptin receptor is responsive to recombinant mammalian (mouse, human, and ovine) leptins (Denbow et al., 2000; Dridi et al., 2000; Lohmus et al., 2003; Lõhmus et al., 2004; Manjunathan and Ragunathan, 2015). As the recombinant protein for the newly discovered chicken leptin (Seroussi et al., 2016) was not available at the time we undertook this study, we determined whether recombinant ovine leptin can modulate the autophagy pathway in vivo following ICV administration to broiler chickens. In agreement with previous studies (Denbow et al., 2000; Dridi et al., 2000; Lohmus et al., 2003), we have firstly shown that leptin administration reduced feed intake at 30 min post-treatment which indicated that the recombinant ovine leptin was biologically active. Secondly and as expected, ICV-injected leptin upregulated the expression of Atg3, Atg5, Atg7, Beclin 1, and LC3B in both the hypothalamus and liver, and only Atg5 and LC3B proteins in the muscle. This suggests that the regulation of autophagy-related proteins by leptin is tissue-specific (Tracy et al., 2016). This differential regulation might be associated with a non-uniform rate of protein turnover between tissues (Hamer et al., 2010). Furthermore, it might be that the spatio-temporal pattern of autophagic-multistep process varied substantially between tissues. For instance, the upregulation of Atg5 suggested an induction of the phagophore formation step in the muscle, however the upregulation of Atg3 and Atg7 indicated an LC3 lipidation and autophagocytosis process in the hypothalamus and liver. The upregulation of Beclin 1 expression, along with Ulk-1 (data not shown), in chicken liver and hypothalamus argues that leptin might recruit an additional pathway for autophagy activation that warrants further in-depth investigation (Kundu et al., 2008; Nishida et al., 2009). Although studies in mammals reported different effects (up or downregulation) of leptin on autophagy (Malik et al., 2011; Cassano et al., 2014; Słupecka et al., 2014), the overall increase in the three paralogs of avian LC3 (LC3a, b, and c) levels indicated that leptin induce autophagosome formation (Maier et al., 2013), which is a key readout of autophagy levels (Barth et al., 2010; Klionsky et al., 2016), in all studied chicken tissues.
Interestingly, the effect of leptin on autophagy activation seemed to be feed intake-independent because there was no significant difference in energy intake between the control and leptin-treated groups at the time of tissue collection (3 h post-treatment), suggesting that leptin might have a direct effect (Cassano et al., 2014). To test this hypothesis and in attempt to mechanistically define the downstream signaling pathways that mediate the effect of leptin on autophagy activation, we used chicken hypothalamic organotypic cultures as well as avian hepatocyte (Sim-CEL) and myoblast (QM7) cell lines. Similarly to the in vivo study, we found that leptin administration regulated the expression of autophagy-related proteins in a cell-specific manner; upregulation of Atg3, Atg5, Atg7, Beclin1, and LC3B in Sim-CEL and QM7 cells, and only Atg5, Beclin1, and LC3B in the hypothalamic explants. The upregulation of LC3B expression indicated that leptin activates autophagy in all in vitro (hypothalamic, Sim-CEL, and QM7) tissue cultures. The absence of correlation between mRNA abundances and protein levels of some autophagy-related markers observed in both in vivo and in vitro studies suggested that these proteins are regulated at translational and posttranslational levels (Feng et al., 2015; Xie et al., 2015).
To gain further insights in the mode of leptin action, we next determined the expression profile of Ob-Rb and STAT tyrosine kinase. Leptin treatment upregulated the expression of Ob-Rb at mRNA and protein levels in hypothalamic organotypic cultures, Sim-CEL and QM7 cells. However, the regulation of STAT gene expressions by leptin appear to be cell- and gene-specific. Indeed, leptin treatment increased STAT3, STAT5, and STAT6 mRNA abundances in chicken hypothalamic organotypic cultures, STAT3 in Sim-CEL cells, and STAT1 and STAT6 in QM7 cells. This result is not surprising since leptin has been previously shown to differentially regulate the expression of STAT genes (Sweeney, 2002) which might be due to differential ligand-receptor binding affinities. As STAT3 phosphorylation is a well-established mechanism mediating many of leptin's actions (Vaisse et al., 1996; Niswender et al., 2001), we subsequently determined the phospho (Tyr705)-STAT3 levels and found that leptin treatment activated STAT3 in all tested tissue cultures. Upon activation by leptin, STAT3 has been shown to dimerize and translocate to the nucleus where it regulates transcriptional activity of its target genes (Ihle, 1995). Next, we co-overexpressed chicken Ob-Rb and chicken STAT3 in Chinese hamster ovary (CHO-K1) cells and demonstrated that leptin administration activated Ob-Rb/STAT3 signaling pathway and induced autophagy-related protein expression. In support of these data, immunofluorescence staining showed a nuclear translocation of p-chicken STAT3 in CHO-K1 cells and LC3B puncta confirming again active autophagy and autophagosome formation upon leptin treatment. Similarly, the effect of leptin on autophagy was intensified in Sim-CEl and QM7 cells overexpressing chicken leptin receptor and STAT3 (Supplementary Figures). In line with these in vitro studies, we found that ICV- injected leptin signaled also via Ob-Rb and STAT3 pathway. These results confirm again that chicken leptin receptor is responsive to recombinant mammalian leptin (Adachi et al., 2008). Even with this compelling evidence we cannot rule out the involvement of other STATs and/or more than one intracellular signal transduction pathway in mediating the effect of leptin (Takahashi et al., 1997; Cui et al., 2006)
As autophagy is tightly linked to the intracellular energy status, we sought to determine whether the master energy sensor, AMPK (Hardie, 2007), plays a role in mediating leptin's effects. Central administration of leptin induced AMPKα1/2 phosphorylation at Thr172 site in both chicken hypothalamus and liver, but not in muscle. Comparable effects were also observed in the in vitro studies where AMPKα1/2 was activated in the hypothalamic explants and Sim-CEL, but not in QM7 cells following leptin treatment. Mechanistically, the effects of leptin on hypothalamic and hepatic autophagy activation were suppressed in vitro by inhibition of AMPK with compound C. These results indicate firstly that leptin has a tissue-specific effect on AMPK in chickens as previously shown in mammals but in an opposite direction (Minokoshi et al., 2002, 2004; Andersson et al., 2004). Secondly, these data suggest that the effect of leptin on muscle autophagy might be mediated through other signaling pathways independently of AMPK. Indeed, leptin was found to modulate Ca2+ signaling (Tudurí et al., 2013) and an AMPK-independent pathway triggers Ca2+-mediated autophagy has been recently reported (Grotemeier et al., 2010). Moreover, leptin has been shown to induce autophagy via the tumor suppressor P53/forkhead box O3A (FoxO3A) axis (Fiorini et al., 2013). The autophagic program has also been shown to be activated through additional complex signal transduction pathways that involve the intertwined activation of mitogen-activated protein kinases (Wei et al., 2008), dual-specific protein phosphatases (DUSPs) (Wang et al., 2016), nuclear factor-kB (NF-kB) (Criollo et al., 2010), and Sirtuin1 (Morselli et al., 2010) to mention a few. All these pathways have been found to interact with leptin (Sun et al., 2013; Marwarha et al., 2014). Even though much of what has been learned about the downstream targets of AMPK has come from the use of AICAR, it is worth noting that in our experimental conditions, the activation of AMPK by AICAR did not elicit any change in the expression of autophagy-related proteins in Sim-CEL, or QM7 cells (Figure S3). This differential effects between leptin and AICAR on the autophagic program activation might be due to the recruitment of different AMPK-downstream mediators. Such scenarios were previously observed in rat insulinoma INS-1E cells where both AICAR and Metformin phosphorylated AMPKα1/2, but they activated different downstream mechanisms (Dai et al., 2015). Although it is still unclear how leptin activates AMPK in our experimental conditions, the adenosine analog AICAR is well established to be up-taken by the cells through adenosine transporters (Gadalla et al., 2004) and phosphorylated by intracellular adenosine kinase into ZMP which binds to AMPK at the same sites as AMP, but with lower affinity (Corton et al., 1995). The involvement of ZMP in purine nucleotide synthesis might interfere with AMPK-downstream pathway leading to autophagy off-target effects. While all AMPK isoforms were characterized in chickens (Proszkowiec-Weglarz et al., 2006), it is still unknown which catalytic and regulatory subunits are predominant in the studied tissues which might probably explain their differential responsiveness to leptin vs. AICAR. In fact, the expression of AMPK isoforms has been shown to be tissue restricted with distinct functions (Suzuki et al., 2007; Lamia et al., 2009; Oakhill et al., 2010).
In conclusion, the finding of the present study are the first evidence of neuroendocrine upregulation of avian autophagy by leptin. Although AMPK is ubiquitously expressed and although leptin activated Ob-Rb/STAT3 signaling pathway in all studied tissues, its effect on AMPK is tissue-specific. The AMPK-independent downstream signaling cascades employed by leptin to induce autophagy in chicken muscle remains a critical underexplored area for future research. Similarly, how leptin activated the chicken hypothalamic and hepatic AMPK is not known and merits further in depth investigation.
Author contributions
SD conceived and designed the study. AP, GN, PI, EG, and JF conducted the in vitro experiments and analyzed the data. MC conducted the ICV injection and the animal experiment. SD wrote the paper with a critical review by MC, WB, WK, TO, and HM.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
Funding. This work was supported by Arkansas Bioscience Institute (ABI) under Grants (#FY2017 and FY2014) to SD and USDA postdoctoral Grant (#2015-03541) to AP.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphys.2018.00541/full#supplementary-material
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