Abstract
Adiponectin, an adipose tissue-derived hormone, plays integral roles in lipid and glucose metabolism in peripheral tissues, such as the skeletal muscle, adipose tissue, and liver. Moreover, it has also been shown to have an impact on metabolic processes in the central nervous system. Astrocytes comprise the most abundant cell type in the central nervous system and actively participate in metabolic processes between blood vessels and neurons. However, the ability of adiponectin to control nutrient metabolism in astrocytes has not yet been fully elucidated. In this study, we investigated the effects of adiponectin on multiple metabolic processes in hypothalamic astrocytes. Adiponectin enhanced glucose uptake, glycolytic processes and fatty acid oxidation in cultured primary hypothalamic astrocytes. In line with these findings, we also found that adiponectin treatment effectively enhanced synthesis and release of monocarboxylates. Overall, these data suggested that adiponectin triggers catabolic processes in astrocytes, thereby enhancing nutrient availability in the hypothalamus.
Keywords: adiponectin, astrocyte, energy metabolism, hypothalamus, glycolysis, metabolic diseases
1. Introduction
The brain constitutes a metabolically active organ that requires the highest energy demands in the human body. Although the adult brain represents approximately 2% of the total body weight, it consumes approximately a quarter of the total glucose used for its energy supply [1,2,3,4]. Therefore, nutrient availability in the central nervous system (CNS) is directly linked to the maintenance of life. As neurons expend high levels of energy resources, such as glucose and lactate, to initiate and propagate their action potentials [4,5], impairment of the energy supply can lead to perturbation of neuronal excitability. Consistent with these concepts, multiple brain disorders are also deeply associated with abnormalities of energy metabolism in the CNS.
Astrocytes, which comprise the most abundant cell type in the CNS, support normal neuronal functions by regulating the concentration of chemical substances in the synaptic cleft area and providing nutrients between blood vessels and neurons [4,5,6]. Although astrocytes are responsible for the metabolic processing of glucose absorbed by the brain [4,7], they do not require as much energy as they uptake. Rather, the primary driving factor underlying astrocyte participation in glucose uptake and utilization is the provision of energy sources from astrocytes to neurons.
Adiponectin, an adipokine predominantly secreted from adipocytes, has functional roles in regulating glucose and lipid metabolism along with insulin sensitivity. In particular, adiponectin facilitates systemic glucose and lipid homeostasis by regulating several major metabolic organs, such as adipose tissue, liver, and muscle [7,8,9,10,11]. Accordingly, adiponectin elicits beneficial effects in multiple metabolic diseases and their related secondary complications. For example, adiponectin improves hyperglycemia by alleviating glucose intolerance and insulin resistance [9,10]. Furthermore, it mitigates hepatic steatosis and dyslipidemia through regulation of lipid metabolism [10]. Specifically, adiponectin stimulates glucose uptake by skeletal and cardiac muscle and inhibits glucose production by the liver, consequently decreasing blood glucose levels [7,8]. However, although it is well established that adiponectin dynamically participates in the regulation of peripheral energy metabolism, its impact on nutrient metabolism in astrocytes of the hypothalamus, a central unit for the regulation of energy homeostasis, has not yet been clearly elucidated.
We hypothesized that central adiponectin regulates multiple metabolic processes in hypothalamic astrocytes including glucose uptake, glycolytic activity, fatty acid oxidation and metabolites secretion. To verify this hypothesis, in this study we mainly utilized primary astrocytes extracted from the mouse hypothalamus and determined the active roles of circulating adiponectin on hypothalamic astrocytes coupled to whole body energy homeostasis.
2. Results
2.1. Central Administration of Adiponectin Results in the Activation of Hypothalamic Astrocytes
Based on the evidence that astrocytes respond to metabolic alterations and reactive astrocytes display morphological changes [12], we evaluated the number of astrocytes and their pattern of interaction with blood vessels in the hypothalamus assessed by immunohistochemistry with an antibody against Gfap, a molecular maker for the astrocyte after central administration of adiponectin. Icv administration of recombinant adiponectin into the lateral ventricle of mice resulted in an elevated number of astrocytes in the hypothalamus (Figure 1A,B). We further examined the contact ratio between astrocytes and blood vessels by performing fluorescence immunohistochemistry combined with a visualization of blood vessels by cardiac infusion of lectin to speculate whether adiponectin participates in nutrient shuttling between astrocytes and blood vessels. Notably, icv administration of adiponectin led to an increase in astrocytes interaction with the blood vessel (Figure 1C). In order to further confirm whether adiponectin triggers reactive astrogliosis, we examined the mRNA expression involved in the astrocyte activation. Semi-quantitative RT-PCR results showed an elevation of Gfap and Catenin beta 1(Ctnnb1) transcripts involved in the processes of astrocyte activation (Figure 1D,E), indicating that adiponectin induced reactive astrogliosis.
2.2. Adiponectin Enhances Glucose Uptake in Astrocytes
To validate the purification of primary astrocytes, we tested the enrichment of GFAP protein in cultured primary astrocytes compared to that in primary microglial cells. GFAP protein was predominantly present in primary astrocytes but not in primary microglia. Additionally, the Iba-1 protein was almost absent in primary astrocytes (Figure 2A). Given the well-known effect of adiponectin on phosphorylation of the AMPK protein, an evolutionarily conserved energy sensor and regulator of energy metabolism, we evaluated the induction of AMPK phosphorylation as determined by immunoblot assay to validate the cellular impact of recombinant adiponectin in primary astrocytes. A treatment of adiponectin resulted in a significant increase in AMPK phosphorylation (Figure 2B–D).
As multiple lines of evidence indicate that adiponectin enhances glucose uptake and utilization in metabolically active peripheral organs, such as muscle and adipose tissue [9], we interrogated whether adiponectin altered glucose uptake in astrocytes using mouse hypothalamic primary astrocytes. We first identified that a significant elevation in glucose uptake was observed in adiponectin-treated astrocytes compared to vehicle-treated astrocytes (Figure 2E). In support of this finding, we observed that exogenous treatment of adiponectin led to increased levels of glucose transporter-1 (Glut-1) protein (Figure 2F,G) and mRNA (Figure 2H), consistent with the effects of adiponectin on glucose metabolism in peripheral organs. To further verify the effect of adiponectin on glucose uptake, we quantified the mRNA expression of Glut-1 after silencing the expression of adiponectin receptor 1 (AdipoR1) and adiponectin receptor 2 (AdipoR2). We validated the reduced levels of AdipoR1 and AdipoR2 mRNAs in response to transfection with siRNAs (Figure 2I,J). An increase of Glut1 mRNA expression induced by adiponectin treatment was significantly reversed by AdipoR1 and AdipoR2 siRNAs (Figure 2K). These observations suggest that adiponectin has an active role for glucose uptake in hypothalamic astrocytes.
2.3. Adiponectin Enhances Glycolytic Activities in Astrocytes
We next examined the effect of adiponectin on the glycolytic activities in primary astrocytes. Semi-quantitative RT-PCR results showed that adiponectin treatment elevated the expression of hexokinase1 (Hk1), which catalyzes glucose phosphorylation during glycolysis (Figure 3A). In addition, we further evaluated glycolytic activity utilizing a seahorse XF-24 extracellular flux analyzer. The ECAR in primary astrocytes was significantly elevated by adiponectin treatment (Figure 3B). To verify that enhanced glycolytic activity was triggered by adiponectin, we performed GC-MS to measure the metabolites produced in the glycolytic processes in the hypothalamus of mice injected with adiponectin. Central administration of adiponectin led to an elevation of pyruvate and lactate levels, which correlated with glycolytic activity (Figure 3C,D). Furthermore, icv injection of adiponectin induced increased in levels of fumarate, malate, and citrate generated during the TCA cycle (Figure 3E–G). Notably, elevated glucose levels were observed in the hypothalamus of adiponectin-treated mice (Figure 3H). These data indicated that adiponectin facilitated brain glucose utilization by reinforcing glycolytic activity in astrocytes.
2.4. Adiponectin Promotes Synthesis and Release of Monocarboxylates in Primary Astrocytes
As the production and release of monocarboxylates from astrocytes are coupled to glycolytic processes [4,13], we next interrogated whether adiponectin alters production of monocarboxylates by performing the analysis of mRNA expression in primary astrocytes treated with recombinant adiponectin. We observed that adiponectin treatment led to increased mRNA level of lactate dehydrogenase (Ldh), a catalytic enzyme that reversibly induces conversion of lactate to pyruvate (Figure 4A), and upregulated monocarboxylate transporter-1 (Mct-1) (Figure 4B). In support of these molecular observations, an exogenous treatment of recombinant adiponectin led to an elevation of lactate release in cultured primary astrocytes (Figure 4C). In addition, adiponectin-treated astrocytes showed increased mRNA levels of genes involved in the biosynthesis of ketone bodies including hydroxymethylglutaryl-CoA synthase (Hmgcs) (Figure 4D) and hydroxymethylglutaryl-CoA lyase (Hmgcl) (Figure 4E). In accordance with the patterns of mRNA expression, the medium level of β-hydroxybutyrate was significantly elevated in adiponectin-treated primary astrocytes (Figure 4F). To confirm the increased synthesis and release of ketone bodies, we identified that adiponectin-treated astrocytes showed increased mRNA levels of fatty acid transport protein (FATP), a fatty acid transporter and genes involved in fatty acid oxidation, such as peroxisome proliferator-activated receptor-α (PPAR-α) and carnitine palmitoyltransferase 1-α (CTP1-α) (Figure 4G–I). These findings indicate that adiponectin promotes synthesis and release of monocarboxylates including lactate and β-hydroxybutyrate in the hypothalamic astrocyte through promoting glucose and lipid utilization.
2.5. Central Administration of Adiponectin Leads to an Elevation of Catabolic Processes in the Hypothalamic Astrocytes
To further specifically confirmed the impacts of adiponectin on the metabolic process in hypothalamic astrocyte, we used Ribo-Tag technique with Gfap-Cre;Rpl22HA mice that expressed HA-tagged ribosomal protein Rpl22 in astrocytes. The immunohistochemistry experiment confirmed astrocyte-specific Cre recombination by identifying the immunosignals of HA protein in the Gfap-positive hypothalamic astrocytes (Figure 5A). In addition, we validated the purification of mRNA extracted from the hypothalamic astrocyte by confirming a predominant expression of Gfap mRNA, a molecular maker for the astrocytes and minor expression of Iba-1 mRNA, a molecular marker for microglia and NeuN mRNA, a maker for neuron in purified sample compared with the input control sample (Figure 5B). In consistent with mRNA expression data obtained from mouse total hypothalamus and primary astrocytes, we observed that icv administration of adiponectin effectively elevated mRNA levels of Glut-1 (Figure 5C) and Hk1 (Figure 5D), indicating enhanced glucose utilization. In addition, Ribo-tag results revealed that central administration of adiponectin resulted in an increase of mRNA levels of genes involved in the synthesis of monocarboxylates including Ldh (Figure 5E), Hmgcl (Figure 5F) and Hmgcs (Figure 5G), enzymes for the synthesis of lactate and ketone body as well as Mct-1 gene (Figure 5H). In support of these observations and in vitro findings, we also identified that central administration adiponectin resulted in elevated levels of mRNAs involved in the fatty acid utilization including FATP (Figure 5I), PPAR-α (Figure 5J) and CTP1-α (Figure 5K). From these data, we successfully confirmed that adiponectin triggers enhanced the catabolic process of nutrients such as glucose and fatty acids, and monocarboxylates production in hypothalamic astrocytes utilizing a mouse model that enabled the purification of astrocyte-specific mRNA.
2.6. Adiponectin Rescued 2-DG-Induced Hyperphagia
Central administration of 2-deoxy-D-glucose (2-DG) led to an increase in appetite, suggesting that lower glucose availability drives feeding behavior in association with hypothalamic circuit activity [14]. Thus, we further evaluated the effect of adiponectin on the hyperphagic response induced by 2-DG treatment to identify the physiological relevance of adiponectin-induced alteration in cellular metabolism of hypothalamic astrocytes. In accordance with previous findings, icv administration of 2-DG led to an increase in food intake compared to that in vehicle-treated mice (Figure 6A,B). Increased 2 h and 18 h cumulative food intake induced by 2-DG administration was effectively rescued by adiponectin treatment (Figure 6A,B). These observations suggest that the enhanced catabolic processes of nutrients in hypothalamic astrocytes triggered by adiponectin may be coupled with the homeostatic feeding behavior under the hypoglycemic conditions.
3. Discussion
The current study highlights an active role of adiponectin in the regulation of nutrient availability in hypothalamic astrocytes. In turn, this suggests that the alteration of nutrient availability between the hypothalamic neuron-astrocyte-blood vessel axis controlled by adiponectin might be tightly coupled to the function of the hypothalamic circuit that controls whole-body energy metabolism [4,15].
Consistent with the concretized evidence that adiponectin affects glucose and lipid utilization in peripheral organs, we here verified the active contributions of adiponectin in glucose and lipid metabolism of hypothalamic astrocytes. We identified that adiponectin facilitates the availability of nutrients in the hypothalamus by promoting the utilization of glucose and fatty acids through the multiple in vitro and in vivo strategies. The hypothalamus constitutes the master organ that controls energy homeostasis by mediating afferent signals derived from metabolically active peripheral organs [16]. In particular, adipose tissue dynamically communicates with the hypothalamus through its own chemical messengers termed adipokines [17,18]. Notably, the circulating levels of most adipokines are proportional to adiposity and long-term elevation of adipokines elicits adverse effects, such as inflammation, oxidative stress, and endoplasmic reticulum stress, which might comprise potential pathogenic elements for the development of metabolic disorders [19].
However, the effects of adiponectin on metabolic controls are distinct from those of general adipokines. In particular, it exerts beneficial effects against multiple cellular stresses and the development of metabolic disorders [15]. In accordance with previous studies, which indicate that adiponectin improves inflammatory responses, [20,21], our results validated the anti-inflammatory properties of adiponectin in hypothalamic astrocytes (Supplementary Figure S1). Moreover, as most adipokines participate in the operation of hypothalamic circuit activity, central adiponectin also acts as an appetite regulator by targeting hypothalamic neurons associated with the brain glucose concentration [22]. Together with our data, these observations suggest that adiponectin-controlled glucose metabolism in hypothalamic astrocytes might be linked to the hypothalamic control of energy homeostasis. Consistent with this, a growing body of evidence has suggested that the nutrient availability between hypothalamic astrocytes and neurons determines the operation of the circuit activity triggering homeostatic feeding behavior [6,23]. Furthermore, recent reports have shown that the metabolic shift induced by fasting or high-fat diet treatment results in alteration of hypothalamic metabolites, such as lactate and ketone bodies [24]. In the present study, we also identified elevated synthesis and release of the monocarboxylates such as lactate and ketone body in primary astrocytes in response to adiponectin treatment. Thus, it is reasonable to hypothesize that adiponectin may affect the excitability of hypothalamic neurons by modulating astrocyte-derived substances, such as gliotransmitters and metabolites. Recently, considerable effort has been paid to unmask the direct contributions of hypothalamic glial cells in regulation of the hypothalamic neuronal circuit [4,25]. However, there is still insufficient information regarding the astrocyte-derived tropic factors that give rise to homeostatic behaviors and responses directly coupled to hypothalamic neuronal functions. In the present study, we proposed that the hypothalamic astrocyte responds to fluctuations in circulating adiponectin and presumably participates in operation of the hypothalamic circuit by modulating the nutrient availability linked to various cellular metabolic processes, including nutrient uptake and release between the extracellular environment and hypothalamic neurons. Notably, a recent study showed that adiponectin evokes the excitation of hypothalamic proopiomelanocortin neurons, which promotes satiety signals under low glucose conditions [22]. In this regard, we identified that central administration of adiponectin effectively curbed hyperphagic behavior induced by 2-DG-mediated limited glucose utilization. As neuron-glia metabolic coupling constitutes a critical cellular event to preserve normal brain functions and the availability of oxygen and energy resources is tightly coupled to neuronal excitability and functions [26], the impairment of nutrient shuttling between astrocytes and neurons may serve as a primary pathological event in the development of multiple neurodegenerative diseases. Thus, our findings raised an open question regarding the potential beneficial effects of central adiponectin in the development of metabolic diseases caused by the degeneration of hypothalamic neurons coupled with the impairment of the neuron-glia metabolic interaction in the hypothalamic circuitry. Therefore, further studies are required to clarify whether disruptions of neuronal functions linked to metabolic disorders can be reversed by adiponectin treatment. Additionally, further investigations are warranted to elucidate whether adiponectin-controlled astrocytes control the activity of hypothalamic neurons linked to energy homeostasis via tropic factors or modulating synaptic inputs. Nevertheless, the current findings collectively suggest that central adiponectin may support normal hypothalamic functions by promoting nutrient availability in hypothalamic astrocytes.
4. Materials and Methods
4.1. Animals
Eight-week-old male C57BL/6 mice (Dae Han Bio Link, Seoul, Korea) were housed in a 12-h light-dark cycle at 25 °C and 55 ± 5% humidity. The mice were allowed access to normal diet and tap water ad libitum. All animal care and experimental procedures were performed in accordance with a protocol approved by the Institutional Animal Care and Use Committee (IACUC) at the Incheon National University (permission number: INU-2016-001).
4.2. Cannula Implantation for Intracerebroventricular (Icv) Injection
The mice were anesthetized with an intraperitoneal injection of tribromoethanol (250 mg/kg, Sigma-Aldrich, St. Louis, MO, USA) and placed in a stereotaxic apparatus (Stoelting, Wood Dale, IL, USA). The 2.5-mm cannula (26 gauge) was implanted into the lateral ventricle (X: 1 mm, Y: 0.4 mm to the bregma) and secured to the skull with dental cement. Animals were kept warm until they recovered from the anesthesia and then placed in individual cages. After surgery, a recovery period of seven days was allowed prior to the initiation of experiments.
4.3. Icv Injection of Adiponectin
Mice were matched based on body weight and food intake during the adaptation period and divided into adiponectin and phosphate-buffered saline (PBS)-injected groups. Recombinant globular adiponectin (Lugen Sci, Bucheon, Korea) was dissolved in PBS to a concentration of 1.5 mg/mL. Each solution was freshly prepared on the day of administration and free of any contaminants, such as endotoxin. Mice were administered the first icv injection of adiponectin (3 μg/2 μL) 24 h before sacrifice and hypothalamic tissues were harvested 1 h after the second injection of adiponectin (3 μg/2 μL). For the test of feeding behavior, mice were injected with recombinant globular adiponectin (3 μg/2 μL) 1 h before icv injection of 2-deoxy-D-glucose (2.5 mg/2 μL, Sigma-Aldrich, St. Louis, MO, USA), and their food intake was measured.
4.4. Immunohistochemistry
Mice were anesthetized, their thoracic cavities were opened, and 30 μg of tomato lectin (Vectorlabs, Burlingame, CA, USA) in 100 μL volume was injected directly into the left ventricle of the heart, over a period of approximately 30 s. The heart continued to beat for approximately 1 min following injection. Subsequently, the animals were transcardially perfused with 0.9% saline (wt/vol), followed by fresh fixative of 4% paraformaldehyde in phosphate buffer (PB, 0.1 M, pH 7.4). Brains were collected and post-fixed overnight before coronal sections (50 μm thickness) were taken by vibratome (5100 mz Campden Instruments, Leicestershire, England). After washing in PB several times, the sections were pre-incubated with 0.3% Triton X-100 (Sigma-Aldrich) in PB for 30 min at room temperature (RT) and incubated overnight with rabbit anti-GFAP antibody (1:1000 dilution, ab7260, abcam, Cambridge, UK) or mouse anti-HA antibody (1:1000; MMS-101R, BioLegend, San Diego, CA, USA) at RT. Immunofluorescence was performed with the secondary antibodies (Alexa Fluor 488-labeled anti-mouse antibody, 1: 500; A11001, Invitrogen, Carlsbad, CA, USA or Alexa Fluor 594-labeled anti-rabbit antibody, 1: 500; A21209, Invitrogen, Carlsbad, CA, USA) for 2 h at RT. The sections were then mounted onto glass slides and covered by coverslips with a drop of mounting medium (Dako North America Inc, Carpinteria, CA, USA). The coverslips were sealed with nail polish to prevent desiccation and movement of the samples under the microscope. The images were recorded using fluorescence microscopy (Axioplan2 Imaging, Carl Zeiss Microimaging Inc., Thornwood, NY, USA) and subjected to analyses.
4.5. IHC Image Capture and Analyses
Images were acquired by fluorescence microscopy (Axioplan2 Imaging; Carl Zeiss Microimaging Inc.). For IHC analyses, sections were anatomically matched with the mouse brain using atlas50 (hypothalamic region: between 1.46 and −1.82 mm from bregma). Both sides of the bilateral hypothalamic region were analyzed for two brain sections per mouse. The number of GFAP-positive astrocytes was counted using ImageJ 1.47 v software (National Institutes of Health, Bethesda, MD, USA; http://rsbweb.nih.gov/ij/). Hoechst (Sigma-Aldrich, St. Louis, MO, USA) staining was performed to identify cell nuclei. In sections double-labeled with GFAP antibody and tomato lectin, the number of astrocytes in contact with blood vessels was calculated as a percentage of the GFAP-positive cells in contact with blood vessels per total number of GFAP-positive cells.
4.6. Primary Astrocyte Culture
Following decapitation of five C57BL6 mice (5 days old), the hypothalamic tissues were removed, combined in a sterile dish and triturated in Dulbecco’s modified Eagle medium (DMEM) F-12 containing 1% penicillin-streptomycin. The cell suspension was filtered through a 100-μm sterile cell strainer to remove debris and fibrous layers. The suspension was centrifuged and the pellet was resuspended in DMEM F-12 containing 10% fetal bovine serum (FBS) and 1% penicillin-streptomycin. Cells were grown in this culture medium in 75-cm3 culture flasks at 37 °C and 5% CO2. When cells grew to confluence (about 9 days), the flasks were placed in a 37 °C shaking incubator at 240 rpm for 16 h. The cells were then harvested using 0.05% trypsin-ethylenediamine tetraacetic acid, resuspended in DMEM F-12 containing 10% FBS and 1% penicillin-streptomycin, and centrifuged for 5 min at 1000 rpm. Cells were seeded at a concentration of 5 × 105 cells/mL in culture plates previously treated with poly-L-lysine hydrobromide (50 μg/mL) and grown for 24 h. The medium was changed to DMEM F-12 containing 1% antibiotics without FBS; 24 h later, the same medium plus either 1 µg/mL of recombinant globular adiponectin or vehicle was added. Cells and/or medium were collected 1 or 24 h after treatment. For siRNA transfection, primary astrocytes were seeded (5 × 105 cells/mL) in 6-well culture plates and transfected with siRNAs specific for AdipoR1 (# 72674–1, Bioneer, Daejeon, South Korea) and AdipoR2 (# 68465–1, Bioneer, Daejeon, South Korea) using Lipofectamine 3000 reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s protocols. A scrambled siRNA (Bioneer) was used as a negative control.
4.7. Measurement of Glucose Uptake
Mouse primary astrocytes were seeded at a concentration of 5 × 105 cells/well in 6-well plates. After 24 h treatment of globular adiponectin (1 μg/mL), the cells were processed for a glucose uptake assay following the glucose uptake assay kit instructions (Bio Vision Research Products, Milpitas, CA, USA).
4.8. Measurement of Monocarboxylates
The mouse primary astrocytes were seeded at a concentration of 1 × 105 cells/well in 12-well plates and treated with PBS (vehicle control) or globular adiponectin (1 μg/mL) for 24 h. After treatment, the medium were collected and centrifuged to eliminate remaining cells and debris, and processed to measure the concentration of monocarboxylates. For the lactate release assay, the concentration of lactate in the collected medium was examined by using the lactate assay kit (Biomedical Research Service Center, Buffalo, NY, USA) according to the manufacturer’s instructions. The concentration of β-hydroxybutyrate (ketone body) in the collected medium was measured by using β-hydroxybutyrate colorimetric assay kit (Cayman, 700190, MI, USA) according to the manufacturer’s instructions.
4.9. Extraction and Analysis of Hydrophilic Metabolites in the Hypothalamus
The extraction and analysis of hydrophilic metabolites in the hypothalamus was performed as previously described [27]. Each sample was extracted with 1 mL of methanol:water:chloroform solution (5:2:2, v/v/v) and 0.03 mL of L-2-chlorophenylalanine in distilled water (0.3 mg/mL) as an internal standard (IS). A mixture of approximately 300 mg glass beads (acid-washed, 425–600 μm, G8772, Sigma-Aldrich, St. Louis, MO, USA) was homogenized for 20 s using a bead beater (Mini Beadbeater-96, BioSpec Products, Bartlesville, OK, USA) and sonicated for 10 min. Thereafter, the samples were incubated in a thermomixer (model 5355, Eppendorf AG, Hamburg, Germany) at 1200 rpm for 30 min at 37 °C and centrifuged at 16,000× g at 4 °C for 5 min. The liquid from upper layer (0.8 mL) was transferred into a clean tube and mixed with 0.4 mL distilled water. After centrifugation under the same conditions, 0.9 mL was separated in a new tube and dried using a centrifugal concentrator (VS-802F, Visionbionex, Gyeonggi, Korea) for at least 3 h. The sample was placed in a freeze-dryer (MCFD8512, Ilshin, Gyeonggi-do, Korea) for 16 h to achieve complete concentration. Thereafter, 0.08 mL methoxyamine hydrochloride (20 mg/mL) in pyridine was added for derivatization and incubated at 1200 rpm at 30 °C for 90 min. Next, 0.08 mL N-methyl-N-(trimethylsilyl) trifluoroacetamide was added and allowed to react at 1200 rpm at 37 °C for 30 min. The derivatized hydrophilic metabolites (1 μL) were analyzed using gas chromatography–mass spectrometry (GC–MS). The GC–MS system consisted of an auto-sampler AOC-20i and GCMS-QP2010 Ultra system (both Shimadzu, Kyoto, Japan) equipped with a DB-5 column (30 m × 0.25 mm id, film thickness 1.0 μm, 122–5033, Agilent, Santa Clara, CA, USA). The flow rate of helium as carrier gas was 1.1 mL/min, and split ratio was 1:10. The injector temperature was 280 °C. The column oven program was as follows: 100 °C for 4 min, increased at a rate of 10 °C/min to 320 °C, and then maintained at 320 °C for 11 min. The ion source temperature was 200 °C, and the interface was set at 280 °C. The scanned mass range was 45–600 m/z. Lab solutions GCMS solution software (version 4.11; Shimadzu, Kyoto, Japan) was used to identify the hydrophilic metabolites in the hypothalamus. The results were filtered with their retention times and mass spectra with reference to standard compounds and the in-house library. Quantitative analysis was conducted using the ratio of the analyte peak area to the IS peak area.
4.10. Ribo Tag Analysis
To specifically evaluated mRNA expression from hypothalamic astrocytes, we utilized the Ribo-Tag translational profiling system [28,29]. In order to generate Ribo-tag mice (Gfap-CreERT2: Rpl22HA), Rpl22HA mice (Stock No. 011029, Jackson Laboratory) were crossbred with glial fibrillary acidic protein (Gfap)-CreERT2 mice (Stock No.012849), which specifically expresses Cre recombinase in astrocytes. Since the Gfap-CreERT2 mice expressed Cre recombinase under the control of the tamoxifen inducible GFAP promoter, 8-week-old Gfap-CreERT2: Rpl22HA mice received daily intraperitoneal injections for 5 days of tamoxifen (100 mg/kg,T5648, Sigma-Aldrich, St. Louis, MO, USA) dissolved in corn oil (C8267, Sigma-Aldrich). RNA isolation with the Ribo-Tag system was performed as described by a previous reporters [29,30]. Briefly, the hypothalamus was harvested and homogenized before RNA extraction. RNA was extracted from 10% of the cleared lysate and used as an input control. The remaining lysate was incubated with mouse anti-HA antibody for 4 h at 4 °C followed by the addition of protein G agarose beads (LGP-1018B, Lugen, Gyeonggi-Do, South Korea) and overnight incubation at 4 °C. The beads were washed three times in high-salt solution. The bound ribosomes and RNA were separated from the beads with 30 s of vortexing. Total RNA was extracted using a QIAGEN RNeasy Micro Kit (74034, Qiagen, Hilden, Germany), according to the manufacturer’s instructions and quantified with NanoDrop Lite (Thermo Scientific, Waltham, MA, USA). To evaluate the levels of ribosome-associated mRNA in astrocytes, we synthesized cDNA using a high-capacity cDNA reverse transcription kit (Applied Biosystems, Foster City, CA, USA) and performed quantitative real-time PCR (qRT-PCR).
4.11. Quantitative Real-Time Reverse Transcription-Polymerase Chain Reaction (qRT-PCR)
Total RNA was extracted from the hypothalamus or cultured cells according to the Tri-Reagent protocol, and cDNA was then synthesized from total RNA using a high-capacity cDNA reverse transcription kit. Real-time PCR amplification of the cDNA was detected using the SYBR Green Real-time PCR Master Mix (Toyobo Co., Ltd., Osaka, Japan) in a Bio-Rad CFX 96 Real-Time Detection System (Bio-Rad Laboratories, Hercules, CA, USA). The results were analyzed by the CFX Manager software and normalized to the levels of β-actin and L19, housekeeping genes. The primer sequences used are shown in Table 1. All reactions were performed under the following conditions: initial denaturation at 95 °C for 3 min, followed by 40 cycles of 94 °C for 15 s, 60°C for 20 s, and 72 °C for 40 s.
Table 1.
Target Gene | Direction of Primer | Sequence (5′→3′) |
---|---|---|
Gfap | Forward | TCA ATG ACC GCT TTG CTA GC |
Reverse | ACT CGT GCA GCC TTA CAC AG | |
Iba-1 | Forward | TCT GCC GTC CAA ACT TGA AG |
Reverse | TCT AGG TGG GTC TTG GGA AC | |
NeuN | Forward | ATG GTG CTG AGA TTT ATG GAG G |
Reverse | CGA TGG TGT GAT GGT AAG GAT C | |
Ctnnb1 | Forward | ATC CAA AGA GTA GCT GCA GG |
Reverse | TCA TCC TGG CGA TAT CCA AG | |
Glut-1 | Forward | CTT CAT TGT GGG CAT GTG CTT C |
Reverse | AGG TTC GGC CTT TGG TCT CAG | |
Hk1 | Forward | AGA GGC CTA GAC CAC CTG AAT GTA A |
Reverse | ACT GTT TGG TGC ATG ATT CTG GAG | |
Ldh | Forward | AGC CCT GAC TGC ACC ATC ATC |
Reverse | CGG AAT CGA GCA GAA TCC AGA | |
Mct-1 | Forward | AAT GAT CGC TGG TGG TTG TC |
Reverse | TTG AAA GCA AGC CCA AGA CC | |
Hmgcs | Forward | TTT GAT GCA GCT GTT TGA GG |
Reverse | CCA CCT GTA GGT CTG GCA TT | |
Hmgcl | Forward | CCA GCT TTG TTT CTC CCA AG |
Reverse | TCA GAC ACA GCA CCG AAG AC | |
L19 | Forward | GGT GAC CTG GAT GAG AAG GA |
Reverse | TTC AGC TTG TGG ATG TGC TC | |
FATP | Forward | GCA GCA TTG CCA ACA TGG AC |
Reverse | GTG TCC TCA TTG ACC TTG ACC AGA | |
PPAR-α | Forward | ACG CTC CCG ACC CAT CTT TAG |
Reverse | TCC ATA AAT CGG CAC CAG GAA | |
CPT1- α | Forward | CCA GGC TAC AGT GGG ACA TT |
Reverse | GAA CTT GCC CAT GTC CTT GT | |
AdipoR1 | Forward | TGA CTG GCT GAA AGA CAA CG |
Reverse | TTG GTC TCA GCA TCG TCA AG | |
AdipoR2 | Forward | ATC CCT CAC GAT GTG CTA CC |
Reverse | TAA AAG ATC CCC AGG CAC AG | |
IL-1β | Forward | ATA CTG CCT GCC TGA AGC TCT TGT |
Reverse | AGG GCT GCT TCC AAA CCT TTG AC | |
IL-6 | Forward | TGG TCT TCT GGA GTA CCA TAG C |
Reverse | TCT GAA GGA CTC TGG CTT TGT C | |
β-actin | Forward | GAT CTG GCA CCA CAC CTT CT |
Reverse | GGG GTG TTG AAG GTC TCA AA |
4.12. Immunoblotting
Primary astrocytes were seeded at 5 × 105 cells/well in 6-well plates, allowed to attach overnight, and then incubated in DMEM containing 1 μg/mL adiponectin for 24 h. The cells were washed twice with PBS, followed by scraping and resuspension of the cell pellet in RIPA lysis buffer containing protease inhibitors and centrifugation to remove debris, unbroken cells, and cellular nuclei. Protein content was determined by Bradford’s method using bovine serum albumin as a standard. Samples containing 10 µg of total protein were separated using 12% sodium dodecyl sulfate acrylamide gels. After electrophoresis, proteins were transferred to a nitrocellulose membrane and then blocked with 5% skim milk in TBS (Tris-buffered saline, 0.1% Tween20) buffer for 2 h and incubated in the primary antibodies, including anti-GFAP (1:1000 dilution, Sigma-Aldrich, USA), anti-Iba-1 (1:1000 dilution, Wako, Osaka, Japan), anti-Glut1 (1:500 dilution, Santa Cruz Biotechnology, Dallas, TX, USA), anti-phosphorylated (p)AMPK, anti-total AMPK (1:1000 dilution, Cell Signaling, Danvers, MA, USA), and anti-β-actin (1:10,000 dilution, Sigma-Aldrich, USA).
4.13. Measurement of Extracellular Acidification Rates (ECAR)
ECAR measurements were performed using the XF24 Extracellular Flux analyzer (Seahorse Bioscience, North Billerica, MA, USA). Briefly, primary astrocytes were plated into XF24 (V7) polystyrene cell culture plates (Seahorse Bioscience). Primary astrocytes were seeded at 5 × 104 cells/well in poly-L-lysine hydrobromide-coated XF24 plates. The cells were attached overnight and then incubated with globular adiponectin (1 µg/mL) for 6 h in a humidified 37 °C incubator with 5% CO2. Prior to performing an assay, growth medium in the wells of an XF cell plate was exchanged with the appropriate assay medium to achieve a minimum 1:1000 dilution of growth medium. Subsequently, 560 µL of the assay medium was added to cells for an XF assay. While sensor cartridges were calibrated, cell plates were incubated in a 37 °C/non-CO2 incubator for 60 min prior to the start of an assay. All experiments were performed at 37 °C. Each measurement cycle consisted of a mixing time of 3 min and a data acquisition period of 3 min (12 data points) for the XF24. All compounds were prepared at appropriate concentrations in desired assay medium and adjusted to pH 7.4. For XF24, 80 µL of compound was added to each injection port. In a typical experiment, three baseline measurements were taken prior to the addition of any compound, and three response measurements were taken after the addition of each compound. ECAR were reported as absolute rates mph/min for ECAR.
4.14. Statistical Analysis
Data were analyzed using analysis of variance (ANOVA) followed by Student’s t-test using Prism GraphPad. p value ≤ 0.05 was considered statistically significant. The values are represented as the means ± standard error of the mean (SEM).
Supplementary Materials
The following are available online at https://www.mdpi.com/1422-0067/22/4/1587/s1, Figure S1: Adiponectin leads to decreased mRNA levels of proinflammatory cytokines in primary astrocytes.
Author Contributions
Conceptualization, N.S., D.Y.J., S.Y. and J.G.K.; investigation, N.S., D.Y.J., T.H.T., B.S.P., H.R.Y., Y.J.K., J.K.K., J.T.P. and S.Y.; data curation, B.S.P., J.T.P. and J.-Y.Y.; writing—original draft preparation, N.S., D.Y.J., T.H.T., S.Y. and J.G.K.; writing—review and editing, S.Y. and J.G.K. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by an Incheon National University (Foreign post-doctor program-2016) Research Grant for Thai Hien Tu and supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HI17C1600).
Institutional Review Board Statement
This study was approved by the Institutional Animal Care and Use Committee (IACUC) at the Incheon National University (permission number: INU-2016-001).
Informed Consent Statement
Not applicable.
Data Availability Statement
All data reported in the manuscript and in the Supplementary materials.
Conflicts of Interest
The authors declare no competing financial interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Mergenthaler P., Lindauer U., Dienel G.A., Meisel A. Sugar for the brain: The role of glucose in physiological and pathological brain function. Trends Neurosci. 2013;36:587–597. doi: 10.1016/j.tins.2013.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Attwell D., Laughlin S.B. An energy budget for signaling in the grey matter of the brain. J. Cereb. Blood Flow Metab. 2001;21:1133–1145. doi: 10.1097/00004647-200110000-00001. [DOI] [PubMed] [Google Scholar]
- 3.Goyal M.S., Hawrylycz M., Miller J.A., Snyder A.Z., Raichle M.E. Aerobic glycolysis in the human brain is associated with development and neotenous gene expression. Cell Metab. 2014;19:49–57. doi: 10.1016/j.cmet.2013.11.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Bélanger M., Allaman I., Magistretti P.J. Brain Energy Metabolism: Focus on Astrocyte-Neuron Metabolic Cooperation. Cell Metab. 2011;14:724–738. doi: 10.1016/j.cmet.2011.08.016. [DOI] [PubMed] [Google Scholar]
- 5.Magistretti P.J., Allaman I. A cellular perspective on brain energy metabolism and functional imaging. Neuron. 2015;86:883–901. doi: 10.1016/j.neuron.2015.03.035. [DOI] [PubMed] [Google Scholar]
- 6.Falkowska A., Gutowska I., Goschorska M., Nowacki P., Chlubek D., Baranowska-Bosiacka I. Energy Metabolism of the Brain, Including the Cooperation between Astrocytes and Neurons, Especially in the Context of Glycogen Metabolism. Int. J. Mol. Sci. 2015;16:25959–25981. doi: 10.3390/ijms161125939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Karbowska J., Kochan Z. Role of adiponectin in the regulation of carbohydrate and lipid metabolism. J. Physiol. Pharmacol. 2006;57(Suppl. 6):103–113. [PubMed] [Google Scholar]
- 8.Kadowaki T., Yamauchi T., Kubota N., Hara K., Ueki K., Tobe K. Adiponectin and adiponectin receptors in insulin resistance, diabetes, and the metabolic syndrome. J. Clin. Investig. 2006;116:1784–1792. doi: 10.1172/JCI29126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Berg A.H., Combs T.P., Scherer P.E. ACRP30/adiponectin: An adipokine regulating glucose and lipid metabolism. Trends Endocrinol. Metab. 2002;13:84–89. doi: 10.1016/S1043-2760(01)00524-0. [DOI] [PubMed] [Google Scholar]
- 10.Tao C., Sifuentes A., Holland W.L. Regulation of glucose and lipid homeostasis by adiponectin: Effects on hepatocytes, pancreatic β cells and adipocytes. Best Pract. Res. Clin. Endocrinol. Metab. 2014;28:43–58. doi: 10.1016/j.beem.2013.11.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Qiao L., Kinney B., Yoo H.S., Lee B., Schaack J., Shao J. Adiponectin increases skeletal muscle mitochondrial biogenesis by suppressing mitogen-activated protein kinase phosphatase-1. Diabetes. 2012;61:1463–1470. doi: 10.2337/db11-1475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Kim J.G., Suyama S., Koch M., Jin S., Argente-Arizon P., Argente J., Liu Z.-W., Zimmer M.R., Jeong J.K., Szigeti-Buck K., et al. Leptin signaling in astrocytes regulates hypothalamic neuronal circuits and feeding. Nat. Neurosci. 2014;17:908–910. doi: 10.1038/nn.3725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Rogatzki M.J., Ferguson B.S., Goodwin M.L., Gladden L.B. Lactate is always the end product of glycolysis. Front. Neurosci. 2015;9:22. doi: 10.3389/fnins.2015.00022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Miselis R.R., Epstein A.N. Feeding induced by intracerebroventricular 2-deoxy-d-glucose in the rat. Am. J. Physiol. 1975;229:1438–1447. doi: 10.1152/ajplegacy.1975.229.5.1438. [DOI] [PubMed] [Google Scholar]
- 15.Qi Y., Takahashi N., Hileman S.M., Patel H.R., Berg A.H., Pajvani U.B., Scherer P.E., Ahima R.S. Adiponectin acts in the brain to decrease body weight. Nat. Med. 2004;10:524–529. doi: 10.1038/nm1029. [DOI] [PubMed] [Google Scholar]
- 16.Sainsbury A., Cooney G.J., Herzog H. Hypothalamic regulation of energy homeostasis. Best Pract. Res. Clin. Endocrinol. Metab. 2002;16:623–637. doi: 10.1053/beem.2002.0230. [DOI] [PubMed] [Google Scholar]
- 17.Ahima R.S., Lazar M.A. Adipokines and the peripheral and neural control of energy balance. Mol. Endocrinol. 2008;22:1023–1031. doi: 10.1210/me.2007-0529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ahima R.S., Qi Y., Singhal N.S. Adipokines that link obesity and diabetes to the hypothalamus. Prog. Brain Res. 2006;153:155–174. doi: 10.1016/S0079-6123(06)53009-2. [DOI] [PubMed] [Google Scholar]
- 19.Tu T.H., Nam-Goong I.S., Lee J., Yang S., Kim J.G. Visfatin Triggers Anorexia and Body Weight Loss through Regulating the Inflammatory Response in the Hypothalamic Microglia. Mediat. Inflamm. 2017;2017:1958947. doi: 10.1155/2017/1958947. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lee H., Tu T.H., Park B.S., Yang S., Kim J.G. Adiponectin Reverses the Hypothalamic Microglial Inflammation during Short-Term Exposure to Fat-Rich Diet. Int. J. Mol. Sci. 2019;20:5738. doi: 10.3390/ijms20225738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ouchi N., Walsh K. Adiponectin as an anti-inflammatory factor. Clin. Chim. Acta. 2007;380:24–30. doi: 10.1016/j.cca.2007.01.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Suyama S., Maekawa F., Maejima Y., Kubota N., Kadowaki T., Yada T. Glucose level determines excitatory or inhibitory effects of adiponectin on arcuate POMC neuron activity and feeding. Sci. Rep. 2016;6:1–9. doi: 10.1038/srep30796. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Blouet C., Schwartz G.J. Hypothalamic nutrient sensing in the control of energy homeostasis. Behav. Brain Res. 2010;209:1–12. doi: 10.1016/j.bbr.2009.12.024. [DOI] [PubMed] [Google Scholar]
- 24.Thevenet J., De Marchi U., Domingo J.S., Christinat N., Bultot L., Lefebvre G., Sakamoto K., Descombes P., Masoodi M., Wiederkehr A. Medium-chain fatty acids inhibit mitochondrial metabolism in astrocytes promoting astrocyte-neuron lactate and ketone body shuttle systems. FASEB J. 2016;30:1913–1926. doi: 10.1096/fj.201500182. [DOI] [PubMed] [Google Scholar]
- 25.Gao Y., Layritz C., Legutko B., Eichmann T.O., Laperrousaz E., Moullé V.S., Cruciani-Guglielmacci C., Magnan C., Luquet S., Woods S.C., et al. Disruption of Lipid Uptake in Astroglia Exacerbates Diet-Induced Obesity. Diabetes. 2017;66:2555–2563. doi: 10.2337/db16-1278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Barres B.A. The mystery and magic of glia: A perspective on their roles in health and disease. Neuron. 2008;60:430–440. doi: 10.1016/j.neuron.2008.10.013. [DOI] [PubMed] [Google Scholar]
- 27.Tu T.H., Kim H., Yang S., Kim J.K., Kim J.G. Linoleic acid rescues microglia inflammation triggered by saturated fatty acid. Biochem. Biophys. Res. Commun. 2019;513:201–206. doi: 10.1016/j.bbrc.2019.03.047. [DOI] [PubMed] [Google Scholar]
- 28.Kang S.S., Ebbert M.T.W., Baker K.E., Cook C., Wang X., Sens J.P., Kocher J.-P., Petrucelli L., Fryer J.D. Microglial translational profiling reveals a convergent APOE pathway from aging, amyloid, and tau. J. Exp. Med. 2018;215:2235–2245. doi: 10.1084/jem.20180653. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Sanz E., Yang L., Su T., Morris D.R., McKnight G.S., Amieux P.S. Cell-type-specific isolation of ribosome-associated mRNA from complex tissues. Proc. Natl. Acad. Sci. USA. 2009;106:13939–13944. doi: 10.1073/pnas.0907143106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Jin S., Kim K.K., Park B.S., Kim D.H., Jeong B., Kang D., Lee T.H., Park J.W., Kim J.G., Lee B.J. Function of astrocyte MyD88 in high-fat-diet-induced hypothalamic inflammation. J. Neuroinflamm. 2020;17:195. doi: 10.1186/s12974-020-01846-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data reported in the manuscript and in the Supplementary materials.