Abstract
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The Role of Mediobasal Hypothalamic PACAP in the Control of Body Weight and Metabolism
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Abstract
Body energy homeostasis results from balancing energy intake and energy expenditure. Central nervous system administration of pituitary adenylate cyclase activating polypeptide (PACAP) dramatically alters metabolic function, but the physiologic mechanism of this neuropeptide remains poorly defined. PACAP is expressed in the mediobasal hypothalamus (MBH), a brain area essential for energy balance. Ventromedial hypothalamic nucleus (VMN) neurons contain, by far, the largest and most dense population of PACAP in the medial hypothalamus. This region is involved in coordinating the sympathetic nervous system in response to metabolic cues in order to re-establish energy homeostasis. Additionally, the metabolic cue of leptin signaling in the VMN regulates PACAP expression. We hypothesized that PACAP may play a role in the various effector systems of energy homeostasis, and tested its role by using VMN-directed, but MBH encompassing, adeno-associated virus (AAVCre) injections to ablate Adcyap1 (gene coding for PACAP) in mice (Adcyap1MBHKO mice). Adcyap1MBHKO mice rapidly gained body weight and adiposity, becoming hyperinsulinemic and hyperglycemic. Adcyap1MBHKO mice exhibited decreased oxygen consumption (VO2), without changes in activity. These effects appear to be due at least in part to brown adipose tissue (BAT) dysfunction, and we show that PACAP-expressing cells in the MBH can stimulate BAT thermogenesis. While we observed disruption of glucose clearance during hyperinsulinemic/euglycemic clamp studies in obese Adcyap1MBHKO mice, these parameters were normal prior to the onset of obesity. Thus, MBH PACAP plays important roles in the regulation of metabolic rate and energy balance through multiple effector systems on multiple time scales, which highlight the diverse set of functions for PACAP in overall energy homeostasis.
The health morbidities due to obesity cost approximately $150 billion annually in the United States, underscoring the need to alleviate this burden (1, 2). Treatments that globally activate the sympathetic nervous system increase metabolic rate and promote weight loss, but they also cause dangerous cardiovascular and psychiatric side effects (3-5). Therefore, a better understanding of the specific mechanisms that govern energy balance will lead to safer and more effective weight loss interventions.
The central nervous system (CNS) is uniquely positioned to promote energy balance in the context of a range of experiential and environmental signals sensed by the brain (eg, famine, illness, injury) (6, 7). The brain uses a collection of neurotransmitters, many of them in the form of neuropeptides, that provide important roles in sustaining lasting effects on synaptic function. One such neuropeptide is pituitary adenylate cyclase activating polypeptide (PACAP) (8). PACAP (encoded by gene Adcyap1) through direct action on its receptor, PACAP Receptor 1 (PAC1R) (9), increases sympathetic activity at peripheral targets (9-11), stimulating glucose production (12) and energy expenditure in mice (8, 13, 14). While pharmacological administration of PACAP provides these positive metabolic responses that would predict an important role in improved energy balance, knockouts of either PACAP or PAC1R are not obese, but have significant issues in surviving postnatal weaning (15, 16). These reports have suggested a multifaceted role for PACAP across development.
PACAP is expressed in the periphery and CNS, but the distinct role of tissue-specific PACAP remains undefined. The mediobasal hypothalamus (MBH) contains a pronounced collection of PACAP-containing cells in the ventromedial hypothalamic nucleus (VMN), a nucleus that plays crucial roles in modulating sympathetic nervous system activation to regulate blood glucose, thermogenesis, energy expenditure, and food intake. VMN neurons stimulate these responses through the release of neurotransmitters at a downstream neural site (17, 18). Introducing light chain tetanus toxin, in order to prevent vesicular communication, into VMN steroidogenic factor 1 (SF1) cells, but not Cholecystokinin Receptor B (CCKBR)-containing cells, results in obesity and reduced oxygen consumption (19). This indicates that communication by specific VMN cells that do not contain CCKBR is necessary for energy balance (19). Leptin and fasting both modulate Adcyap1 expression in the VMN, but not elsewhere in the CNS (8). Furthermore, leptin action in VMN cells is essential for energy balance via the facilitation of energy expenditure (20). Taken together, these data implicate that both the VMN and the neuropeptide PACAP are important in the regulation of energy balance. However, the specific functions for PACAP within the VMN in the regulation of metabolic parameters remain unclear.
In these studies, we tested the necessity for MBH PACAP in normal energy balance and glycemic control, the two main functions by which PACAP is proposed to influence metabolism in this region. We used VMN-directed, but MBH encompassing, adeno-associated virus (AAVCre) injections to ablate Adcyap1 (gene coding for PACAP) in Adycap1flox mice (Adcyap1MBHKO mice). Adcyap1MBHKO mice rapidly gained body weight and adiposity on a standard chow, and they became hyperinsulinemic and hyperglycemic. Adcyap1MBHKO mice exhibited decreased oxygen consumption (VO2), carbon dioxide production (VCO2), and respiratory exchange ratio, without changes in activity, resulting in severe obesity. Unexpectedly, these mice also showed increased brown adipose tissue (BAT) weight and upregulated markers of fat oxidation. While we observed slightly increased feeding and disruption of glucose clearance during hyperinsulinemic/euglycemic clamp studies in obese Adcyap1MBHKO mice, these parameters were normal prior to the onset of obesity. Thus, feeding only played a modest role in sustaining obesity. Our studies showed that MBH PACAP plays important roles in the regulation of metabolic rate and energy balance through multiple effector pathways on multiple time scales, but it is not required for direct modulation of food intake or glucose homeostasis.
Materials and Methods
Animals
The procedures included in this manuscript were approved by the Committee on the Use and Care of Animals at the University of Michigan (Ann Arbor, MI), Beth Israel Deaconess Medical Center (Boston, MA), and Indiana University (Indianapolis, IN). All mice were provided with standard chow and water ad libitum, unless noted otherwise, and kept in a temperature-controlled (22 °C) room on a 12-hour light-dark cycle. Adcyap1flox mice were generated by R.A.R. and B.B. (21). The 2 loxP sites flank the second exon of the Adcyap gene. When recombined, this creates a frameshift mutation and results in a truncated, nonfunctional PACAP protein (21). All experiments were carried out using approximately equal numbers of male and female mice. Experimental design and animals used are outlined in Supplemental Figure 1 (22). Mice were single-housed for BAT temperature recording. Mice were group housed prior to stereotaxic surgery in all cohorts, but single-housed postoperatively in cohorts 1 and 2 for food intake studies. Exactly 8 green fluorescent protein (GFP) and 11 Cre recombinase (Cre) were used in cohorts 1 (male) and 2 (female). In cohort 3, 5 GFP and 7 Cre male mice were used. In cohort 4, 5 GFP (3 male, 2 female) and 7 Cre (4 male, 3 female) were used. Unless stated, male and female mice were included for the analysis. Investigators were blinded to the treatment for all studies. All mice were genotyped via polymerase chain reaction (PCR) across the genomic region of interest prior to study (21) and only mice homozygote for Adcyap1flox or Adcyap1cre were included in the study. All mice were bred via in-house colonies.
Phenotypic Studies
Body weight and food intake were monitored weekly in all mice after surgery. Body weight and food were weighed weekly on an Ohaus NV511 precision balance (Parsippany, NJ). Mice were single-housed after surgery for food intake measurement, but mice were group housed for studies that only included either glucose clamps or indirect calorimetry. Glycemic measures (including intraperitoneal [IP] glucose tolerance test [GTT]; 2 g/kg body weight) and insulin tolerance test (0.6 Unit/kg body weight, Humulin (Eli Lilly), IP) were performed in 12- to 18-week-old animals. Blood glucose was measured with a One Touch Ultra 2 glucometer (Johnson and Johnson) by tail vein draw. For all glycemic measures, mice were fasted for 4 to 6 hours prior to testing. Body fat and lean mass were analyzed in a cohort of mice using Minispec LF9011 (Bruker Optics, Billerica, MA). Body composition data was collected with assistance from Indiana University School of Medicine Mouse Metabolic Phenotyping Center. TSE Phenomaster cages were used for indirect calorimetry measurement, with assistance from the Indiana University School of Medicine Mouse Metabolic Phenotyping Center. Indirect calorimetry data was used to calculate fat oxidation and glucose oxidation via the Weir equation (23). Data were analyzed by taking into account whole-body mass and lean mass separately. Glucagon, insulin, and leptin were all assayed in plasma by commercial enzyme-linked immunosorbent assays (Glucagon: Mercodia, Uppsala, Sweden, RRID: AB_2783839 (24); Leptin: Crystal Chem, Elk Grove, IL, RRID: AB_2722664 (25); Insulin: Crystal Chem, Elk Grove, IL; RRID: AB_2783626 (26)). Corticosterone was measured with radioimmunoassay (MP Biomedicals, Santa Ana, California, RRID: AB_2801269 (27)) with assistance from the Chemistry Core supported by the Michigan Diabetes Research Center (University of Michigan).
Reagents
All AAVs used include titer from stock. AAV-Cre-GFP (1.1 × 1013 genome copies [GC]/mL), from Addgene plasmid 68544, was generated in at the University of Michigan Viral Vector Core with the support of the Molecular Genetics Core of the Michigan Diabetes Research Center (University of Michigan, Ann Arbor, Michigan, USA) or directly acquired from Addgene (2.7 × 1013 GC/mL) (105540). AAV-GFP (5.4 × 1012 GC/mL) was acquired from the University of North Carolina Vector Core (6765) or Addgene (3.4 × 1013 GC/mL) (105539). It is important to note that the 2 AAV-Cre used have different promoters. Addgene 68544 has a cytomegalovirus (CMV), whereas 105540 has a hSyn promoter. All of these AAVs were serotype 9.
Hyperinsulinemic-Euglycemic Clamp
In both cohorts, only male mice were used for hyperinsulinemic-euglycemic clamps. In the first cohort, mice were catheterized (arterial and venous) at 11 weeks poststereotaxic injection, while mice were catheterized 3 weeks postinjection in the second cohort. Mice were allowed to recover from surgery and only went through the clamping procedure if the animals had no sign of being sick or ill. After a 5-hour fast, conscious, unstressed, catheterized mice were infused with 10 mU/kg/min insulin, and glucose was clamped at ~150 mg/dL for 120 minutes. After clamp, mice were administered (venous catheter) with [14C]-labeled 2-deoxy-D-glucose. Organs were collected for radioactivity measurements as a marker for glucose uptake, as previously described (28).
Brown Adipose Tissue Temperature
Temperature probes were surgically implanted directly above the interscapular BAT (as previously described (29)) in PACAP-2a-cre mice (as previously described (30)) that received AAV-DIO-hM3dq into the VMN at the Beth Israel Deaconness Medical Center. Animals were allowed 1 week of recovery and acclimation was performed with saline injection for 5 consecutive days. Data were collected using a handheld reader system (DAS-7006/7r; Bio Medic Data System) at the time points indicated.
Stereotaxic Injections of Viral Constructs
Animals 8- to 14-weeks of age were anesthetized with 1.5% to 2% isoflurane, in preparation for craniotomy. In cohort 3, 15- to 18-week-old mice were used because it was a short-term study compared with cohorts 1 and 2. After exposing the skull, bregma and lambda were leveled, a hole was drilled, and the contents of a pulled pipette at the coordinates of our target for ~25 nL/min were released. For the VMN-directed injections, 100 nL of virus was injected at anteroposterior (AP) −1.05 and −1.15, mediolateral (ML) ± 0.3, dorsoventral (DV) −5.55. Four total injections (2 on each side within the same drilled hole for a total of 200 nL per side) were administered per animal, in order to spread the virus throughout the full extent of the VMN and get almost complete knockdown throughout the nucleus. We allowed at least 5 minutes for the virus to diffuse into the brain and the pipette was raised slowly out of the hole in the skull. The hole in the skull was filled with bone wax, and the skin was closed with surgical sutures (Henry Schein). Analgesics (Carprofen, 5 mg/kg) were administered prophylactically to all mice to prevent postsurgical pain. The animals were allowed 4 weeks to recover from surgery before any experimental manipulation. For food intake studies, the animals were individually housed after surgery in order to collect food intake data. Otherwise, animals continued to be housed with littermates. GFP fluorescent reporters in all studies were used to confirm proper targeting of the brain region. If bilateral fluorescence was not observed within the dorsomedial VMN, these cases were omitted from analyses.
Perfusion and Immunohistochemistry
Brains were collected and processed as previously described (28, 31). Mice were anesthetized with isoflurane prior to transcardial perfusion with phosphate buffered saline (PBS) followed by 10% neutral buffered formalin (NBF) (Sigma Aldrich). Brains were removed and placed into 10% NBF overnight, followed by 30% sucrose for at least 36 hours. Brains were cut into 30-µm sections on a freezing microtome in 4 series and stored in antifreeze solution (25% ethylene glycol, 25% glycerol). Sections were washed with PBS and then treated sequentially with 1% hydrogen peroxide/ 0.5% sodium hydroxide, 0.3% glycine, and 0.03% sodium dodecyl sulfate. Pretreatment was followed by an hour in blocking solution (PBS containing 0.1% Triton, 3% normal donkey serum), followed by overnight incubation in blocking solution containing either chicken anti-GFP (GFP-1020, RRID:AB_1000240 (32), Aves, 1:1000), rabbit anti-NeuN (ABN78, RRID:AB_10807945 (33), Millipore, 1:500), or rat anti-mCherry (Life Technologies M11217, RRID:AB_2307319, 1:1000 (34)). The next day, the sections were incubated with fluorescent secondary antibodies (Molecular Probes, 1:200). The sections were mounted onto slides coverslipped with Fluoromount-G containing DAPI (Southern Biotech).
In Situ Hybridization
In situ hybridization for Adcyap1 was performed in perfused brain tissue, using DEPC-treated PBS and 30% sucrose solution. Once the brains sunk in the 30% sucrose solution at 4 °C, brains were sectioned on a freezing stage microtome at 30 µm increments. Series of brain sections were mounted onto SuperFrost plus slides (Fisher Scientific) then stored in a slide box at −20 °C. Slides were fixed in 10% NBF (Sigma Aldrich) for 20 minutes and subsequently dehydrated in increasing concentrations of ethanol, cleared in xylenes, rehydrated in decreasing concentrations of ethanol, and finally placed in prewarmed sodium citrate buffer (pH 6.0). The slides were then microwaved for 10 minutes followed by dehydration in increasing concentration of ethanol. The slides were allowed to air-dry for at least 1 hour. The Adcyap1 cDNA (template) was produced from mouse hypothalamic RNA. The following primers were used to amplify a 509 base pair sequence in the encoding region of the Adcyap1 gene with polymerase promoters: F (T3) 5′-(CAG AGA TGC AAT TAA CCC TCA CTA AAG GGA GA) ACC ATG TGT AGC GGA GCA AG-3′; R (T7) 5′-(CCA AGC CCT CTA ATA CGA CTC ACT ATA GGG AGA) CGG CGT CCT TTG TTT TTA ACC-3′. Primers were acquired from Integrated DNA Technologies (IDT; Iowa). The Adcyap1 riboprobe was generated by in vitro transcription using 35S-UTP as the radioisotope. Labeled riboprobe was diluted in hybridization solution and brain sections were hybridized overnight at 58 °C. The following day, sections were incubated in 0.002% RNAse A followed by stringency washes. Sections were dehydrated in increasing concentrations of ethanol, air-dried, and placed in x-ray film cassettes with BMR-2 film (Kodak, Rochester, NY, USA) for 2 days.
Quantitative Real-Time PCR
RNA was extracted from BAT using RNeasy Lipid Tissue Mini kit (Qiagen). The cDNA was synthesized by reverse transcription from mRNA using the iScript cDNA Synthesis Kit (Bio-Rad). Gene expression was performed by quantitative real-time RT-PCR using Taqman gene expression assays using StepOnePlus detection system (Applied Biosystems) with a standard protocol. Relative abundance for each transcript was calculated by a standard curve of cycle thresholds and normalized to RL32.
Cell Counts
Images from 30-µm thick sections containing Cy3 tagged NeuN were collected in the mediobasal hypothalamus using a Keyence BZ-X810 microscope with a 20× objective. The VMN was identified by overlaying the corresponding bregma level from an anatomical reference atlas (Allen Mouse Brain Atlas) on microscope images in ImageJ. Two regions of interest (ROI) encompassing the whole VMN were drawn bilaterally for each microscope image and the ROI areas (pixel/inch2) were measured. Image thresholding (Otsu Method) followed by watershed segmentation was performed to determine the number of NeuN-positive cells within each ROI. Data were reported as NeuN-positive cells by ROI area to correct for bregma level differences in ROI size. Both right and left sides of the VMN were averaged for a final value.
Statistics
Our sample sizes are similar to previously published studies using similar approaches (28, 35-38). Time-course blood glucose, body weight, and food intake data were analyzed by 2-way repeated-measures ANOVA with Fisher’s least significant difference post hoc test. Data in Figs. 1, ,2B,2B, ,2F,2F, 3A-3C, ,4G,4G, ,4H,4H, 5E-5I, 6A-6C, and 6H-6L were analyzed by the Student t test. Data in Figs. 2A, 2C-2D, ,2E,2E, ,2G,2G, ,2H,2H, 3D-3S, 4A-4F, 5A-5D, and 6D-6G were analyzed by 2-way ANOVA. No data were removed unless the injection missed the VMN or the animal was sick or injured at the time of the experiment (loss of > 10% body weight). Significance was set at P ≤ 0.05. All data were analyzed using Prism (GraphPad, La Jolla, California).
Results
VMN Adcyap1 Cells Can Elevate Brown Adipose Tissue Temperature
Previous studies have linked VMN PACAP neurons with circulating glucose and insulin regulation (39), but none have investigated a direct role of VMN PACAP neurons in the regulation of energy expenditure. Due to the wide amount of data available that link the VMN with BAT function (40-43), we investigated whether VMN Adcyap1 cells contributed to this function. We administered AAVDIO-hM3dq into the VMN of Adcyap1-cre knockin mice and monitored brown fat temperature with probes implanted directly above the interscapular BAT. After clozapine-n-oxide (CNO) administration, BAT temperature rapidly increased 1 to 2 °C throughout a 4-hour trial, which did not happen when mice were treated with saline (F[2,8] = 8.818; P = 0.0015) (Fig. 1A, ,1B).1B). These data support the hypothesis that VMN PACAP cells can influence whole-body energy expenditure through BAT thermogenesis and directed our investigation to further discern the role of PACAP in this region to influence various modalities of energy balance.
AAVCre Injection Ablates VMN Adcyap1 Expression
We tested the hypothesis that Adcyap1 in the VMN directly regulates energy expenditure and glucose metabolism by ablating Adcyap1 expression in the VMN. We conditionally ablated Adcyap1 in the VMN via microinjection of AAVCre into the VMN of 8- to 14-week-old Adcyap1flox mice (21). By using this approach, we avoided the drawback of potentially eliminating PACAP outside of the brain using transgenic Cre mouse models (such as SF1CRE) that also target cells in peripheral tissues. The peptide PACAP is expressed throughout the periphery and the SF1cre mouse model would induce Cre activity within some peripheral tissues (44).
Indeed, Adcyap1 mRNA was present within areas known to contain the neuropeptide (eg, cortex, preoptic area, medial amygdala, ventral premammillary nucleus) but was almost completely ablated from the dorsomedial VMN of all AAVCre-injected mice (Fig. 2A-2C). In support of this qualitative evidence, we also quantified expression level from the films to confirm reduction in Adcyap1 in the VMN (t[36] = 13.26; P < 0.0001) following injection of AAVCre, but not within nearby areas such as the medial amygdala, ventral premammillary nucleus, and preoptic area (Fig. 2A-2C). AAVCre injection contained a GFP tag, in order to observe the spread of the virus. All included cases contained bilateral GFP expression throughout the VMN. Injection was not completely confined in the VMN and did spread to some degree into nearby areas in order to induce desired near-complete ablation of Adcyap1 mRNA in the VMN. Of note, GFP cells were observed in the posterior hypothalamus, arcuate nucleus, anterior hypothalamus, suprachiasmatic nucleus, and dorsomedial hypothalamus, depending on the injection site (Supplemental Fig. 1) (22). Importantly, we did not observe PACAP mRNA expression above background in any of these regions, although it is known that small populations of PACAP-expressing cells are found in much of the hypothalamus across development (45, 46). Furthermore, unlike our VMN-directed ablations, none of the other regions had the same localization of viral spread, which we use as indirect readout of PACAP-ablation across multiple mice. Therefore, while PACAP may have been ablated from these nearby regions if expressed there, it is unlikely that the loss of function we see across our metabolic tests in adult mice can be attributed to the regions other than the VMN. While AAVs have been used for many years without cytotoxic consequences, we wanted to ensure that we did not lesion the hypothalamus with our injections. DAPI-labeled nuclei were observed in a similar distribution in all groups (data not shown). To quantify this expression, we used NeuN as a biomarker for neurons. In the VMN, there was no difference in the density of cells in the VMN (Fig. 2D-2F). Therefore, AAVCre sufficiently ablated PACAP from the VMN without lesioning the nucleus.
Loss of Adycap1 in MBH Induces Obesity in Both Male and Female Mice
Experiments were designed to assess the function for MBH PACAP in metabolic function (see experimental design in Supplemental Fig. 1) (22). Adcyap1MBHKO mice were noticeably larger than littermate/cagemate controls beginning at 8 weeks postinjection. As such, body weight was closely monitored in these mice for the duration and in subsequent cohorts of mice. Body weight steadily increased to almost 40% more than control mice 8 weeks after surgery. This increase in body weight was observed in both male and in female mice (Fig. 3A, Supplemental Fig. 3A (22)) (F[2,17] = 10.2; P < 0.0001) (F[2,17] = 14.59; P < 0.0001) with only a delayed and modest increase in food intake (Fig. 3B, Supplemental Fig. 3B (22)) (F[2,17] = 0.5095; P = 0.0367) (F[2,17] = 0.3172; P = 0.1513). Because there was a mild increase in food intake starting at week 7, we measured the food intake in mice following a 24-hour fast at 10 weeks postinjection. However, fasting/re-feeding food intake responses were normal in these mice, indicating that feeding responses were only modestly affected after the onset of obesity (Fig. 3C, Supplemental Fig. 3C) (22). Since effects were similar across sexes, data was combined for subsequent analyses of indirect calorimetry and glycemic regulation.
Adcyap1 MBH KO Mice Display Dysfunctions in Energy Expenditure
In order to perform indirect calorimetry measurements, we included a separate cohort of mice that were exposed to the metabolic chambers early into the process of the mice becoming obese (4 weeks postinjection). These mice did exhibit increased fat mass (t[11] = 4.474; P = 0.0008), but lean mass was not different compared with controls. (Figs. 4A, ,4B).4B). Oxygen consumption, VO2 (F[2,10] = 25.94; P = 0.0301), and carbon dioxide production, VCO2 (F[2,10] = 27.07; P = 0.0185), were both reduced when normalized with lean mass (Figs. 4E, ,4F,4F, ,4G,4G, ,4H).4H). Respiratory exchange ratio was also reduced (F[2,10] = 26.99; P = 0.0076) during the dark cycle (Fig. 4M, ,4N)4N) in Adcyap1MBHKO mice. Finally, fat oxidation was elevated (F[2,10] = 4.979; P = 0.0051) and glucose oxidation reduced (F[2,10] = 5.06; P = 0.0029) during the dark cycle (Fig. 3P-3S) in Adcyap1MBHKO mice. Certainly, Adcyap1MBHKO mice exhibit dysfunctions in underlying metabolic activity, consistent with reduced energy expenditure. Therefore, the marked increases in body weight in the Adcyap1MBHKO mice were due to the metabolic dysfunctions in energy expenditure, and the delayed increase in food intake is likely secondary to changes in energy utilization.
Obese Adcyap1MBHKO Mice Have Increased Interscapular BAT Weight and Markers for Lipid Oxidation
Upon sacrificing the mice after indirect calorimetry experiments (5 weeks postinjection), we noticed that the Adcyap1MBHKO mice had considerably more interscapular brown adipose tissue (iBAT) than the controls (Fig. 4C). Indeed, iBAT weights were more than 4 times larger than controls. We next measured expression of targets in BAT tissue associated with thermogenesis and lipid oxidation (Supplemental Fig. 4A-E) (22). Indeed, mitochondrial uncoupling protein 2 (UCP2) (t[12] = 2.319; P = 0.0267), iodothyronine deiodinase 2 (DIO2) (t[12] = 2.157; P = 0.0315), and peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1a) (t[12] = 2.832; P = 0.011) were all increased in the knockouts relative to the controls. However, we did not observe any differences in mitochondrial uncoupling protein 1 (UCP1) and PR domain containing 16 (PRDM16). These data, taken together with the indirect calorimetry, indicate that these obese mice are metabolically inflexible and utilize lipids rather than carbohydrates for energy, which may further contribute to their obese phenotype.
Obese Adcyap1MBHKO Mice Are Hyperglycemic and Hyperinsulinemic, yet Remain Insulin Tolerant
In addition to influencing energy expenditure, PACAP plays a critical role in energy mobilization and glucose clearance into peripheral tissues. Thus, we tested whether loss of PACAP in the MBH leads to hyperglycemia and decreased glucose tolerance. In support of this hypothesis, we observed that Adcyap1MBHKO mice had higher fed and fasted (24 hours) blood glucose levels compared with the controls (F[1,38] = 20.16; P < 0.0001) (Fig. 5A). In addition to hyperglycemia, Adcyap1MBHKO mice were hyperinsulinemic (F[1,75] = 16.49; P = 0.0001), but neither hyperglucagonemic nor hypercortisolemic at either fasting or fed states (Fig. 5B, ,5D).5D). The Adcyap1MBHKO mice also had impaired glucose tolerance (F[1,39] = 6.504; P = 0.0148) (Fig. 5E). Despite increased body weight and adiposity in addition to impaired glucose tolerance, Adcyap1MBHKO mice were not insulin resistant (Fig. 5F). Adcyap1MBHKO mice had a comparable decrease in blood glucose levels as controls in response to exogenous insulin administration (0.6 Units/kg; Fig. 5F). Glucagon and corticosterone levels 30 minutes post–insulin injection were not different between the groups (Fig. 5G, ,5H).5H). Therefore, loss of PACAP in the MBH resulted in glucose intolerance, despite having normal insulin tolerance and counterregulatory responses.
Obese Adcyap1MBHKO Mice Have Impaired Glucose Clearance
In order to evaluate glucose clearance independent from changes in circulating insulin and glucose, we evaluated glucoregulation in Adcyap1MBHKO in a hyperinsulinemic/euglycemic condition. Blood glucose (12 weeks postinjection) was clamped at 150 mg/dL (Fig. 6A). Considerably less glucose was infused in order to sustain equivalent circulating glucose levels in Adcyap1MBHKO compared with control mice (F[1,16] = 24.28; P = 0.0002) (Fig. 6B). Indeed, hepatic glucose production (F[1,32] = 6.28; P = 0.0175) and insulin clearance (t[16] = 5.845; P < 0.0001) were also lower following the clamp, potentially contributing to the hyperglycemia in Adcyap1MBHKO mice (Fig. 6C, ,6D).6D). At the end of the clamp, [14C]-deoxy-D-glucose was infused and organs collected. Measured radioactivity was lower in the gastrocnemius muscle (t[16] = 2.722; P = 0.0075), heart (t[16] = 3.872; P = 0.0007), BAT (t[16] = 6.182; P < 0.0001), subcutaneous fat (t[15] = 3.913; P = 0.0007), but not visceral fat of Adcyap1MBHKO mice (Fig. 6E-6I). Overall, these data suggest that, in addition to the control of adiposity and energy expenditure, loss of MBH PACAP results in hyperglycemia and diminished glucose clearance consistent with aberrant glucose specific regulation in the obese state.
Adcyap1MBHKO Mice Do Not Have Impaired Glucose Clearance 4 Weeks After Injection
At 12 weeks after injection, Adcyap1MBHKO mice are obese and thereby difficult to distinguish between the direct function of MBH PACAP and those secondary to the doubling of adipose mass. Therefore, we clamped mice at 4 weeks after injection before the onset of obesity, using a similar experimental design. At the time of hyperinsulinemic/euglycemic clamp, body weight, fat mass, and lean mass were not different in Adcyap1MBHKO mice compared with controls (Figs. 7A-7C). Glucose clearance and hepatic glucose production were comparable in Adcyap1MBHKO mice and controls (Figs. 7E-7L). These data indicate that 3 weeks postinjection and before changes in body weight and adiposity, Adcyap1MBHKO have normal glucose homeostasis. Together, these data indicate a nuanced role for PACAP in a metabolically stressed system.
Discussion
Body energy homeostasis results from balancing energy intake and energy expenditure. In these studies, we investigated the role of MBH PACAP in regulating energy homeostasis. MBH neurons control metabolic function via the sympathetic nervous system according to metabolic cues such as fasting, and the neuropeptide PACAP is expressed within this area and known to play an important role in metabolic control. We tested a role for MBH PACAP in multiple modalities of energy balance by using VMN-directed AAVCre injections to ablate Adcyap1. Our data demonstrate that MBH PACAP is a necessary modulator of energy balance, and mice lacking PACAP expression in the MBH show severe obesity. It is important to note that obesity in Adcyap1MBHKO was observed on a normal chow diet. Few studies have revealed this degree of obesity (over 50% increase in body weight and adipose mass) without an increase in food intake or accompanied by high-fat diet. This is the first study to demonstrate a distinct function for PACAP in VMH and surrounding MBH cells, which helps to clarify the overall metabolic function of both this hypothalamic region and PACAP. While the MBH and PACAP are each involved in glycemic control, our findings indicate that these functions are mediated by non-PACAP–initiated signaling in VMN cells and PACAP-initiated signaling originating from likely non-VMN cells.
It is important to point out that neither the PACAP-KO and PAC1R-KO have been found to have this obesity phenotype (45, 47-49), though both were originally generated to pursue this expected outcome. This may be because PACAP plays important but distinct role in the periphery and the CNS that may compensate metabolically. For instance, PACAP is necessary for both proper development and critical physiologic functions (45, 50, 51), separate from energy balance, which makes it difficult to define the function for this peptide using traditional knockout approaches. In fact, 50% to 70% of total knockouts of either the peptide or receptor do not survive postnatal weaning (15, 16). Alternatively, there may be a separate function for PACAP in other parts of the brain or periphery that may counteract with these effects via MBH cells. Peripheral PACAP and central PACAP may play separate roles in overall metabolic function that may be able to compensate for an effect observed with pharmacologic administration, but not the knockouts. There is precedent for this type of effect in metabolic function, as seen in the neural POMC-KO that has a larger effect on obesity than the global KO, rising from the hypothalamic-pituitary-adrenal axis dysfunction (52).
While the roles of PACAP administration, blockade, and knockout models in the control of energy balance have been well established (51, 53, 54), little is known about the role of this peptide in individual sets of cells within either the brain or the periphery. A recent study showed that PACAP controls reproductive function via cells in the ventral premammillary nucleus (21) by using ventral premammillary nucleus–specific PACAP knockdown. In addition to reproductive function, PACAP-containing preoptic area neurons maintain thermoregulation (55) and neurons in the paraventricular nucleus of the hypothalamus can promote food intake (30). Both of these discoveries utilized remote activation of the respective populations using DREADD hM3dq rather than manipulating PACAP directly. Since the Adcyap1MBHKO mice did not exhibit deficits in fasting/re-feeding food intake (Fig. 3), these may be site-specific or cell-specific functions of PACAP-expressing neurons. Thus, other PACAP-containing cells likely generate separate functions involved in whole-body energy metabolism, and there may be multiple PACAP-expressing neuronal subpopulations involved in separate functions organized within the VMN. But collectively, these results suggest that the overall function of PACAP in the VMN is to appropriately respond to metabolic stressors to flexibly manage energy stores, and does so through different circuits, on different time scales, and using multiple energy balance related effectors.
Our results support the hypothesis that MBH PACAP is required to maintain proper energy balance. In particular, rises in VO2 and VCO2 in the first 4 hours of the dark cycle are absent in the Adcyap1MBHKO mice, consistent with a defect in diet-induced thermogenesis (56). Energy expenditure, in the mouse, is primarily driven by BAT and BAT thermogenesis is highly regulated by the CNS, the main source of thermoregulation in the body. Several studies have identified novel neuronal circuits that control brown adipocyte thermogenesis in rodents (57-59). BAT thermogenesis has also been shown to have many positive metabolic effects, such as increased glucose and lipid uptake and decrease in body weight (60). In addition, Adcyap1MBHKO mice displayed markedly flat levels of fat oxidation and glucose oxidation shortly after lights off, particularly early in obesity (Fig. 4). This pattern of increased fat oxidation and minimal shift toward glucose oxidation is consistent with metabolic inflexibility, a key effector for obesity (61-63). Importantly, these findings were supported by both the increased markers of fat oxidation in the BAT (Supplemental Fig. 4) (22) and reduced glucose uptake in the glucose clamps (Fig. 6). However, all of these effects were observed when knockout mice had more adipose tissue than the controls. Therefore, it makes it difficult to distinguish the cause of obesity from the effect of obesity. These mechanisms need to be further investigated at different timepoints, and perhaps with more circumscribed subpopulations, to decipher the potential function for PACAP in the MBH in diet-induced thermogenesis and metabolic flexibility.
Nonobese Adcyap1MBHKO mice displayed normal glucose, insulin, and glucose clearance but obese Adcyap1MBHKO mice exhibited dramatic hyperinsulinemia, hyperglycemia, and suppressed glucose clearance (Figs. 5 and and6).6). These results do not support a direct role for MBH PACAP in glucose homeostasis and may instead play a permissive role in the onset of hyperglycemia associated with obesity. However, it is interesting that insulin sensitivity was not diminished in obese Adcyap1MBHKO mice despite hyperinsulinemia and hyperglycemia, which may facilitate dysfunctional glucose uptake and suppress glucose production. There may be something unique to a chronic loss of this peptide that leads to suppressed glucose clearance, while the individual remains insulin tolerant. Distinctions within these obese models may provide explanation for the separate clinical presentation of obesity and diabetes and may shed light on therapeutics that may be effective at restoring energy balance and glucose homeostasis due to separate underlying dysfunctions. Nevertheless, dysfunctions in glucose homeostasis merely describe distinctions in this particular obese model and do not reveal direct effects by MBH PACAP. However, this unique collection of effects on glucose uptake and insulin tolerance should be investigated further in order to understand the distinctions between specific models of obesity-associated diabetes.
Our data complement and extend known functions of PACAP in VMN cells. We provide evidence that these cells can induce BAT thermogenesis. Therefore, downregulation of PACAP due to fasting and loss of leptin function likely suppresses appropriate energy expenditure. In addition, it was recently demonstrated that these VMN cells, using the same Adcyap1cre mouse model, are glucose-inhibited and that activation is sufficient to elevate glucose excursion in response to intraperitoneal glucose challenge (39). However, our data demonstrate that this is likely a function for non-PACAP transmitters in these VMN cells. For example, almost all VMN cells contain glutamate, which is essential for the generation of the counterregulatory response to hypoglycemia (18), indicating that VMN PACAP cells may instead use glutamate to stimulate counterregulation. Furthermore, PACAP may play important roles in both glucose-excited and glucose-inhibited cells in the MBH, which may cancel each other out in our method of Adcyap1 ablation. Clearly, more investigation is needed to fully understand the underlying mechanisms in the VMN that contribute to the control of overall metabolic function.
While powerful for ensuring only CNS ablation of Adcyap1, AAVCre injections carry an inherent limitation that, in order to obtain significant loss of function within a given nucleus, injections will spill over into neighboring regions. While the injections were VMN-directed, we did observe GFP-labeled cells, indicating Cre activity, in the dorsomedial hypothalamus, posterior hypothalamus, anterior hypothalamus, and arcuate nucleus. However, Adcyap1 mRNA signal was not above background in these areas, as observed by other investigators as well (8, 64), indicating either modest PACAP expression within these cells or extremely small populations of PACAP. The VMN contains robust Adcyap1 expression that is responsive to both loss of leptin and fasting conditions (8). Furthermore, these data are strikingly similar to recent data that silencing all VMN-SF1 cells results in similarly obesity and reduced energy expenditure (65). Additionally, VMN-specific knockout of either brain-derived neurotrophic factor (66), thyroid hormone receptor β (67), or leptin receptor (20) all produce a similar, albeit less dramatic, obesity compared to Adcyap1MBHKO mice. However, VMN-specific glutamate knockout induces obesity due to hyperphagia, unlike Adcyap1MBHKO mice (18). While these data may not be dependent on VMN knockout alone, there is a considerable amount of evidence that PACAP in the VMN plays a critical role in energy balance.
Overall, these studies support an important role for PACAP within MBH cells in the control of energy balance via direct effects on body weight and BAT-related energy expenditure, but no direct effect on glucose homeostasis. MBH PACAP is required for normal energy balance, and a lack of PACAP signaling in MBH cells results in obesity. However, the MBH is a heterogeneous collection of cells that have a diverse set of functions and signals to which these cells respond (8, 20, 65, 67-71). Recent data has made it abundantly clear that there are key subpopulations in the VMN and arcuate nucleus that play distinct and sometimes opposing functions (65, 72-74). Therefore, there may be important effects of PACAP within individual subpopulations of MBH cells that offset each other, thus further studies are required to define the function of PACAP within the different populations of MBH neurons. This type of diversity in function is clearly the case in comparing CNS versus peripheral functions for neuropeptides such as PACAP. We may be underestimating the contribution of certain neuropeptides, like PACAP, that play critical roles in a specific function in a circuit-defined set of cells. Future studies will determine the precise mechanisms for these effects, including downstream signaling targets, tissues utilized for promoting energy expenditure, and effects on adipose tissue depots.
Acknowledgments
We thank Martin G. Myers Jr., David P. Olson, Paula Goforth, Alex Banks, and Jon Resch for helpful discussions. We thank the Michigan Diabetes Center (NIH P30 DK020572, including the Molecular Genetics, Animal Studies, and Microscopy, Imaging, and Cellular Physiology Cores). We thank the University of Michigan Animal Phenotyping Core (1U2CDK110678-01). We would also like to thank the American Diabetes Association (17-INI-15 to J.N.F.) and the Michigan Diabetes Center Pilot and Feasibility Grant for the funding to support this project. Lastly, we would like to thank the NIH (P30 DK046200, P30 DK057521, R01 DK075632, R01 DK089044, R01 DK096010, R01 DK111401 to BL, 5T32DK108740 to N.B.K., K08 DK118201 and T32 HL007374 to R.R., and 5T32AA007462 to D.L.H.) for funding to support this project.
Financial Support: NIH (P30 DK046200, P30 DK057521, R01 DK075632, R01 DK089044, R01 DK096010, R01 DK111401 to BL, 5T32DK108740 and UL1TR002240 to N.B.K., K08 DK118201 and T32 HL007374 to R.R., and 5T32AA007462 to D.L.H.)
The American Diabetes Association (17-INI-15 to J.N.F.)
Author Contributions: J.N.F., R.R., and N.B.K. collected and analyzed the data. J.N.F., N.B.K., B.L., D.J., D.L.H., and R.R. designed experiments. B.L. and R.R. generated Adcyap1flox mouse model and provided feedback on studies. All authors reviewed and edited the manuscript. J.N.F. is the guarantor of the manuscript.
Glossary
Abbreviations
AAVCre | adeno-associated virus vector expressing Cre |
ANOVA | analysis of variance |
BAT | brown adipose tissue |
CNS | central nervous system |
Cre | Cre recombinase |
GC | genome copies |
GFP | green fluorescent protein |
GTT | glucose tolerance test |
iBAT | interscapular brown adipose tissue |
IP | intraperitoneal |
KO | knockout |
MBH | mediobasal hypothalamus |
NBF | neutral buffered formalin |
PAC1R | PACAP Receptor 1 |
PACAP | pituitary adenylate cyclase activating polypeptide |
PBS | phosphate-buffered saline |
PCR | polymerase chain reaction |
ROI | region of interest |
SF1 | steroidogenic factor 1 |
VCO2 | carbon dioxide production |
VMN | ventromedial hypothalamic nucleus |
VO2 | oxygen consumption |
Data Availability
The datasets generated during and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.
References
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Funding
Funders who supported this work.
American Diabetes Association (1)
Grant ID: 17-INI-15
NCATS NIH HHS (1)
Grant ID: UL1 TR002240
NHLBI NIH HHS (1)
Grant ID: T32 HL007374
NIAAA NIH HHS (1)
Grant ID: T32 AA007462
NICHD NIH HHS (1)
Grant ID: P50 HD105352
NIDDK NIH HHS (11)
Grant ID: K08 DK118201
Grant ID: P30 DK020572
Grant ID: P30 DK046200
Grant ID: R01 DK075632
Grant ID: P30 DK097512
Grant ID: R01 DK089044
Grant ID: R01 DK111401
Grant ID: T32 DK094775
Grant ID: T32 DK108740
Grant ID: P30 DK057521
Grant ID: R01 DK096010
National Institutes of Health (11)
Grant ID: T32 HL007374
Grant ID: R01 DK075632
Grant ID: P30 DK046200
Grant ID: P30 DK057521
Grant ID: 5T32DK108740
Grant ID: K08 DK118201
Grant ID: 5T32AA007462
Grant ID: R01 DK089044
Grant ID: R01 DK096010
Grant ID: R01 DK111401 to BL
Grant ID: UL1TR002240