1. Introduction
Obesity is recognized as one of the risk factors associated with metabolic abnormalities, including type 2 diabetes, hypertension, hyperlipidemia, and cardiovascular disease [
1,
2,
3,
4]. Recent studies have highlighted the important role of chronic inflammation in adipose tissue in the development of metabolic abnormalities [
5,
6,
7,
8]. Several reports have demonstrated the involvement of neuropeptides and their producing neurons within the hypothalamus in feeding behavior, obesity, chronic inflammation, and related diseases. There is accumulating evidence regarding the arcuate nucleus (Arc). Neuropeptide Y (NPY) and agouti-related protein (AgRP) exhibit potent orexigenic effects [
9]. The intracerebroventricular (i.c.v.) injection of AgRP has been shown to upregulate the mRNA expressions of tumor necrosis factor-α (TNF-α), a proinflammatory cytokine, in epididymal white adipose tissue (eWAT) via the sympathetic nervous system (SNS) [
10]. AgRP-expressing neurons are also involved in energy homeostasis [
11,
12]. Conversely, α-melanocyte-stimulating hormone (α-MSH), derived from proopiomelanocortin (POMC), contributes to anorexigenic behavior in rodents through melanocortin receptor type 4 (MC4R) [
13,
14]. Chronic inhibition of POMC- and MC4R-expressing neurons results in profound obesity [
15]. In addition to the Arc, steroidogenic factor 1 (SF1) neurons, which are vital in regulating energy homeostasis in the ventromedial hypothalamus (VMH), have been found to inhibit inflammatory responses in the inguinal WAT (iWAT) of mice fed a high-fat diet (HFD) [
16]. Furthermore, corticotropin-releasing hormone (CRH)-expressing neurons in the paraventricular nucleus of the hypothalamus (PVH) are involved in the preference for a carbohydrate-rich diet over a HFD and the development of HFD-induced obesity [
17,
18]. Despite accumulating evidence on the hypothalamic regulation of energy homeostasis as described above, the complete picture remains complex and elusive.
Two novel genes,
Fam237a/
Gm39653 and
Fam237b/
Gm8773, encoding precursor proteins have been identified in the hypothalamus of chickens, rats, mice, and humans [
19,
20,
21,
22]. Owing to their distinct C-terminal amino acids, mature proteins derived from these precursor proteins are termed neurosecretory protein GL (NPGL) and neurosecretory protein GM [
19]. To date, the essential role of NPGL in energy metabolism has been revealed. NPGL-expressing cells are localized in the lateroposterior part of the Arc (ArcLP) [
21]. An acute i.c.v. injection of NPGL has been shown to stimulate feeding behavior [
21]. Hypothalamic overexpression of
Npgl leads to obesity in mice fed normal chow (NC) and high-calorie diets [
23]. However, limited research exists on the effects of NPGM on energy metabolism, except in birds [
24,
25]. A recent report showed that NPGM-enriched neurons are GABAergic and represent a subpopulation of AgRP-expressing neurons [
26]. Furthermore, recent finding revealed that an acute i.c.v. injection of NPGM stimulates feeding behavior in mice [
27]. These data indicate that NPGM and/or NPGM-expressing neurons are key hypothalamic regulators of energy metabolism in addition to NPGL. Nevertheless, little is known about the effects of NPGM and NPGM neurons on energy metabolism, primarily due to the yet-to-be-elucidated intramolecular disulfide bond pattern of endogenous NPGM.
In this study, new Cre-driver mice were generated that bicistronically express NPGM and Cre recombinase and have been conducted neuron-specific analyses to provide further insight into the hypothalamic regulation of energy metabolism by NPGM. The present study analyzes the Cre-dependent overexpression of the precursor gene, chemogenetic manipulation, and neural ablation of NPGM neurons, with a focus on the effects of NPGM neurons on feeding behavior, fat accumulation, and chronic inflammation in the WAT.
2. Materials and Methods
2.1. Animals
NPGM-Cre mice were generated using the CRISPR-Cas9 system (Cyagen Biosciences, Inc., Santa Clara, CA, USA). The gRNAs designed for the CRISPR target sequence (Forward:5’- AATGGCAGGACGTGATCTGAAGG-3’, Reverse: 5’-CACGTCCTGCCATTTTCTGTGGG-3’) and the donor vector for integration of the P2A (a self-cleaving peptide)-Cre sequence, along with Cas9 mRNA, were co-injected into fertilized mouse eggs to generate targeted knock-in offspring. Additionally, a synonymous mutation, S124 (TCC to AGT), was introduced to prevent sequence binding and recutting by gRNA after homology-directed repair. The desired mutation in the F0 founder mice was identified by PCR, followed by sequence analysis. Germline transmission and generation of F1 mice were confirmed through breeding with wild-type animals. The tail tips of weanlings (4 weeks old) were cut to obtain genomic DNA using the HotSHOT method [
28]. PCR amplifications were performed using Quick Taq HS DyeMix (TOYOBO, Osaka, Japan) with the following conditions: 94 °C for 2 min, followed by 35 cycles of 95 °C for 30 s, 55 °C for 30 s, and 68 °C for 30 s. Heterozygous mice were used in all experiments.
Male NPGM-Cre mice (8 weeks old) were housed individually under standard conditions (25 ± 1 °C under a 12 h light/12 h dark cycle) with ad libitum access to water and either NC (CE-2; CLEA Japan, Tokyo, Japan) or HFD (60% of calories from fat, 7.1% of calories from sucrose; D12492, Research Diets, New Brunswick, NJ, USA). All animal experiments were conducted in accordance with the Guide for the Care and Use of Laboratory Animals prepared by Hiroshima University (Higashi-Hiroshima, Japan). The procedures were approved by the Institutional Animal Care and Use Committee of Hiroshima University (permit numbers C21-1 and C21-16).
2.2. Production of Plasmid Enabling Cre-dependent Overexpression of Npgm
The artificial sequence (Npgm-P2A-eGFP) designed for the Cre-dependent overexpression of Npgm in NPGM-Cre mice was generated using Eurofins Genomics (Tokyo, Japan). To generate pAAV-hSyn-DIO-Npgm-P2A-eGFP, pAAV-hSyn-DIO-hM3Dq-mCherry (#44361, Addgene, Watertown, MA, USA) was modified, replacing the coding sequence of hM3Dq-mCherry with the artificial sequence.
2.3. Preparation of AAV-Based Vectors
AAV-based vectors were prepared following previous reports [
23,
29,
30] using pAAV-hSyn-DIO-
Npgm-P2A-eGFP, pAAV-hSyn-DIO-hM3Dq-mCherry, pAAV-EF1α-DIO-mCherry (#50462, addgene), and pAAV-flex-taCasp3-TEVp (#45580, addgene). AAV-based vectors were stored at -80 °C until use.
2.4. Stereotaxic Surgery
AAV injection was performed as described in previous methods [
23,
29,
30]. NPGM-Cre mice were anesthetized using isoflurane. AAVs were bilaterally delivered into the mediobasal hypothalamic region 2.2 mm caudal to the bregma, 0.25 mm lateral to the midline, and 5.8 mm ventral to the skull surface, using a Neuros Syringe (7001 KH; Hamilton, Reno, NV, USA). 0.5 µl of AAV-EF1α-DIO-mCherry (3.2 × 10
9 genome copies/µl) was delivered into the target regions of NPGM-Cre mice to confirm the neural-specific gene expression. For Cre-dependent overexpression of
Npgm, 0.5 µl of AAV-hSyn-DIO-
Npgm-P2A-eGFP (1.8 × 10
9 genome copies/µl) was injected into the target regions of NPGM-Cre mice. As a control, the same volume of AAV-hSyn-DIO-P2A-eGFP (1.2 × 10
9 genome copies/µl) was delivered into the target regions of NPGM-Cre mice. 0.5 µl of AAV-hSyn-DIO-hM3Dq-mCherry (7.2 × 10
8 genome copies/µl) was used for acute/chronic stimulation of NPGM neurons. For ablation of NPGM-neurons, 0.5 µl of AAV-flex-taCasp3-TEVp (2.2 × 10
10 genome copies/µl) or AAV-EF1α-DIO-mCherry, as a control, was injected into the target regions of NPGM-Cre mice.
2.5. Cre-Dependent Overexpression of Npgm
After AAV injection, NPGM-Cre mice were fed the NC for 28 days. Food intake and body mass were measured at the beginning of the light period (9:00). At the end of the study, mice were decapitated between 13:00 and 15:00. The mediobasal hypothalamus, adipose tissue, and the liver were collected, weighed, and frozen in liquid nitrogen. Blood was simultaneously collected and centrifuged for 15 min at 3000 × g at 4 °C after incubation for 30 min at 25 ± 1 °C. Plasma was stored at −80 °C. Parts of the iWAT and eWAT were collected as digestion solutions for flow cytometry.
2.6. Stimulation of NPGM Neurons
One week after viral injection, NPGM-Cre mice were fed a HFD for 1 week. Food deprivation was induced at 17:00 in the measurement day. Immediately before the dark period, saline or clozapine-N-oxide (CNO) (1 mg/kg) (Tocris Bioscience, Minneapolis, MN, USA) was injected intraperitoneally into NPGM-Cre mice. Simultaneously, re-feeding of a HFD was initiated. Food intake was measured at 1, 2, 4, 6, and 12 h after intraperitoneal (i.p.) injection. The following day, a crossover study was conducted on these mice. Activation of hM3Dq-expressing neurons in these mice was confirmed by immunohistochemistry after an additional CNO injection.
For chronic stimulation of NPGM neurons, NPGM-Cre mice were allowed to recover for 2 weeks with ad libitum access to the NC after stereotaxic surgery. They were then provided drinking water containing CNO (5 mg/kg) to stimulate NPGM neurons via hM3Dq for 2 weeks. Water without CNO was used as the control. Food intake and body mass were measured during the initial 3 days of CNO consumption.
2.7. Ablation of NPGM Neurons
Before AAV injection, NPGM-Cre mice were fed a HFD for 8 weeks. The mice were fed HFD for 56 days after stereotaxic surgery. An oral glucose tolerance test (OGTT) and an insulin tolerance test (ITT) were conducted 42 and 49 days later, respectively. After 56 days of stereotaxic surgery, each tissue sample was collected, as well as Cre-dependent overexpression of Npgm.
2.8. Quantitative Reverse Transcriptase PCR (qRT-PCR)
RNA isolation and qRT-PCR were performed as previously reported [
23,
30,
31]. Total RNA was isolated using the TRIzol reagent (Life Technologies, Carlsbad, CA, USA). First-strand cDNA was reverse-transcribed using the PrimeScript RT Reagent Kit with gDNA Eraser (TAKARA, Shiga, Japan). qRT-PCR was performed with THUNDERBIRD SYBR qPCR Mix (TOYOBO) under the following conditions: 95 °C for 20 s, followed by 40 cycles of 95 °C for 3 s, and 60 °C for 30 s. Data were analyzed using the 2
−ΔΔCt method with
β-actin (
Actb) [
32]. The primer sequences used in this study are listed in
Table 1.
2.9. Flow Cytometry
iWAT and eWAT were minced and shaken at 37 °C for 30 min in a digestion solution containing Collagenase I (250 U, Worthington, Lakewood, NJ, USA), DNase I (21.6 U, Worthington), and PBS. Digested samples were filtered through 300 (pluriSelect Life Science, Leipzig, Germany), 70 (funakoshi, Tokyo, Japan), and 40 µm (funakoshi) cell strainers with cation/phenol red-free Hank’s balanced salt solution (HBSS, Thermo Fisher Scientific, Waltham, MA, USA) buffer containing 2% bovine serum albumin (BSA, Sigma-Aldrich, St. Louis, MO, USA), 1 mM EDTA, and 25 mM HEPES (Thermo Fisher Scientific). After centrifugation at 400 × g for 3 min at 4 °C, red blood cells were lysed with lysis buffer (Abcam, Cambridge, UK) for 5 min and resuspended in HBSS buffer.
Harvested cells in the stromal vascular fractions were blocked with anti-mouse CD16/CD32 antibodies against Fc receptors (BD Biosciences, San Jose, CA, USA) for 10 min on ice. These cells were incubated for 30 min in HBSS buffer with BV510 mouse anti-F4/80 (Biolegend, San Diego, CA, USA) or FITC mouse anti-F4/80 (Biolegend), PE mouse anti-CD11c (Biolegend) or FITC mouse anti-CD11c (Biolegend), APC mouse anti-CD206 (Biolegend) or PE-Cy7 mouse anti-CD206 (Biolegend), PerCP/Cy5.5 mouse anti-CD3 (Biolegend) or FITC mouse anti-CD3 (Biolegend), PE-Cy7 mouse anti-CD45 (Biolegend) or PE mouse anti-CD45 (Biolegend), BV421 mouse anti-CD19 (Biolegend) or PE-Cy7 mouse anti-CD19 (Biolegend) on ice. The dead cells were stained with propidium iodide. Stained cells were analyzed using a CytoFLEX S (Beckman Coulter, Brea, CA, USA) or Cell Sorter MA900 (SONY, Tokyo, Japan). Macrophages were identified as F4/80+ cells. M1 macrophages were identified as F4/80+, CD11c+, and CD206-. M2 macrophages were identified as F4/80+, CD11c- , and CD206+. T cells were identified as CD45+ and CD3+ cells. B cells were identified as CD45+ and CD19+ cells. To compare with a negative control, unstained cells were also analyzed for comparison.
2.10. Immunohistochemistry
After fixation in 4% paraformaldehyde, cryoprotection, and freezing, the brain tissues were sectioned at a thickness of 20 µm with a cryostat at −20 °C. Immunohistochemistry of free-floating sections was performed as previously described [
20,
21,
23]. The sections were incubated in blocking buffer (1% BSA, 1% normal donkey serum, and 0.3% Triton X-100 in 10 mM PBS) for 1 h at 25 ± 1 °C before incubation with primary antibodies, including guinea pig anti-NPGM (1:100 or 1:200 dilution), rat anti-GFP (1:50000 dilution, GF090R; Nacalai Tesque, Kyoto, Japan), goat anti-mCherry (1:500 dilution, AB0040-200; Origene), and rabbit anti-c-fos (1:1000 dilution, sc-52; Santa Cruz Biotechnology) overnight at 4°C. After undergoing three washes with 10 mM PBS, the floating sections were incubated for 1 h at 25 ± 1 °C with secondary antibodies, including Alexa Fluor 488-labeled donkey antibody to rabbit anti-IgG (1:400 or 1:600 dilution, 711-545-152; Jackson ImmunoResearch Laboratories, West Grove, PA, USA), Alexa Fluor 488-labeled donkey antibody to rat anti-IgG (1:500 dilution, 712-545-150; Jackson ImmunoResearch Laboratories), Cy3-labeled donkey antibody to guinea pig anti-IgG (1:400 dilution, 706-165-148; Jackson ImmunoResearch Laboratories), and Alexa Fluor 568-labeled donkey antibody to goat anti-IgG (1:400 dilution, ab175474; Abcam). Immunoreactive labeling was observed using a microscope (Eclipse E600; Nikon, Tokyo, Japan).
2.11. Plasma and Hepatic Biochemical Analysis
A GLUCOCARD G+ meter (Arkray, Kyoto, Japan) was used to measure the glucose content of the plasma. The NEFA C-test (Wako Pure Chemical Industries, Osaka, Japan) was used to measure the free fatty acid levels. Finally, the Triglyceride E-Test (Wako Pure Chemical Industries) was used to measure triglyceride levels.
To extract triglycerides from the liver, a previously reported protocol [
33] was followed. The livers were homogenized in PBS, and a chloroform–methanol solution (2:1) was added to the homogenates. The samples were centrifuged at 18,000 × g for 5 min at 4 °C and the lower layer was collected and evaporated. The extracted lipids were dissolved in 100% isopropanol and hepatic triglyceride levels were measured using the Triglyceride E-Test (Wako Pure Chemical Industries).
2.12. OGTT and ITT
OGTT and ITT were conducted as previously reported [
30], 42 and 49 days after stereotaxic surgery, respectively, to induce ablation of NPGM neurons. Briefly, NPGM-Cre mice were fasted for 16 h for the OGTT or 4 h for the ITT. Using a GLUCOCARD G+ blood glucose meter, blood glucose levels were measured at 0, 15, 30, 60, and 120 min after oral glucose administration for the OGTT (1 g/kg weight) and i.p. injection of insulin for the ITT (0.75 units/kg). A 35 µL blood sample was collected from the tail vein using a heparinized plastic hematocrit tube (Drummond Scientific Company, Broomall, PA, USA), and the plasma was separated by centrifugation at 3,000 × g for 15 min. After centrifugation, the plasma was stored at −80 °C for insulin measurement. The LBIS Insulin-Mouse-U ELISA kit (Shibayagi, Gunma, Japan) was used to measure the insulin levels. The area under the curve (AUC) and inverse AUC for blood glucose were calculated using the linear trapezoidal method for both OGTT and ITT.
2.13. Statistical Analysis
A Student’s t-test was performed to assess differences between the 2 groups (control and treated mice). To assess the main effects of groups (between control and treated) and time, a two-way repeated measures ANOVA was conducted, followed by Sidak’s test for multiple comparisons. Differences at P values < 0.05 were considered statistically significant. All results are presented as the mean ± standard error of the mean (SEM).
3. Results
3.1. Generation of NPGM-Cre Mice
To enable a neuron-specific approach to NPGM-expressing cells, we created Cre driver mice using the CRISPR-Cas9 system. The construction of the targeted allele is shown in
Figure 1A. The TGA stop codon in exon 2 of
Npgm was replaced with a 2A self-cleaving peptide and Cre recombinase. To confirm Cre-dependent gene expression in created mice, we stereotaxically injected AAV-EF1α-DIO-mCherry into the ArcLP. Immunohistochemistry following stereotaxic injection of AAV-EF1α-DIO-mCherry into the ArcLP confirmed the co-localization of NPGM-immunoreactive cells and AAV-derived mCheery (
Figure 1B). These results indicate Cre-dependent gene expression in the generated mice, which were named “NPGM-Cre.”
3.2. Cre-Dependent Overexpression of Npgm
To examine neuron-specific overexpression of
Npgm, Cre-dependent overexpression of
Npgm in NPGM-Cre mice was performed via stereotaxic delivery of AAV-hSyn-DIO-
Npgm-P2A-eGFP (
Figure 2A).
Npgm overexpression was confirmed in the ArcLP by qRT-PCR and immunohistochemistry (
Figure 2B,C). Notably,
Npgm overexpression had limited effects on cumulative food intake or body mass gain (
Figure 2D,E). While the mass of iWAT was increased by the overexpression of
Npgm, other adipose tissues remained unchanged (
Figure 2F,G). In addition to the adipose tissues, apart from iWAT, the liver mass and hepatic triglyceride content were unaffected (
Figure 2H,I).
Fat accumulation contributes to hyperglycemia and hyperlipidemia with chronic inflammation [
34,
35]. To confirm the effects of Cre-dependent
Npgm overexpression on blood parameters, blood glucose, triglyceride, and free fatty acids levels were evaluated. Importantly, blood parameters were not altered by
Npgm overexpression (
Figure 3A–C). Subsequent examination of immune cell percentages in iWAT and eWAT revealed no changes (
Figure 3D–O). These results suggest that Cre-dependent overexpression of
Npgm induces fat accumulation without substantial effects on feeding behavior, body mass, blood parameters, or chronic inflammation in adipose tissue.
3.3. Acute and Chronic Activation of NPGM Neurons
Considering the established role of hypothalamic neuropeptide-expressing neurons in energy metabolism [
11,
15,
16], NPGM neurons may also be involved in feeding behavior and body mass changes. Acute chemogenetic activation of NPGM neurons was then employed through bilateral delivery of AAV-hSyn-DIO-hM3Dq-mCherry into the ArcLP (
Figure 4A). After i.p. injection of CNO, a ligand specific to hM3Dq, an increase in the number of c-fos/mCherry-double-positive cells were observed through immunostaining (
Figure 4B). The CNO-injected mice exhibited an increase in food intake 1 h after injection (
Figure 4C). To determine the effect of chronic stimulation of NPGM neurons on body mass changes, testing was then conducted. CNO was provided in the drinking water. Chronic administration of CNO slightly increased the cumulative food intake (
Figure 4D). While body mass gain transiently increased 1 d after CNO administration, the effect diminished over time (
Figure 4E).
3.4. Ablation of NPGM Neurons
To further evaluate the role of NPGM neurons in energy metabolism, NPGM neurons were ablated in HFD-induced obese NPGM-Cre mice using modified caspase 3 (
Figure 5A). The AAV induces apoptosis in a Cre-dependent manner [
36]. Confirmation revealed that fewer NPGM-immunoreactive cells were present than those in control mice (
Figure 5B). Unexpectedly, the cumulative food intake and body mass gain were not affected by the disruption of NPGM neurons (
Figure 5C,D). In addition to the change in body mass, the mass of adipose tissues, the liver, and hepatic triglyceride content remained at control levels (
Figure 5E–H).
Subsequently, the effects of NPGM neuron ablation on glucose/lipid metabolism were confirmed. Blood parameters were unchanged after NPGM neuronal ablation (
Figure 6A–C). The OGTT showed a slight tendency towards increased blood glucose levels after glucose injection, independent of insulin secretion (
Figure 6D–F). In contrast, elevated blood glucose levels were not observed during the ITT in NPGM neuron-ablated mice (
Figure 6G,H). These results suggest that the ablation of NPGM neurons may exacerbate glucose tolerance.
Glucose intolerance is attributed to chronic inflammation in the adipose tissue [
37]. The percentage of immune cells in iWAT and eWAT was explored. In the iWAT of NPGM neuron-ablated mice, the percentages of macrophages and M1 macrophages increased (
Figure 7A,B). Aside from these populations, the percentage of immune cells did not change (
Figure 7C–L). The data suggest that NPGM neurons may worsen glucose metabolism by exacerbating inflammatory responses in iWAT.
4. Discussion
The novel hypothalamic small protein NPGL is known to lead to overeating and fat accumulation, resulting in obesity [
19,
20,
21,
23]. Compared to the analysis of NPGL, the effects of the paralogous gene NPGM and its expressing neurons on energy metabolism have remained relatively unexplored in mice. In this study, a new Cre drive mouse, NPGM-Cre, was generated, and a neuron-specific approach in NPGM-expressing cells was employed to investigate the relationship between NPGM neurons and energy metabolism. Cre-dependent overexpression of
Npgm resulted in fat accumulation in the iWAT without an increase in feeding behavior. Activation of NPGM neurons transiently stimulated feeding behavior and body mass gain. Moreover, ablation of NPGM neurons slightly induced glucose intolerance with the progression of chronic inflammation in the iWAT. In summary, these results suggest that NPGM neurons maintain glucose homeostasis by regulating lipid storage and anti-inflammatory responses.
Although Cre-dependent overexpression of
Npgm expanded fat depots in iWAT, food intake and mRNA expression levels of lipid metabolism-related factors in iWAT were equivalent to those in the control (data not shown). The Arc, in which NPGM neurons are localized, is known to regulate lipid metabolism in WAT under the regulation of the SNS [
38]. Norepinephrine (NE) released from the axon terminus stimulates increased cAMP production via the β-adrenergic receptor [
39]. cAMP triggers the phosphorylation of adipose triglyceride lipase (ATGL), hormone-sensitive lipase (HSL), perilipin, and lipolytic enzymes via activation of protein kinase A, resulting in lipolysis [
39]. Furthermore, retrograde transsynaptic tracing from iWAT revealed relatively more labeling in the suprachiasmatic nucleus (SCN), dorsomedial hypothalamus (DMH), and Arc than from eWAT [
38]. Consequently, fat accumulation independent of hyperphagia due to Cre-dependent
Npgm overexpression may be caused by the suppression of SNS. Owing to the three Cys residues in mammalian NPGM, three patterns are expected for potential disulfide bonds [
40]. However, the pattern of endogenous NPGM remains unknown. Given that the translation of overexpressed
Npgm and the processing of precursor proteins depend on the endogenous regulatory system in NPGM neurons, the overexpressed NPGM in this study can be an appropriate form as well as an intrinsic NPGM. Future studies are required to unravel the intrinsic disulfide patterns and their effects on fat accumulation to further our understanding of endogenous NPGM-related fat accumulation.
Chronic activation of NPGM neurons via hM3Dq transiently stimulated food intake but subsequently abolished this effect. Chronic neural activation by designer receptors exclusively activated by designer drugs (DREADD) system has provided essential insights into neuroscience [
41,
42,
43,
44,
45]. However, a recent report has pointed out the possibility of receptor desensitization [
46]. Indeed, a previous study suggested receptor desensitization during chronic treatment with ligands and recovery of receptor levels to pretreatment levels during the washout period [
46,
47]. In addition, the study reported that chronic activation of hM3Dq is regulated by negative feedback from inhibitory presynaptic input [
42]. Hence, the transient effects on NPGM neurons may be explained by receptor desensitization or negative feedback regulation. Meanwhile, previous research has shown that high-dose CNO (10 mg/kg) was reversely metabolized to clozapine, a dopamine/serotonin antagonist, in mice, and recommended the use of an appropriate control group [
48,
49]. Considering that the dose of CNO in this study was 5 mg/kg, the reverse metabolism of CNO was not considered. Alternatively, recent studies have applied ion channels for the chronic manipulation of neurons [
12,
15]. Novel approaches, such as the use of ion channels, offer an elegant means of evaluating the role of NPGM neurons in energy metabolism.
Ablation of NPGM neurons using engineered caspase 3 slightly exacerbated glucose tolerance and infiltrated proinflammatory M1 macrophages in iWAT (subcutaneous WAT) but not in eWAT (visceral WAT). Subcutaneous and visceral WAT greatly differ in their contributions to chronic inflammation and metabolic abnormalities [
50]. Indeed, previous studies have reported the infiltration of macrophages in the visceral rather than subcutaneous WAT of obese animals [
51,
52]. Given the possibility of metabolic regulation of the iWAT by NPGM neurons via the SNS, it is reasonable to assume that the lesions of NPGM neurons disrupted immune homeostasis in the iWAT only, resulting in limited glucose intolerance.
Cre-dependent overexpression of
Npgm evoked fat accumulation in iWAT without affecting the percentage of immune cells in WAT. However, ablation of NPGM neurons maintained WAT mass and infiltrated M1 macrophages in iWAT. The phenotypes resulting from neuronal ablation are not necessarily identical to those caused by the pharmacological effects of neuropeptides. Melanin-concentrating hormone (MCH) has been shown to be an orexigenic neuropeptide by i.c.v. injection and analysis in KO mice [
53,
54]. In contrast, MCH neuron-ablated mice displayed equivalent feeding behavior compared to the controls, suggesting that the orexigenic effects of MCH were antagonized by the anorexigenic effects of nesfatin-1 and cocaine- and amphetamine-regulated transcript (CART) that are co-expressed neuropeptides in MCH neurons [
55,
56,
57,
58]. Recent studies have demonstrated that NPGM is coexpressed with transcripts encoding neuropeptides in the Arc [
26,
59]. Therefore, the discrepancies in phenotypes between Cre-dependent overexpression of
Npgm and ablation of NPGM neurons may be accounted for by complicated processes involving other neurotransmitters.
In conclusion, NPGM neurons participate in lipid metabolism and inflammatory responses in the WAT. Whilst the relationship between the hypothalamus and adipose tissue has been widely investigated [
16,
60], this report will provide a stepping stone for understanding the mechanisms underlying fat accumulation and inflammatory responses in the brain. Future studies, including the chronic activation of NPGM neurons over extended periods, hold the potential to substantially advance our understanding of the intricate mechanisms underlying lipid metabolism and inflammatory response within NPGM neurons.
Author Contributions
Conceptualization, Y.N., and K.U.; methodology, Y.N., M.K., E.I.-U., and M.F.; investigation, Y.N., M.K., E.I.-U., S.M., A.O., M.F., and K.U.; writing—original draft preparation, Y.N.; writing—review and editing, Y.N. and K.U.; visualization, Y.N.; project administration, K.U.; funding acquisition, Y.N., M.K., E.I.-U. and K.U. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by KAKENHI Grants (JP22KJ2330 to Y.N., JP22KJ2331 to M.K., JP22K11827 to E.I.-U., and JP19H03258, JP20K217601, and JP22H00503 to K.U.) and the Hiroshima University Graduate School Research Fellowship (Y.N. and M.K.).
Informed Consent Statement
Not applicable.
Data Availability Statement
The raw data supporting the findings of this manuscript will be made available by the corresponding author, Y.N., and K.U., to any qualified researchers upon reasonable request.
Acknowledgments
We are grateful to Professor Osamu Takeuchi (Kyoto University) and Professor Yasuhiro Ishihara (Hiroshima University) for their experimental support.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Engin, A. The Definition and Prevalence of Obesity and Metabolic Syndrome. Adv. Exp. Med. Biol. 2017, 960, 1–17. [CrossRef]
- Grundy, S.M. Obesity, Metabolic Syndrome, and Cardiovascular Disease. J. Clin. Endocrinol. Metab. 2004, 89, 2595–2600. [CrossRef]
- Powell-Wiley, T.M.; Poirier, P.; Burke, L.E.; Després, J.-P.; Gordon-Larsen, P.; Lavie, C.J.; Lear, S.A.; Ndumele, C.E.; Neeland, I.J.; Sanders, P.; et al. Obesity and Cardiovascular Disease: A Scientific Statement from the American Heart Association. Circulation 2021, 143, e984–e1010. [CrossRef]
- Leggio, M.; Lombardi, M.; Caldarone, E.; Severi, P.; D’Emidio, S.; Armeni, M.; Bravi, V.; Bendini, M.G.; Mazza, A. The Relationship between Obesity and Hypertension: An Updated Comprehensive Overview on Vicious Twins. Hypertens. Res. 2017, 40, 947–963. [CrossRef]
- Kawai, T.; Autieri, M.V.; Scalia, R. Adipose Tissue Inflammation and Metabolic Dysfunction in Obesity. Am. J. Physiol. Cell Physiol. 2021, 320, C375–C391. [CrossRef]
- Jung, U.; Choi, M.-S. Obesity and Its Metabolic Complications: The Role of Adipokines and the Relationship between Obesity, Inflammation, Insulin Resistance, Dyslipidemia and Nonalcoholic Fatty Liver Disease. Int. J. Mol. Sci. 2014, 15, 6184–6223. [CrossRef]
- Fujisaka, S.; Usui, I.; Bukhari, A.; Ikutani, M.; Oya, T.; Kanatani, Y.; Tsuneyama, K.; Nagai, Y.; Takatsu, K.; Urakaze, M.; et al. Regulatory Mechanisms for Adipose Tissue M1 and M2 Macrophages in Diet-Induced Obese Mice. Diabetes 2009, 58, 2574–2582. [CrossRef]
- Nawaz, A.; Aminuddin, A.; Kado, T.; Takikawa, A.; Yamamoto, S.; Tsuneyama, K.; Igarashi, Y.; Ikutani, M.; Nishida, Y.; Nagai, Y.; et al. CD206+ M2-like Macrophages Regulate Systemic Glucose Metabolism by Inhibiting Proliferation of Adipocyte Progenitors. Nat. Commun. 2017, 8, 1–16. [CrossRef]
- Luquet, S.; Perez, F.A.; Hnasko, T.S.; Palmiter, R.D. NPY/AgRP Neurons Are Essential for Feeding in Adult Mice but Can Be Ablated in Neonates. Science 2005, 310, 683–685. [CrossRef]
- Tang, L.; Okamoto, S.; Shiuchi, T.; Toda, C.; Takagi, K.; Sato, T.; Saito, K.; Yokota, S.; Minokoshi, Y. Sympathetic Nerve Activity Maintains an Anti-Inflammatory State in Adipose Tissue in Male Mice by Inhibiting TNF-α Gene Expression in Macrophages. Endocrinology 2015, 156, 3680–3694. [CrossRef]
- Krashes, M.J.; Koda, S.; Ye, C.; Rogan, S.C.; Adams, A.C.; Cusher, D.S.; Maratos-Flier, E.; Roth, B.L.; Lowell, B.B. Rapid, Reversible Activation of AgRP Neurons Drives Feeding Behavior in Mice. J. Clin. Invest. 2011, 121, 1424–1428. [CrossRef]
- Zhu, C.; Jiang, Z.; Xu, Y.; Cai, Z.-L.; Jiang, Q.; Xu, Y.; Xue, M.; Arenkiel, B.R.; Wu, Q.; Shu, G.; et al. Profound and Redundant Functions of Arcuate Neurons in Obesity Development. Nat. Metab. 2020, 2, 763–774. [CrossRef]
- Yaswen, L.; Diehl, N.; Brennan, M.B.; Hochgeschwender, U. Obesity in the Mouse Model of Pro-Opiomelanocortin Deficiency Responds to Peripheral Melanocortin. Nat. Med. 1999, 5, 1066–1070. [CrossRef]
- Cone, R.D. Anatomy and Regulation of the Central Melanocortin System. Nat. Neurosci. 2005, 8, 571–578. [CrossRef]
- Li, H.; Xu, Y.; Jiang, Y.; Jiang, Z.; Otiz-Guzman, J.; Morrill, J.C.; Cai, J.; Mao, Z.; Xu, Y.; Arenkiel, B.R.; et al. The Melanocortin Action Is Biased toward Protection from Weight Loss in Mice. Nat. Commun. 2023, 14, 2200. [CrossRef]
- Rashid, M.; Kondoh, K.; Palfalvi, G.; Nakajima, K.-I.; Minokoshi, Y. Inhibition of High-Fat Diet-Induced Inflammatory Responses in Adipose Tissue by SF1-Expressing Neurons of the Ventromedial Hypothalamus. Cell Rep. 2023, 42, 112627. [CrossRef]
- Okamoto, S.; Sato, T.; Tateyama, M.; Kageyama, H.; Maejima, Y.; Nakata, M.; Hirako, S.; Matsuo, T.; Kyaw, S.; Shiuchi, T.; et al. Activation of AMPK-Regulated CRH Neurons in the PVH Is Sufficient and Necessary to Induce Dietary Preference for Carbohydrate over Fat. Cell Rep. 2018, 22, 706–721. [CrossRef]
- Zhu, C.; Xu, Y.; Jiang, Z.; Tian, J.B.; Cassidy, R.M.; Cai, Z.-L.; Shu, G.; Xu, Y.; Xue, M.; Arenkiel, B.R.; et al. Disrupted Hypothalamic CRH Neuron Responsiveness Contributes to Diet-Induced Obesity. EMBO Rep. 2020, 21, e49210. [CrossRef]
- Ukena, K.; Iwakoshi-Ukena, E.; Taniuchi, S.; Bessho, Y.; Maejima, S.; Masuda, K.; Shikano, K.; Kondo, K.; Furumitsu, M.; Tachibana, T. Identification of a cDNA Encoding a Novel Small Secretory Protein, Neurosecretory Protein GL, in the Chicken Hypothalamic Infundibulum. Biochem. Biophys. Res. Commun. 2014, 446, 298–303. [CrossRef]
- Iwakoshi-Ukena, E.; Shikano, K.; Kondo, K.; Taniuchi, S.; Furumitsu, M.; Ochi, Y.; Sasaki, T.; Okamoto, S.; Bentley, G.E.; Kriegsfeld, L.J.; et al. Neurosecretory Protein GL Stimulates Food Intake, de Novo Lipogenesis, and Onset of Obesity. eLife 2017, 6, e28527. [CrossRef]
- Matsuura, D.; Shikano, K.; Saito, T.; Iwakoshi-Ukena, E.; Furumitsu, M.; Ochi, Y.; Sato, M.; Bentley, G.E.; Kriegsfeld, L.J.; Ukena, K. Neurosecretory Protein GL, a Hypothalamic Small Secretory Protein, Participates in Energy Homeostasis in Male Mice. Endocrinology 2017, 158, 1120–1129. [CrossRef]
- Ukena, K. Avian and Murine Neurosecretory Protein GL Participates in the Regulation of Feeding and Energy Metabolism. Gen. Comp. Endocrinol. 2018, 260, 164–170. [CrossRef]
- Narimatsu, Y.; Iwakoshi-Ukena, E.; Fukumura, K.; Shikano, K.; Furumitsu, M.; Morishita, M.; Bentley, G.E.; Kriegsfeld, L.J.; Ukena, K. Hypothalamic Overexpression of Neurosecretory Protein GL Leads to Obesity in Male C57BL/6J Mice. Neuroendocrinology 2022, 112, 606–620. [CrossRef]
- Shikano, K.; Taniuchi, S.; Iwakoshi-Ukena, E.; Furumitsu, M.; Bentley, G.E.; Kriegsfeld, L.J.; Ukena, K. Chronic Subcutaneous Infusion of Neurosecretory Protein GM Increases Body Mass Gain in Chicks. Gen. Comp. Endocrinol. 2018, 265, 71–76. [CrossRef]
- Kato, M.; Iwakoshi-Ukena, E.; Furumitsu, M.; Ukena, K. A Novel Hypothalamic Factor, Neurosecretory Protein GM, Causes Fat Deposition in Chicks. Front. Physiol. 2021, 12, 747473. [CrossRef]
- Campbell, J.N.; Macosko, E.Z.; Fenselau, H.; Pers, T.H.; Lyubetskaya, A.; Tenen, D.; Goldman, M.; Verstegen, A.M.J.; Resch, J.M.; McCarroll, S.A.; et al. A Molecular Census of Arcuate Hypothalamus and Median Eminence Cell Types. Nat. Neurosci. 2017, 20, 484–496. [CrossRef]
- Martinez, T.F.; Lyons-Abbott, S.; Bookout, A.L.; De Souza, E.V.; Donaldson, C.; Vaughan, J.M.; Lau, C.; Abramov, A.; Baquero, A.F.; Baquero, K.; et al. Profiling Mouse Brown and White Adipocytes to Identify Metabolically Relevant Small ORFs and Functional Microproteins. Cell Metab. 2023, 35, 166-183.e11. [CrossRef]
- Truett, G.E.; Heeger, P.; Mynatt, R.L.; Truett, A.A.; Walker, J.A.; Warman, M.L. Preparation of PCR-Quality Mouse Genomic DNA with Hot Sodium Hydroxide and Tris (HotSHOT). Biotechniques 2000, 29, 52–54. [CrossRef]
- Narimatsu, Y.; Iwakoshi-Ukena, E.; Naito, M.; Moriwaki, S.; Furumitsu, M.; Ukena, K. Neurosecretory Protein GL Accelerates Liver Steatosis in Mice Fed Medium-Fat/Medium-Fructose Diet. Int. J. Mol. Sci. 2022, 23, 2071. [CrossRef]
- Fukumura, K.; Narimatsu, Y.; Moriwaki, S.; Iwakoshi-Ukena, E.; Furumitsu, M.; Ukena, K. Overexpression of the Gene Encoding Neurosecretory Protein GL Precursor Prevents Excessive Fat Accumulation in the Adipose Tissue of Mice Fed a Long-Term High-Fat Diet. Molecules 2021, 26, 6006. [CrossRef]
- Narimatsu, Y.; Matsuura, D.; Iwakoshi-Ukena, E.; Furumitsu, M.; Ukena, K. Neurosecretory Protein GL Promotes Normotopic Fat Accumulation in Male ICR Mice. Int. J. Mol. Sci. 2022, 23, 6488. [CrossRef]
- Livak, K.J.; Schmittgen, T.D. Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2-ΔΔCT Method. Methods 2001, 25, 402–408. [CrossRef]
- Sugasawa, T.; Ono, S.; Yonamine, M.; Fujita, S.I.; Matsumoto, Y.; Aoki, K.; Nakano, T.; Tamai, S.; Yoshida, Y.; Kawakami, Y.; et al. One Week of Cdahfd Induces Steatohepatitis and Mitochondrial Dysfunction with Oxidative Stress in Liver. Int. J. Mol. Sci. 2021, 22, 5851. [CrossRef]
- Sullivan, P.W.; Ghushchyan, V.H.; Ben-Joseph, R. The Impact of Obesity on Diabetes, Hyperlipidemia and Hypertension in the United States. Qual. Life Res. 2008, 17, 1063–1071. [CrossRef]
- Monteiro, R.; Azevedo, I. Chronic Inflammation in Obesity and the Metabolic Syndrome. Mediators Inflamm. 2010, 2010, 289645. [CrossRef]
- Yang, C.F.; Chiang, M.C.; Gray, D.C.; Prabhakaran, M.; Alvarado, M.; Juntti, S.A.; Unger, E.K.; Wells, J.A.; Shah, N.M. Sexually Dimorphic Neurons in the Ventromedial Hypothalamus Govern Mating in Both Sexes and Aggression in Males. Cell 2013, 153, 896–909. [CrossRef]
- Wu, H.; Ballantyne, C.M. Metabolic Inflammation and Insulin Resistance in Obesity. Circ. Res. 2020, 126, 1549–1564. [CrossRef]
- Bamshad, M.; Aoki, V.T.; Adkison, M.G.; Warren, W.S.; Bartness, T.J. Central Nervous System Origins of the Sympathetic Nervous System Outflow to White Adipose Tissue. Am. J. Physiol. 1998, 275. R291–299. [CrossRef]
- Bartness, T.J.; Song, C.K. Thematic Review Series: Adipocyte Biology. Sympathetic and Sensory Innervation of White Adipose Tissue. J. Lipid Res. 2007, 48, 1655–1672. [CrossRef]
- Masuda, K.; Furumitsu, M.; Taniuchi, S.; Iwakoshi-Ukena, E.; Ukena, K. Production and Characterization of Neurosecretory Protein GM Using Escherichia Coli and Chinese Hamster Ovary Cells. FEBS Open Bio 2015, 5, 844–851. [CrossRef]
- Page, C.E.; Shepard, R.; Heslin, K.; Coutellier, L. Prefrontal Parvalbumin Cells Are Sensitive to Stress and Mediate Anxiety-Related Behaviors in Female Mice. Sci. Rep. 2019, 9, 19772. [CrossRef]
- Ewbank, S.N.; Campos, C.A.; Chen, J.Y.; Bowen, A.J.; Padilla, S.L.; Dempsey, J.L.; Cui, J.Y.; Palmiter, R.D. Chronic Gq Signaling in AgRP Neurons Does Not Cause Obesity. Proc. Natl. Acad. Sci. U. S. A. 2020, 117, 20874–20880. [CrossRef]
- Pozhidayeva, D.Y.; Farris, S.P.; Goeke, C.M.; Firsick, E.J.; Townsley, K.G.; Guizzetti, M.; Ozburn, A.R. Chronic Chemogenetic Stimulation of the Nucleus Accumbens Produces Lasting Reductions in Binge Drinking and Ameliorates Alcohol-Related Morphological and Transcriptional Changes. Brain Sci. 2020, 10, 109. [CrossRef]
- Xu, J.-J.; Gao, P.; Wu, Y.; Yin, S.-Q.; Zhu, L.; Xu, S.-H.; Tang, D.; Cheung, C.-W.; Jiao, Y.-F.; Yu, W.-F.; et al. G Protein-Coupled Estrogen Receptor in the Rostral Ventromedial Medulla Contributes to the Chronification of Postoperative Pain. CNS Neurosci. Ther. 2021, 27, 1313–1326. [CrossRef]
- Takahashi, T.M.; Sunagawa, G.A.; Soya, S.; Abe, M.; Sakurai, K.; Ishikawa, K.; Yanagisawa, M.; Hama, H.; Hasegawa, E.; Miyawaki, A.; et al. A Discrete Neuronal Circuit Induces a Hibernation-like State in Rodents. Nature 2020, 583, 109–114. [CrossRef]
- Bikson, M.; Nitsche, M.; Claes, M.; De Groef, L.; Moons, L. The DREADDful Hurdles and Opportunities of the Chronic Chemogenetic Toolbox. Cells 2022, 11, 1110. [CrossRef]
- Poyraz, F.C.; Holzner, E.; Bailey, M.R.; Meszaros, J.; Kenney, L.; Kheirbek, M.A.; Balsam, P.D.; Kellendonk, C. Decreasing Striatopallidal Pathway Function Enhances Motivation by Energizing the Initiation of Goal-Directed Action. J. Neurosci. 2016, 36, 5988–6001. [CrossRef]
- Manvich, D.F.; Webster, K.A.; Foster, S.L.; Farrell, M.S.; Ritchie, J.C.; Porter, J.H.; Weinshenker, D. The DREADD Agonist Clozapine N-Oxide (CNO) Is Reverse-Metabolized to Clozapine and Produces Clozapine-like Interoceptive Stimulus Effects in Rats and Mice. Sci. Rep. 2018, 8, 3840. [CrossRef]
- MacLaren, D.A.A.; Browne, R.W.; Shaw, J.K.; Krishnan Radhakrishnan, S.; Khare, P.; España, R.A.; Clark, S.D. Clozapine N-Oxide Administration Produces Behavioral Effects in Long-Evans Rats: Implications for Designing DREADD Experiments. eNeuro 2016, 3, ENEURO.0219-16.2016. [CrossRef]
- Tran, T.T.; Yamamoto, Y.; Gesta, S.; Kahn, C.R. Beneficial Effects of Subcutaneous Fat Transplantation on Metabolism. Cell Metab. 2008, 7, 410–420. [CrossRef]
- Strissel, K.J.; Stancheva, Z.; Miyoshi, H.; Perfield, J.W., 2nd; DeFuria, J.; Jick, Z.; Greenberg, A.S.; Obin, M.S. Adipocyte Death, Adipose Tissue Remodeling, and Obesity Complications. Diabetes 2007, 56, 2910–2918. [CrossRef]
- Murano, I.; Barbatelli, G.; Parisani, V.; Latini, C.; Muzzonigro, G.; Castellucci, M.; Cinti, S. Dead Adipocytes, Detected as Crown-like Structures, Are Prevalent in Visceral Fat Depots of Genetically Obese Mice. J. Lipid Res. 2008, 49, 1562–1568. [CrossRef]
- Qu, D.; Ludwig, D.S.; Gammeltoft, S.; Piper, M.; Pelleymounter, M.A.; Cullen, M.J.; Mathes, W.F.; Przypek, R.; Kanarek, R.; Maratos-Flier, E. A Role for Melanin-Concentrating Hormone in the Central Regulation of Feeding Behaviour. Nature 1996, 380, 243–247. [CrossRef]
- Shimada, M.; Tritos, N.A.; Lowell, B.B.; Flier, J.S.; Maratos-Flier, E. Mice Lacking Melanin-Concentrating Hormone Are Hypophagic and Lean. Nature 1998, 396, 670–674. [CrossRef]
- Lambert, P.D.; Couceyro, P.R.; McGirr, K.M.; Dall Vechia, S.E.; Smith, Y.; Kuhar, M.J. CART Peptides in the Central Control of Feeding and Interactions with Neuropeptide Y. Synapse 1998, 29, 293–298. [CrossRef]
- Yang, S.-C.; Shieh, K.-R.; Li, H.-Y. Cocaine- and Amphetamine-Regulated Transcript in the Nucleus Accumbens Participates in the Regulation of Feeding Behavior in Rats. Neuroscience 2005, 133, 841–851. [CrossRef]
- Oh-I, S.; Shimizu, H.; Satoh, T.; Okada, S.; Adachi, S.; Inoue, K.; Eguchi, H.; Yamamoto, M.; Imaki, T.; Hashimoto, K.; et al. Identification of Nesfatin-1 as a Satiety Molecule in the Hypothalamus. Nature 2006, 443, 709–712. [CrossRef]
- Whiddon, B.B.; Palmiter, R.D. Ablation of Neurons Expressing Melanin-Concentrating Hormone (MCH) in Adult Mice Improves Glucose Tolerance Independent of MCH Signaling. J. Neurosci. 2013, 33, 2009–2016. [CrossRef]
- Sugino, K.; Clark, E.; Schulmann, A.; Shima, Y.; Wang, L.; Hunt, D.L.; Hooks, B.M.; Tränkner, D.; Chandrashekar, J.; Picard, S.; et al. Mapping the Transcriptional Diversity of Genetically and Anatomically Defined Cell Populations in the Mouse Brain. eLife 2019, 8, e38619. [CrossRef]
- Cardoso, F.; Klein Wolterink, R.G.J.; Godinho-Silva, C.; Domingues, R.G.; Ribeiro, H.; da Silva, J.A.; Mahú, I.; Domingos, A.I.; Veiga-Fernandes, H. Neuro-Mesenchymal Units Control ILC2 and Obesity via a Brain–Adipose Circuit. Nature 2021, 597, 410–414. [CrossRef]
Figure 1.
Generation and Verification of NPGM-Cre mice. (A) Targeted alleles in the NPGM-Cre mice. (B) Representative micrographs of the mediobasal hypothalamus at 4 weeks after injection of AAV-EF1α-DIO-mCherry. The arrowheads indicate NPGM-immunoreactive mCherry-expressing neurons. NPGM: neurosecretory protein, GM. Scale bars = 100 µm.
Figure 1.
Generation and Verification of NPGM-Cre mice. (A) Targeted alleles in the NPGM-Cre mice. (B) Representative micrographs of the mediobasal hypothalamus at 4 weeks after injection of AAV-EF1α-DIO-mCherry. The arrowheads indicate NPGM-immunoreactive mCherry-expressing neurons. NPGM: neurosecretory protein, GM. Scale bars = 100 µm.
Figure 2.
Cre-dependent overexpression of Npgm in NPGM-Cre mice. (A) Construction of AAV-based vector. (B) mRNA expression level of Npgm in the mediobasal hypothalamus at the end of Npgm overexpression. (C) Representative micrograph of the mediobasal hypothalamus at 20 days after injection of AAV-CTL or AAV-NPGM. (D) Cumulative food intake. (E) Body mass gain. (F) Mass of the inguinal, epididymal, retroperitoneal, and perirenal WAT. (G) Mass of the interscapular BAT. (H) Mass of the liver. (I) Content of hepatic triglyceride. Each value represents the mean ± SEM (n = 5). Asterisks indicate statistically significant differences (*P < 0.05, ***P < 0.005). Differences between groups were assessed by Student’s t-test or two-way ANOVA with repeated measures followed by Sidak’s test for multiple comparisons. NPGM: neurosecretory protein GM; AAV-CTL: AAV-based control vector; AAV-NPGM: AAV-based NPGM-precursor gene vector; WAT: white adipose tissue; BAT: brown adipose tissue. Scale bars = 100 µm.
Figure 2.
Cre-dependent overexpression of Npgm in NPGM-Cre mice. (A) Construction of AAV-based vector. (B) mRNA expression level of Npgm in the mediobasal hypothalamus at the end of Npgm overexpression. (C) Representative micrograph of the mediobasal hypothalamus at 20 days after injection of AAV-CTL or AAV-NPGM. (D) Cumulative food intake. (E) Body mass gain. (F) Mass of the inguinal, epididymal, retroperitoneal, and perirenal WAT. (G) Mass of the interscapular BAT. (H) Mass of the liver. (I) Content of hepatic triglyceride. Each value represents the mean ± SEM (n = 5). Asterisks indicate statistically significant differences (*P < 0.05, ***P < 0.005). Differences between groups were assessed by Student’s t-test or two-way ANOVA with repeated measures followed by Sidak’s test for multiple comparisons. NPGM: neurosecretory protein GM; AAV-CTL: AAV-based control vector; AAV-NPGM: AAV-based NPGM-precursor gene vector; WAT: white adipose tissue; BAT: brown adipose tissue. Scale bars = 100 µm.
Figure 3.
Effects of Cre-dependent overexpression of Npgm on blood parameters (A–C) and the population of immune cells in the iWAT (D–I), and eWAT (J–O). Plasma levels of (A) glucose, (B) triglyceride, and (C) free fatty acids. Populations of (D) macrophages, (E) M1 macrophages, (F) M2 macrophages, (G) M1/M2, (H) T cells, and (I) B cells in the iWAT. Populations of (J) macrophages, (K) M1 macrophages, (L) M2 macrophages, (M) M1/M2, (N) T cells, and (O) B cells in the eWAT. Each value represents the mean ± SEM (n = 4–5). Differences between groups were assessed by Student’s t-test. NPGM: neurosecretory protein GM; AAV-CTL: AAV-based control vector; AAV-NPGM: AAV-based NPGM-precursor gene vector; iWAT: inguinal white adipose tissue; eWAT: epididymal white adipose tissue; M1 macrophages: classically activated macrophages; M2 macrophages: alternatively activated macrophages.
Figure 3.
Effects of Cre-dependent overexpression of Npgm on blood parameters (A–C) and the population of immune cells in the iWAT (D–I), and eWAT (J–O). Plasma levels of (A) glucose, (B) triglyceride, and (C) free fatty acids. Populations of (D) macrophages, (E) M1 macrophages, (F) M2 macrophages, (G) M1/M2, (H) T cells, and (I) B cells in the iWAT. Populations of (J) macrophages, (K) M1 macrophages, (L) M2 macrophages, (M) M1/M2, (N) T cells, and (O) B cells in the eWAT. Each value represents the mean ± SEM (n = 4–5). Differences between groups were assessed by Student’s t-test. NPGM: neurosecretory protein GM; AAV-CTL: AAV-based control vector; AAV-NPGM: AAV-based NPGM-precursor gene vector; iWAT: inguinal white adipose tissue; eWAT: epididymal white adipose tissue; M1 macrophages: classically activated macrophages; M2 macrophages: alternatively activated macrophages.
Figure 4.
Acute (B, C) and chronic activation (D, E) of NPGM neurons. (A) Construction of AAV-based vector. (B) Representative micrographs of the mediobasal hypothalamus 90 min after injection of CNO of NPGM-Cre mice expressed hM3Dq. Arrowheads indicate c-fos-immunoreactive mCherry-expressing neurons. (C) Cumulative food intake after CNO injection. (D) Cumulative food intake after CNO drinking. (E) Body mass gain after CNO drinking. Each value represents the mean ± SEM (n = 3–13). Asterisks indicate statistically significant differences (*P < 0.05, **P < 0.01). Differences between groups were assessed by Student’s t-test or two-way ANOVA with repeated measures followed by Sidak’s test for multiple comparisons. NPGM: neurosecretory protein GM; CNO: clozapine-N-oxide. Scale bars = 100 µm.
Figure 4.
Acute (B, C) and chronic activation (D, E) of NPGM neurons. (A) Construction of AAV-based vector. (B) Representative micrographs of the mediobasal hypothalamus 90 min after injection of CNO of NPGM-Cre mice expressed hM3Dq. Arrowheads indicate c-fos-immunoreactive mCherry-expressing neurons. (C) Cumulative food intake after CNO injection. (D) Cumulative food intake after CNO drinking. (E) Body mass gain after CNO drinking. Each value represents the mean ± SEM (n = 3–13). Asterisks indicate statistically significant differences (*P < 0.05, **P < 0.01). Differences between groups were assessed by Student’s t-test or two-way ANOVA with repeated measures followed by Sidak’s test for multiple comparisons. NPGM: neurosecretory protein GM; CNO: clozapine-N-oxide. Scale bars = 100 µm.
Figure 5.
Ablation of NPGM neurons in NPGM-Cre mice. (A) Construction of AAV-based vector. (B) Representative micrograph of the mediobasal hypothalamus at 4 weeks after injection of AAVs for control and ablation group, respectively. (C) Cumulative food intake. (D) Body mass gain. (E) Mass of the inguinal, epididymal, retroperitoneal, and perirenal WAT. (F) Mass of the interscapular BAT. (G) Mass of the liver. (H) Content of hepatic triglyceride. Each value represents the mean ± SEM (n = 5–6). Differences between groups were assessed by Student’s t-test or two-way ANOVA with repeated measures followed by Sidak’s test for multiple comparisons. NPGM: neurosecretory protein GM; WAT: white adipose tissue; BAT: brown adipose tissue. Scale bars = 100 µm.
Figure 5.
Ablation of NPGM neurons in NPGM-Cre mice. (A) Construction of AAV-based vector. (B) Representative micrograph of the mediobasal hypothalamus at 4 weeks after injection of AAVs for control and ablation group, respectively. (C) Cumulative food intake. (D) Body mass gain. (E) Mass of the inguinal, epididymal, retroperitoneal, and perirenal WAT. (F) Mass of the interscapular BAT. (G) Mass of the liver. (H) Content of hepatic triglyceride. Each value represents the mean ± SEM (n = 5–6). Differences between groups were assessed by Student’s t-test or two-way ANOVA with repeated measures followed by Sidak’s test for multiple comparisons. NPGM: neurosecretory protein GM; WAT: white adipose tissue; BAT: brown adipose tissue. Scale bars = 100 µm.
Figure 6.
Effects of ablation of NPGM neurons on blood parameters (A–C) and glucose metabolism (D–H). Plasma levels of (A) glucose, (B) triglyceride, and (C) free fatty acids. (D) Blood level of glucose, (E) AUC for blood level of glucose, and (F) plasma level of insulin after oral injection of glucose. (G) Blood level of glucose and (H) AUC for blood level of glucose after i.p. injection of insulin. Each value represents the mean ± SEM (n = 5–6). Differences between groups were assessed by Student’s t-test. NPGM: neurosecretory protein GM; AUC: area under the curve; i.p.: intraperitoneal.
Figure 6.
Effects of ablation of NPGM neurons on blood parameters (A–C) and glucose metabolism (D–H). Plasma levels of (A) glucose, (B) triglyceride, and (C) free fatty acids. (D) Blood level of glucose, (E) AUC for blood level of glucose, and (F) plasma level of insulin after oral injection of glucose. (G) Blood level of glucose and (H) AUC for blood level of glucose after i.p. injection of insulin. Each value represents the mean ± SEM (n = 5–6). Differences between groups were assessed by Student’s t-test. NPGM: neurosecretory protein GM; AUC: area under the curve; i.p.: intraperitoneal.
Figure 7.
Effects of ablation of NPGM neurons on the population of immune cells in the iWAT (A–F), and eWAT (G–L). Populations of (A) macrophages, (B) M1 macrophages, (C) M2 macrophages, (D) M1/M2, (E) T cells, and (F) B cells in the iWAT. Populations of (G) macrophages, (H) M1 macrophages, (I) M2 macrophages, (J) M1/M2, (K) T cells, and (L) B cells in the eWAT. Each value represents the mean ± SEM (n = 5–6). Asterisks indicate statistically significant differences (*P < 0.05). Differences between groups were assessed by Student’s t-test. NPGM: neurosecretory protein GM; iWAT: inguinal white adipose tissue; eWAT: epididymal white adipose tissue; M1 macrophages: classically activated macrophages; M2 macrophages: alternatively activated macrophages.
Figure 7.
Effects of ablation of NPGM neurons on the population of immune cells in the iWAT (A–F), and eWAT (G–L). Populations of (A) macrophages, (B) M1 macrophages, (C) M2 macrophages, (D) M1/M2, (E) T cells, and (F) B cells in the iWAT. Populations of (G) macrophages, (H) M1 macrophages, (I) M2 macrophages, (J) M1/M2, (K) T cells, and (L) B cells in the eWAT. Each value represents the mean ± SEM (n = 5–6). Asterisks indicate statistically significant differences (*P < 0.05). Differences between groups were assessed by Student’s t-test. NPGM: neurosecretory protein GM; iWAT: inguinal white adipose tissue; eWAT: epididymal white adipose tissue; M1 macrophages: classically activated macrophages; M2 macrophages: alternatively activated macrophages.
Table 1.
Sequences of oligonucleotide primers for qRT-PCR.
Table 1.
Sequences of oligonucleotide primers for qRT-PCR.
Gene |
Sense Primer (5' to 3') |
Antisense Primer (5' to 3') |
Npgm |
CTCTCTGACGCTGATAGACC |
AGATACTGTAATGCCCAGGA |
Actb |
GGCACCACACCTTCTACAAT |
AGGTCTCAAACATGATCTGG |
Genotyping 1 |
CGTTCTGCTGTTCAGTCTCACTG |
GATTCCATTCTTCTATGCAACCCAT |
Genotyping 2 |
GCTGATGATCCGAATAACTACCTG |
GATTCCATTCTTCTATGCAACCCAT |
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).