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Başer Ö, Yavuz Y, Özen DÖ, Özgün HB, Ağuş S, Civaş CC, Atasoy D, Yılmaz B. Effects of chronic high fat diet on mediobasal hypothalamic satiety neuron function in POMC-Cre mice. Mol Metab 2024; 82:101904. [PMID: 38395148 PMCID: PMC10910127 DOI: 10.1016/j.molmet.2024.101904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/12/2024] [Accepted: 02/20/2024] [Indexed: 02/25/2024] Open
Abstract
OBJECTIVE The prevalence of obesity has increased over the past three decades. Proopiomelanocortin (POMC) neurons in the hypothalamic arcuate nucleus (ARC) play a vital role in induction of satiety. Chronic consumption of high-fat diet is known to reduce hypothalamic neuronal sensitivity to hormones like leptin, thus contributing to the development and persistence of obesity. The functional and morphological effects of a high-calorie diet on POMC neurons and how these effects contribute to the development and maintenance of the obese phenotype are not fully understood. For this purpose, POMC-Cre transgenic mice model was exposed to high-fat diet (HFD) and at the end of a 3- and 6-month period, electrophysiological and morphological changes, and the role of POMC neurons in homeostatic nutrition and their response to leptin were thoroughly investigated. METHODS Effects of HFD on POMC-satiety neurons in transgenic mice models exposed to chronic high-fat diet were investigated using electrophysiological (patch-clamp), chemogenetic and Cre recombinase advanced technological methods. Leptin, glucose and lipid profiles were determined and analyzed. RESULTS In mice exposed to a high-fat diet for 6 months, no significant changes in POMC dendritic spine number or projection density from POMC neurons to the paraventricular hypothalamus (PVN), lateral hypothalamus (LH), and bed nucleus stria terminalis (BNST) were observed. It was revealed that leptin hormone did not change the electrophysiological activities of POMC neurons in mice fed with HFD for 6 months. In addition, chemogenetic stimulation of POMC neurons increased HFD consumption. In the 3-month HFD-fed group, POMC activation induced an orexigenic response in mice, whereas switching to a standard diet was found to abolish orexigenic behavior in POMC mice. CONCLUSIONS Chronic high fat consumption disrupts the regulation of POMC neuron activation by leptin. Altered POMC neuron activation abolished the neuron's characteristic behavioral anorexigenic response. Change in nutritional content contributes to the reorganization of developing maladaptations.
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Affiliation(s)
- Özge Başer
- Yeditepe University, Faculty of Medicine, Department of Physiology, Istanbul, Türkiye
| | - Yavuz Yavuz
- Yeditepe University, Faculty of Medicine, Department of Physiology, Istanbul, Türkiye
| | - Deniz Öykü Özen
- Yeditepe University, Faculty of Medicine, Department of Physiology, Istanbul, Türkiye
| | - Hüseyin Buğra Özgün
- Yeditepe University, Faculty of Medicine, Department of Physiology, Istanbul, Türkiye
| | - Sami Ağuş
- Yeditepe University, Faculty of Medicine, Department of Physiology, Istanbul, Türkiye
| | - Cihan Civan Civaş
- Yeditepe University, Faculty of Medicine, Department of Physiology, Istanbul, Türkiye
| | - Deniz Atasoy
- University of Iowa, Carver College of Medicine, Department of Neuroscience and Pharmacology, Iowa City, USA
| | - Bayram Yılmaz
- Yeditepe University, Faculty of Medicine, Department of Physiology, Istanbul, Türkiye; Izmir Biomedicine and Genome Center, Izmir, Türkiye.
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Zhang Y, Hu J, Zhong Y, Liu S, Liu L, Mu X, Chen C, Yang S, Li G, Zhang D, Huang X, Yang J, Huang X, Bian S, Nie S. Insoluble/soluble fraction ratio determines effects of dietary fiber on gut microbiota and serum metabolites in healthy mice. Food Funct 2024; 15:338-354. [PMID: 38088096 DOI: 10.1039/d3fo04068b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Both soluble dietary fiber (SDF) and insoluble dietary fiber (IDF) play pivotal roles in maintaining gut microbiota homeostasis; whether the effects of the different ratios of IDF and SDF are consistent remains unclear. Consequently, we selected SDFs and IDFs from six representative foods (apple, celery, kale, black fungus, oats, and soybeans) and formulated nine dietary fiber recipes composed of IDF and SDF with a ratio from 1 : 9 to 9 : 1 (NDFR) to compare their impact on microbial effects with healthy mice. We discovered that NDFR treatment decreased the abundance of Proteobacteria and the ratio of Firmicutes/Bacteroidetes at the phylum level. The α diversity and relative richness of Parabacteroides and Prevotella at the genus level showed an upward trend along with the ratio of IDF increasing, while the relative abundance of Akkermansia at the genus level and the production of acetic acid and propionic acid exhibited an increased trend along with the ratio of SDF increasing. The relative abundance of Parabacteroides and Prevotella in the I9S1DF group (the ratio of IDF and SDF was 9 : 1) was 1.72 times and 5.92 times higher than that in the I1S9DF group (the ratio of IDF and SDF was 1 : 9), respectively. The relative abundance of Akkermansia in the I1S9DF group was 17.18 times higher than that in the I9S1DF group. Moreover, a high ratio of SDF (SDF reaches 60% or more) enriched the glycerophospholipid metabolism pathway; however, a high ratio of IDF (IDF reaches 80% or more) regulated the tricarboxylic acid cycle. These findings are helpful in the development of dietary fiber supplements based on gut microbiota and metabolites.
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Affiliation(s)
- Yanli Zhang
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Jielun Hu
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Yadong Zhong
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Shuai Liu
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Liandi Liu
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Xinyi Mu
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Chunhua Chen
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Shenji Yang
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Guohao Li
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Duoduo Zhang
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Xinru Huang
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Jinrui Yang
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Xiaojun Huang
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Shuigen Bian
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
| | - Shaoping Nie
- State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, 235 Nanjing East Road, Nanchang 330047, China.
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Scott DAV, Benavente E, Libiseller-Egger J, Fedorov D, Phelan J, Ilina E, Tikhonova P, Kudryavstev A, Galeeva J, Clark T, Lewin A. Bayesian compositional regression with microbiome features via variational inference. BMC Bioinformatics 2023; 24:210. [PMID: 37217852 PMCID: PMC10201722 DOI: 10.1186/s12859-023-05219-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 03/02/2023] [Indexed: 05/24/2023] Open
Abstract
The microbiome plays a key role in the health of the human body. Interest often lies in finding features of the microbiome, alongside other covariates, which are associated with a phenotype of interest. One important property of microbiome data, which is often overlooked, is its compositionality as it can only provide information about the relative abundance of its constituting components. Typically, these proportions vary by several orders of magnitude in datasets of high dimensions. To address these challenges we develop a Bayesian hierarchical linear log-contrast model which is estimated by mean field Monte-Carlo co-ordinate ascent variational inference (CAVI-MC) and easily scales to high dimensional data. We use novel priors which account for the large differences in scale and constrained parameter space associated with the compositional covariates. A reversible jump Monte Carlo Markov chain guided by the data through univariate approximations of the variational posterior probability of inclusion, with proposal parameters informed by approximating variational densities via auxiliary parameters, is used to estimate intractable marginal expectations. We demonstrate that our proposed Bayesian method performs favourably against existing frequentist state of the art compositional data analysis methods. We then apply the CAVI-MC to the analysis of real data exploring the relationship of the gut microbiome to body mass index.
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Affiliation(s)
- Darren A. V. Scott
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom
| | - Ernest Benavente
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Julian Libiseller-Egger
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom
| | - Dmitry Fedorov
- Federal Research and Clinical Center of Physical-Chemical Medicine, Moscow, Russia
| | - Jody Phelan
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom
| | - Elena Ilina
- Federal Research and Clinical Center of Physical-Chemical Medicine, Moscow, Russia
| | - Polina Tikhonova
- Federal Research and Clinical Center of Physical-Chemical Medicine, Moscow, Russia
- Bioinformatics and Genomics Intercollege Graduate Program, Huck Institutes of Life Sciences, Pennsylvania State University, Pennsylvania, USA
| | | | - Julia Galeeva
- Federal Research and Clinical Center of Physical-Chemical Medicine, Moscow, Russia
| | - Taane Clark
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom
| | - Alex Lewin
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom
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Fernandes IC, Santos TAP, Oliveira DT, Oliveira VF, Sousa GG, Pereira LS, Barboza NR, Evangelista EA, Guerra-Sá R. Effects of the Long-Term Consumption of a High-Sucrose Diet on microRNA Expression in Visceral Adipose Tissue of Rats. Nutrients 2022; 14. [PMID: 36079722 DOI: 10.3390/nu14173465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 08/15/2022] [Accepted: 08/17/2022] [Indexed: 11/17/2022] Open
Abstract
Noncoding microRNAs are involved in lipid and carbohydrate metabolism pathways and are powerful regulators of gene expression. The goals of this study were to evaluate the temporal expression profiles of miRNAs in rat adipose tissue and predict mRNA−microRNA interactions. Newly weaned Wistar rats were divided into groups fed a standard diet and high-sucrose diet (HSD). The HSD contains 66.86% carbohydrates (40.45% standard diet, 40.45% condensed milk, and 8.58% crystal sugar), and the HSD was provided for 4, 8 and 15-week periods to investigate the expression levels of miRNAs in visceral adipose tissue using RT−qPCR. Target selection, enriched pathways and networks were analyzed in silico. The factor consumption time significantly was associated to decreases (p < 0.05) in the expression levels of the following miRNAs: 124-5p, 125-5p, 126-5p, 200c-3p, and 212-3p in all experimental groups. The factor diet significantly influenced rno-miR-124-5p, 200c-3p, and 212-3p expression (p < 0.05). A significant reduction (p < 0.05) in rno-miR-27a-3p expression was observed. The biological processes involved key pathways regulating fat deposition. Our findings provide important insights into downregulated miRNA expression patterns in visceral adipose tissue, adiposity level, hyperinsulinemia and increased VLDL-c and triglyceride levels.
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Juliawan IMP, Suwana FP, Annas JY, Akbar MF, Widjiati W. High Sucrose and Cholic Acid Diet Triggers PCOS-like Phenotype and Reduces Enterobacteriaceae Colonies in Female Wistar Rats. Pathophysiology 2022; 29:344-353. [PMID: 35893596 PMCID: PMC9326763 DOI: 10.3390/pathophysiology29030026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/26/2022] [Accepted: 07/04/2022] [Indexed: 11/25/2022] Open
Abstract
Polycystic ovary syndrome (PCOS), a common hormonal disorder in women of reproductive age, is associated with a poor and unhealthy diet. This study aimed to investigate the effect of a high sucrose and cholic acid (HSCA) diet in the presence of PCOS-like phenotypes. Female Wistar rats were divided into HSCA and normal diet groups for four weeks, each with twenty rats. Body weight was assessed before and after the study. Blood and fecal samples were obtained to measure HOMA-IR and testosterone level (ELISA) and Enterobacteriaceae isolates grown on MacConkey Agar. Obtained ovarian tissues were H&E-stained. HSCA rats demonstrated a reduction in Enterobacteriaceae colonies (median 4.75 × 105 vs. 2.47 × 104/CFU, p < 0.001) and an elevated HOMA-IR (mean 2.94 ± 1.30 vs. 4.92 ± 0.51, p < 0.001), as well as an increase in testosterone level (median 0.65 vs. 3.00 ng/mL, p < 0.001), despite no statistical differences in the change in body weight (mean −2.31 ± 14.42 vs. −3.45 ± 9.32, p = 0.769). In H&E staining, HSCA rats had a reduction in preovulatory follicle count (median 0.50 vs. 0.00, p = 0.005). The HSCA diet caused insulin resistance and high testosterone levels, which contribute to the development of PCOS, and affected folliculogenesis by altering follicular maturation, but had no effect on ovulation.
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Affiliation(s)
- I Made Putra Juliawan
- Department of Obstetrics and Gynecology, Faculty of Medicine, Airlangga University, Surabaya 75320, Indonesia; (I.M.P.J.); (J.Y.A.)
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Mataram, Mataram 83115, Indonesia
| | - Febie Putra Suwana
- Department of Obstetrics and Gynecology, General Hospital of West Nusa Tenggara, Mataram 83127, Indonesia;
| | - Jimmy Yanuar Annas
- Department of Obstetrics and Gynecology, Faculty of Medicine, Airlangga University, Surabaya 75320, Indonesia; (I.M.P.J.); (J.Y.A.)
| | - Muhammad Firman Akbar
- Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung 400, Taiwan
- Centre of Medical Education and Research, The University of Mataram Teaching Hospital, Mataram 83115, Indonesia
- Correspondence: (M.F.A.); (W.W.)
| | - Widjiati Widjiati
- Department of Veterinary Anatomy, Faculty of Veterinary Medicine, Airlangga University, Surabaya 75320, Indonesia
- Correspondence: (M.F.A.); (W.W.)
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Zheng C, Chen XK, Tian XY, Ma ACH, Wong SHS. Does the gut microbiota contribute to the antiobesity effect of exercise? A systematic review and meta-analysis. Obesity (Silver Spring) 2022; 30:407-423. [PMID: 35088557 DOI: 10.1002/oby.23345] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 10/07/2021] [Accepted: 10/31/2021] [Indexed: 12/26/2022]
Abstract
OBJECTIVE The aim of this study was to assess gut microbiota modifications after exercise in humans and animal models with obesity or type 2 diabetes and their role in exercise-induced weight loss. METHODS A systematic search of six databases was conducted on July 31, 2021. The extracted data on body fat or body weight from human and animal studies were analyzed using random-effects meta-analysis. RESULTS A total of 28 studies were included, with all studies reporting exercise-induced gut microbiota modifications; however, the modified taxa varied among studies. Proteobacteria was the only taxa reported to be altered by exercise in more than one human and one animal study. Taxa belonging to Firmicutes were the most responsive to exercise in humans and mice, whereas Proteobacteria taxa were the most responsive to exercise in rats. A meta-analysis was conducted to examine the weight-lowering effect of exercise based on data subgrouped by altered or unaltered α-diversity or β-diversity. The association between the weight-lowering effect of exercise and altered β-diversity was observed in humans with obesity but not in animals. CONCLUSIONS These findings suggest that gut microbiota modifications contribute to exercise-induced weight loss in obesity; however, their precise contributions, especially those of taxon-level variations, remain to be investigated.
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Affiliation(s)
- Chen Zheng
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Sha Tin, Hong Kong, China
| | - Xiang-Ke Chen
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Xiao Yu Tian
- School of Biomedical Sciences, The Chinese University of Hong Kong, Sha Tin, Hong Kong, China
| | - Alvin Chun-Hang Ma
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Stephen Heung-Sang Wong
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Sha Tin, Hong Kong, China
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Rautmann AW, de La Serre CB. Microbiota's Role in Diet-Driven Alterations in Food Intake: Satiety, Energy Balance, and Reward. Nutrients 2021; 13:nu13093067. [PMID: 34578945 PMCID: PMC8470213 DOI: 10.3390/nu13093067] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 08/18/2021] [Accepted: 08/25/2021] [Indexed: 02/07/2023] Open
Abstract
The gut microbiota plays a key role in modulating host physiology and behavior, particularly feeding behavior and energy homeostasis. There is accumulating evidence demonstrating a role for gut microbiota in the etiology of obesity. In human and rodent studies, obesity and high-energy feeding are most consistently found to be associated with decreased bacterial diversity, changes in main phyla relative abundances and increased presence of pro-inflammatory products. Diet-associated alterations in microbiome composition are linked with weight gain, adiposity, and changes in ingestive behavior. There are multiple pathways through which the microbiome influences food intake. This review discusses these pathways, including peripheral mechanisms such as the regulation of gut satiety peptide release and alterations in leptin and cholecystokinin signaling along the vagus nerve, as well as central mechanisms, such as the modulation of hypothalamic neuroinflammation and alterations in reward signaling. Most research currently focuses on determining the role of the microbiome in the development of obesity and using microbiome manipulation to prevent diet-induced increase in food intake. More studies are necessary to determine whether microbiome manipulation after prolonged energy-dense diet exposure and obesity can reduce intake and promote meaningful weight loss.
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Ullah R, Rauf N, Nabi G, Yi S, Yu-Dong Z, Fu J. Mechanistic insight into high-fat diet-induced metabolic inflammation in the arcuate nucleus of the hypothalamus. Biomed Pharmacother 2021; 142:112012. [PMID: 34388531 DOI: 10.1016/j.biopha.2021.112012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 07/31/2021] [Accepted: 08/03/2021] [Indexed: 12/16/2022] Open
Abstract
A high-fat diet (HFD) is linked with cytokines production by non-neuronal cells within the hypothalamus, which mediates metabolic inflammation. These cytokines then activate different inflammatory mediators in the arcuate nucleus of the hypothalamus (ARC), a primary hypothalamic area accommodating proopiomelanocortin (POMC) and agouti-related peptide (AGRP) neurons, first-order neurons that sense and integrate peripheral metabolic signals and then respond accordingly. These mediators, such as inhibitor of κB kinase-β (IKKβ), suppression of cytokine signaling 3 (SOCS3), c-Jun N-terminal kinases (JNKs), protein kinase C (PKC), etc., cause insulin and leptin resistance in POMC and AGRP neurons and support obesity and related metabolic complications. On the other hand, inhibition of these mediators has been shown to counteract the impaired metabolism. Therefore, it is important to discuss the contribution of neuronal and non-neuronal cells in HFD-induced hypothalamic inflammation. Furthermore, understanding few other questions, such as the diets causing hypothalamic inflammation, the gender disparity in response to HFD feeding, and how hypothalamic inflammation affects ARC neurons to cause impaired metabolism, will be helpful for the development of therapeutic approaches to prevent or treat HFD-induced obesity.
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Affiliation(s)
- Rahim Ullah
- Department of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China; Center for Brain Research and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China
| | - Naveed Rauf
- Department of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China
| | - Ghulam Nabi
- Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang 050024, Hebei Province, China; Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, Pakistan
| | - Shen Yi
- Center for Brain Research and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China.
| | - Zhou Yu-Dong
- Center for Brain Research and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China.
| | - Junfen Fu
- Department of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China; National Clinical Research Center for Child Health, Hangzhou 310052, China; National Children's Regional Medical Center, Hangzhou 310052, China.
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Zhou J, Kong Y, Zhao W, Wei G, Wang Q, Ma L, Wang T, Shu F, Sha W. Comparison of bacterial and archaeal communities in two fertilizer doses and soil compartments under continuous cultivation system of garlic. PLoS One 2021; 16:e0250571. [PMID: 33989289 PMCID: PMC8121308 DOI: 10.1371/journal.pone.0250571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 04/12/2021] [Indexed: 01/10/2023] Open
Abstract
Soil microbial communities are affected by interactions between agricultural management (e.g., fertilizer) and soil compartment, but few studies have considered combinations of these factors. We compared the microbial abundance, diversity and community structure in two fertilizer dose (high vs. low NPK) and soil compartment (rhizosphere vs. bulk soils) under 6-year fertilization regimes in a continuous garlic cropping system in China. The soil contents of NO3- and available K were significantly higher in bulk soil in the high-NPK. The 16S rRNA gene-based bacterial and archaeal abundances were positively affected by both the fertilizer dose and soil compartment, and were higher in the high-NPK fertilization and rhizosphere samples. High-NPK fertilization increased the Shannon index and decreased bacterial and archaeal richness, whereas the evenness was marginally positively affected by both the fertilizer dose and soil compartment. Soil compartment exerted a greater effect on the bacterial and archaeal community structure than did the fertilization dose, as demonstrated by both the nonmetric multidimensional scaling and redundancy analysis results. We found that rhizosphere effects significantly distinguished 12 dominant classes of bacterial and archaeal communities, whereas the fertilizer dose significantly identified four dominant classes. In particular, a Linear Effect Size analysis showed that some taxa, including Alphaproteobacteria, Rhizobiales, Xanthomonadaceae and Flavobacterium, were enriched in the garlic rhizosphere of the high-NPK fertilizer samples. Overall, the fertilizer dose interacted with soil compartment to shape the bacterial and archaeal community composition, abundance, and biodiversity in the garlic rhizosphere. These results provide an important basis for further understanding adaptive garlic-microbe feedback, reframing roots as a significant moderating influence in agricultural management and shaping the microbial community.
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Affiliation(s)
- Jing Zhou
- School of Life Sciences, Qufu Normal University, Jining, PR China
| | - Yong Kong
- School of Life Sciences, Qufu Normal University, Jining, PR China
| | - Wangfeng Zhao
- College of Biological and Environmental Engineering, Binzhou University, Binzhou, PR China
| | - Guangshan Wei
- South China Sea Resource Exploitation and Protection Collaborative Innovation Center (SCS-REPIC) / School of Marine Sciences, Sun Yat-Sen University, Guangzhou, China
- Key Laboratory of Marine Genetic Resources, Ministry of Natural Resources of the PR China, Third Institute of Oceanography, Xiamen, China
| | - Qingfeng Wang
- Eco-environmental Protection Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, PR China
| | - Longchuan Ma
- Shandong Engineering and Technology Research Center for Garlic, Jining, PR China
| | - Taotao Wang
- Shandong Engineering and Technology Research Center for Garlic, Jining, PR China
| | - Fengyue Shu
- School of Life Sciences, Qufu Normal University, Jining, PR China
| | - Weilai Sha
- School of Life Sciences, Qufu Normal University, Jining, PR China
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