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Ren L, Xuan L, Li A, Yang Y, Zhang W, Zhang J, Zhang Y, An Z. Gamma-aminobutyric acid supplementation improves olanzapine-induced insulin resistance by inhibiting macrophage infiltration in mice subcutaneous adipose tissue. Diabetes Obes Metab 2024; 26:2695-2705. [PMID: 38660748 DOI: 10.1111/dom.15585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 03/08/2024] [Accepted: 03/19/2024] [Indexed: 04/26/2024]
Abstract
AIMS To investigate whether gamma-aminobutyric acid (GABA) supplementation improves insulin resistance during olanzapine treatment in mice and to explore the underlying mechanisms. MATERIALS AND METHODS Insulin resistance and body weight gain were induced in mice by 10 weeks of olanzapine treatment. Simultaneously, the mice were administered GABA after 4 weeks of olanzapine administration. RESULTS We found that mice treated with olanzapine had lower GABA levels in serum and subcutaneous white adipose tissue (sWAT). GABA supplementation restored GABA levels and improved olanzapine-induced lipid metabolism disorders and insulin resistance. Chronic inflammation in adipose tissue is one of the main contributors to insulin resistance. We found that GABA supplementation inhibited olanzapine-induced adipose tissue macrophage infiltration and M1-like polarization, especially in sWAT. In vitro studies showed that stromal vascular cells, rather than adipocytes, were sensitive to GABA. Furthermore, the results suggested that GABA improves olanzapine-induced insulin resistance at least in part through a GABAB receptor-dependent pathway. CONCLUSIONS These findings suggest that targeting GABA may be a potential therapeutic approach for olanzapine-induced metabolic disorders.
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Affiliation(s)
- Lulu Ren
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Lingling Xuan
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Anning Li
- Beijing Anding Hospital, Capital Medical University, Beijing, China
- National Medical Center for Mental Disorders, Beijing, China
| | - Yaqi Yang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Wen Zhang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Jie Zhang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yi Zhang
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Zhuoling An
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
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Carswell G, Chamberlin J, Bennett BD, Bushel PR, Chorley BN. Persistent gene expression and DNA methylation alterations linked to carcinogenic effects of dichloroacetic acid. Front Oncol 2024; 14:1389634. [PMID: 38764585 PMCID: PMC11099211 DOI: 10.3389/fonc.2024.1389634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 04/18/2024] [Indexed: 05/21/2024] Open
Abstract
Background Mechanistic understanding of transient exposures that lead to adverse health outcomes will enhance our ability to recognize biological signatures of disease. Here, we measured the transcriptomic and epigenomic alterations due to exposure to the metabolic reprogramming agent, dichloroacetic acid (DCA). Previously, we showed that exposure to DCA increased liver tumor incidence in B6C3F1 mice after continuous or early life exposures significantly over background level. Methods Using archived formalin-fixed liver samples, we utilized modern methodologies to measure gene expression and DNA methylation levels to link to previously generated phenotypic measures. Gene expression was measured by targeted RNA sequencing (TempO-seq 1500+ toxicity panel: 2754 total genes) in liver samples collected from 10-, 32-, 57-, and 78-week old mice exposed to deionized water (controls), 3.5 g/L DCA continuously in drinking water ("Direct" group), or DCA for 10-, 32-, or 57-weeks followed by deionized water until sample collection ("Stop" groups). Genome-scaled alterations in DNA methylation were measured by Reduced Representation Bisulfite Sequencing (RRBS) in 78-week liver samples for control, Direct, 10-week Stop DCA exposed mice. Results Transcriptomic changes were most robust with concurrent or adjacent timepoints after exposure was withdrawn. We observed a similar pattern with DNA methylation alterations where we noted attenuated differentially methylated regions (DMRs) in the 10-week Stop DCA exposure groups compared to the Direct group at 78-weeks. Gene pathway analysis indicated cellular effects linked to increased oxidative metabolism, a primary mechanism of action for DCA, closer to exposure windows especially early in life. Conversely, many gene signatures and pathways reversed patterns later in life and reflected more pro-tumorigenic patterns for both current and prior DCA exposures. DNA methylation patterns correlated to early gene pathway perturbations, such as cellular signaling, regulation and metabolism, suggesting persistence in the epigenome and possible regulatory effects. Conclusion Liver metabolic reprogramming effects of DCA interacted with normal age mechanisms, increasing tumor burden with both continuous and prior DCA exposure in the male B6C3F1 rodent model.
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Affiliation(s)
- Gleta Carswell
- Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, Research Triangle Park, NC, United States
| | - John Chamberlin
- Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, Research Triangle Park, NC, United States
- Oak Ridge Institute for Science and Education, U.S. Environmental Protection Agency, Research Triangle Park, NC, United States
| | - Brian D. Bennett
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, United States
| | - Pierre R. Bushel
- Massive Genome Informatics Group, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, United States
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, United States
| | - Brian N. Chorley
- Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, Research Triangle Park, NC, United States
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Pontifex T, Yang X, Tracy A, Burns K, Craig Z, Zhou C. Prenatal Exposure to Environmentally Relevant Low Dosage Dibutyl Phthalate Reduces Placental Efficiency in CD-1 Mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.26.582170. [PMID: 38464211 PMCID: PMC10925143 DOI: 10.1101/2024.02.26.582170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Introduction Dibutyl phthalate (DBP), a phthalate congener, is widely utilized in consumer products and medication coatings. Women of reproductive age have a significant burden of DBP exposure through consumer products, occupational exposure, and medication. Prenatal DBP exposure is associated with adverse pregnancy/fetal outcomes and cardiovascular diseases in the offspring. However, the role of fetal sex and the general mechanisms underlying DBP exposure-associated adverse pregnancy outcomes are unclear. We hypothesize that prenatal DBP exposure at an environmentally relevant low dosage adversely affects fetal-placental development and function during pregnancy in a fetal sex-specific manner. Methods Adult female CD-1 mice (8-10wks) were orally treated with vehicle (control) or with environmentally relevant low DBP dosages at 0.1 μg/kg/day (refer as DBP0.1) daily from 30 days before pregnancy through gestational day (GD) 18.5. Dam body mass composition was measured non-invasively using the echo-magnetic resonance imaging system. Lipid disposition in fetal labyrinth and maternal decidual area of placentas was examined using Oil Red O staining. Results DBP0.1 exposure did not significantly affect the body weight and adiposity of non-pregnant adult female mice nor the maternal weight gain pattern and adiposity during pregnancy in adult female mice. DBP0.1 exposure does not affect fetal weight but significantly increased the placental weight at GD18.5 (indicative of decreased placental efficiency) in a fetal sex-specific manner. We further observed that DBP0.1 significantly decreased lipid disposition in fetal labyrinth of female, but not male placentas, while it did not affect lipid disposition in maternal decidual. Conclusions Prenatal exposure to environmentally relevant low-dosage DBP adversely impacts the fetal-placental efficiency and lipid disposition in a fetal sex-specific manner.
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Affiliation(s)
- Tasha Pontifex
- School of Animal and Comparative Biomedical Sciences, The University of Arizona, Tucson, AZ, United States
| | - Xinran Yang
- School of Animal and Comparative Biomedical Sciences, The University of Arizona, Tucson, AZ, United States
| | - Ayna Tracy
- School of Animal and Comparative Biomedical Sciences, The University of Arizona, Tucson, AZ, United States
| | - Kimberlie Burns
- School of Animal and Comparative Biomedical Sciences, The University of Arizona, Tucson, AZ, United States
| | - Zelieann Craig
- School of Animal and Comparative Biomedical Sciences, The University of Arizona, Tucson, AZ, United States
| | - Chi Zhou
- School of Animal and Comparative Biomedical Sciences, The University of Arizona, Tucson, AZ, United States
- Department of Obstetrics and Gynecology, The University of Arizona, Tucson, AZ, United States
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Song WJ, Cheon DH, Song H, Jung D, Chan Park H, Yeong Hwang J, Choi HJ, NamKoong C. Activation of ChAT+ neuron in dorsal motor vagus (DMV) increases blood glucose through the regulation of hepatic gene expression in mice. Brain Res 2024; 1829:148770. [PMID: 38266888 DOI: 10.1016/j.brainres.2024.148770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/10/2024] [Accepted: 01/13/2024] [Indexed: 01/26/2024]
Abstract
The brain and peripheral organs communicate through hormones and neural connections. Proper communication is required to maintain normal whole-body energy homeostasis. In addition to endocrine system, from the perspective of neural connections for metabolic homeostasis, the role of the sympathetic nervous system has been extensively studied, but understanding of the parasympathetic nervous system is limited. The liver plays a central role in glucose and lipid metabolism. This study aimed to clarify the innervation of parasympathetic nervous system in the liver and its functional roles in metabolic homeostasis. The liver-specific parasympathetic nervous system innervation (PNS) was shown by tissue clearing, immunofluorescence and transgenic mice at the three-dimensional histological level. The parasympathetic efferent signals were manipulated using a chemogenetic technique and the activation of ChAT+ parasympathetic neurons in dorsal motor vagus (DMV) results in the increased blood glucose through the elevated hepatic gluconeogenic and lipogenic gene expression in the liver. Thus, our study showed the evidence of ChAT+ parasympathetic neurons in the liver and its role for hepatic parasympathetic nervous signaling in glucose homeostasis through the regulation of hepatic gene expression.
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Affiliation(s)
- Woo-Jin Song
- Functional Neuroanatomy of Metabolism Regulation Laboratory, Department of Anatomy, Division of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Deok-Hyeon Cheon
- Functional Neuroanatomy of Metabolism Regulation Laboratory, Department of Anatomy, Division of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - HeeIn Song
- Functional Neuroanatomy of Metabolism Regulation Laboratory, Department of Anatomy, Division of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Daeun Jung
- Functional Neuroanatomy of Metabolism Regulation Laboratory, Department of Anatomy, Division of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hae Chan Park
- Functional Neuroanatomy of Metabolism Regulation Laboratory, Department of Anatomy, Division of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ju Yeong Hwang
- Functional Neuroanatomy of Metabolism Regulation Laboratory, Department of Anatomy, Division of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyung-Jin Choi
- Functional Neuroanatomy of Metabolism Regulation Laboratory, Department of Anatomy, Division of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea; BK21Plus Biomedical Science Project Team, Seoul National University College of Medicine, Seoul, Republic of Korea; Wide River Institute of Immunology, Seoul National University College of Medicine, Hongchoen, Republic of Korea; Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Cherl NamKoong
- Functional Neuroanatomy of Metabolism Regulation Laboratory, Department of Anatomy, Division of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea; Core Research Laboratory, Medical Science Institute, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea.
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Eeda V, Patil NY, Joshi AD, Awasthi V. Advancements in metabolic-associated steatotic liver disease research: Diagnostics, small molecule developments, and future directions. Hepatol Res 2024; 54:222-234. [PMID: 38149861 PMCID: PMC10923026 DOI: 10.1111/hepr.14008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 12/28/2023]
Abstract
Metabolic (dysfunction)-associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease, is a growing global health concern with no approved pharmacological treatments. At the same time, there are no standard methods to definitively screen for the presence of MASLD because of its progressive nature and symptomatic commonality with other disorders. Recent advances in molecular understanding of MASLD pathophysiology have intensified research on development of new drug molecules, repurposing of existing drugs approved for other indications, and an educated use of dietary supplements for its treatment and prophylaxis. This review focused on depicting the latest advancements in MASLD research related to small molecule development for prophylaxis or treatment and diagnosis, with emphasis on mechanistic basis at the molecular level.
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Affiliation(s)
- Venkateswararao Eeda
- Department of Pharmaceutical Sciences, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, USA
| | - Nikhil Yuvaraj Patil
- Department of Pharmaceutical Sciences, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, USA
| | - Aditya Dilip Joshi
- Department of Pharmaceutical Sciences, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, USA
| | - Vibhudutta Awasthi
- Department of Pharmaceutical Sciences, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, USA
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Li HJ, Wang YS, Wang YN, Liu AR, Su XH, Ma ZA, Wang LX, Zhang ZY, Lv SQ, Miao J, Cui HT. Mechanical study of alisol B 23-acetate on methionine and choline deficient diet-induced nonalcoholic steatohepatitis based on untargeted metabolomics. Biomed Chromatogr 2024; 38:e5763. [PMID: 37858975 DOI: 10.1002/bmc.5763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 09/21/2023] [Accepted: 10/03/2023] [Indexed: 10/21/2023]
Abstract
Alisol B 23-acetate (AB23A) has been demonstrated to have beneficial effects on nonalcoholic steatohepatitis (NASH). However, the mechanisms of AB23A on NASH remain unclear. This study aimed to investigate the mechanisms underlying the metabolic regulatory effects of AB23A on NASH. We used AB23A to treat mice with NASH, which was induced by a methionine and choline deficient (MCD) diet. We initially investigated therapeutic effect and resistance to oxidation and inflammation of AB23A on NASH. Subsequently, we performed untargeted metabolomic analyses and relative validation assessments to evaluate the metabolic regulatory effects of AB23A. AB23A reduced lipid accumulation, ameliorated oxidative stress and decreased pro-inflammatory cytokines in the liver. Untargeted metabolomic analysis found that AB23A altered the metabolites of liver. A total of 55 differential metabolites and three common changed pathways were screened among the control, model and AB23A treatment groups. Further tests validated the effects of AB23A on modulating common changed pathway-involved factors. AB23A treatment can ameliorate NASH by inhibiting oxidative stress and inflammation. The mechanism of AB23A on NASH may be related to the regulation of alanine, aspartate and glutamate metabolism, d-glutamine and d-glutamate metabolism, and arginine biosynthesis pathways.
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Affiliation(s)
- Hua-Jun Li
- Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei Province Affiliated to Hebei University of Chinese Medicine, Cangzhou, China
| | - Yuan-Song Wang
- Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei Province Affiliated to Hebei University of Chinese Medicine, Cangzhou, China
| | - Ya-Nan Wang
- Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei Province Affiliated to Hebei University of Chinese Medicine, Cangzhou, China
| | - Ai-Ru Liu
- Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei Province Affiliated to Hebei University of Chinese Medicine, Cangzhou, China
| | - Xiu-Hai Su
- Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei Province Affiliated to Hebei University of Chinese Medicine, Cangzhou, China
| | - Zi-Ang Ma
- Graduate School of Hebei University of Chinese Medicine, Shijiazhuang, China
| | - Li-Xin Wang
- Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei Province Affiliated to Hebei University of Chinese Medicine, Cangzhou, China
| | - Zhong-Yong Zhang
- Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei Province Affiliated to Hebei University of Chinese Medicine, Cangzhou, China
| | - Shu-Quan Lv
- Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine of Hebei Province Affiliated to Hebei University of Chinese Medicine, Cangzhou, China
| | - Jing Miao
- Tianjin Second People's Hospital, Tianjin, China
| | - Huan-Tian Cui
- Yunnan University of Traditional Chinese Medicine, Kunming, China
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Woodie LN, Melink LC, Midha M, de Araújo AM, Geisler CE, Alberto AJ, Krusen BM, Zundell DM, de Lartigue G, Hayes MR, Lazar MA. Hepatic Vagal Afferents Convey Clock-Dependent Signals to Regulate Circadian Food Intake. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.30.568080. [PMID: 38077098 PMCID: PMC10705484 DOI: 10.1101/2023.11.30.568080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2024]
Abstract
Circadian desynchrony induced by shiftwork or jetlag is detrimental to metabolic health, but how synchronous/desynchronous signals are transmitted among tissues is unknown. Here we report that liver molecular clock dysfunction is signaled to the brain via the hepatic vagal afferent nerve (HVAN), leading to altered food intake patterns that are corrected by ablation of the HVAN. Hepatic branch vagotomy also prevents food intake disruptions induced by high-fat diet feeding and reduces body weight gain. Our findings reveal a previously unrecognized homeostatic feedback signal that relies on synchrony between the liver and the brain to control circadian food intake patterns. This identifies the hepatic vagus nerve as a therapeutic target for obesity in the setting of chrono-disruption. One Sentence Summary The hepatic vagal afferent nerve signals internal circadian desynchrony between the brain and liver to induce maladaptive food intake patterns.
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Wang F, Wan J, Liao Y, Liu S, Wei Y, Ouyang Z. Dendrobium species regulate energy homeostasis in neurodegenerative diseases: a review. FOOD SCIENCE AND HUMAN WELLNESS 2023. [DOI: 10.1016/j.fshw.2023.03.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
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Ceol CJ. Microenvironmental GABA Signaling Regulates Melanomagenesis through Reciprocal Melanoma-Keratinocyte Communication. Cancer Discov 2023; 13:2128-2130. [PMID: 37794841 DOI: 10.1158/2159-8290.cd-23-0843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
SUMMARY GABA signaling by melanoma cells was found by Tagore and colleagues to trigger keratinocyte-driven growth of melanomas. This study reveals new roles for nonneuronal signaling by a neurotransmitter in regulating tumor initiation and outgrowth. See related article by Tagore et al., p. 2270 (4).
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Affiliation(s)
- Craig J Ceol
- Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts
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10
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Wang D, Deng Y, Zhao L, Wang K, Wu D, Hu Z, Liu X. GABA and fermented litchi juice enriched with GABA promote the beneficial effects in ameliorating obesity by regulating the gut microbiota in HFD-induced mice. Food Funct 2023; 14:8170-8185. [PMID: 37466048 DOI: 10.1039/d2fo04038g] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
Gamma-aminobutyric acid (GABA) dietary intervention is considered to have therapeutic potential against obesity. Microbial enrichment is an effective strategy to naturally and safely enhance GABA production in food. As litchi is "the king of GABA" in fruits, the retention or enrichment of its content during processing has been a key issue in the litchi industry. This study aimed to investigate the potential of GABA and fermented litchi juice enriched with GABA (FLJ) to protect against obesity in a high-fat diet (HFD) mouse model. Supplementation of GABA and FLJ displayed an anti-obesogenic effect by attenuating body weight gain, fat accumulation, and oxidative damage, and improving the serum lipid profile and hepatic function. Sequencing (16S rRNA) of fecal samples indicated that GABA and FLJ intervention displayed different regulatory effects on HFD-induced gut microbiota dysbiosis at different taxonomic levels. The microbial diversity, the relative abundance of Firmicutes and Bacteroidetes as well as the F/B ratio of GABA and FLJ groups were reversed compared to those of the HFD-induced mice. Our finding broadens the potential mechanisms by which GABA regulates gut flora in the amelioration of obesity and provides guidance for developing FLJ as a functional food to prevent obesity.
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Affiliation(s)
- Dongwei Wang
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
| | - Yani Deng
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
| | - Lei Zhao
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
| | - Kai Wang
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
| | - Dongmei Wu
- College of Biosystem Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
| | - Zhuoyan Hu
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
| | - Xuwei Liu
- Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
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Sun Y, Mehmood A, Giampieri F, Battino MA, Chen X. Insights into the cellular, molecular, and epigenetic targets of gamma-aminobutyric acid against diabetes: a comprehensive review on its mechanisms. Crit Rev Food Sci Nutr 2023:1-18. [PMID: 37694998 DOI: 10.1080/10408398.2023.2255666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Diabetes is a metabolic disease due to impaired or defective insulin secretion and is considered one of the most serious chronic diseases worldwide. Gamma-aminobutyric acid (GABA) is a naturally occurring non-protein amino acid commonly present in a wide range of foods. A number of studies documented that GABA has good anti-diabetic potential. This review summarized the available dietary sources of GABA as well as animal and human studies on the anti-diabetic properties of GABA, while also discussing the underlying mechanisms. GABA may modulate diabetes through various pathways such as inhibiting the activities of α-amylase and α-glucosidase, promoting β-cell proliferation, stimulating insulin secretion from β-cells, inhibiting glucagon secretion from α-cells, improving insulin resistance and glucose tolerance, and increasing antioxidant and anti-inflammatory activities. However, further mechanistic studies on animals and human are needed to confirm the therapeutic effects of GABA against diabetes.
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Affiliation(s)
- Yu Sun
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
- Institute of Food Physical Processing, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
| | - Arshad Mehmood
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
- Institute of Food Physical Processing, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
| | - Francesca Giampieri
- Research Group on Food, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, Santander, Spain
| | - Maurizio Antonio Battino
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
- Research Group on Food, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, Santander, Spain
- Department of Clinical Sciences, Università Politecnica delle Marche, Ancona, Italy
| | - Xiumin Chen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
- Institute of Food Physical Processing, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
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Tan J, Li X, Dou N. Insulin Resistance Triggers Atherosclerosis: Caveolin 1 Cooperates with PKCzeta to Block Insulin Signaling in Vascular Endothelial Cells. Cardiovasc Drugs Ther 2023:10.1007/s10557-023-07477-6. [PMID: 37289375 DOI: 10.1007/s10557-023-07477-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/26/2023] [Indexed: 06/09/2023]
Abstract
OBJECTIVE To date, therapies for endothelial dysfunction have primarily focused on ameliorating identified atherosclerosis (AS) risk factors rather than explicitly addressing endothelium-based mechanism. An in-depth exploration of the pathological mechanisms of endothelial injury was performed herein. METHODS Aortic caveolin 1 (Cav1) knockdown was achieved in mice using lentivirus, and AS was induced using a high-fat diet. Mouse body weight, blood glucose, insulin, lipid parameters, aortic plaque, endothelial injury, vascular nitric oxide synthase (eNOS), injury marker, and oxidative stress were examined. The effect of Cav1 knockdown on the content of PKCzeta and PI3K/Akt/eNOS pathway-related protein levels, as well as PKCzeta binding to Akt, was studied. ZIP, a PKCzeta inhibitor, was utilized to treat HUVECs in vitro, and the effect of ZIP on cell viability, inflammatory response, oxidative stress, and Akt activation was evaluated. RESULTS Cav1 knockdown had no significant effect on body weight or blood glucose in mice over an 8-week period, whereas drastically reduced insulin, lipid parameters, endothelial damage, E-selectin, and oxidative stress and elevated eNOS levels. Moreover, Cav1 knockdown triggered decreased PKCzeta enrichment and the activation of the PI3K/Akt/eNOS pathway. PKCzeta has a positive effect on cells without being coupled by Cav1, and ZIP had no marked influence on PKCzeta-Akt binding following Cav1/PKCzeta coupling. CONCLUSION Cav1/PKCzeta coupling antagonizes the activation of PI3K on Akt, leading to eNOS dysfunction, insulin resistance, and endothelial cell damage.
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Affiliation(s)
- Jingjing Tan
- Department of Anesthesiology and Perioperative Medicine, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, 200081, China
| | - Xiaoguang Li
- Department of Thyroid Breast and Vascular Surgery, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, 1279 Sanmen Road, Hongkou District, Shanghai, 200081, China
- Department of Vascular and Endovascular Surgery, Changzheng Hospital Affiliated to the Naval Medical University, Shanghai, 200003, China
| | - Ning Dou
- Department of Thyroid Breast and Vascular Surgery, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, 1279 Sanmen Road, Hongkou District, Shanghai, 200081, China.
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Rafiq T, Stearns JC, Shanmuganathan M, Azab SM, Anand SS, Thabane L, Beyene J, Williams NC, Morrison KM, Teo KK, Britz-McKibbin P, de Souza RJ. Integrative multiomics analysis of infant gut microbiome and serum metabolome reveals key molecular biomarkers of early onset childhood obesity. Heliyon 2023; 9:e16651. [PMID: 37332914 PMCID: PMC10272340 DOI: 10.1016/j.heliyon.2023.e16651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/17/2023] [Accepted: 05/23/2023] [Indexed: 06/20/2023] Open
Abstract
Evidence supports a complex interplay of gut microbiome and host metabolism as regulators of obesity. The metabolic phenotype and microbial metabolism of host diet may also contribute to greater obesity risk in children early in life. This study aimed to identify features that discriminated overweight/obese from normal weight infants by integrating gut microbiome and serum metabolome profiles. This prospective analysis included 50 South Asian children living in Canada, selected from the SouTh Asian biRth cohorT (START). Serum metabolites were measured by multisegment injection-capillary electrophoresis-mass spectrometry and the relative abundance of bacterial 16S rRNA gene amplicon sequence variant was evaluated at 1 year. Cumulative body mass index (BMIAUC) and skinfold thickness (SSFAUC) scores were calculated from birth to 3 years as the total area under the growth curve (AUC). BMIAUC and/or SSFAUC >85th percentile was used to define overweight/obesity. Data Integration Analysis for Biomarker discovery using Latent cOmponent (DIABLO) was used to identify discriminant features associated with childhood overweight/obesity. The associations between identified features and anthropometric measures were examined using logistic regression. Circulating metabolites including glutamic acid, acetylcarnitine, carnitine, and threonine were positively, whereas γ-aminobutyric acid (GABA), symmetric dimethylarginine (SDMA), and asymmetric dimethylarginine (ADMA) were negatively associated with childhood overweight/obesity. The abundance of the Pseudobutyrivibrio and Lactobacillus genera were positively, and Clostridium sensu stricto 1 and Akkermansia were negatively associated with childhood overweight/obesity. Integrative analysis revealed that Akkermansia was positively whereas Lactobacillus was inversely correlated with GABA and SDMA, and Pseudobutyrivibrio was inversely correlated with GABA. This study provides insights into metabolic and microbial signatures which may regulate satiety, energy metabolism, inflammatory processes, and/or gut barrier function, and therefore, obesity trajectories in childhood. Understanding the functional capacity of these molecular features and potentially modifiable risk factors such as dietary exposures early in life may offer a novel approach for preventing childhood obesity.
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Affiliation(s)
- Talha Rafiq
- Medical Sciences Graduate Program, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, ON L8L 2X2, Canada
| | - Jennifer C. Stearns
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Meera Shanmuganathan
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada
| | - Sandi M. Azab
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Pharmacognosy, Alexandria University, Alexandria 21521, Egypt
| | - Sonia S. Anand
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, ON L8L 2X2, Canada
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
- Biostatistics Unit, Father Sean O’Sullivan Research Centre, The Research Institute, St Joseph’s Healthcare Hamilton, Hamilton, ON L8N 4A6, Canada
- Faculty of Health Sciences, University of Johannesburg, Johannesburg 524, South Africa
| | - Joseph Beyene
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
| | | | - Katherine M. Morrison
- Department of Pediatrics, McMaster University, Hamilton, ON L8S 4L8, Canada
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Koon K. Teo
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, ON L8L 2X2, Canada
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Philip Britz-McKibbin
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada
| | - Russell J. de Souza
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, ON L8L 2X2, Canada
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
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14
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Kosmalski M, Śliwińska A, Drzewoski J. Non-Alcoholic Fatty Liver Disease or Type 2 Diabetes Mellitus—The Chicken or the Egg Dilemma. Biomedicines 2023; 11:biomedicines11041097. [PMID: 37189715 DOI: 10.3390/biomedicines11041097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/28/2023] [Accepted: 03/28/2023] [Indexed: 04/08/2023] Open
Abstract
In clinical practice, we often deal with patients who suffer from non-alcoholic fatty liver disease (NAFLD) concurrent with type 2 diabetes mellitus (T2DM). The etiopathogenesis of NAFLD is mainly connected with insulin resistance (IR) and obesity. Similarly, the latter patients are in the process of developing T2DM. However, the mechanisms of NAFLD and T2DM coexistence have not been fully elucidated. Considering that both diseases and their complications are of epidemic proportions and significantly affect the length and quality of life, we aimed to answer which of these diseases appears first and thereby highlight the need for their diagnosis and treatment. To address this question, we present and discuss the epidemiological data, diagnoses, complications and pathomechanisms of these two coexisting metabolic diseases. This question is difficult to answer due to the lack of a uniform procedure for NAFLD diagnosis and the asymptomatic nature of both diseases, especially at their beginning stages. To conclude, most researchers suggest that NAFLD appears as the first disease and starts the sequence of circumstances leading ultimately to the development of T2DM. However, there are also data suggesting that T2DM develops before NAFLD. Despite the fact that we cannot definitively answer this question, it is very important to bring the attention of clinicians and researchers to the coexistence of NAFLD and T2DM in order to prevent their consequences.
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Affiliation(s)
- Marcin Kosmalski
- Department of Clinical Pharmacology, Medical University of Lodz, 90-153 Lodz, Poland
| | - Agnieszka Śliwińska
- Department of Nucleic Acids Biochemistry, Medical University of Lodz, 92-213 Lodz, Poland
| | - Józef Drzewoski
- Central Teaching Hospital of Medical University of Lodz, 92-213 Lodz, Poland
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15
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Hadjihambi A, Pellerin L. Reply to: "Is NAFLD a key driver of brain dysfunction?". J Hepatol 2023; 78:e130-e131. [PMID: 36596384 DOI: 10.1016/j.jhep.2022.12.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 12/18/2022] [Indexed: 01/01/2023]
Affiliation(s)
- Anna Hadjihambi
- The Roger Williams Institute of Hepatology London, Foundation for Liver Research, London, UK; Faculty of Life Sciences and Medicine, King's College London, UK.
| | - Luc Pellerin
- Inserm U1313, Université de Poitiers et CHU de Poitiers, Poitiers, France.
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16
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Kim K, Yoon H. Gamma-Aminobutyric Acid Signaling in Damage Response, Metabolism, and Disease. Int J Mol Sci 2023; 24:ijms24054584. [PMID: 36902014 PMCID: PMC10003236 DOI: 10.3390/ijms24054584] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 02/23/2023] [Accepted: 02/24/2023] [Indexed: 03/03/2023] Open
Abstract
Gamma-aminobutyric acid (GABA) plays a crucial role in signal transduction and can function as a neurotransmitter. Although many studies have been conducted on GABA in brain biology, the cellular function and physiological relevance of GABA in other metabolic organs remain unclear. Here, we will discuss recent advances in understanding GABA metabolism with a focus on its biosynthesis and cellular functions in other organs. The mechanisms of GABA in liver biology and disease have revealed new ways to link the biosynthesis of GABA to its cellular function. By reviewing what is known about the distinct effects of GABA and GABA-mediated metabolites in physiological pathways, we provide a framework for understanding newly identified targets regulating the damage response, with implications for ameliorating metabolic diseases. With this review, we suggest that further research is necessary to develop GABA's beneficial and toxic effects on metabolic disease progression.
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17
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Zhang Y, Zhu M, Lu W, Zhang C, Chen D, Shah NP, Xiao C. Optimizing Levilactobacillus brevis NPS-QW 145 Fermentation for Gamma-Aminobutyric Acid (GABA) Production in Soybean Sprout Yogurt-like Product. Foods 2023; 12:foods12050977. [PMID: 36900494 PMCID: PMC10000865 DOI: 10.3390/foods12050977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 03/02/2023] Open
Abstract
Gamma-aminobutyric acid (GABA) is a non-protein amino acid with various physiological functions. Levilactobacillus brevis NPS-QW 145 strains active in GABA catabolism and anabolism can be used as a microbial platform for GABA production. Soybean sprouts can be treated as a fermentation substrate for making functional products. This study demonstrated the benefits of using soybean sprouts as a medium to produce GABA by Levilactobacillus brevis NPS-QW 145 when monosodium glutamate (MSG) is the substrate. Based on this method, a GABA yield of up to 2.302 g L-1 was obtained with a soybean germination time of one day and fermentation of 48 h with bacteria using 10 g L-1 glucose according to the response surface methodology. Research revealed a powerful technique for producing GABA by fermentation with Levilactobacillus brevis NPS-QW 145 in foods and is expected to be widely used as a nutritional supplement for consumers.
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Affiliation(s)
- Yue Zhang
- Institute of Food Science, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, 298 Desheng Road, Hangzhou 310021, China
- School of Biological Science, The University of Hong Kong, Pokfulam Road, Hong Kong
| | - Mengjiao Zhu
- School of Biological Science, The University of Hong Kong, Pokfulam Road, Hong Kong
| | - Wenjing Lu
- Institute of Food Science, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, 298 Desheng Road, Hangzhou 310021, China
| | - Cen Zhang
- Institute of Food Science, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, 298 Desheng Road, Hangzhou 310021, China
| | - Di Chen
- Institute of Food Science, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, 298 Desheng Road, Hangzhou 310021, China
| | - Nagendra P. Shah
- School of Biological Science, The University of Hong Kong, Pokfulam Road, Hong Kong
- Correspondence: (N.P.S.); (C.X.)
| | - Chaogeng Xiao
- Institute of Food Science, State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, 298 Desheng Road, Hangzhou 310021, China
- Correspondence: (N.P.S.); (C.X.)
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18
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Jiang X, Liu K, Jiang H, Yin H, Wang ED, Cheng H, Yuan F, Xiao F, Wang F, Lu W, Peng B, Shu Y, Li X, Chen S, Guo F. SLC7A14 imports GABA to lysosomes and impairs hepatic insulin sensitivity via inhibiting mTORC2. Cell Rep 2023; 42:111984. [PMID: 36640347 DOI: 10.1016/j.celrep.2022.111984] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 10/11/2022] [Accepted: 12/22/2022] [Indexed: 01/12/2023] Open
Abstract
Lysosomal amino acid accumulation is implicated in several diseases, but its role in insulin resistance, the central mechanism to type 2 diabetes and many metabolic diseases, is unclear. In this study, we show the hepatic expression of lysosomal membrane protein solute carrier family 7 member 14 (SLC7A14) is increased in insulin-resistant mice. The promoting effect of SLC7A14 on insulin resistance is demonstrated by loss- and gain-of-function experiments. SLC7A14 is further demonstrated as a transporter resulting in the accumulation of lysosomal γ-aminobutyric acid (GABA), which induces insulin resistance via inhibiting mTOR complex 2 (mTORC2)'s activity. These results establish a causal link between lysosomal amino acids and insulin resistance and suggest that SLC7A14 inhibition may provide a therapeutic strategy in treating insulin resistance-related and GABA-related diseases and may provide insights into the upstream mechanisms for mTORC2, the master regulator in many important processes.
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Affiliation(s)
- Xiaoxue Jiang
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Kan Liu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Haizhou Jiang
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Hanrui Yin
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - En-Duo Wang
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Hong Cheng
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Feixiang Yuan
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Fei Xiao
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Fenfen Wang
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Wei Lu
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Bo Peng
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Yousheng Shu
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Xiaoying Li
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Shanghai Chen
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Feifan Guo
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China; CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
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19
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van Walree ES, Jansen IE, Bell NY, Savage JE, de Leeuw C, Nieuwdorp M, van der Sluis S, Posthuma D. Disentangling Genetic Risks for Metabolic Syndrome. Diabetes 2022; 71:2447-2457. [PMID: 35983957 DOI: 10.2337/db22-0478] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022]
Abstract
A quarter of the world's population is estimated to meet the criteria for metabolic syndrome (MetS), a cluster of cardiometabolic risk factors that promote development of coronary artery disease and type 2 diabetes, leading to increased risk of premature death and significant health costs. In this study we investigate whether the genetics associated with MetS components mirror their phenotypic clustering. A multivariate approach that leverages genetic correlations of fasting glucose, HDL cholesterol, systolic blood pressure, triglycerides, and waist circumference was used, which revealed that these genetic correlations are best captured by a genetic one factor model. The common genetic factor genome-wide association study (GWAS) detects 235 associated loci, 174 more than the largest GWAS on MetS to date. Of these loci, 53 (22.5%) overlap with loci identified for two or more MetS components, indicating that MetS is a complex, heterogeneous disorder. Associated loci harbor genes that show increased expression in the brain, especially in GABAergic and dopaminergic neurons. A polygenic risk score drafted from the MetS factor GWAS predicts 5.9% of the variance in MetS. These results provide mechanistic insights into the genetics of MetS and suggestions for drug targets, especially fenofibrate, which has the promise of tackling multiple MetS components.
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Affiliation(s)
- Eva S van Walree
- Department of Clinical Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Amsterdam, the Netherlands
| | - Iris E Jansen
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Amsterdam, the Netherlands
| | - Nathaniel Y Bell
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Amsterdam, the Netherlands
| | - Jeanne E Savage
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Amsterdam, the Netherlands
| | - Christiaan de Leeuw
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Amsterdam, the Netherlands
| | - Max Nieuwdorp
- Department of Internal and Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Sophie van der Sluis
- Department of Child and Adolescent Psychology and Psychiatry, section Complex Trait Genetics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Amsterdam, the Netherlands
- Department of Child and Adolescent Psychology and Psychiatry, section Complex Trait Genetics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
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20
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Shi C, Han X, Guo W, Wu Q, Yang X, Wang Y, Tang G, Wang S, Wang Z, Liu Y, Li M, Lv M, Guo Y, Li Z, Li J, Shi J, Qu G, Jiang G. Disturbed Gut-Liver axis indicating oral exposure to polystyrene microplastic potentially increases the risk of insulin resistance. ENVIRONMENT INTERNATIONAL 2022; 164:107273. [PMID: 35526298 DOI: 10.1016/j.envint.2022.107273] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/09/2022] [Accepted: 04/27/2022] [Indexed: 06/14/2023]
Abstract
Human uptake abundance of microplastics via various pathways, and they accumulate in human liver, kidney, gut and even placenta (especially with a diameter of 1 μm or less). Recent scientific studies have found that exposure to microplastics causes intestinal inflammation and liver metabolic disorder, but it remains largely unknown that whether the damage and inflammation may cause further development of severe diseases. In this study, we discovered one of such potential diseases that may be induced by the exposure to small-sized microplastics (with a diameter of 1 μm) performing a multi-organ and multi-omics study comprising metabolomics and microbiome approaches. Unlike other animal experiments, the dosing strategy was applied in mice according to the daily exposure of the highly exposed population, which was more environmentally relevant and reflective of real-world human exposure. Our studies on the gut-liver axis metabolism have shown that the crosstalk between the gut and liver ultimately leaded to insulin resistance and even diabetes. We proactively verified this hypothesis by measuring the levels of fasting blood glucose and fasting insulin, which were found significantly elevated in the mice with microplastics exposure. These results indicate the urgent need of large-scale cohort evaluation on epidemiology and prognosis of insulin resistance after microplastics exposure in future.
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Affiliation(s)
- Chunzhen Shi
- College of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing 100048, China
| | - Xiaohong Han
- College of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing 100048, China
| | - Wei Guo
- College of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing 100048, China
| | - Qi Wu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China
| | - Xiaoxi Yang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Yuanyuan Wang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Gang Tang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Shunhao Wang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Ziniu Wang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Yaquan Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Min Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China; Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Meilin Lv
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China; Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Yunhe Guo
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Environmental and Resource Science, Zhejiang University, Hangzhou 310058, China
| | - Zikang Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Junya Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China; Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Jianbo Shi
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China; Institute of Environment and Health, Jianghan University, Wuhan 430056, China
| | - Guangbo Qu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China; Institute of Environment and Health, Jianghan University, Wuhan 430056, China.
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environment Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China; Institute of Environment and Health, Jianghan University, Wuhan 430056, China
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21
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An obesogenic feedforward loop involving PPARγ, acyl-CoA binding protein and GABA A receptor. Cell Death Dis 2022; 13:356. [PMID: 35436993 PMCID: PMC9016078 DOI: 10.1038/s41419-022-04834-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 03/24/2022] [Accepted: 04/04/2022] [Indexed: 12/16/2022]
Abstract
Acyl-coenzyme-A-binding protein (ACBP), also known as a diazepam-binding inhibitor (DBI), is a potent stimulator of appetite and lipogenesis. Bioinformatic analyses combined with systematic screens revealed that peroxisome proliferator-activated receptor gamma (PPARγ) is the transcription factor that best explains the ACBP/DBI upregulation in metabolically active organs including the liver and adipose tissue. The PPARγ agonist rosiglitazone-induced ACBP/DBI upregulation, as well as weight gain, that could be prevented by knockout of Acbp/Dbi in mice. Moreover, liver-specific knockdown of Pparg prevented the high-fat diet (HFD)-induced upregulation of circulating ACBP/DBI levels and reduced body weight gain. Conversely, knockout of Acbp/Dbi prevented the HFD-induced upregulation of PPARγ. Notably, a single amino acid substitution (F77I) in the γ2 subunit of gamma-aminobutyric acid A receptor (GABAAR), which abolishes ACBP/DBI binding to this receptor, prevented the HFD-induced weight gain, as well as the HFD-induced upregulation of ACBP/DBI, GABAAR γ2, and PPARγ. Based on these results, we postulate the existence of an obesogenic feedforward loop relying on ACBP/DBI, GABAAR, and PPARγ. Interruption of this vicious cycle, at any level, indistinguishably mitigates HFD-induced weight gain, hepatosteatosis, and hyperglycemia.
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22
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Maude H, Lau W, Maniatis N, Andrew T. New Insights Into Mitochondrial Dysfunction at Disease Susceptibility Loci in the Development of Type 2 Diabetes. Front Endocrinol (Lausanne) 2021; 12:694893. [PMID: 34456865 PMCID: PMC8385132 DOI: 10.3389/fendo.2021.694893] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 07/08/2021] [Indexed: 12/25/2022] Open
Abstract
This study investigated the potential genetic mechanisms which underlie adipose tissue mitochondrial dysfunction in Type 2 diabetes (T2D), by systematically identifying nuclear-encoded mitochondrial genes (NEMGs) among the genes regulated by T2D-associated genetic loci. The target genes of these 'disease loci' were identified by mapping genetic loci associated with both disease and gene expression levels (expression quantitative trait loci, eQTL) using high resolution genetic maps, with independent estimates co-locating to within a small genetic distance. These co-locating signals were defined as T2D-eQTL and the target genes as T2D cis-genes. In total, 763 cis-genes were associated with T2D-eQTL, of which 50 were NEMGs. Independent gene expression datasets for T2D and insulin resistant cases and controls confirmed that the cis-genes and cis-NEMGs were enriched for differential expression in cases, providing independent validation that genetic maps can identify informative functional genes. Two additional results were consistent with a potential role of T2D-eQTL in regulating the 50 identified cis-NEMGs in the context of T2D risk: (1) the 50 cis-NEMGs showed greater differential expression compared to other NEMGs and (2) other NEMGs showed a trend towards significantly decreased expression if their expression levels correlated more highly with the subset of 50 cis-NEMGs. These 50 cis-NEMGs, which are differentially expressed and associated with mapped T2D disease loci, encode proteins acting within key mitochondrial pathways, including some of current therapeutic interest such as the metabolism of branched-chain amino acids, GABA and biotin.
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Affiliation(s)
- Hannah Maude
- Department of Metabolism, Digestion & Reproduction, Imperial College, London, United Kingdom
| | - Winston Lau
- Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Nikolas Maniatis
- Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Toby Andrew
- Department of Metabolism, Digestion & Reproduction, Imperial College, London, United Kingdom
- *Correspondence: Toby Andrew,
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