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Conlon DM, Kanakala S, Cherlin T, Ko YA, Vitali C, Gurunathan S, Venkatesh R, Woerner J, Guare LA, Biobank PM, Verma A, Verma SS, Guerraty MA. Genotype-First Approach Identifies an Association between rs28374544/FOG2 S657G and Liver Disease through Alterations in mTORC1 Signaling. Genes (Basel) 2024; 15:1098. [PMID: 39202457 PMCID: PMC11353451 DOI: 10.3390/genes15081098] [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: 07/23/2024] [Revised: 08/12/2024] [Accepted: 08/16/2024] [Indexed: 09/03/2024] Open
Abstract
Metabolic dysfunction-associated Fatty Liver Disease (MAFLD) has emerged as one of the leading cardiometabolic diseases. Friend of GATA2 (FOG2) is a transcriptional co-regulator that has been shown to regulate hepatic lipid metabolism and accumulation. Using meta-analysis from several different biobank datasets, we identified a coding variant of FOG2 (rs28374544, A1969G, S657G) predominantly found in individuals of African ancestry (minor allele frequency~20%), which is associated with liver failure/cirrhosis phenotype and liver injury. To gain insight into potential pathways associated with this variant, we interrogated a previously published genomics dataset of 38 human induced pluripotent stem cell (iPSCs) lines differentiated into hepatocytes (iHeps). Using Differential Gene Expression Analysis and Gene Set Enrichment Analysis, we identified the mTORC1 pathway as differentially regulated between iHeps from individuals with and without the variant. Transient lipid-based transfections were performed on the human hepatoma cell line (Huh7) using wild-type FOG2 and FOG2S657G and demonstrated that FOG2S657G increased mTORC1 signaling, de novo lipogenesis, and cellular triglyceride synthesis and mass. In addition, we observed a significant downregulation of oxidative phosphorylation in FOG2S657G cells in fatty acid-loaded cells but not untreated cells, suggesting that FOG2S657G may also reduce fatty acid to promote lipid accumulation. Taken together, our multi-pronged approach suggests a model whereby the FOG2S657G may promote MAFLD through mTORC1 activation, increased de novo lipogenesis, and lipid accumulation. Our results provide insights into the molecular mechanisms by which FOG2S657G may affect the complex molecular landscape underlying MAFLD.
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Affiliation(s)
- Donna M. Conlon
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA; (D.M.C.); (A.V.)
| | - Siri Kanakala
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA; (D.M.C.); (A.V.)
| | - Tess Cherlin
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA (S.S.V.)
| | - Yi-An Ko
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA (R.V.)
| | - Cecilia Vitali
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA; (D.M.C.); (A.V.)
| | - Sharavana Gurunathan
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA; (D.M.C.); (A.V.)
| | - Rasika Venkatesh
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA (R.V.)
| | - Jakob Woerner
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA;
| | - Lindsay A. Guare
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA (S.S.V.)
| | - Penn Medicine Biobank
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Anurag Verma
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA; (D.M.C.); (A.V.)
| | - Shefali S. Verma
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA (S.S.V.)
| | - Marie A. Guerraty
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, 3400 Civic Center Blvd., Philadelphia, PA 19104, USA; (D.M.C.); (A.V.)
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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: 6] [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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Sui X, Wang H, Wu F, Yang C, Zhang H, Xu Z, Guo Y, Guo Z, Xin B, Ma T, Li Y, Dai Z. Hepatic metabolite responses to 4-day complete fasting and subsequent refeeding in rats. PeerJ 2022; 10:e14009. [PMID: 36157064 PMCID: PMC9504452 DOI: 10.7717/peerj.14009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 08/15/2022] [Indexed: 01/19/2023] Open
Abstract
Background Fasting has been widely used to improve various metabolic diseases in humans. Adaptive fasting is necessary for metabolic adaptation during prolonged fasting, which could overcome the great advantages of short-term fasting. The liver is the main organ responsible for energy metabolism and metabolic homeostasis. To date, we lack literature that describes the physiologically relevant adaptations of the liver during prolonged fasting and refeeding. For that reason, this study aims to evaluate the response of the liver of Sprague-Dawley (SD) rats to prolonged fasting and refeeding. Methods Sixty-six male SD rats were divided into the fasting groups, which were fasted for 0, 4, 8, 12, 24, 48, 72, or 96 h, and the refeeding groups, which were refed for 1, 3, or 6 days after 96 h of fasting. Serum glucose, TG, FFA, β-hydroxybutyrate, insulin, glucagon, leptin, adiponectin and FGF21 levels were assessed. The glucose content, PEPCK activity, TG concentration and FFA content were measured in liver tissue, and the expression of genes involved in gluconeogenesis (PEPCK and G6Pase), ketogenesis (PPARα, CPT-1a and HMGCS2) and the protein expression of nutrient-sensing signaling molecules (AMPK, mTOR and SIRT1) were determined by RT-qPCR and western blotting, respectively. Results Fasting significantly decreased the body weight, which was totally recovered to baseline after 3 days of refeeding. A 4-day fast triggered an energy metabolic substrate shift from glucose to ketones and caused serum hormone changes and changes in the protein expression levels of nutrient-sensing signaling molecules. Glycogenolysis served as the primary fuel source during the first 24 h of fasting, while gluconeogenesis supplied the most glucose thereafter. Serum FFA concentrations increased significantly with 48 h of fasting. Serum FFAs partly caused high serum β-hydroxybutyrate levels, which became an important energy source with the prolongation of the fasting duration. One day of refeeding quickly reversed the energy substrate switch. Nutrient-sensing signaling molecules (AMPK and SIRT1 but not mTOR signaling) were highly expressed at the beginning of fasting (in the first 4 h). Serum insulin and leptin decreased with fasting initiation, and serum glucagon increased, but adiponectin and FGF21 showed no significant changes. Herein, we depicted in detail the timing of the metabolic response and adaptation of the liver to a 4-day water-only fast and subsequent refeeding in rats, which provides helpful support for the design of safe prolonged and intermittent fasting regimens.
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Affiliation(s)
- Xiukun Sui
- Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China,State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China,Space Science and Technology Institute, Shenzhen, China
| | - Hailong Wang
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
| | - Feng Wu
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
| | - Chao Yang
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
| | - Hongyu Zhang
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
| | - Zihan Xu
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
| | - Yaxiu Guo
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
| | - ZhiFeng Guo
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
| | - Bingmu Xin
- Space Science and Technology Institute, Shenzhen, China
| | - Ting Ma
- Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China
| | - Yinghui Li
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
| | - Zhongquan Dai
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
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Liu S, Yuan X, Su H, Liu F, Zhuang Z, Chen Y. ZNF384: A Potential Therapeutic Target for Psoriasis and Alzheimer’s Disease Through Inflammation and Metabolism. Front Immunol 2022; 13:892368. [PMID: 35669784 PMCID: PMC9163351 DOI: 10.3389/fimmu.2022.892368] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 04/25/2022] [Indexed: 11/29/2022] Open
Abstract
Background Psoriasis is an immune-related skin disease notable for its chronic inflammation of the entire system. Alzheimer’s disease (AD) is more prevalent in psoriasis than in the general population. Immune-mediated pathophysiologic processes may link these two diseases, but the mechanism is still unclear. This article aimed to explore potential molecular mechanisms in psoriasis and AD. Methods Gene expression profiling data of psoriasis and AD were acquired in the Gene Expression Omnibus (GEO) database. Gene Set Enrichment Analysis (GSEA) and single-sample GSEA (ssGSEA) were first applied in two datasets. Differentially expressed genes (DEGs) of two diseases were identified, and common DEGs were selected. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed to explore common biological pathways. Signature transcription factors (STFs) were identified and their diagnostic values was calculated by receiver operating characteristic (ROC) curve analysis in the exploration cohort and verified in the validation cohort. The expression levels of STFs were further investigated in the validation cohort and the GTEx Portal Database. Additionally, four kinds of interaction analysis were performed: correlation analysis among STFs, gene-gene, chemical-protein, and protein-ligand interaction analyses. In the end, we predicted the transcription factor that potentially regulates STFs. Results Biosynthesis and metabolic pathways were enriched in GSEA analysis. In ssGSEA analysis, most immunoreaction gene lists exhibited differential enrichment in psoriasis cases, whereas three receptor-related gene lists did in AD. The KEGG analysis of common DEGs redetermined inflammatory and metabolic pathways essential in both diseases. 5 STFs (PPARG, ZFPM2, ZNF415, HLX, and ANHX) were screened from common DEGs. The ROC analysis indicated that all STFs have diagnostic values in two diseases, especially ZFPM2. The correlation analysis, gene-gene, chemical-protein, and protein-ligand interaction analyses suggested that STFs interplay and involve inflammation and aberrant metabolism. Eventually, ZNF384 was the predicted transcription factor regulating PPARG, ZNF415, HLX, and ANHX. Conclusions The STFs (PPARG, ZFPM2, ZNF415, HLX, and ANHX) may increase the morbidity rate of AD in psoriasis by initiating a positive feedback loop of excessive inflammation and metabolic disorders. ZNF384 is a potential therapeutic target for psoriasis and AD by regulating PPARG, ZNF415, HLX, and ANHX.
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Niu Y, Jiang H, Yin H, Wang F, Hu R, Hu X, Peng B, Shu Y, Li Z, Chen S, Guo F. Hepatokine ERAP1 Disturbs Skeletal Muscle Insulin Sensitivity Via Inhibiting USP33-Mediated ADRB2 Deubiquitination. Diabetes 2022; 71:921-933. [PMID: 35192681 DOI: 10.2337/db21-0857] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 02/15/2022] [Indexed: 11/13/2022]
Abstract
Chronic inflammation in liver induces insulin resistance systemically and in other tissues, including the skeletal muscle (SM); however, the underlying mechanisms remain largely unknown. RNA sequencing of primary hepatocytes from wild-type mice fed long-term high-fat diet (HFD), which have severe chronic inflammation and insulin resistance revealed that the expression of hepatokine endoplasmic reticulum aminopeptidase 1 (ERAP1) was upregulated by a HFD. Increased ERAP1 levels were also observed in interferon-γ-treated primary hepatocytes. Furthermore, hepatic ERAP1 overexpression attenuated systemic and SM insulin sensitivity, whereas hepatic ERAP1 knockdown had the opposite effects, with corresponding changes in serum ERAP1 levels. Mechanistically, ERAP1 functions as an antagonist-like factor, which interacts with β2 adrenergic receptor (ADRB2) and reduces its expression by decreasing ubiquitin-specific peptidase 33-mediated deubiquitination and thereby interrupts ADRB2-stimulated insulin signaling in the SM. The findings of this study indicate ERAP1 is an inflammation-induced hepatokine that impairs SM insulin sensitivity. Its inhibition may provide a therapeutic strategy for insulin resistance-related diseases, such as type 2 diabetes.
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Affiliation(s)
- Yuguo Niu
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, Ministry of Education Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Chinese Academy of Sciences (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, China
| | - Haizhou Jiang
- Chinese Academy of Sciences (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, China
| | - Hanrui Yin
- Chinese Academy of Sciences (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, China
| | - Fenfen Wang
- Chinese Academy of Sciences (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, China
| | - Ronggui Hu
- Key Laboratory of Molecular Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Xiaoming Hu
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, Ministry of Education Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Bo Peng
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, Ministry of Education Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Yousheng Shu
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, Ministry of Education Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Zhigang Li
- Chinese Academy of Sciences (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, China
| | - Shanghai Chen
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, Ministry of Education Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Feifan Guo
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, Ministry of Education Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Chinese Academy of Sciences (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, China
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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Gutiérrez-Repiso C, Linares-Pineda TM, Gonzalez-Jimenez A, Aguilar-Lineros F, Valdés S, Soriguer F, Rojo-Martínez G, Tinahones FJ, Morcillo S. Epigenetic Biomarkers of Transition from Metabolically Healthy Obesity to Metabolically Unhealthy Obesity Phenotype: A Prospective Study. Int J Mol Sci 2021; 22:ijms221910417. [PMID: 34638758 PMCID: PMC8508854 DOI: 10.3390/ijms221910417] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 09/23/2021] [Accepted: 09/23/2021] [Indexed: 01/13/2023] Open
Abstract
Background: Identifying those parameters that could potentially predict the deterioration of metabolically healthy phenotype is a matter of debate. In this field, epigenetics, in particular DNA methylation deserves special attention. Results: The aim of the present study was to analyze the long-term evolution of methylation patterns in a subset of metabolically healthy subjects in order to search for epigenetic markers that could predict the progression to an unhealthy state. Twenty-six CpG sites were significantly differentially methylated, both at baseline and 11-year follow-up. These sites were related to 19 genes or pseudogenes; a more in-depth analysis of the methylation sites of these genes showed that CYP2E1 had 50% of the collected CpG sites differently methylated between stable metabolically healthy obesity (MHO) and unstable MHO, followed by HLA-DRB1 (33%), ZBTB45 (16%), HOOK3 (14%), PLCZ1 (14%), SLC1A1 (12%), MUC2 (12%), ZFPM2 (12.5%) and HLA-DQB2 (8%). Pathway analysis of the selected 26 CpG sites showed enrichment in pathways linked to th1 and th2 activation, antigen presentation, allograft rejection signals and metabolic processes. Higher methylation levels in the cg20707527 (ZFPM2) could have a protective effect against the progression to unstable MHO (OR: 0.21, 95%CI (0.067–0.667), p < 0.0001), whilst higher methylation levels in cg11445109 (CYP2E1) would increase the progression to MUO; OR: 2.72, 95%CI (1.094–6.796), p < 0.0014; respectively). Conclusions: DNA methylation status is associated with the stability/worsening of MHO phenotype. Two potential biomarkers of the transition to an unhealthy state were identified and deserve further investigation (cg20707527 and cg11445109). Moreover, the described differences in methylation could alter immune system-related pathways, highlighting these pathways as therapeutic targets to prevent metabolic deterioration in MHO patients.
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Affiliation(s)
- Carolina Gutiérrez-Repiso
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain; (C.G.-R.); (T.M.L.-P.); (F.A.-L.)
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Teresa María Linares-Pineda
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain; (C.G.-R.); (T.M.L.-P.); (F.A.-L.)
| | - Andres Gonzalez-Jimenez
- ECAI Bioinformática Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain;
| | - Francisca Aguilar-Lineros
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain; (C.G.-R.); (T.M.L.-P.); (F.A.-L.)
| | - Sergio Valdés
- Departamento de Endocrinología and Nutrición, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29009 Málaga, Spain; (S.V.); (F.S.); (G.R.-M.)
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Federico Soriguer
- Departamento de Endocrinología and Nutrición, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29009 Málaga, Spain; (S.V.); (F.S.); (G.R.-M.)
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Gemma Rojo-Martínez
- Departamento de Endocrinología and Nutrición, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29009 Málaga, Spain; (S.V.); (F.S.); (G.R.-M.)
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Francisco J. Tinahones
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain; (C.G.-R.); (T.M.L.-P.); (F.A.-L.)
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Departamento de Medicina y Dermatología, Universidad de Málaga, 29010 Málaga, Spain
- Correspondence: (F.J.T.); (S.M.)
| | - Sonsoles Morcillo
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain; (C.G.-R.); (T.M.L.-P.); (F.A.-L.)
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Correspondence: (F.J.T.); (S.M.)
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Guo Y, Lv Z, Tang Z, Huang S, Peng C, Wang F, Zhou Z, Ding W, Liu W, Liu P, Li D, Song J, He J, Chen Y, Liu G, Hu X, Liu J, Ke Y. Long-term exposure to low doses of bisphenol S has hypoglycaemic effect in adult male mice by promoting insulin sensitivity and repressing gluconeogenesis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 277:116630. [PMID: 33667749 DOI: 10.1016/j.envpol.2021.116630] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 01/25/2021] [Accepted: 01/28/2021] [Indexed: 05/27/2023]
Abstract
Bisphenol S (BPS), an industrial chemical that is a structural analogue of bisphenol A, has been widely reported to be involved in various biological processes. Epidemiological studies have demonstrated that exposure to BPS is associated with dysglycaemia-related health outcomes. The role of BPS in glucose metabolism, however, remains controversial. In this study, we aimed to investigate the effects of chronic exposure to environmentally relevant concentrations of BPS on glucose metabolism in different nutritionally conditioned mice. Our results revealed that 1-month exposure to a BPS dosage of 100 μg/kg bw slightly increased the insulin sensitivity of normal diet-fed mice, and that this effect was enhanced after 3-month exposure. It was also found that BPS exposure attenuated insulin resistance and reduced gluconeogenesis in high-fat diet-fed mice. Consequently, the concentrations of hepatic metabolites related to glucose metabolism were altered in both groups of mice. Moreover, thyroid hormone signalling was disrupted after BPS administration in both groups of mice. Taken together, our results demonstrated that chronic exposure to environmentally relevant concentrations of BPS exerted an unexpected hypoglycaemic effect in mice of different nutritional statuses, and that this was partly attributable to disrupted thyroid hormone signalling.
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Affiliation(s)
- Yajie Guo
- The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518033, China
| | - Ziquan Lv
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Zhi Tang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China; Department of Environmental and Occupational Health, School of Public Health, Guangdong Medical University, Dongguan, 523808, China
| | - Suli Huang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Changfeng Peng
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Fangting Wang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Zhiguang Zhou
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Wenqi Ding
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Weiwen Liu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Peiyi Liu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Di Li
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Jiayi Song
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Jie He
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Ying Chen
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Guangnan Liu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Xiaoxiao Hu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Jianjun Liu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Yuebin Ke
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China.
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8
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Yin J, Ren W, Chen S, Li Y, Han H, Gao J, Liu G, Wu X, Li T, Woo Kim S, Yin Y. Metabolic Regulation of Methionine Restriction in Diabetes. Mol Nutr Food Res 2018; 62:e1700951. [PMID: 29603632 DOI: 10.1002/mnfr.201700951] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Revised: 01/25/2018] [Indexed: 12/16/2022]
Abstract
Although the effects of dietary methionine restriction have been investigated in the physiology of aging and diseases related to oxidative stress, the relationship between methionine restriction (MR) and the development of metabolic disorders has not been explored extensively. This review summarizes studies of the possible involvement of dietary methionine restriction in improving insulin resistance, glucose homeostasis, oxidative stress, lipid metabolism, the pentose phosphate pathway (PPP), and inflammation, with an emphasis on the fibroblast growth factor 21 and protein phosphatase 2A signals and autophagy in diabetes. Diets deficient in methionine may be a useful nutritional strategy in patients with diabetes.
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Affiliation(s)
- Jie Yin
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou, China.,Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.,University of Chinese Academy of Sciences, Beijing, PR, China
| | - Wenkai Ren
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou, China.,Jiangsu Co-Innovation Center for Important Animal Infectious Diseases and Zoonoses, Joint International Research Laboratory of Agriculture and Agri-Product, Safety of Ministry of Education of China, College of Veterinary Medicine, Yangzhou University, Yangzhou, China
| | - Shuai Chen
- Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.,University of Chinese Academy of Sciences, Beijing, PR, China
| | - Yuying Li
- Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.,University of Chinese Academy of Sciences, Beijing, PR, China
| | - Hui Han
- Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.,University of Chinese Academy of Sciences, Beijing, PR, China
| | - Jing Gao
- Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.,University of Chinese Academy of Sciences, Beijing, PR, China
| | - Gang Liu
- Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China
| | - Xin Wu
- Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.,Hunan Co-Innovation Center of Animal Production Safety, Changsha, PR, China
| | - Tiejun Li
- Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.,Hunan Co-Innovation Center of Animal Production Safety, Changsha, PR, China
| | - Sung Woo Kim
- Department of Animal Science, North Carolina State University, Raleigh, NC, USA
| | - Yulong Yin
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou, China.,Scientific Observing and Experimental Station of Animal Nutrition and Feed Science in South-Central, Ministry of Agriculture, Hunan Provincial Engineering Research Center for Healthy Livestock and Poultry Production, Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China.,Hunan Co-Innovation Center of Animal Production Safety, Changsha, PR, China
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9
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Chen J, Liu J, Wang Y, Hu X, Zhou F, Hu Y, Yuan Y, Xu Y. Wogonin mitigates nonalcoholic fatty liver disease via enhancing PPARα/AdipoR2, in vivo and in vitro. Biomed Pharmacother 2017; 91:621-631. [PMID: 28486193 DOI: 10.1016/j.biopha.2017.04.125] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2017] [Revised: 04/17/2017] [Accepted: 04/27/2017] [Indexed: 01/05/2023] Open
Abstract
Wogonin has been reported to attenuate hyperglycemia in diabetic mice via anti-adipogenic effect on adipocytes. The potential therapeutic role of wogonin in nonalcoholic fatty liver disease (NAFLD) remains obscure. The aim of the present study was to explore the protective effect of wogonin on NAFLD mice and cultured NCTC 1469 cells exposed to palmitate. Wogonin supplementation significantly improved metabolic parameters in NAFLD mice, including body weight, blood glucose, insulin resistance, adiponectin, blood lipids, aminotransferases and hepatic histopathology. Further research in liver tissues from NAFLD mice and NCTC 1469 cells stressed by lipotoxicity showed wogonin treatment reduced inflammatory response by lowering interleukin-6 (IL-6) and tumor necrosis factor α (TNFα), alleviated oxidative stress by preventing the accumulation of oxidative product malondialdehyde (MDA) and strengthening the anti-oxidative capacity of glutathione (GSH), Superoxide Dismutase (SOD) and Glutathione Peroxidase (GPX). In addition, wogonin repaired the lipotoxicity-induced decline of peroxisome proliferator- activated receptor α (PPARα) and adiponectin receptor 2 (AdipoR2) in hepatocytes, in vivo and in vitro. Knock-down of PPARα abolished the protective effect of wogonin on NCTC 1469 cells, including the up-regulation of AdipoR2. Taken together, the current study demonstrated wogonin might be a potential therapeutic agent for NAFLD via up-regulation of hepatic PPARα/AdipoR2.
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Affiliation(s)
- Jing Chen
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China; Department of Integrated Wards, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Jie Liu
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Ye Wang
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Xuemei Hu
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Feng Zhou
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Yimeng Hu
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Yin Yuan
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Yancheng Xu
- Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China.
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