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Baiju N, Rylander C, Saetrom P, Sandanger TM, Nøst TH. Associations of gene expression in blood with BMI and weight changes among women in the Norwegian Women and Cancer postgenome cohort. Obesity (Silver Spring) 2023; 31:2417-2429. [PMID: 37548254 DOI: 10.1002/oby.23836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 08/08/2023]
Abstract
OBJECTIVE This study aimed to evaluate associations between blood gene expression profiles and (1) current BMI and (2) past weight changes (WCs) among women who had never been diagnosed with cancer in the Norwegian Women and Cancer (NOWAC) postgenome cohort. METHODS This cross-sectional study (N = 1694) used gene expression profiles and information from three questionnaires: Q1 (baseline), Q2 (follow-up), and Q3 (blood collection). The authors performed gene-wise linear regression models to identify differentially expressed genes (DEGs) and functional enrichment analyses to identify their biological functions. RESULTS When assessing BMIQ3 , the study observed 2394, 769, and 768 DEGs for the obesity-versus-normal weight, obesity-versus-overweight, and overweight-versus-normal weight comparisons, respectively. Up to 169 DEGs were observed when investigating WCQ3-Q1 (mean = 7 years, range = 5.5-14 years) and WCQ3-Q2 (mean = 1 year, range = <1 month-9 years) in interaction models with BMI categories, of which 1 to 169 genes were associated with WCs and 0 to 9 were associated with interaction effects of BMI and WCs. Biological functions of BMI-associated DEGs were linked to metabolism, erythrocytes, oxidative stress, and immune processes, whereas WC-associated DEGs were linked to signal transduction. CONCLUSIONS Many BMI-associated but few WC-associated DEGs were identified in the blood of women in Norway. The biological functions of BMI-associated DEGs likely reflect systemic impacts of obesity, especially blood reticulocyte-erythrocyte ratio shifts.
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Affiliation(s)
- Nikita Baiju
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Charlotta Rylander
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Pål Saetrom
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway
- Bioinformatics Core Facility, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Public Health and Nursing, K.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Torkjel M Sandanger
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Therese H Nøst
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Public Health and Nursing, K.G. Jebsen Center for Genetic Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
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2
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Cho HJ, Song S, Kim Z, Youn HJ, Cho J, Min JW, Kim YS, Choi SW, Lee JE. Associations of body mass index and weight change with circulating levels of high-sensitivity C-reactive protein, proinflammatory cytokines, and adiponectin among breast cancer survivors. Asia Pac J Clin Oncol 2023; 19:113-125. [PMID: 35590398 DOI: 10.1111/ajco.13779] [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: 10/19/2021] [Revised: 03/15/2022] [Accepted: 03/17/2022] [Indexed: 01/20/2023]
Abstract
AIM This study examined the associations of body mass index (BMI) and weight change with inflammatory markers among breast cancer survivors in Korea. METHODS A total of 495 women were included who had been diagnosed with primary breast cancer and survived for at least 6 months since the surgery. Information on the body weight and height of the participants was collected both at the study enrollment and diagnosis. The plasma levels of inflammatory markers were measured, including high-sensitivity C-reactive protein, interleukin (IL)-6, IL-8, tumor necrosis factor-α, and adiponectin. A summary z-score was calculated by summing up the z-scores of each biomarker. The least-square means and 95% confidence intervals (CIs) were calculated using a generalized linear model and odds ratios (ORs) and 95% CIs for the elevated levels of inflammatory markers with a multivariate logistic regression model. RESULTS Participants with a BMI ≥27.5 kg/m2 at the study enrollment and at diagnosis were significantly associated with elevated summary z-scores compared to those with a BMI < 23 kg/m2 ; the ORs (95% CIs) were 5.42 (2.15-13.71) for current BMI and 3.66 (1.68-7.98) for BMI at diagnosis, respectively. Additionally, a weight loss > 5% since diagnosis was associated with a lower prevalence of high summary z-scores; the OR (95% CI) was .20 (.08-.52) compared to a stable weight. CONCLUSIONS A high BMI at diagnosis and current BMI with a greater degree were associated with unfavorable levels of inflammatory markers among breast cancer survivors. Additionally, weight loss since diagnosis was inversely associated with these markers.
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Affiliation(s)
- Hyun Jeong Cho
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul, Republic of Korea
| | - Sihan Song
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul, Republic of Korea
| | - Zisun Kim
- Department of Surgery, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea
| | - Hyun Jo Youn
- Department of Surgery, Jeonbuk National University Medical School, Jeonju, Republic of Korea
| | - Jihyoung Cho
- Department of Surgery, Keimyung University School of Medicine, Daegu, Republic of Korea
| | - Jun Won Min
- Department of Surgery, College of Medicine, Dankook University, Cheonan, Republic of Korea
| | - Yoo Seok Kim
- Department of Surgery, College of Medicine, Chosun University, Gwangju, Republic of Korea
| | - Sang-Woon Choi
- Chaum Life Center, CHA University, Seoul, Republic of Korea.,Department of Nutrition, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Jung Eun Lee
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul, Republic of Korea.,Research Institute of Human Ecology, Seoul National University, Seoul, Republic of Korea
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3
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Petti M, Alfano C, Farina L. Molecular network analysis of hormonal contraceptives side effects via database integration. INFORMATICS IN MEDICINE UNLOCKED 2023. [DOI: 10.1016/j.imu.2023.101163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
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4
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Guevara-Ramírez P, Cadena-Ullauri S, Ruiz-Pozo VA, Tamayo-Trujillo R, Paz-Cruz E, Simancas-Racines D, Zambrano AK. Genetics, genomics, and diet interactions in obesity in the Latin American environment. Front Nutr 2022; 9:1063286. [PMID: 36532520 PMCID: PMC9751379 DOI: 10.3389/fnut.2022.1063286] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 10/25/2022] [Indexed: 08/25/2023] Open
Abstract
Obesity is a chronic disease characterized by abnormal or excessive fat accumulation that could impact an individual's health; moreover, the World Health Organization (WHO) has declared obesity a global epidemic since 1997. In Latin America, in 2016, reports indicated that 24.2% of the adult population was obese. The environmental factor or specific behaviors like dietary intake or physical activity have a vital role in the development of a condition like obesity, but the interaction of genes could contribute to that predisposition. Hence, it is vital to understand the relationship between genes and disease. Indeed, genetics in nutrition studies the genetic variations and their effect on dietary response; while genomics in nutrition studies the role of nutrients in gene expression. The present review represents a compendium of the dietary behaviors in the Latin American environment and the interactions of genes with their single nucleotide polymorphisms (SNPs) associated with obesity, including the risk allele frequencies in the Latin American population. Additionally, a bibliographical selection of several studies has been included; these studies examined the impact that dietary patterns in Latin American environments have on the expression of numerous genes involved in obesity-associated metabolic pathways.
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Affiliation(s)
- Patricia Guevara-Ramírez
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Santiago Cadena-Ullauri
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Viviana A. Ruiz-Pozo
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Rafael Tamayo-Trujillo
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Elius Paz-Cruz
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Daniel Simancas-Racines
- Centro de Investigación en Salud Pública y Epidemiología Clínica (CISPEC), Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
| | - Ana Karina Zambrano
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito, Ecuador
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5
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Wu Z, Chen L, Hong X, Si J, Cao W, Yu C, Huang T, Sun D, Liao C, Pang Y, Pang Z, Cong L, Wang H, Wu X, Liu Y, Guo Y, Chen Z, Lv J, Gao W, Li L. Temporal associations between leukocytes DNA methylation and blood lipids: a longitudinal study. Clin Epigenetics 2022; 14:132. [PMID: 36274151 PMCID: PMC9588246 DOI: 10.1186/s13148-022-01356-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/13/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The associations between blood lipids and DNA methylation have been investigated in epigenome-wide association studies mainly among European ancestry populations. Several studies have explored the direction of the association using cross-sectional data, while evidence of longitudinal data is still lacking. RESULTS We tested the associations between peripheral blood leukocytes DNA methylation and four lipid measures from Illumina 450 K or EPIC arrays in 1084 participants from the Chinese National Twin Registry and replicated the result in 988 participants from the China Kadoorie Biobank. A total of 23 associations of 19 CpG sites were identified, with 4 CpG sites located in or adjacent to 3 genes (TMEM49, SNX5/SNORD17 and CCDC7) being novel. Among the validated associations, we conducted a cross-lagged analysis to explore the temporal sequence and found temporal associations of methylation levels of 2 CpG sites with triglyceride and 2 CpG sites with high-density lipoprotein-cholesterol (HDL-C) in all twins. In addition, methylation levels of cg11024682 located in SREBF1 at baseline were temporally associated with triglyceride at follow-up in only monozygotic twins. We then performed a mediation analysis with the longitudinal data and the result showed that the association between body mass index and HDL-C was partially mediated by the methylation level of cg06500161 (ABCG1), with a mediation proportion of 10.1%. CONCLUSIONS Our study indicated that the DNA methylation levels of ABCG1, AKAP1 and SREBF1 may be involved in lipid metabolism and provided evidence for elucidating the regulatory mechanism of lipid homeostasis.
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Affiliation(s)
- Zhiyu Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Lu Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Xuanming Hong
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Jiahui Si
- National Institute of Health Data Science at Peking University, Peking University, Beijing, 100191, China
| | - Weihua Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, 100191, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Chunxiao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Zengchang Pang
- Qingdao Center for Disease Control and Prevention, Qingdao, 266033, China
| | - Liming Cong
- Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051, China
| | - Hua Wang
- Jiangsu Center for Disease Control and Prevention, Nanjing, 210008, China
| | - Xianping Wu
- Sichuan Center for Disease Control and Prevention, Chengdu, 610041, China
| | - Yu Liu
- Heilongjiang Center for Disease Control and Prevention, Harbin, 150090, China
| | - Yu Guo
- Fuwai hospital Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, 100191, China
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, 100191, China.
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6
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Tai Y, Tian H, Yang X, Feng S, Chen S, Zhong C, Gao T, Gang X, Liu M. Identification of hub genes and candidate herbal treatment in obesity through integrated bioinformatic analysis and reverse network pharmacology. Sci Rep 2022; 12:17113. [PMID: 36224334 PMCID: PMC9556576 DOI: 10.1038/s41598-022-22112-4] [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: 04/21/2022] [Accepted: 10/10/2022] [Indexed: 01/04/2023] Open
Abstract
Obesity is a global epidemic elevating the risk of various metabolic disorders. As there is a lack of effective drugs to treat obesity, we combined bioinformatics and reverse network pharmacology in this study to identify effective herbs to treat obesity. We identified 1011 differentially expressed genes (DEGs) of adipose tissue after weight loss by analyzing five expression profiles (GSE103766, GSE35411, GSE112307, GSE43471, and GSE35710) from the Gene Expression Omnibus (GEO) database. We identified 27 hub genes from the protein-protein interaction (PPI) network by performing MCODE using the Search Tool for the Retrieval of Interacting Genes (STRING) database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed that these hub genes have roles in the extracellular matrix-receptor interaction, cholesterol metabolism, PI3K-Akt signaling pathway, etc. Ten herbs (Aloe, Portulacae Herba, Mori Follum, Silybum Marianum, Phyllanthi Fructus, Pollen Typhae, Ginkgo Semen, Leonuri Herba, Eriobotryae Folium, and Litseae Fructus) targeting the nine hub genes (COL1A1, MMP2, MMP9, SPP1, DNMT3B, MMP7, CETP, COL1A2, and MUC1) using six ingredients were identified as the key herbs. Quercetin and (-)-epigallocatechin-3-gallate were determined to be the key ingredients. Lastly, Ingredients-Targets, Herbs-Ingredients-Targets, and Herbs-Taste-Meridian Tropism networks were constructed using Cytoscape to elucidate this complex relationship. This study could help identify promising therapeutic targets and drugs to treat obesity.
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Affiliation(s)
- Yuxing Tai
- grid.440665.50000 0004 1757 641XChangchun University of Chinese Medicine, Changchun, 130117 China
| | - Hongying Tian
- grid.440665.50000 0004 1757 641XChangchun University of Chinese Medicine, Changchun, 130117 China
| | - Xiaoqian Yang
- grid.440665.50000 0004 1757 641XJilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117 China
| | - Shixing Feng
- grid.24695.3c0000 0001 1431 9176Beijing University of Chinese Medicine, Beijing, 100029 China
| | - Shaotao Chen
- grid.440665.50000 0004 1757 641XDepartment of Acupuncture and Tuina, Changchun University of Chinese Medicine, Changchun, 130117 China ,grid.440665.50000 0004 1757 641XAcupuncture and Massage Center of the Third Affiliated Clinical Hospital, Changchun University of Chinese Medicine, Changchun, 130117 China
| | - Chongwen Zhong
- grid.440665.50000 0004 1757 641XDepartment of Acupuncture and Tuina, Changchun University of Chinese Medicine, Changchun, 130117 China
| | - Tianjiao Gao
- grid.440665.50000 0004 1757 641XChangchun University of Chinese Medicine, Changchun, 130117 China
| | - Xiaochao Gang
- grid.440665.50000 0004 1757 641XDepartment of Acupuncture and Tuina, Changchun University of Chinese Medicine, Changchun, 130117 China
| | - Mingjun Liu
- grid.440665.50000 0004 1757 641XDepartment of Acupuncture and Tuina, Changchun University of Chinese Medicine, Changchun, 130117 China ,grid.440665.50000 0004 1757 641XAcupuncture and Massage Center of the Third Affiliated Clinical Hospital, Changchun University of Chinese Medicine, Changchun, 130117 China
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7
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Brashears CB, Prudner BC, Rathore R, Caldwell KE, Dehner CA, Buchanan JL, Lange SE, Poulin N, Sehn JK, Roszik J, Spitzer D, Jones KB, O'Keefe R, Nielsen TO, Taylor EB, Held JM, Hawkins W, Van Tine BA. Malic Enzyme 1 Absence in Synovial Sarcoma Shifts Antioxidant System Dependence and Increases Sensitivity to Ferroptosis Induction with ACXT-3102. Clin Cancer Res 2022; 28:3573-3589. [PMID: 35421237 PMCID: PMC9378556 DOI: 10.1158/1078-0432.ccr-22-0470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 03/29/2022] [Accepted: 04/12/2022] [Indexed: 01/09/2023]
Abstract
PURPOSE To investigate the metabolism of synovial sarcoma (SS) and elucidate the effect of malic enzyme 1 absence on SS redox homeostasis. EXPERIMENTAL DESIGN ME1 expression was measured in SS clinical samples, SS cell lines, and tumors from an SS mouse model. The effect of ME1 absence on glucose metabolism was evaluated utilizing Seahorse assays, metabolomics, and C13 tracings. The impact of ME1 absence on SS redox homeostasis was evaluated by metabolomics, cell death assays with inhibitors of antioxidant systems, and measurements of intracellular reactive oxygen species (ROS). The susceptibility of ME1-null SS to ferroptosis induction was interrogated in vitro and in vivo. RESULTS ME1 absence in SS was confirmed in clinical samples, SS cell lines, and an SS tumor model. Investigation of SS glucose metabolism revealed that ME1-null cells exhibit higher rates of glycolysis and higher flux of glucose into the pentose phosphate pathway (PPP), which is necessary to produce NADPH. Evaluation of cellular redox homeostasis demonstrated that ME1 absence shifts dependence from the glutathione system to the thioredoxin system. Concomitantly, ME1 absence drives the accumulation of ROS and labile iron. ROS and iron accumulation enhances the susceptibility of ME1-null cells to ferroptosis induction with inhibitors of xCT (erastin and ACXT-3102). In vivo xenograft models of ME1-null SS demonstrate significantly increased tumor response to ACXT-3102 compared with ME1-expressing controls. CONCLUSIONS These findings demonstrate the translational potential of targeting redox homeostasis in ME1-null cancers and establish the preclinical rationale for a phase I trial of ACXT-3102 in SS patients. See related commentary by Subbiah and Gan, p. 3408.
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Affiliation(s)
- Caitlyn B. Brashears
- Division of Medical Oncology, Washington University in St. Louis, St. Louis, Missouri
| | - Bethany C. Prudner
- Division of Medical Oncology, Washington University in St. Louis, St. Louis, Missouri
| | - Richa Rathore
- Division of Medical Oncology, Washington University in St. Louis, St. Louis, Missouri
| | - Katharine E. Caldwell
- Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Carina A. Dehner
- Department of Pathology and Immunology, Division of Anatomic and Molecular Pathology, Washington University in St. Louis, St. Louis, Missouri
| | - Jane L. Buchanan
- Department of Molecular Physiology and Biophysics, Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Sara E.S. Lange
- Division of Medical Oncology, Washington University in St. Louis, St. Louis, Missouri
| | - Neal Poulin
- Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Jennifer K. Sehn
- Department of Pathology and Immunology, Division of Anatomic and Molecular Pathology, Washington University in St. Louis, St. Louis, Missouri
| | - Jason Roszik
- Departments of Melanoma Medical Oncology and Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dirk Spitzer
- Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri.,Siteman Cancer Center, Washington University in St. Louis, St. Louis, Missouri
| | - Kevin B. Jones
- Department of Orthopedics, University of Utah, Salt Lake City, Utah.,Department of Oncological Sciences, University of Utah, Salt Lake City, Utah.,Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Regis O'Keefe
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, Missouri.,Department of Orthopedics, Washington University in St. Louis, St. Louis, Missouri
| | - Torsten O. Nielsen
- Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Eric B. Taylor
- Department of Molecular Physiology and Biophysics, Carver College of Medicine, University of Iowa, Iowa City, Iowa.,Holden Comprehensive Cancer Center, University of Iowa, Iowa City, Iowa.,Fraternal Order of Eagles Diabetes Research Center, University of Iowa, Iowa City, Iowa
| | - Jason M. Held
- Division of Medical Oncology, Washington University in St. Louis, St. Louis, Missouri.,Siteman Cancer Center, Washington University in St. Louis, St. Louis, Missouri.,Department of Anesthesiology, Washington University in St. Louis, St. Louis, Missouri
| | - William Hawkins
- Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri.,Siteman Cancer Center, Washington University in St. Louis, St. Louis, Missouri
| | - Brian A. Van Tine
- Division of Medical Oncology, Washington University in St. Louis, St. Louis, Missouri.,Siteman Cancer Center, Washington University in St. Louis, St. Louis, Missouri.,Department of Pediatrics, Washington University in St. Louis, St. Louis, Missouri.,Corresponding Author: Brian A. Van Tine, Division of Medical Oncology, Washington University in St. Louis, 660 South Euclid, Campus Box 8007, St. Louis, MO 63110. Phone: 314-747-3096: E-mail:
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8
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Adam S, Ho JH, Liu Y, Siahmansur T, Siddals K, Iqbal Z, Azmi S, Senapati S, New J, Jeziorska M, Ammori BJ, Syed AA, Donn R, Malik RA, Durrington PN, Soran H. Bariatric Surgery-induced High-density Lipoprotein Functionality Enhancement Is Associated With Reduced Inflammation. J Clin Endocrinol Metab 2022; 107:2182-2194. [PMID: 35639942 DOI: 10.1210/clinem/dgac244] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Emerging evidence suggests an association between impaired high-density lipoprotein (HDL) functionality and cardiovascular disease (CVD). HDL is essential for reverse cholesterol transport (RCT) and reduces inflammation and oxidative stress principally via paraoxonase-1 (PON1). RCT depends on HDL's capacity to accept cholesterol (cholesterol efflux capacity [CEC]) and active transport through ATP-binding cassette (ABC) A1, G1, and scavenger receptor-B1 (SR-B1). We have studied the impact of Roux-en-Y gastric bypass (RYGB) in morbidly obese subjects on RCT and HDL functionality. METHODS Biomarkers associated with increased CVD risk including tumour necrosis factor-α (TNF-α), high-sensitivity C-reactive protein (hsCRP), myeloperoxidase mass (MPO), PON1 activity, and CEC in vitro were measured in 44 patients before and 6 and 12 months after RYGB. Overweight but otherwise healthy (mean body mass index [BMI] 28 kg/m2) subjects acted as controls. Twelve participants also underwent gluteal subcutaneous adipose tissue biopsies before and 6 months after RYGB for targeted gene expression (ABCA1, ABCG1, SR-B1, TNF-α) and histological analysis (adipocyte size, macrophage density, TNF-α immunostaining). RESULTS Significant (P < 0.05) improvements in BMI, HDL-cholesterol, hsCRP, TNF-α, MPO mass, PON1 activity, and CEC in vitro were observed after RYGB. ABCG1 (fold-change, 2.24; P = 0.005) and ABCA1 gene expression increased significantly (fold-change, 1.34; P = 0.05). Gluteal fat adipocyte size (P < 0.0001), macrophage density (P = 0.0067), and TNF-α immunostaining (P = 0.0425) were reduced after RYBG and ABCG1 expression correlated inversely with TNF-α immunostaining (r = -0.71; P = 0.03). CONCLUSION RYGB enhances HDL functionality in association with a reduction in adipose tissue and systemic inflammation.
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Affiliation(s)
- Safwaan Adam
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
- The Christie Hospital NHS Foundation Trust, Manchester M20 4BX, United Kingdom
| | - Jan H Ho
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
- Cardiovascular Trials Unit, Manchester University NHS Foundation Trust, Manchester M13 9WL, United Kingdom
| | - Yifen Liu
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
| | - Tarza Siahmansur
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
| | - Kirk Siddals
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
| | - Zohaib Iqbal
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
- Cardiovascular Trials Unit, Manchester University NHS Foundation Trust, Manchester M13 9WL, United Kingdom
| | - Shazli Azmi
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
- Cardiovascular Trials Unit, Manchester University NHS Foundation Trust, Manchester M13 9WL, United Kingdom
| | - Siba Senapati
- Department of Surgery, Salford Royal NHS Foundation Trust, Salford M6 8HD, United Kingdom
| | - John New
- Department of Diabetes, Endocrinology and Obesity Medicine, Salford Royal NHS Foundation Trust, Salford M6 8HD, United Kingdom
| | - Maria Jeziorska
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
| | - Basil J Ammori
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
- Department of Diabetes, Endocrinology and Obesity Medicine, Salford Royal NHS Foundation Trust, Salford M6 8HD, United Kingdom
| | - Akheel A Syed
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
- Department of Diabetes, Endocrinology and Obesity Medicine, Salford Royal NHS Foundation Trust, Salford M6 8HD, United Kingdom
| | - Rachelle Donn
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
| | - Rayaz A Malik
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
- Weill-Cornell Medicine-Qatar, Doha 24144, Qatar
| | - Paul N Durrington
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
| | - Handrean Soran
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WU, United Kingdom
- Cardiovascular Trials Unit, Manchester University NHS Foundation Trust, Manchester M13 9WL, United Kingdom
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9
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Schutte S, Esser D, Siebelink E, Michielsen CJR, Daanje M, Matualatupauw JC, Boshuizen HC, Mensink M, Afman LA, Esser D, Siebelink E, Fick H, Grootte Bromhaar MM, Wang Y, de Bruijn SEM, Mars M, Meijerink J, Mensink M, Afman LA, Feskens EJM, Müller M. Diverging metabolic effects of 2 energy-restricted diets differing in nutrient quality: a 12-week randomized controlled trial in subjects with abdominal obesity. Am J Clin Nutr 2022; 116:132-150. [PMID: 35102369 PMCID: PMC9257474 DOI: 10.1093/ajcn/nqac025] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 01/24/2022] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Despite the established relation between energy restriction (ER) and metabolic health, the most beneficial nutrient composition of a weight-loss diet is still a subject of debate. OBJECTIVES The aim of the study was to examine the additional effects of nutrient quality on top of ER. METHODS A parallel-designed, 12-week 25% ER dietary intervention study was conducted (clinicaltrials.gov: NCT02194504). Participants aged 40-70 years with abdominal obesity were randomized over 3 groups: a 25% ER high-nutrient-quality diet (n = 40); a 25% ER low-nutrient-quality diet (n = 40); or a habitual diet (n = 30). Both ER diets were nutritionally adequate, and the high-nutrient-quality ER diet was enriched in MUFAs, n-3 PUFAs, fiber, and plant protein and reduced in fructose. Before and after the intervention, intrahepatic lipids, body fat distribution, fasting and postprandial responses to a mixed-meal shake challenge test of cardiometabolic risk factors, lipoproteins, vascular measurements, and adipose tissue transcriptome were assessed. RESULTS The high-nutrient-quality ER diet (-8.4 ± 3.2) induced 2.1 kg more weight loss (P = 0.007) than the low-nutrient-quality ER diet (-6.3 ± 3.9), reduced fasting serum total cholesterol (P = 0.014) and plasma triglycerides (P < 0.001), promoted an antiatherogenic lipoprotein profile, and induced a more pronounced decrease in adipose tissue gene expression of energy metabolism pathways than the low-quality ER diet. Explorative analyses showed that the difference in weight loss between the two ER diets was specifically present in insulin-sensitive subjects (HOMA-IR ≤ 2.5), in whom the high-nutrient-quality diet induced 3.9 kg more weight loss than the low-nutrient-quality diet. CONCLUSIONS A high-nutrient-quality 25% ER diet is more beneficial for cardiometabolic health than a low-nutrient-quality 25% ER diet. Overweight, insulin-sensitive subjects may benefit more from a high- than a low-nutrient-quality ER diet with respect to weight loss, due to potential attenuation of glucose-induced lipid synthesis in adipose tissue.
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Affiliation(s)
- Sophie Schutte
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlands
| | - Diederik Esser
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlands
| | - Els Siebelink
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlands
| | - Charlotte J R Michielsen
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlands
| | - Monique Daanje
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlands
| | - Juri C Matualatupauw
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlands
| | - Hendriek C Boshuizen
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlands
| | - Marco Mensink
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlands
| | | | - The Wageningen Belly Fat Study team
SchutteSophiePhDDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The NetherlandsEsserDiederikPhDDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The NetherlandsSiebelinkElsBScSenior Research DieticianDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The NetherlandsFickHenriëtteBScCoordinator Human ResearchDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The NetherlandsGrootte BromhaarMechteld MBScLaboratory Technician Human ResearchDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The NetherlandsWangYaPhDDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlandsde BruijnSuzanne E MPhDDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The NetherlandsMarsMonicaPhDAssociate ProfessorDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The NetherlandsMeijerinkJocelijnPhDAssistant ProfessorDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlandshttps://orcid.org/0000-0002-9725-5709MensinkMarcoPhD, MDAssistant ProfessorDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlandshttps://orcid.org/0000-0002-7939-6217AfmanLydia APhDAssociate ProfessorDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The NetherlandsFeskensEdith J MPhDProfessorDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The NetherlandsMüllerMichaelPhDDirector of the Food and Metabolic Health Alliance & Professor at the University of East Anglia, Former Professor at Wageningen UniversityDivision of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health, Wageningen, The Netherlands
| | - Diederik Esser
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
| | - Els Siebelink
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
| | - Henriëtte Fick
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
| | - Mechteld M Grootte Bromhaar
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
| | - Ya Wang
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
| | - Suzanne E M de Bruijn
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
| | - Monica Mars
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
| | - Jocelijn Meijerink
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
| | - Marco Mensink
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
| | - Lydia A Afman
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
| | - Michael Müller
- Division of Human Nutrition and Health, Wageningen University, Division of Human Nutrition and Health , Wageningen, The Netherlands
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10
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Ghanavati M, Alipour Parsa S, Nasrollahzadeh J. A calorie-restricted diet with nuts favourably raises plasma high-density lipoprotein-cholesterol in overweight and obese patients with stable coronary heart disease: A randomised controlled trial. Int J Clin Pract 2021; 75:e14431. [PMID: 34080258 DOI: 10.1111/ijcp.14431] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 05/08/2021] [Accepted: 05/29/2021] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Weight loss and consumption of nuts may both improve plasma lipids and lipoproteins. However, their effects in patients with coronary artery disease (CAD) who are under treatment with statins remain unclear. This study was conducted to determine plasma lipid and lipoprotein responses to a low-calorie (25% of energy deficit) nuts containing diet (NELCD) compared with a nut-free energy-restricted diet (NFLCD) in stable CAD patients who were overweight or obese (n = 67). METHODS Plasma lipids and lipoproteins and ATP-binding cassette (ABC) A1 and ABCG1 mRNA expressions in peripheral blood mononuclear cells (PBMCs) isolated from patients were assessed at baseline and after 8 weeks. RESULTS Plasma high-density lipoprotein (HDL) cholesterol and apoA1 increased significantly in the NELCD group at the end of Week 8 compared with those in NFLCD group (in NELCD group, mean change and 95% confidence interval (CI) were 1.17 [-1.31, 3.66] mg/dL, P = 0.012, and 2.55 [-2.10, 7.20] mg/dL, P = 0.011, for HDL cholesterol and apoA1, respectively). In both groups, the concentrations of total cholesterol, low-density lipoprotein cholesterol and triglyceride reduced significantly at Week 8 compared with those in baseline with no significant difference between the two groups. ABCA1 and ABCG1 mRNA expressions non-significantly decreased in both groups. CONCLUSION This study indicates that inclusion of nuts as part of a calorie-restricted diet improves the concentrations of HDL cholesterol and apoA-1 in patients with stable, established CHD receiving statins.
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Affiliation(s)
- Matin Ghanavati
- Department of Clinical Nutrition & Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeed Alipour Parsa
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Javad Nasrollahzadeh
- Department of Clinical Nutrition & Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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11
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Raposo HF, Forsythe P, Chausse B, Castelli JZ, Moraes-Vieira PM, Nunes VS, Oliveira HCF. Novel role of cholesteryl ester transfer protein (CETP): attenuation of adiposity by enhancing lipolysis and brown adipose tissue activity. Metabolism 2021; 114:154429. [PMID: 33166579 DOI: 10.1016/j.metabol.2020.154429] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 10/13/2020] [Accepted: 11/04/2020] [Indexed: 01/07/2023]
Abstract
OBJECTIVE The systemic function of CETP has been well characterized. CETP plasma activity reduces HDL cholesterol and thus increases the risk of atherosclerosis. Here, we investigated whether CETP expression modulate adiposity. METHODS Body adiposity and energy metabolism related assays and gene/protein expression were compared in CETP transgenic and non-transgenic mice and in hamsters treated with CETP neutralizing antibody. RESULTS We found that transgenic mice expressing human CETP present less white adipose tissue mass and lower leptinemia than nontransgenic (NTg) littermates. No differences were found in physical activity, food intake, fat fecal excretion, lipogenesis or exogenous lipid accumulation in adipose depots. Nonetheless, adipose lipolysis rates and whole-body energy expenditure were elevated in CETP mice. In accordance, lipolysis-related gene expression and protein content were increased in visceral and brown adipose tissue (BAT). In addition, we verified increased BAT temperature and oxygen consumption. These results were confirmed in two other animal models: 1) hamsters treated with CETP neutralizing antibody and 2) an independent line of transgenic mice expressing simian CETP. CONCLUSIONS These findings reveal a novel anti-adipogenic role for CETP.
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Affiliation(s)
- Helena F Raposo
- Department of Structural and Functional Biology, Institute of Biology, State University of Campinas, Campinas, SP, Brazil; Obesity and Comorbidities Research Center, Institute of Biology, State University of Campinas, Campinas, SP, Brazil
| | - Patricia Forsythe
- Department of Structural and Functional Biology, Institute of Biology, State University of Campinas, Campinas, SP, Brazil
| | - Bruno Chausse
- Obesity and Comorbidities Research Center, Institute of Biology, State University of Campinas, Campinas, SP, Brazil
| | - Júlia Z Castelli
- Department of Structural and Functional Biology, Institute of Biology, State University of Campinas, Campinas, SP, Brazil; Obesity and Comorbidities Research Center, Institute of Biology, State University of Campinas, Campinas, SP, Brazil
| | - Pedro M Moraes-Vieira
- Obesity and Comorbidities Research Center, Institute of Biology, State University of Campinas, Campinas, SP, Brazil; Laboratory of Immunometabolism, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, State University of Campinas, Campinas, SP, Brazil; Experimental Medicine Research Cluster (EMRC), State University of Campinas, SP, Brazil
| | - Valéria S Nunes
- Laboratorio de Lipides (LIM10), Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Helena C F Oliveira
- Department of Structural and Functional Biology, Institute of Biology, State University of Campinas, Campinas, SP, Brazil; Obesity and Comorbidities Research Center, Institute of Biology, State University of Campinas, Campinas, SP, Brazil.
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12
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Zhai M, Luan P, Shi Y, Li B, Kang J, Hu F, Li M, Du L, Zhou D, Jian W, Peng W. Identification of Three Significant Genes Associated with Immune Cells Infiltration in Dysfunctional Adipose Tissue-Induced Insulin-Resistance of Obese Patients via Comprehensive Bioinformatics Analysis. Int J Endocrinol 2021; 2021:8820089. [PMID: 33564304 PMCID: PMC7850849 DOI: 10.1155/2021/8820089] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 12/10/2020] [Accepted: 01/06/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Low-grade chronic inflammation in dysfunctional adipose tissue links obesity with insulin resistance through the activation of tissue-infiltrating immune cells. Numerous studies have reported on the pathogenesis of insulin-resistance. However, few studies focused on genes from genomic database. In this study, we would like to explore the correlation of genes and immune cells infiltration in adipose tissue via comprehensive bioinformatics analyses and experimental validation in mice and human adipose tissue. METHODS Gene Expression Omnibus (GEO) datasets (GSE27951, GSE55200, and GSE26637) of insulin-resistant individuals or type 2 diabetes patients and normal controls were downloaded to get differently expressed genes (DEGs), and GO and KEGG pathway analyses were performed. Subsequently, we integrated DEGs from three datasets and constructed commonly expressed DEGs' PPI net-works across datasets. Center regulating module of DEGs and hub genes were screened through MCODE and cytoHubba in Cytoscape. Three most significant hub genes were further analyzed by GSEA analysis. Moreover, we verified the predicted hub genes by performing RT qPCR analysis in animals and human samples. Besides, the relative fraction of 22 immune cell types in adipose tissue was detected by using the deconvolution algorithm of CIBERSORT (Cell Type Identification by Estimating Relative Subsets of RNA Transcripts). Furthermore, based on the significantly changed types of immune cells, we performed correlation analysis between hub genes and immune cells. And, we performed immunohistochemistry and immunofluorescence analysis to verify that the hub genes were associated with adipose tissue macrophages (ATM). RESULTS Thirty DEGs were commonly expressed across three datasets, most of which were upregulated. DEGs mainly participated in the process of multiple immune cells' infiltration. In protein-protein interaction network, we identified CSF1R, C1QC, and TYROBP as hub genes. GSEA analysis suggested high expression of the three hub genes was correlated with immune cells functional pathway's activation. Immune cell infiltration and correlation analysis revealed that there were significant positive correlations between TYROBP and M0 macrophages, CSF1R and M0 macrophages, Plasma cells, and CD8 T cells. Finally, hub genes were associated with ATMs infiltration by experimental verification. CONCLUSIONS This article revealed that CSF1R, C1QC, and TYROBP were potential hub genes associated with immune cells' infiltration and the function of proinflammation, especially adipose tissue macrophages, in the progression of obesity-induced diabetes or insulin-resistance.
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Affiliation(s)
- Ming Zhai
- Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 301 Middle Yanchang Road, Shanghai 200072, China
| | - Peipei Luan
- Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 301 Middle Yanchang Road, Shanghai 200072, China
| | - Yefei Shi
- Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 301 Middle Yanchang Road, Shanghai 200072, China
| | - Bo Li
- Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 301 Middle Yanchang Road, Shanghai 200072, China
| | - Jianhua Kang
- Department of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University, School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China
| | - Fan Hu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai 200233, China
| | - Mingjie Li
- Department of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University, School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China
| | - Lei Du
- Department of Metabolic Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 301 Middle Yanchang Road, Shanghai 200072, China
| | - Donglei Zhou
- Department of General Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 301 Middle Yanchang Road, Shanghai 200072, China
| | - Weixia Jian
- Department of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University, School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China
| | - Wenhui Peng
- Department of Cardiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 301 Middle Yanchang Road, Shanghai 200072, China
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13
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Al Heialy S, Hachim MY, Senok A, Gaudet M, Abou Tayoun A, Hamoudi R, Alsheikh-Ali A, Hamid Q. Regulation of Angiotensin- Converting Enzyme 2 in Obesity: Implications for COVID-19. Front Physiol 2020; 11:555039. [PMID: 33071815 PMCID: PMC7531362 DOI: 10.3389/fphys.2020.555039] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 08/27/2020] [Indexed: 12/13/2022] Open
Abstract
The ongoing COVID-19 pandemic is caused by the novel coronavirus SARS-CoV-2. Age, smoking, obesity, and chronic diseases such as cardiovascular disease and diabetes have been described as risk factors for severe complications and mortality in COVID-19. Obesity and diabetes are usually associated with dysregulated lipid synthesis and clearance, which can initiate or aggravate pulmonary inflammation and injury. It has been shown that for viral entry into the host cell, SARS-CoV-2 utilizes the angiotensin-converting enzyme 2 (ACE2) receptors present on the cells. We aimed to characterize how SARS-CoV-2 dysregulates lipid metabolism pathways in the host and the effect of dysregulated lipogenesis on the regulation of ACE2, specifically in obesity. In our study, through the re-analysis of publicly available transcriptomic data, we first found that lung epithelial cells infected with SARS-CoV-2 showed upregulation of genes associated with lipid metabolism, including the SOC3 gene, which is involved in the regulation of inflammation and inhibition of leptin signaling. This is of interest as viruses may hijack host lipid metabolism to allow the completion of their viral replication cycles. Furthermore, a dataset using a mouse model of diet-induced obesity showed a significant increase in Ace2 expression in the lungs, which negatively correlated with the expression of genes that code for sterol response element-binding proteins 1 and 2 (SREBP). Suppression of Srebp1 showed a significant increase in Ace2 expression in the lung. Moreover, ACE2 expression in human subcutaneous adipose tissue can be regulated through changes in diet. Validation of the in silico data revealed a higher expression of ACE2, TMPRSS2 and SREBP1 in vitro in lung epithelial cells from obese subjects compared to non-obese subjects. To our knowledge this is the first study to show upregulation of ACE2 and TMPRSS2 in obesity. In silico and in vitro results suggest that the dysregulated lipogenesis and the subsequently high ACE2 expression in obese patients might be the mechanism underlying the increased risk for severe complications in those patients when infected by SARS-CoV-2.
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Affiliation(s)
- Saba Al Heialy
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.,Meakins-Christie Laboratories, Research Institute of the McGill University Health Center, Montreal, QC, Canada
| | - Mahmood Yaseen Hachim
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates
| | - Abiola Senok
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates
| | - Mellissa Gaudet
- Meakins-Christie Laboratories, Research Institute of the McGill University Health Center, Montreal, QC, Canada
| | - Ahmad Abou Tayoun
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.,Al Jalila Children's Specialty Hospital, Dubai, United Arab Emirates
| | - Rifat Hamoudi
- Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Alawi Alsheikh-Ali
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates
| | - Qutayba Hamid
- Meakins-Christie Laboratories, Research Institute of the McGill University Health Center, Montreal, QC, Canada.,Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
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14
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Nono Nankam PA, Blüher M, Kehr S, Klöting N, Krohn K, Adams K, Stadler PF, Mendham AE, Goedecke JH. Distinct abdominal and gluteal adipose tissue transcriptome signatures are altered by exercise training in African women with obesity. Sci Rep 2020; 10:10240. [PMID: 32581226 PMCID: PMC7314771 DOI: 10.1038/s41598-020-66868-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 05/28/2020] [Indexed: 01/09/2023] Open
Abstract
The differential associations of adipose depots with metabolic risk during obesity have been proposed to be controlled by environmental and genetic factors. We evaluated the regional differences in transcriptome signatures between abdominal (aSAT) and gluteal subcutaneous adipose tissue (gSAT) in obese black South African women and tested the hypothesis that 12-week exercise training alters gene expression patterns in a depot-specific manner. Twelve young women performed 12-weeks of supervised aerobic and resistance training. Pre- and post-intervention measurements included peak oxygen consumption (VO2peak), whole-body composition and unbiased gene expression analysis of SAT depots. VO2peak increased, body weight decreased, and body fat distribution improved with exercise training (p < 0.05). The expression of 15 genes, mainly associated with embryonic development, differed between SAT depots at baseline, whereas 318 genes were differentially expressed post-training (p < 0.05). Four developmental genes were differentially expressed between these depots at both time points (HOXA5, DMRT2, DMRT3 and CSN1S1). Exercise training induced changes in the expression of genes associated with immune and inflammatory responses, and lipid metabolism in gSAT, and muscle-associated processes in aSAT. This study showed differences in developmental processes regulating SAT distribution and expandability of distinct depots, and depot-specific adaptation to exercise training in black South African women with obesity.
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Affiliation(s)
- Pamela A Nono Nankam
- Division of Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town, Cape Town, South Africa. .,Department of Endocrinology, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
| | - Matthias Blüher
- Department of Endocrinology, Faculty of Medicine, University of Leipzig, Leipzig, Germany.,Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Stephanie Kehr
- Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
| | - Nora Klöting
- Department of Endocrinology, Faculty of Medicine, University of Leipzig, Leipzig, Germany.,Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Knut Krohn
- Core Unit DNA-Technologies, Medical Faculty, University Leipzig, Leipzig, Germany
| | - Kevin Adams
- Division of Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Peter F Stadler
- Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
| | - Amy E Mendham
- Division of Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town, Cape Town, South Africa.,Non-communicable Diseases Research Unit, South African Medical Research Council, Tygerberg, Cape Town, South Africa
| | - Julia H Goedecke
- Division of Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town, Cape Town, South Africa.,Non-communicable Diseases Research Unit, South African Medical Research Council, Tygerberg, Cape Town, South Africa
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15
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Whole transcriptome analysis and validation of metabolic pathways in subcutaneous adipose tissues during FGF21-induced weight loss in non-human primates. Sci Rep 2020; 10:7287. [PMID: 32350364 PMCID: PMC7190698 DOI: 10.1038/s41598-020-64170-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 04/09/2020] [Indexed: 01/01/2023] Open
Abstract
Fibroblast growth factor 21 (FGF21) induces weight loss in mouse, monkey, and human studies. In mice, FGF21 is thought to cause weight loss by stimulating thermogenesis, but whether FGF21 increases energy expenditure (EE) in primates is unclear. Here, we explore the transcriptional response and gene networks active in adipose tissue of rhesus macaques following FGF21-induced weight loss. Genes related to thermogenesis responded inconsistently to FGF21 treatment and weight loss. However, expression of gene modules involved in triglyceride (TG) synthesis and adipogenesis decreased, and this was associated with greater weight loss. Conversely, expression of innate immune cell markers was increased post-treatment and was associated with greater weight loss. A lipogenesis gene module associated with weight loss was evaluated by testing the function of member genes in mice. Overexpression of NRG4 reduced weight gain in diet-induced obese mice, while overexpression of ANGPTL8 resulted in elevated TG levels in lean mice. These observations provide evidence for a shifting balance of lipid storage and metabolism due to FGF21-induced weight loss in the non-human primate model, and do not fully recapitulate increased EE seen in rodent and in vitro studies. These discrepancies may reflect inter-species differences or complex interplay of FGF21 activity and counter-regulatory mechanisms.
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16
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Anguita-Ruiz A, Segura-Delgado A, Alcalá R, Aguilera CM, Alcalá-Fdez J. eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research. PLoS Comput Biol 2020; 16:e1007792. [PMID: 32275707 PMCID: PMC7176286 DOI: 10.1371/journal.pcbi.1007792] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 04/22/2020] [Accepted: 03/17/2020] [Indexed: 12/18/2022] Open
Abstract
Until date, several machine learning approaches have been proposed for the dynamic modeling of temporal omics data. Although they have yielded impressive results in terms of model accuracy and predictive ability, most of these applications are based on "Black-box" algorithms and more interpretable models have been claimed by the research community. The recent eXplainable Artificial Intelligence (XAI) revolution offers a solution for this issue, were rule-based approaches are highly suitable for explanatory purposes. The further integration of the data mining process along with functional-annotation and pathway analyses is an additional way towards more explanatory and biologically soundness models. In this paper, we present a novel rule-based XAI strategy (including pre-processing, knowledge-extraction and functional validation) for finding biologically relevant sequential patterns from longitudinal human gene expression data (GED). To illustrate the performance of our pipeline, we work on in vivo temporal GED collected within the course of a long-term dietary intervention in 57 subjects with obesity (GSE77962). As validation populations, we employ three independent datasets following the same experimental design. As a result, we validate primarily extracted gene patterns and prove the goodness of our strategy for the mining of biologically relevant gene-gene temporal relations. Our whole pipeline has been gathered under open-source software and could be easily extended to other human temporal GED applications.
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Affiliation(s)
- Augusto Anguita-Ruiz
- Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix", Center of Biomedical Research, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Alberto Segura-Delgado
- Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain
| | - Rafael Alcalá
- Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain
| | - Concepción M. Aguilera
- Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix", Center of Biomedical Research, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Jesús Alcalá-Fdez
- Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain
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17
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Ronquillo MD, Mellnyk A, Cárdenas-Rodríguez N, Martínez E, Comoto DA, Carmona-Aparicio L, Herrera NE, Lara E, Pereyra A, Floriano-Sánchez E. Different gene expression profiles in subcutaneous & visceral adipose tissues from Mexican patients with obesity. Indian J Med Res 2020; 149:616-626. [PMID: 31417029 PMCID: PMC6702687 DOI: 10.4103/ijmr.ijmr_1165_17] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Background & objectives Obesity is a health problem that requires substantial efforts to understand the physiopathology of its various types and to determine therapeutic strategies for its treatment. The objective of this study was to characterize differences in the global gene expression profiles of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) between control patients (normal weight) and patients with obesity (IMC≥30) using microarrays. Methods Employing RNA isolated from SAT and VAT samples obtained from eight control and eight class I, II and III patients with obesity, the gene expression profiles were compared between SAT and VAT using microarrays and the findings were validated via real-time quantitative polymerase chain reaction. Results A total of 327 and 488 genes were found to be differentially expressed in SAT and VAT, respectively (P≤0.05). Upregulation of PPAP2C, CYP4A11 and CYP17A1 genes was seen in the VAT of obese individuals. Interpretation & conclusions SAT and VAT exhibited significant differences in terms of the expression of specific genes. These genes might be related to obesity. These findings may be used to improve the clinical diagnosis of obesity and could be a tool leading to the proposal of new therapeutic strategies for the treatment of obesity.
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Affiliation(s)
- María D Ronquillo
- Laboratory of Biomedicine Research Unit, Faculty of Higher Studies Iztacala, National Autonomous University of Mexico, Mexico City, Mexico
| | - Alla Mellnyk
- Laboratory of Molecular Oncology and Oxidative Stress, Section of Research & Graduate Studies, Superior School of Medicine, National Polytechnic Institute, Mexico City, Mexico
| | - Noemí Cárdenas-Rodríguez
- Subdirection of Experimental Medicine, Laboratory of Neurosciences, National Institute of Pediatrics, Mexico City, Mexico
| | - Emmanuel Martínez
- Research Subdirection, Multidisciplinary Research Laboratory, Military School of Graduate of Health, Mexico City, Mexico
| | - David A Comoto
- Research Subdirection, Multidisciplinary Research Laboratory, Military School of Graduate of Health, Mexico City, Mexico
| | - Liliana Carmona-Aparicio
- Subdirection of Experimental Medicine, Laboratory of Neurosciences, National Institute of Pediatrics, Mexico City, Mexico
| | - Norma E Herrera
- Laboratory of Molecular Oncology and Oxidative Stress, Section of Research & Graduate Studies, Superior School of Medicine, National Polytechnic Institute, Mexico City, Mexico
| | - Eleazar Lara
- Laboratory of Molecular Oncology and Oxidative Stress, Section of Research & Graduate Studies, Superior School of Medicine, National Polytechnic Institute, Mexico City, Mexico
| | - Armando Pereyra
- Department of Surgery, Military Central Hospital, SEDENA, Mexico City, Mexico
| | - Esaú Floriano-Sánchez
- Research Subdirection, Multidisciplinary Research Laboratory, Military School of Graduate of Health, Mexico City, Mexico
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18
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Park S, Yoo HJ, Jee SH, Lee JH, Kim M. Weighting approaches for a genetic risk score and an oxidative stress score for predicting the incidence of obesity. Diabetes Metab Res Rev 2020; 36:e3230. [PMID: 31654550 DOI: 10.1002/dmrr.3230] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 09/09/2019] [Accepted: 10/06/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND We aimed to predict the incidence of obesity in a Korean population using a genetic risk score (GRS) constructed with obesity-related single nucleotide polymorphisms (SNPs) along with an oxidative stress score (OSS). METHODS A total of 9460 Korean subjects and 356 974 SNPs were included. The GRS was constructed using three significant obesity-related SNP loci, and the OSS was calculated with three reliable oxidative stress biomarkers. RESULTS The GRS showed a more significant association with increased obesity (OR = 2.879) than did individual SNPs after adjusting for age and sex. Three oxidative stress biomarkers, including malondialdehyde, oxidized low-density lipoprotein, and 8-epi-prostaglandin F2α , showed significantly high levels in the obese group. The OSS, which was the sum of each oxidative stress biomarker score, showed a markedly high association with the incidence of obesity, with an OR of 3.213. Based on the results of the regression tests and a receiver-operating characteristic (ROC) curve analysis, we found that HOMA-IR, high-sensitivity C-reactive protein (hs-CRP), the GRS, and the OSS were the most relevant factors for the increased risk of obesity and were significantly associated with the incidence of obesity. The area under the ROC curve was improved when the GRS was added to the model (from 74.2% to 75.1%). CONCLUSIONS We first identified that subjects with an obesity GRS and a high OSS might have a higher risk of obesity. Our findings and weighting approaches were effective in predicting the incidence of obesity; furthermore, the GRS is a relevant factor that significantly predicts the risk of obesity.
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Affiliation(s)
- Seonmin Park
- Department of Science for Aging, Graduate School of Yonsei University, Seoul, Korea
| | - Hye Jin Yoo
- Research Center for Silver Science, Institute of Symbiotic Life-TECH, Yonsei University, Seoul, Korea
- National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomics, Department of Food and Nutrition, College of Human Ecology, Yonsei University, Seoul, Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Jong Ho Lee
- Research Center for Silver Science, Institute of Symbiotic Life-TECH, Yonsei University, Seoul, Korea
- National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomics, Department of Food and Nutrition, College of Human Ecology, Yonsei University, Seoul, Korea
| | - Minjoo Kim
- Research Center for Silver Science, Institute of Symbiotic Life-TECH, Yonsei University, Seoul, Korea
- National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomics, Department of Food and Nutrition, College of Human Ecology, Yonsei University, Seoul, Korea
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19
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Karczewska-Kupczewska M, Nikołajuk A, Majewski R, Filarski R, Stefanowicz M, Matulewicz N, Strączkowski M. Changes in adipose tissue lipolysis gene expression and insulin sensitivity after weight loss. Endocr Connect 2020; 9:90-100. [PMID: 31905163 PMCID: PMC6993275 DOI: 10.1530/ec-19-0507] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 12/22/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Insulin resistance is a major pathophysiological link between obesity and its metabolic complications. Weight loss (WL) is an effective tool to prevent obesity-related diseases; however, the mechanisms of an improvement in insulin sensitivity (IS) after weight-reducing interventions are not completely understood. The aim of the present study was to analyze the relationships between IS and adipose tissue (AT) expression of the genes involved in the regulation of lipolysis in obese subjects after WL. METHODS Fifty-two obese subjects underwent weight-reducing dietary intervention program. The control group comprised 20 normal-weight subjects, examined at baseline only. Hyperinsulinemic-euglycemic clamp and s.c. AT biopsy with subsequent gene expression analysis were performed before and after the program. RESULTS AT expression of genes encoding lipases (PNPLA2, LIPE and MGLL) and lipid-droplet proteins enhancing (ABHD5) and inhibiting lipolysis (PLIN1 and CIDEA) were decreased in obese individuals in comparison with normal-weight individuals. The group of 38 obese participants completed dietary intervention program and clamp studies, which resulted in a significant WL and an improvement in mean IS. However, in nine subjects from this group IS did not improve in response to WL. AT expression of PNPLA2, LIPE and PLIN1 increased only in the group without IS improvement. CONCLUSIONS Excessive lipolysis may prevent an improvement in IS during WL. The change in AT PNPLA2 and LIPE expression was a negative predictor of the change in IS after WL.
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Affiliation(s)
- Monika Karczewska-Kupczewska
- Department of Internal Medicine and Metabolic Diseases, Medical University of Białystok, Białystok, Poland
- Correspondence should be addressed to M Karczewska-Kupczewska:
| | - Agnieszka Nikołajuk
- Department of Prophylaxis of Metabolic Diseases, Institute of Animal Reproduction and Food Research Polish Academy of Sciences, Olsztyn, Poland
| | - Radosław Majewski
- Department of Prophylaxis of Metabolic Diseases, Institute of Animal Reproduction and Food Research Polish Academy of Sciences, Olsztyn, Poland
| | - Remigiusz Filarski
- Department of Prophylaxis of Metabolic Diseases, Institute of Animal Reproduction and Food Research Polish Academy of Sciences, Olsztyn, Poland
| | - Magdalena Stefanowicz
- Department of Metabolic Diseases, Medical University of Białystok, Białystok, Poland
| | - Natalia Matulewicz
- Department of Metabolic Diseases, Medical University of Białystok, Białystok, Poland
| | - Marek Strączkowski
- Department of Prophylaxis of Metabolic Diseases, Institute of Animal Reproduction and Food Research Polish Academy of Sciences, Olsztyn, Poland
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20
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Transcriptional profiling identifies strain-specific effects of caloric restriction and opposite responses in human and mouse white adipose tissue. Aging (Albany NY) 2019; 10:701-746. [PMID: 29708498 PMCID: PMC5940131 DOI: 10.18632/aging.101424] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 04/20/2018] [Indexed: 12/13/2022]
Abstract
Caloric restriction (CR) has been extensively studied in rodents as an intervention to improve lifespan and healthspan. However, effects of CR can be strain- and species-specific. This study used publically available microarray data to analyze expression responses to CR in males from 7 mouse strains (C57BL/6J, BALB/c, C3H, 129, CBA, DBA, B6C3F1) and 4 tissues (epididymal white adipose tissue (eWAT), muscle, heart, cortex). In each tissue, the largest number of strain-specific CR responses was identified with respect to the C57BL/6 strain. In heart and cortex, CR responses in C57BL/6 mice were negatively correlated with responses in other strains. Strain-specific CR responses involved genes associated with olfactory receptors (Olfr1184, Olfr910) and insulin/IGF-1 signaling (Igf1, Irs2). In each strain, CR responses in eWAT were negatively correlated with those in human subcutaneous WAT (scWAT). In human scWAT, CR increased expression of genes associated with stem cell maintenance and vascularization. However, orthologous genes linked to these processes were down-regulated in mouse. These results identify strain-specific CR responses limiting generalization across mouse strains. Differential CR responses in mouse versus human WAT may be due to differences in the depots examined and/or the presence of “thrifty genes” in humans that resist adipose breakdown despite caloric deficit.
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21
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Abstract
One of the biggest challenges in the management of obesity is the prevention of weight regain after successful weight loss. Weight regain after weight loss has large interindividual variation. Although many factors probably contribute to this variation, we hypothesize that variability in biological responses associated with weight loss-induced shrinking of subcutaneous adipocytes has an important role. In this Review, we show that weight loss-induced variations in cellular stress, extracellular matrix remodelling, inflammatory responses, adipokine secretion and lipolysis seem to be associated with the amount of weight that is regained after successful weight loss. Weight regain could therefore, at least in part, depend on a combination of these factors. Further research on the causality of these associations could aid the development of effective strategies to prevent weight regain after successful weight loss.
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Affiliation(s)
- Marleen A van Baak
- NUTRIM School for Nutrition and Translational Research in Metabolism, Department of Human Biology, Maastricht University, Maastricht, Netherlands.
| | - Edwin C M Mariman
- NUTRIM School for Nutrition and Translational Research in Metabolism, Department of Human Biology, Maastricht University, Maastricht, Netherlands
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22
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Key Genes of Lipid Metabolism and WNT-Signaling Are Downregulated in Subcutaneous Adipose Tissue with Moderate Weight Loss. Nutrients 2019; 11:nu11030639. [PMID: 30884788 PMCID: PMC6471921 DOI: 10.3390/nu11030639] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Accepted: 03/12/2019] [Indexed: 02/07/2023] Open
Abstract
Smaller cross-sectional studies and bariatric surgery trials suggest that weight loss may change the expression of genes in adipose tissue that have been implicated in the development of metabolic diseases, but well-powered intervention trials are lacking. In post hoc analyses of data from a 12-week dietary intervention trial initially designed to compare metabolic effects of intermittent vs. continuous calorie restriction, we analyzed the effects of overall weight loss on the subcutaneous adipose tissue (SAT) transcriptome. Changes in the transcriptome were measured by microarray using SAT samples of 138 overweight or obese individuals (age range: 35–65 years, BMI range: 25–40, non-smokers, non-diabetics). Participants were grouped post hoc according to the degree of their weight loss by quartiles (average weight loss in quartiles 1 to 4: 0%, −3.2%, −5.9%, and −10.7%). Candidate genes showing differential expression with weight loss according to microarray analyses were validated by reverse transcription quantitative polymerase chain reaction (RT-qPCR), and fold changes (FCs) were calculated to quantify differences in gene expression. A comparison of individuals in the highest vs. the lowest weight loss quartile revealed 681 genes to be differentially expressed (corrected p < 0.05), with 40 showing FCs of at least 0.4. Out of these, expression changes in secreted frizzled-related protein 2 (SFRP2, FC = 0.65, p = 0.006), stearoyl-CoA desaturase (SCD, FC = −1.00, p < 0.001), and hypoxia inducible lipid droplet-associated (HILPDA, FC = −0.45, p = 0.001) with weight loss were confirmed by RT-qPCR. Dietary weight loss induces significant changes in the expression of genes implicated in lipid metabolism (SCD and HILPDA) and WNT-signaling (SFRP2) in SAT.
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23
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Slayton M, Gupta A, Balakrishnan B, Puri V. CIDE Proteins in Human Health and Disease. Cells 2019; 8:cells8030238. [PMID: 30871156 PMCID: PMC6468517 DOI: 10.3390/cells8030238] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 03/07/2019] [Accepted: 03/09/2019] [Indexed: 12/14/2022] Open
Abstract
Cell death-Inducing DNA Fragmentation Factor Alpha (DFFA)-like Effector (CIDE) proteins have emerged as lipid droplet-associated proteins that regulate fat metabolism. There are three members in the CIDE protein family—CIDEA, CIDEB, and CIDEC (also known as fat-specific protein 27 (FSP27)). CIDEA and FSP27 are primarily expressed in adipose tissue, while CIDEB is expressed in the liver. Originally, based upon their homology with DNA fragmentation factors, these proteins were identified as apoptotic proteins. However, recent studies have changed the perception of these proteins, redefining them as regulators of lipid droplet dynamics and fat metabolism, which contribute to a healthy metabolic phenotype in humans. Despite various studies in humans and gene-targeting studies in mice, the physiological roles of CIDE proteins remains elusive. This review will summarize the known physiological role and metabolic pathways regulated by the CIDE proteins in human health and disease.
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Affiliation(s)
- Mark Slayton
- Department of Biomedical Sciences and Diabetes Institute, Ohio University Heritage College of Osteopathic Medicine, Athens, OH 45701, USA.
| | - Abhishek Gupta
- Department of Biomedical Sciences and Diabetes Institute, Ohio University Heritage College of Osteopathic Medicine, Athens, OH 45701, USA.
| | - Bijinu Balakrishnan
- Department of Biomedical Sciences and Diabetes Institute, Ohio University Heritage College of Osteopathic Medicine, Athens, OH 45701, USA.
| | - Vishwajeet Puri
- Department of Biomedical Sciences and Diabetes Institute, Ohio University Heritage College of Osteopathic Medicine, Athens, OH 45701, USA.
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24
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Ruiz-Ojeda FJ, Anguita-Ruiz A, Rupérez AI, Gomez-Llorente C, Olza J, Vázquez-Cobela R, Gil-Campos M, Bueno G, Leis R, Cañete R, Moreno LA, Gil A, Aguilera CM. Effects of X-chromosome Tenomodulin Genetic Variants on Obesity in a Children's Cohort and Implications of the Gene in Adipocyte Metabolism. Sci Rep 2019; 9:3979. [PMID: 30850679 PMCID: PMC6408551 DOI: 10.1038/s41598-019-40482-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 10/18/2018] [Indexed: 01/01/2023] Open
Abstract
Tenomodulin (TNMD) is a type II transmembrane glycoprotein that has been recently linked to obesity, and it is highly expressed in obese adipose tissue. Several sex-dependent associations have been observed between single-nucleotide polymorphisms (SNPs) of the TNMD gene, which is located in the X-chromosome, and obesity, type 2 diabetes mellitus (T2DM), and metabolic syndrome in adults. On the other hand, results are lacking for children. We aimed (i) to study the association between TNMD genetic variants and metabolic complications related to childhood obesity and (ii) to investigate the function of TNMD in human adipocytes. We conducted a case-control, multicenter study in 915 Spanish children and demonstrated significant positive associations between TNMD genetic variants and BMI z-score, waist circumference, fasting glucose, and insulin resistance in boys, highlighting the SNP rs4828038. Additionally, we showed a BMI-adjusted inverse association with waist circumference in girls. Second, in vitro experiments revealed that TNMD is involved in adipogenesis, along with glucose and lipid metabolism in differentiated adipocytes, and these effects may be mediated through AMPK activation. Hence, these results suggest that TNMD genetic variants could be potentially useful as early life risk indicators for obesity and T2DM. In addition, we support the fact that TNMD exhibits significant metabolic functions in adipocytes.
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Affiliation(s)
- Francisco Javier Ruiz-Ojeda
- Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix", Center of Biomedical Research, University of Granada, Avda. del Conocimiento s/n., 18016, Armilla, Granada, Spain. .,Instituto de Investigación Biosanitaria IBS.GRANADA, Complejo Hospitalario Universitario de Granada, Granada, 18014, Spain.
| | - Augusto Anguita-Ruiz
- Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix", Center of Biomedical Research, University of Granada, Avda. del Conocimiento s/n., 18016, Armilla, Granada, Spain.,Instituto de Investigación Biosanitaria IBS.GRANADA, Complejo Hospitalario Universitario de Granada, Granada, 18014, Spain.,Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
| | - Azahara I Rupérez
- Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix", Center of Biomedical Research, University of Granada, Avda. del Conocimiento s/n., 18016, Armilla, Granada, Spain.,Growth, Exercise, NUtrition and Development (GENUD) Research Group, Universidad de Zaragoza, Zaragoza, Spain
| | - Carolina Gomez-Llorente
- Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix", Center of Biomedical Research, University of Granada, Avda. del Conocimiento s/n., 18016, Armilla, Granada, Spain.,Instituto de Investigación Biosanitaria IBS.GRANADA, Complejo Hospitalario Universitario de Granada, Granada, 18014, Spain.,Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
| | - Josune Olza
- Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix", Center of Biomedical Research, University of Granada, Avda. del Conocimiento s/n., 18016, Armilla, Granada, Spain.,Instituto de Investigación Biosanitaria IBS.GRANADA, Complejo Hospitalario Universitario de Granada, Granada, 18014, Spain.,Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
| | - Rocío Vázquez-Cobela
- Unit of Investigation in Nutrition, Growth and Human Development of Galicia, Pediatric Department (USC), Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complexo Hospitalario Universitario de Santiago, Santiago de Compostela, Spain
| | - Mercedes Gil-Campos
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.,Department of Paediatrics, Reina Sofia University Hospital, Institute Maimónides of Biomedicine Investigation of Córdoba (IMIBIC), University of Córdoba, Avda Menéndez Pidal s/n, 14004, Córdoba, Spain
| | - Gloria Bueno
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.,Growth, Exercise, NUtrition and Development (GENUD) Research Group, Universidad de Zaragoza, Zaragoza, Spain.,Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón (IIS Aragón),, Zaragoza, Spain
| | - Rosaura Leis
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.,Unit of Investigation in Nutrition, Growth and Human Development of Galicia, Pediatric Department (USC), Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complexo Hospitalario Universitario de Santiago, Santiago de Compostela, Spain
| | - Ramón Cañete
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.,Department of Paediatrics, Reina Sofia University Hospital, Institute Maimónides of Biomedicine Investigation of Córdoba (IMIBIC), University of Córdoba, Avda Menéndez Pidal s/n, 14004, Córdoba, Spain
| | - Luis A Moreno
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.,Growth, Exercise, NUtrition and Development (GENUD) Research Group, Universidad de Zaragoza, Zaragoza, Spain.,Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón (IIS Aragón),, Zaragoza, Spain
| | - Angel Gil
- Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix", Center of Biomedical Research, University of Granada, Avda. del Conocimiento s/n., 18016, Armilla, Granada, Spain.,Instituto de Investigación Biosanitaria IBS.GRANADA, Complejo Hospitalario Universitario de Granada, Granada, 18014, Spain.,Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain
| | - Concepcion Maria Aguilera
- Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix", Center of Biomedical Research, University of Granada, Avda. del Conocimiento s/n., 18016, Armilla, Granada, Spain. .,Instituto de Investigación Biosanitaria IBS.GRANADA, Complejo Hospitalario Universitario de Granada, Granada, 18014, Spain. .,Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, 28029, Spain.
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25
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Rohde K, Keller M, la Cour Poulsen L, Blüher M, Kovacs P, Böttcher Y. Genetics and epigenetics in obesity. Metabolism 2019; 92:37-50. [PMID: 30399374 DOI: 10.1016/j.metabol.2018.10.007] [Citation(s) in RCA: 195] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 10/15/2018] [Accepted: 10/21/2018] [Indexed: 12/20/2022]
Abstract
Obesity is among the most threatening health burdens worldwide and its prevalence has markedly increased over the last decades. Obesity maybe considered a heritable trait. Identifications of rare cases of monogenic obesity unveiled that hypothalamic circuits and the brain-adipose axis play an important role in the regulation of energy homeostasis, appetite, hunger and satiety. For example, mutations in the leptin gene cause obesity through almost unsuppressed overeating. Common (multifactorial) obesity, most likely resulting from a concerted interplay of genetic, epigenetic and environmental factors, is clearly linked to genetic predisposition by multiple risk variants, which, however only account for a minor part of the general BMI variability. Although GWAS opened new avenues in elucidating the complex genetics behind common obesity, understanding the biological mechanisms relative to the specific risk contributing to obesity remains poorly understood. Non-genetic factors such as eating behavior or physical activity strongly modulate the individual risk for developing obesity. These factors may interact with genetic predisposition for obesity through epigenetic mechanisms. Thus, here, we review the current knowledge about monogenic and common (multifactorial) obesity highlighting the important recent advances in our knowledge on how epigenetic regulation is involved in the etiology of obesity.
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Affiliation(s)
- Kerstin Rohde
- Leipzig University Medical Center, IFB Adiposity Diseases, Leipzig 04103, Germany; University of Oslo, Institute of Clinical Medicine, Oslo 0316, Norway.
| | - Maria Keller
- Leipzig University Medical Center, IFB Adiposity Diseases, Leipzig 04103, Germany.
| | - Lars la Cour Poulsen
- Akershus University Hospital, Department of Clinical Molecular Biology, Medical Division, Lørenskog 1478, Norway.
| | - Matthias Blüher
- Department of Medicine, University of Leipzig, Leipzig 04103, Germany.
| | - Peter Kovacs
- Leipzig University Medical Center, IFB Adiposity Diseases, Leipzig 04103, Germany.
| | - Yvonne Böttcher
- Leipzig University Medical Center, IFB Adiposity Diseases, Leipzig 04103, Germany; University of Oslo, Institute of Clinical Medicine, Oslo 0316, Norway; Akershus University Hospital, Department of Clinical Molecular Biology, Medical Division, Lørenskog 1478, Norway.
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26
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Maimouni S, Issa N, Cheng S, Ouaari C, Cheema A, Kumar D, Byers S. Tumor suppressor RARRES1- A novel regulator of fatty acid metabolism in epithelial cells. PLoS One 2018; 13:e0208756. [PMID: 30557378 PMCID: PMC6296515 DOI: 10.1371/journal.pone.0208756] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Accepted: 11/20/2018] [Indexed: 12/31/2022] Open
Abstract
Retinoic acid receptor responder 1 (RARRES1) is silenced in many cancers and is differentially expressed in metabolism associated diseases, such as hepatic steatosis, hyperinsulinemia and obesity. Here we report a novel function of RARRES1 in metabolic reprogramming of epithelial cells. Using non-targeted LC-MS, we discovered that RARRES1 depletion in epithelial cells caused a global increase in lipid synthesis. RARRES1-depleted cells rewire glucose metabolism by switching from aerobic glycolysis to glucose-dependent de novo lipogenesis (DNL). Treatment with fatty acid synthase (FASN) inhibitor, C75, reversed the effects of RARRES1 depletion. The increased DNL in RARRES1-depleted normal breast and prostate epithelial cells proved advantageous to the cells during starvation, as the increase in fatty acid availability lead to more oxidized fatty acids (FAO), which were used for mitochondrial respiration. Expression of RARRES1 in several common solid tumors is also contextually correlated with expression of fatty acid metabolism genes and fatty acid-regulated transcription factors. Pathway enrichment analysis led us to determine that RARRES1 is regulated by peroxisome proliferating activated receptor (PPAR) signaling. These findings open up a new avenue for metabolic reprogramming and identify RARRES1 as a potential target for cancers and other diseases with impaired fatty acid metabolism.
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Affiliation(s)
- Sara Maimouni
- Department of Biochemical, Molecular and Cellular Biology, Georgetown University, Washington, District of Columbia, United States of America
| | - Naiem Issa
- Georgetown-Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, District of Columbia, United States of America
| | - Selina Cheng
- Georgetown-Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, District of Columbia, United States of America
| | - Chokri Ouaari
- Georgetown-Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, District of Columbia, United States of America
- University of the District of Columbia, Washington, District of Columbia, United States of America
| | - Amrita Cheema
- Georgetown-Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, District of Columbia, United States of America
| | - Deepak Kumar
- Julius L. Chambers Biomedical Biotechnology Research Institute, North Carolina Central University, Durham, North Carolina, United States of America
| | - Stephen Byers
- Department of Biochemical, Molecular and Cellular Biology, Georgetown University, Washington, District of Columbia, United States of America
- Georgetown-Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, District of Columbia, United States of America
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Bianchi VE. Weight loss is a critical factor to reduce inflammation. Clin Nutr ESPEN 2018; 28:21-35. [DOI: 10.1016/j.clnesp.2018.08.007] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 08/14/2018] [Indexed: 01/14/2023]
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Huang JV, Cardenas A, Colicino E, Schooling CM, Rifas-Shiman SL, Agha G, Zheng Y, Hou L, Just AC, Litonjua AA, DeMeo DL, Lin X, Oken E, Hivert MF, Baccarelli AA. DNA methylation in blood as a mediator of the association of mid-childhood body mass index with cardio-metabolic risk score in early adolescence. Epigenetics 2018; 13:1072-1087. [PMID: 30412002 PMCID: PMC6342073 DOI: 10.1080/15592294.2018.1543503] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 09/20/2018] [Accepted: 10/22/2018] [Indexed: 12/16/2022] Open
Abstract
Obesity is associated with higher cardio-metabolic risk even in childhood and adolescence; whether this association is mediated by epigenetic mechanisms remains unclear. We examined the extent to which mid-childhood body mass index (BMI) z-score (median age 7.7 years) was associated with cardio-metabolic risk score in early adolescence (median age 12.9 years) via mid-childhood DNA methylation among 265 children in the Project Viva. We measured DNA methylation in leukocytes using the Infinium Human Methylation450K BeadChip. We assessed mediation CpG-by-CpG using epigenome-wide association analyses, high-dimensional mediation analysis, and natural effect models. We observed mediation by mid-childhood DNA methylation at 6 CpGs for the association between mid-childhood BMI z-score and cardio-metabolic risk score in early adolescence in the high-dimensional mediation analysis (accounting for 10% of the total effect) and in the natural effect model (β = 0.04, P = 3.2e-2, accounting for 13% of the total effect). The natural direct effect of BMI z-score on cardio-metabolic risk score was still evident (β = 0.27, P = 1.1e-25). We also observed mediation by mid-childhood DNA methylation at 5 CpGs that was in the opposite direction from the total effect (natural effect model: β = -0.04, P = 2.0e-2). Mediation in different directions implies a complex role of DNA methylation in the association between BMI and cardio-metabolic risk and needs further investigation. Future studies with larger sample size and greater variability in cardio-metabolic risk will further help elucidate the role of DNA methylation for cardio-metabolic risk.
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Affiliation(s)
- Jian V. Huang
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, NY, NY, USA
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, People’s Republic of China
| | - Andres Cardenas
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Elena Colicino
- Department of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - C. Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, People’s Republic of China
- Graduate School of Public Health and Health Policy, City University of New York, New York, USA
| | - Sheryl L. Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Golareh Agha
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, NY, NY, USA
| | - Yinan Zheng
- Center for Population Epigenetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Allan C. Just
- Department of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, NY, NY, USA
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29
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Sun D, Heianza Y, Li X, Shang X, Smith SR, Bray GA, Sacks FM, Qi L. Genetic, epigenetic and transcriptional variations at NFATC2IP locus with weight loss in response to diet interventions: The POUNDS Lost Trial. Diabetes Obes Metab 2018; 20:2298-2303. [PMID: 29693310 PMCID: PMC6105429 DOI: 10.1111/dom.13333] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Revised: 04/12/2018] [Accepted: 04/19/2018] [Indexed: 01/06/2023]
Abstract
DNA Methylation of NFATC2IP was recently identified as being causally related to body mass index. The present study aimed to examine the roles of the genetic variation, methylation and gene expression at this locus in adiposity changes in a 2-year weight-loss trial. Participants (n = 692) were genotyped and randomly assigned to 1 of the 4 reduced-calorie diets, DNA methylation was derived from stored blood samples at baseline (n = 48), and adipose tissue gene expression was measured in 96 volunteers. We found significant interactions of fat intake with the genetic (rs11150675) and transcriptional (ILMN_1725441) variations at the NFATC2IP locus on 2-year weight change (Pinteraction < .01). Similarly, cis-DNA methylation at cg26663590 of the NFATC2IP locus showed an opposite impact on weight-loss in response to high-fat vs low-fat diet (effect size, 4.62 vs -1.24 kg). Additionally, baseline methylation at cg26663590 causally mediated 52.8% of the effect of rs11150675 on 2-year weight-loss in the high-fat diet group (P = .01), whereas no such mediation was observed in the low-fat diet group. Our findings suggest potentially causal effects of genetic, epigenetic and transcriptional variations at the NFATC2IP locus on adiposity changes in response to dietary fat intake.
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Affiliation(s)
- Dianjianyi Sun
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | | | - Steven R. Smith
- Translational Research Institute (TRI), Florida Hospital, Orlando, FL
| | - George A. Bray
- Pennington Biomedical Research Center/LSU, Baton Rouge, LA, USA
| | - Frank M. Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
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The changes in the transcriptomic profiling of subcutaneous adipose tissue after bariatric surgery depend on the insulin resistance state. Surg Obes Relat Dis 2018; 14:1182-1191. [DOI: 10.1016/j.soard.2018.04.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 04/13/2018] [Accepted: 04/16/2018] [Indexed: 11/17/2022]
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31
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Allison KC, Goel N. Timing of eating in adults across the weight spectrum: Metabolic factors and potential circadian mechanisms. Physiol Behav 2018; 192:158-166. [PMID: 29486170 PMCID: PMC6019166 DOI: 10.1016/j.physbeh.2018.02.047] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 02/23/2018] [Accepted: 02/23/2018] [Indexed: 12/21/2022]
Abstract
Timing of eating is recognized as a significant contributor to body weight regulation. Disruption of sleep-wake cycles from a predominantly diurnal (daytime) to a delayed (evening) lifestyle leads to altered circadian rhythms and metabolic dysfunction. This article reviews current evidence for timed and delayed eating in individuals of normal weight and those with overweight or obesity: although some findings indicate a benefit of eating earlier in the daytime on weight and/or metabolic outcomes, results have not been uniformly consistent, and more rigorous and longer-duration studies are needed. We also review potential circadian mechanisms underlying the metabolic- and weight-related changes resulting from timed and delayed eating. Further identification of such mechanisms using deep phenotyping is required to determine targets for medical interventions for obesity and for prevention of metabolic syndrome and diabetes, and to inform clinical guidelines regarding eating schedules for management of weight and metabolic disease.
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Affiliation(s)
- Kelly C Allison
- Center for Weight and Eating Disorders, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
| | - Namni Goel
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
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Aronica L, Levine AJ, Brennan K, Mi J, Gardner C, Haile RW, Hitchins MP. A systematic review of studies of DNA methylation in the context of a weight loss intervention. Epigenomics 2018; 9:769-787. [PMID: 28517981 DOI: 10.2217/epi-2016-0182] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
AIM Obesity results from the interaction of genetic and environmental factors, which may involve epigenetic mechanisms such as DNA methylation (DNAm). MATERIALS & METHODS We have followed the PRISMA protocol to select studies that analyzed DNAm at baseline and end point of a weight loss intervention using either candidate-locus or genome-wide approaches. RESULTS Six genes displayed weight loss associated DNAm across four out of nine genome-wide studies. Weight loss is associated with significant but small changes in DNAm across the genome, and weight loss outcome is associated with individual differences in baseline DNAm at several genomic locations. CONCLUSION The identified weight loss associated DNAm markers, especially those showing reproducibility across different studies, warrant validation by further studies with robust design and adequate power.
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Affiliation(s)
- Lucia Aronica
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA 94305, USA
| | - A Joan Levine
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Kevin Brennan
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Jeffrey Mi
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Christopher Gardner
- Department of Medicine, Stanford Prevention Research Center, Stanford University, Stanford, CA 94305, USA
| | - Robert W Haile
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Megan P Hitchins
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA 94305, USA
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Hao RH, Yang TL, Rong Y, Yao S, Dong SS, Chen H, Guo Y. Gene expression profiles indicate tissue-specific obesity regulation changes and strong obesity relevant tissues. Int J Obes (Lond) 2017; 42:363-369. [PMID: 29151593 DOI: 10.1038/ijo.2017.283] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 10/12/2017] [Accepted: 10/30/2017] [Indexed: 12/16/2022]
Abstract
BACKGROUND With the growing evidence that other tissues, apart from adipose, could have strong relevance to obesity, it is necessary to comprehensively understand the relationship between obesity and other tissues, and to point out the most relevant tissues. METHODS There were 549 participants with 20 different tissue types involved in this study. We firstly employed both Spearman's correlation test and WGCNA (weighted correlation network analysis) to identify body mass index (BMI)-related genes. Subsequently, we performed enrichment analyses with obesity genes and pathways to see the different regulation patterns among tissues. In addition, we compared obesity genes identified by genome-wide association studies (GWAS) with BMI-related genes to find the overlapping proportion in each tissue. Finally, we integrated preceding results to identify six strong obesity relevant tissues and indicate three categories to represent different obesity relevant tissues. RESULTS Statistical analyses revealed diverse BMI-related genes and tissue-specific enrichment patterns among tissues. Comparison between BMI-related genes and GWAS findings showed tissue-specific expression changes of GWAS genes. Ultimately, six tissues that showed predominant performance in enrichment analyses and significantly embraced GWAS genes were referred to as strong obesity relevant tissues, including adipose, esophagus, nerve, pancreas, pituitary and skin. We also proposed three categories to represent different obesity relevant tissues. CONCLUSIONS We performed the first study to investigate the BMI-related gene expression changes across 20 tissues at the same time. With valid data analyses and comparison with GWAS findings, our study provides a holistic view of how different tissues correlate with obesity, and proposes target tissues for obesity pathogenesis investigation.
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Affiliation(s)
- R-H Hao
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, PR China
| | - T-L Yang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, PR China
| | - Y Rong
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, PR China
| | - S Yao
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, PR China
| | - S-S Dong
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, PR China
| | - H Chen
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, PR China
| | - Y Guo
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, PR China
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Tenomodulin is essential for prevention of adipocyte accumulation and fibrovascular scar formation during early tendon healing. Cell Death Dis 2017; 8:e3116. [PMID: 29022912 PMCID: PMC5682675 DOI: 10.1038/cddis.2017.510] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Revised: 07/19/2017] [Accepted: 07/20/2017] [Indexed: 01/08/2023]
Abstract
Tenomodulin (Tnmd) is the best-known mature marker for tendon and ligament lineage cells. It is important for tendon maturation, running performance and has key implications for the resident tendon stem/progenitor cells (TSPCs). However, its exact functions during the tendon repair process still remain elusive. Here, we established an Achilles tendon injury model in a Tnmd knockout (Tnmd−/−) mouse line. Detailed analyses showed not only a very different scar organization with a clearly reduced cell proliferation and expression of certain tendon-related genes, but also increased cell apoptosis, adipocyte and blood vessel accumulation in the early phase of tendon healing compared with their wild-type (WT) littermates. In addition, Tnmd−/− tendon scar tissue contained augmented matrix deposition of biglycan, cartilage oligomeric matrix protein (Comp) and fibronectin, altered macrophage profile and reduced numbers of CD146-positive cells. In vitro analysis revealed that Tnmd−/− TSPCs exhibited significantly reduced migration and proliferation potential compared with that of WT TSPCs. Furthermore, Tnmd−/− TSPCs had accelerated adipogenic differentiation accompanied with significantly increased peroxisome proliferator-activated receptor gamma (Pparγ) and lipoprotein lipase (Lpl) mRNA levels. Thus, our results demonstrate that Tnmd is required for prevention of adipocyte accumulation and fibrovascular scar formation during early tendon healing.
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Subcutaneous adipose tissue gene expression and DNA methylation respond to both short- and long-term weight loss. Int J Obes (Lond) 2017; 42:412-423. [PMID: 28978976 DOI: 10.1038/ijo.2017.245] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 08/24/2017] [Accepted: 09/26/2017] [Indexed: 12/16/2022]
Abstract
BACKGROUND Few studies have examined both gene expression and DNA methylation profiles in subcutaneous adipose tissue (SAT) during long-term weight loss. Thus, molecular mechanisms in weight loss and regain remain elusive. PARTICIPANTS/METHODS We performed a 1-year weight loss intervention on 19 healthy obese participants (mean body mass index (BMI) 34.6 kg m-2) and studied longitudinal gene expression (Affymetrix Human Genome U133 Plus 2.0) and DNA methylation (Infinium HumanMethylation450 BeadChip) in SAT at 0, 5 and 12 months. To examine whether weight loss and acquired obesity produce reciprocal profiles, we verified our findings in 26 BMI-discordant monozygotic twin pairs. RESULTS We found altered expression of 69 genes from 0 to 5' months (short-term) weight loss. Sixty of these genes showed reversed expression in acquired obesity (twins). Altogether 21/69 genes showed significant expression-DNA methylation correlations. Pathway analyses revealed increased high-density lipoprotein-mediated lipid transport characteristic to short-term weight loss. After the fifth month, two groups of participants evolved: weight losers (WLs) and weight regainers (WRs). In WLs five genes were differentially expressed in 5 vs 12 months, three of which significantly correlated with methylation. Signaling by insulin receptor pathway showed increased expression. We further identified 35 genes with differential expression in WLs from 0 to 12 months (long-term) weight loss, with 20 showing opposite expression patterns in acquired obesity, and 16/35 genes with significant expression-DNA methylation correlations. Pathway analyses demonstrated changes in signal transduction, metabolism, immune system and cell cycle. Notably, seven genes (UCHL1, BAG3, TNMD, LEP, BHMT2, EPDR1 and OSTM1) were found to be downregulated during both short- and long-term weight loss. CONCLUSIONS Our study indicates short- and long-term weight loss influences in transcription and DNA methylation in SAT of healthy participants. Moreover, we demonstrate that same genes react in an opposite manner in weight loss and acquired obesity.
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Critical Role of the Human ATP-Binding Cassette G1 Transporter in Cardiometabolic Diseases. Int J Mol Sci 2017; 18:ijms18091892. [PMID: 28869506 PMCID: PMC5618541 DOI: 10.3390/ijms18091892] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 08/30/2017] [Accepted: 08/30/2017] [Indexed: 12/15/2022] Open
Abstract
ATP-binding cassette G1 (ABCG1) is a member of the large family of ABC transporters which are involved in the active transport of many amphiphilic and lipophilic molecules including lipids, drugs or endogenous metabolites. It is now well established that ABCG1 promotes the export of lipids, including cholesterol, phospholipids, sphingomyelin and oxysterols, and plays a key role in the maintenance of tissue lipid homeostasis. Although ABCG1 was initially proposed to mediate cholesterol efflux from macrophages and then to protect against atherosclerosis and cardiovascular diseases (CVD), it becomes now clear that ABCG1 exerts a larger spectrum of actions which are of major importance in cardiometabolic diseases (CMD). Beyond a role in cellular lipid homeostasis, ABCG1 equally participates to glucose and lipid metabolism by controlling the secretion and activity of insulin and lipoprotein lipase. Moreover, there is now a growing body of evidence suggesting that modulation of ABCG1 expression might contribute to the development of diabetes and obesity, which are major risk factors of CVD. In order to provide the current understanding of the action of ABCG1 in CMD, we here reviewed major findings obtained from studies in mice together with data from the genetic and epigenetic analysis of ABCG1 in the context of CMD.
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De Marinis Y, Sun J, Bompada P, Domènech Omella J, Luan C, Halu A, Renström E, Sharma A, Ridderstråle M. Regulation of Nuclear Receptor Interacting Protein 1 (NRIP1) Gene Expression in Response to Weight Loss and Exercise in Humans. Obesity (Silver Spring) 2017; 25:1400-1409. [PMID: 28656645 DOI: 10.1002/oby.21899] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 04/20/2017] [Accepted: 05/11/2017] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Nuclear receptor interacting protein 1 (NRIP1) is an important energy regulator, but few studies have addressed its role in humans. This study investigated adipose tissue and skeletal muscle NRIP1 gene expression and serum levels in response to weight loss and exercise in humans. METHODS NRIP1 expression was measured by microarray and serum NRIP1 by ELISA and Western blotting. Skeletal muscle transcriptomes were analyzed from Gene Expression Omnibus databases. Network-based proximity analysis was performed on the proximity of NRIP1 interacting genes in the human interactome. RESULTS In patients with obesity, adipose tissue NRIP1 mRNA expression increased during weight loss and weight maintenance and showed strong associations with metabolic markers and anthropometric parameters. Serum NRIP1 protein levels also increased after weight loss. In skeletal muscle, imposed rest increased NRIP1 expression by 80%, and strength training increased expression by ∼25% compared to baseline. Following rest, NRIP1 expression became sensitive to insulin stimulation. After re-training, NRIP1 expression decreased. Interactome analysis showed significant proximity of NRIP1 interacting partners to the obesity network/module. CONCLUSIONS NRIP1 gene expression and serum levels are strongly associated with metabolic states such as obesity, weight loss, different types of exercise, and peripheral tissue insulin resistance, potentially as a mediator of sedentary effects.
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Affiliation(s)
- Yang De Marinis
- Diabetes and Endocrinology, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Jiangming Sun
- Clinical Obesity Research, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Pradeep Bompada
- Diabetes and Endocrinology, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Judit Domènech Omella
- Diabetes and Endocrinology, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Cheng Luan
- Islet Pathophysiology, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Arda Halu
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Erik Renström
- Islet Pathophysiology, Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Amitabh Sharma
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Center for Complex Network Research, Department of Physics, Northeastern University, Boston, Massachusetts, USA
- Center for Cancer Systems Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Martin Ridderstråle
- Clinical Obesity Research, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Steno Diabetes Center A/S, Gentofte, Denmark
- Novo Nordisk A/S, Søborg, Denmark
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Geidenstam N, Al-Majdoub M, Ekman M, Spégel P, Ridderstråle M. Metabolite profiling of obese individuals before and after a one year weight loss program. Int J Obes (Lond) 2017; 41:1369-1378. [PMID: 28529327 DOI: 10.1038/ijo.2017.124] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 04/19/2017] [Accepted: 05/03/2017] [Indexed: 11/09/2022]
Abstract
OBJECTIVE We and others have previously characterized changes in circulating metabolite levels following diet-induced weight loss. Our aim was to investigate whether baseline metabolite levels and weight-loss-induced changes in these are predictive of or associated with changes in body mass index (BMI) and metabolic risk traits. METHODS Serum metabolites were analyzed with gas and liquid chromatography/mass spectrometry in 91 obese individuals at baseline and after participating in a 1 year non-surgical weight loss program.ResultsA total of 137 metabolites were identified and semi-quantified at baseline (BMI 42.7±5.8, mean±s.d.) and at follow-up (BMI 36.3±6.6). Weight-loss-induced modification was observed for levels of 57 metabolites in individuals with ⩾10% weight loss. Lower baseline levels of xylitol was predictive of a greater decrease in BMI (β=0.06, P<0.01) and ⩾10% weight loss (odds ratio (OR)=0.2, confidence interval (CI)=0.07-0.7, P=0.01). Decreases in levels of isoleucine, leucine, valine and tyrosine were associated with decrease in BMI (β>0.1, P<0.05) and ⩾10% weight loss (isoleucine: OR=0.08, CI=0.01-0.3, leucine: OR=0.1, CI=0.01-0.6, valine: OR=0.1, CI=0.02-0.5, tyrosine: OR=0.1, CI=0.03-0.6, P<0.02). CONCLUSIONS Diet-induced weight loss leads to mainly reduced levels of metabolites that are elevated in obese insulin resistant individuals. We identified multiple new associations with metabolic risk factors and validated several previous findings related to weight loss-mediated metabolite changes. Levels of specific metabolites, such as xylitol, may be predictive of the response to non-surgical weight loss already at baseline.
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Affiliation(s)
- N Geidenstam
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - M Al-Majdoub
- Department of Clinical Sciences Malmö, Unit of Molecular Metabolism, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - M Ekman
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - P Spégel
- Department of Clinical Sciences Malmö, Unit of Molecular Metabolism, Lund University Diabetes Center, Lund University, Malmö, Sweden.,Department of Chemistry, Centre for Analysis and Synthesis, Lund University, Lund, Sweden
| | - M Ridderstråle
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden.,Steno Diabetes Center A/S, Gentofte, Denmark.,Novo Nordisk A/S, Søborg, Denmark
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A Systems Genetics Approach Identified GPD1L and its Molecular Mechanism for Obesity in Human Adipose Tissue. Sci Rep 2017; 7:1799. [PMID: 28496128 PMCID: PMC5431993 DOI: 10.1038/s41598-017-01517-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 03/27/2017] [Indexed: 01/14/2023] Open
Abstract
To explore novel molecular mechanisms underlying obesity, we applied a systems genetics framework to integrate risk genetic loci from the largest body mass index (BMI) genome-wide association studies (GWAS) meta-analysis with mRNA and microRNA profiling in adipose tissue from 200 subjects. One module was identified to be most significantly associated with obesity and other metabolic traits. We identified eight hub genes which likely play important roles in obesity metabolism and identified microRNAs that significantly negatively correlated with hub genes. This module was preserved in other three test gene expression datasets, and all hub genes were consistently downregulated in obese subjects through the meta-analysis. Gene GPD1L had the highest connectivity and was identified a key causal regulator in the module. Gene GPD1L was significantly negatively correlated with the expression of miR-210, which was experimentally validated that miR-210 regulated GPD1L protein level through direct interaction with its mRNA three prime untranslated region (3'-UTR). GPD1L was found to be upregulated during weight loss and weight maintenance induced by low calorie diet (LCD), while downregulated during weight gain induced by high-fat diet (HFD). The results indicated that increased GPD1L in adipose tissue may have a significant therapeutic potential in reducing obesity and insulin resistance.
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Roumans NJ, Vink RG, Fazelzadeh P, van Baak MA, Mariman EC. A role for leukocyte integrins and extracellular matrix remodeling of adipose tissue in the risk of weight regain after weight loss. Am J Clin Nutr 2017; 105:1054-1062. [PMID: 28298393 DOI: 10.3945/ajcn.116.148874] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 02/13/2017] [Indexed: 12/16/2022] Open
Abstract
Background: Weight loss (WL) is often followed by weight regain after an energy-restricted dietary intervention (DI). When people are following a diet, the volume of an adipocyte decreases by loss of triglycerides, which creates stress between the cell contents and the surrounding extracellular matrix (ECM). Previously, we observed that genetic variations in ECM genes are associated with an increased risk of weight regain.Objective: We investigated the relation between the expression of ECM genes during WL and a period of weight stabilization (WS) and the risk of weight regain.Design: In this randomized controlled trial, 61 healthy overweight or obese participants followed either a 5-wk very-low-calorie diet (VLCD; 500 kcal/d) or a 12-wk low-calorie diet (1250 kcal/d) (WL period) with a subsequent 4-wk WS period and a 9-mo follow-up. The WL and WS periods combined were considered the DI. Abdominal subcutaneous adipose tissue biopsy samples were collected for microarray analysis. Gene expression changes for a broad set of ECM-related genes were correlated with the weight-regain percentage (WR%).Results: A total of 26 of the 277 genes were significantly correlated with WR% during WL, WS, or the DI periods. Most correlations were observed in the VLCD group during the WS period. Four genes code for leukocyte-specific receptors. These and other genes belong to a group of 26 genes, among which the expression changes were highly correlated (r ≥ 0.7, P ≤ 0.001). This group could be divided into 3 subclusters linking to 2 biological processes-leukocyte integrin gene activity and ECM remodeling-and a link to insulin sensitivity was also apparent.Conclusions: Our present findings indicate the importance of adipose tissue leukocytes for the risk of weight regain. ECM modification also seems to be involved, and we observed a link to insulin sensitivity. This trial was registered at clinicaltrials.gov as NCT01559415.
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Affiliation(s)
- Nadia Jt Roumans
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, Netherlands; and
| | - Roel G Vink
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, Netherlands; and
| | - Parastoo Fazelzadeh
- Nutrition, Metabolism, and Genomics Group, Division of Human Nutrition, Wageningen University, Wageningen, Netherlands
| | - Marleen A van Baak
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, Netherlands; and
| | - Edwin Cm Mariman
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, Netherlands; and
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Mentzel CMJ, Cardoso TF, Lex AMJ, Sørensen DB, Fredholm M, Cirera S. Fat and carbohydrate content in the diet induces drastic changes in gene expression in young Göttingen minipigs. Mamm Genome 2017; 28:166-175. [PMID: 28396939 DOI: 10.1007/s00335-017-9690-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 04/04/2017] [Indexed: 12/20/2022]
Abstract
In human health, there is interest in developing specific diets to reduce body weight. These studies are mainly focused on phenotypic changes induced in blood measurements, i.e., triglycerides, HDL, LDL, and insulin, and on physical changes, i.e., body weight and BMI. To evaluate the biological impact of diet interventions, it is very important to investigate the molecular mechanisms driving the diet-induced phenotypic changes in relevant tissues. However, studying these effects in humans is difficult due to ethical concerns in doing interventions and obtaining tissue samples and good animal models are therefore needed. Göttingen minipigs, a small size obesity prone pig breed, have previously been shown to be a useful translational animal model for metabolic studies. In this study, 16 Göttingen minipig males (2-month old) were submitted to 13 weeks of differential diets to investigate the initial stages of diet-induced metabolic changes. Half of them were fed a high-fat/cholesterol, low-carbohydrate (HFLC) diet, and the other half were fed a low- fat/cholesterol, high-carbohydrate (LFHC) diet. After 13 weeks, the HFLC group weighted less and had dyslipidemia compared to the LFHC group. Liver, pancreas, and adipose tissues were collected at slaughter. Gene expression profiling of 83 metabolism-relevant genes was performed using high-throughput qPCR. In total, 41 genes were deregulated in at least one of the five tissues analyzed, with liver being the most drastically affected tissue. The new knowledge gained in this study could potentially be of value for considering direct modulation of gene expression by nutrient content in the diet.
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Affiliation(s)
- Caroline M Junker Mentzel
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Tainã Figueiredo Cardoso
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark.,Department of Animal Genetics, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - Annika M J Lex
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Dorte Bratbo Sørensen
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Merete Fredholm
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Susanna Cirera
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark.
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The impact of protein quantity during energy restriction on genome-wide gene expression in adipose tissue of obese humans. Int J Obes (Lond) 2017; 41:1114-1120. [PMID: 28337029 DOI: 10.1038/ijo.2017.76] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Revised: 01/24/2017] [Accepted: 02/18/2017] [Indexed: 12/28/2022]
Abstract
BACKGROUND Overweight and obesity is a growing health problem worldwide. The most effective strategy to reduce weight is energy restriction (ER). ER has been shown to be beneficial in disease prevention and it reduces chronic inflammation. Recent studies suggest that reducing the protein quantity of a diet contributes to the beneficial effects by ER. The organ most extensively affected during ER is white adipose tissue (WAT). OBJECTIVE The first objective was to assess changes in gene expression between a high-protein diet and a normal protein diet during ER. Second, the total effect of ER on changes in gene expression in WAT was assessed. METHODS In a parallel double-blinded controlled study, overweight older participants adhered to a 25% ER diet, either combined with high-protein intake (HP-ER, 1.7 g kg-1 per day), or with normal protein intake (NP-ER, 0.9 g kg-1 per day) for 12 weeks. From 10 HP-ER participants and 12 NP-ER participants subcutaneous WAT biopsies were collected before and after the diet intervention. Adipose tissue was used to isolate total RNA and to evaluate whole-genome gene expression changes upon a HP-ER and NP-ER diet. RESULTS A different gene expression response between HP-ER and NP-ER was observed for 530 genes. After NP-ER, a downregulation in expression of genes linked to immune cell infiltration, adaptive immune response and inflammasome was found, whereas no such effect was found after HP-ER. HP-ER resulted in upregulation in expression of genes linked to cell cycle, GPCR signalling, olfactory signalling and nitrogen metabolism. Upon 25% ER, gene sets related to energy metabolism and immune response were decreased. CONCLUSIONS Based on gene expression changes, we concluded that consumption of normal protein quantity compared with high-protein quantity during ER has a more beneficial effect on inflammation-related gene expression in WAT.
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Vink RG, Roumans NJ, Čajlaković M, Cleutjens JPM, Boekschoten MV, Fazelzadeh P, Vogel MAA, Blaak EE, Mariman EC, van Baak MA, Goossens GH. Diet-induced weight loss decreases adipose tissue oxygen tension with parallel changes in adipose tissue phenotype and insulin sensitivity in overweight humans. Int J Obes (Lond) 2017; 41:722-728. [PMID: 28179648 DOI: 10.1038/ijo.2017.38] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 01/16/2017] [Accepted: 01/20/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND/OBJECTIVES Although adipose tissue (AT) hypoxia is present in rodent models of obesity, evidence for this in humans is limited. Here, we investigated the effects of diet-induced weight loss (WL) on abdominal subcutaneous AT oxygen tension (pO2), AT blood flow (ATBF), AT capillary density, AT morphology and transcriptome, systemic inflammatory markers and insulin sensitivity in humans. SUBJECTS/METHODS Fifteen overweight and obese individuals underwent a dietary intervention (DI), consisting of a 5-week very-low-calorie diet (VLCD, 500 kcal day-1; WL), and a subsequent 4-week weight stable diet (WS). Body composition, AT pO2 (optochemical monitoring), ATBF (133Xe washout), and whole-body insulin sensitivity were determined, and AT biopsies were collected at baseline, end of WL (week 5) and end of WS (week 9). RESULTS Body weight, body fat percentage and adipocyte size decreased significantly during the DI period. The DI markedly decreased AT pO2 and improved insulin sensitivity, but did not alter ATBF. Finally, the DI increased AT gene expression of pathways related to mitochondrial biogenesis and non-mitochondrial oxygen consumption. CONCLUSIONS VLCD-induced WL markedly decreases abdominal subcutaneous AT pO2, which is paralleled by a reduction in adipocyte size, increased AT gene expression of mitochondrial biogenesis markers and non-mitochondrial oxygen consumption pathways, and improved whole-body insulin sensitivity in humans.
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Affiliation(s)
- R G Vink
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - N J Roumans
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - M Čajlaković
- Joanneum Research Forschungsgesellschaft mbH, MATERIALS - Institute for Surface Technologies and Photonic, Sensorsystems, Weiz, Austria
| | - J P M Cleutjens
- Department of Pathology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - M V Boekschoten
- Nutrition, Metabolism and Genomics Group, Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - P Fazelzadeh
- Nutrition, Metabolism and Genomics Group, Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - M A A Vogel
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - E E Blaak
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - E C Mariman
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - M A van Baak
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - G H Goossens
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands
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Branched-chain amino acids are associated with odd-chain fatty acids in normoglycaemic individuals. DIABETES & METABOLISM 2017; 43:475-479. [PMID: 28089371 DOI: 10.1016/j.diabet.2016.12.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Revised: 11/23/2016] [Accepted: 12/01/2016] [Indexed: 12/23/2022]
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Palmisano BT, Zhu L, Stafford JM. Role of Estrogens in the Regulation of Liver Lipid Metabolism. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 1043:227-256. [PMID: 29224098 DOI: 10.1007/978-3-319-70178-3_12] [Citation(s) in RCA: 229] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Before menopause, women are protected from atherosclerotic heart disease associated with obesity relative to men. Sex hormones have been proposed as a mechanism that differentiates this risk. In this review, we discuss the literature around how the endogenous sex hormones and hormone treatment approaches after menopause regulate fatty acid, triglyceride, and cholesterol metabolism to influence cardiovascular risk.The important regulatory functions of estrogen signaling pathways with regard to lipid metabolism have been in part obscured by clinical trials with hormone treatment of women after menopause, due to different formulations, routes of delivery, and pairings with progestins. Oral hormone treatment with several estrogen preparations increases VLDL triglyceride production. Progestins oppose this effect by stimulating VLDL clearance in both humans and animals. Transdermal estradiol preparations do not increase VLDL production or serum triglycerides.Many aspects of sex differences in atherosclerotic heart disease risk are influenced by the distributed actions of estrogens in the muscle, adipose, and liver. In humans, 17β-estradiol (E2) is the predominant circulating estrogen and signals through estrogen receptor alpha (ERα), estrogen receptor beta (ERβ), and G-protein-coupled estrogen receptor (GPER). Over 1000 human liver genes display a sex bias in their expression, and the top biological pathways are in lipid metabolism and genes related to cardiovascular disease. Many of these genes display variation depending on estrus cycling in the mouse. Future directions will likely rely on targeting estrogens to specific tissues or specific aspects of the signaling pathways in order to recapitulate the protective physiology of premenopause therapeutically after menopause.
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Affiliation(s)
- Brian T Palmisano
- Tennessee Valley Healthcare System, Veterans Affairs, Nashville, TN, USA.,Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA.,Division of Endocrinology, Diabetes and Metabolism, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lin Zhu
- Tennessee Valley Healthcare System, Veterans Affairs, Nashville, TN, USA.,Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - John M Stafford
- Tennessee Valley Healthcare System, Veterans Affairs, Nashville, TN, USA. .,Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA. .,Division of Endocrinology, Diabetes and Metabolism, Vanderbilt University Medical Center, Nashville, TN, USA.
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46
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Geidenstam N, Magnusson M, Danielsson APH, Gerszten RE, Wang TJ, Reinius LE, Mulder H, Melander O, Ridderstråle M. Amino Acid Signatures to Evaluate the Beneficial Effects of Weight Loss. Int J Endocrinol 2017; 2017:6490473. [PMID: 28484491 PMCID: PMC5412138 DOI: 10.1155/2017/6490473] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Revised: 02/10/2017] [Accepted: 02/27/2017] [Indexed: 11/17/2022] Open
Abstract
Aims. We investigated the relationship between circulating amino acid levels and obesity; to what extent weight loss followed by weight maintenance can correct amino acid abnormalities; and whether amino acids are related to weight loss. Methods. Amino acids associated with waist circumference (WC) and BMI were studied in 804 participants from the Malmö Diet and Cancer Cardiovascular Cohort (MDC-CC). Changes in amino acid levels were analyzed after weight loss and weight maintenance in 12 obese subjects and evaluated in a replication cohort (n = 83). Results. Out of the eight identified BMI-associated amino acids from the MDC-CC, alanine, isoleucine, tyrosine, phenylalanine, and glutamate decreased after weight loss, while asparagine increased after weight maintenance. These changes were validated in the replication cohort. Scores that were constructed based on obesity-associated amino acids and known risk factors decreased in the ≥10% weight loss group with an associated change in BMI (R2 = 0.16-0.22, p < 0.002), whereas the scores increased in the <10% weight loss group (p < 0.0004). Conclusions. Weight loss followed by weight maintenance leads to differential changes in amino acid levels associated with obesity. Treatment modifiable scores based on epidemiological and interventional data may be used to evaluate the potential metabolic benefit of weight loss.
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Affiliation(s)
- Nina Geidenstam
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
- *Nina Geidenstam:
| | - Martin Magnusson
- Department of Cardiology, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Anders P. H. Danielsson
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - Robert E. Gerszten
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Thomas J. Wang
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lovisa E. Reinius
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
- Department of Biosciences and Nutrition, Center for Innovative Medicine, Karolinska Institute, Stockholm, Sweden
| | - Hindrik Mulder
- Department of Clinical Sciences Malmö, Molecular Metabolism, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - Olle Melander
- Department of Cardiology, Skåne University Hospital, Malmö, Sweden
- Center of Emergency Medicine, Skåne University Hospital, Malmö, Sweden
| | - Martin Ridderstråle
- Department of Clinical Sciences Malmö, Clinical Obesity, Lund University Diabetes Center, Lund University, Malmö, Sweden
- Steno Diabetes Center A/S, Gentofte, Denmark
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Zhao L, Ni Y, Yu H, Zhang P, Zhao A, Bao Y, Liu J, Chen T, Xie G, Panee J, Chen W, Rajani C, Wei R, Su M, Jia W, Jia W. Serum stearic acid/palmitic acid ratio as a potential predictor of diabetes remission after Roux-en-Y gastric bypass in obesity. FASEB J 2016; 31:1449-1460. [PMID: 28007782 DOI: 10.1096/fj.201600927r] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 12/12/2016] [Indexed: 12/18/2022]
Abstract
Endogenous fatty acid metabolism that results in elongation and desaturation lipid products is thought to play a role in the development of type 2 diabetes mellitus (T2DM). In this study, we evaluated the potential of estimated elongase and desaturase activities for use as predictive markers for T2DM remission after Roux-en-Y gastric bypass (RYGB). The results of a targeted metabolomics approach from 2 independent studies were used to calculate 24 serum FA concentration ratios (product/precursor). Gene expression data from an open public data set was also analyzed. In a longitudinal study of 38 obese diabetic patients with RYGB, we found higher baseline stearic acid/palmitic acid (S/P) ratio. This ratio reflects an elovl6-encoded elongase enzyme activity that has been found to be associated with greater possibility for diabetes remission after RYGB [odds ratio, 2.16 (95% CI 1.10-4.26)], after adjustment for age, gender, body mass index, diabetes duration, glycosylated hemoglobin A1c, and fasting C-peptide. Our results were validated by examination of postsurgical elovl6 gene expression in morbidly obese patients. The association of S/P with the metabolic status of obese individuals was further validated in a cross-sectional cohort of 381 participants. In summary, higher baseline S/P was associated with greater probability of diabetes remission after RYGB and may serve as a diagnostic marker in preoperative patient assessment. - Zhao, L., Ni, Y., Yu, H., Zhang, P., Zhao, A., Bao, Y., Liu, J., Chen, T., Xie, G., Panee, J., Chen, W., Rajani, C., Wei, R., Su, M., Jia, W., Jia, W. Serum stearic acid/palmitic acid ratio as a potential predictor of diabetes remission after Roux-en-Y gastric bypass in obesity.
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Affiliation(s)
- Linjing Zhao
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai, China
| | - Yan Ni
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Haoyong Yu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Pin Zhang
- Department of General Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China; and
| | - Aihua Zhao
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Yuqian Bao
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Jiajian Liu
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Tianlu Chen
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Guoxiang Xie
- University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Jun Panee
- Department of Cell and Molecular Biology, John A. Burns School of Medicine, University of Hawaii, Manoa, Hawaii, USA
| | - Wenlian Chen
- University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Cynthia Rajani
- University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Runmin Wei
- University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Mingming Su
- University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Weiping Jia
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China; .,Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Wei Jia
- Shanghai Key Laboratory of Diabetes Mellitus and Center for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China; .,University of Hawaii Cancer Center, Honolulu, Hawaii, USA
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Wahl S, Drong A, Lehne B, Loh M, Scott WR, Kunze S, Tsai PC, Ried JS, Zhang W, Yang Y, Tan S, Fiorito G, Franke L, Guarrera S, Kasela S, Kriebel J, Richmond RC, Adamo M, Afzal U, Ala-Korpela M, Albetti B, Ammerpohl O, Apperley JF, Beekman M, Bertazzi PA, Black SL, Blancher C, Bonder MJ, Brosch M, Carstensen-Kirberg M, de Craen AJM, de Lusignan S, Dehghan A, Elkalaawy M, Fischer K, Franco OH, Gaunt TR, Hampe J, Hashemi M, Isaacs A, Jenkinson A, Jha S, Kato N, Krogh V, Laffan M, Meisinger C, Meitinger T, Mok ZY, Motta V, Ng HK, Nikolakopoulou Z, Nteliopoulos G, Panico S, Pervjakova N, Prokisch H, Rathmann W, Roden M, Rota F, Rozario MA, Sandling JK, Schafmayer C, Schramm K, Siebert R, Slagboom PE, Soininen P, Stolk L, Strauch K, Tai ES, Tarantini L, Thorand B, Tigchelaar EF, Tumino R, Uitterlinden AG, van Duijn C, van Meurs JBJ, Vineis P, Wickremasinghe AR, Wijmenga C, Yang TP, Yuan W, Zhernakova A, Batterham RL, Smith GD, Deloukas P, Heijmans BT, Herder C, Hofman A, Lindgren CM, Milani L, van der Harst P, Peters A, Illig T, Relton CL, Waldenberger M, Järvelin MR, Bollati V, Soong R, Spector TD, Scott J, McCarthy MI, Elliott P, Bell JT, Matullo G, Gieger C, Kooner JS, Grallert H, Chambers JC. Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature 2016; 541:81-86. [PMID: 28002404 PMCID: PMC5570525 DOI: 10.1038/nature20784] [Citation(s) in RCA: 565] [Impact Index Per Article: 70.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2015] [Accepted: 11/10/2016] [Indexed: 02/08/2023]
Abstract
Overweight and obesity affect ~1.5 billion people worldwide, and are major risk factors for type-2 diabetes (T2D), cardiovascular disease and related metabolic and inflammatory disturbances.1,2 Although the mechanisms linking adiposity to its clinical sequelae are poorly understood, recent studies suggest that adiposity may influence DNA methylation,3–6 a key regulator of gene expression and molecular phenotype.7 Here we use epigenome-wide association to show that body mass index (BMI, a key measure of adiposity) is associated with widespread changes in DNA methylation (187 genetic loci at P<1x10-7, range P=9.2x10-8 to 6.0x10-46; N=10,261 samples). Genetic association analyses demonstrate that the alterations in DNA methylation are predominantly the consequence of adiposity, rather than the cause. We find the methylation loci are enriched for functional genomic features in multiple tissues (P<0.05), and show that sentinel methylation markers identify gene expression signatures at 38 loci (P<9.0x10-6, range P=5.5x10-6 to 6.1x10-35, N=1,785 samples). The methylation loci identified highlight genes involved in lipid and lipoprotein metabolism, substrate transport, and inflammatory pathways. Finally, we show that the disturbances in DNA methylation predict future type-2 diabetes (relative risk per 1SD increase in Methylation Risk Score: 2.3 [2.07-2.56]; P=1.1x10-54). Our results provide new insights into the biologic pathways influenced by adiposity, and may enable development of new strategies for prediction and prevention of type-2 diabetes and other adverse clinical consequences of obesity.
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Affiliation(s)
- Simone Wahl
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Alexander Drong
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Marie Loh
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK.,Institute of Health Sciences, P.O. Box 5000, FI-90014 University of Oulu, Finland.,Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, Immunos, Level 5, Singapore 138648, Singapore
| | - William R Scott
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK.,National Heart and Lung Institute, Imperial College London, London W12 0NN, UK
| | - Sonja Kunze
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Pei-Chien Tsai
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Janina S Ried
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK.,Ealing Hospital NHS Trust, Middlesex UB1 3HW, UK
| | - Youwen Yang
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Sili Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Giovanni Fiorito
- Human Genetics Foundation-Torino, Torino, Italy.,Medical Sciences Department, University of Torino, Torino, Italy
| | - Lude Franke
- University of Groningen, University Medical Center Groningen, Department of Genetics, 9700 RB Groningen, The Netherlands
| | - Simonetta Guarrera
- Human Genetics Foundation-Torino, Torino, Italy.,Medical Sciences Department, University of Torino, Torino, Italy
| | - Silva Kasela
- Estonian Genome Center, University of Tartu, Riia 23b, 51010 Tartu, Estonia.,Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Riia 23, 51010 Tartu, Estonia
| | - Jennifer Kriebel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Marco Adamo
- UCLH Bariatric Centre for Weight Loss, Weight Management and Metabolic and Endocrine Surgery, University College London Hospitals, Ground Floor West Wing, 250 Euston Road, London NW1 2PG, UK
| | - Uzma Afzal
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK.,Ealing Hospital NHS Trust, Middlesex UB1 3HW, UK
| | - Mika Ala-Korpela
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.,NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland.,Computational Medicine, School of Social and Community Medicine, University of Bristol and Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Benedetta Albetti
- EPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Milano and Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Ole Ammerpohl
- Institute of Human Genetics, University Hospital Schleswig-Holstein, Kiel Campus, Kiel, Germany
| | - Jane F Apperley
- Centre for Haematology, Department of Medicine, Faculty of Medicine, Imperial College London, Hammersmith Campus, London W12 0NN, UK
| | - Marian Beekman
- Molecular Epidemiology, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands
| | - Pier Alberto Bertazzi
- EPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Milano and Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - S Lucas Black
- Section of Infectious Diseases and Immunity, Department of Medicine, Imperial College London, London W12 0NN, UK
| | - Christine Blancher
- High Throughput Genomics-Oxford Genomic Centre, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Marc-Jan Bonder
- University of Groningen, University Medical Center Groningen, Department of Genetics, 9700 RB Groningen, The Netherlands
| | - Mario Brosch
- Medical Department 1, University Hospital of the Technical University Dresden, Dresden, Germany
| | - Maren Carstensen-Kirberg
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Anton J M de Craen
- Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Simon de Lusignan
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7PX, UK
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Mohamed Elkalaawy
- UCLH Bariatric Centre for Weight Loss, Weight Management and Metabolic and Endocrine Surgery, University College London Hospitals, Ground Floor West Wing, 250 Euston Road, London NW1 2PG, UK.,Clinical and Experimental Surgery Department, Medical Research Institute, University of Alexandria, Hadara, Alexandria 21561, Egypt
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Riia 23b, 51010 Tartu, Estonia
| | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Jochen Hampe
- Medical Department 1, University Hospital of the Technical University Dresden, Dresden, Germany
| | - Majid Hashemi
- UCLH Bariatric Centre for Weight Loss, Weight Management and Metabolic and Endocrine Surgery, University College London Hospitals, Ground Floor West Wing, 250 Euston Road, London NW1 2PG, UK
| | - Aaron Isaacs
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Andrew Jenkinson
- UCLH Bariatric Centre for Weight Loss, Weight Management and Metabolic and Endocrine Surgery, University College London Hospitals, Ground Floor West Wing, 250 Euston Road, London NW1 2PG, UK
| | - Sujeet Jha
- Department of Endocrinology, Diabetes and Obesity, Max Healthcare, New Delhi 110 017, India
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo 1628655, Japan
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCSS Istituto Nazionale Tumori, Milano, Italy
| | - Michael Laffan
- Centre for Haematology, Department of Medicine, Faculty of Medicine, Imperial College London, Hammersmith Campus, London W12 0NN, UK
| | - Christa Meisinger
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Human Genetics, Technical University Munich, München, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Zuan Yu Mok
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Valeria Motta
- EPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Milano and Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Hong Kiat Ng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Zacharoula Nikolakopoulou
- Vascular Biology Section, National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW3 6LY, UK
| | - Georgios Nteliopoulos
- Centre for Haematology, Department of Medicine, Faculty of Medicine, Imperial College London, Hammersmith Campus, London W12 0NN, UK
| | - Salvatore Panico
- Dipartmento Di Medicina Clinica E Chirurgia Federio II University, Naples, Italy
| | - Natalia Pervjakova
- Estonian Genome Center, University of Tartu, Riia 23b, 51010 Tartu, Estonia.,Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Riia 23, 51010 Tartu, Estonia
| | - Holger Prokisch
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Human Genetics, Technical University Munich, München, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michael Roden
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Department of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Hospital Düsseldorf, Düsseldorf, Germany
| | - Federica Rota
- EPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Milano and Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Michelle Ann Rozario
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Johanna K Sandling
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.,Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, 751 44 Uppsala, Sweden
| | - Clemens Schafmayer
- Department of Visceral and Thoracic Surgery, University Hospital Schleswig-Holstein, Kiel Campus, Kiel, Germany
| | - Katharina Schramm
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Human Genetics, Technical University Munich, München, Germany
| | - Reiner Siebert
- Institute of Human Genetics, University Hospital Schleswig-Holstein, Kiel Campus, Kiel, Germany.,Institute of Human Genetics, University Hospital of Ulm, Albert-Einstein-Allee 11, D-89081 Ulm, Germany
| | - P Eline Slagboom
- Molecular Epidemiology, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands
| | - Pasi Soininen
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.,NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Lisette Stolk
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - E-Shyong Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117597, Singapore.,Duke-National University of Singapore Graduate Medical School, Singapore 169857, Singapore
| | - Letizia Tarantini
- EPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Milano and Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Barbara Thorand
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Ettje F Tigchelaar
- University of Groningen, University Medical Center Groningen, Department of Genetics, 9700 RB Groningen, The Netherlands
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, 'Civile-M.P. Arezzo' Hospital, ASP 7, Ragusa, Italy
| | - Andre G Uitterlinden
- Departments of Internal Medicine and Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Cornelia van Duijn
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Paolo Vineis
- Human Genetics Foundation-Torino, Torino, Italy.,Epidemiology and Public Health, Imperial College London, London, UK
| | - Ananda Rajitha Wickremasinghe
- Department of Public Health, Faculty of Medicine, University of Kelaniya, PO Box 6, Thalagolla Road, Ragama 11010, Sri Lanka
| | - Cisca Wijmenga
- University of Groningen, University Medical Center Groningen, Department of Genetics, 9700 RB Groningen, The Netherlands
| | - Tsun-Po Yang
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Wei Yuan
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.,The Institute of Cancer Research, Surrey SM2 5NG, UK
| | - Alexandra Zhernakova
- University of Groningen, University Medical Center Groningen, Department of Genetics, 9700 RB Groningen, The Netherlands
| | - Rachel L Batterham
- UCLH Bariatric Centre for Weight Loss, Weight Management and Metabolic and Endocrine Surgery, University College London Hospitals, Ground Floor West Wing, 250 Euston Road, London NW1 2PG, UK.,Centre for Obesity Research, Rayne Institute, Department of Medicine, University College London, London WC1E 6JJ, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Panos Deloukas
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.,William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK.,Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands
| | - Christian Herder
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Cecilia M Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK.,Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Riia 23b, 51010 Tartu, Estonia
| | - Pim van der Harst
- University of Groningen, University Medical Center Groningen, Department of Genetics, 9700 RB Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700 RB Groningen, The Netherlands.,Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, 3511 GC Utrecht, The Netherlands
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Thomas Illig
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Hannover Unified Biobank, Hannover Medical School, Feodor-Lynen-Strasse 15, D-30625 Hanover, Germany.,Institute of Human Genetics, Hannover Medical School, Carl-Neuberg-Strasse 1, D-30625 Hanover, Germany
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit (IEU), School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (HPE) Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Biocenter Oulu, P.O. Box 5000, Aapistie 5A, FI-90014 University of Oulu, Finland.,Center for Life Course Epidemiology, Faculty of Medicine, P.O. Box 5000, FI-90014 University of Oulu, Finland.,Unit of Primary Care, Oulu University Hospital, Kajaanintie 50, PO Box 20, FI-90220 Oulu, 90029 OYS, Finland
| | - Valentina Bollati
- EPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Milano and Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Richie Soong
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Department of Pathology, National University Hospital, Singapore
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - James Scott
- National Heart and Lung Institute, Imperial College London, London W12 0NN, UK
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK.,Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK.,Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford OX3 7LJ, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK.,Imperial College Healthcare NHS Trust, London W12 0HS, UK
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Giuseppe Matullo
- Human Genetics Foundation-Torino, Torino, Italy.,Medical Sciences Department, University of Torino, Torino, Italy
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Jaspal S Kooner
- National Heart and Lung Institute, Imperial College London, London W12 0NN, UK.,Ealing Hospital NHS Trust, Middlesex UB1 3HW, UK.,Imperial College Healthcare NHS Trust, London W12 0HS, UK
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - John C Chambers
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK.,Ealing Hospital NHS Trust, Middlesex UB1 3HW, UK.,Imperial College Healthcare NHS Trust, London W12 0HS, UK.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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49
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Adipose tissue gene expression is differentially regulated with different rates of weight loss in overweight and obese humans. Int J Obes (Lond) 2016; 41:309-316. [PMID: 27840413 DOI: 10.1038/ijo.2016.201] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 10/11/2016] [Accepted: 10/23/2016] [Indexed: 12/12/2022]
Abstract
BACKGROUND/OBJECTIVES Moderate weight loss (WL) can ameliorate adverse health effects associated with obesity, reflected by an improved adipose tissue (AT) gene expression profile. However, the effect of rate of WL on the AT transcriptome is unknown. We investigated the global AT gene expression profile before and after two different rates of WL that resulted in similar total WL, and after a subsequent weight stabilization period. SUBJECTS/METHODS In this randomized controlled trial, 25 male and 28 female individuals (body mass index (BMI): 28-35 kg m-2) followed either a low-calorie diet (LCD; 1250 kcal day-1) for 12 weeks or a very-low-calorie diet (VLCD; 500 kcal day-1) for 5 weeks (WL period) and a subsequent weight stable (WS) period of 4 weeks. The WL period and WS period together is termed dietary intervention (DI) period. Abdominal subcutaneous AT biopsies were collected for microarray analysis and gene expression changes were calculated for all three periods in the LCD group, VLCD group and between diets (ΔVLCD-ΔLCD). RESULTS WL was similar between groups during the WL period (LCD: -8.1±0.5 kg, VLCD: -8.9±0.4 kg, difference P=0.25). Overall, more genes were significantly regulated and changes in gene expression appeared more pronounced in the VLCD group compared with the LCD group. Gene sets related to mitochondrial function, adipogenesis and immunity/inflammation were more strongly upregulated on a VLCD compared with a LCD during the DI period (positive ΔVLCD-ΔLCD). Neuronal and olfactory-related gene sets were decreased during the WL period and DI period in the VLCD group. CONCLUSIONS The rate of WL (LCD vs VLCD), with similar total WL, strongly regulates AT gene expression. Increased mitochondrial function, angiogenesis and adipogenesis on a VLCD compared with a LCD reflect potential beneficial diet-induced changes in AT, whereas differential neuronal and olfactory regulation suggest functions of these genes beyond the current paradigm.
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50
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Dex S, Lin D, Shukunami C, Docheva D. Tenogenic modulating insider factor: Systematic assessment on the functions of tenomodulin gene. Gene 2016; 587:1-17. [PMID: 27129941 DOI: 10.1016/j.gene.2016.04.051] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Revised: 04/20/2016] [Accepted: 04/25/2016] [Indexed: 02/08/2023]
Abstract
Tenomodulin (TNMD, Tnmd) is a gene highly expressed in tendon known to be important for tendon maturation with key implications for the residing tendon stem/progenitor cells as well as for the regulation of endothelial cell migration in chordae tendineae cordis in the heart and in experimental tumour models. This review aims at providing an encompassing overview of this gene and its protein. In addition, its known expression pattern as well as putative signalling pathways will be described. A chronological overview of the discovered functions of this gene in tendon and other tissues and cells is provided as well as its use as a tendon and ligament lineage marker is assessed in detail and discussed. Last, information about the possible connections between TNMD genomic mutations and mRNA expression to various diseases is delivered. Taken together this review offers a solid synopsis on the up-to-date information available about TNMD and aids at directing and focusing the future research to fully uncover the roles and implications of this interesting gene.
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Affiliation(s)
- Sarah Dex
- Experimental Surgery and Regenerative Medicine, Department of Surgery, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Dasheng Lin
- Experimental Surgery and Regenerative Medicine, Department of Surgery, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Chisa Shukunami
- Department of Molecular Biology and Biochemistry, Division of Basic Life Sciences, Institute of Biomedical & Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Denitsa Docheva
- Experimental Surgery and Regenerative Medicine, Department of Surgery, Ludwig-Maximilians-University (LMU), Munich, Germany; Department of Medical Biology, Medical University-Plovdiv, Plovdiv, Bulgaria.
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