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Hinte LC, Castellano-Castillo D, Ghosh A, Melrose K, Gasser E, Noé F, Massier L, Dong H, Sun W, Hoffmann A, Wolfrum C, Rydén M, Mejhert N, Blüher M, von Meyenn F. Adipose tissue retains an epigenetic memory of obesity after weight loss. Nature 2024; 636:457-465. [PMID: 39558077 PMCID: PMC11634781 DOI: 10.1038/s41586-024-08165-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 10/07/2024] [Indexed: 11/20/2024]
Abstract
Reducing body weight to improve metabolic health and related comorbidities is a primary goal in treating obesity1,2. However, maintaining weight loss is a considerable challenge, especially as the body seems to retain an obesogenic memory that defends against body weight changes3,4. Overcoming this barrier for long-term treatment success is difficult because the molecular mechanisms underpinning this phenomenon remain largely unknown. Here, by using single-nucleus RNA sequencing, we show that both human and mouse adipose tissues retain cellular transcriptional changes after appreciable weight loss. Furthermore, we find persistent obesity-induced alterations in the epigenome of mouse adipocytes that negatively affect their function and response to metabolic stimuli. Mice carrying this obesogenic memory show accelerated rebound weight gain, and the epigenetic memory can explain future transcriptional deregulation in adipocytes in response to further high-fat diet feeding. In summary, our findings indicate the existence of an obesogenic memory, largely on the basis of stable epigenetic changes, in mouse adipocytes and probably other cell types. These changes seem to prime cells for pathological responses in an obesogenic environment, contributing to the problematic 'yo-yo' effect often seen with dieting. Targeting these changes in the future could improve long-term weight management and health outcomes.
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Affiliation(s)
- Laura C Hinte
- Laboratory of Nutrition and Metabolic Epigenetics, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Biomedicine Programme, Life Science Zurich Graduate School, Zurich, Switzerland
| | - Daniel Castellano-Castillo
- Laboratory of Nutrition and Metabolic Epigenetics, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Medical Oncology Department, Virgen de la Victoria University Hospital, Málaga Biomedical Research Institute (IBIMA)-CIMES-UMA, Málaga, Spain
| | - Adhideb Ghosh
- Laboratory of Nutrition and Metabolic Epigenetics, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Functional Genomics Center Zurich, ETH Zurich and University Zurich, Zurich, Switzerland
- Laboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Kate Melrose
- Laboratory of Nutrition and Metabolic Epigenetics, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Biomedicine Programme, Life Science Zurich Graduate School, Zurich, Switzerland
| | - Emanuel Gasser
- Laboratory of Nutrition and Metabolic Epigenetics, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Falko Noé
- Laboratory of Nutrition and Metabolic Epigenetics, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Functional Genomics Center Zurich, ETH Zurich and University Zurich, Zurich, Switzerland
- Laboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Lucas Massier
- Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG), Helmholtz Zentrum München, University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Hua Dong
- Laboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Stem Cell Bio Regenerative Med Institute, Stanford University, Stanford, CA, USA
| | - Wenfei Sun
- Laboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Anne Hoffmann
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG), Helmholtz Zentrum München, University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Christian Wolfrum
- Laboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Mikael Rydén
- Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Niklas Mejhert
- Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Matthias Blüher
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG), Helmholtz Zentrum München, University of Leipzig and University Hospital Leipzig, Leipzig, Germany
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Ferdinand von Meyenn
- Laboratory of Nutrition and Metabolic Epigenetics, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
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Wu J, Xu W, Li J, Luo C, Chen B, Lin L, Huang T, Luo T, Yang L, Yang J. Honokiol inhibits human osteosarcoma MG63 cell migration by upregulating FTO and Smad6 to promote autophagy. Mol Cell Probes 2024; 78:101988. [PMID: 39454801 DOI: 10.1016/j.mcp.2024.101988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Revised: 10/18/2024] [Accepted: 10/18/2024] [Indexed: 10/28/2024]
Abstract
BACKGROUND Osteosarcoma (OS) is a common primary malignant tumor of bone, most commonly seen in children and adolescents, which has a low survival rate and is a serious threat to patients' lives. Honokiol (HKL) is the main active components of Magnolia officinalis, which have significant anti-tumor properties. The aim of this study was to observe the autophagic and migratory effects of HKL on MG63 cells and to investigate whether the mechanism of action was related to FTO and Smad6. METHODS Firstly, we cultured MG63 cells in vitro and intervened with different concentrations of HKL to detect cell activity by CCK8, apoptosis by flow cytometry, cell migration ability by scratch assay, cell invasion ability by transwell assay and MMP2, P62, LC3 I/II, FTO and Smad6 protein expression by Western blot. RESULTS HKL inhibited MG63 cells activity and that this effect was dose and time dependent. Although there was no significant effect on apoptosis and invasive ability, HKL could act through effects such as promoting cell autophagy and inhibiting migration. HKL increased the protein expression levels of FTO, Smad6, MMP2, LC3 I/II and P62, and this effect was reduced after silencing of Smad6. CONCLUSIONS HKL induced autophagy and inhibited cell migration in MG63 cells by increasing the expression of FTP and Smad6. It can be seen that HKL may be a promising drug for the treatment of OS.
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Affiliation(s)
- Jian Wu
- Department of Orthopedics, Luzhou Key Laboratory of Orthopedic Disorders, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan Province, PR China.
| | - Wenqiang Xu
- Department of Orthopedics, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, Jiangsu Province, PR China.
| | - Jingchi Li
- Department of Orthopedics, Luzhou Key Laboratory of Orthopedic Disorders, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan Province, PR China
| | - Cheng Luo
- Department of Orthopedics, Luzhou Key Laboratory of Orthopedic Disorders, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan Province, PR China
| | - Bo Chen
- Department of Orthopedics, Luzhou Key Laboratory of Orthopedic Disorders, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan Province, PR China
| | - Luo Lin
- Department of Orthopedics, Luzhou Key Laboratory of Orthopedic Disorders, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan Province, PR China
| | - Tianyu Huang
- Department of Orthopedics, Luzhou Key Laboratory of Orthopedic Disorders, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan Province, PR China
| | - Tao Luo
- Department of Orthopedics, Luzhou Key Laboratory of Orthopedic Disorders, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan Province, PR China
| | - Lin Yang
- Department of Orthopedics, Luzhou Key Laboratory of Orthopedic Disorders, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan Province, PR China
| | - Jiexiang Yang
- Department of Orthopedics, Luzhou Key Laboratory of Orthopedic Disorders, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, Sichuan Province, PR China.
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Escobar Marcillo DI, Guglielmi V, Privitera GF, Signore M, Simonelli V, Manganello F, Dell'Orso A, Laterza S, Parlanti E, Pulvirenti A, Marcon F, Siniscalchi E, Fertitta V, Iorio E, Varì R, Nisticò L, Valverde M, Sbraccia P, Dogliotti E, Fortini P. The dual nature of DNA damage response in obesity and bariatric surgery-induced weight loss. Cell Death Dis 2024; 15:664. [PMID: 39256343 PMCID: PMC11387396 DOI: 10.1038/s41419-024-06922-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 07/11/2024] [Accepted: 07/18/2024] [Indexed: 09/12/2024]
Abstract
This novel study applies targeted functional proteomics to examine tissues and cells obtained from a cohort of individuals with severe obesity who underwent bariatric surgery (BS), using a Reverse-Phase Protein Array (RPPA). In obese individuals, visceral adipose tissue (VAT), but not subcutaneous adipose tissue (SAT), shows activation of DNA damage response (DDR) markers including ATM, ATR, histone H2AX, KAP1, Chk1, and Chk2, alongside senescence markers p16 and p21. Additionally, stress-responsive metabolic markers, such as survivin, mTOR, and PFKFB3, are specifically elevated in VAT, suggesting both cellular stress and metabolic dysregulation. Conversely, peripheral blood mononuclear cells (PBMCs), while exhibiting elevated mTOR and JNK levels, did not present significant changes in DDR or senescence markers. Following BS, unexpected increases in phosphorylated ATM, ATR, and KAP1 levels, but not in Chk1 and Chk2 nor in senescence markers, were observed. This was accompanied by heightened levels of survivin and mTOR, along with improvement in markers of mitochondrial quality and health. This suggests that, following BS, pro-survival pathways involved in cellular adaptation to various stressors and metabolic alterations are activated in circulating PBMCs. Moreover, our findings demonstrate that the DDR has a dual nature. In the case of VAT from individuals with obesity, chronic DDR proves to be harmful, as it is associated with senescence and chronic inflammation. Conversely, after BS, the activation of DDR proteins in PBMCs is associated with a beneficial survival response. This response is characterized by metabolic redesign and improved mitochondrial biogenesis and functionality. This study reveals physiological changes associated with obesity and BS that may aid theragnostic approaches.
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Affiliation(s)
| | - Valeria Guglielmi
- Internal Medicine Unit and Obesity Center, University Hospital Policlinico Tor Vergata, Rome, Italy
| | - Grete Francesca Privitera
- Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy
| | - Michele Signore
- Core Facilities, ISS, Viale Regina Elena 299, 00161, Roma, Italy
| | - Valeria Simonelli
- Dept of Environment and Health, ISS, Viale Regina Elena 299, 00161, Roma, Italy
| | - Federico Manganello
- Dept of Environment and Health, ISS, Viale Regina Elena 299, 00161, Roma, Italy
| | - Ambra Dell'Orso
- Dept of Environment and Health, ISS, Viale Regina Elena 299, 00161, Roma, Italy
| | - Serena Laterza
- Internal Medicine Unit and Obesity Center, University Hospital Policlinico Tor Vergata, Rome, Italy
| | - Eleonora Parlanti
- Dept of Environment and Health, ISS, Viale Regina Elena 299, 00161, Roma, Italy
| | - Alfredo Pulvirenti
- Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy
| | - Francesca Marcon
- Dept of Environment and Health, ISS, Viale Regina Elena 299, 00161, Roma, Italy
| | - Ester Siniscalchi
- Dept of Environment and Health, ISS, Viale Regina Elena 299, 00161, Roma, Italy
| | - Veronica Fertitta
- Dept of Environment and Health, ISS, Viale Regina Elena 299, 00161, Roma, Italy
| | - Egidio Iorio
- High Resolution NMR Unit-Core Facilities, ISS, Viale Regina Elena, 299, 00161, Roma, Italy
| | - Rosaria Varì
- Center for Gender-Specific Medicine, ISS, Viale Regina Elena 299, 00161, Rome, Italy
| | - Lorenza Nisticò
- Centre for Behavioral Sciences and Mental Health, ISS, Viale Regina Elena 299, 00161, Roma, Italy
| | - Mahara Valverde
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, C.U. C.P, 04510, CDMX, México
| | - Paolo Sbraccia
- Internal Medicine Unit and Obesity Center, University Hospital Policlinico Tor Vergata, Rome, Italy
| | - Eugenia Dogliotti
- Dept of Environment and Health, ISS, Viale Regina Elena 299, 00161, Roma, Italy.
| | - Paola Fortini
- Dept of Environment and Health, ISS, Viale Regina Elena 299, 00161, Roma, Italy.
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Lytvyak E, Zarrinpar A, Ore CD, Lee E, Yazdani-Boset K, Horgan S, Grunvald E. Stronger control of eating 3 months after sleeve gastrectomy predicts successful weight loss outcomes at one year. OBESITY PILLARS 2024; 11:100111. [PMID: 38770521 PMCID: PMC11103426 DOI: 10.1016/j.obpill.2024.100111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 05/01/2024] [Accepted: 05/02/2024] [Indexed: 05/22/2024]
Abstract
Background Weight loss response to sleeve gastrectomy (SG) is variable and predicting the effectiveness of surgery is challenging and elusive. The aim of our study was to assess and quantify the association between eating control and weight loss outcomes and identify the control of eating (CoE) attributes during the early postoperative period that might predict good vs. poor response to SG at one year. Methods A prospective longitudinal cohort study using the Control of Eating Questionnaire (CoEQ) was designed as a series before and at 3-, 6-, and 12-months post-SG. Primary outcomes were changes in CoE attributes and percent of total weight loss (%TWL) 12-months post-surgery. Subjects were categorized based on %TWL as good (GR, ≥25 %) or poor responders (PR, <25 %). A receiver operating characteristic and logistic regression analyses were performed. Results We included 41 participants (80.5% females, 51.2% Hispanic, mean age 41.7±10.6, median baseline body mass index (BMI) 43.6 kg/m2 [range 35.2-66.3]) who completed the CoEQ at all four timepoints. The "Difficulty to control eating" score at 3 months revealed the highest area under the curve (AUC) (AUC 0.711; 95%CI 0.524-0.898; p=0.032). In a trade-off between a high Youden index and high sensitivity, the "Difficulty to control eating" score of 7 at 3 months was identified as the optimal cut-off for distinguishing between GRs and PRs. Score ≤7 at 3 months was strongly independently associated with a successful weight loss target of 25%TWL at one-year post-SG (Relative Risk 4.43; 95%CI 1.06-18.54; p=0.042). Conclusion "Difficulty to control eating" score at 3 months post-SG is an independent early predictor of optimal response (achieving a successful TWL target of ≥25 % at one-year post-SG). Our results support the utility of this easy-to-administer validated tool for predicting the effectiveness of SG and may assist in identifying individuals with suboptimal response early and helping them with interventions to attain optimal weight loss targets.
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Affiliation(s)
- Ellina Lytvyak
- Division of Preventive Medicine, Department of Medicine, University of Alberta, 5-30 University Terrace, 8303 112 Street, Edmonton, Alberta, T6G 2T4, Canada
| | - Amir Zarrinpar
- Division of Gastroenterology, University of California San Diego, La Jolla, CA, USA
- School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Cecilia Dalle Ore
- School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Euyhyun Lee
- Altman Clinical and Translational Research Institute, University of California San Diego, La Jolla, CA, USA
| | | | - Santiago Horgan
- Bariatric and Metabolic Institute, Division of Minimally Invasive Surgery, University of California San Diego, 4303 La Jolla Village Drive, Suite 2110, San Diego, CA, 92122, USA
| | - Eduardo Grunvald
- School of Medicine, University of California San Diego, La Jolla, CA, USA
- Division of General Internal Medicine, University of California San Diego, La Jolla, CA, USA
- Bariatric and Metabolic Institute, Division of Minimally Invasive Surgery, University of California San Diego, 4303 La Jolla Village Drive, Suite 2110, San Diego, CA, 92122, USA
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Alexandrou A, Sakarellos P, Davakis S, Felekouras E. Comment on: Genetic risk score based on obesity-related genes and progression in weight loss after bariatric surgery: a 60-month follow-up study. Surg Obes Relat Dis 2024; 20:821-822. [PMID: 38987028 DOI: 10.1016/j.soard.2024.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 05/04/2024] [Indexed: 07/12/2024]
Affiliation(s)
- Andreas Alexandrou
- First Department of Surgery, Medical School of Athens, Laiko General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Sakarellos
- First Department of Surgery, Medical School of Athens, Laiko General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Spyridon Davakis
- First Department of Surgery, Medical School of Athens, Laiko General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Evangelos Felekouras
- First Department of Surgery, Medical School of Athens, Laiko General Hospital, National and Kapodistrian University of Athens, Athens, Greece
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Müller L, Hoffmann A, Bernhart SH, Ghosh A, Zhong J, Hagemann T, Sun W, Dong H, Noé F, Wolfrum C, Dietrich A, Stumvoll M, Massier L, Blüher M, Kovacs P, Chakaroun R, Keller M. Blood methylation pattern reflects epigenetic remodelling in adipose tissue after bariatric surgery. EBioMedicine 2024; 106:105242. [PMID: 39002385 PMCID: PMC11284569 DOI: 10.1016/j.ebiom.2024.105242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 06/27/2024] [Accepted: 06/28/2024] [Indexed: 07/15/2024] Open
Abstract
BACKGROUND Studies on DNA methylation following bariatric surgery have primarily focused on blood cells, while it is unclear to which extend it may reflect DNA methylation profiles in specific metabolically relevant organs such as adipose tissue. Here, we investigated whether adipose tissue depots specific methylation changes after bariatric surgery are mirrored in blood. METHODS Using Illumina 850K EPIC technology, we analysed genome-wide DNA methylation in paired blood, subcutaneous and omental visceral AT (SAT/OVAT) samples from nine individuals (N = 6 female) with severe obesity pre- and post-surgery. FINDINGS The numbers and effect sizes of differentially methylated regions (DMRs) post-bariatric surgery were more pronounced in AT (SAT: 12,865 DMRs from -11.5 to 10.8%; OVAT: 14,632 DMRs from -13.7 to 12.8%) than in blood (9267 DMRs from -8.8 to 7.7%). Cross-tissue DMRs implicated immune-related genes. Among them, 49 regions could be validated with similar methylation changes in blood from independent individuals. Fourteen DMRs correlated with differentially expressed genes in AT post bariatric surgery, including downregulation of PIK3AP1 in both SAT and OVAT. DNA methylation age acceleration was significantly higher in AT compared to blood, but remained unaffected after surgery. INTERPRETATION Concurrent methylation pattern changes in blood and AT, particularly in immune-related genes, suggest blood DNA methylation mirrors AT's inflammatory state post-bariatric surgery. FUNDING The funding sources are listed in the Acknowledgments section.
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Affiliation(s)
- Luise Müller
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, 04103, Germany
| | - Anne Hoffmann
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, Leipzig, 04103, Germany
| | - Stephan H Bernhart
- Interdisciplinary Center for Bioinformatics, University of Leipzig, 04107, Leipzig, Germany; Bioinformatics Group, Department of Computer, University of Leipzig, 04107, Leipzig, Germany; Transcriptome Bioinformatics, LIFE Research Center for Civilization Diseases, University of Leipzig, 04107, Leipzig, Germany
| | - Adhideb Ghosh
- Institute of Food, Nutrition and Health, ETH Zurich, 8092, Schwerzenbach, Switzerland
| | - Jiawei Zhong
- Department of Medicine Huddinge (H7), Karolinska Institutet, Karolinska University Hospital Huddinge, 141 83, Huddinge, Sweden
| | - Tobias Hagemann
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, Leipzig, 04103, Germany
| | - Wenfei Sun
- Institute of Food, Nutrition and Health, ETH Zurich, 8092, Schwerzenbach, Switzerland
| | - Hua Dong
- Institute of Food, Nutrition and Health, ETH Zurich, 8092, Schwerzenbach, Switzerland
| | - Falko Noé
- Institute of Food, Nutrition and Health, ETH Zurich, 8092, Schwerzenbach, Switzerland
| | - Christian Wolfrum
- Institute of Food, Nutrition and Health, ETH Zurich, 8092, Schwerzenbach, Switzerland
| | - Arne Dietrich
- Leipzig University Hospital, Department of Visceral, Transplantation, Thoracic and Vascular Surgery, Section of Bariatric Surgery, 04103, Leipzig, Germany
| | - Michael Stumvoll
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, 04103, Germany; Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, Leipzig, 04103, Germany; Deutsches Zentrum für Diabetesforschung e.V., 85764, Neuherberg, Germany
| | - Lucas Massier
- Department of Medicine Huddinge (H7), Karolinska Institutet, Karolinska University Hospital Huddinge, 141 83, Huddinge, Sweden
| | - Matthias Blüher
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, 04103, Germany; Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, Leipzig, 04103, Germany; Deutsches Zentrum für Diabetesforschung e.V., 85764, Neuherberg, Germany
| | - Peter Kovacs
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, 04103, Germany; Deutsches Zentrum für Diabetesforschung e.V., 85764, Neuherberg, Germany
| | - Rima Chakaroun
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, 04103, Germany; The Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 41345, Gothenburg, Sweden
| | - Maria Keller
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, 04103, Germany; Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, Leipzig, 04103, Germany.
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Guglielmi V, Dalle Grave R, Leonetti F, Solini A. Female obesity: clinical and psychological assessment toward the best treatment. Front Endocrinol (Lausanne) 2024; 15:1349794. [PMID: 38765954 PMCID: PMC11099266 DOI: 10.3389/fendo.2024.1349794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 04/19/2024] [Indexed: 05/22/2024] Open
Abstract
Obesity is a heterogeneous condition which results from complex interactions among sex/gender, sociocultural, environmental, and biological factors. Obesity is more prevalent in women in most developed countries, and several clinical and psychological obesity complications show sex-specific patterns. Females differ regarding fat distribution, with males tending to store more visceral fat, which is highly correlated to increased cardiovascular risk. Although women are more likely to be diagnosed with obesity and appear more motivated to lose weight, as confirmed by their greater representation in clinical trials, males show better outcomes in terms of body weight and intra-abdominal fat loss and improvements in the metabolic risk profile. However, only a few relatively recent studies have investigated gender differences in obesity, and sex/gender is rarely considered in the assessment and management of the disease. This review summarizes the evidence of gender differences in obesity prevalence, contributing factors, clinical complications, and psychological challenges. In addition, we explored gender differences in response to obesity treatments in the specific context of new anti-obesity drugs.
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Affiliation(s)
- Valeria Guglielmi
- Unit of Internal Medicine and Obesity Center, Department of Systems Medicine, Policlinico Tor Vergata, University of Rome Tor Vergata, Rome, Italy
| | - Riccardo Dalle Grave
- Department of Eating and Weight Disorders, Villa Garda Hospital, Garda, VR, Italy
| | - Frida Leonetti
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Anna Solini
- Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Pisa, Italy
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Long Y, Mao C, Liu S, Tao Y, Xiao D. Epigenetic modifications in obesity-associated diseases. MedComm (Beijing) 2024; 5:e496. [PMID: 38405061 PMCID: PMC10893559 DOI: 10.1002/mco2.496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/27/2024] Open
Abstract
The global prevalence of obesity has reached epidemic levels, significantly elevating the susceptibility to various cardiometabolic conditions and certain types of cancer. In addition to causing metabolic abnormalities such as insulin resistance (IR), elevated blood glucose and lipids, and ectopic fat deposition, obesity can also damage pancreatic islet cells, endothelial cells, and cardiomyocytes through chronic inflammation, and even promote the development of a microenvironment conducive to cancer initiation. Improper dietary habits and lack of physical exercise are important behavioral factors that increase the risk of obesity, which can affect gene expression through epigenetic modifications. Epigenetic alterations can occur in early stage of obesity, some of which are reversible, while others persist over time and lead to obesity-related complications. Therefore, the dynamic adjustability of epigenetic modifications can be leveraged to reverse the development of obesity-associated diseases through behavioral interventions, drugs, and bariatric surgery. This review provides a comprehensive summary of the impact of epigenetic regulation on the initiation and development of obesity-associated cancers, type 2 diabetes, and cardiovascular diseases, establishing a theoretical basis for prevention, diagnosis, and treatment of these conditions.
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Affiliation(s)
- Yiqian Long
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
| | - Chao Mao
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
- NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic MedicineCentral South UniversityChangshaChina
| | - Shuang Liu
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
- Department of Oncology, Institute of Medical Sciences, National Clinical Research Center for Geriatric DisordersXiangya HospitalCentral South UniversityChangshaHunanChina
| | - Yongguang Tao
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
- NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic MedicineCentral South UniversityChangshaChina
- Hunan Key Laboratory of Early Diagnosis and Precision Therapy in Lung Cancer, Department of Thoracic SurgerySecond Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Desheng Xiao
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
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9
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Sánchez EC, Barajas-Olmos F, Baca P, Zerrweck C, Guilbert L, Martínez-Hernández A, Centeno F, Orozco L. DNA Methylation Remodeling after Bariatric Surgery Correlates with Clinical Parameters. Adv Biol (Weinh) 2023; 7:e2300001. [PMID: 37144655 DOI: 10.1002/adbi.202300001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 03/27/2023] [Indexed: 05/06/2023]
Abstract
The altered functions of adipose tissue are one of the main issues in obesity. Bariatric surgery is associated with improvement of obesity associated comorbidities. Here DNA methylation remodeling in adipose tissue after bariatric surgery is examined. After six months postoperative, DNA methylation shows changes in 1155 CpG sites, 66 of these sites correlate with body mass index. Some sites also show correlation with LDL-C, HDL-C, total cholesterol, and triglycerides. CpG sites are located in genes that have not previously been linked to obesity or metabolic diseases. GNAS complex locus is one of those that presented CpG site with the greatest changes after surgery, and the most significant correlation with BMI and lipid profiles. These results show that epigenetic regulation may be involved in the alteration of adipose tissue functions in obesity.
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Affiliation(s)
- Ernesto Carlos Sánchez
- Immunogenomics and Metabolic Disease Laboratory, Instituto Nacional de Medicina Genómica, SS, Periférico Sur 4809, Mexico City, Tlalpan, 14610, Mexico
- Posgrado en Ciencias Biológicas, Universidad Nacional Autónoma de México, Cto. de los Posgrados, Ciudad Universitaria, Mexico City, Coyoacán, 04510, Mexico
| | - Francisco Barajas-Olmos
- Immunogenomics and Metabolic Disease Laboratory, Instituto Nacional de Medicina Genómica, SS, Periférico Sur 4809, Mexico City, Tlalpan, 14610, Mexico
| | - Paulina Baca
- Immunogenomics and Metabolic Disease Laboratory, Instituto Nacional de Medicina Genómica, SS, Periférico Sur 4809, Mexico City, Tlalpan, 14610, Mexico
| | - Carlos Zerrweck
- Facultad de Medicina, Alta especialidad en Cirugía Bariatrica, UNAM, Escolar 411A, Copilco Universidad, Mexico City, Coyoacán, 04360, Mexico
| | - Lizbeth Guilbert
- Clínica Integral de Obesidad, Hospital General Tláhuac, Secretaría de Salud de la CDMX, Av. La turba 655, Mexico City, Tláhuac, 13278, Mexico
| | - Angélica Martínez-Hernández
- Immunogenomics and Metabolic Disease Laboratory, Instituto Nacional de Medicina Genómica, SS, Periférico Sur 4809, Mexico City, Tlalpan, 14610, Mexico
| | - Federico Centeno
- Immunogenomics and Metabolic Disease Laboratory, Instituto Nacional de Medicina Genómica, SS, Periférico Sur 4809, Mexico City, Tlalpan, 14610, Mexico
| | - Lorena Orozco
- Immunogenomics and Metabolic Disease Laboratory, Instituto Nacional de Medicina Genómica, SS, Periférico Sur 4809, Mexico City, Tlalpan, 14610, Mexico
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10
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Besin V, Yulianti T, Notopuro PB, Humardani FM. Genetic Polymorphisms of Ischemic Stroke in Asians. Clin Chim Acta 2023; 549:117527. [PMID: 37666385 DOI: 10.1016/j.cca.2023.117527] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/25/2023] [Accepted: 08/25/2023] [Indexed: 09/06/2023]
Abstract
The increasing incidence of ischemic stroke emphasizes the necessity for early detection and preventive strategies. Diagnostic biomarkers currently available for ischemic stroke only become detectable shortly before the manifestation of stroke symptoms. Genetic variants associated with ischemic stroke offer a potential solution to address this diagnostic limitation. However, it is crucial to acknowledge that genetic variants cannot be modified in the same way as epigenetic changes. Nevertheless, individuals carrying risk or protective variants can modify their lifestyle to potentially influence the associated epigenetic factors. This study aims to summarize specific variants relevant to Asian populations that may aid in the early detection of ischemic stroke and explore their impact on the disease's pathophysiology. These variants give us important information about the genes that play a role in ischemic stroke by affecting things like atherosclerosis pathway, blood coagulation pathway, homocysteine metabolism, transporter function, transcription, and the activity of neurons regulation. It is important to recognize the variations in genetic variants among different ethnicities and avoid generalizing the pathogenesis of ischemic stroke.
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Affiliation(s)
- Valentinus Besin
- Faculty of Medicine, University of Surabaya, Surabaya 60292, Indonesia
| | - Trilis Yulianti
- Faculty of Medicine, Universitas Sumatera Utara, Medan 20155, Indonesia
| | - Paulus Budiono Notopuro
- Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia
| | - Farizky Martriano Humardani
- Faculty of Medicine, University of Surabaya, Surabaya 60292, Indonesia; Magister in Biomedical Science Program, Faculty of Medicine Universitas Brawijaya, Malang 65112, Indonesia.
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11
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Luo Q, Dwaraka VB, Chen Q, Tong H, Zhu T, Seale K, Raffaele JM, Zheng SC, Mendez TL, Chen Y, Carreras N, Begum S, Mendez K, Voisin S, Eynon N, Lasky-Su JA, Smith R, Teschendorff AE. A meta-analysis of immune-cell fractions at high resolution reveals novel associations with common phenotypes and health outcomes. Genome Med 2023; 15:59. [PMID: 37525279 PMCID: PMC10388560 DOI: 10.1186/s13073-023-01211-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 07/10/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Changes in cell-type composition of tissues are associated with a wide range of diseases and environmental risk factors and may be causally implicated in disease development and progression. However, these shifts in cell-type fractions are often of a low magnitude, or involve similar cell subtypes, making their reliable identification challenging. DNA methylation profiling in a tissue like blood is a promising approach to discover shifts in cell-type abundance, yet studies have only been performed at a relatively low cellular resolution and in isolation, limiting their power to detect shifts in tissue composition. METHODS Here we derive a DNA methylation reference matrix for 12 immune-cell types in human blood and extensively validate it with flow-cytometric count data and in whole-genome bisulfite sequencing data of sorted cells. Using this reference matrix, we perform a directional Stouffer and fixed effects meta-analysis comprising 23,053 blood samples from 22 different cohorts, to comprehensively map associations between the 12 immune-cell fractions and common phenotypes. In a separate cohort of 4386 blood samples, we assess associations between immune-cell fractions and health outcomes. RESULTS Our meta-analysis reveals many associations of cell-type fractions with age, sex, smoking and obesity, many of which we validate with single-cell RNA sequencing. We discover that naïve and regulatory T-cell subsets are higher in women compared to men, while the reverse is true for monocyte, natural killer, basophil, and eosinophil fractions. Decreased natural killer counts associated with smoking, obesity, and stress levels, while an increased count correlates with exercise and sleep. Analysis of health outcomes revealed that increased naïve CD4 + T-cell and N-cell fractions associated with a reduced risk of all-cause mortality independently of all major epidemiological risk factors and baseline co-morbidity. A machine learning predictor built only with immune-cell fractions achieved a C-index value for all-cause mortality of 0.69 (95%CI 0.67-0.72), which increased to 0.83 (0.80-0.86) upon inclusion of epidemiological risk factors and baseline co-morbidity. CONCLUSIONS This work contributes an extensively validated high-resolution DNAm reference matrix for blood, which is made freely available, and uses it to generate a comprehensive map of associations between immune-cell fractions and common phenotypes, including health outcomes.
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Affiliation(s)
- Qi Luo
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Varun B Dwaraka
- TruDiagnostics, 881 Corporate Dr., Lexington, KY, 40503, USA
| | - Qingwen Chen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Huige Tong
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Tianyu Zhu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China
| | - Kirsten Seale
- Institute for Health and Sport (iHeS), Victoria University, Footscray, VIC, 3011, Australia
| | - Joseph M Raffaele
- PhysioAge LLC, 30 Central Park South / Suite 8A, New York, NY, 10019, USA
| | - Shijie C Zheng
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Tavis L Mendez
- TruDiagnostics, 881 Corporate Dr., Lexington, KY, 40503, USA
| | - Yulu Chen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | | | - Sofina Begum
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Kevin Mendez
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Sarah Voisin
- Institute for Health and Sport (iHeS), Victoria University, Footscray, VIC, 3011, Australia
| | - Nir Eynon
- Australian Regenerative Medicine Institute, Monash University, Clayton, VIC, 3800, Australia
| | - Jessica A Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
| | - Ryan Smith
- TruDiagnostics, 881 Corporate Dr., Lexington, KY, 40503, USA.
| | - Andrew E Teschendorff
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
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12
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Wen X, Palma-Gudiel H, Miao G, Chen M, Huo Z, Peng H, Anton S, Hu G, Brock R, Brantley PJ, Zhao J. DNA methylation is differentially associated with glycemic outcomes by different types of weight-loss interventions: an epigenome-wide association study. Clin Epigenetics 2023; 15:108. [PMID: 37393279 PMCID: PMC10314401 DOI: 10.1186/s13148-023-01522-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 06/19/2023] [Indexed: 07/03/2023] Open
Abstract
BACKGROUND Alterations in DNA methylation (DNAm) have been reported to be a mechanism by which bariatric surgeries resulted in considerable metabolic improvements. Previous studies have mostly focused on change in DNAm following weight-loss interventions, yet whether DNAm prior to intervention can explain the variability in glycemic outcomes has not been investigated. Here, we aim to examine whether baseline DNAm is differentially associated with glycemic outcomes induced by different types of weight-loss interventions. METHODS Participants were 75 adults with severe obesity who underwent non-surgical intensive medical intervention (IMI), adjustable gastric band (BAND) or Roux-en-Y gastric bypass (RYGB) (n = 25 each). Changes in fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c) were measured at 1-year after intervention. DNAm was quantified by Illumina 450 K arrays in baseline peripheral blood DNA. Epigenome-wide association studies were performed to identify CpG probes that modify the effects of different weight-loss interventions on glycemic outcomes, i.e., changes in FPG and HbA1c, by including an interaction term between types of intervention and DNAm. Models were adjusted for weight loss and baseline clinical factors. RESULTS Baseline DNAm levels at 3216 and 117 CpGs were differentially associated with changes in FPG and HbA1c, respectively, when comparing RYGB versus IMI. Of these, 79 CpGs were significant for both FPG and HbA1c. The identified genes are enriched in adaptive thermogenesis, temperature homeostasis and regulation of cell population proliferation. Additionally, DNAm at 6 CpGs was differentially associated with changes in HbA1c when comparing RYGB versus BAND. CONCLUSIONS Baseline DNAm is differentially associated with glycemic outcomes in response to different types of weight-loss interventions, independent of weight loss and other clinical factors. Such findings provided initial evidence that baseline DNAm levels may serve as potential biomarkers predictive of differential glycemic outcomes in response to different types of weight-loss interventions.
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Affiliation(s)
- Xiaoxiao Wen
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Road, CTRB 4230, Gainesville, FL, 32610, USA
| | - Helena Palma-Gudiel
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Road, CTRB 4230, Gainesville, FL, 32610, USA
| | - Guanhong Miao
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Road, CTRB 4230, Gainesville, FL, 32610, USA
| | - Mingjing Chen
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Road, CTRB 4230, Gainesville, FL, 32610, USA
| | - Zhiguang Huo
- Department of Biostatistics, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA
| | - Hao Peng
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Stephen Anton
- Department of Aging and Geriatric Research, University of Florida, Gainesville, FL, USA
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA
| | - Ricky Brock
- Behavioral Medicine Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA
| | - Phillip J Brantley
- Behavioral Medicine Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA
| | - Jinying Zhao
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Road, CTRB 4230, Gainesville, FL, 32610, USA.
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