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He C, Lu S, Yu H, Sun Y, Zhang X. Global, regional, and national disease burden attributable to high systolic blood pressure in youth and young adults: 2021 Global Burden of Disease Study analysis. BMC Med 2025; 23:74. [PMID: 39915840 PMCID: PMC11804021 DOI: 10.1186/s12916-025-03918-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 01/30/2025] [Indexed: 02/09/2025] Open
Abstract
BACKGROUND High systolic blood pressure (HSBP) can cause adverse cardiovascular events and is therefore associated with a heavy global disease burden. However, this disease burden is poorly understood in youth and young adults. We aimed to explore this population to better understand the evolving trends in HSBP-related disease burden, which is crucial for effectively controlling and mitigating harmful effects. METHODS This systematic analysis used data from the 2021 Global Burden of Disease Study, spanning 1990-2021. Participants were aged 15-39 years from 204 countries/territories. We analysed HSBP-related disease burden by region, sex, age, and temporal trends. The primary outcomes were disability-adjusted life years (DALYs), mortality rates, and estimated annual percentage change. RESULTS Globally, the number of HSBP-related deaths among youth and young adults has increased by 36.11% (95% uncertainty interval [95% UI], 20.96-52.37%), whereas the number of DALYs has increased by 37.68% (95% UI, 22.69-53.65%); however, global mortality and DALY rates have remained relatively stable. In 2021, the mortality and DALY rates were 4.29 (95% UI, 3.29-5.28) and 263.37 (95% UI, 201.40-324.46) per 100,000 population, respectively. The overall HSBP-related burden was higher in males than in females, with increasing and decreasing trends for males and females, respectively. Regionally, significant improvements in HSBP-related burden were observed in most high-sociodemographic index (SDI) regions, including high-income Asia Pacific (deaths: percentage change, - 72.65%; DALYs: percentage change, - 69.30%) and Western Europe (deaths: percentage change, - 72.89%; DALYs: percentage change, - 67.48%). In contrast, middle-SDI regions had the highest number of deaths and DALYs in 2021, whereas low-middle-SDI regions had the highest mortality and DALY rates. Furthermore, low-SDI regions experienced the largest increase in the number of deaths and DALYs. The HSBP-related burden increased with age; in addition, the proportion of deaths or DALYs due to ischaemic heart disease and stroke increased with age, reaching > 75% for those > 25 years of age. CONCLUSIONS The increase in global HSBP-related burden among youth and young adults indicates that current preventative efforts are insufficient. Therefore, targeted measures are needed to counter the trends in HSBP-related diseases and reduce disparities across regions and sexes.
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Affiliation(s)
- Chuan He
- Department of Laboratory Medicine, First Hospital of China Medical University, Shenyang, Liaoning Province, China
- National Clinical Research Center for Laboratory Medicine, First Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Saien Lu
- Department of Cardiology, First Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Haijie Yu
- Department of Cardiology, First Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Yingxian Sun
- Department of Cardiology, First Hospital of China Medical University, Shenyang, Liaoning Province, China.
| | - Xueyao Zhang
- Department of Cardiology, First Hospital of China Medical University, Shenyang, Liaoning Province, China.
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning Province, China.
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Lin B, Pan L, He H, Hu Y, Tu J, Zhang L, Cui Z, Ren X, Wang X, Nai J, Shan G. Heritability and genetic correlations of obesity indices and cardiometabolic traits in the Northern Chinese families. Ann Hum Genet 2025; 89:1-11. [PMID: 39239922 DOI: 10.1111/ahg.12578] [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: 05/23/2024] [Revised: 08/11/2024] [Accepted: 08/21/2024] [Indexed: 09/07/2024]
Abstract
OBJECTIVE This study aimed to investigate the heritability of various obesity indices and their shared genetic factors with cardiometabolic traits in the Chinese nuclear family. METHODS A total of 1270 individuals from 538 nuclear families were included in this cross-sectional study. Different indices were used to quantify fat mass and distribution, including body index mass (BMI), visceral fat index (VFI), and body fat percent (BFP). Heritability and genetic correlations for all quantitative traits were estimated using variance component models. The susceptibility-threshold model was utilized to estimate the heritability for binary traits. RESULTS Heritability estimates for obesity indices were highest for BMI (59%), followed by BFP (49%), and VFI (40%). Heritability estimates for continuous cardiometabolic traits varied from 24% to 50%. All obesity measures exhibited consistently significant positive genetic correlations with blood pressure, fasting blood glucose, and uric acid (rG range: 0.26-0.57). However, diverse genetic correlations between various obesity indices and lipid profiles were observed. Significant genetic correlations were limited to specific pairs: BFP and total cholesterol (rG = 0.24), BFP and low-density lipoprotein cholesterol (rG = 0.25), and VFI and triglyceride (rG = 0.33). CONCLUSION The genetic overlap between various obesity indices and cardiometabolic traits underscores the importance of pleiotropic genes. Further studies are warranted to investigate specific shared genetic and environmental factors between obesity and cardiometabolic diseases.
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Affiliation(s)
- Binbin Lin
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Yaoda Hu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Ji Tu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Ze Cui
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China
| | - Xiaolan Ren
- Department of Chronic and Noncommunicable Disease Prevention and Control, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, China
| | - Xianghua Wang
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences, Tianjin, China
| | - Jing Nai
- Clinical Laboratory, Beijing Hepingli Hospital, Beijing, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Benak D, Sevcikova A, Holzerova K, Hlavackova M. FTO in health and disease. Front Cell Dev Biol 2024; 12:1500394. [PMID: 39744011 PMCID: PMC11688314 DOI: 10.3389/fcell.2024.1500394] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Accepted: 12/05/2024] [Indexed: 01/04/2025] Open
Abstract
Fat mass and obesity-associated (FTO) protein, a key enzyme integral to the dynamic regulation of epitranscriptomic modifications in RNAs, significantly influences crucial RNA lifecycle processes, including splicing, export, decay, and translation. The role of FTO in altering the epitranscriptome manifests across a spectrum of physiological and pathological conditions. This review aims to consolidate current understanding regarding the implications of FTO in health and disease, with a special emphasis on its involvement in obesity and non-communicable diseases associated with obesity, such as diabetes, cardiovascular disease, and cancer. It also summarizes the established molecules with FTO-inhibiting activity. Given the extensive impact of FTO on both physiology and pathophysiology, this overview provides illustrative insights into its roles, rather than an exhaustive account. A proper understanding of FTO function in human diseases could lead to new treatment approaches, potentially unlocking novel avenues for addressing both metabolic disorders and malignancies. The evolving insights into FTO's regulatory mechanisms hold great promise for future advancements in disease treatment and prevention.
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Affiliation(s)
| | | | | | - Marketa Hlavackova
- Laboratory of Developmental Cardiology, Institute of Physiology of the Czech Academy of Sciences, Prague, Czechia
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Siew ED, Hellwege JN, Hung AM, Birkelo BC, Vincz AJ, Parr SK, Denton J, Greevy RA, Robinson-Cohen C, Liu H, Susztak K, Matheny ME, Velez Edwards DR. Genome-wide association study of hospitalized patients and acute kidney injury. Kidney Int 2024; 106:291-301. [PMID: 38797326 PMCID: PMC11260539 DOI: 10.1016/j.kint.2024.04.019] [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: 06/29/2023] [Revised: 03/15/2024] [Accepted: 04/05/2024] [Indexed: 05/29/2024]
Abstract
Acute kidney injury (AKI) is a common and devastating complication of hospitalization. Here, we identified genetic loci associated with AKI in patients hospitalized between 2002-2019 in the Million Veteran Program and data from Vanderbilt University Medical Center's BioVU. AKI was defined as meeting a modified KDIGO Stage 1 or more for two or more consecutive days or kidney replacement therapy. Control individuals were required to have one or more qualifying hospitalizations without AKI and no evidence of AKI during any other observed hospitalizations. Genome-wide association studies (GWAS), stratified by race, adjusting for sex, age, baseline estimated glomerular filtration rate (eGFR), and the top ten principal components of ancestry were conducted. Results were meta-analyzed using fixed effects models. In total, there were 54,488 patients with AKI and 138,051 non-AKI individuals included in the study. Two novel loci reached genome-wide significance in the meta-analysis: rs11642015 near the FTO locus on chromosome 16 (obesity traits) (odds ratio 1.07 (95% confidence interval, 1.05-1.09)) and rs4859682 near the SHROOM3 locus on chromosome 4 (glomerular filtration barrier integrity) (odds ratio 0.95 (95% confidence interval, 0.93-0.96)). These loci colocalized with previous studies of kidney function, and genetic correlation indicated significant shared genetic architecture between AKI and eGFR. Notably, the association at the FTO locus was attenuated after adjustment for BMI and diabetes, suggesting that this association may be partially driven by obesity. Both FTO and the SHROOM3 loci showed nominal evidence of replication from diagnostic-code-based summary statistics from UK Biobank, FinnGen, and Biobank Japan. Thus, our large GWA meta-analysis found two loci significantly associated with AKI suggesting genetics may explain some risk for AKI.
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Affiliation(s)
- Edward D Siew
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA.
| | - Jacklyn N Hellwege
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adriana M Hung
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA
| | - Bethany C Birkelo
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA
| | - Andrew J Vincz
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA
| | - Sharidan K Parr
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA
| | - Jason Denton
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA
| | - Robert A Greevy
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Cassianne Robinson-Cohen
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA
| | - Hongbo Liu
- Division of Renal Electrolyte and Hypertension, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA; Philadelphia Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Katalin Susztak
- Division of Renal Electrolyte and Hypertension, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA; Philadelphia Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Michael E Matheny
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Digna R Velez Edwards
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Dong Z, Zhao H, DeWan AT. A mediation analysis framework based on variance component to remove genetic confounding effect. J Hum Genet 2024; 69:301-309. [PMID: 38528049 DOI: 10.1038/s10038-024-01232-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 03/27/2024]
Abstract
Identification of pleiotropy at the single nucleotide polymorphism (SNP) level provides valuable insights into shared genetic signals among phenotypes. One approach to study these signals is through mediation analysis, which dissects the total effect of a SNP on the outcome into a direct effect and an indirect effect through a mediator. However, estimated effects from mediation analysis can be confounded by the genetic correlation between phenotypes, leading to inaccurate results. To address this confounding effect in the context of genetic mediation analysis, we propose a restricted-maximum-likelihood (REML)-based mediation analysis framework called REML-mediation, which can be applied to either individual-level or summary statistics data. Simulations demonstrated that REML-mediation provides unbiased estimates of the true cross-trait causal effect, assuming certain assumptions, albeit with a slightly inflated standard error compared to traditional linear regression. To validate the effectiveness of REML-mediation, we applied it to UK Biobank data and analyzed several mediator-outcome trait pairs along with their corresponding sets of pleiotropic SNPs. REML-mediation successfully identified and corrected for genetic confounding effects in these trait pairs, with correction magnitudes ranging from 7% to 39%. These findings highlight the presence of genetic confounding effects in cross-trait epidemiological studies and underscore the importance of accounting for them in data analysis.
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Affiliation(s)
- Zihan Dong
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
| | - Andrew T DeWan
- Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, CT, USA.
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
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Słomiński B, Skrzypkowska M, Myśliwiec M, Trzonkowski P. Associations of the obesity gene FTO variant with complications and comorbidities in patients with type 1 diabetes. Diabetes Res Clin Pract 2024; 211:111683. [PMID: 38663549 DOI: 10.1016/j.diabres.2024.111683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/18/2024] [Accepted: 04/22/2024] [Indexed: 04/30/2024]
Abstract
BACKGROUND AND AIMS Because FTO gene is connected with the risk of obesity, cardiovascular disease and hypertension, as well as type 2 diabetes, we hypothesize that the rs9939609 FTO polymorphism may affect type 1 diabetes (T1D) complications and comorbidities. METHODS We have investigated the associations of the FTO gene variant with the T1D and its complications and comorbidities, as well as the serum levels of pro- and anti-inflammatory markers and lipid profiles. RESULTS The key results of our study are as follows: (1) the rs9939609 FTO polymorphism does not predispose individuals to T1D; (2) AA genotype is associated with an increased risk of overweight and obesity, retinopathy, hypertension, dyslipidemia and celiac disease; (3) AT genotype is associated with a decreased risk of retinopathy and celiac disease, whereas TT genotype is connected with decreased risk of dyslipidemia; (4) the FTO rs9939609 polymorphism affects the inflammatory status as well as lipid profile in T1D patients. CONCLUSIONS Our results, for the first time, comprehensively indicate that the rs9939609 FTO polymorphism could be considered a genetic marker for increased susceptibility to T1D complications and comorbidities as well as suggests importance of FTO-mediated pathways in their etiology.
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Affiliation(s)
- Bartosz Słomiński
- Department of Medical Immunology, Faculty of Medicine, Medical University of Gdańsk, Dębinki 1, 80-211 Gdańsk, Poland.
| | - Maria Skrzypkowska
- Department of Medical Immunology, Faculty of Medicine, Medical University of Gdańsk, Dębinki 1, 80-211 Gdańsk, Poland
| | - Małgorzata Myśliwiec
- Chair & Clinics of Paediatrics, Diabetology and Endocrinology, Faculty of Medicine, Medical University of Gdańsk, Dębinki 7, 80-211 Gdańsk, Poland
| | - Piotr Trzonkowski
- Department of Medical Immunology, Faculty of Medicine, Medical University of Gdańsk, Dębinki 1, 80-211 Gdańsk, Poland
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Chen H, Zhao X, Yang W, Zhang Q, Hao R, Jiang S, Han H, Yu Z, Xing S, Feng C, Wang Q, Lu H, Li Y, Quan C, Lu Y, Zhou G. RNA N6-methyladenosine modification-based biomarkers for absorbed ionizing radiation dose estimation. Nat Commun 2023; 14:6912. [PMID: 37903783 PMCID: PMC10616291 DOI: 10.1038/s41467-023-42665-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 10/18/2023] [Indexed: 11/01/2023] Open
Abstract
Radiation triage and biological dosimetry are critical for the medical management of massive potentially exposed individuals following radiological accidents. Here, we performed a genome-wide screening of radiation-responding mRNAs, whose N6-methyladenosine (m6A) levels showed significant alteration after acute irradiation. The m6A levels of three genes, Ncoa4, Ate1 and Fgf22, in peripheral blood mononuclear cells (PBMCs) of mice showed excellent dose-response relationships and could serve as biomarkers of radiation exposure. Especially, the RNA m6A of Ncoa4 maintained a high level as long as 28 days after irradiation. We demonstrated its responsive specificity to radiation, conservation across the mice, monkeys and humans, and the dose-response relationship in PBMCs from cancer patients receiving radiation therapy. Finally, NOCA4 m6A-based biodosimetric models were constructed for estimating absorbed radiation doses in mice or humans. Collectively, this study demonstrated the potential feasibility of RNA m6A in radiation accidents management and clinical applications.
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Affiliation(s)
- Hongxia Chen
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
| | - Xi Zhao
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
| | - Wei Yang
- Department of Radiation Oncology, the First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Qi Zhang
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
- School of Medicine, University of South China, Hengyang City, Hunan Province, China
| | - Rongjiao Hao
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
- School of Life Science, University of Hebei, Baoding City, Hebei Province, China
| | - Siao Jiang
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
- School of Life Science, University of Hebei, Baoding City, Hebei Province, China
| | - Huihui Han
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
| | - Zuyin Yu
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
| | - Shuang Xing
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
| | - Changjiang Feng
- Department of Thoracic Surgery, the First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Qianqian Wang
- Department of Radiation Oncology, the First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Hao Lu
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
| | - Yuanfeng Li
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
| | - Cheng Quan
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
| | - Yiming Lu
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China.
- School of Life Science, University of Hebei, Baoding City, Hebei Province, China.
| | - Gangqiao Zhou
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China.
- School of Medicine, University of South China, Hengyang City, Hunan Province, China.
- School of Life Science, University of Hebei, Baoding City, Hebei Province, China.
- Collaborative Innovation Center for Personalized Cancer Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China.
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Pérez-Gimeno G, Seral-Cortes M, Sabroso-Lasa S, Esteban LM, Lurbe E, Béghin L, Gottrand F, Meirhaeghe A, Muntaner M, Kafatos A, Molnár D, Leclercq C, Widhalm K, Kersting M, Nova E, Salazar-Tortosa DF, Gonzalez-Gross M, Breidenassel C, Sinningen K, De Ruyter T, Labayen I, Rupérez AI, Bueno-Lozano G, Moreno LA. Development of a genetic risk score to predict the risk of hypertension in European adolescents from the HELENA study. Front Cardiovasc Med 2023; 10:1118919. [PMID: 37324619 PMCID: PMC10267871 DOI: 10.3389/fcvm.2023.1118919] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 05/11/2023] [Indexed: 06/17/2023] Open
Abstract
Introduction From genome wide association study (GWAS) a large number of single nucleotide polymorphisms (SNPs) have previously been associated with blood pressure (BP) levels. A combination of SNPs, forming a genetic risk score (GRS) could be considered as a useful genetic tool to identify individuals at risk of developing hypertension from early stages in life. Therefore, the aim of our study was to build a GRS being able to predict the genetic predisposition to hypertension (HTN) in European adolescents. Methods Data were extracted from the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study. A total of 869 adolescents (53% female), aged 12.5-17.5, with complete genetic and BP information were included. The sample was divided into altered (≥130 mmHg for systolic and/or ≥80 mmHg for diastolic) or normal BP. Based on the literature, a total of 1.534 SNPs from 57 candidate genes related with BP were selected from the HELENA GWAS database. Results From 1,534 SNPs available, An initial screening of SNPs univariately associated with HTN (p < 0.10) was established, to finally obtain a number of 16 SNPs significantly associated with HTN (p < 0.05) in the multivariate model. The unweighted GRS (uGRS) and weighted GRS (wGRS) were estimated. To validate the GRSs, the area under the curve (AUC) was explored using ten-fold internal cross-validation for uGRS (0.802) and wGRS (0.777). Further covariates of interest were added to the analyses, obtaining a higher predictive ability (AUC values of uGRS: 0.879; wGRS: 0.881 for BMI z-score). Furthermore, the differences between AUCs obtained with and without the addition of covariates were statistically significant (p < 0.05). Conclusions Both GRSs, the uGRS and wGRS, could be useful to evaluate the predisposition to hypertension in European adolescents.
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Affiliation(s)
- Gloria Pérez-Gimeno
- Growth, Exercise, NUtrition and Development (GENUD), Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Seral-Cortes
- Growth, Exercise, NUtrition and Development (GENUD), Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Sergio Sabroso-Lasa
- Genetic and Molecular Epidemiology Group (GMEG), Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | | | - Empar Lurbe
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- INCLIVA Biomedical Research Institute, Pediatric Department, Consorcio Hospital General, University of Valencia, Valencia, Spain
| | - Laurent Béghin
- Université Lille, Inserm, CHU Lille, INFINITE—Institute for Translational Research in Inflammation, Lille, France
| | - Frederic Gottrand
- Université Lille, Inserm, CHU Lille, INFINITE—Institute for Translational Research in Inflammation, Lille, France
| | - Aline Meirhaeghe
- Risk Factors and Molecular Determinants of Aging-Related Diseases (RID-AGE), Centre Hosp. Univ Lille, Institut Pasteur de Lille, Université de Lille, Lille, France
| | - Manon Muntaner
- Risk Factors and Molecular Determinants of Aging-Related Diseases (RID-AGE), Centre Hosp. Univ Lille, Institut Pasteur de Lille, Université de Lille, Lille, France
| | - Anthony Kafatos
- Department of Social Medicine, Preventive Medicine and Nutrition Clinic, University of Crete School of Medicine, Heraklion, Greece
| | - Dénes Molnár
- Department of Pediatrics, University of Pecs, Pecs, Hungary
| | - Catherine Leclercq
- INRAN, National Research Institute for Food and Nutrition, Food and Nutrition Research Centre-Council for Agricultural Research and Economics, Rome, Italy
| | - Kurt Widhalm
- Division of Clinical Nutrition and Prevention, Department of Pediatrics, Medical University of Vienna, Vienna, Austria
| | - Mathilde Kersting
- Departement of Nutrition—Human Nutrition, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Esther Nova
- Department of Metabolism and Nutrition, Institute of Food Science and Technology and Nutrition (ICTAN), CSIC, Madrid, Spain
| | - Diego F. Salazar-Tortosa
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, United States
- PROFITH ‘PROmoting FITness and Health Through Physical Activity’ Research Group, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Marcela Gonzalez-Gross
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- ImFine Research Group, Department of Health and Human Performance, Facultad de Ciencias de la Actividad Física y del Deporte-INEF, Universidad Politécnica de Madrid, Madrid, Spain
| | - Christina Breidenassel
- Departement of Nutrition—Human Nutrition, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
- ImFine Research Group, Department of Health and Human Performance, Facultad de Ciencias de la Actividad Física y del Deporte-INEF, Universidad Politécnica de Madrid, Madrid, Spain
| | - Kathrin Sinningen
- Research Department of Child Nutrition, University Hospital of Pediatrics and Adolescent Medicine, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Thaïs De Ruyter
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Idoia Labayen
- Department of Health Sciences, Institute for Innovation & Sustainable Food Chain Development, Public University of Navarra, Pamplona, Spain
| | - Azahara I. Rupérez
- Growth, Exercise, NUtrition and Development (GENUD), Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, Zaragoza, Spain
| | - Gloria Bueno-Lozano
- Growth, Exercise, NUtrition and Development (GENUD), Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Luis A. Moreno
- Growth, Exercise, NUtrition and Development (GENUD), Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
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9
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Xu ZY, Jing X, Xiong XD. Emerging Role and Mechanism of the FTO Gene in Cardiovascular Diseases. Biomolecules 2023; 13:biom13050850. [PMID: 37238719 DOI: 10.3390/biom13050850] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/10/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
The fat mass and obesity-associated (FTO) gene was the first obesity-susceptibility gene identified through a genome-wide association study (GWAS). A growing number of studies have suggested that genetic variants of FTO are strongly associated with the risk of cardiovascular diseases, including hypertension and acute coronary syndrome. In addition, FTO was also the first N6-methyladenosine (m6A) demethylase, suggesting the reversible nature of m6A modification. m6A is dynamically deposited, removed, and recognized by m6A methylases, demethylases, and m6A binding proteins, respectively. By catalyzing m6A demethylation on mRNA, FTO may participate in various biological processes by modulating RNA function. Recent studies demonstrated that FTO plays a pivotal role in the initiation and progression of cardiovascular diseases such as myocardial fibrosis, heart failure, and atherosclerosis and may hold promise as a potential therapeutic target for treating or preventing a variety of cardiovascular diseases. Here, we review the association between FTO genetic variants and cardiovascular disease risk, summarize the role of FTO as an m6A demethylase in cardiovascular disorders, and discuss future research directions and possible clinical implications.
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Affiliation(s)
- Zi-Yang Xu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan 523808, China
| | - Xia Jing
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan 523808, China
| | - Xing-Dong Xiong
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan 523808, China
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10
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Hoseini Tavassol Z, Mousavi SM, Molaei B, Bandarian F, Ejtahed HS, Khalagi K, Ghannadi S, Larijani B, Hasani-Ranjbar S. Association of fat mass and obesity-associated ( FTO) gene polymorphisms with non-communicable diseases (NCDs) in the Iranian population: A systematic review of observational studies. J Diabetes Metab Disord 2022; 21:1975-1989. [PMID: 36404828 PMCID: PMC9672241 DOI: 10.1007/s40200-022-01139-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 10/03/2022] [Indexed: 10/31/2022]
Abstract
Background Single nucleotide polymorphisms have been implicated in various diseases, most notably non-communicable diseases (NCDs). The aim of this study was to review available evidence regarding associations between FTO polymorphisms and NCDs in the Iranian population. Methods A comprehensive search was conducted through PubMed/Medline and Scopus databases up to December 2021, as well as reference lists of pertinent articles and key journals. All observational studies that examined the association between FTO gene polymorphisms and NCDs in the Iranian population were included. There was no limitation on the publication year. The Newcastle-Ottawa Scale (NOS) was used to assess the study's quality. Results The initial search yielded 95 studies, of which 30 studies were included in the current systematic review. The underlying disorders were obesity, type 2 diabetes, breast and colorectal cancers, depression, and metabolic syndrome. These studies found an association between FTO gene polymorphisms and obesity in the Iranian population, but the relationship with other NCDs was debatable. Even though, other diseases such as diabetes and metabolic syndrome, which are closely related to obesity, may also be associated with FTO gene polymorphisms. Conclusion FTO gene polymorphism appears to play a role in the occurrence of NCDs. Some of the study results may be misleading due to ethnic differences and the effect of other genetic factors on disease onset, which needs to be investigated further. Finally, FTO gene polymorphisms can be studied as a preventive or therapeutic target. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-022-01139-4.
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Affiliation(s)
- Zahra Hoseini Tavassol
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Mohammad Mousavi
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Bahareh Molaei
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Bandarian
- Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institutes, Tehran University of Medical Sciences, Tehran, Iran
| | - Hanieh-Sadat Ejtahed
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Kazem Khalagi
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Shima Ghannadi
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Shirin Hasani-Ranjbar
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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11
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El Meouchy P, Wahoud M, Allam S, Chedid R, Karam W, Karam S. Hypertension Related to Obesity: Pathogenesis, Characteristics and Factors for Control. Int J Mol Sci 2022; 23:ijms232012305. [PMID: 36293177 PMCID: PMC9604511 DOI: 10.3390/ijms232012305] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/01/2022] [Accepted: 10/07/2022] [Indexed: 11/16/2022] Open
Abstract
The World Health Organization (WHO) refers to obesity as abnormal or excessive fat accumulation that presents a health risk. Obesity was first designated as a disease in 2012 and since then the cost and the burden of the disease have witnessed a worrisome increase. Obesity and hypertension are closely interrelated as abdominal obesity interferes with the endocrine and immune systems and carries a greater risk for insulin resistance, diabetes, hypertension, and cardiovascular disease. Many factors are at the interplay between obesity and hypertension. They include hemodynamic alterations, oxidative stress, renal injury, hyperinsulinemia, and insulin resistance, sleep apnea syndrome and the leptin-melanocortin pathway. Genetics, epigenetics, and mitochondrial factors also play a major role. The measurement of blood pressure in obese patients requires an adapted cuff and the search for other secondary causes is necessary at higher thresholds than the general population. Lifestyle modifications such as diet and exercise are often not enough to control obesity, and so far, bariatric surgery constitutes the most reliable method to achieve weight loss. Nonetheless, the emergence of new agents such as Semaglutide and Tirzepatide offers promising alternatives. Finally, several molecular pathways are actively being explored, and they should significantly extend the treatment options available.
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Affiliation(s)
- Paul El Meouchy
- Department of Internal Medicine, MedStar Health, Baltimore, MD 21218, USA
| | - Mohamad Wahoud
- Department of Internal Medicine, Tufts Medical Center, Boston, MA 02111, USA
| | - Sabine Allam
- Faculty of Medicine and Medical Sciences, University of Balamand, El Koura P.O. Box 100, Lebanon
| | - Roy Chedid
- College of Osteopathic Medicine, William Carey University, Hattiesburg, MS 39401, USA
| | - Wissam Karam
- Department of Internal Medicine, University of Kansas School of Medicine, Wichita, KS 67214, USA
| | - Sabine Karam
- Division of Nephrology and Hypertension, University of Minnesota, Minneapolis, MN 55414, USA
- Correspondence:
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12
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Takeuchi H, Jimbo H, Sumiyoshi A, Omori A, Nakane K, Tabuchi E. Differential Effect of Fat Intake on Blood Pressure in Healthy Japanese Women with and without the Variant of Fat Mass and Obesity-Associated Gene. J Oleo Sci 2022; 71:1511-1519. [PMID: 36089400 DOI: 10.5650/jos.ess22153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
A high-fat diet is believed to be a risk factor for hypertension through inducing obesity. It has been reported that variants of the fat mass and obesity-associated (FTO) and beta-3 adrenergic receptor (B3AR) genes are associated with obesity and blood pressure. The purpose of this study was to investigate the effect of dietary fat on blood pressure with or without the variant of the FTO and B3AR genes. A total of 227 healthy Japanese women aged 18 to 64 years were recruited for measurement of nutrient intake and blood pressure. The single nucleotide polymorphism rs9939609 of the FTO gene and rs4994 of the B3AR gene were genotyped. Spearman's rank correlation coefficient was applied to investigate the relationship between fat intake and blood pressure. A hierarchical multiple regression analysis was performed to determine whether the genotype interacts with fat intake to affect blood pressure. No significant correlations were found between fat intake and either systolic or diastolic blood pressure. A significant negative correlation was found between fat intake and both blood pressures in the FTO-gene-variant group, but not in the normal-FTO-gene group. In hierarchical multiple regression analysis, the interaction of fat intake and the gene variant showed significance, and the change in coefficient of determination (R 2) was significantly increased with increases of the interaction variable. These results indicate that the effect of fat intake on blood pressure may be modified by the variant of the FTO gene such that a high-fat diet intake may be associated with a decrease of systolic and diastolic blood pressure in healthy Japanese women with the FTO variant. Our results did not support the hypothesis that a high-fat diet increases blood pressure.
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Affiliation(s)
| | - Hiroko Jimbo
- Department of Food and Nutrition, Toyama College
| | - Ai Sumiyoshi
- Department of Food and Nutrition, Toyama College
| | - Akira Omori
- Department of Food and Nutrition, Toyama College
| | - Kazue Nakane
- Department of Food and Nutrition, Toyama College
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13
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Joseph A, Thirupathamma M, Mathews E, Alagu M. Genetics of type 2 diabetes mellitus in Indian and Global Population: A Review. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2022; 23:135. [PMID: 37192883 PMCID: PMC9438889 DOI: 10.1186/s43042-022-00346-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 08/21/2022] [Indexed: 11/10/2022] Open
Abstract
Background Non-communicable diseases such as cardiovascular diseases, respiratory diseases and diabetes contribute to the majority of deaths in India. Public health programmes on non-communicable diseases (NCD) prevention primarily target the behavioural risk factors of the population. Hereditary is known as a risk factor for most NCDs, specifically, type 2 diabetes mellitus (T2DM), and hence, understanding of the genetic markers of T2DM may facilitate prevention, early case detection and management. Main body We reviewed the studies that explored marker-trait association with type 2 diabetes mellitus globally, with emphasis on India. Globally, single nucleotide polymorphisms (SNPs) rs7903146 of Transcription Factor 7-like 2 (TCF7L2) gene was common, though there were alleles that were unique to specific populations. Within India, the state-wise data were also taken to foresee the distribution of risk/susceptible alleles. The findings from India showcased the common and unique alleles for each region. Conclusion Exploring the known and unknown genetic determinants might assist in risk prediction before the onset of behavioural risk factors and deploy prevention measures. Most studies were conducted in non-representative groups with inherent limitations such as smaller sample size or looking into only specific marker-trait associations. Genome-wide association studies using data from extensive prospective studies are required in highly prevalent regions worldwide. Further research is required to understand the singular effect and the interaction of genes in predicting diabetes mellitus and other comorbidities.
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Affiliation(s)
- Anjaly Joseph
- Department of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala 671320 India
| | - Maradana Thirupathamma
- Department of Genomic Science, Central University of Kerala, Kasaragod, Kerala 671320 India
| | - Elezebeth Mathews
- Department of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala 671320 India
| | - Manickavelu Alagu
- Department of Genomic Science, Central University of Kerala, Kasaragod, Kerala 671320 India
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14
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Highlights of mechanisms and treatment of obesity-related hypertension. J Hum Hypertens 2022; 36:785-793. [PMID: 35001082 DOI: 10.1038/s41371-021-00644-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 11/19/2021] [Accepted: 11/24/2021] [Indexed: 12/20/2022]
Abstract
The prevalence of obesity has increased two to three times from 1975 to 2015. Large-scale epidemiological and longitudinal prospective studies link obesity with hypertension. Research suggests that excessive weight gain, particularly when associated with visceral adiposity, may account for as much as 65% to 75% of the risk of incident hypertension. Also, exercise and bariatric/metabolic surgery significantly lowers blood pressure, whereas weight gain increases blood pressure, thus establishing a firm link between these two factors. The mechanisms underpinning obesity-related hypertension are complex and multifaceted, and include, but are not limited to, renin-angiotensin-aldosterone system/sympathetic nervous system overactivation, overstimulation of adipokines, insulin resistance, immune dysfunction, structural/functional renal, cardiac, and adipocyte changes. Though weight loss is the mainstay of treatment for obesity-related hypertension, it is often not a feasible long-term solution. Therefore, it is recommended that aggressive treatment with multiple antihypertensive medications combined with diet and exercise be used to lower blood pressure and prevent complications. The research regarding the mechanisms and treatment of obesity-related hypertension has moved at a blistering pace over the past ten years. Therefore, the purpose of this expert review is two-fold: to discuss the pathophysiological mechanisms underlying obesity-related hypertension, and to revisit pharmacotherapies that have been shown to be efficacious in patients with obesity-related hypertension.
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15
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Vaura F, Kim H, Udler MS, Salomaa V, Lahti L, Niiranen T, FinnGen*. Multi-Trait Genetic Analysis Reveals Clinically Interpretable Hypertension Subtypes. Circ Genom Precis Med 2022; 15:e003583. [PMID: 35604428 PMCID: PMC9558213 DOI: 10.1161/circgen.121.003583] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Hypertension comprises a heterogeneous range of phenotypes. We asked whether underlying genetic structure could explain a part of this heterogeneity.
Methods:
Our study sample comprised N=198 148 FinnGen participants (56% women, mean age 58 years) and N=21 168 well-phenotyped FINRISK participants (53% women, mean age 50 years). First, we identified genetic hypertension components with an unsupervised Bayesian non-negative matrix factorization algorithm using public genome-wide association data for 144 genetic hypertension variants and 16 clinical traits. For these components, we computed their (1) cross-sectional associations with clinical traits in FINRISK using linear regression and (2) longitudinal associations with incident adverse outcomes in FinnGen using Cox regression.
Results:
We observed 4 genetic hypertension components corresponding to recognizable clinical phenotypes: obesity (high body mass index), dyslipidemia (low high-density lipoprotein cholesterol and high triglycerides), hypolipidemia (low low-density lipoprotein cholesterol and low total cholesterol), and short stature. In FINRISK, all hypertension components had robust associations with their respective clinical characteristics. In FinnGen, the Obesity component was associated with increased diabetes risk (hazard ratio per 1 SD increase 1.08 [Bonferroni corrected CI, 1.05–1.10]) and the Hypolipidemia component with increased autoimmune disease risk (hazard ratio per 1 SD increase 1.05 [Bonferroni corrected CI, 1.03–1.07]). In addition, all hypertension components were related to both hypertension and cardiovascular disease.
Conclusions:
Our unsupervised analysis demonstrates that the genetic basis of hypertension can be understood as a mixture of 4 broad, clinically interpretable components capturing disease heterogeneity. These components could be used to stratify individuals into specific genetic subtypes and, therefore, to benefit personalized health care and pharmaceutical research.
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Affiliation(s)
- Felix Vaura
- Department of Internal Medicine (F.V., T.N.), University of Turku, Turku, Finland
| | - Hyunkyung Kim
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston (H.K., M.U.)
- Broad Institute of MIT and Harvard, Cambridge, MA (H.K., M.U.)
| | - Miriam S. Udler
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston (H.K., M.U.)
| | - Veikko Salomaa
- Department of Public Health & Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland (V.S., T.N.)
| | - Leo Lahti
- Department of Computing (L.L.), University of Turku, Turku, Finland
| | - Teemu Niiranen
- Department of Internal Medicine (F.V., T.N.), University of Turku, Turku, Finland
- Department of Public Health & Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland (V.S., T.N.)
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16
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San-Cristobal R, de Toro-Martín J, Vohl MC. Appraisal of Gene-Environment Interactions in GWAS for Evidence-Based Precision Nutrition Implementation. Curr Nutr Rep 2022; 11:563-573. [PMID: 35948824 PMCID: PMC9750926 DOI: 10.1007/s13668-022-00430-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW This review aims to analyse the currently reported gene-environment (G × E) interactions in genome-wide association studies (GWAS), involving environmental factors such as lifestyle and dietary habits related to metabolic syndrome phenotypes. For this purpose, the present manuscript reviews the available GWAS registered on the GWAS Catalog reporting the interaction between environmental factors and metabolic syndrome traits. RECENT FINDINGS Advances in omics-related analytical and computational approaches in recent years have led to a better understanding of the biological processes underlying these G × E interactions. A total of 42 GWAS were analysed, reporting over 300 loci interacting with environmental factors. Alcohol consumption, sleep time, smoking habit and physical activity were the most studied environmental factors with significant G × E interactions. The implementation of more comprehensive GWAS will provide a better understanding of the metabolic processes that determine individual responses to environmental exposures and their association with the development of chronic diseases such as obesity and the metabolic syndrome. This will facilitate the development of precision approaches for better prevention, management and treatment of these diseases.
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Affiliation(s)
- Rodrigo San-Cristobal
- grid.23856.3a0000 0004 1936 8390Centre Nutrition, Santé Et Société (NUTRISS), Institut Sur La Nutrition Et Les Aliments Fonctionnels (INAF), Université Laval, Québec, QC Canada ,grid.23856.3a0000 0004 1936 8390School of Nutrition, Université Laval, Quebec, QC G1V 0A6 Canada
| | - Juan de Toro-Martín
- grid.23856.3a0000 0004 1936 8390Centre Nutrition, Santé Et Société (NUTRISS), Institut Sur La Nutrition Et Les Aliments Fonctionnels (INAF), Université Laval, Québec, QC Canada ,grid.23856.3a0000 0004 1936 8390School of Nutrition, Université Laval, Quebec, QC G1V 0A6 Canada
| | - Marie-Claude Vohl
- grid.23856.3a0000 0004 1936 8390Centre Nutrition, Santé Et Société (NUTRISS), Institut Sur La Nutrition Et Les Aliments Fonctionnels (INAF), Université Laval, Québec, QC Canada ,grid.23856.3a0000 0004 1936 8390School of Nutrition, Université Laval, Quebec, QC G1V 0A6 Canada
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Falbová D, Vorobeľová L, Siváková D, Beňuš R. Association between FTO (rs17817449) genetic variant, gamma-glutamyl transferase, and hypertension in Slovak midlife women. Am J Hum Biol 2021; 34:e23672. [PMID: 34436809 DOI: 10.1002/ajhb.23672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 05/11/2021] [Accepted: 08/13/2021] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVES This cross-sectional study investigates associations between the FTO rs 17817449 genetic variant, liver enzymes, and hypertension in Slovak midlife women. METHODS We assessed 576 Slovak women aged 39 to 65 years. The women were interviewed and examined during their medical examination at local Health Centers and then divided into subgroups according to their blood pressure status; 255 women with hypertension and 321 normotensive. The FTO genetic variant was detected by polymerase chain reaction-restriction fragment length polymorphism. Resultant data was analyzed by linear regression analysis and general linear models to adjust for risk factors associated with gamma-glutamyl transferase levels (GGT), including waist to hip ratio (WHR) and uric acid (UA). RESULTS A significant association between the FTO variant and GGT levels was observed in the hypertensive group after control for confounding covariates, including WHR and UA (p = .004). The predicted GGT level for GT/TT hypertensive carriers is 0.158 μkat/L higher than for GG carriers. Moreover, the two-way analysis of covariance revealed significant interaction between FTO effects and hypertension on logGGT levels (p = .042). Finally, hypertensive women with the T-allele had the highest estimated marginal mean value of logGGT at -0.39 μkat/L while the GG-genotype in both hypertensive and normotensive women had the lowest value at -0.54 μkat/L. CONCLUSIONS This study suggests that the FTO (rs17817449) variant is associated with higher serum GGT levels in hypertensive midlife women.
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Affiliation(s)
- Darina Falbová
- Department of Anthropology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovakia
| | - Lenka Vorobeľová
- Department of Anthropology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovakia
| | - Daniela Siváková
- Department of Anthropology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovakia
| | - Radoslav Beňuš
- Department of Anthropology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovakia
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Xi Y, Gao W, Zheng K, Lv J, Yu C, Wang S, Huang T, Sun D, Liao C, Pang Y, Pang Z, Yu M, Wang H, Wu X, Dong Z, Wu F, Jiang G, Wang X, Liu Y, Deng J, Lu L, Cao W, Li L. The Roles of Genetic and Early-Life Environmental Factors in the Association Between Overweight or Obesity and Hypertension: A Population-Based Twin Study. Front Endocrinol (Lausanne) 2021; 12:743962. [PMID: 34675880 PMCID: PMC8525506 DOI: 10.3389/fendo.2021.743962] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 09/15/2021] [Indexed: 01/14/2023] Open
Abstract
AIMS/HYPOTHESIS We aimed to explore whether and to what extent overweight or obesity could increase the risk of hypertension, and further to estimate the roles of genetic and early-life familial environmental factors in their association. METHODS This prospective twin study was based on the Chinese National Twin Registry (CNTR), which collected information from self-report questionnaires. We conducted unmatched case-control analysis to examine the association between overweight or obesity and hypertension. And further to explore whether genetics and familiar environments shared within a twin pair, accounted for their association via co-twin matched case-control design. Generalized estimating equation (GEE) models and conditional logistic regressions were used in the unmatched and matched analyses, respectively. Then, we used logistic regressions to test the difference in odds ratios (ORs) between the unmatched and matched analyses. Finally, through bivariate twin model, the roles of genetic and environmental factors in the body mass index (BMI)- hypertension association were estimated. RESULTS Overall, we included a total of 30,617 twin individuals, of which 7533 (24.6%) twin participants were overweight or obesity and 757 (2.5%) developed hypertension during a median follow-up time of 4.4 years. In the GEE model, overweight or obesity was associated with a 94% increased risk of hypertension (OR=1.94, 95% confidence interval (CI): 1.64~2.30). In the conditional logistic regression, the multi-adjusted OR was 1.80 (95% CI: 1.18~2.74). The difference in OR between unmatched and matched analyses was significant (P=0.016). Specifically, overweight or obesity was not associated with hypertension risk in the co-twin design when we full controlled genetic and familiar environmental factors (OR=0.89, 95 CI: 0.46~1.72). After controlling for age and sex, we found the positive BMI-hypertension association was mainly explained by a genetic correlation between them (rA= 0.59, 95% CI: 0.44~1.00). CONCLUSIONS/INTERPRETATION Genetics and early-life environments shared by participants within a twin pair appear to account for the association between overweight or obesity and hypertension risk.
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Affiliation(s)
- Yu’e Xi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- *Correspondence: Wenjing Gao, ; Weihua Cao,
| | - Ke Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Chunxiao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zengchang Pang
- Qingdao Municipal Center for Disease Control and Prevention , Qingdao, China
| | - Min Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Hua Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Xianping Wu
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Zhong Dong
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Fan Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Guohong Jiang
- Tianjin Centers for Disease Control and Prevention, Tianjin, China
| | - Xiaojie Wang
- Qinghai Center for Diseases Prevention and Control, Xining, China
| | - Yu Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin, China
| | - Jian Deng
- Handan Center for Disease Control and Prevention, Handan, China
| | - Lin Lu
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Weihua Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- *Correspondence: Wenjing Gao, ; Weihua Cao,
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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Man T, Nolte IM, Jaju D, Al-Anqoudi ZA, Muñoz ML, Hassan MO, Al-Yahyaee S, Bayoumi RA, Comuzzie AG, Floras JS, van Roon AM, Riese H, Albarwani S, Snieder H. Heritability and genetic correlations of obesity indices with ambulatory and office beat-to-beat blood pressure in the Oman Family Study. J Hypertens 2020; 38:1474-1480. [PMID: 32195815 PMCID: PMC7374053 DOI: 10.1097/hjh.0000000000002430] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To more precisely and comprehensively estimate the genetic and environmental correlations between various indices of obesity and BP. METHODS We estimated heritability and genetic correlations of obesity indices with BP in the Oman family study (n = 1231). Ambulatory and office beat-to-beat BP was measured and mean values for SBP and DBP during daytime, sleep, 24-h and 10 min at rest were calculated. Different indices were used to quantify obesity and fat distribution: BMI, percentage of body fat (%BF), waist circumference and waist-to-height ratio (WHtR). SOLAR software was used to perform univariate and bivariate quantitative genetic analyses adjusting for age, age, sex, age-sex and age--sex interactions. RESULTS Heritabilities of BP ranged from 30.2 to 38.2% for ambulatory daytime, 16.8--21.4% for sleeping time, 32.1--40.4% for 24-h and 22--24.4% for office beat-to-beat measurements. Heritabilities for obesity indices were 67.8% for BMI, 52.2% for %BF, 37.3% for waist circumference and 37.9% for WHtR. All obesity measures had consistently positive phenotypic correlations with ambulatory and office beat-to-beat SBP and DBP (r-range: 0.14--0.32). Genetic correlations of obesity indices with SBP and DBP were higher than environmental correlations (rG: 0.16--0.50; rE: 0.01--0.31). CONCLUSION The considerable genetic overlap between a variety of obesity indices and both ambulatory and office beat-to-beat BP highlights the relevance of pleiotropic genes. Future GWAS analyses should discover the specific genes both influencing obesity indices and BP to help unravel their shared genetic background.
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Affiliation(s)
- Tengfei Man
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Ilja M. Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Deepali Jaju
- College of Medicine and Health Sciences, Sultan Qaboos University, Muscat
| | - Zahir A.M. Al-Anqoudi
- Oman Family Study Research Centre, Directorate General of Health Services, Adakhlya Governorate, Nizwa
| | - M. Loretto Muñoz
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | | | - Said Al-Yahyaee
- Department of Biochemistry, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman
| | - Riad A. Bayoumi
- College of Medicine, Mohammed Bin Rashid University for Medicine and Health Science, Dubai, UAE
| | - Anthony G. Comuzzie
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - John S. Floras
- University Health Network and Mount Sinai Hospital Division of Cardiology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Arie M. van Roon
- Department of Vascular Medicine, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Harriëtte Riese
- Interdisciplinary Center Psychopathology and Emotion regulation, Department of Psychiatry, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Sulayma Albarwani
- College of Medicine and Health Sciences, Sultan Qaboos University, Muscat
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
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20
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Zhang B, Jiang H, Dong Z, Sun A, Ge J. The critical roles of m6A modification in metabolic abnormality and cardiovascular diseases. Genes Dis 2020; 8:746-758. [PMID: 34522705 PMCID: PMC8427257 DOI: 10.1016/j.gendis.2020.07.011] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/21/2020] [Accepted: 07/24/2020] [Indexed: 12/20/2022] Open
Abstract
N6-methyladenosine (m6A) RNA methylation is an emerging area of epigenetics, which is a reversible and dynamic modification mediating by ‘writers’ (methylase, adding methyl groups, METTL3, METTL14, and WTAP), ‘erasers’ (demethylase, deleting methyl groups, FTO and ALKBH5), and ‘readers’ (YTHDF1-3, YTHDC1 and YTHDC2). Recent studies in human, animal models and cell levels have disclosed a critical role of m6A modification in regulating the homeostasis of metabolic processes and cardiovascular function. Evidence from these studies identify m6A as a candidate of biomarker and therapeutic target for metabolic abnormality and cardiovascular diseases (CVD). Comprehensive understanding of the complexity of m6A regulation in metabolic diseases and CVD will be helpful for us to understand the pathogenesis of CVD. In this review, we discuss the regulatory role of m6A in metabolic abnormality and CVD. We will emphasize the clinical relevance of m6A dysregulation in CVD.
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Affiliation(s)
- Beijian Zhang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, PR China
- Shanghai Institute of Cardiovascular Diseases, Shanghai, 200003, PR China
- NHC Key Laboratory of Viral Heart Diseases, Shanghai, 200032, PR China
- Key Laboratory of Viral Heart Diseases, Chinese Academy of Medical Sciences, Shanghai, 200032, PR China
| | - Hao Jiang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, PR China
- Shanghai Institute of Cardiovascular Diseases, Shanghai, 200003, PR China
- NHC Key Laboratory of Viral Heart Diseases, Shanghai, 200032, PR China
- Key Laboratory of Viral Heart Diseases, Chinese Academy of Medical Sciences, Shanghai, 200032, PR China
| | - Zhen Dong
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, PR China
- Shanghai Institute of Cardiovascular Diseases, Shanghai, 200003, PR China
- NHC Key Laboratory of Viral Heart Diseases, Shanghai, 200032, PR China
- Key Laboratory of Viral Heart Diseases, Chinese Academy of Medical Sciences, Shanghai, 200032, PR China
| | - Aijun Sun
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, PR China
- Shanghai Institute of Cardiovascular Diseases, Shanghai, 200003, PR China
- Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433, PR China
- NHC Key Laboratory of Viral Heart Diseases, Shanghai, 200032, PR China
- Key Laboratory of Viral Heart Diseases, Chinese Academy of Medical Sciences, Shanghai, 200032, PR China
- Corresponding author. Department of Cardiology, Zhongshan Hospital, Fudan University, No. 1609 Xietu Road, District Xuhui, Shanghai, 200025, PR China.
| | - Junbo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, PR China
- Shanghai Institute of Cardiovascular Diseases, Shanghai, 200003, PR China
- Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433, PR China
- NHC Key Laboratory of Viral Heart Diseases, Shanghai, 200032, PR China
- Key Laboratory of Viral Heart Diseases, Chinese Academy of Medical Sciences, Shanghai, 200032, PR China
- Corresponding author. Shanghai Institute of Cardiovascular Diseases, No. 1609 Xietu Road, District Xuhui, Shanghai, 200025, PR China.
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21
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Chmurzynska A, Muzsik A, Krzyżanowska-Jankowska P, Mądry E, Walkowiak J, Bajerska J. PPARG and FTO polymorphism can modulate the outcomes of a central European diet and a Mediterranean diet in centrally obese postmenopausal women. Nutr Res 2019; 69:94-100. [PMID: 31675538 DOI: 10.1016/j.nutres.2019.08.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 05/27/2019] [Accepted: 08/06/2019] [Indexed: 01/15/2023]
Abstract
The aim of this study was to test the hypothesis that polymorphism of genes with the biggest effects on body mass (FTO and PPARG) can affect the results of dieting in centrally obese postmenopausal women. A total of 144 volunteers were randomized to a 16-week intervention with two hypocaloric diets: either a Mediterranean diet (MED) moderate in fat (37% total energy as fat) or the Central European diet (CED) moderate in carbohydrates (55% total energy as carbohydrates). The associations between FTO and PPARG polymorphism on the baseline body mass, body composition, blood pressure, lipid and non-lipid parameters, and their changes after the trial were analyzed. None of the examined baseline outcomes differed in the rs9939609 FTO subgroups; abdominal fat was higher in the minor (G) allele carriers of the PPARG rs1801282. After the intervention, in the CED group, the PPARG G allele carriers showed greater reductions in weight (-6.58 ± 0.61 vs -9.58 ± 0.83; P < .01), lean mass (-0.38 ± 0.29 vs -1.79 ± 0.38; P < .05) and high-density lipoprotein (HDL) cholesterol (-0.46 ± 0.77 vs -5.25 ± 1.49; P < .01) than the CC homozygotes, and the TT individuals of the rs9939609 FTO had greater reductions in diastolic blood pressure (-9.03 ± 1.78 vs. -7.58 ± 1.50; P < .05). In the MED group, greater reductions in abdominal fat were observed in the G allele carriers than in the CC homozygotes (-3.31 ± 0.26 vs. -4.23 ± 0.41; P < .05). PPARG and FTO polymorphism may affect the outcomes of the diets aimed at weight reduction in postmenopausal women.
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Affiliation(s)
- Agata Chmurzynska
- Institute of Human Nutrition and Dietetics, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 Poznan, Poland
| | - Agata Muzsik
- Institute of Human Nutrition and Dietetics, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 Poznan, Poland
| | - Patrycja Krzyżanowska-Jankowska
- First Subdepartment of Pediatrics, Department of Pediatric Gastroenterology and Metabolism, Poznan University of Medical Sciences, Szpitalna 27/33, 60-572 Poznan, Poland
| | - Edyta Mądry
- First Subdepartment of Pediatrics, Department of Pediatric Gastroenterology and Metabolism, Poznan University of Medical Sciences, Szpitalna 27/33, 60-572 Poznan, Poland
| | - Jarosław Walkowiak
- First Subdepartment of Pediatrics, Department of Pediatric Gastroenterology and Metabolism, Poznan University of Medical Sciences, Szpitalna 27/33, 60-572 Poznan, Poland
| | - Joanna Bajerska
- Institute of Human Nutrition and Dietetics, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 Poznan, Poland.
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22
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Kang Y, Liu F, Liu Y. Is FTO gene variant related to cancer risk independently of adiposity? An updated meta-analysis of 129,467 cases and 290,633 controls. Oncotarget 2017; 8:50987-50996. [PMID: 28881622 PMCID: PMC5584223 DOI: 10.18632/oncotarget.16446] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Accepted: 02/28/2017] [Indexed: 12/18/2022] Open
Abstract
Previous studies have examined the association between the fat mass and obesity-associated (FTO) gene variant and risk of cancer in diverse populations. However, the results have been inconsistent. PubMed and Embase databases were searched for the eligible publications in English language by July, 2016. The associations of FTO variants with cancer risk were estimated by calculating the pooled odds ratios and 95% confidence intervals by meta-analyses. A total of 27 publications (129,467 cancer cases and 290,633 normal controls) were included in our meta-analysis. Overall, FTO rs9939609 variant (or its proxy) was not associated with cancer risk without adjustment for body mass index, as well as additional adjustment for body mss index. However, FTO rs9939609 variant was associated with some types of cancer in the subgroup analysis. In addition, overall, there was no significant association between FTO rs1477196 variant and cancer risk regardless of adjustment for body mass index. However, FTO rs11075995 variant risk allele was associated with breast cancer risk without adjustment for body mass index, but the association disappeared with further adjustment for body mass index. This study overall does not support that the FTO variant is associated with cancer risk independently of the adiposity.
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Affiliation(s)
- Yu Kang
- Department of Oncology, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Fang Liu
- Department of Pharmacy, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Yao Liu
- Department of Pharmacy, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
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23
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Yang Q, Xiao T, Guo J, Su Z. Complex Relationship between Obesity and the Fat Mass and Obesity Locus. Int J Biol Sci 2017; 13:615-629. [PMID: 28539834 PMCID: PMC5441178 DOI: 10.7150/ijbs.17051] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2016] [Accepted: 03/24/2017] [Indexed: 12/15/2022] Open
Abstract
In the 21st century, obesity has become a serious problem because of increasing obese patients and numerous metabolic complications. The primary reasons for this situation are environmental and genetic factors. In 2007, FTO (fat mass and obesity associated) was the first gene identified through a genome-wide association study (GWAS) associated with obesity in humans. Subsequently, a cluster of single nucleotide polymorphisms (SNPs) in the first intron of the FTO gene was discovered to be associated with BMI and body composition. Various studies have explored the mechanistic basis behind this association. Thus, emerging evidence showed that FTO plays a key role regulating adipose tissue development and functions in body size and composition. Recent prevalent research topic concentrated in the three neighboring genes of FTO: RPGRIP1L, IRX3 and IRX5, as having a functional link between obesity-associated common variants within FTO and the observed human phenotypes. The purpose of this review is to present a comprehensive picture of the impact of FTO on obesity susceptibility and to illuminate these new studies of FTO function in adipose tissue.
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Affiliation(s)
- Qingyun Yang
- Key Research Center of Liver Regulation for Hyperlipidemia SATCM/Class III Laboratory of Metabolism SATCM, Guangdong TCM Key Laboratory for Metabolic Diseases, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Tiancun Xiao
- Inorganic Chemistry Laboratory, Oxford University, South Parks Road, OX1 3QR, United Kingdom.,Guangzhou Boxabio Technology Ltd, Guangzhou Science City, P R China
| | - Jiao Guo
- Key Research Center of Liver Regulation for Hyperlipidemia SATCM/Class III Laboratory of Metabolism SATCM, Guangdong TCM Key Laboratory for Metabolic Diseases, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Zhengquan Su
- Key Research Center of Liver Regulation for Hyperlipidemia SATCM/Class III Laboratory of Metabolism SATCM, Guangdong TCM Key Laboratory for Metabolic Diseases, Guangdong Pharmaceutical University, Guangzhou, 510006, China
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24
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TRPM8 downregulation by angiotensin II in vascular smooth muscle cells is involved in hypertension. Mol Med Rep 2017; 15:1900-1908. [PMID: 28138709 DOI: 10.3892/mmr.2017.6158] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Accepted: 12/08/2016] [Indexed: 11/05/2022] Open
Abstract
Angiotensin II (Ang II)-induced injury of vascular smooth muscle cells (VSMCs) serves an important role in hypertension and other cardiovascular disorders. Transient receptor potential melastatin 8 (TRPM8) is a thermally‑regulated Ca2+‑permeable channel that is activated by reduced body temperature. Although several recent studies have revealed the regulatory effect of TRPM8 in vascular tone and hypertension, the precise role of TRPM8 in dysfunction of vascular smooth muscle cells (VSMCs) induced by Ang II remains elusive. In the present study, the possible function of TRPM8 in Ang II‑induced VSMCs malfunction in vivo and in vitro was investigated. In the aortae from rats that had undergone a two‑kidney one‑clip operation, which is a widely‑used renovascular hypertension model, the mRNA and protein levels of TRPM8 were reduced. In addition, exogenous Ang II treatment decreased TRPM8 mRNA and protein expression levels in primary cultures of rat VSMCs. TRPM8 activation by menthol, a pharmacological agonist, in VSMCs, significantly attenuated the Ang II‑induced increase in reactive oxygen species and H2O2 production. In addition, TRPM8 activation reduced the Ang II‑induced upregulation of NADPH oxidase (NOX) 1 and NOX4 in VSMCs. Furthermore, TRPM8 activation relieved the Ang II‑induced activation of ras homolog gene family, member A‑rho associated protein kinase 2 and janus kinase 2 signaling pathways in VSMCs. In conclusion, the results presented in the current study indicated that TRPM8 downregulation by Ang II in VSMCs may be involved in hypertension.
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25
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Heffernan SM, Stebbings GK, Kilduff LP, Erskine RM, Day SH, Morse CI, McPhee JS, Cook CJ, Vance B, Ribbans WJ, Raleigh SM, Roberts C, Bennett MA, Wang G, Collins M, Pitsiladis YP, Williams AG. Fat mass and obesity associated (FTO) gene influences skeletal muscle phenotypes in non-resistance trained males and elite rugby playing position. BMC Genet 2017; 18:4. [PMID: 28103813 PMCID: PMC5248469 DOI: 10.1186/s12863-017-0470-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 01/10/2017] [Indexed: 11/25/2022] Open
Abstract
Background FTO gene variants have been associated with obesity phenotypes in sedentary and obese populations, but rarely with skeletal muscle and elite athlete phenotypes. Methods In 1089 participants, comprising 530 elite rugby athletes and 559 non-athletes, DNA was collected and genotyped for the FTO rs9939609 variant using real-time PCR. In a subgroup of non-resistance trained individuals (NT; n = 120), we also assessed structural and functional skeletal muscle phenotypes using dual energy x-ray absorptiometry, ultrasound and isokinetic dynamometry. In a subgroup of rugby athletes (n = 77), we assessed muscle power during a countermovement jump. Results In NT, TT genotype and T allele carriers had greater total body (4.8% and 4.1%) and total appendicular lean mass (LM; 3.0% and 2.1%) compared to AA genotype, with greater arm LM (0.8%) in T allele carriers and leg LM (2.1%) for TT, compared to AA genotype. Furthermore, the T allele was more common (94%) in selected elite rugby union athletes (back three and centre players) who are most reliant on LM rather than total body mass for success, compared to other rugby athletes (82%; P = 0.01, OR = 3.34) and controls (84%; P = 0.03, OR = 2.88). Accordingly, these athletes had greater peak power relative to body mass than other rugby athletes (14%; P = 2 x 10-6). Conclusion Collectively, these results suggest that the T allele is associated with increased LM and elite athletic success. This has implications for athletic populations, as well as conditions characterised by low LM such as sarcopenia and cachexia.
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Affiliation(s)
- S M Heffernan
- MMU Sports Genomics Laboratory, Manchester Metropolitan University, Crewe Green Road, Crewe, CW1 5DU, UK.
| | - G K Stebbings
- MMU Sports Genomics Laboratory, Manchester Metropolitan University, Crewe Green Road, Crewe, CW1 5DU, UK
| | - L P Kilduff
- A-STEM, College of Engineering, Swansea University, Swansea, UK
| | - R M Erskine
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, UK.,Institute of Sport, Exercise and Health, University College London, London, UK
| | - S H Day
- MMU Sports Genomics Laboratory, Manchester Metropolitan University, Crewe Green Road, Crewe, CW1 5DU, UK
| | - C I Morse
- MMU Sports Genomics Laboratory, Manchester Metropolitan University, Crewe Green Road, Crewe, CW1 5DU, UK
| | - J S McPhee
- School of Healthcare Science, Manchester Metropolitan University, Manchester, UK
| | - C J Cook
- A-STEM, College of Engineering, Swansea University, Swansea, UK.,School of Sport, Health and Exercise Sciences, Bangor University, Bangor, UK
| | - B Vance
- Institute of Cardiovascular & Medical Sciences University of Glasgow, Glasgow, UK
| | - W J Ribbans
- Centre for Physical Activity and Chronic Disease, Institute of Health and Wellbeing, University of Northampton, Northampton, UK
| | - S M Raleigh
- Centre for Physical Activity and Chronic Disease, Institute of Health and Wellbeing, University of Northampton, Northampton, UK
| | - C Roberts
- Medical and Scientific Department, South African Rugby Union, Cape Town, South Africa.,Discipline of Sports Science, Faculty of Health Sciences, University of Kwazulu-Natal, Durban, South Africa
| | - M A Bennett
- A-STEM, College of Engineering, Swansea University, Swansea, UK
| | - G Wang
- FIMS Reference Collaborating Centre of Sports Medicine for Anti-Doping Research, University of Brighton, Brighton, UK
| | - M Collins
- Division of Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town (UCT), Cape Town, South Africa
| | - Y P Pitsiladis
- FIMS Reference Collaborating Centre of Sports Medicine for Anti-Doping Research, University of Brighton, Brighton, UK
| | - A G Williams
- MMU Sports Genomics Laboratory, Manchester Metropolitan University, Crewe Green Road, Crewe, CW1 5DU, UK.,Institute of Sport, Exercise and Health, University College London, London, UK
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26
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Fat mass obesity-associated (FTO) (rs9939609) and melanocortin 4 receptor (MC4R) (rs17782313) SNP are positively associated with obesity and blood pressure in Mexican school-aged children. Br J Nutr 2016; 116:1834-1840. [PMID: 27829468 DOI: 10.1017/s0007114516003779] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Childhood overweight and obesity are worldwide public health problems and risk factors for chronic diseases. The presence of SNP in several genes has been associated with the presence of obesity. A total of 580 children (8-13 years old) from Queretaro, Mexico, participated in this cross-sectional study, which evaluated the associations of rs9939609 (fat mass obesity-associated (FTO)), rs17782313 (melanocortin 4 receptor (MC4R)) and rs6548238 (transmembrane protein 18 (TMEM18)) SNP with obesity and metabolic risk factors. Overweight and obesity prevalence was 19·8 and 19·1 %, respectively. FTO, MC4R and TMEM18 risk allele frequency was 17, 9·8 and 89·5 %, respectively. A significant association between FTO homozygous and MC4R heterozygous risk alleles and obesity was found (OR 3·9; 95 % CI 1·46, 10·22, and OR 2·1; 95 % CI 1·22, 3·71; respectively). The FTO heterozygous subjects showed higher systolic and diastolic blood pressures, compared with the homozygous for the ancestral allele subjects. These results remain significant after considering adiposity as a covariate. The FTO and MC4R genotypes were not significantly associated with total cholesterol, HDL-cholesterol and insulin concentration. No association was found between TMEM18 risk allele and obesity and/or metabolic alterations. Our results show that, in addition to a higher BMI, there is also an association of the risk genotype with blood pressure in the presence of the FTO risk genotype. The possible presence of a risk genotype in obese children must be considered to offer a more comprehensive therapeutic approach in order to delay and/or prevent the development of chronic diseases.
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27
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Lemche E, Chaban OS, Lemche AV. Neuroendocrinological and Epigenetic Mechanisms Subserving Autonomic Imbalance and HPA Dysfunction in the Metabolic Syndrome. Front Neurosci 2016; 10:142. [PMID: 27147943 PMCID: PMC4830841 DOI: 10.3389/fnins.2016.00142] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 03/21/2016] [Indexed: 12/18/2022] Open
Abstract
Impact of environmental stress upon pathophysiology of the metabolic syndrome (MetS) has been substantiated by epidemiological, psychophysiological, and endocrinological studies. This review discusses recent advances in the understanding of causative roles of nutritional factors, sympathomedullo-adrenal (SMA) and hypothalamic-pituitary adrenocortical (HPA) axes, and adipose tissue chronic low-grade inflammation processes in MetS. Disturbances in the neuroendocrine systems for leptin, melanocortin, and neuropeptide Y (NPY)/agouti-related protein systems have been found resulting directly in MetS-like conditions. The review identifies candidate risk genes from factors shown critical for the functioning of each of these neuroendocrine signaling cascades. In its meta-analytic part, recent studies in epigenetic modification (histone methylation, acetylation, phosphorylation, ubiquitination) and posttranscriptional gene regulation by microRNAs are evaluated. Several studies suggest modification mechanisms of early life stress (ELS) and diet-induced obesity (DIO) programming in the hypothalamic regions with populations of POMC-expressing neurons. Epigenetic modifications were found in cortisol (here HSD11B1 expression), melanocortin, leptin, NPY, and adiponectin genes. With respect to adiposity genes, epigenetic modifications were documented for fat mass gene cluster APOA1/C3/A4/A5, and the lipolysis gene LIPE. With regard to inflammatory, immune and subcellular metabolism, PPARG, NKBF1, TNFA, TCF7C2, and those genes expressing cytochrome P450 family enzymes involved in steroidogenesis and in hepatic lipoproteins were documented for epigenetic modifications.
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Affiliation(s)
- Erwin Lemche
- Section of Cognitive Neuropsychiatry, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London London, UK
| | - Oleg S Chaban
- Section of Psychosomatic Medicine, Bogomolets National Medical University Kiev, Ukraine
| | - Alexandra V Lemche
- Department of Medical Science, Institute of Clinical Research Berlin, Germany
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28
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Abstract
Obesity is a disorder that develops from the interaction between genotype and environment involving social, behavioral, cultural, and physiological factors. Obesity increases the risk for type 2 diabetes mellitus, hypertension, cardiovascular disease, cancer, musculoskeletal disorders, chronic kidney and pulmonary disease. Although obesity is clearly associated with an increased prevalence of hypertension, many obese individuals may not develop hypertension. Protecting factors may exist and it is important to understand why obesity is not always related to hypertension. The aim of this review is to highlight the knowledge gap for the association between obesity, hypertension, and potential genetic and racial differences or environmental factors that may protect obese patients against the development of hypertension and other co-morbidities. Specific mutations in the leptin and the melaninocortin receptor genes in animal models of obesity without hypertension, the actions of α-melanocyte stimulating hormone, and SNS activity in obesity-related hypertension may promote recognition of protective and promoting factors for hypertension in obesity. Furthermore, gene-environment interactions may have the potential to modify gene expression and epigenetic mechanisms could also contribute to the heritability of obesity-induced hypertension. Finally, differences in nutrition, gut microbiota, exposure to sun light and exercise may play an important role in the presence or absence of hypertension in obesity.
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29
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Prakash J, Mittal B, Srivastava A, Awasthi S, Srivastava N. Association of FTO rs9939609 SNP with Obesity and Obesity- Associated Phenotypes in a North Indian Population. Oman Med J 2016; 31:99-106. [PMID: 27168919 PMCID: PMC4861386 DOI: 10.5001/omj.2016.20] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 10/26/2015] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES Obesity is a common disorder that has a significant impact on morbidity and mortality. Twin and adoption studies support the genetic influence on variation of obesity, and the estimates of the heritability of body mass index (BMI) is significantly high (30 to 70%). Variants in the fat mass and obesity-associated (FTO) gene have been associated with obesity and obesity-related phenotypes in different populations. The aim of this study was to examine the association of FTO rs9939609 with obesity and related phenotypes in North Indian subjects. . METHODS Gene variants were investigated for association with obesity in 309 obese and 333 non-obese patients. Genotyping of the FTO rs9939609 single nucleotide polymorphism (SNP) was analyzed using Restriction Fragment Length Polymorphism Analysis of PCR-Amplified Fragments. We also measured participants fasting glucose and insulin levels, lipid profile, percentage body fat, fat mass and fat free mass. . RESULTS Waist to hip ratio, systolic blood pressure, diastolic blood pressure, percentage body fat, fat mass, insulin concentration, and homeostasis model assessment index (HOMA-Index) showed a significant difference between the study groups. Significant associations were found for FTO rs9939609 SNP with obesity and obesity-related phenotypes. The significant associations were observed between the rs9939609 SNP and blood pressure, fat mass, insulin, and HOMA-index under a different model. . CONCLUSION This study presents significant association between FTO rs9939609 and obesity defined by BMI and also established the strong association with several measures of obesity in North Indian population.
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Affiliation(s)
- Jai Prakash
- Department of Physiology, King George’s Medical University, Uttar Pradesh, India
- Department of Pediatrics, King George’s Medical University, Uttar Pradesh, India
| | - Balraj Mittal
- Department of Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Uttar Pradesh, India
| | - Apurva Srivastava
- Department of Physiology, King George’s Medical University, Uttar Pradesh, India
| | - Shally Awasthi
- Department of Pediatrics, King George’s Medical University, Uttar Pradesh, India
| | - Neena Srivastava
- Department of Physiology, King George’s Medical University, Uttar Pradesh, India
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30
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A patient with a novel homozygous missense mutation in FTO and concomitant nonsense mutation in CETP. J Hum Genet 2016; 61:395-403. [PMID: 26740239 PMCID: PMC4880488 DOI: 10.1038/jhg.2015.160] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2015] [Revised: 11/30/2015] [Accepted: 11/30/2015] [Indexed: 12/19/2022]
Abstract
The fat mass and obesity associated gene (FTO) has previously been associated with a variety of diseases and conditions, notably obesity, acute coronary syndrome and metabolic syndrome. Reports describing mutations in FTO as well as FTO animal models have further demonstrated a role for FTO in the development of the brain and other organs. Here, we describe a patient born of consanguineous union who presented with microcephaly, developmental delay, behavioral abnormalities, dysmorphic facial features, hypotonia, and other various phenotypic abnormalities. Whole exome sequencing revealed a novel homozygous missense mutation in FTO and a nonsense mutation in the cholesteryl ester transfer protein (CETP). Exome CNV analysis revealed no disease causing large duplications or deletions within coding regions. Patient’s, her parents’ and non-related control’ fibroblasts were analyzed for morphologic defects, abnormal proliferation, apoptosis and transcriptome profile. We have shown that FTO is located in nucleus of cells from each tested samples. Western blot analysis demonstrated no changes in patient FTO. Q-PCR analysis revealed slightly decreased levels of FTO expression in patient cells compared to controls. No morphological or proliferation differences between the patient and control fibroblasts were observed. There is still much to be learned about the molecular mechanisms by which mutations in FTO contribute to such severe phenotypes.
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31
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Abstract
There is growing concern about elevated blood pressure (BP) in children. The evidence for familial aggregation of childhood BP is substantial. Twin studies have shown that a large part of the familial aggregation of childhood BP is due to genes. The first part of this review provides the latest progress in gene finding for childhood BP, focusing on the combined effects of multiple loci identified from the genome-wide association studies on adult BP. We further review the evidence on the contribution of the genetic components of other family risk factors to the familial aggregation of childhood BP including obesity, birth weight, sleep quality, sodium intake, parental smoking, and socioeconomic status. At the end, we emphasize the promise of using genomic-relatedness-matrix restricted maximum likelihood (GREML) analysis, a method that uses genome-wide data from unrelated individuals, in answering a number of unsolved questions in the familial aggregation of childhood BP.
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Affiliation(s)
- Xiaoling Wang
- Georgia Prevention Center, Medical College of Georgia, Georgia Regents University, HS-1640, Augusta, GA, 30912, USA,
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