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Carrasquilla GD, García-Ureña M, Romero-Lado MJ, Kilpeläinen TO. Estimating causality between smoking and abdominal obesity by Mendelian randomization. Addiction 2024; 119:1024-1034. [PMID: 38509034 DOI: 10.1111/add.16454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 01/12/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND AND AIMS Smokers tend to have a lower body weight than non-smokers, but also more abdominal fat. It remains unclear whether or not the relationship between smoking and abdominal obesity is causal. Previous Mendelian randomization (MR) studies have investigated this relationship by relying upon a single genetic variant for smoking heaviness. This approach is sensitive to pleiotropic effects and may produce imprecise causal estimates. We aimed to estimate causality between smoking and abdominal obesity using multiple genetic instruments. DESIGN MR study using causal analysis using summary effect estimates (CAUSE) and latent heritable confounder MR (LHC-MR) methods that instrument smoking using genome-wide data, and also two-sample MR (2SMR) methods. SETTING Genome-wide association studies (GWAS) summary statistics from participants of European ancestry, obtained from the GWAS and Sequencing Consortium of Alcohol and Nicotine use (GSCAN), Genetic Investigation of Anthropometric Traits (GIANT) Consortium and the UK Biobank. PARTICIPANTS We used GWAS results for smoking initiation (n = 1 232 091), life-time smoking (n = 462 690) and smoking heaviness (n = 337 334) as exposure traits, and waist-hip ratio (WHR) and waist and hip circumferences (WC and HC) (n up to 697 734), with and without adjustment for body mass index (adjBMI), as outcome traits. MEASUREMENTS Smoking initiation, life-time smoking, smoking heaviness, WHR, WC, HC, WHRadjBMI, WCadjBMI and HCadjBMI. FINDINGS Both CAUSE and LHC-MR indicated a positive causal effect of smoking initiation on WHR (0.13 [95% confidence interval (CI) = 0.10, 0.16 and 0.49 (0.41, 0.57), respectively] and WHRadjBMI (0.07 (0.03, 0.10) and 0.31 (0.26, 0.37). Similarly, they indicated a positive causal effect of life-time smoking on WHR [0.35 (0.29, 0.41) and 0.44 (0.38, 0.51)] and WHRadjBMI [0.18 (0.13, 0.24) and 0.26 (0.20, 0.31)]. In follow-up analyses, smoking particularly increased visceral fat. There was no evidence of a mediating role by cortisol or sex hormones. CONCLUSIONS Smoking initiation and higher life-time smoking may lead to increased abdominal fat distribution. The increase in abdominal fat due to smoking is characterized by an increase in visceral fat. Thus, efforts to prevent and cease smoking can have the added benefit of reducing abdominal fat.
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Affiliation(s)
- Germán D Carrasquilla
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mario García-Ureña
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - María J Romero-Lado
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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Zhang M, Bai Y, Wang Y, Cui H, Zhang W, Zhang L, Yan P, Tang M, Liu Y, Jiang X, Zhang B. Independent association of general and central adiposity with risk of gallstone disease: observational and genetic analyses. Front Endocrinol (Lausanne) 2024; 15:1367229. [PMID: 38529389 PMCID: PMC10961427 DOI: 10.3389/fendo.2024.1367229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 02/26/2024] [Indexed: 03/27/2024] Open
Abstract
Background General obesity is a well-established risk factor for gallstone disease (GSD), but whether central obesity contributes additional independent risk remains controversial. We aimed to comprehensively clarify the effect of body fat distribution on GSD. Methods We first investigated the observational association of central adiposity, characterized by waist-to-hip ratio (WHR), with GSD risk using data from UK Biobank (N=472,050). We then explored the genetic relationship using summary statistics from the largest genome-wide association study of GSD (ncase=43,639, ncontrol=506,798) as well as WHR, with and without adjusting for body mass index (BMI) (WHR: n=697,734; WHRadjBMI: n=694,649). Results Observational analysis demonstrated an increased risk of GSD with one unit increase in WHR (HR=1.18, 95%CI=1.14-1.21). A positive WHR-GSD genetic correlation (r g =0.41, P=1.42×10-52) was observed, driven by yet independent of BMI (WHRadjBMI: r g =0.19, P=6.89×10-16). Cross-trait meta-analysis identified four novel pleiotropic loci underlying WHR and GSD with biological mechanisms outside of BMI. Mendelian randomization confirmed a robust WHR-GSD causal relationship (OR=1.50, 95%CI=1.35-1.65) which attenuated yet remained significant after adjusting for BMI (OR=1.17, 95%CI=1.09-1.26). Furthermore, observational analysis confirmed a positive association between general obesity and GSD, corroborated by a shared genetic basis (r g =0.40, P=2.16×10-43), multiple novel pleiotropic loci (N=11) and a causal relationship (OR=1.67, 95%CI=1.56-1.78). Conclusion Both observational and genetic analyses consistently provide evidence on an association of central obesity with an increased risk of GSD, independent of general obesity. Our work highlights the need of considering both general and central obesity in the clinical management of GSD.
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Affiliation(s)
- Min Zhang
- Clinical and Public Health Research Center, Chongqing Research Center for Prevention & Control of Maternal and Child Diseases and Public Health, Chongqing Health Center for Women and Children, Women and Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Ye Bai
- Gene Diagnosis Center, the First Affiliated Hospital of Jilin University, Jilin, China
| | - Yutong Wang
- Department of Epidemiology and Health Statistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huijie Cui
- Department of Epidemiology and Health Statistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wenqiang Zhang
- Department of Epidemiology and Health Statistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Zhang
- Department of Epidemiology and Health Statistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Peijing Yan
- Department of Epidemiology and Health Statistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Mingshuang Tang
- Department of Epidemiology and Health Statistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yunjie Liu
- Department of Epidemiology and Health Statistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xia Jiang
- Department of Epidemiology and Health Statistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ben Zhang
- Department of Epidemiology and Health Statistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
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Wan X, Ao Y, Liu X, Zhuang P, Huang Y, Shi H, Jiao J, Zhang Y. Fried food consumption, genetic risk, and incident obesity: a prospective study. Food Funct 2024; 15:2760-2771. [PMID: 38385219 DOI: 10.1039/d3fo02803h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Background and aims: Genetic and dietary factors contribute to adiposity risk, but little evidence supports genetic personalization of fried food intake recommendations for the management of obesity. This study aimed to assess the associations between fried food consumption and adiposity incidence and whether the associations were modified by an individual's genotype. Methods: We included 27 427 participants who had dietary data assessed by a validated 24 h dietary recall and available anthropometric information from the UK Biobank study. The genetic risk score (GRS) was calculated using 940 BMI associated variants. Results: With an average of 8.1 years of follow-up, 1472 and 2893 participants were defined as having overall obesity and abdominal obesity, respectively. Individuals in the highest categories of fried food consumption were positively associated with the risk of obesity (HR = 1.31; 95% CI 1.10-1.56) and abdominal obesity (HR = 1.27; 95% CI 1.12-1.45) compared with the lowest categories. Moreover, fried food consumption had a significant interatction with obesity GRS for abdominal obesity risk (P interaction = 0.016). Fried food intake was associated with a higher abdominal obesity risk (HR = 1.59, 95% CI: 1.25-2.00) among participants with a lower genetic risk. Conclusions: Our findings indicated that fried food consumption had a higher abdominal obesity risk among individuals with a lower genetic risk, suggesting the restriction of fried food intake for this group of people.
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Affiliation(s)
- Xuzhi Wan
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Yang Ao
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiaohui Liu
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Pan Zhuang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Yingyu Huang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Hongbo Shi
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Jingjing Jiao
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yu Zhang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.
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Tian W, Cao S, Zhang W, Quan C, Zhang M, Huang Y. Interaction between XRCC2 gene polymorphism and abdominal obesity on risk of endometrial carcinoma. Gynecol Endocrinol 2024; 40:2317270. [PMID: 38518807 DOI: 10.1080/09513590.2024.2317270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/24/2024] Open
Abstract
AIMS The aim of this study was to investigate the impact of three single nucleotide polymorphisms (SNPs) within X-Ray Repair Cross Complementary Group 2 (XRCC2) gene and additional gene- abdominal obesity (AO) interaction with endometrial carcinoma (EC) risk. METHODS Hardy-Weinberg equilibrium was tested for all participants by using SNPstats (online software: http://bioinfo.iconcologia.net/SNPstats). The best SNP-SNP and gene-AO interaction combination among three SNPs within XRCC2 gene and AO was screened using generalized multifactor dimensionality reduction (GMDR). RESULTS We employed the logistic regression analysis showed that rs718282-T allele is associated with increased EC risk, adjusted ORs (95%CI) were 1.67 (1.23-2.04). However, we did not find statistical association between rs3218536, and rs3218384 and EC susceptibility. GMDR analysis was used for SNP-SNP- and gene-abdominal obesity analysis. The cross-validation consistency and the testing accuracy for the interaction were calculated. The two-locus model between rs718282 and AO had a testing accuracy of 60.11%, which was significant at the p < .001 level, and this two- locus model was considered as the best model. It provided statistical evidence for rs718282 gene-AO interaction effects. The results indicated that AO influenced the EC risk depending on the rs718282 genotypes. Compared with non- AO subjects with rs718282-CC genotype, AO subjects with rs718282-CT or TT genotype had the highest EC risk, OR (95%CI) was 2.83 (1.67 - 4.02), after covariates adjustment. CONCLUSIONS Both the rs718282- T allele, and its interaction with AO were associated with increased EC risk.
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Affiliation(s)
- Wenjuan Tian
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Siyu Cao
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Wei Zhang
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Chenlian Quan
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Meiqin Zhang
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yan Huang
- Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
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Barre DE, Mizier-Barre KA, Griscti O, Hafez K. Relationships of apolipoprotein E genotypes with a cluster of seven in persons with type 2 diabetes. Endocr Regul 2024; 58:40-46. [PMID: 38563295 DOI: 10.2478/enr-2024-0005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Abstract
OBJECTIVE. The objective of the study was to determine if there would be statistically significant differences or trends among apolipoprotein E genotypes (2/2, 2/3, 2/4, 3/3, 3/4, and 4/4) for each member of the cluster of seven associated with type 2 diabetes (T2D). The cluster of seven includes abdominal obesity, hypertension, platelet hyperaggregability, hyperglycemia, dyslipidemia (decreased plasma levels of high-density lipoprotein cholesterol (HDL-C) and increased plasma levels of triglycerides)), increased low-density lipoprotein (LDL) oxidation, and increased inflammation. METHODS. Forty-six patients with well-controlled T2D participated in the study. Abdominal obesity (assessed by waist circumference), hypertension (measured by manual sphygmomanometry), platelet hyperaggregability (measured by bleeding time), hyperglycemia (by enzymatic kit and spectrophotometry), decreased plasma levels of HDL-C and increased plasma levels of triglycerides (by enzymatic kit and spectrophotometry), increased LDL oxidation (measured by LDL conjugated dienes using spectrophotometry) and increased inflammation measured by C-reactive protein (CRP) (by EIA kit) were determined. RESULTS. All genotypes, except 2/2 were found in the population studied. Abdominal obesity did not vary significantly across the five genotypes. However, glucose levels trended progressively higher going from 2/3 to 2/4 to 3/4 to 4/4. Systolic blood pressure was higher in 3/4 compared to 2/4 and trended higher in 3/4 compared to 3/3. Diastolic blood pressure trended higher in 3/3 vs 2/4 and significantly higher in 3/4 compared to 2/4. Triglycerides trended higher in 3/4 vs 3/3 while HDL-C came close to trending downward in 4/4 compared to 2/4. Bleeding time was unaffected by genotype. Plasma LDL conjugated dienes trended higher in 3/4 vs 2/4 and were significantly higher in 3/4 vs 3/3. CRP trended higher in 4/4 vs 2/3. CONCLUSION. We can conclude that those with at least one 4 allele in the presence of another allele being 2, 3 or 4 is potentially (in the case of trends) deleterious or is deleterious in terms of hyperglycemia, hypertension (systolic and diastolic blood pressure), dyslipidemia, LDL conjugated dienes and CRP levels.
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Affiliation(s)
- Douglas E Barre
- Department of Health Sciences, Cape Breton University, Sydney, Nova Scotia, Canada
| | | | - Odette Griscti
- School of Nursing, Cape Breton University, Sydney, Nova Scotia, Canada
| | - Kevin Hafez
- Health Sector, Royal Commission for Riyadh City, Riyadh, Kingdom of Saudi Arabia
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Lovegrove CE, Bešević J, Wiberg A, Lacey B, Littlejohns TJ, Allen NE, Goldsworthy M, Kim J, Hannan FM, Curhan GC, Turney BW, McCarthy MI, Mahajan A, Thakker RV, Holmes MV, Furniss D, Howles SA. Central Adiposity Increases Risk of Kidney Stone Disease through Effects on Serum Calcium Concentrations. J Am Soc Nephrol 2023; 34:1991-2011. [PMID: 37787550 PMCID: PMC10703081 DOI: 10.1681/asn.0000000000000238] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/25/2023] [Accepted: 09/14/2023] [Indexed: 10/04/2023] Open
Abstract
SIGNIFICANCE STATEMENT Kidney stone disease is a common disorder with poorly understood pathophysiology. Observational and genetic studies indicate that adiposity is associated with an increased risk of kidney stone disease. However, the relative contribution of general and central adipose depots and the mechanisms by which effects of adiposity on kidney stone disease are mediated have not been defined. Using conventional and genetic epidemiological techniques, we demonstrate that general and central adiposity are independently associated with kidney stone disease. In addition, one mechanism by which central adiposity increases risk of kidney stone disease is by increasing serum calcium concentration. Therapies targeting adipose depots may affect calcium homeostasis and help to prevent kidney stone disease. BACKGROUND Kidney stone disease affects approximately 10% of individuals in their lifetime and is frequently recurrent. The disease is linked to obesity, but the mechanisms mediating this association are uncertain. METHODS Associations of adiposity and incident kidney stone disease were assessed in the UK Biobank over a mean of 11.6 years/person. Genome-wide association studies and Mendelian randomization (MR) analyses were undertaken in the UK Biobank, FinnGen, and in meta-analyzed cohorts to identify factors that affect kidney stone disease risk. RESULTS Observational analyses on UK Biobank data demonstrated that increasing central and general adiposity is independently associated with incident kidney stone formation. Multivariable MR, using meta-analyzed UK Biobank and FinnGen data, established that risk of kidney stone disease increases by approximately 21% per one standard deviation increase in body mass index (BMI, a marker of general adiposity) independent of waist-to-hip ratio (WHR, a marker of central adiposity) and approximately 24% per one standard deviation increase of WHR independent of BMI. Genetic analyses indicate that higher WHR, but not higher BMI, increases risk of kidney stone disease by elevating adjusted serum calcium concentrations (β=0.12 mmol/L); WHR mediates 12%-15% of its effect on kidney stone risk in this way. CONCLUSIONS Our study indicates that visceral adipose depots elevate serum calcium concentrations, resulting in increased risk of kidney stone disease. These findings highlight the importance of weight loss in individuals with recurrent kidney stones and suggest that therapies targeting adipose depots may affect calcium homeostasis and contribute to prevention of kidney stone disease.
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Affiliation(s)
| | - Jelena Bešević
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Akira Wiberg
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Ben Lacey
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Thomas J. Littlejohns
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Naomi E. Allen
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Michelle Goldsworthy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Jihye Kim
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Fadil M. Hannan
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Gary C. Curhan
- Channing Division of Network Medicine and Renal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ben W. Turney
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Mark I. McCarthy
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Genentech, South San Francisco, Califirnia
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Genentech, South San Francisco, Califirnia
| | - Rajesh V. Thakker
- Academic Endocrine Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Michael V. Holmes
- Medical Research Council, Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Dominic Furniss
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
| | - Sarah A. Howles
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
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Wang M, Au Yeung SL, Luo S, Jang H, Ho HS, Sharp SJ, Wijndaele K, Brage S, Wareham NJ, Kim Y. Adherence to a healthy lifestyle, genetic susceptibility to abdominal obesity, cardiometabolic risk markers, and risk of coronary heart disease. Am J Clin Nutr 2023; 118:911-920. [PMID: 37923500 DOI: 10.1016/j.ajcnut.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 06/20/2023] [Accepted: 08/01/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND Little is known about whether the association between genetic susceptibility to high waist-to-hip ratio (WHR), a measure of abdominal obesity, and incident coronary heart disease (CHD) is modified by adherence to a healthy lifestyle. OBJECTIVES To explore the interplay of genetic susceptibility to high WHR and adherence to a healthy lifestyle on incident CHD. METHODS This study included 282,316 white British individuals from the UK Biobank study. Genetic risk for high WHR was estimated in the form of weighted polygenic risk scores (PRSs), calculated based on 156 single-nucleotide polymorphisms. Lifestyle scores were calculated based on 5 healthy lifestyle factors: regular physical activity, no current smoking, a healthy diet, <3 times/wk of alcohol consumption and 7-9 h/d of sleep. Incident CHD (n = 11,635) was accrued over a median 13.8 y of follow-up, and 12 individual cardiovascular disease risk markers assessed at baseline. RESULTS Adhering to a favorable lifestyle (4-5 healthy factors) was associated with a 25% (hazard ratio: 0.75, 95% confidence interval: 0.70, 0.81) lower hazard of CHD compared with an unfavorable lifestyle (0-1 factor), independent of PRS for high WHR. Estimated 12-y absolute risk of CHD was lower for a favorable lifestyle at high genetic risk (1.73%) and medium genetic risk (1.67%) than for an unfavorable lifestyle at low genetic risk (2.08%). Adhering to a favorable lifestyle was associated with healthier levels of cardiovascular disease risk markers (except random glucose and high-density lipoprotein), independent of PRS for high WHR. CONCLUSIONS Individuals who have high or medium genetic risk of abdominal obesity but adhere to a healthy lifestyle may have a lower risk of developing CHD, compared with those who have low genetic risk and an unhealthy lifestyle. Future clinical trials of lifestyle modification could be implemented for individuals at high genetic risk of abdominal obesity for the primary prevention of CHD events.
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Affiliation(s)
- Mengyao Wang
- School of Public Health, The University of Hong Kong Li Ka Shing Faculty of Medicine, Hong Kong SAR, China
| | - Shiu Lun Au Yeung
- School of Public Health, The University of Hong Kong Li Ka Shing Faculty of Medicine, Hong Kong SAR, China
| | - Shan Luo
- School of Public Health, The University of Hong Kong Li Ka Shing Faculty of Medicine, Hong Kong SAR, China
| | - Haeyoon Jang
- School of Public Health, The University of Hong Kong Li Ka Shing Faculty of Medicine, Hong Kong SAR, China
| | - Hin Sheung Ho
- School of Public Health, The University of Hong Kong Li Ka Shing Faculty of Medicine, Hong Kong SAR, China
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, Cambridgeshire, United Kingdom
| | - Katrien Wijndaele
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, Cambridgeshire, United Kingdom
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, Cambridgeshire, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, Cambridgeshire, United Kingdom
| | - Youngwon Kim
- School of Public Health, The University of Hong Kong Li Ka Shing Faculty of Medicine, Hong Kong SAR, China; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, Cambridgeshire, United Kingdom.
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Chang G, Li Y, Jiang Y, Wang C, Liu X. Mediation effect of JAK2 methylation on the association between sitting time and abdominal obesity in rural adults. Eur J Clin Nutr 2023; 77:1093-1099. [PMID: 37582927 DOI: 10.1038/s41430-023-01316-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 07/14/2023] [Accepted: 07/19/2023] [Indexed: 08/17/2023]
Abstract
BACKGROUND Sitting time may affect health by altering the methylation of certain genes. This research aimed to estimate the association of sitting time with abdominal obesity and the role of Janus kinase 2 (JAK2) methylation in the association among rural adults. METHODS A total of 1062 rural adults from the Henan Rural Cohort Study were included. Whole blood was used to extract genomic DNA. JAK2 DNA methylation level was assessed by MethylTargetTM. The logistic regression model was utilized to assess the association of sitting time with abdominal obesity, and the possible effect of JAK2 DNA methylation on the association were conducted by using mediation analyses. RESULTS Average time of sitting of participants was 7.28 ± 3.37 h/d. For per 1 h increment in sitting time, the odd ratio (OR) and 95% confidence interval (CI) of abdominal obesity was 1.153 (1.095, 1.214) after controlling potential risk factors. Simultaneously, the methylation levels of Chr9: 4985407 site and Chr9: 4985238-4985455 region were negatively correlated with abdominal obesity (OR: 0.549, 95% CI: 0.394, 0.765; OR: 0.189, 95% CI: 0.056, 0.640, respectively). Moreover, Chr9: 4985407 site and Chr9: 4985238-4985455 region methylation levels mediated the association of sitting time with abdominal obesity, and the indirect effects account for 6.78% and 4.24%, respectively. CONCLUSIONS Longer sitting time was positively correlated with abdominal obesity in the rural population, and methylation level of JAK2 may be an underlying mediation of the effect.
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Affiliation(s)
- Gaohua Chang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Yujie Jiang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.
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Christiansen MR, Kilpeläinen TO, McCaffery JM. Abdominal Obesity Genetic Variants Predict Waist Circumference Regain After Weight Loss. Diabetes 2023; 72:1424-1432. [PMID: 37494631 DOI: 10.2337/db23-0131] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 07/23/2023] [Indexed: 07/28/2023]
Abstract
Although many individuals are able to achieve weight loss, maintaining this loss over time is challenging. We aimed to study whether genetic predisposition to general or abdominal obesity predicts weight regain after weight loss. We examined the associations between genetic risk scores for higher BMI and higher waist-to-hip ratio adjusted for BMI (WHRadjBMI) with changes in weight and waist circumference up to 3 years after a 1-year weight loss program in participants (n = 822 women, n = 593 men) from the Look AHEAD (Action for Health in Diabetes) study who had lost ≥3% of their initial weight. Genetic predisposition to higher BMI or WHRadjBMI was not associated with weight regain after weight loss. However, the WHRadjBMI genetic score did predict an increase in waist circumference independent of weight change. To conclude, a genetic predisposition to higher WHRadjBMI predicts an increase in abdominal obesity after weight loss, whereas genetic predisposition to higher BMI is not predictive of weight regain. These results suggest that genetic effects on abdominal obesity may be more pronounced than those on general obesity during weight regain. ARTICLE HIGHLIGHTS Nearly all individuals who intentionally lose weight experience weight regain. Individuals with a higher genetic risk for abdominal adiposity experience increased regain in waist circumference after weight loss. Genetic predisposition to higher BMI does not predict weight regain after weight loss.
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Affiliation(s)
- Malene Revsbech Christiansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Jeanne M McCaffery
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT
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Lv Y, Xia F, Yu J, Sheng Y, Jin Y, Li Y, Ding G. Distinct response of adipocyte progenitors to glucocorticoids determines visceral obesity via the TEAD1-miR-27b-PRDM16 axis. Obesity (Silver Spring) 2023; 31:2335-2348. [PMID: 37574723 DOI: 10.1002/oby.23839] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 05/23/2023] [Accepted: 05/25/2023] [Indexed: 08/15/2023]
Abstract
OBJECTIVE Visceral obesity contributes to obesity-related complications; however, the intrinsic mechanism of depot-specific adipose tissue behavior remains unclear. Despite the pro-adipogenesis role of glucocorticoids (GCs) in adipogenesis, the role of GCs in visceral adiposity rather than in subcutaneous adipose tissue is not established. Because adipocyte progenitors display a striking depot-specific pattern, the regulatory pathways of novel progenitor subtypes within different depots remain unclear. This study describes a cell-specific mechanism underlying visceral adiposity. METHODS A diverse panel of novel depot-specific adipose progenitors was screened in mice and human samples. The transcriptome distinction and various responses of novel progenitor subtypes of GCs were further measured using the GC receptor-chromatin immunoprecipitation assay and RNA sequencing. The mechanism of novel subtypes was identified using transposase-accessible chromatin analysis and bisulfite sequencing and further confirmed using precise editing of CpG methylation. RESULTS Platelet-derived growth factor receptor α (PDGFRα+ ) progenitors, which were dominant in the visceral adipose tissue, were GC-sensitive beige adipose progenitors, whereas CD137+ progenitors, which were dominant in the subcutaneous adipose tissue, were GC-passive beige adipose progenitors. Expression of miR-27b, an inhibitor of adipocyte browning, was significantly increased in PDGFRα+ progenitors treated with GCs. Using transposase-accessible chromatin analysis, bisulfite sequencing, and precise editing of CpG methylation, TEA domain transcription factor 1 (TEAD1) was discovered to be uniquely hypomethylated in PDGFRα+ progenitors. CONCLUSIONS GCs inhibited the PDGFRα+ progenitors' browning process via miR-27b, which was transcriptionally activated by the collaboration of TEAD1 with the GC receptor. These data provide insights into the mechanism of depot-specific variations in high-fat diet-induced obesity.
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Affiliation(s)
- Yifan Lv
- Division of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Fan Xia
- Division of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jing Yu
- Division of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yunlu Sheng
- Division of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yi Jin
- Division of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yanqiang Li
- Department of Environmental Health & Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Guoxian Ding
- Division of Geriatric Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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11
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Aberra YT, Ma L, Björkegren JLM, Civelek M. Predicting mechanisms of action at genetic loci associated with discordant effects on type 2 diabetes and abdominal fat accumulation. eLife 2023; 12:e79834. [PMID: 37326626 PMCID: PMC10275637 DOI: 10.7554/elife.79834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 05/31/2023] [Indexed: 06/17/2023] Open
Abstract
Obesity is a major risk factor for cardiovascular disease, stroke, and type 2 diabetes (T2D). Excessive accumulation of fat in the abdomen further increases T2D risk. Abdominal obesity is measured by calculating the ratio of waist-to-hip circumference adjusted for the body-mass index (WHRadjBMI), a trait with a significant genetic inheritance. Genetic loci associated with WHRadjBMI identified in genome-wide association studies are predicted to act through adipose tissues, but many of the exact molecular mechanisms underlying fat distribution and its consequences for T2D risk are poorly understood. Further, mechanisms that uncouple the genetic inheritance of abdominal obesity from T2D risk have not yet been described. Here we utilize multi-omic data to predict mechanisms of action at loci associated with discordant effects on abdominal obesity and T2D risk. We find six genetic signals in five loci associated with protection from T2D but also with increased abdominal obesity. We predict the tissues of action at these discordant loci and the likely effector Genes (eGenes) at three discordant loci, from which we predict significant involvement of adipose biology. We then evaluate the relationship between adipose gene expression of eGenes with adipogenesis, obesity, and diabetic physiological phenotypes. By integrating these analyses with prior literature, we propose models that resolve the discordant associations at two of the five loci. While experimental validation is required to validate predictions, these hypotheses provide potential mechanisms underlying T2D risk stratification within abdominal obesity.
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Affiliation(s)
- Yonathan Tamrat Aberra
- Department of Biomedical Engineering, University of VirginiaCharlottesvilleUnited States
- Center for Public Health Genomics, University of VirginiaCharlottesvilleUnited States
| | - Lijiang Ma
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Johan LM Björkegren
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Medicine, Karolinska Institutet, HuddingeStockholmSweden
| | - Mete Civelek
- Department of Biomedical Engineering, University of VirginiaCharlottesvilleUnited States
- Center for Public Health Genomics, University of VirginiaCharlottesvilleUnited States
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12
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Hao Y, Xiao J, Liang Y, Wu X, Zhang H, Xiao C, Zhang L, Burgess S, Wang N, Zhao X, Kraft P, Li J, Jiang X. Reassessing the causal role of obesity in breast cancer susceptibility: a comprehensive multivariable Mendelian randomization investigating the distribution and timing of exposure. Int J Epidemiol 2023; 52:58-70. [PMID: 35848946 PMCID: PMC7614158 DOI: 10.1093/ije/dyac143] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 06/20/2022] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Previous Mendelian randomization (MR) studies on obesity and risk of breast cancer adopted a small number of instrumental variables and focused mainly on the crude total effect. We aim to investigate the independent causal effect of obesity on breast cancer susceptibility, considering the distribution of fat, covering both early and late life. METHODS Using an enlarged set of female-specific genetic variants associated with adult general [body mass index (BMI)] and abdominal obesity [waist-to-hip ratio (WHR) with and without adjustment for BMI, WHR and WHRadjBMI] as well as using sex-combined genetic variants of childhood obesity (childhood BMI), we performed a two-sample univariable MR to re-evaluate the total effect of each obesity-related exposure on overall breast cancer (Ncase = 133 384, Ncontrol = 113 789). We further looked into its oestrogen receptor (ER)-defined subtypes (NER+ = 69 501, NER- = 21 468, Ncontrol = 105 974). Multivariable MR was applied to estimate the independent causal effect of each obesity-related exposure on breast cancer taking into account confounders as well as to investigate the independent effect of adult and childhood obesity considering their inter-correlation. RESULTS In univariable MR, the protective effects of both adult BMI [odds ratio (OR) = 0.89, 95% CI = 0.83-0.96, P = 2.06 × 10-3] and childhood BMI (OR = 0.78, 95% CI = 0.70-0.87, P = 4.58 × 10-6) were observed for breast cancer overall. Comparable effects were found in ER+ and ER- subtypes. Similarly, genetically predicted adult WHR was also associated with a decreased risk of breast cancer overall (OR = 0.87, 95% CI = 0.80-0.96, P = 3.77 × 10-3), restricting to ER+ subtype (OR = 0.88, 95% CI = 0.80-0.98, P = 1.84 × 10-2). Conditional on childhood BMI, the effect of adult general obesity on breast cancer overall attenuated to null (BMI: OR = 1.00, 95% CI = 0.90-1.10, P = 0.96), whereas the effect of adult abdominal obesity attenuated to some extent (WHR: OR = 0.90, 95% CI = 0.82-0.98, P = 1.49 × 10-2; WHRadjBMI: OR = 0.92, 95% CI = 0.86-0.99, P = 1.98 × 10-2). On the contrary, an independent protective effect of childhood BMI was observed in breast cancer overall, irrespective of adult measures (adjusted for adult BMI: OR = 0.84, 95% CI = 0.77-0.93, P = 3.93 × 10-4; adjusted for adult WHR: OR = 0.84, 95% CI = 0.76-0.91, P = 6.57 × 10-5; adjusted for adult WHRadjBMI: OR = 0.80, 95% CI = 0.74-0.87, P = 1.24 × 10-7). CONCLUSION Although successfully replicating the inverse causal relationship between adult obesity-related exposures and risk of breast cancer, our study demonstrated such effects to be largely (adult BMI) or partly (adult WHR or WHRadjBMI) attributed to childhood obesity. Our findings highlighted an independent role of childhood obesity in affecting the risk of breast cancer as well as the importance of taking into account the complex interplay underlying correlated exposures.
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Affiliation(s)
- Yu Hao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jinyu Xiao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yu Liang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xueyao Wu
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Haoyu Zhang
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Chenghan Xiao
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Zhang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Stephen Burgess
- MRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Nan Wang
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xunying Zhao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jiayuan Li
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xia Jiang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
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Perez-Robles M, Campos-Perez W, Torres-Vanegas J, Rodriguez-Reyes SC, Rivera-Valdés JJ, Martínez-Lopez E. Abdominal Obesity, Excessive Adiposity, and the Taq1B CETP Variant Are Positively Associated with Serum Lipid Levels in Mexican Women. Lifestyle Genom 2023; 16:83-89. [PMID: 36652934 DOI: 10.1159/000529053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 01/04/2023] [Indexed: 01/20/2023] Open
Abstract
INTRODUCTION Obesity is a prevalent multifactorial disease whose main complication is dyslipidemia. Serum lipid levels also depend on genetic factors including the Taq1B variant of the CETP gene, which is suggested to be influenced by environmental factors and adiposity. Therefore, this study aimed to determine the effect of the Taq1B CETP variant on serum lipid levels associated with anthropometrical variables. METHODS 165 women from western Mexico were enrolled in this cross-sectional study. Weight and body fat were measured by bioimpedance and waist circumference with a measuring tape. Serum lipid levels were determined by dry chemistry. The Taq1B CETP variant was analyzed by allelic discrimination. RESULTS Women with abdominal obesity and the B1B2/B2B2 genotype had significantly higher total cholesterol levels (195.17 [185.95-204.39] vs. 183 mg/dL [169.83-196.16], p = 0.007) and low density lipoprotein (118.84 [110.65-127.03] vs. 113.84 mg/dL [102.37-125.31], p = 0.037) than carriers of the B1B1 genotype. Likewise, subjects with excessive adiposity and the B1B2/B2B2 genotype showed significantly higher total cholesterol levels (195.05 [186.04-204.06] vs. 182.40 mg/dL [169.03-195.76], p = 0.003) than those with the B1B1 genotype. CONCLUSION Women with abdominal obesity or excessive adiposity, who are also carriers of the B1B2/B2B2 genotype, have higher serum lipid levels than women with the B1B1 genotype.
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Affiliation(s)
- Mariana Perez-Robles
- Departamento de Biología Molecular y Genómica, Instituto de Nutrigenética y Nutrigenómica Traslacional, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Departamento de Biología Molecular y Genómica, Doctorado en Ciencias en Biología Molecular en Medicina, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Wendy Campos-Perez
- Departamento de Biología Molecular y Genómica, Instituto de Nutrigenética y Nutrigenómica Traslacional, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Joel Torres-Vanegas
- Departamento de Biología Molecular y Genómica, Instituto de Nutrigenética y Nutrigenómica Traslacional, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Departamento de Reproducción Humana, Crecimiento y Desarrollo. Doctorado en Ciencias en Nutrición Traslacional, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Sarai Citlalic Rodriguez-Reyes
- Departamento de Biología Molecular y Genómica, Instituto de Nutrigenética y Nutrigenómica Traslacional, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Juan José Rivera-Valdés
- Departamento de Biología Molecular y Genómica, Instituto de Nutrigenética y Nutrigenómica Traslacional, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Erika Martínez-Lopez
- Departamento de Biología Molecular y Genómica, Instituto de Nutrigenética y Nutrigenómica Traslacional, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
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14
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Wu Y, Tian H, Wang W, Li W, Duan H, Zhang D. DNA methylation and waist-to-hip ratio: an epigenome-wide association study in Chinese monozygotic twins. J Endocrinol Invest 2022; 45:2365-2376. [PMID: 35882828 DOI: 10.1007/s40618-022-01878-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/19/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE Epigenetic signatures such as DNA methylation may be associated with specific obesity traits. We performed an epigenome-wide association study (EWAS) by combining with the waist-to-hip ratio (WHR)-discordant monozygotic (MZ) twin design in an attempt to identify genetically independent DNA methylation marks associated with abdominal obesity in Northern Han Chinese and to determine the causation underlying. METHODS A total of 60 WHR discordant MZ twin pairs were selected from the Qingdao Twin Registry, China. Generalized estimated equation (GEE) model was used to regress the methylation level of CpG sites on WHR. The Inference about Causation through Examination of FAmiliaL CONfounding (ICE FALCON) was used to assess the temporal relationship between methylation and WHR. Gene expression analysis was conducted to validate the results of differentially methylated analyses. RESULTS EWAS identified 92 CpG sites with the level of P < 10 - 4 which were annotated to 32 genes, especially CADPS2, TUSC5, ZCCHC14, CORO7, COL23A1, CACNA1C, CYP26B1, and BCAT1. ICE FALCON showed significant causality between DNA methylation of several genes and WHR (P < 0.05). In region-based analysis, 14 differentially methylated regions (DMRs) located at 15 genes (slk-corrected P < 0.05) were detected. The gene expression analysis identified the significant correlation between expression levels of 5 differentially methylated genes and WHR (P < 0.05). CONCLUSIONS Our study identifies the associations between specific epigenetic variations and WHR in Northern Han Chinese. These DNA methylation signatures may have value as diagnostic biomarkers and provide novel insights into the molecular mechanisms of pathogenesis.
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Affiliation(s)
- Y Wu
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, NO. 308 Ningxia Road, 266071, Qingdao, Shandong, China.
| | - H Tian
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, NO. 308 Ningxia Road, 266071, Qingdao, Shandong, China
| | - W Wang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, NO. 308 Ningxia Road, 266071, Qingdao, Shandong, China
| | - W Li
- Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
| | - H Duan
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China
| | - D Zhang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, NO. 308 Ningxia Road, 266071, Qingdao, Shandong, China
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15
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Li Y, Liu X, Tu R, Hou J, Zhuang G. Mendelian Randomization Analysis of the Association of SOCS3 Methylation with Abdominal Obesity. Nutrients 2022; 14:nu14183824. [PMID: 36145200 PMCID: PMC9503364 DOI: 10.3390/nu14183824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/06/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022] Open
Abstract
This study was conducted to evaluate the potential causality association of SOCS3 methylation with abdominal obesity using Mendelian randomization. A case-control study, including 1064 participants, was carried out on Chinese subjects aged 18 to 79. MethylTargetTM was used to detect the methylation level for each CpG site of SOCS3, and SNPscan® was applied to measure the single-nucleotide polymorphism (SNP) genotyping. The logistic regression was used to assess the relationship of SOCS3 methylation level and SNP genotyping with abdominal obesity. Three types of Mendelian randomization methods were implemented to examine the potential causality between SOCS3 methylation and obesity based on the SNP of SOCS3 as instrumental variables. SOCS3 methylation levels were inversely associated with abdominal obesity in five CpG sites (effect estimates ranged from 0.786 (Chr17:76356054) to 0.851 (Chr17:76356084)), and demonstrated positively association in 18 CpG sites (effect estimates ranged from 1.243 (Chr17:76354990) to 1.325 (Chr17:76355061)). The causal relationship between SOCS3 methylation and abdominal obesity was found using the maximum-likelihood method and Mendelian randomization method of penalized inverse variance weighted (MR-IVW), and the β values (95% CI) were 5.342 (0.215, 10.469) and 4.911 (0.259, 9.564), respectively. The causality was found between the SOCS3 methylation level and abdominal obesity in the Chinese population.
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Affiliation(s)
- Yuqian Li
- Departmentof Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Centre, Xi’an 710061, China
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou 450052, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450052, China
| | - Runqi Tu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450052, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450052, China
| | - Guihua Zhuang
- Departmentof Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Centre, Xi’an 710061, China
- Correspondence: ; Tel.: +86-29-826-551-03
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16
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Heianza Y, Krohn K, Xue Q, Yaskolka Meir A, Ziesche S, Ceglarek U, Blüher M, Keller M, Kovacs P, Shai I, Qi L. Changes in circulating microRNAs-99/100 and reductions of visceral and ectopic fat depots in response to lifestyle interventions: the CENTRAL trial. Am J Clin Nutr 2022; 116:165-172. [PMID: 35348584 PMCID: PMC9257465 DOI: 10.1093/ajcn/nqac070] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 03/22/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND MicroRNAs (miRNAs) are short noncoding RNAs and important posttranscriptional regulators of gene expression. Adipose tissue is a major source of circulating miRNAs; adipose-related circulating miRNAs may regulate body fat distribution and glucose metabolism. OBJECTIVES We investigated how changes in adipose-related circulating microRNAs-99/100 (miR-99/100) in response to lifestyle interventions were associated with improved body fat distribution and reductions of diabetogenic ectopic fat depots among adults with abdominal obesity. METHODS This study included adults with abdominal obesity from an 18-mo diet and physical activity intervention trial. Circulating miR-99a-5p, miR-99b-5p, and miR-100-5p were measured at baseline and 18 mo; changes in these miRNAs in response to the interventions were evaluated. The primary outcomes were changes in abdominal adipose tissue [visceral (VAT), deep subcutaneous (DSAT), and superficial subcutaneous (SSAT) adipose tissue; cm2] (n = 144). The secondary outcomes were changes in ectopic fat accumulation in the liver (n = 141) and pancreas (n = 143). RESULTS Greater decreases in miR-100-5p were associated with more reductions of VAT (β ± SE per 1-SD decrease: -9.63 ± 3.13 cm2; P = 0.0025), DSAT (β ± SE: -5.48 ± 2.36 cm2; P = 0.0218), SSAT (β ± SE: -4.64 ± 1.68 cm2; P = 0.0067), and intrahepatic fat percentage (β ± SE: -1.54% ± 0.49%; P = 0.0023) after the interventions. Similarly, participants with greater decrease in miR-99a-5p had larger 18-mo reductions of VAT (β ± SE: -10.12 ± 3.31 cm2 per 1-SD decrease; P = 0.0027) and intrahepatic fat percentage (β ± SE: -1.28% ± 0.52%; P = 0.015). Further, decreases in circulating miR-99b-5p (β ± SE: per 1-SD decrease: -0.44% ± 0.21%; P = 0.038) and miR-100-5p (β ± SE: -0.50% ± 0.23%; P = 0.033) were associated with a decrease in pancreatic fat percentage, as well as improved glucose metabolism and insulin secretion at 18 mo. CONCLUSIONS Decreases in circulating miR-99-5p/100-5p expression induced by lifestyle interventions were related to improved body fat distribution and ectopic fat accumulation. Our study suggests that changes in circulating adipose-related miR-99-5p/100-5p may be linked to reducing diabetogenic fat depots in patients with abdominal obesity.This trial was registered at clinicaltrials.gov as NCT01530724.
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Affiliation(s)
- Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Knut Krohn
- Core Unit DNA Technologies, Medical Faculty, Leipzig University, Leipzig, Germany
| | - Qiaochu Xue
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Anat Yaskolka Meir
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Stefanie Ziesche
- Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Uta Ceglarek
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig Medical Center, Leipzig, Germany
| | - Matthias Blüher
- Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG), Helmholtz Center Munich, University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Maria Keller
- Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG), Helmholtz Center Munich, University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Peter Kovacs
- Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Iris Shai
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
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17
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Wuni R, Adela Nathania E, Ayyappa AK, Lakshmipriya N, Ramya K, Gayathri R, Geetha G, Anjana RM, Kuhnle GGC, Radha V, Mohan V, Sudha V, Vimaleswaran KS. Impact of Lipid Genetic Risk Score and Saturated Fatty Acid Intake on Central Obesity in an Asian Indian Population. Nutrients 2022; 14:2713. [PMID: 35807893 PMCID: PMC9269337 DOI: 10.3390/nu14132713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 06/23/2022] [Accepted: 06/24/2022] [Indexed: 11/22/2022] Open
Abstract
Abnormalities in lipid metabolism have been linked to the development of obesity. We used a nutrigenetic approach to establish a link between lipids and obesity in Asian Indians, who are known to have a high prevalence of central obesity and dyslipidaemia. A sample of 497 Asian Indian individuals (260 with type 2 diabetes and 237 with normal glucose tolerance) (mean age: 44 ± 10 years) were randomly chosen from the Chennai Urban Rural Epidemiological Study (CURES). Dietary intake was assessed using a previously validated questionnaire. A genetic risk score (GRS) was constructed based on cholesteryl ester transfer protein (CETP) and lipoprotein lipase (LPL) genetic variants. There was a significant interaction between GRS and saturated fatty acid (SFA) intake on waist circumference (WC) (Pinteraction = 0.006). Individuals with a low SFA intake (≤23.2 g/day), despite carrying ≥2 risk alleles, had a smaller WC compared to individuals carrying <2 risk alleles (Beta = −0.01 cm; p = 0.03). For those individuals carrying ≥2 risk alleles, a high SFA intake (>23.2 g/day) was significantly associated with a larger WC than a low SFA intake (≤23.2 g/day) (Beta = 0.02 cm, p = 0.02). There were no significant interactions between GRS and other dietary factors on any of the measured outcomes. We conclude that a diet low in SFA might help reduce the genetic risk of central obesity confirmed by CETP and LPL genetic variants. Conversely, a high SFA diet increases the genetic risk of central obesity in Asian Indians.
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Affiliation(s)
- Ramatu Wuni
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading RG6 6DZ, UK; (R.W.); (G.G.C.K.)
| | - Evelyn Adela Nathania
- Indonesia International Institute for Life Sciences, JI. Pulomas Barat Kav. 88, Jakarta Timur 13210, Indonesia;
| | - Ashok K. Ayyappa
- Department of Molecular Genetics, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai 603103, India; (A.K.A.); (K.R.); (R.M.A.); (V.R.); (V.M.)
| | - Nagarajan Lakshmipriya
- Department of Food, Nutrition and Dietetics Research, Madras Diabetes Research Foundation, Chennai 600086, India; (N.L.); (R.G.); (G.G.); (V.S.)
| | - Kandaswamy Ramya
- Department of Molecular Genetics, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai 603103, India; (A.K.A.); (K.R.); (R.M.A.); (V.R.); (V.M.)
| | - Rajagopal Gayathri
- Department of Food, Nutrition and Dietetics Research, Madras Diabetes Research Foundation, Chennai 600086, India; (N.L.); (R.G.); (G.G.); (V.S.)
| | - Gunasekaran Geetha
- Department of Food, Nutrition and Dietetics Research, Madras Diabetes Research Foundation, Chennai 600086, India; (N.L.); (R.G.); (G.G.); (V.S.)
| | - Ranjit Mohan Anjana
- Department of Molecular Genetics, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai 603103, India; (A.K.A.); (K.R.); (R.M.A.); (V.R.); (V.M.)
- Department of Food, Nutrition and Dietetics Research, Madras Diabetes Research Foundation, Chennai 600086, India; (N.L.); (R.G.); (G.G.); (V.S.)
- Dr. Mohan’s Diabetes Specialties Centre, IDF Centre of Excellence in Diabetes Care, Gopalapuram, Chennai 600086, India
| | - Gunter G. C. Kuhnle
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading RG6 6DZ, UK; (R.W.); (G.G.C.K.)
| | - Venkatesan Radha
- Department of Molecular Genetics, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai 603103, India; (A.K.A.); (K.R.); (R.M.A.); (V.R.); (V.M.)
| | - Viswanathan Mohan
- Department of Molecular Genetics, Madras Diabetes Research Foundation, ICMR Centre for Advanced Research on Diabetes, Chennai 603103, India; (A.K.A.); (K.R.); (R.M.A.); (V.R.); (V.M.)
- Department of Food, Nutrition and Dietetics Research, Madras Diabetes Research Foundation, Chennai 600086, India; (N.L.); (R.G.); (G.G.); (V.S.)
- Dr. Mohan’s Diabetes Specialties Centre, IDF Centre of Excellence in Diabetes Care, Gopalapuram, Chennai 600086, India
| | - Vasudevan Sudha
- Department of Food, Nutrition and Dietetics Research, Madras Diabetes Research Foundation, Chennai 600086, India; (N.L.); (R.G.); (G.G.); (V.S.)
| | - Karani Santhanakrishnan Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading RG6 6DZ, UK; (R.W.); (G.G.C.K.)
- The Institute for Food, Nutrition, and Health (IFNH), University of Reading, Reading RG6 6AP, UK
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18
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Liu W, Li D, Yang M, Wang L, Xu Y, Chen N, Zhang Z, Shi J, Li W, Zhao S, Gao A, Chen Y, Ma Q, Zheng R, Wu S, Zhang Y, Chen Y, Qian S, Bi Y, Gu W, Tang Q, Ning G, Liu R, Wang W, Hong J, Wang J. GREM2 is associated with human central obesity and inhibits visceral preadipocyte browning. EBioMedicine 2022; 78:103969. [PMID: 35349825 PMCID: PMC8965169 DOI: 10.1016/j.ebiom.2022.103969] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 03/06/2022] [Accepted: 03/12/2022] [Indexed: 01/21/2023] Open
Abstract
Background Methods Findings Interpretation Funding
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Affiliation(s)
- Wen Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endoceine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Danjie Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Minglan Yang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Long Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyin Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Juan Shi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shaoqian Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Aibo Gao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufei Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qinyun Ma
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shujing Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yifei Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuwen Qian
- The Key Laboratory of Metabolism and Molecular Medicine of the Ministry of Education, Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Fudan University Shanghai Medical College, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqiong Gu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiqun Tang
- The Key Laboratory of Metabolism and Molecular Medicine of the Ministry of Education, Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Fudan University Shanghai Medical College, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endoceine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruixin Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Hong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiqiu Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endoceine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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19
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García-Eguren G, González-Ramírez M, Vizán P, Giró O, Vega-Beyhart A, Boswell L, Mora M, Halperin I, Carmona F, Gracia M, Casals G, Squarcia M, Enseñat J, Vidal O, Di Croce L, Hanzu FA. Glucocorticoid-induced Fingerprints on Visceral Adipose Tissue Transcriptome and Epigenome. J Clin Endocrinol Metab 2022; 107:150-166. [PMID: 34487152 DOI: 10.1210/clinem/dgab662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Chronic glucocorticoid (GC) overexposure, resulting from endogenous Cushing's syndrome (CS) or exogenous GC therapy, causes several adverse outcomes, including persistent central fat accumulation associated with a low-grade inflammation. However, no previous multiomics studies in visceral adipose tissue (VAT) from patients exposed to high levels of unsuppressed GC during active CS or after remission are available yet. OBJECTIVE To determine the persistent VAT transcriptomic alterations and epigenetic fingerprints induced by chronic hypercortisolism. METHODS We employed a translational approach combining high-throughput data on endogenous CS patients and a reversible CS mouse model. We performed RNA sequencing and chromatin immunoprecipitation sequencing on histone modifications (H3K4me3, H3K27ac, and H3K27me3) to identify persistent transcriptional and epigenetic signatures in VAT produced during active CS and maintained after remission. RESULTS VAT dysfunction was associated with low-grade proinflammatory status, macrophage infiltration, and extracellular matrix remodeling. Most notably, chronic hypercortisolism caused a persistent circadian rhythm disruption in VAT through core clock genes modulation. Importantly, changes in the levels of 2 histone modifications associated to gene transcriptional activation (H3K4me3 and H3K27ac) correlated with the observed differences in gene expression during active CS and after CS remission. CONCLUSION We identified for the first time the persistent transcriptional and epigenetic signatures induced by hypercortisolism in VAT, providing a novel integrated view of molecular components driving the long-term VAT impairment associated with CS.
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Affiliation(s)
- Guillermo García-Eguren
- Group of Endocrine Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Mar González-Ramírez
- Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Pedro Vizán
- Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Oriol Giró
- Group of Endocrine Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Arturo Vega-Beyhart
- Group of Endocrine Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Laura Boswell
- Group of Endocrine Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Endocrinology and Nutrition Department, Hospital Clinic, Barcelona, Spain
| | - Mireia Mora
- Group of Endocrine Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Endocrinology and Nutrition Department, Hospital Clinic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Medicine, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Irene Halperin
- Group of Endocrine Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Endocrinology and Nutrition Department, Hospital Clinic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Francisco Carmona
- Department of Medicine, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Gynecology and Obstetrics Department, Hospital Clínic, Barcelona, Spain
| | - Meritxell Gracia
- Department of Medicine, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Gynecology and Obstetrics Department, Hospital Clínic, Barcelona, Spain
| | - Gregori Casals
- Biomedical Diagnostics Centre, Hospital Clinic, Barcelona, Spain
| | - Mattia Squarcia
- Group of Endocrine Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Radiology, Hospital Clínic, Barcelona, Spain
| | - Joaquim Enseñat
- Department of Medicine, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Endocrine Surgery Department, Hospital Clinic, Barcelona, Spain
| | - Oscar Vidal
- Department of Medicine, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Department of Neurosurgery, Hospital Clinic, Barcelona, Spain
| | - Luciano Di Croce
- Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Felicia A Hanzu
- Group of Endocrine Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Endocrinology and Nutrition Department, Hospital Clinic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Medicine, Faculty of Medicine, University of Barcelona, Barcelona, Spain
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20
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Li J, Zhu J, Zhang Q, Chen L, Ma S, Lu Y, Shen B, Zhang R, Zhang M, He Y, Wu L, Peng H. NPPA Promoter Hypomethylation Predicts Central Obesity Development: A Prospective Longitudinal Study in Chinese Adults. Obes Facts 2022; 15:257-270. [PMID: 34875662 PMCID: PMC9021652 DOI: 10.1159/000521295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 11/26/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Atrial natriuretic peptide plays a potential role in obesity with unclear molecular mechanisms. The objective of this study was to examine the association between its coding gene (natriuretic peptide A [NPPA]) methylation and obesity. METHODS Peripheral blood DNA methylation of NPPA promoter was quantified at baseline by targeted bisulfite sequencing for 2,497 community members (mean aged 53 years, 38% men) in the Gusu cohort. Obesity was repeatedly assessed by body mass index (BMI) and waist circumference (WC) at baseline and follow-up examinations. The cross-sectional, longitudinal, and prospective associations between NPPA promoter methylation and obesity were examined. RESULTS Of the 9 CpG loci assayed, DNA methylation levels at 6 CpGs were significantly lower in participants with central obesity than those without (all p < 0.05 for permutation test). These CpG methylation levels at baseline were also inversely associated with dynamic changes in BMI or WC during follow-up (all p < 0.05 for permutation test). After an average 4 years of follow-up, hypermethylation at the 6 CpGs (CpG2 located at Chr1:11908348, CpG3 located at Chr1:11908299, CpG4 located at Chr1:11908200, CpG5 located at Chr1:11908182, CpG6 located at Chr1:11908178, and CpG8 located at Chr1:11908165) was significantly associated with a lower risk of incident central obesity (all p < 0.05 for permutation test). CONCLUSIONS Hypomethylation at NPPA promoter was associated with increased future risk of central obesity in Chinese adults. Aberrant DNA methylation of the NPPA gene may participate in the mechanisms of central obesity.
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Affiliation(s)
- Jing Li
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Jinhua Zhu
- Department of Chronic Disease Management, Center for Disease Prevention and Control of Wujiang District, Suzhou, China
| | - Qiu Zhang
- Department of Chronic Disease Management, Center for Disease Prevention and Control of Gusu District, Suzhou, China
| | - Linan Chen
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Shengqi Ma
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Ying Lu
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Bin Shen
- Department of Chronic Disease Management, Center for Disease Prevention and Control of Wujiang District, Suzhou, China
| | - Rongyan Zhang
- Department of Chronic Disease Management, Center for Disease Prevention and Control of Wujiang District, Suzhou, China
| | - Mingzhi Zhang
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Yan He
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou, China
| | - Lei Wu
- Department of Maternal and Child Health, Suzhou Industrial Park Center for Disease Control and Prevention, Suzhou, China
- *Lei Wu,
| | - Hao Peng
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou, China
- ** Hao Peng,
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21
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Lin WY, Wang YC, Teng IH, Liu C, Lou XY. Associations of five obesity metrics with epigenetic age acceleration: Evidence from 2,474 Taiwan Biobank participants. Obesity (Silver Spring) 2021; 29:1731-1738. [PMID: 34472716 DOI: 10.1002/oby.23255] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/16/2021] [Accepted: 06/18/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Obesity is associated with epigenetic age acceleration (EAA), resulting in an increased risk of many age-related disorders. However, most studies have focused on the relationship of EAA with BMI. Whether any other obesity metric is more relevant to EAA remains unknown. METHODS Here, the methylation ages of 2,474 Taiwan Biobank (TWB) participants were calculated according to Levine's phenotypic age (PhenoAge) and Lu's GrimAge. Residuals from regressing methylation age on chronological age were used to quantify PhenoEAA and GrimEAA. Five obesity metrics were evaluated, namely BMI, body fat percentage, waist circumference, hip circumference, and waist-hip ratio. Sex-stratified EAA was regressed on each of the five obesity metrics. RESULTS For male individuals, an increase of one SD in waist-hip ratio (0.06) was associated with a 0.602-year PhenoEAA (p = 6.3E-6) and a 0.481-year GrimEAA (p = 1.2E-8). For female individuals, every SD increase in BMI (3.7 kg/m2 ) was associated with a 0.600-year PhenoEAA (p = 3.3E-5) and a 0.305-year GrimEAA (p = 3.1E-5). CONCLUSIONS "Abdominal obesity" and "general obesity" are significantly associated with male and female EAA, respectively. The prevention of abdominal obesity and general obesity is associated with a lower risk of EAA in men and women, respectively.
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Affiliation(s)
- Wan-Yu Lin
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Master of Public Health Degree Program, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Yu-Cyuan Wang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - I-Hsuan Teng
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chi Liu
- Master Program in Statistics, National Taiwan University, Taipei, Taiwan
| | - Xiang-Yang Lou
- Department of Biostatistics, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, USA
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22
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Dong SS, Zhu DL, Zhou XR, Rong Y, Zeng M, Chen JB, Jiang F, Tuo XM, Feng Z, Yang TL, Guo Y. An Intronic Risk SNP rs12454712 for Central Obesity Acts As an Allele-Specific Enhancer To Regulate BCL2 Expression. Diabetes 2021; 70:1679-1688. [PMID: 34035043 DOI: 10.2337/db20-1151] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 05/10/2021] [Indexed: 11/13/2022]
Abstract
Genome-wide association studies (GWAS) have reproducibly associated the single nucleotide polymorphism (SNP) rs12454712 with waist-to-hip ratio adjusted for BMI (WHRadjBMI), but the functional role underlying this intronic variant is unknown. Integrative genomic and epigenomic analyses supported rs12454712 as a functional independent variant. We further demonstrated that rs12454712 acted as an allele-specific enhancer regulating expression of its located gene BCL2 by using dual-luciferase reporter assays and clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9. Specifically, the rs12454712-C allele can bind transcription factor ZNF329, which efficiently elevates the enhancer activity and increases BCL2 expression. Knocking down Bcl2 in 3T3-L1 cells led to the downregulation of adipogenic differentiation marker genes and increased cell apoptosis. A significant negative correlation between BCL2 expression in subcutaneous adipose tissues and obesity was observed. Our findings illustrate the molecular mechanisms behind the intronic SNP rs12454712 for central obesity, which would be a potential and promising target for developing appropriate therapies.
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Affiliation(s)
- Shan-Shan Dong
- Biomedical Informatics & Genomics Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
- Research Institute of Xi'an Jiaotong University, Hangzhou, Zhejiang, China
| | - Dong-Li Zhu
- Biomedical Informatics & Genomics Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xiao-Rong Zhou
- Biomedical Informatics & Genomics Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Yu Rong
- Biomedical Informatics & Genomics Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Mengqi Zeng
- Center for Mitochondrial Biology and Medicine, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Jia-Bin Chen
- Biomedical Informatics & Genomics Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Feng Jiang
- Biomedical Informatics & Genomics Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xiao-Mei Tuo
- Biomedical Informatics & Genomics Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Zhihui Feng
- Center for Mitochondrial Biology and Medicine, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Tie-Lin Yang
- Biomedical Informatics & Genomics Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Yan Guo
- Biomedical Informatics & Genomics Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
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Aasbrenn M, Svendstrup M, Schnurr TM, Lindqvist Hansen D, Worm D, Balslev-Harder M, Grarup N, Burgdorf KS, Vestergaard H, Pedersen O, Ängquist L, Fenger M, Sørensen TIA, Madsbad S, Hansen T. Genetic markers of abdominal obesity and weight loss after gastric bypass surgery. PLoS One 2021; 16:e0252525. [PMID: 34048505 PMCID: PMC8162622 DOI: 10.1371/journal.pone.0252525] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 05/17/2021] [Indexed: 11/18/2022] Open
Abstract
Background Weight loss after bariatric surgery varies widely between individuals, partly due to genetic differences. In addition, genetic determinants of abdominal obesity have been shown to attenuate weight loss after dietary intervention with special attention paid to the rs1358980-T risk allele in the VEGFA locus. Here we aimed to test if updated genetic risk scores (GRSs) for adiposity measures and the rs1358980-T risk allele are linked with weight loss following gastric bypass surgery. Methods Five hundred seventy six patients with morbid obesity underwent Roux-en-Y gastric bypass. A GRS for BMI and a GRS for waist-hip-ratio adjusted for BMI (proxy for abdominal obesity), respectively, were constructed. All patients were genotyped for the rs1358980-T risk allele. Associations between the genetic determinants and weight loss after bariatric surgery were evaluated. Results The GRS for BMI was not associated with weight loss (β = -2.0 kg/100 risk alleles, 95% CI -7.5 to 3.3, p = 0.45). Even though the GRS for abdominal obesity was associated with an attenuated weight loss response adjusted for age, sex and center (β = -14.6 kg/100 risk alleles, 95% CI -25.4 to -3.8, p = 0.008), it was not significantly associated with weight loss after adjustment for baseline BMI (β = -7.9 kg/100 risk alleles, 95% CI -17.5 to 1.6, p = 0.11). Similarly, the rs1358980-T risk allele was not significantly associated with weight loss (β = -0.8 kg/risk allele, 95% CI -2.2 to 0.6, p = 0.25). Discussion GRSs for adiposity derived from large meta-analyses and the rs1358980-T risk allele in the VEGFA locus did not predict weight loss after gastric bypass surgery. The association between a GRS for abdominal obesity and the response to bariatric surgery may be dependent on the association between the GRS and baseline BMI.
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Affiliation(s)
- Martin Aasbrenn
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Geriatric Research Unit, Department of Geriatrics, Bispebjerg-Frederiksberg University Hospital, Copenhagen, Denmark
- * E-mail:
| | - Mathilde Svendstrup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Endocrinology, Bispebjerg-Frederiksberg University Hospital, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Theresia M. Schnurr
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Dorte Worm
- Department of Medicine, Amager Hospital, Copenhagen, Denmark
| | - Marie Balslev-Harder
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Henrik Vestergaard
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Bornholms Hospital, Rønne, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lars Ängquist
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mogens Fenger
- Department of Clinical Biochemistry, Hvidovre University Hospital, Copenhagen, Denmark
| | - Thorkild I. A. Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Sten Madsbad
- Department of Endocrinology, Hvidovre University Hospital, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Chen JL, Guo J, Mao P, Yang J, Jiang S, He W, Lin CX, Lien K. Are the factors associated with overweight/general obesity and abdominal obesity different depending on menopausal status? PLoS One 2021; 16:e0245150. [PMID: 33539356 PMCID: PMC7861369 DOI: 10.1371/journal.pone.0245150] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 12/22/2020] [Indexed: 11/21/2022] Open
Abstract
Rapid modernization in China has impacted the daily lives and health of women, including a rise in obesity. However, little is known about the impact of menopausal status, behavior, and psychosocial factors on the risk of obesity for rural women in China. The aim of this study is to identify risk factors, including demographic information (education, family history of T2DM, menopausal status), obesity-related behavior, and psychosocial factors associated with overweight/general obesity and abdominal obesity. In a cross-sectional study design, participants had their weight, height, and waist circumference measured and completed questionnaires regarding family demographics, obesity-related health behaviors (physical activity, diet, sleep), and psychosocial information (stress, social support, and self-efficacy related to physical activity and healthy diet). A total of 646 women were included in this study; 46.6% were overweight/generally obese, and 48% had abdominal obesity. Postmenopausal women had a higher prevalence of general and central obesity. Regular physical activity decreased the risk for overweight/general obesity and abdominal obesity (OR = .41 and .31, respectively, p = .04) in premenopausal women. Postmenopausal women who had not breastfed their infants and reported moderate/high-stress had a higher risk for overweight/general obesity (OR = 3.93, and 2, respectively) and those who reported less than 6 hours of sleep per day increased their risk for abdominal obesity (OR = 2.08). Different factors associated with obesity were found in Chinese women, depending on menopausal status. Future studies should examine the impact of menopause on a woman’s risk for obesity, as well as develop tailored interventions to improve health, well-being and reduce the risk of obesity.
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Affiliation(s)
- Jyu-Lin Chen
- Department of Family Health Care Nursing, University of California, San Francisco, California, United States of America
| | - Jia Guo
- Xiangya School of Nursing, Central South University, Changsha, China
- * E-mail:
| | - Ping Mao
- Nursing Department, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jundi Yang
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Shan Jiang
- Nursing Department, Zhongda Hospital, Southeast University, Jiangsu, Nanjing, China
| | - Wei He
- Nursing Department, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chen-Xi Lin
- Department of Family Health Care Nursing, University of California, San Francisco, California, United States of America
| | - Kathy Lien
- Department of Family Health Care Nursing, University of California, San Francisco, California, United States of America
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25
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Jia R, Huang M, Qian L, Yan X, Lv Q, Ye H, Ye L, Wu X, Chen W, Chen Y, Jia Y, Huang Y, Wu H. The Depletion of Carbohydrate Metabolic Genes in the Gut Microbiome Contributes to the Transition From Central Obesity to Type 2 Diabetes. Front Endocrinol (Lausanne) 2021; 12:747646. [PMID: 34745012 PMCID: PMC8569854 DOI: 10.3389/fendo.2021.747646] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 09/21/2021] [Indexed: 12/12/2022] Open
Abstract
Obesity, especially central obesity, is a strong risk factor for developing type 2 diabetes (T2D). However, the mechanism underlying the progression from central obesity to T2D remains unknown. Therefore, we analyzed the gut microbial profiles of central obese individuals with or without T2D from a Chinese population. Here we reported both the microbial compositional and gene functional alterations during the progression from central obesity to T2D. Several opportunistic pathogens were enriched in obese T2D patients. We also characterized thousands of genes involved in sugar and amino acid metabolism whose abundance were significantly depleted in obese T2D group. Moreover, the abundance of those genes was negatively associated with plasma glycemia level and percentage of individuals with impaired plasma glucose status. Therefore, our study indicates that the abundance of those depleted genes can be used as a potential biomarker to identify central obese individuals with high risks of developing T2D.
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MESH Headings
- Adult
- Biomarkers/metabolism
- Carbohydrate Metabolism/genetics
- Case-Control Studies
- China
- Diabetes Mellitus, Type 2/etiology
- Diabetes Mellitus, Type 2/genetics
- Diabetes Mellitus, Type 2/metabolism
- Diabetes Mellitus, Type 2/microbiology
- Disease Progression
- Disease Susceptibility
- Female
- Gastrointestinal Microbiome/genetics
- Humans
- Male
- Metagenome/physiology
- Obesity, Abdominal/genetics
- Obesity, Abdominal/metabolism
- Obesity, Abdominal/microbiology
- Obesity, Abdominal/pathology
- RNA, Ribosomal, 16S/analysis
- RNA, Ribosomal, 16S/genetics
- Risk Factors
- Transcriptome
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Affiliation(s)
| | - Min Huang
- Department of General Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | | | - Xiaoye Yan
- Department of General Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Qing Lv
- Department of General Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Hua Ye
- GENEWIZ Inc., Suzhou, China
| | - Li Ye
- GENEWIZ Inc., Suzhou, China
| | - Xin Wu
- GENEWIZ Inc., Suzhou, China
| | | | | | | | - Yueqing Huang
- Department of General Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
- *Correspondence: Yueqing Huang, ; Huihui Wu,
| | - Huihui Wu
- GENEWIZ Inc., Suzhou, China
- *Correspondence: Yueqing Huang, ; Huihui Wu,
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Yan B, Yang J, Zhao B, Wu Y, Bai L, Ma X. Causal Effect of Visceral Adipose Tissue Accumulation on the Human Longevity: A Mendelian Randomization Study. Front Endocrinol (Lausanne) 2021; 12:722187. [PMID: 34539575 PMCID: PMC8440971 DOI: 10.3389/fendo.2021.722187] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 08/06/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Observational studies have demonstrated a close relationship between obesity and longevity. The aim of this Mendelian randomization (MR) study is to investigate whether genetic determinants of visceral adipose tissue (VAT) accumulation are causally associated with longevity. METHODS In this two-sample MR study, we used summary data of genetic determinants (single-nucleotide polymorphisms; p < 5 × 10-8) of VAT accumulation based on genome-wide association studies (GWASs). Longevity was defined as an age beyond the 90th or 99th survival percentile. The causal association of VAT accumulation with longevity was estimated with the inverse variance-weighted (IVW) method. Sensitivity analyses, including weighted median, MR-Egger, and MR-pleiotropy residual sum and outlier (PRESSO), were also employed to assess the stability of the IVW results. RESULTS Our MR analysis used 221 genetic variants as instrumental variables to explore the causal association between VAT accumulation and longevity. In the standard IVW methods, VAT accumulation (per 1-kg increase) was found to be significantly associated with lower odds of surviving to the 90th (odds ratio [OR] = 0.69; 95% confidence interval [CI] 0.55 to 0.86, p = 8.32 × 10-4) and 99th (OR = 0.67; 95% CI 0.49 to 0.91, p = 0.011) percentile ages. These findings remained stable in sensitivity analysis. CONCLUSION This MR analysis identified a causal relationship between genetically determined VAT accumulation and longevity, suggesting that visceral adiposity may have a negative effect on longevity.
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Affiliation(s)
- Bin Yan
- Department of Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Xiancang Ma, ; Bin Yan,
| | - Jian Yang
- Department of Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Binbin Zhao
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yanhua Wu
- Department of Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Ling Bai
- Department of Cardiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xiancang Ma
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Xiancang Ma, ; Bin Yan,
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27
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Ma M, Lee JH, Kim M. Identification of a TMEM182 rs141764639 polymorphism associated with central obesity by regulating tumor necrosis factor-α in a Korean population. J Diabetes Complications 2020; 34:107732. [PMID: 32938560 DOI: 10.1016/j.jdiacomp.2020.107732] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 08/19/2020] [Accepted: 08/24/2020] [Indexed: 11/25/2022]
Abstract
AIMS To investigate the effect of a single nucleotide polymorphism (SNP) in transmembrane protein 182 (TMEM182) on the risk of having central obesity and the related phenotype. METHODS In total, 2141 subjects with central obesity (n = 827) and normal controls (n = 1314) were included. The most strongly associated SNPs were related to waist circumference, and one SNP, rs141764639, was identified in TMEM182 (p = 7.30E-06, q = 0.0326). RESULTS The TC genotype was associated with more central obesity; higher levels of blood pressure, glucose-related parameters, and inflammatory markers; abnormal lipid profiles; and smaller LDL particle sizes than the major allele homozygotes in the total population. TNF-α in the TC genotype showed extremely high levels compared to the TT genotype. There were significant interactions between the genotypes and waist circumference in relation to LDL particle size, TNF-α level, and IL-6 level. Compared with the reference group, the odds ratio for central obesity in C allele carriers was significantly increased by 2-fold. CONCLUSIONS The polymorphism of TMEM182 rs141764639 might have an effect on the incidence of central obesity in the Korean population by interacting with the upregulation of TNF-α, a proinflammatory cytokine. Moreover, LDL particle size, which is an atherogenic lipid profile trait, was associated with the TMEM182 rs141764639 genotype.
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Affiliation(s)
- Minjueng Ma
- National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomics, Department of Food and Nutrition, College of Human Ecology, Yonsei University, Seoul 03722, Republic of Korea
| | - Jong Ho Lee
- National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomics, Department of Food and Nutrition, College of Human Ecology, Yonsei University, Seoul 03722, Republic of Korea
| | - Minjoo Kim
- Department of Food and Nutrition, College of Life Science and Nano Technology, Hannam University, Daejeon 34054, Republic of Korea.
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Abstract
Obesity-associated metabolic illnesses are increasing at an alarming rate in Asian countries. A common feature observed in the Asian population is a higher incidence of abdominal obesity-the "skinny-fat" Asian syndrome. In this review, we critically evaluate the relative roles of genetics and environmental factors on fat distribution in Asian populations. While there is an upward trend in obesity among most Asian countries, it appears particularly conspicuous in Malaysia. We propose a novel theory, the Malaysian gene-environment multiplier hypothesis, which explains how ancestral variations in feast-and-famine cycles contribute to inherited genetic predispositions that, when acted on by modern-day stressors-most notably, urbanization, westernization, lifestyle changes, dietary transitions, cultural pressures, and stress-contribute to increased visceral adiposity in Asian populations. At present, the major determinants contributing to visceral adiposity in Asians are far from conclusive, but we seek to highlight critical areas for further research.
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Affiliation(s)
- Rachel Williams
- Department of Internal Medicine, University of Central Florida (UCF) College of Medicine, Burnett School of Biomedical Sciences, Orlando, FL, USA
| | - Muthu Periasamy
- Department of Internal Medicine, University of Central Florida (UCF) College of Medicine, Burnett School of Biomedical Sciences, Orlando, FL, USA
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29
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Zhu Z, Hasegawa K, Ma B, Fujiogi M, Camargo CA, Liang L. Association of obesity and its genetic predisposition with the risk of severe COVID-19: Analysis of population-based cohort data. Metabolism 2020; 112:154345. [PMID: 32835759 PMCID: PMC7442576 DOI: 10.1016/j.metabol.2020.154345] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 08/13/2020] [Accepted: 08/14/2020] [Indexed: 01/07/2023]
Abstract
OBJECTIVE We aimed to examine the associations of obesity-related traits (body mass index [BMI], central obesity) and their genetic predisposition with the risk of developing severe COVID-19 in a population-based data. RESEARCH DESIGN AND METHODS We analyzed data from 489,769 adults enrolled in the UK Biobank-a population-based cohort study. The exposures of interest are BMI categories and central obesity (e.g., larger waist circumference). Using genome-wide genotyping data, we also computed polygenic risk scores (PRSs) that represent an individual's overall genetic risk for each obesity trait. The outcome was severe COVID-19, defined by hospitalization for laboratory-confirmed COVID-19. RESULTS Of 489,769 individuals, 33% were normal weight (BMI, 18.5-24.9 kg/m2), 43% overweight (25.0-29.9 kg/m2), and 24% obese (≥30.0 kg/m2). The UK Biobank identified 641 patients with severe COVID-19. Compared to adults with normal weight, those with a higher BMI had a dose-response increases in the risk of severe COVID-19, with the following adjusted ORs: for 25.0-29.9 kg/m2, 1.40 (95%CI 1.14-1.73; P = 0.002); for 30.0-34.9 kg/m2, 1.73 (95%CI 1.36-2.20; P < 0.001); for 35.0-39.9 kg/m2, 2.82 (95%CI 2.08-3.83; P < 0.001); and for ≥40.0 kg/m2, 3.30 (95%CI 2.17-5.03; P < 0.001). Likewise, central obesity was associated with significantly higher risk of severe COVID-19 (P < 0.001). Furthermore, larger PRS for BMI was associated with higher risk of outcome (adjusted OR per BMI PRS Z-score 1.14, 95%CI 1.05-1.24; P = 0.004). CONCLUSIONS In this large population-based cohort, individuals with more-severe obesity, central obesity, or genetic predisposition for obesity are at higher risk of developing severe-COVID-19.
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Affiliation(s)
- Zhaozhong Zhu
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kohei Hasegawa
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Baoshan Ma
- College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China
| | - Michimasa Fujiogi
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Liming Liang
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Ramakrishna A, Bale LK, West SA, Conover CA. Genetic and Pharmacological Inhibition of PAPP-A Protects Against Visceral Obesity in Mice. Endocrinology 2020; 161:5901798. [PMID: 32888014 PMCID: PMC7528556 DOI: 10.1210/endocr/bqaa160] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 09/01/2020] [Indexed: 01/29/2023]
Abstract
Pathogenicity of visceral adipose tissue (VAT) has been linked to the metabolic stress of enlarging mature adipocytes and a limited ability to recruit new adipocytes. One of the major distinguishing features of VAT preadipocytes is the high expression of the zinc metalloprotease, pregnancy-associated plasma protein-A (PAPP-A), when compared to subcutaneous adipose tissue (SAT). In this study we used 2 different approaches to investigate the effect of PAPP-A inhibition on different fat depots in mice on a high-fat diet (HFD) for 15 weeks. Conditional knockdown of PAPP-A gene expression in female adult mice resulted in significant decreases of 30% to 40% in adipocyte size in VAT (mesenteric and pericardial depots) compared to control mice. There was no effect on SAT (inguinal) or intra-abdominal perigonadal fat. Liver lipid was also significantly decreased without any effect on heart and skeletal muscle lipid. We found similar effects when using a pharmacological approach. Weekly injections of a specific immunoneutralizing monoclonal antibody (mAb-PA 1/41) or isotype control were given to male and female wild-type mice on HFD for 15 weeks. Adipocyte size was significantly decreased (30%-50%) only in VAT with mAb-PA 1/41 treatment. In this model, cell number was significantly increased in mesenteric fat in mice treated with mAb-PA 1/41, suggesting hyperplasia along with reduced hypertrophy in this VAT depot. Gene expression data indicated a significant decrease in F4/80 (macrophage marker) and interleukin-6 (proinflammatory cytokine) and a significant increase in adiponectin (anti-inflammatory adipokine with beneficial metabolic effects) in mesenteric fat compared to inguinal fat in mice treated with mAb-PA 1/41. Furthermore, there was significantly decreased liver lipid content with mAb-PA 1/41 treatment. Thus, using 2 different models systems we provide proof of principle that PAPP-A inhibition is a potential therapeutic target to prevent visceral obesity and its metabolic sequelae, such as fatty liver.
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Affiliation(s)
| | - Laurie K Bale
- Division of Endocrinology Mayo Clinic, Rochester, Minnesota
| | - Sally A West
- Division of Endocrinology Mayo Clinic, Rochester, Minnesota
| | - Cheryl A Conover
- Division of Endocrinology Mayo Clinic, Rochester, Minnesota
- Correspondence: Cheryl A. Conover, PhD, Mayo Clinic, Endocrine Research Unit, 200 First St SW, 5-194 Joseph, Rochester, MN 55905, USA. E-mail:
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Song Q, Huang T, Song J, Meng X, Li C, Wang Y, Wang H. Causal associations of body mass index and waist-to-hip ratio with cardiometabolic traits among Chinese children: A Mendelian randomization study. Nutr Metab Cardiovasc Dis 2020; 30:1554-1563. [PMID: 32636122 DOI: 10.1016/j.numecd.2020.05.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 04/07/2020] [Accepted: 05/08/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND AIMS Body mass index (BMI) and waist-to-hip ratio (WHR) have been reported to be causally associated with cardiometabolic diseases in adults in European populations. However, this causality was less explored in East Asian populations and in children. Our study aimed to explore and compare the causal associations of general obesity (measured by BMI) and central obesity (measured by WHR) with cardiometabolic traits. METHODS AND RESULTS We performed a Mendelian randomization (MR) analysis in 2030 unrelated children from two independent case-control studies in Beijing, China. BMI-associated single nucleotide polymorphisms (SNPs) and WHR-SNPs identified by previous genome-wide association studies were used as genetic instruments to examine the casual associations of BMI and WHR with cardiometabolic traits, including glycemic traits, blood lipids, and blood pressure. Each 1-SD increase in BMI and WHR were significantly associated with 0.111 mmol/L and 0.110 mmol/L increase in log-transformed fasting insulin (FINS), 0.049 and 0.060 increase in log-transformed HOMA-β, 0.112 and 0.108 increase in log-transformed HOMA-IR, 0.009 mmol/L and 0.015 mmol/L increase in log-transformed triglyceride, and 15.527 mmHg and 7.277 mmHg increase in systolic blood pressure, respectively (all P < 0.05). The receiver operating characteristic curves showed that WHR had a stronger effect on FINS, HOMA-β, HOMA-IR, and triglyceride than BMI (all P < 0.05). CONCLUSIONS Using the MR method, we found that the genetic predisposition to higher BMI or WHR was associated with altered cardiometabolic traits in Chinese children. When compared with general obesity, central obesity might have stronger effects on glycemic traits and blood lipids among children.
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Affiliation(s)
- Qiying Song
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Jieyun Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Xiangrui Meng
- Center for Global Health Research, Usher Institute of Population and Health Sciences and Informatics, University of Edinburgh, Scotland, UK
| | - Chenxiong Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Yan Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Haijun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China.
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Posadas-Sánchez R, Del Carmen González-Salazar M, Cardoso-Saldaña G, Andrés Criales-Vera S, Reyes-Barrera J, Pérez-Hernández N, Manuel Fragoso J, Vargas-Alarcón G. Epstein-Barr virus-induced gene 3 (EBI3) single nucleotide polymorphisms and their association with central obesity and risk factors for cardiovascular disease: The GEA study. Cytokine 2020; 135:155225. [PMID: 32763760 DOI: 10.1016/j.cyto.2020.155225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 07/01/2020] [Accepted: 07/27/2020] [Indexed: 10/23/2022]
Abstract
Obesity, a chronic low-grade inflammation metabolic abnormality, is related to high proinflammatory cytokines concentrations. Epstein-Barr virus-induced gene 3 (EBI3) encodes for the EBI3 beta subunit that constitutes interleukin (IL) 27 and 35. Our objective was to assess the association of three EBI3 single nucleotide polymorphisms (SNPs) with the presence of central obesity in a group of Mexican subjects. The rs428253, rs4740, and rs4905 EBI3 SNPs were genotyped in 1323 individuals (1092 central obese and 231 non-central obese). We also analyzed IL-6, IL-27, and IL-35 concentrations. Under different models, the rs4740 (OR = 0.384, Precessive = 0.010; OR = 0.404, Pcodominant 2 = 0.019) and rs4905 (OR = 0.380, Precessive = 0.009; OR = 0.404, Pcodominant 2 = 0.018) were related with a low risk of central obesity. In central obese subjects, the SNPs were related to lower risk of hypoalphalipoproteinemia (rs4740) and with high IL-6 concentrations (rs428253, rs4740, and rs4905), whereas in non-central obese individuals, the rs428253 was related with low risk of increased visceral abdominal fat and hypertriglyceridemia. Interleukin-6, IL-27 and IL-35 concentrations were similar in both groups and no relation was noticed with the studied genotypes. Our results suggest an association of EBI3 SNPs with a low risk of central obesity and with a few risk factors for cardiovascular disease in individuals with and without central obesity.
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Affiliation(s)
- Rosalinda Posadas-Sánchez
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico
| | | | - Guillermo Cardoso-Saldaña
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico
| | | | - Juan Reyes-Barrera
- Department of Endocrinology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico
| | - Nonanzit Pérez-Hernández
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico
| | - José Manuel Fragoso
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico
| | - Gilberto Vargas-Alarcón
- Department of Molecular Biology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico.
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Zhang Y, Chen Z, He Y, Wang J, Jiang M, Xu J, Chen M, Feng Y. Identification of Differentially Expressed Proteins in Serum of Obese Patients by Isobaric Tags for Relative and Absolute Quantification (iTRAQ)-Coupled 2D LC-MS. Med Sci Monit 2020; 26:e924882. [PMID: 32740648 PMCID: PMC7418484 DOI: 10.12659/msm.924882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The aim of this study was to identify the differentially expressed proteins of obese patients compared with normal participants and to provide a potential target for future investigation of obesity. MATERIAL AND METHODS We enrolled 10 obese male adults and 10 matched normal subjects. Serum samples were collected to get total protein extraction, denaturation, deoxidation, and enzymatic hydrolysis. Differentially expressed proteins were distinguished with mass spectrometry after samples were labeled with iTRAQ. RESULTS A total of 9622 differentially expressed peptides were identified, corresponding to 733 proteins; 118 proteins of these showed significant differential expression, with 15 upregulated and 103 downregulated. CONCLUSIONS iTRAQ is an effective technique to identify differentially expressed proteins in obese patients. The development of obesity is correlated with a series of complex elements and mutual effects. The proteins identified in this study may provide novel directions and targets for future pathological studies of obesity.
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Affiliation(s)
- Ying Zhang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China (mainland)
| | - Zhong Chen
- Department of Obstetrics and Gynecology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China (mainland)
| | - Yue He
- Department of Obstetrics and Gynecology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China (mainland)
| | - Jianxia Wang
- Department of Obstetrics and Gynecology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China (mainland)
| | - Minhui Jiang
- Department of Obstetrics and Gynecology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China (mainland)
| | - Jianjuan Xu
- Department of Obstetrics and Gynecology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China (mainland)
| | - Minghua Chen
- Department of Obstetrics and Gynecology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China (mainland)
| | - Yaling Feng
- Department of Obstetrics and Gynecology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China (mainland)
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Liu Z, Zhang Y, Graham S, Wang X, Cai D, Huang M, Pique-Regi R, Dong XC, Chen YE, Willer C, Liu W. Causal relationships between NAFLD, T2D and obesity have implications for disease subphenotyping. J Hepatol 2020; 73:263-276. [PMID: 32165250 PMCID: PMC7371536 DOI: 10.1016/j.jhep.2020.03.006] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 02/18/2020] [Accepted: 03/03/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND & AIMS Non-alcoholic fatty liver disease (NAFLD), type 2 diabetes (T2D) and obesity are epidemiologically correlated with each other but the causal inter-relationships between them remain incompletely understood. We aimed to explore the causal relationships between the 3 diseases. METHODS Using both UK Biobank and publicly available genome-wide association study data, we performed a 2-sample bidirectional Mendelian randomization analysis to test the causal inter-relationships between NAFLD, T2D, and obesity. Transgenic mice expressing the human PNPLA3-I148M isoforms (TghPNPLA3-I148M) were used as an example to validate causal effects and explore underlying mechanisms. RESULTS Genetically driven NAFLD significantly increased the risk of T2D and central obesity but not insulin resistance or generalized obesity, while genetically driven T2D, body mass index and WHRadjBMI causally increased NAFLD risk. The animal study focusing on PNPLA3 corroborated these causal effects: compared to the TghPNPLA3-I148I controls, the TghPNPLA3-I148M mice developed glucose intolerance and increased visceral fat, but maintained normal insulin sensitivity, reduced body weight, and decreased circulating total cholesterol. Mechanistically, the TghPNPLA3-I148M mice demonstrated decreased pancreatic insulin but increased glucagon secretion, which was associated with increased pancreatic inflammation. In addition, transcription of hepatic cholesterol biosynthesis pathway genes was significantly suppressed, while transcription of thermogenic pathway genes was activated in subcutaneous and brown adipose tissues but not in visceral fat in TghPNPLA3-I148M mice. CONCLUSIONS Our study suggests that lifelong, genetically driven NAFLD causally promotes T2D with a late-onset type 1-like diabetic subphenotype and central obesity; while genetically driven T2D, obesity, and central obesity all causally increase the risk of NAFLD. This causal relationship revealed new insights into how nature and nurture drive these diseases, providing novel hypotheses for disease subphenotyping. LAY SUMMARY Non-alcoholic fatty liver disease, type 2 diabetes and obesity are epidemiologically correlated with each other, but their causal relationships were incompletely understood. Herein, we identified causal relationships between these conditions, which suggest that each of these closely related diseases should be further stratified into subtypes. This is important for accurate diagnosis, prevention and treatment of these diseases.
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Affiliation(s)
- Zhipeng Liu
- Department of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, IN 47907, USA
| | - Yang Zhang
- Department of Pharmaceutical Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI 48201, USA
| | - Sarah Graham
- Department of Internal Medicine: Cardiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Xiaokun Wang
- Department of Pharmaceutical Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI 48201, USA
| | - Defeng Cai
- Department of Pharmaceutical Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI 48201, USA; The Affiliated Shenzhen Children's Hospital Laboratory Medicine, Shenzhen Children's Hospital, Shenzhen, 518038, China
| | - Menghao Huang
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Roger Pique-Regi
- Center for Molecular Medicine and Medical Genetics, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Xiaocheng Charlie Dong
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Y Eugene Chen
- Department of Internal Medicine: Cardiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Cristen Willer
- Department of Internal Medicine: Cardiology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Wanqing Liu
- Department of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, IN 47907, USA; Department of Pharmaceutical Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI 48201, USA; Department of Pharmacology, School of Medicine, Wayne State University, Detroit, MI 48201, USA.
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Espinosa-Salinas I, San-Cristobal R, Colmenarejo G, Loria-Kohen V, Molina S, Reglero G, Ramirez de Molina A, Martinez JA. Polymorphic Appetite Effects on Waist Circumference Depend on rs3749474 CLOCK Gene Variant. Nutrients 2020; 12:E1846. [PMID: 32575803 PMCID: PMC7353411 DOI: 10.3390/nu12061846] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 06/16/2020] [Accepted: 06/18/2020] [Indexed: 11/29/2022] Open
Abstract
Chronobiological aspects controlled by CLOCK genes may influence obesity incidence. Although there are studies that show an association between the expression of these genes and energy intake, waist circumference or abdominal obesity phenotypes, interactions with appetite have been insufficiently investigated in relation to chrononutrition. The objective was to identify interactions between CLOCK genetic variants involved in appetite status. A total of 442 subjects (329 women, 113 men; aged 18 to 65 years) were recruited. Anthropometric, dietary and lifestyle data were collected by trained nutritionists. Participants were classified according to their appetite feelings with a Likert scale. Multiple linear regression models were used to examine associations of the type genotype x appetite status on adiposity-related variables. p values were corrected by the Bonferroni method. A significant influence was found concerning the effects of appetite on waist circumference with respect to rs3749474 CLOCK polymorphism (p < 0.001). An additive model analysis (adjusted by age, gender, exercise and energy intake) showed that risk allele carriers, increased the waist circumference around 14 cm (β = 14.1, CI = 6.3-22.0) by each increment in the level of appetite. The effects of appetite on waist circumference may be partly modulated by the rs3749474 CLOCK polymorphism.
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Affiliation(s)
- Isabel Espinosa-Salinas
- IMDEA-Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain; (R.S.-C.); (G.C.); (V.L.-K.); (S.M.); (G.R.); (J.A.M.)
| | - Rodrigo San-Cristobal
- IMDEA-Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain; (R.S.-C.); (G.C.); (V.L.-K.); (S.M.); (G.R.); (J.A.M.)
| | - Gonzalo Colmenarejo
- IMDEA-Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain; (R.S.-C.); (G.C.); (V.L.-K.); (S.M.); (G.R.); (J.A.M.)
| | - Viviana Loria-Kohen
- IMDEA-Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain; (R.S.-C.); (G.C.); (V.L.-K.); (S.M.); (G.R.); (J.A.M.)
| | - Susana Molina
- IMDEA-Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain; (R.S.-C.); (G.C.); (V.L.-K.); (S.M.); (G.R.); (J.A.M.)
| | - Guillermo Reglero
- IMDEA-Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain; (R.S.-C.); (G.C.); (V.L.-K.); (S.M.); (G.R.); (J.A.M.)
- Institute of Food Science Research (CIAL) CEI UAM+CSIC, 28049 Madrid, Spain
| | - Ana Ramirez de Molina
- IMDEA-Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain; (R.S.-C.); (G.C.); (V.L.-K.); (S.M.); (G.R.); (J.A.M.)
| | - J. Alfredo Martinez
- IMDEA-Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain; (R.S.-C.); (G.C.); (V.L.-K.); (S.M.); (G.R.); (J.A.M.)
- Center for Nutrition Research (CIN), Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Center of Biomedical Research in Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
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Katus U, Villa I, Ringmets I, Vaht M, Mäestu E, Mäestu J, Veidebaum T, Harro J. Association of FTO rs1421085 with obesity, diet, physical activity, and socioeconomic status: A longitudinal birth cohort study. Nutr Metab Cardiovasc Dis 2020; 30:948-959. [PMID: 32402589 DOI: 10.1016/j.numecd.2020.02.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 02/16/2020] [Accepted: 02/17/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIMS Fat mass and obesity-associated protein (FTO) variants are among genetic variants frequently associated with obesity. We analyzed the association between FTO rs1421085 polymorphism and obesity, dietary intake, cardiorespiratory fitness (CRF), physical activity, and socioeconomic status (SES) from the age of 9-25 years. METHODS AND RESULTS The sample included both birth cohorts (originally n = 1176) of the Estonian Children Personality Behaviour and Health Study. The association between FTO rs1421085 and obesity, dietary intake, CRF, physical activity, and SES from the age of 15-25 years was assessed using linear mixed-effects regression models. Associations at ages 9 (younger cohort only), 15, 18, and 25 years were assessed by one-way ANOVA. Male C-allele carriers had significantly (p < 0.05) higher body mass index (BMI), sum of 5 skinfolds, body fat percentage, and hip circumference from the age of 15-25 years. Findings were similar at the age of 9 years. In female subjects, waist-to-hip ratio was significantly greater in CC homozygotes. Interestingly, female CC homozygotes had a greater decrease in the rate of change in daily energy intake and lipid intake per year and higher physical activity score at every fixed time point. Moreover, in females, an effect of FTO × SES interaction on measures of obesity was observed. CONCLUSION The FTO rs1421085 polymorphism was associated with obesity and abdominal obesity from childhood to young adulthood in males, and with abdominal obesity from adolescence to young adulthood in females. This association is rather related to differences in adipocyte energy metabolism than lifestyle.
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Affiliation(s)
- Urmeli Katus
- Department of Family Medicine and Public Health, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Inga Villa
- Department of Family Medicine and Public Health, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Inge Ringmets
- Department of Family Medicine and Public Health, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Mariliis Vaht
- Division of Neuropsychopharmacology, Department of Psychology, University of Tartu, Tartu, Estonia
| | - Evelin Mäestu
- Institute of Sport Sciences and Physiotherapy, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Jarek Mäestu
- Institute of Sport Sciences and Physiotherapy, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Toomas Veidebaum
- Department of Chronic Diseases, National Institute for Health Development, Tallinn, Estonia
| | - Jaanus Harro
- Division of Neuropsychopharmacology, Department of Psychology, University of Tartu, Tartu, Estonia.
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Bhatt SP, Misra A, Pandey RM. rs7903146 (C/T) polymorphism of Transcription factor 7 like 2 (TCF7L-2) gene is independently associated with non-alcoholic fatty liver disease in Asian Indians. Diabetes Metab Syndr 2020; 14:175-180. [PMID: 32142998 DOI: 10.1016/j.dsx.2020.02.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 02/18/2020] [Accepted: 02/18/2020] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND AIMS Transcription factor 7 like 2 (TCF7L-2) polymorphism has been associated with adipocyte metabolism and insulin resistance. Genetic investigations of non-alcoholic fatty liver disease (NAFLD) with obesity, type 2 diabetes mellitus (T2DM) and atherosclerosis are unknown. This study was designed to investigate the association of rs7903146 (C/T) polymorphism of TCF7L-2 gene with non-alcoholic fatty liver disease (NAFLD) in Asian Indians. METHODS In this case-control study 162 non-diabetic subjects with NAFLD and 173 body mass index (BMI)-matched controls without NAFLD were recruited. Abdominal ultrasound, clinical and biochemical investigations, fasting insulin levels and value of homeostasis model assessment of insulin resistance (HOMA-IR) was measured. Single nucleotide polymorphism rs7903146 (C/T) was genotyped by polymerase chain reaction-restriction fragment length polymorphisms. RESULTS The distribution of rs7903146 (C/T) alleles, the dominant model (CT + TT) and higher frequency (31%) of C/T genotype were significantly associated with NAFLD. C/T genotype of TCF7L2 gene was associated with significantly higher levels of BMI (p = 0.02), abdominal obesity (p < 0.05), fasting blood glucose (p = 0.05), hepatic transaminases (p < 0.05) and markers of insulin resistance (p < 0.05) in subjects with NAFLD. Using a multivariate analysis after adjusting for age and sex, TCF7L2 polymorphism was independently associated with presence of NAFLD [(OR: 3.234 (95% CI: 1.219-4.160, p = 0.002)]. CONCLUSION TCF7L2 (C/T) gene was Independently associated with NAFLD in Asian Indians.
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Affiliation(s)
- Surya Prakash Bhatt
- Diabetes Foundation (India), Safdarjung Development Area, New Delhi, 110016, India; National Diabetes Obesity and Cholesterol Foundation (N-DOC), Safdarjung Development Area, New Delhi, 110016, India; Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India; Fortis C-DOC Center of Excellence for Diabetes, Metabolic Diseases, and Endocrinology, B-16, Chirag Enclave, New Delhi, India
| | - Anoop Misra
- Diabetes Foundation (India), Safdarjung Development Area, New Delhi, 110016, India; National Diabetes Obesity and Cholesterol Foundation (N-DOC), Safdarjung Development Area, New Delhi, 110016, India; Fortis C-DOC Center of Excellence for Diabetes, Metabolic Diseases, and Endocrinology, B-16, Chirag Enclave, New Delhi, India.
| | - Ravindra Mohan Pandey
- Biostatics, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
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Morell-Azanza L, Ojeda-Rodríguez A, Azcona-SanJulián MC, Zalba G, Marti A. Associations of telomere length with anthropometric and glucose changes after a lifestyle intervention in abdominal obese children. Nutr Metab Cardiovasc Dis 2020; 30:694-700. [PMID: 32007334 DOI: 10.1016/j.numecd.2019.12.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 11/28/2019] [Accepted: 12/02/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND AND AIMS In lifestyle intervention studies, we demonstrated that changes in telomere length (TL) were associated with changes in anthropometric indices. Therefore, our new hypothesis is that TL could be a predictor of changes in anthropometric or metabolic measures in children with abdominal obesity. The aim of the study was to evaluate the association between anthropometric and biochemical measurements with TL before and after an 8-week lifestyle intervention in children with abdominal obesity (7-16 years old). METHODS AND RESULTS We assessed anthropometric and biochemical outcomes at baseline and after 8-week lifestyle intervention in 106 children with abdominal obesity (11.30 ± 2.49 years old, 63% girls). TL was measured by monochrome multiplex real-time quantitative PCR. After the lifestyle intervention, anthropometric parameters and glucose metabolism indicators significantly improved in the participants. TL did not change after the intervention in participants. Significant negative correlations between baseline TL and anthropometric measures (BMI, body weight and waist circumference) were observed. Furthermore, baseline TL was a predictor for changes in blood glucose levels after the lifestyle intervention. CONCLUSIONS An inverse correlation between TL and obesity traits was observed in children with abdominal obesity. Interestingly, we found that baseline TL could predict changes in blood glucose levels. CLINICAL TRIAL NCT03147261. Registered 10 May 2017.
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Affiliation(s)
- Lydia Morell-Azanza
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain; IdiSNA (Navarra Institute for Health Research), Pamplona, Spain
| | - Ana Ojeda-Rodríguez
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain; IdiSNA (Navarra Institute for Health Research), Pamplona, Spain
| | - Ma Cristina Azcona-SanJulián
- IdiSNA (Navarra Institute for Health Research), Pamplona, Spain; Paediatric Endocrinology Unit, Department of Pediatrics, Clínica Universidad de Navarra, Pamplona, Spain
| | - Guillermo Zalba
- IdiSNA (Navarra Institute for Health Research), Pamplona, Spain; Department of Biochemistry and Genetics, University of Navarra, Pamplona, Spain
| | - Amelia Marti
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain; IdiSNA (Navarra Institute for Health Research), Pamplona, Spain; Center of Biomedical Research in Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
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Liu L, Yang XL, Zhang H, Zhang ZJ, Wei XT, Feng GJ, Liu J, Peng HP, Hai R, Shen H, Tian Q, Deng HW, Pei YF, Zhang L. Two novel pleiotropic loci associated with osteoporosis and abdominal obesity. Hum Genet 2020; 139:1023-1035. [PMID: 32239398 DOI: 10.1007/s00439-020-02155-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Accepted: 03/24/2020] [Indexed: 12/11/2022]
Abstract
Aiming to uncover a shared genetic basis of abdominal obesity and osteoporosis, we performed a bivariate GWAS meta-analysis of femoral neck BMD (FNK-BMD) and trunk fat mass adjusted by trunk lean mass (TFMadj) in 11,496 subjects from 6 samples, followed by in silico replication in the large-scale UK Biobank (UKB) cohort. A series of functional investigations were conducted on the identified variants. Bivariate GWAS meta-analysis identified two novel pleiotropic loci 12q15 (lead SNP rs73134637, p = 3.45 × 10-7) and 10p14 (lead SNP rs2892347, p = 2.63 × 10-7) that were suggestively associated and that were replicated in the analyses of related traits in the UKB sample (osteoporosis p = 0.06 and 0.02, BMI p = 0.03 and 4.61 × 10-3, N up to 499,520). Cis-eQTL analysis demonstrated that allele C at rs73134637 was positively associated with IFNG expression in whole blood (N = 369, p = 0.04), and allele A at rs11254759 (10p14, p = 9.49 × 10-7) was negatively associated with PRKCQ expression in visceral adipose tissue (N = 313, p = 0.04) and in lymphocytes (N = 117, p = 0.03). As a proof-of-principle experiment, the function of rs11254759, which is 235 kb 5'-upstream from PRKCQ gene, was investigated by the dual-luciferase reporter assay, which clearly showed that the haplotype carrying rs11254759 regulated PRKCQ expression by upregulating PRKCQ promoter activity (p = 4.60 × 10-7) in an allelic specific manner. Mouse model analysis showed that heterozygous PRKCQ deficient mice presented decreased fat mass compared to wild-type control mice (p = 3.30 × 10-3). Mendelian randomization analysis demonstrated that both FNK-BMD and TFMadj were causally associated with fracture risk (p = 1.26 × 10-23 and 1.18 × 10-11). Our findings may provide useful insights into the genetic association between osteoporosis and abdominal obesity.
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Affiliation(s)
- Lu Liu
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College, Soochow University, 199 Ren-ai Rd, Suzhou, 215123, Jiangsu, People's Republic of China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China
- Kunshan Hospital of Traditional Chinese Medicine, Suzhou, Jiangsu, People's Republic of China
| | - Xiao-Lin Yang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College, Soochow University, 199 Ren-ai Rd, Suzhou, 215123, Jiangsu, People's Republic of China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China
| | - Hong Zhang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College, Soochow University, 199 Ren-ai Rd, Suzhou, 215123, Jiangsu, People's Republic of China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China
| | - Zi-Jia Zhang
- People's Hospital of Inner Mongolia Autonomous Region, Hohhot, Inner Mongolia Autonomous Region, People's Republic of China
| | - Xin-Tong Wei
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College, Soochow University, 199 Ren-ai Rd., Suzhou, 215123, Jiangsu, People's Republic of China
| | - Gui-Juan Feng
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College, Soochow University, 199 Ren-ai Rd., Suzhou, 215123, Jiangsu, People's Republic of China
| | - Ju Liu
- Kunshan Hospital of Traditional Chinese Medicine, Suzhou, Jiangsu, People's Republic of China
| | - Hui-Ping Peng
- Kunshan Hospital of Traditional Chinese Medicine, Suzhou, Jiangsu, People's Republic of China
| | - Rong Hai
- Health Commission of Inner Mongolia Autonomous Region, Hohhot, Inner Mongolia Autonomous Region, People's Republic of China
| | - Hui Shen
- Tulane Center for Genomics and Bioinformatics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St., Suite 2001, New Orleans, LA, 70112, USA
| | - Qing Tian
- Tulane Center for Genomics and Bioinformatics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St., Suite 2001, New Orleans, LA, 70112, USA
| | - Hong-Wen Deng
- Tulane Center for Genomics and Bioinformatics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St., Suite 2001, New Orleans, LA, 70112, USA.
| | - Yu-Fang Pei
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College, Soochow University, 199 Ren-ai Rd., Suzhou, 215123, Jiangsu, People's Republic of China.
| | - Lei Zhang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College, Soochow University, 199 Ren-ai Rd, Suzhou, 215123, Jiangsu, People's Republic of China.
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
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Ragino YI, Stakhneva EM, Polonskaya YV, Kashtanova EV. The Role of Secretory Activity Molecules of Visceral Adipocytes in Abdominal Obesity in the Development of Cardiovascular Disease: A Review. Biomolecules 2020; 10:biom10030374. [PMID: 32121175 PMCID: PMC7175189 DOI: 10.3390/biom10030374] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 02/25/2020] [Accepted: 02/26/2020] [Indexed: 12/11/2022] Open
Abstract
Adipose tissue is considered one of the endocrine organs in the body because of its ability to synthesize and release a large number of hormones, cytokines, and growth and vasoactive factors that influence a variety of physiological and pathophysiological processes, such as vascular tone, inflammation, vascular smooth muscle cell migration, endothelial function, and vascular redox state. Moreover, genetic factors substantially contribute to the risk of obesity. Research into the biochemical effects of molecules secreted by visceral adipocytes as well as their molecular genetic characteristics is actively conducted around the world mostly in relation to pathologies of the cardiovascular system, metabolic syndrome, and diabetes mellitus. Adipokines could be developed into biomarkers for diagnosis, prognosis, and therapeutic targets in different diseases. This review describes the relevance of secretory activity molecules of visceral adipocytes in cardiovascular disease associated abdominal obesity.
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Affiliation(s)
- Anne E Sumner
- Section on Ethnicity and Health, Diabetes, Endocrinology and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.
- National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland, USA.
| | - Mohammad Hadi Bagheri
- Clinical Image Processing Service, Department of Radiology and Imaging Services, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
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Liu L, Pei YF, Liu TL, Hu WZ, Yang XL, Li SC, Hai R, Ran S, Zhao LJ, Shen H, Tian Q, Xiao HM, Zhang K, Deng HW, Zhang L. Identification of a 1p21 independent functional variant for abdominal obesity. Int J Obes (Lond) 2019; 43:2480-2490. [PMID: 30944420 PMCID: PMC6776704 DOI: 10.1038/s41366-019-0350-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 12/08/2018] [Accepted: 01/25/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Aiming to uncover the genetic basis of abdominal obesity, we performed a genome-wide association study (GWAS) meta-analysis of trunk fat mass adjusted by trunk lean mass (TFMadj) and followed by a series of functional investigations. SUBJECTS A total of 11,569 subjects from six samples were included into the GWAS meta-analysis. METHODS Meta-analysis was performed by a weighted fixed-effects model. In silico replication analysis was performed in the UK-Biobank (UKB) sample (N = 331,093) and in the GIANT study (N up to 110,204). Cis-expression QTL (cis-eQTL) analysis, dual-luciferase reporter assay and electrophoresis mobility shift assay (EMSA) were conducted to examine the functional relevance of the identified SNPs. At last, differential gene expression analysis (DGEA) was performed. RESULTS We identified an independent SNP rs12409479 at 1p21 (MAF = 0.07, p = 7.26 × 10-10), whose association was replicated by the analysis of TFM in the UKB sample (one-sided p = 3.39 × 10-3), and was cross-validated by the analyses of BMI (one-sided p = 0.03) and WHRadj (one-sided p = 0.04) in the GIANT study. Cis-eQTL analysis demonstrated that allele A at rs12409479 was positively associated with PTBP2 expression level in subcutaneous adipose tissue (N = 385, p = 4.15 × 10-3). Dual-luciferase reporter assay showed that the region repressed PTBP2 gene expression by downregulating PTBP2 promoter activity (p < 0.001), and allele A at rs12409479 induced higher luciferase activity than allele G did (p = 4.15 × 10-3). EMSA experiment implied that allele A was more capable of binding to unknown transcription factors than allele G. Lastly, DGEA showed that the level of PTBP2 expression was higher in individuals with obesity than in individuals without obesity (N = 20 and 11, p = 0.04 and 9.22 × 10-3), suggesting a regulatory role in obesity development. CONCLUSIONS Taken together, we hypothesize a regulating path from rs12409479 to trunk fat mass development through its allelic specific regulation of PTBP2 gene expression, thus providing some novel insight into the genetic basis of abdominal obesity.
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Affiliation(s)
- Lu Liu
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Yu-Fang Pei
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Tao-Le Liu
- Center for Circadian Clock, School of Biology & Basic Medical Sciences, Medical College of Soochow University, Suzhou, China
| | - Wen-Zhu Hu
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Xiao-Lin Yang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Shan-Cheng Li
- Department of Orthopedics, the Second Affiliated Hospital, Soochow University, Suzhou, China
| | - Rong Hai
- Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China
| | - Shu Ran
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Lan Juan Zhao
- Tulane Center for Genomics and Bioinformatics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Hui Shen
- Tulane Center for Genomics and Bioinformatics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Qing Tian
- Tulane Center for Genomics and Bioinformatics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Hong-Mei Xiao
- School of Basic Medical Sciences, Central South University, 410000, Changsha, China
| | - Kun Zhang
- Department of Computer Science, Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA, 70125, USA
| | - Hong-Wen Deng
- Tulane Center for Genomics and Bioinformatics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
- School of Basic Medical Sciences, Central South University, 410000, Changsha, China.
| | - Lei Zhang
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, China.
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China.
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Arpón A, Milagro FI, Ramos-Lopez O, Mansego ML, Riezu-Boj JI, Martínez JA. Methylome-Wide Association Study in Peripheral White Blood Cells Focusing on Central Obesity and Inflammation. Genes (Basel) 2019; 10:genes10060444. [PMID: 31212707 PMCID: PMC6627499 DOI: 10.3390/genes10060444] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 06/03/2019] [Accepted: 06/07/2019] [Indexed: 12/13/2022] Open
Abstract
Epigenetic signatures such as DNA methylation may be associated with specific obesity traits in different tissues. The onset and development of some obesity-related complications are often linked to visceral fat accumulation. The aim of this study was to explore DNA methylation levels in peripheral white blood cells to identify epigenetic methylation marks associated with waist circumference (WC). DNA methylation levels were assessed using Infinium Human Methylation 450K and MethylationEPIC beadchip (Illumina) to search for putative associations with WC values of 473 participants from the Methyl Epigenome Network Association (MENA) project. Statistical analysis and Ingenuity Pathway Analysis (IPA) were employed for assessing the relationship between methylation and WC. A total of 669 CpGs were statistically associated with WC (FDR < 0.05, slope ≥ |0.1|). From these CpGs, 375 CpGs evidenced a differential methylation pattern between females with WC ≤ 88 and > 88 cm, and 95 CpGs between males with WC ≤ 102 and > 102 cm. These differentially methylated CpGs are located in genes related to inflammation and obesity according to IPA. Receiver operating characteristic (ROC) curves of the top four significant differentially methylated CpGs separated by sex discriminated individuals with presence or absence of abdominal fat. ROC curves of all the CpGs from females and one CpG from males were validated in an independent sample (n = 161). These methylation results add further insights about the relationships between obesity, adiposity-associated comorbidities, and DNA methylation where inflammation processes may be involved.
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Affiliation(s)
- Ana Arpón
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Irunlarrea 1,31008 Pamplona, Spain.
- Centre for Nutrition Research, University of Navarra, Irunlarrea 1, 31008, Pamplona, Spain.
| | - Fermín I Milagro
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Irunlarrea 1,31008 Pamplona, Spain.
- Centre for Nutrition Research, University of Navarra, Irunlarrea 1, 31008, Pamplona, Spain.
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Navarra Institute for Health Research (IdiSNa), 31008, Pamplona, Spain.
| | - Omar Ramos-Lopez
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Irunlarrea 1,31008 Pamplona, Spain.
- Centre for Nutrition Research, University of Navarra, Irunlarrea 1, 31008, Pamplona, Spain.
| | - Maria L Mansego
- Department of Bioinformatics, Making Genetics S.L., 31002, Pamplona, Spain.
| | - José-Ignacio Riezu-Boj
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Irunlarrea 1,31008 Pamplona, Spain.
- Centre for Nutrition Research, University of Navarra, Irunlarrea 1, 31008, Pamplona, Spain.
- Navarra Institute for Health Research (IdiSNa), 31008, Pamplona, Spain.
| | - J Alfredo Martínez
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Irunlarrea 1,31008 Pamplona, Spain.
- Centre for Nutrition Research, University of Navarra, Irunlarrea 1, 31008, Pamplona, Spain.
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Navarra Institute for Health Research (IdiSNa), 31008, Pamplona, Spain.
- Precision Nutrition and Cardiometabolic Health Program, Madrid Institute for Advanced Studies (IMDEA), IMDEA Food, 28049, Madrid, Spain.
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Shu X, Wu L, Khankari NK, Shu XO, Wang TJ, Michailidou K, Bolla MK, Wang Q, Dennis J, Milne RL, Schmidt MK, Pharoah PDP, Andrulis IL, Hunter DJ, Simard J, Easton DF, Zheng W. Associations of obesity and circulating insulin and glucose with breast cancer risk: a Mendelian randomization analysis. Int J Epidemiol 2019; 48:795-806. [PMID: 30277539 PMCID: PMC6734940 DOI: 10.1093/ije/dyy201] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/06/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND In addition to the established association between general obesity and breast cancer risk, central obesity and circulating fasting insulin and glucose have been linked to the development of this common malignancy. Findings from previous studies, however, have been inconsistent, and the nature of the associations is unclear. METHODS We conducted Mendelian randomization analyses to evaluate the association of breast cancer risk, using genetic instruments, with fasting insulin, fasting glucose, 2-h glucose, body mass index (BMI) and BMI-adjusted waist-hip-ratio (WHRadj BMI). We first confirmed the association of these instruments with type 2 diabetes risk in a large diabetes genome-wide association study consortium. We then investigated their associations with breast cancer risk using individual-level data obtained from 98 842 cases and 83 464 controls of European descent in the Breast Cancer Association Consortium. RESULTS All sets of instruments were associated with risk of type 2 diabetes. Associations with breast cancer risk were found for genetically predicted fasting insulin [odds ratio (OR) = 1.71 per standard deviation (SD) increase, 95% confidence interval (CI) = 1.26-2.31, p = 5.09 × 10-4], 2-h glucose (OR = 1.80 per SD increase, 95% CI = 1.3 0-2.49, p = 4.02 × 10-4), BMI (OR = 0.70 per 5-unit increase, 95% CI = 0.65-0.76, p = 5.05 × 10-19) and WHRadj BMI (OR = 0.85, 95% CI = 0.79-0.91, p = 9.22 × 10-6). Stratified analyses showed that genetically predicted fasting insulin was more closely related to risk of estrogen-receptor [ER]-positive cancer, whereas the associations with instruments of 2-h glucose, BMI and WHRadj BMI were consistent regardless of age, menopausal status, estrogen receptor status and family history of breast cancer. CONCLUSIONS We confirmed the previously reported inverse association of genetically predicted BMI with breast cancer risk, and showed a positive association of genetically predicted fasting insulin and 2-h glucose and an inverse association of WHRadj BMI with breast cancer risk. Our study suggests that genetically determined obesity and glucose/insulin-related traits have an important role in the aetiology of breast cancer.
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Affiliation(s)
- Xiang Shu
- Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Lang Wu
- Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Nikhil K Khankari
- Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Thomas J Wang
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kyriaki Michailidou
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Department of Electron Microscopy/Molecular Pathology, Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Manjeet K Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Roger L Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, QC, Canada
| | - Douglas F Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Wei Zheng
- Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
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Jiang B, Chen Y, Zhou K, Zheng Y, Chen Y, Li Q, Zhu C, Xia F, Gu T, Guo Y, Lu Y. Comparison of Abdominal Obesity and Fatty Liver and Their Association with Insulin Resistance and Metabolic Syndrome in Chinese Adults. Obesity (Silver Spring) 2019; 27:707-715. [PMID: 30942551 DOI: 10.1002/oby.22432] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 01/12/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The purpose of this study was to explore the similarities and differences between nonalcoholic fatty liver (FL) disease (NAFLD) and abdominal obesity in their association with insulin resistance and metabolic syndrome (MetS). METHODS The Survey on Prevalence in East China for Metabolic Diseases and Risk Factors (SPECT-China) is a population-based survey of Chinese adults. A total of 9,685 participants (median age, 53 years; interquartile range, 44-63) were grouped into four categories by waist circumference (WC) and NAFLD status: NWC/FL(-), NWC/FL(+), HWC/FL(-), and HWC/FL(+) [FL(-), without NAFLD; FL(+), with NAFLD; HWC, higher WC; NWC, normal WC]. Logistic regression models were used to obtain the odds ratios as estimates of the associations between different categories and MetS. RESULTS Male participants with HWC/FL(-) had higher homeostatic model assessment for insulin resistance scores than subjects with NWC/FL(+), but female subjects showed the opposite results. Compared with NWC/FL(+), HWC was associated with an increased likelihood of blood pressure disorder and a decreased likelihood of triglyceride and blood glucose disorders in men, but in women, HWC was associated with only a lower likelihood of triglyceride disorder. Despite these differences, patients with NWC/FL(+) and HWC/FL(-) had almost equally serious degrees of metabolic disorders (MetS z score). CONCLUSIONS There are significant differences between sexes regarding the association between NAFLD and abdominal obesity status and MetS components.
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Affiliation(s)
- Boren Jiang
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yingchao Chen
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Kun Zhou
- Department of Gastroenterology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yanjun Zheng
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yi Chen
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qin Li
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chunfang Zhu
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Fangzhen Xia
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ting Gu
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuyu Guo
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yingli Lu
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Koochakpour G, Esfandiar Z, Hosseini-Esfahani F, Mirmiran P, Daneshpour MS, Sedaghati-Khayat B, Azizi F. Evaluating the interaction of common FTO genetic variants, added sugar, and trans-fatty acid intakes in altering obesity phenotypes. Nutr Metab Cardiovasc Dis 2019; 29:474-480. [PMID: 30954417 DOI: 10.1016/j.numecd.2019.01.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2018] [Revised: 11/21/2018] [Accepted: 01/14/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND AND AIMS The results of studies on the effect of trans-fatty acids (TFAs) and added sugars on obesity are not consistent. This study aimed to investigate whether the association of changes in general and central obesity with added sugar and TFA intakes is modified by common fat mass and obesity-associated gene (FTO) polymorphisms, in isolation or in a combined-form genetic risk score (GRS). METHODS AND RESULTS Subjects of this cohort study were selected from among adult participants of the Tehran Lipid and Glucose Study (n = 4292, 43.2% male). Dietary data were collected using a valid and reliable food frequency questionnaire. The genotypes of selected polymorphisms (rs1421085, rs1121980, and rs8050136) were determined. Genetic risk score (GRS) was calculated using the dominant weighted method. The mean age of participants was 42.6 ± 14 and 40.4 ± 13 years in men and women, respectively. FTO rs8050136 polymorphisms and TFAs have a significant interaction in changing body mass index (BMI) (P interaction = 0.01). There were no changes in waist circumference (WC) and BMI among FTO risk allele carriers, across quartiles of added sugar intake. GRS and TFA intakes significantly interacted in altering the BMI and WC; thus, a higher intake of TFAs was associated with higher changes of BMI and WC in subjects with high GRS (P trend<0.05) compared to individuals with low GRS. CONCLUSION Our findings suggest that TFA intake can increase the genetic susceptibility of FTO SNPs to BMI or WC change.
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Affiliation(s)
- G Koochakpour
- Maragheh University of Medical Sciences, Maragheh, Iran
| | - Z Esfandiar
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - F Hosseini-Esfahani
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - P Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - M S Daneshpour
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - B Sedaghati-Khayat
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - F Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Keeley T, Kirov A, Koh WY, Demambro V, Bergquist I, Cotter J, Caradonna P, Siviski ME, Best B, Henderson T, Rosen CJ, Liaw L, Prudovsky I, Small DJ. Resistance to visceral obesity is associated with increased locomotion in mice expressing an endothelial cell-specific fibroblast growth factor 1 transgene. Physiol Rep 2019; 7:e14034. [PMID: 30972920 PMCID: PMC6458108 DOI: 10.14814/phy2.14034] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 02/19/2019] [Accepted: 02/20/2019] [Indexed: 12/13/2022] Open
Abstract
Overdevelopment of visceral adipose is positively correlated with the etiology of obesity-associated pathologies including cardiovascular disease and insulin resistance. However, identification of genetic, molecular, and physiological factors regulating adipose development and function in response to nutritional stress is incomplete. Fibroblast Growth Factor 1 (FGF1) is a cytokine expressed and released by both adipocytes and endothelial cells under hypoxia, thermal, and oxidative stress. Expression of Fibroblast Growth Factor 1 (FGF1) in adipose is required for normal depot development and remodeling. Loss of FGF1 leads to deleterious changes in adipose morphology, metabolism, and insulin resistance. Conversely, diabetic and obese mice injected with recombinant FGF1 display improvements in insulin sensitivity and a reduction in adiposity. We report in this novel, in vivo study that transgenic mice expressing an endothelial-specific FGF1 transgene (FGF1-Tek) are resistant to high-fat diet-induced abdominal adipose accretion and are more glucose-tolerant than wild-type control animals. Metabolic chamber analyses indicate that suppression of the development of visceral adiposity and insulin resistance was not associated with alterations in appetite or resting metabolic rate in the FGF1-Tek strain. Instead, FGF1-Tek mice display increased locomotor activity that likely promotes the utilization of dietary fatty acids before they can accumulate in adipose and liver. This study provides insight into the impact that genetic differences dictating the production of FGF1 has on the risk for developing obesity-related metabolic disease in response to nutritional stress.
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Affiliation(s)
- Tyler Keeley
- Department of Chemistry and PhysicsCollege of Arts and SciencesUniversity of New EnglandBiddefordMaine
| | - Aleksandr Kirov
- Center for Molecular MedicineMaine Medical Center Research InstituteScarboroughMaine
| | - Woon Yuen Koh
- Department of Mathematical SciencesCollege of Arts and SciencesUniversity of New EnglandBiddefordMaine
| | - Victoria Demambro
- Center for Molecular MedicineMaine Medical Center Research InstituteScarboroughMaine
| | - Ivy Bergquist
- Center for Excellence in NeuroscienceCollege of MedicineUniversity of New EnglandBiddefordMaine
| | - Jessica Cotter
- Department of Chemistry and PhysicsCollege of Arts and SciencesUniversity of New EnglandBiddefordMaine
| | - Peter Caradonna
- Department of Chemistry and PhysicsCollege of Arts and SciencesUniversity of New EnglandBiddefordMaine
| | - Matthew E. Siviski
- Center for Molecular MedicineMaine Medical Center Research InstituteScarboroughMaine
| | - Bradley Best
- Department of Chemistry and PhysicsCollege of Arts and SciencesUniversity of New EnglandBiddefordMaine
| | - Terry Henderson
- Center for Molecular MedicineMaine Medical Center Research InstituteScarboroughMaine
| | - Clifford J. Rosen
- Center for Molecular MedicineMaine Medical Center Research InstituteScarboroughMaine
| | - Lucy Liaw
- Center for Molecular MedicineMaine Medical Center Research InstituteScarboroughMaine
| | - Igor Prudovsky
- Center for Molecular MedicineMaine Medical Center Research InstituteScarboroughMaine
| | - Deena J. Small
- Department of Chemistry and PhysicsCollege of Arts and SciencesUniversity of New EnglandBiddefordMaine
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Xia MF, Lin HD, Chen LY, Wu L, Ma H, Li Q, Aleteng Q, Hu Y, He WY, Gao J, Bian H, Li XY, Gao X. The PNPLA3 rs738409 C>G variant interacts with changes in body weight over time to aggravate liver steatosis, but reduces the risk of incident type 2 diabetes. Diabetologia 2019; 62:644-654. [PMID: 30673802 DOI: 10.1007/s00125-018-4805-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 12/04/2018] [Indexed: 12/13/2022]
Abstract
AIMS/HYPOTHESIS The rs738409 C>G variant of the patatin-like phospholipase domain containing 3 gene (PNPLA3) increases the risk of non-alcoholic fatty liver disease (NAFLD) with no predisposition for insulin resistance. In this study, we aimed to investigate the influence of PNPLA3 polymorphisms on liver fat content (LFC) and glucose metabolic variables, and the associations between these, during the natural course of body weight changes in a Chinese adult cohort. METHODS The LFC, measured using a quantitative ultrasound method, was prospectively monitored in 2189 middle-aged and elderly adults from the Shanghai Changfeng Study, together with changes in body weight and metabolic variables. General linear models were used to detect interactive effects between the PNPLA3 rs738409 genotype and 4 year changes in body weight on liver steatosis and glucose metabolism. RESULTS The PNPLA3 homozygous GG genotype dissociated the changes in the LFC and OGTT 2 h post-load blood glucose (PBG) in relation to 4 year changes in body weight. PNPLA3 GG genotype carriers showed greater increases in the LFC and serum alanine aminotransferase (ALT) but lower PBG elevation and incident diabetes than PNPLA3 wild-type (CC) genotype carriers exhibiting the same degree of body weight increase. The interactions between the PNPLA3 genotype and changes in body weight on the LFC (false discovery rate [FDR]-adjusted pinteraction = 0.044) and ALT (FDR-adjusted pinteraction = 0.044) were significant. Subgroup analyses showed that the effect of the PNPLA3 GG genotype on changes in the LFC and PBG was only observed in metabolically unhealthy participants with insulin resistance or abdominal obesity. CONCLUSIONS/INTERPRETATION The PNPLA3 GG genotype interacted with changes in body weight to aggravate liver steatosis but reduced the risk of incident type 2 diabetes in metabolically unhealthy participants.
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Affiliation(s)
- Ming-Feng Xia
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
| | - Huan-Dong Lin
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
| | - Ling-Yan Chen
- Department of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Li Wu
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
| | - Hui Ma
- Department of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qian Li
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
| | - Qiqige Aleteng
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
| | - Yu Hu
- Department of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wan-Yuan He
- Department of Ultrasonography, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Gao
- Center of Clinical Epidemiology and EBM of Fudan University, Shanghai, China
- Department of Nutrition, Zhongshan Hospital of Fudan University, Shanghai, China
| | - Hua Bian
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
| | - Xiao-Ying Li
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
| | - Xin Gao
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
- Fudan Institute for Metabolic Diseases, Shanghai, China.
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Abstract
The evolution of human from ancient times to modern era has witnessed several environmental and social changes which contributed to genetic and epigenetic makeup of human beings and in turn is responsible for its present phenotype. In the recent past, owing to socioeconomic developmental pressure, a large epidemiologic shift towards non-communicable disease pattern has been noticed in many developing countries including India which resulted into incidence of diabetes and cardiovascular diseases in epidemic proportion. These two pathologies form a subset associated with metabolic derangement, popularly termed as metabolic syndrome. Earlier its status and the pathophysiological rationale were largely obscure and hence it was given a rather disguised name - Syndrome X, as an icon of unknown. While initially contemplated to be an endocrine problem associated with insulin resistance, the scientific insight about this pathology has undergone a gradual evolution. Therefore the pathogenic and consequent diagnostic modality consistently changed. Quite fascinatingly its phenomenal conversion from an endocrine etiopathology to an inflammatory pathogenesis has imprinted a paradigm shift. From laboratory medicine perspective, these evidences have immense impact to steer the research towards development of the apposite diagnostic modality for this very significant and nationally relevant health problem.
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Affiliation(s)
- Kalyan Goswami
- Department of Biochemistry, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha, Maharashtra, India.
| | - Mahendra Gandhe
- Department of Biochemistry Government Medical College, Chhindwara, Madhya Pradesh, India
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Lim J, Lee H, Ahn J, Kim J, Jang J, Park Y, Jeong B, Yang H, Shin SS, Yoon M. The polyherbal drug GGEx18 from Laminaria japonica, Rheum palmatum, and Ephedra sinica inhibits hepatic steatosis and fibroinflammtion in high-fat diet-induced obese mice. J Ethnopharmacol 2018; 225:31-41. [PMID: 29958960 DOI: 10.1016/j.jep.2018.06.034] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 06/12/2018] [Accepted: 06/24/2018] [Indexed: 06/08/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE The herbal composition Gyeongshingangjeehwan 18 (GGEx18), composed of Rheum palmatum L. (Polygonaceae), Laminaria japonica Aresch (Laminariaceae), and Ephedra sinica Stapf (Ephedraceae), is used as an antiobesity drug in Korean clinics. The constituents of GGEx18 have traditionally been reported to inhibit obesity and related metabolic diseases such as insulin resistance and dyslipidemia. OBJECTIVE This study investigated the effects of GGEx18 on nonalcoholic fatty liver disease (NAFLD) in mice fed a high-fat diet (HFD) and the underlying cellular and molecular mechanisms involved. METHODS C57BL/6 J mice were fed either a low-fat diet (LFD), an HFD, or an HFD supplemented with GGEx18 (125, 250, or 500 mg/kg of body weight/day). After 13 weeks, blood analyses, histology, immunohistochemistry, and real-time PCR were performed to assess NAFLD development in these mice. RESULTS Mice fed an HFD had increases in body weight, epididymal adipose tissue mass, adipocyte size, and adipose expression of inflammation-related genes compared with those fed an LFD. These increases were ameliorated in mice treated with 500 mg/kg/day GGEx18 without affecting food consumption profiles. GGEx18 not only decreased serum levels of triglycerides, free fatty acids, and alanine aminotransferase, but also decreased hepatic lipid accumulation, numbers of mast cells and α-smooth muscle actin-positive cells, and collagen levels induced by an HFD. Consistent with the histological data, the hepatic expression of lipogenesis-, inflammation-, and fibrosis-related genes was lower, while hepatic fatty acid β-oxidation-related gene expression was higher, in mice receiving GGEx18 compared to mice fed only the HFD. DISCUSSION AND CONCLUSION These results indicate that GGEx18 attenuates visceral obesity and NAFLD, in part by altering the expression of genes involved in hepatic steatosis and fibroinflammation in HFD-induced obese mice. These findings suggest that GGEx18 may be effective for preventing and treating NAFLD associated with visceral obesity.
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Affiliation(s)
- Jonghoon Lim
- Department of Biomedical Engineering, Mokwon University, Daejeon 35349, Republic of Korea
| | - Haerim Lee
- Department of Biomedical Engineering, Mokwon University, Daejeon 35349, Republic of Korea
| | - Jiwon Ahn
- Genome Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea
| | - Jeongjun Kim
- Department of Biomedical Engineering, Mokwon University, Daejeon 35349, Republic of Korea
| | - Joonseong Jang
- Department of Biomedical Engineering, Mokwon University, Daejeon 35349, Republic of Korea
| | - Yonghyun Park
- Department of Biomedical Engineering, Mokwon University, Daejeon 35349, Republic of Korea
| | - Birang Jeong
- Laboratory of Natural Products Chemistry, College of Pharmacy, Kangwon National University, Chuncheon 24341, Republic of Korea
| | - Heejung Yang
- Laboratory of Natural Products Chemistry, College of Pharmacy, Kangwon National University, Chuncheon 24341, Republic of Korea
| | - Soon Shik Shin
- Department of Formula Sciences, College of Oriental Medicine, Dongeui University, Busan 47340, Republic of Korea.
| | - Michung Yoon
- Department of Biomedical Engineering, Mokwon University, Daejeon 35349, Republic of Korea.
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