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Xie Z, Zhang T, Kim S, Lu J, Zhang W, Lin CH, Wu MR, Davis A, Channa R, Giancardo L, Chen H, Wang S, Chen R, Zhi D. iGWAS: Image-based genome-wide association of self-supervised deep phenotyping of retina fundus images. PLoS Genet 2024; 20:e1011273. [PMID: 38728357 PMCID: PMC11111076 DOI: 10.1371/journal.pgen.1011273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 05/22/2024] [Accepted: 04/25/2024] [Indexed: 05/12/2024] Open
Abstract
Existing imaging genetics studies have been mostly limited in scope by using imaging-derived phenotypes defined by human experts. Here, leveraging new breakthroughs in self-supervised deep representation learning, we propose a new approach, image-based genome-wide association study (iGWAS), for identifying genetic factors associated with phenotypes discovered from medical images using contrastive learning. Using retinal fundus photos, our model extracts a 128-dimensional vector representing features of the retina as phenotypes. After training the model on 40,000 images from the EyePACS dataset, we generated phenotypes from 130,329 images of 65,629 British White participants in the UK Biobank. We conducted GWAS on these phenotypes and identified 14 loci with genome-wide significance (p<5×10-8 and intersection of hits from left and right eyes). We also did GWAS on the retina color, the average color of the center region of the retinal fundus photos. The GWAS of retina colors identified 34 loci, 7 are overlapping with GWAS of raw image phenotype. Our results establish the feasibility of this new framework of genomic study based on self-supervised phenotyping of medical images.
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Affiliation(s)
- Ziqian Xie
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Tao Zhang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - Sangbae Kim
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - Jiaxiong Lu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - Wanheng Zhang
- School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Cheng-Hui Lin
- Department of Ophthalmology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Man-Ru Wu
- Department of Ophthalmology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Alexander Davis
- Department of Ophthalmology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Roomasa Channa
- Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, United States of America
| | - Luca Giancardo
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Han Chen
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
- School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Sui Wang
- Department of Ophthalmology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Rui Chen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - Degui Zhi
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
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Wang W, Zhuang Z, Zhao Y, Song Z, Huang N, Li Y, Dong X, Xiao W, Huang T. Associations of birth weight, plasma metabolome in adulthood and risk of type 2 diabetes. Diabetes Metab Res Rev 2024; 40:e3803. [PMID: 38581399 DOI: 10.1002/dmrr.3803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 10/28/2023] [Accepted: 03/18/2024] [Indexed: 04/08/2024]
Abstract
AIMS We aimed to examine the longitudinal associations of birth weight with plasma metabolites in adulthood, and further quantify the proportions of the links between birth weight and incident adult type 2 diabetes (T2D) that were mediated by plasma metabolites. MATERIALS AND METHODS A total of 62,033 participants with complete nuclear magnetic resonance metabolomics and birth weight data from the UK Biobank were included in this study. Linear regression was used to assess the associations between birth weight and metabolites. Cox regression was used to estimate hazard ratios for T2D associated with metabolites. We further performed mediation analyses to estimate the extent to which metabolites might mediate the association between birth weight and T2D risk. RESULTS Low birth weight was associated with the adverse metabolic responses across multiple metabolic pathways, including lipoprotein subclasses, amino acids, fatty acids (FA), and inflammation. Metabolites associated with higher birth weight tended to be associated with a lower risk of T2D (Pearson correlation coefficient: -0.85). A total of 62 metabolites showed statistically significant mediation effects in the protective association of higher birth weight and T2D risk, including large-sized very low-density lipoprotein particles and triglyceride concentrations as well as saturated, and monounsaturated FA and glycoprotein acetyls. CONCLUSIONS We identified a range of metabolites that reflect the adult metabolic response to birth weight, some of which might lie on the pathway between birth weight and adult T2D risk.
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Affiliation(s)
- Wenxiu Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zhenhuang Zhuang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yimin Zhao
- Department of Sports Medicine, Peking University Third Hospital, Beijing, China
| | - Zimin Song
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ninghao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yueying Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xue Dong
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wendi Xiao
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
- Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing, China
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Chen Y, Xue H, Ai S, Liu Y, Nie Y, Ai QYH, Zhang J, Liang YY. Trajectories of social isolation and loneliness and the risk of incident type 2 diabetes mellitus across genetic risk score. DIABETES & METABOLISM 2024; 50:101526. [PMID: 38458351 DOI: 10.1016/j.diabet.2024.101526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 01/30/2024] [Accepted: 02/15/2024] [Indexed: 03/10/2024]
Abstract
AIM This study aimed to investigate the association of social isolation, loneliness, and their trajectory with the risk of developing type 2 diabetes mellitus (T2DM) across genetic risk. METHODS We included 439,337 participants (mean age 56.3 ± 8.1 years) enrolled in the UK Biobank study who were followed up until May 31, 2021. Social isolation and loneliness were self-reported and were further categorized into never, transient, incident, and persistent patterns. RESULTS During a median follow-up of 12.7 years, 15,258 incident T2DM cases were documented. Social isolation (versus no social isolation: hazard ratio (HR) 95 % confidence interval (CI) 1.04 [1.00;1.09]) and loneliness (versus no loneliness: 1.26 [1.19;1.34]) were associated with an increased T2DM risk, independent of the genetic risk for T2DM. The interactions existed between social isolation and loneliness (Pinteraction < 0.05); the increased T2DM risk associated with social isolation was only significant among participants without loneliness. In the longitudinal analysis, only persistent social isolation (versus never social isolation: 1.22 [1.02;1.45]) was associated with an increased T2DM risk, whereas incident loneliness (versus never loneliness: 1.95 [1.40;2.71]) and persistent loneliness (2.00 [1.31;3.04]) were associated with higher T2DM risks. CONCLUSION Social isolation and loneliness, especially their persistent pattern, were independently associated with an increased incident T2DM risk, irrespective of an individual's genetic risk. Loneliness modified the association between social isolation and incident T2DM.
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Affiliation(s)
- Yilin Chen
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China; Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Huachen Xue
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Sizhi Ai
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China; Department of Cardiology, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Yaping Liu
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yu Nie
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Qi-Yong H Ai
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Jihui Zhang
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yannis Yan Liang
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, Guangdong, China; Institute of Psycho-neuroscience, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
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Li Y, Lai Y, Geng T, Xia PF, Chen JX, Tu ZZ, Yang K, Liao YF, Liu G, Pan A. Association of Ultraprocessed Food Consumption with Risk of Cardiovascular Disease Among Individuals with Type 2 Diabetes: Findings from the UK Biobank. Mol Nutr Food Res 2024; 68:e2300314. [PMID: 38639304 DOI: 10.1002/mnfr.202300314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 02/28/2024] [Indexed: 04/20/2024]
Abstract
SCOPE Among patients with diabetes, who have modified nutritional behavior and a higher risk of cardiovascular disease (CVD), the influence of ultraprocessed foods (UPFs) on CVD remains unknown. The study aims to evaluate the association between UPF intake and the risk of CVD among individuals with type 2 diabetes (T2D) and further examine the potential biological pathways linking the association. METHODS AND RESULTS This study includes 5405 participants with T2D who provided at least one 24-h dietary recall from the UK Biobank study. In the fully adjusted models, a 10% increase in the proportion of UPFs is associated with higher hazards of overall CVD (hazard ratio [HR]: 1.10; 95% confidence interval [CI]: 1.04, 1.15), coronary heart disease (HR: 1.10; 95% CI: 1.04, 1.16), heart failure (HR: 1.14; 95% CI: 1.05, 1.25), but not stroke (HR: 1.01; 95% CI: 0.90, 1.12). Cystatin C, high-density lipoprotein cholesterol (HDL-C), apolipoprotein A, C-reactive protein, and body mass index collectively explain 26.9% (12.8%, 48.5%) of the association between UPF intake and the risk of overall CVD. CONCLUSION Higher UPF intakes are associated with increased hazards of CVD among individuals with T2D, and the association is partly mediated through worsening biomarkers of renal function, lipid metabolism, inflammation, and body weight.
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Affiliation(s)
- Yue Li
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuwei Lai
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Geng
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Peng-Fei Xia
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun-Xiang Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhou-Zheng Tu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun Yang
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - Yun-Fei Liao
- Department of Endocrinology, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Helgesson S, Tarai S, Langner T, Ahlström H, Johansson L, Kullberg J, Lundström E. Spleen volume is independently associated with non-alcoholic fatty liver disease, liver volume and liver fibrosis. Heliyon 2024; 10:e28123. [PMID: 38665588 PMCID: PMC11043861 DOI: 10.1016/j.heliyon.2024.e28123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 03/12/2024] [Accepted: 03/12/2024] [Indexed: 04/28/2024] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) can lead to irreversible liver damage manifesting in systemic effects (e.g., elevated portal vein pressure and splenomegaly) with increased risk of deadly outcomes. However, the association of spleen volume with NAFLD and related type 2-diabetes (T2D) is not fully understood. The UK Biobank contains comprehensive health-data of 500,000 participants, including clinical data and MR images of >40,000 individuals. The present study estimated the spleen volume of 37,066 participants through automated deep learning-based image segmentation of neck-to-knee MR images. The aim was to investigate the associations of spleen volume with NAFLD, T2D and liver fibrosis, while adjusting for natural confounders. The recent redefinition and new designation of NAFLD to metabolic dysfunction-associated steatotic liver disease (MASLD), promoted by major organisations of studies on liver disease, was not employed as introduced after the conduct of this study. The results showed that spleen volume decreased with age, correlated positively with body size and was smaller in females compared to males. Larger spleens were observed in subjects with NAFLD and T2D compared to controls. Spleen volume was also positively and independently associated with liver fat fraction, liver volume and the fibrosis-4 score, with notable volumetric increases already at low liver fat fractions and volumes, but not independently associated with T2D. These results suggest a link between spleen volume and NAFLD already at an early stage of the disease, potentially due to initial rise in portal vein pressure.
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Affiliation(s)
- Samuel Helgesson
- Radiology, Department of Surgical Sciences, Uppsala University, Sweden
| | - Sambit Tarai
- Radiology, Department of Surgical Sciences, Uppsala University, Sweden
- Antaros Medical AB, BioVenture Hub, Sweden
| | | | - Håkan Ahlström
- Radiology, Department of Surgical Sciences, Uppsala University, Sweden
- Antaros Medical AB, BioVenture Hub, Sweden
| | | | - Joel Kullberg
- Radiology, Department of Surgical Sciences, Uppsala University, Sweden
- Antaros Medical AB, BioVenture Hub, Sweden
| | - Elin Lundström
- Radiology, Department of Surgical Sciences, Uppsala University, Sweden
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Ye ST, Shang XW, Huang Y, Zhu S, Zhu ZT, Zhang XL, Wang W, Tang SL, Ge ZY, Yang XH, He MG. Association of age at diagnosis of diabetes with subsequent risk of age-related ocular diseases and vision acuity. World J Diabetes 2024; 15:697-711. [PMID: 38680694 PMCID: PMC11045417 DOI: 10.4239/wjd.v15.i4.697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/19/2023] [Accepted: 02/27/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND The importance of age on the development of ocular conditions has been reported by numerous studies. Diabetes may have different associations with different stages of ocular conditions, and the duration of diabetes may affect the development of diabetic eye disease. While there is a dose-response relationship between the age at diagnosis of diabetes and the risk of cardiovascular disease and mortality, whether the age at diagnosis of diabetes is associated with incident ocular conditions remains to be explored. It is unclear which types of diabetes are more predictive of ocular conditions. AIM To examine associations between the age of diabetes diagnosis and the incidence of cataract, glaucoma, age-related macular degeneration (AMD), and vision acuity. METHODS Our analysis was using the UK Biobank. The cohort included 8709 diabetic participants and 17418 controls for ocular condition analysis, and 6689 diabetic participants and 13378 controls for vision analysis. Ocular diseases were identified using inpatient records until January 2021. Vision acuity was assessed using a chart. RESULTS During a median follow-up of 11.0 years, 3874, 665, and 616 new cases of cataract, glaucoma, and AMD, respectively, were identified. A stronger association between diabetes and incident ocular conditions was observed where diabetes was diagnosed at a younger age. Individuals with type 2 diabetes (T2D) diagnosed at < 45 years [HR (95%CI): 2.71 (1.49-4.93)], 45-49 years [2.57 (1.17-5.65)], 50-54 years [1.85 (1.13-3.04)], or 50-59 years of age [1.53 (1.00-2.34)] had a higher risk of AMD independent of glycated haemoglobin. T2D diagnosed < 45 years [HR (95%CI): 2.18 (1.71-2.79)], 45-49 years [1.54 (1.19-2.01)], 50-54 years [1.60 (1.31-1.96)], or 55-59 years of age [1.21 (1.02-1.43)] was associated with an increased cataract risk. T2D diagnosed < 45 years of age only was associated with an increased risk of glaucoma [HR (95%CI): 1.76 (1.00-3.12)]. HRs (95%CIs) for AMD, cataract, and glaucoma associated with type 1 diabetes (T1D) were 4.12 (1.99-8.53), 2.95 (2.17-4.02), and 2.40 (1.09-5.31), respectively. In multivariable-adjusted analysis, individuals with T2D diagnosed < 45 years of age [β 95%CI: 0.025 (0.009,0.040)] had a larger increase in LogMAR. The β (95%CI) for LogMAR associated with T1D was 0.044 (0.014, 0.073). CONCLUSION The younger age at the diagnosis of diabetes is associated with a larger relative risk of incident ocular diseases and greater vision loss.
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Affiliation(s)
- Si-Ting Ye
- The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong Province, China
- Department of Ultrasound, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong Province, China
| | - Xian-Wen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Yu Huang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Susan Zhu
- Austin Hospital, University of Melbourne, Melbourne 3084, Victoria, Australia
| | - Zhuo-Ting Zhu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Xue-Li Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, Guangdong Province, China
| | - Shu-Lin Tang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Zong-Yuan Ge
- Monash e-Research Center, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Center, Monash University, Melbourne 3080, Victoria, Australia
| | - Xiao-Hong Yang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Ming-Guang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, Guangdong Province, China
- Department of Ophthalmic Epidemiology, Centre for Eye Research Australia, Melbourne 3002, Victoria, Australia
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Fu Y, Lu M, Zhang K, Sun Y, Tan X, Wang N, Xu F, Jiang B, Lu Y, Wang B. Vitamin D status, vitamin D receptor polymorphisms, and risk of type 2 diabetes: A prospective cohort study. J Clin Endocrinol Metab 2024:dgae221. [PMID: 38571313 DOI: 10.1210/clinem/dgae221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/25/2024] [Accepted: 04/03/2024] [Indexed: 04/05/2024]
Abstract
CONTEXT Vitamin D status has been associated with risk of type 2 diabetes (T2D), but evidence is scarce regarding whether such relation differs by glycemic status. OBJECTIVE To prospectively investigate the association between serum 25-hydroxyvitamin D [25(OH)D] and risk of incident T2D across the glycemic spectrum and the modification effect of genetic variants in vitamin D receptor (VDR). METHODS This prospective study included 379,699 participants without T2D at baseline from the UK Biobank. Analyses were performed according to glycemic status and HbA1c levels. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% CIs. RESULTS During a median of 14.1 years of follow-up, 6,315 participants with normoglycemia and 9,085 prediabetes patients developed T2D. Compared to individuals with 25(OH)D <25 nmol/L, the multivariable-adjusted hazard ratios (95% CIs) of incident T2D for those with 25(OH)D ≥75 nmol/L was 0.62 (0.56, 0.70) among the normoglycemia and 0.64 (0.58, 0.70) among the prediabetes. A significant interaction was observed between 25(OH)D and VDR polymorphisms among participants with prediabetes (Pinteraction=0.017), whereby the reduced HR of T2D associated with higher 25(OH)D was more prominent in those carrying T allele of rs1544410. Triglycerides levels mediated 26% and 34% of the association between serum 25(OH)D and incident T2D among participants with normoglycemia and prediabetes. CONCLUSIONS Higher serum 25(OH)D concentrations were associated with lower T2D risk across the glycemic spectrum below the threshold for diabetes, and the relations in prediabetes were modified by VDR polymorphisms. Improving lipid profile, mainly triglycerides, accounted for part of the favorable associations.
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Affiliation(s)
- Yanqi Fu
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Meng Lu
- Research Center for Clinical Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kun Zhang
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Sun
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Tan
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Ningjian Wang
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fei Xu
- iHuman Institute, School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Boren Jiang
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingli Lu
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bin Wang
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Wang X, Ma H, Li X, Liang Z, Fonseca V, Qi L. Risk factor control and incident cardiovascular disease in patients with diabetes: Sex-specific relations. Diabetes Obes Metab 2024; 26:1421-1429. [PMID: 38229469 PMCID: PMC10922851 DOI: 10.1111/dom.15443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 12/22/2023] [Accepted: 12/23/2023] [Indexed: 01/18/2024]
Abstract
AIM Women with diabetes are at higher risk of cardiovascular diseases (CVD) than men with diabetes; however, the sex difference in the association between the degree of risk factor control and the risk of CVD in patients with diabetes is unclear. METHODS In total, 17 260 participants diagnosed with diabetes from the UK Biobank were included and matched with 86 300 non-diabetes controls based on age, sex and assessment centre. The main exposure was the number of risk factors within the target range, including glycated haemoglobin level <53 mol/mol (7%), blood pressure <140/90 mm/Hg, low-density lipoprotein cholesterol <100 mg/dl, non-current smoking and absence of microalbuminuria. RESULTS During a median follow-up of 13.3 years, a total of 3338 incident CVD cases, including 2807 ischaemic heart disease and 793 strokes, were documented. A more stringent control of risk factors was significantly associated with a lower risk of incident CVD, and such an association was significantly stronger in women than men. Compared with non-diabetes participants, the diabetes-related risk of CVD appeared to be eliminated if more than three risk factors were well controlled among women and men with diabetes. Moreover, clinical biomarkers (e.g. glycated haemoglobin and blood pressure) showed greater relative importance than other factors in women, whereas socio-economic and psychological factors (e.g. education and depression) exhibited similar relative importance to clinical biomarkers in men with diabetes. CONCLUSION Our findings highlighted the importance of raising awareness of sex differences in the management of CVD risk factors among patients with diabetes.
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Affiliation(s)
- Xuan Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Zhaoxia Liang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
- Obstetrical Department, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China
| | - Vivian Fonseca
- Section of Endocrinology and Metabolism, Tulane University School of Medicine, New Orleans, LA
- Southeast Louisiana Veterans Health Care System, New Orleans, LA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Wagner SK, Bountziouka V, Hysi P, Rahi JS. Associations between unilateral amblyopia in childhood and cardiometabolic disorders in adult life: a cross-sectional and longitudinal analysis of the UK Biobank. EClinicalMedicine 2024; 70:102493. [PMID: 38685932 PMCID: PMC11056416 DOI: 10.1016/j.eclinm.2024.102493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/29/2024] [Accepted: 02/01/2024] [Indexed: 05/02/2024] Open
Abstract
Background Amblyopia is a common neurodevelopmental condition and leading cause of childhood visual impairment. Given the known association between neurodevelopmental impairment and cardiometabolic dysfunction in later life, we investigated whether children with amblyopia have increased risk of cardiometabolic disorders in adult life. Methods This was a cross-sectional and longitudinal analysis of 126,399 United Kingdom Biobank cohort participants who underwent ocular examination. A subset of 67,321 of these received retinal imaging. Data analysis was conducted between November 1st 2021 and October 15th 2022. Our primary objective was to investigate the association between amblyopia and a number of components of metabolic syndrome and individual cardiometabolic diseases. Childhood amblyopia, dichotomised as resolved or persisting by adulthood, cardiometabolic disease and mortality were defined using ophthalmic assessment, self-reported, hospital admissions and death records. Morphological features of the optic nerve and retinal vasculature and sublayers were extracted from retinal photography and optical coherence tomography. Associations between amblyopia and cardiometabolic disorders as well as retinal markers were investigated in multivariable-adjusted regression models. Findings Individuals with persisting amblyopia (n = 2647) were more likely to be obese (adjusted odds ratio (95% confidence interval): 1.16 (1.05; 1.28)), hypertensive (1.25 (1.13; 1.38)) and diabetic (1.29 (1.04; 1.59)) than individuals without amblyopia (controls, (n = 18,481)). Amblyopia was also associated with an increased risk of myocardial infarction (adjusted hazard ratio: 1.38 (1.11; 1.72)) and death (1.36 (1.15; 1.60)). On retinal imaging, amblyopic eyes had significantly increased venular caliber (0.29 units (0.21; 0.36)), increased tortuosity (0.11 units (0.03; 0.19)), but lower fractal dimension (-0.23 units (-0.30; -0.16)) and thinner ganglion cell-inner plexiform layer (mGC-IPL, -2.85 microns (-3.47; -2.22)). Unaffected fellow eyes of individuals with amblyopia also had significantly lower retinal fractal dimension (-0.08 units (-0.15; -0.01)) and thinner mGC-IPL (-1.14 microns (-1.74; -0.54)). Amblyopic eyes with a persisting visual deficit had smaller optic nerve disc height (-0.17 units (-0.25; -0.08)) and width (-0.13 units (-0.21; -0.04)) compared to control eyes. Interpretation Although further research is needed to understand the basis of the observed associations, healthcare professionals should be cognisant of greater cardiometabolic dysfunction in adults who had childhood amblyopia. Differences in retinal features in both the amblyopic eye and the unaffected non-amblyopic suggest generalised versus local processes. Funding Medical Research Council (MR/T000953/1) and the National Institute for Health and Care Research.
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Affiliation(s)
- Siegfried Karl Wagner
- Institute of Ophthalmology, University College London, London, UK
- NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology London, UK
| | - Vasiliki Bountziouka
- Computer Simulation, Genomics and Data Analysis Laboratory, Department of Food Science and Nutrition, University of the Aegean, Greece
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Cardiovascular Research Centre, Department of Cardiovascular Science, University of Leicester, Leicester, UK
| | - Pirro Hysi
- Section of Ophthalmology, School of Life Course Sciences, King's College London, London, UK
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Jugnoo Sangeeta Rahi
- Institute of Ophthalmology, University College London, London, UK
- NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology London, UK
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Great Ormond Street Hospital NHS Foundation Trust, London, UK
- Ulverscroft Vision Research Group, University College London, London, UK
- NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital, London, UK
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Liu X, Littlejohns TJ, Bešević J, Bragg F, Clifton L, Collister JA, Trichia E, Gray LJ, Khunti K, Hunter DJ. Incorporating polygenic risk into the Leicester Risk Assessment score for 10-year risk prediction of type 2 diabetes. Diabetes Metab Syndr 2024; 18:102996. [PMID: 38608567 DOI: 10.1016/j.dsx.2024.102996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 02/22/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024]
Abstract
AIMS We evaluated whether incorporating information on ethnic background and polygenic risk enhanced the Leicester Risk Assessment (LRA) score for predicting 10-year risk of type 2 diabetes. METHODS The sample included 202,529 UK Biobank participants aged 40-69 years. We computed the LRA score, and developed two new risk scores using training data (80% sample): LRArev, which incorporated additional information on ethnic background, and LRAprs, which incorporated polygenic risk for type 2 diabetes. We assessed discriminative and reclassification performance in a test set (20% sample). Type 2 diabetes was ascertained using primary care, hospital inpatient and death registry records. RESULTS Over 10 years, 7,476 participants developed type 2 diabetes. The Harrell's C indexes were 0.796 (95% Confidence Interval [CI] 0.785, 0.806), 0.802 (95% CI 0.792, 0.813), and 0.829 (95% CI 0.820, 0.839) for the LRA, LRArev and LRAprs scores, respectively. The LRAprs score significantly improved the overall reclassification compared to the LRA (net reclassification index [NRI] = 0.033, 95% CI 0.015, 0.049) and LRArev (NRI = 0.040, 95% CI 0.024, 0.055) scores. CONCLUSIONS Polygenic risk moderately improved the performance of the existing LRA score for 10-year risk prediction of type 2 diabetes.
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Affiliation(s)
- Xiaonan Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Jelena Bešević
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Fiona Bragg
- Nuffield Department of Population Health, University of Oxford, Oxford, UK; MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lei Clifton
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Eirini Trichia
- Nuffield Department of Population Health, University of Oxford, Oxford, UK; MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Laura J Gray
- Department of Population Health Sciences, University of Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - David J Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
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Wang B, Fu Y, Tan X, Wang N, Qi L, Lu Y. Assessing the impact of type 2 diabetes on mortality and life expectancy according to the number of risk factor targets achieved: an observational study. BMC Med 2024; 22:114. [PMID: 38475845 PMCID: PMC10935790 DOI: 10.1186/s12916-024-03343-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 03/06/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) is associated with an increased risk of premature death. Whether multifactorial risk factor modification could attenuate T2D-related excess risk of death is unclear. We aimed to examine the association of risk factor target achievement with mortality and life expectancy among patients with T2D, compared with individuals without diabetes. METHODS In this longitudinal cohort study, we included 316 995 participants (14 162 with T2D and 302 833 without T2D) free from cardiovascular disease (CVD) or cancer at baseline between 2006 and 2010 from the UK Biobank. Participants with T2D were categorised according to the number of risk factors within target range (non-smoking, being physically active, healthy diet, guideline-recommended levels of glycated haemoglobin, body mass index, blood pressure, and total cholesterol). Survival models were applied to calculate hazard ratios (HRs) for mortality and predict life expectancy differences. RESULTS Over a median follow-up of 13.8 (IQR 13.1-14.4) years, deaths occurred among 2105 (14.9%) participants with T2D and 18 505 (6.1%) participants without T2D. Compared with participants without T2D (death rate per 1000 person-years 4.51 [95% CI 4.44 to 4.57]), the risk of all-cause mortality among those with T2D decreased stepwise with an increasing number of risk factors within target range (0-1 risk factor target achieved: absolute rate difference per 1000 person-years 7.34 [4.91 to 9.78], HR 2.70 [2.25 to 3.25]; 6-7 risk factors target achieved: absolute rate difference per 1000 person-years 0.68 [-0.62 to 1.99], HR 1.16 [0.93 to 1.43]). A similar pattern was observed for CVD and cancer mortality. The association between risk factors target achievement and all-cause mortality was more prominent among participants younger than 60 years than those 60 years or older (P for interaction = 0.012). At age 50 years, participants with T2D who had 0-1 and 6-7 risk factors within target range had an average 7.67 (95% CI 6.15 to 9.19) and 0.99 (-0.59 to 2.56) reduced years of life expectancy, respectively, compared with those without T2D. CONCLUSIONS Individuals with T2D who achieved multiple risk factor targets had no significant excess mortality risk or reduction in life expectancy than those without diabetes. Early interventions aiming to promote risk factor modification could translate into improved long-term survival for patients with T2D.
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Affiliation(s)
- Bin Wang
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China
| | - Yanqi Fu
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China
| | - Xiao Tan
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Ningjian Wang
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Yingli Lu
- Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China.
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Zhou J, Wang X, Tang R, Kou M, Ma H, Li X, Heianza Y, Fonseca V, Qi L. Degree of joint risk factor control and hazard of mortality in diabetes patients: a matched cohort study in UK Biobank. BMC Med 2024; 22:108. [PMID: 38454415 PMCID: PMC10921580 DOI: 10.1186/s12916-024-03288-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 02/08/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Diabetes patients are at higher risk for mortality than the general population; however, little is known about whether the excess mortality risk associated with diabetes could be mitigated or nullified via controlling for risk factors. METHODS We included 18,535 diabetes patients and 91,745 matched individuals without diabetes without baseline cancer or cardiovascular disease (CVD), followed up from 2006 to 2021. The main exposure was the number of optimized risk factors including glycated hemoglobin < 53 mmol/mole, systolic blood pressure < 140 mmHg and diastolic blood pressure < 90 mmHg, no albuminuria, non-current smoking and low-density lipoprotein cholesterol (LDL-C) < 2.5 mmol/L. We used Cox proportional hazards models to explore the association of the degree of risk factor control with all-cause mortality, cancer mortality, CVD mortality and other mortality. RESULTS Each additional risk factor control was associated with a 16, 10, 21 and 15% lower risk of all-cause mortality, cancer mortality, CVD mortality and other mortality, respectively. Optimal risk factors control (controlling 5 risk factors) was associated with a 50% (HR 0.50, 95% CI 0.41-0.62), 74% (HR 0.26, 95% CI 0.16-0.43) and 38% (HR 0.62, 95% CI 0.44-0.87) lower risk of all-cause mortality, CVD mortality and other mortality, respectively. Diabetes patients with 4, 3 and 5 or more controlled risk factors, respectively, showed no excess risk of all-cause mortality, cancer mortality and CVD mortality compared to matched non-diabetes patients. CONCLUSIONS The results from this study indicate that optimal risk factor control may eliminate diabetes-related excess risk of all-cause mortality, CVD mortality and other mortality.
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Affiliation(s)
- Jian Zhou
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xuan Wang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Rui Tang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Minghao Kou
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Hao Ma
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Xiang Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Yoriko Heianza
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Vivian Fonseca
- Section of Endocrinology and Metabolism, Tulane University School of Medicine, New Orleans, LA, USA
- Southeast Louisiana Veterans Health Care System, New Orleans, LA, USA
| | - Lu Qi
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Fu T, Sun Y, Lu S, Zhao J, Dan L, Shi W, Chen J, Chen Y, Li X. Risk Assessment for Gastrointestinal Diseases via Clinical Dimension and Genome-Wide Polygenic Risk Scores of Type 2 Diabetes: A Population-Based Cohort Study. Diabetes Care 2024; 47:418-426. [PMID: 38166334 PMCID: PMC10909683 DOI: 10.2337/dc23-0978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 12/07/2023] [Indexed: 01/04/2024]
Abstract
OBJECTIVE We aimed to evaluate whether individuals with type 2 diabetes (T2D) were at higher risk of developing a wide range of gastrointestinal diseases based on a population-based cohort study. RESEARCH DESIGN AND METHODS This study included 374,125 participants free of gastrointestinal disorders at baseline; of them, 19,719 (5.27%) with T2D were followed-up by linking to multiple medical records to record gastrointestinal disease diagnoses. Multivariable Cox models were used to estimate the hazard ratios (HRs) and CIs. Logistic models were used to examine the associations between polygenic risk scores (PRS) and clinical gastrointestinal phenotypes. RESULTS During a median follow-up of 12.0 years, we observed the new onset of 15 gastrointestinal diseases. Compared with nondiabetes, participants with T2D had an increased risk of gastritis and duodenitis (HR 1.58, 95% CI 1.51-1.65), peptic ulcer (HR 1.56, 95% CI 1.43-1.71), diverticular disease (HR 1.19, 95% CI 1.14-1.24), pancreatitis (HR 1.45, 95% CI 1.24-1.71), nonalcoholic fatty liver disease (HR 2.46, 95% CI 2.25-2.69), liver cirrhosis (HR 2.92, 95% CI 2.58-3.30), biliary disease (HR 1.18, 95% CI 1.10-1.26), gastrointestinal tract cancers (HR 1.28, 95% CI 1.17-1.40), and hepatobiliary and pancreatic cancer (HR 2.32, 95% CI 2.01-2.67). Positive associations of PRS of T2D with gastritis, duodenitis, and nonalcoholic fatty liver disease were also observed. CONCLUSIONS In this large cohort study, we found that T2D was associated with increased risks of a wide range of gastrointestinal outcomes. We suggest the importance of early detection and prevention of gastrointestinal disorders among patients with T2D.
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Affiliation(s)
- Tian Fu
- Department of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Yuhao Sun
- Department of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Shiyuan Lu
- Department of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianhui Zhao
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Lintao Dan
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Wenming Shi
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, Hong Kong
| | - Jie Chen
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Gastroenterology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Yan Chen
- Department of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xue Li
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Tarp J, Luo M, Sanchez-Lastra MA, Dalene KE, Cruz BDP, Ried-Larsen M, Thomsen RW, Ekelund U, Ding D. Leisure-time physical activity and all-cause mortality and cardiovascular disease in adults with type 2 diabetes: Cross-country comparison of cohort studies. JOURNAL OF SPORT AND HEALTH SCIENCE 2024; 13:212-221. [PMID: 37839525 PMCID: PMC10980889 DOI: 10.1016/j.jshs.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/24/2023] [Accepted: 09/12/2023] [Indexed: 10/17/2023]
Abstract
PURPOSE This study aimed to quantify the dose-response association and the minimal effective dose of leisure-time physical activity (PA) to prevent mortality and cardiovascular disease in adults with type 2 diabetes. METHODS Cross-country comparison of 2 prospective cohort studies including 14,913 and 17,457 population-based adults with type 2 diabetes from the UK and China. Baseline leisure-time PA was self-reported and categorized by metabolic equivalent hours per week (MET-h/week) according to World Health Organization recommendations: none, below recommendation (>0-7.49 MET-h/week); at recommended level (7.5-14.9 MET-h/week); above recommendation (≥15 MET-h/week). Mortality and cardiovascular disease data were obtained from national registries. RESULTS During a median follow-up of 12.4 and 9.7 years, in the UK and China cohorts, repectively, higher levels of leisure-time PA were inversely associated with all-cause (1571 and 2351 events) and cardiovascular mortality (392 and 1060 events), mostly consistent with a linear dose-response relationship. PA below, at, and above recommendations, compared with no activity, yielded all-cause mortality hazard ratios of 0.94 (95% confidence interval (95%CI): 0.79-1.12), 0.90 (95%CI: 0.74-1.10), and 0.85 (95%CI: 0.70-1.02) in British adults and 0.87 (95%CI: 0.68-1.10), 0.88 (95%CI: 0.74-1.03), and 0.77 (95%CI: 0.70-0.85) in Chinese adults. Associations with cardiovascular mortality were more pronounced in British adults (0.80 (95%CI: 0.58-1.11), 0.75 (95%CI: 0.52-1.09), and 0.69 (95%CI: 0.48-0.97)) but less pronounced in Chinese adults (1.06 (95%CI: 0.76-1.47), 1.01 (95%CI: 0.80-1.28), and 0.79 (95%CI: 0.69-0.92)). PA at recommended levels was not associated with lower rates of major adverse cardiovascular events (2345 and 4458 events). CONCLUSION Leisure-time PA at the recommended levels was not convincingly associated with lower mortality and had no association with risk of major adverse cardiovascular events in British or Chinese adults with type 2 diabetes. Leisure-time PA above current recommendations may be needed to prevent cardiovascular disease and premature mortality in adults with type 2 diabetes.
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Affiliation(s)
- Jakob Tarp
- Department of Clinical Epidemiology, Aarhus University & Aarhus University Hospital, Aarhus 8200, Denmark.
| | - Mengyun Luo
- Prevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Camperdown, NSW 2006, Australia; Charles Perkins Centre, the University of Sydney, Camperdown, NSW 2050, Australia
| | - Miguel Adriano Sanchez-Lastra
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo 0806, Norway; Department of Special Didactics, Faculty of Education and Sports Sciences, University of Vigo, Pontevedra 36005, Spain; Well-Move Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo 36213, Spain
| | - Knut Eirik Dalene
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo 0473, Norway
| | - Borja Del Pozo Cruz
- Centre for Active and Healthy Ageing, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense 5230, Denmark; Faculty of Education, University of Cádiz, Cádiz 11519, Spain; Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital, University of Cádiz, Cádiz 11009, Spain
| | - Mathias Ried-Larsen
- The Centre of Inflammation and Metabolism & the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen 2100, Denmark; Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense 5230, Denmark
| | - Reimar Wernich Thomsen
- Department of Clinical Epidemiology, Aarhus University & Aarhus University Hospital, Aarhus 8200, Denmark
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo 0806, Norway; Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo 0473, Norway
| | - Ding Ding
- Prevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Camperdown, NSW 2006, Australia; Charles Perkins Centre, the University of Sydney, Camperdown, NSW 2050, Australia
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Sanchez-Lastra MA, Ding D, Del Pozo Cruz B, Dalene KE, Ayán C, Ekelund U, Tarp J. Joint associations of device-measured physical activity and abdominal obesity with incident cardiovascular disease: a prospective cohort study. Br J Sports Med 2024; 58:196-203. [PMID: 37940366 PMCID: PMC10894840 DOI: 10.1136/bjsports-2023-107252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/09/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE To examine the joint associations between physical activity and abdominal obesity with the risk of cardiovascular disease (CVD) events. METHODS We included 70 830 UK Biobank participants (mean age±SD=61.6 ± 7.9 years; 56.4% women) with physical activity measured by wrist-worn accelerometers and without major chronic diseases. Participants were jointly categorised into six groups based on their physical activity level (tertiles of total volume and specific intensity levels) and presence or absence of abdominal obesity based on measured waist circumference. Associations with incident CVD (fatal and non-fatal events) were determined using proportional subdistribution hazard models with multivariable adjustment. RESULTS After excluding events during the first 2 years of follow-up, participants were followed for a median of 6.8 years, during which 2795 CVD events were recorded. Compared with the low abdominal adiposity and highest tertile of physical activity, abdominal obesity was associated with higher risk of incident CVD, especially in those with low levels of vigorous-intensity physical activity (HR 1.42, 95% CI 1.22 to 1.64). Approximately 500 min per week of moderate-to-vigorous intensity and approximately 30-35 min of vigorous-intensity physical activity offset the association of abdominal obesity and the risk of having a CVD event. CONCLUSION Physical activity equivalent to approximately 30-35 min of vigorous intensity per week appears to offset the association between abdominal obesity and incident CVD. About 15 times more physical activity of at least moderate intensity is needed to achieve similar results.
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Affiliation(s)
- Miguel Adriano Sanchez-Lastra
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
- Department of Special Didactics, University of Vigo Faculty of Education and Sports Sciences, Pontevedra, Spain
- Wellness and Movement Research Group (WellMove), Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Ding Ding
- Prevention Research Collaboration, The University of Sydney School of Public Health, Sydney, New South Wales, Australia
- The University of Sydney Charles Perkins Centre, Camperdown, New South Wales, Australia
| | - Borja Del Pozo Cruz
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark Centre for Active and Healthy Ageing, Odense, Denmark
- University of Cadiz Faculty of Education Sciences, Puerto Real, Spain
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, University of Cádiz Puerta del Mar University Hospital, Cádiz, Spain
| | - Knut Eirik Dalene
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Carlos Ayán
- Department of Special Didactics, University of Vigo Faculty of Education and Sports Sciences, Pontevedra, Spain
- Wellness and Movement Research Group (WellMove), Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Jakob Tarp
- Department of Clinical Epidemiology, Aarhus University & University Hospital, Aarhus, Denmark
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Clifton L, Liu X, Collister JA, Littlejohns TJ, Allen N, Hunter DJ. Assessing the importance of primary care diagnoses in the UK Biobank. Eur J Epidemiol 2024; 39:219-229. [PMID: 38225527 PMCID: PMC10904436 DOI: 10.1007/s10654-023-01095-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/24/2023] [Indexed: 01/17/2024]
Abstract
The UK Biobank has made general practitioner (GP) data (censoring date 2016-2017) available for approximately 45% of the cohort, whilst hospital inpatient and death registry (referred to as "HES/Death") data are available cohort-wide through 2018-2022 depending on whether the data comes from England, Wales or Scotland. We assessed the importance of case ascertainment via different data sources in UKB for three diseases that are usually first diagnosed in primary care: Parkinson's disease (PD), type 2 diabetes (T2D), and all-cause dementia. Including GP data at least doubled the number of incident cases in the subset of the cohort with primary care data (e.g. from 619 to 1390 for dementia). Among the 786 dementia cases that were only captured in the GP data before the GP censoring date, only 421 (54%) were subsequently recorded in HES. Therefore, estimates of the absolute incidence or risk-stratified incidence are misleadingly low when based only on the HES/Death data. For incident cases present in both HES/Death and GP data during the full follow-up period (i.e. until the HES censoring date), the median time difference between an incident diagnosis of dementia being recorded in GP and HES/Death was 2.25 years (i.e. recorded 2.25 years earlier in the GP records). Similar lag periods were also observed for PD (median 2.31 years earlier) and T2D (median 2.82 years earlier). For participants with an incident GP diagnosis, only 65.6% of dementia cases, 69.0% of PD cases, and 58.5% of T2D cases had their diagnosis recorded in HES/Death within 7 years since GP diagnosis. The effect estimates (hazard ratios, HR) of established risk factors for the three health outcomes mostly remain in the same direction and with a similar strength of association when cases are ascertained either using HES only or further adding GP data. The confidence intervals of the HR became narrower when adding GP data, due to the increased statistical power from the additional cases. In conclusion, it is desirable to extend both the coverage and follow-up period of GP data to allow researchers to maximise case ascertainment of chronic health conditions in the UK.
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Affiliation(s)
- Lei Clifton
- Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Xiaonan Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | | | - Naomi Allen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank Ltd, Stockport, UK
| | - David J Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
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Zhang Y, Zhang Y, Ye Z, Zhou C, Yang S, Liu M, He P, Gan X, Qin X. Relationship of serum 25-hydroxyvitamin D, obesity with new-onset obstructive sleep apnea. Int J Obes (Lond) 2024; 48:218-223. [PMID: 37891401 DOI: 10.1038/s41366-023-01402-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 10/13/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023]
Abstract
OBJECTIVE The prospective association between vitamin D and obstructive sleep apnea (OSA) remains uncertain. We aimed to assess the association between serum 25-hydroxyvitamin D (25(OH)D), a major circulating form of vitamin D, and new-onset OSA, and examine the modifying effect of obesity. MATERIALS AND METHODS This prospective cohort study included 444,975 participants from UK Biobank without prior OSA. The primary outcome was new-onset OSA. RESULTS During a median follow-up duration of 12.0 years, 6051 (1.4%) participants occurred new-onset OSA. Overall, there was an inverse relation of serum 25(OH)D concentrations with the risk of new-onset OSA (per SD increment, HR, 0.92; 95%CI: 0.89-0.95). In the analysis of the interactions of serum 25(OH)D with the combination of BMI (<25, 25- < 30, and ≥30 kg/m2) and waist circumference (WC) (<90 and ≥90 cm) categories on new-onset OSA, the significantly inverse association of serum 25(OH)D and new-onset OSA was mainly found in participants with both BMI ≥ 25 kg/m2 and WC ≥ 90 cm (BMI 25-30 kg/m2 and WC ≥ 90 cm: per SD increment, HR, 0.90; 95%CI: 0.84-0.95; BMI ≥ 30 kg/m2 and WC ≥ 90 cm: per SD increment, HR, 0.85; 95%CI: 0.81-0.88), but not in other four groups with BMI < 25 kg/m2 or WC < 90 cm (P -interaction = 0.004). CONCLUSIONS There was an inverse relation of serum 25(OH)D with the risk of new-onset OSA in participants with both BMI ≥ 25 kg/m2 and WC ≥ 90 cm. Our findings suggest the importance of maintaining a higher serum 25(OH)D concentration for primary prevention of OSA in a population with obesity.
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Affiliation(s)
- Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China
| | - Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.
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Liu M, He P, Ye Z, Zhang Y, Zhou C, Yang S, Zhang Y, Qin X. Association of handgrip strength and walking pace with incident Parkinson's disease. J Cachexia Sarcopenia Muscle 2024; 15:198-207. [PMID: 37990960 PMCID: PMC10834345 DOI: 10.1002/jcsm.13366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND We aimed to quantify the association of handgrip strength and self-reported walking pace with incident Parkinson's disease (PD) in the general population. METHODS A total of 419 572 participants (54.1% females, mean age: 56.1 years [SD, 8.2]) without prior PD were included from UK Biobank. Handgrip strength was assessed by dynamometer. Walking pace was self-reported as slow, average or brisk. The study outcome was incident PD, determined by self-report data, hospital admission records or death records. RESULTS The mean handgrip strength was 23.5 (SD, 6.3) and 39.6 (SD, 8.9) kg for females and males, respectively. A total of 33 645 (8.0%), 221 682 (52.8%) and 164 245 (39.2%) participants reported slow, average and brisk walking pace, respectively. Over a median follow-up duration of 12.5 years, 2152 participants developed incident PD. When handgrip strength was assessed as sex-specific tertiles, compared with those in the third tertile, the adjusted hazard ratios (HRs) (95% confidence interval [CI]) of incident PD for participants in the second and first tertiles were 1.23 (1.09-1.39) and 1.60 (1.42-1.79), respectively. Compared with brisk walking pace, average (HR, 1.33; 95% CI: 1.20-1.47) or slow (HR, 1.84; 95% CI: 1.57-2.15) walking pace was associated with a higher risk of incident PD. A lower grip strength (Tertiles 1 and 2) and an average/slow walking pace accounted for 23.8% and 19.9% of PD cases, respectively. When handgrip strength and walking pace were considered together, the highest risk of incident PD was observed in participants with both lowest handgrip strength and slow walking pace (HR, 2.89; 95% CI: 2.30-3.64). Genetic risks of PD did not significantly modify the relation of handgrip strength (P for interaction = 0.371) or walking pace (P for interaction = 0.082) with new-onset PD. CONCLUSIONS Low handgrip strength and slow walking pace were significantly associated with a higher risk of incident PD, regardless of the individuals' genetic risk profile.
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Affiliation(s)
- Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center for Kidney Disease, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Guangzhou, China
- Guangdong Provincial Institute of Nephrology, Guangzhou, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center for Kidney Disease, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Guangzhou, China
- Guangdong Provincial Institute of Nephrology, Guangzhou, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center for Kidney Disease, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Guangzhou, China
- Guangdong Provincial Institute of Nephrology, Guangzhou, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center for Kidney Disease, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Guangzhou, China
- Guangdong Provincial Institute of Nephrology, Guangzhou, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center for Kidney Disease, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Guangzhou, China
- Guangdong Provincial Institute of Nephrology, Guangzhou, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center for Kidney Disease, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Guangzhou, China
- Guangdong Provincial Institute of Nephrology, Guangzhou, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center for Kidney Disease, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Guangzhou, China
- Guangdong Provincial Institute of Nephrology, Guangzhou, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- National Clinical Research Center for Kidney Disease, Guangzhou, China
- State Key Laboratory of Organ Failure Research, Guangzhou, China
- Guangdong Provincial Institute of Nephrology, Guangzhou, China
- Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
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Qiu Z, Lu Q, Wan Z, Geng T, Li R, Zhu K, Li L, Chen X, Pan A, Manson JE, Liu G. Associations of Habitual Calcium Supplementation With Risk of Cardiovascular Disease and Mortality in Individuals With and Without Diabetes. Diabetes Care 2024; 47:199-207. [PMID: 37506393 DOI: 10.2337/dc23-0109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 03/28/2023] [Indexed: 07/30/2023]
Abstract
OBJECTIVE To prospectively examine the associations of habitual calcium supplementation with cardiovascular disease (CVD) events and mortality in individuals with and without diabetes. RESEARCH DESIGN AND METHODS The main analysis included 434,374 participants from the UK Biobank. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% CIs. Interactions of calcium supplement use with diabetes status were tested on multiplicative and additive scales. RESULTS Over a median follow-up of 8.1 and 11.2 years, 26,374 incident CVD events and 20,526 deaths were documented, respectively. After multivariable adjustment, habitual calcium supplementation was significantly associated with higher risks of CVD incidence (HR 1.34; 95% CI 1.14, 1.57), CVD mortality (HR 1.67; 95% CI 1.19, 2.33), and all-cause mortality (HR 1.44; 95% CI 1.20, 1.72) in participants with diabetes, whereas no significant association was observed in participants without diabetes (HR 0.97 [95% CI 0.92, 1.03] for CVD incidence; HR 1.05 [95% CI 0.90, 1.23] for CVD mortality; HR 1.02 [95% CI 0.96, 1.09] for all-cause mortality). Significant multiplicative and additive interactions were found between habitual calcium supplementation and diabetes status on risks of CVD events and mortality (all Pinteraction < 0.05). In contrast, no significant interactions were observed between dietary or serum calcium and diabetes status. CONCLUSIONS Habitual use of calcium supplements was significantly associated with higher risk of CVD events and mortality in people with diabetes but not in people without diabetes. Further studies are needed to balance potentially adverse effects of calcium supplement against likely benefits, particularly among patients with diabetes.
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Affiliation(s)
- Zixin Qiu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhenzhen Wan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Geng
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rui Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kai Zhu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lin Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xue Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Liu M, Ye Z, He P, Yang S, Zhang Y, Zhou C, Zhang Y, Hou FF, Qin X. Adding salt to foods and hazards of microvascular, cerebrovascular and cardiovascular diseases. Eur J Clin Nutr 2024; 78:141-148. [PMID: 37838806 DOI: 10.1038/s41430-023-01354-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 09/26/2023] [Accepted: 10/02/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND We aimed to examine the association of the frequency of adding salt to foods and the hazards of the incidence and mortality risks for a range of vascular outcomes, including microvascular, cerebrovascular, and cardiovascular diseases. METHODS 438,307 participants from the UK Biobank who completed the questionnaire on the frequency of adding salt to foods and were free of vascular disease at baseline were enrolled. Information on the frequency of adding salt to foods (do not include salt used in cooking) was collected at baseline through a touch-screen questionnaire. The primary outcomes included incident microvascular diseases, cerebrovascular diseases, and cardiovascular diseases, respectively. The secondary outcomes included: (1) each component of these vascular diseases (10 components in total), (2) first occurrence of fatal and non-fatal vascular diseases. RESULTS During a median follow-up of 12.1 years, a total of 17,169 (3.9%), 10,437 (2.4%), and 48,203 (11.0%) participants developed microvascular, cerebrovascular and cardiovascular diseases, respectively. Overall, the hazards of incident microvascular, cerebrovascular and cardiovascular diseases increased with the increasing frequency of adding salt to foods (all P for trend <0.001). Similar trends were found for the secondary outcomes. Moreover, the positive association of always adding salt to foods with hazard of cardiovascular diseases was stronger among current-smokers (P-interaction = 0.010), younger participants (P-interaction <0.001), and those with lower body mass index levels (P-interaction = 0.003). CONCLUSIONS Higher frequency of adding salt to foods was associated with higher hazards of non-fatal and fatal microvascular, cerebrovascular and cardiovascular diseases, and each component of these vascular diseases.
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Affiliation(s)
- Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Fan Fan Hou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
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Zhao Y, Li Y, Zhuang Z, Song Z, Jia J, Huang T. Frequency of Adding Salt to Foods, Genetic Susceptibility, and Incident Type 2 Diabetes: A Prospective Cohort Study. J Clin Endocrinol Metab 2024; 109:e589-e595. [PMID: 37758206 DOI: 10.1210/clinem/dgad544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/30/2023] [Accepted: 09/12/2023] [Indexed: 10/03/2023]
Abstract
CONTEXT Excessive salt consumption is known to increase the risk of hypertension and cardiovascular disease, but the association between salt intake and incident type 2 diabetes has not been extensively researched. OBJECTIVE In this study, we aimed to investigate the relationships between the frequency of adding salt to foods and incident type 2 diabetes, as well as any potential interactions with genetic predisposition. METHODS We included 368 137 eligible participants, aged 37 to 73 years, from the UK Biobank. The frequency of adding salt to foods was assessed via a food frequency questionnaire. RESULTS During a median follow-up of 12.6 years, we documented 10 981 incident type 2 diabetes cases. After adjustment for major confounders, participants who sometimes, usually, and always added salt to foods had 7% (hazard ratio [HR]: 1.07; 95% CI, 1.03-1.12), 9% (HR: 1.09; 95% CI, 1.03-1.16), 28% (HR: 1.28; 95% CI, 1.19-1.38) higher risks of developing type 2 diabetes, respectively, than those that never/rarely added salt to foods (P for trend < .001). We found these associations to be consistent across stratified and sensitivity analyses. However, we did not observe any statistically significant multiplicative or additive interactions between the frequency of adding salt to foods and genetic predisposition regarding incident type 2 diabetes. CONCLUSION Our findings suggest that consuming salt regularly, regardless of genetic susceptibility, may increase the risk of type 2 diabetes. Therefore, public health interventions aimed at reducing excessive salt consumption may help prevent the onset of type 2 diabetes.
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Affiliation(s)
- Yimin Zhao
- Institute of Sports Medicine, Peking University Third Hospital, Peking University, Beijing 100191, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yueying Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Zhenhuang Zhuang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Zimin Song
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jinzhu Jia
- Department of Biostatistics, 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
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
- Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing 100191, China
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Dai H, Hou T, Wang Q, Zhu Z, Zhu Y, Zhao Z, Li M, Xu Y, Lu J, Wang T, Ning G, Wang W, Bi Y, Zheng J, Xu M. The effect of metformin on urate metabolism: Findings from observational and Mendelian randomization analyses. Diabetes Obes Metab 2024; 26:242-250. [PMID: 37807832 DOI: 10.1111/dom.15310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 10/10/2023]
Abstract
AIM To evaluate the effect of metformin on urate metabolism. MATERIALS AND METHODS Using the UK Biobank, we first performed association analyses of metformin use with urate levels, risk of hyperuricaemia and incident gout in patients with diabetes. To explore the causal effect of metformin on urate and gout, we identified genetic variants proxying the glycated haemoglobin (HbA1c)-lowering effect of metformin targets and conducted a two-sample Mendelian randomization (MR) utilizing the urate and gout genetic summary-level data from the CKDGen (n = 288 649) and the FinnGen cohort. We conducted two-step MR to explore the mediation effect of body mass index and systolic blood pressure. We also performed non-linear MR in the UK Biobank (n = 414 055) to show the results across HbA1c levels. RESULTS In 18 776 patients with type 2 diabetes in UK Biobank, metformin use was associated with decreased urate [β = -4.3 μmol/L, 95% confidence interval (CI) -7.0, -1.7, p = .001] and reduced hyperuricaemia risk (odds ratio = 0.87, 95% CI 0.79, 0.96, p = .004), but not gout. Genetically proxied averaged HbA1c-lowering effects of metformin targets, equivalent to a 0.62% reduction in HbA1c, was associated with reduced urate (β = -12.5 μmol/L, 95% CI -21.4, -4.2, p = .004). Body mass index significantly mediated this association (proportion mediated = 33.0%, p = .002). Non-linear MR results suggest a linear trend of the effect of metformin on urate reduction across various HbA1c levels. CONCLUSIONS The effect of metformin may reduce urate levels but not incident gout in the general population.
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Affiliation(s)
- Huajie Dai
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianzhichao Hou
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zheng Zhu
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yijie Zhu
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun 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
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian 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
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, 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
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, 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
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 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
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie 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
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Min 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
- 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 Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Gan X, Liu M, He P, Ye Z, Xiang H, Zhou C, Yang S, Zhang Y, Zhang Y, Huang Y, Qin X. Habitual fish oil supplementation, genetic susceptibility of kidney stones and the risk of new-onset kidney stones. J Clin Lipidol 2024; 18:e116-e124. [PMID: 38065716 DOI: 10.1016/j.jacl.2023.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/26/2023] [Accepted: 11/20/2023] [Indexed: 03/23/2024]
Abstract
OBJECTIVE We aimed to assess the association between habitual fish oil use and new-onset kidney stones in participants with different levels of genetic risks of kidney stones. METHODS 477,311 participants free of kidney stones at baseline from the UK Biobank cohort were included. Fish oil use was collected by both food frequency questionnaires and 24-h dietary recalls. A genetic risk score (GRS) for kidney stones was calculated based on 20 single-nucleotide polymorphisms associated with kidney stones. The primary outcome was new-onset kidney stones. RESULTS During a median follow-up of 12.0 years, 5,637 cases of kidney stones were documented. Participants with high genetic risks of kidney stones had a higher risk of new-onset kidney stones (vs. low or intermediate risks; adjusted HR, 1.52; 95 %CI:1.44-1.60). Compared with non-users, habitual use of fish oil was associated with a lower risk of new-onset kidney stones (adjusted HR, 0.84, 95 %CI, 0.78-0.92) in participants with low or intermediate genetic risks, but not in those with high genetic risks of kidney stones (adjusted HR, 1.02, 95 %CI, 0.93-1.12; P-interaction =0.001). Among those with low or intermediate genetic risks of kidney stones, compared with fish oil constant nonusers, the adjusted HRs (95 %CI) for kidney stones were 0.89 (0.75-1.06), 0.72 (0.58-0.90), and 0.79 (0.64-0.97), for fish oil occasional users, modestly constant users, and moderately and highly constant users (P for trend = 0.001), respectively. CONCLUSIONS Habitual fish oil use was associated with a lower risk of new-onset kidney stones in participants with low or intermediate genetic risk of kidney stones.
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Affiliation(s)
- Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, PR China (Drs Gan, Liu, He, Ye, Xiang, Zhou, Yang, Zhang, Huang, and Qin)
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, PR China (Drs Gan, Liu, He, Ye, Xiang, Zhou, Yang, Zhang, Huang, and Qin)
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, PR China (Drs Gan, Liu, He, Ye, Xiang, Zhou, Yang, Zhang, Huang, and Qin)
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, PR China (Drs Gan, Liu, He, Ye, Xiang, Zhou, Yang, Zhang, Huang, and Qin)
| | - Hao Xiang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, PR China (Drs Gan, Liu, He, Ye, Xiang, Zhou, Yang, Zhang, Huang, and Qin)
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, PR China (Drs Gan, Liu, He, Ye, Xiang, Zhou, Yang, Zhang, Huang, and Qin)
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, PR China (Drs Gan, Liu, He, Ye, Xiang, Zhou, Yang, Zhang, Huang, and Qin)
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, PR China (Drs Gan, Liu, He, Ye, Xiang, Zhou, Yang, Zhang, Huang, and Qin)
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, PR China (Drs Gan, Liu, He, Ye, Xiang, Zhou, Yang, Zhang, Huang, and Qin)
| | - Yu Huang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, PR China (Drs Gan, Liu, He, Ye, Xiang, Zhou, Yang, Zhang, Huang, and Qin)
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510515, PR China (Drs Gan, Liu, He, Ye, Xiang, Zhou, Yang, Zhang, Huang, and Qin).
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Luo K, Chen GC, Zhang Y, Moon JY, Xing J, Peters BA, Usyk M, Wang Z, Hu G, Li J, Selvin E, Rebholz CM, Wang T, Isasi CR, Yu B, Knight R, Boerwinkle E, Burk RD, Kaplan RC, Qi Q. Variant of the lactase LCT gene explains association between milk intake and incident type 2 diabetes. Nat Metab 2024; 6:169-186. [PMID: 38253929 PMCID: PMC11097298 DOI: 10.1038/s42255-023-00961-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 12/04/2023] [Indexed: 01/24/2024]
Abstract
Cow's milk is frequently included in the human diet, but the relationship between milk intake and type 2 diabetes (T2D) remains controversial. Here, using data from the Hispanic Community Health Study/Study of Latinos, we show that in both sexes, higher milk intake is associated with lower risk of T2D in lactase non-persistent (LNP) individuals (determined by a variant of the lactase LCT gene, single nucleotide polymorphism rs4988235 ) but not in lactase persistent individuals. We validate this finding in the UK Biobank. Further analyses reveal that among LNP individuals, higher milk intake is associated with alterations in gut microbiota (for example, enriched Bifidobacterium and reduced Prevotella) and circulating metabolites (for example, increased indolepropionate and reduced branched-chain amino acid metabolites). Many of these metabolites are related to the identified milk-associated bacteria and partially mediate the association between milk intake and T2D in LNP individuals. Our study demonstrates a protective association between milk intake and T2D among LNP individuals and a potential involvement of gut microbiota and blood metabolites in this association.
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Affiliation(s)
- Kai Luo
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Guo-Chong Chen
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Nutrition and Food Hygiene, MOE Key Laboratory of Geriatric Diseases and Immunology, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yanbo Zhang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jiaqian Xing
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Brandilyn A Peters
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mykhaylo Usyk
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Zheng Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Jun Li
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bing Yu
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Rob Knight
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Robert D Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Obstetrics and Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Zhu X, Zhang X, Zhou C, Li B, Huang Y, Li C, Gu C, Ma M, Zhao S, Fan Y, Xu X, Chang J, Chen H, Zheng Z. Walking pace and microvascular complications among individuals with type 2 diabetes: A cohort study from the UK Biobank. Scand J Med Sci Sports 2024; 34:e14501. [PMID: 37740713 DOI: 10.1111/sms.14501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/08/2023] [Accepted: 09/13/2023] [Indexed: 09/25/2023]
Abstract
INTRODUCTION Walking pace is associated with various health-related outcomes. The aim of this study was to investigate the association between self-reported walking pace and the incidences of diabetic microvascular complications among participants with type 2 diabetes (T2D). METHODS Self-reported walking pace was classified as brisk, average, or slow. The outcomes were the incidences of diabetic retinopathy, diabetic neuropathy, and diabetic nephropathy. COX proportional hazards models adjusted for sociodemographic, lifestyle, and health-related factors were used to estimate hazard ratios (HRs) and 95% CIs. RESULTS A total of 14 518 participants with T2D in the UK Biobank (mean age 59.7 ± 7.0 years, 5028 [34.6%] women) were included. During a median follow-up of 12.5 (interquartile range: 11.6-13.4) years, 2980 participants developed diabetic microvascular complications. After adjusting for confounding factors, and compared with brisk walkers, slow walkers had a multivariable-adjusted HR of 1.98 (95% CI 1.58, 2.47) for composite diabetic microvascular complications, 1.54 (95% CI 1.11, 2.14) for diabetic retinopathy, 3.26 (95% CI 2.08, 5.11) for diabetic neuropathy, and 2.32 (95% CI 1.91, 2.82) for diabetic nephropathy. Average walking pace was associated with a higher risk for diabetic nephropathy (HR 1.51, 95 CI% 1.27-1.79) compared with brisk walking. Additionally, ≥1 diabetic microvascular complication occurred in 447 (14.7%) of participants with brisk walking pace, 1702 (19.5%) with average walking pace, and 831 (30.4%) with slow walking pace. Time from study recruitment to first diagnosis was shorter in participants who reported a slow walking pace, compared with brisk or average walkers. Among participants who had diabetic nephropathy as their first diagnosis, slow walking pace was associated with subsequent risk of a second diabetic microvascular complication (HR 3.88, 95 CI% 2.27-6.60). CONCLUSIONS Self-reported slow walking pace is associated with a higher risk of diabetic microvascular complications among participants with T2D in this population-based cohort study.
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Affiliation(s)
- Xinyu Zhu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Xinyu Zhang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Chuandi Zhou
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Bo Li
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Yikeng Huang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Chenxin Li
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Chufeng Gu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Mingming Ma
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Shuzhi Zhao
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Ying Fan
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Xun Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Jian Chang
- Shanghai General Hospital, Shanghai Jiao Tong University School of Nursing, Shanghai, China
| | - Haibing Chen
- Department of Endocrinology and Metabolism, Shanghai 10th People's Hospital, Tongji University, Shanghai, China
| | - Zhi Zheng
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
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Liu J, Shang X, Chen Y, Tang W, Yusufu M, Chen Z, Chen R, Hu W, Jan C, Li L, He M, Zhu Z, Zhang L. Diet-Wide Association Study for the Incidence of Type 2 Diabetes Mellitus in Community-Dwelling Adults Using the UK Biobank Data. Nutrients 2023; 16:103. [PMID: 38201933 PMCID: PMC10780379 DOI: 10.3390/nu16010103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/30/2023] [Accepted: 12/07/2023] [Indexed: 01/12/2024] Open
Abstract
This longitudinal study used diet-wide association studies (DWAS) to investigate the association between diverse dietary food and nutrient intakes and the onset of type 2 diabetes mellitus (T2DM). Out of 502,505 participants from the UK Biobank, 119,040 with dietary data free of T2DM at the baseline were included, and 3241 developed T2DM during a median follow-up of 11.7 years. The DWAS analysis, which is based on Cox regression models, was used to analyse the associations between dietary food or nutrient intake factors and T2DM risk. The study found that 10 out of 225 dietary factors were significantly associated with the T2DM risk. Total alcohol (HR = 0.86, 0.85-0.92, p = 1.26 × 10-32), red wine (HR = 0.89, 0.88-0.94, p = 7.95 × 10-19), and fresh tomatoes (HR = 0.92, 0.89-0.94, p = 2.3 × 10-11) showed a negative association with T2DM risk, whereas sliced buttered bread exhibited a positive association. Additionally, 5 out of 21 nutrient intake variables revealed significant associations with the T2DM risk, with iron having the highest protective effect and starch as a risk factor. In conclusion, DWAS is an effective method for discovering novel associations when exploring numerous dietary variables simultaneously and could provide valuable insight into future dietary guidance for T2DM.
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Affiliation(s)
- Jiahao Liu
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Xianwen Shang
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Yutong Chen
- Faculty of Medicine, Nursing and Health Science, Monash University, Clayton, VIC 3800, Australia;
| | - Wentao Tang
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia;
| | - Mayinuer Yusufu
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Ziqi Chen
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3053, Australia
| | - Ruiye Chen
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Wenyi Hu
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Catherine Jan
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Li Li
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Mingguang He
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
- Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, VIC 3052, Australia
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Lei Zhang
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Department of Nephrology, State Key Laboratory of Reproductive Medicine, Children’s Hospital of Nanjing Medical University, Nanjing 210008, China
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia
- Central Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC 3168, Australia
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Mai Z, Wang S, Chen H, Zhang J, Liu H, Zhao L, Chen Y, Huang R, Zhou H, Chen X, Ding Y, Kong D. Genetically predicted lifestyle factors, socioeconomic status and risk of coronary artery disease in individuals with diabetes: a Mendelian randomization study. Front Public Health 2023; 11:1284958. [PMID: 38186695 PMCID: PMC10771329 DOI: 10.3389/fpubh.2023.1284958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/04/2023] [Indexed: 01/09/2024] Open
Abstract
Background This study explores the causal links between genetically predicted lifestyle factors, socioeconomic status, and coronary artery disease (CAD) risk in individuals with diabetes using a bidirectional Mendelian-randomization approach. Methods This study explored the potential causal relationships of lifestyle factors and socioeconomic status with the risk of CAD in diabetes patients by a bidirectional, two-sample Mendelian-randomization (MR) analysis. Results Genetically predicted smoking initiation (p = 0.005, 95% CI: 1.08-1.55) and insomnia (p = 0.001, 95% CI: 1.06-1.29) were associated with a higher risk of CAD in individuals with diabetes, whereas educational attainment (p = 0.0001, 95% CI: 0.47-0.78) was associated with a lower risk of CAD. The lifetime smoking index (p = 0.016, 95% CI: 1.12-3.03) was suggestively associated with a higher risk of CAD, while household income before taxes (p = 0.048, 95% CI: 0.41-1.00) was suggestively associated with a lower risk of CAD. In addition, we observed a suggestive negative association between the genetically predicted risk of CAD and the lifetime smoking index (p = 0.016, 95% CI: 0.98-0.99) and a significant causal relationship between the risk of CAD and household income before taxes (p = 0.006, 95% CI: 0.97-0.99). Conclusion The results of this study provide evidence that smoking initiation, lifetime smoking index and insomnia are associated with an increased risk of CAD in individuals with diabetes, educational attainment and household income before taxes are associated with a reduced risk of CAD in individuals with diabetes, and the possible role of lifetime smoking index and household income before taxes on the risk of CAD in individuals with diabetes. It provides an opportunity for the prevention and management of CAD in individuals with diabetes.
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Affiliation(s)
- Zhenhua Mai
- Department of Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
- Department of Epidemiology and Medical Statistics School of Public Health, Guangdong Medical University, Dongguan, China
| | - Shuang Wang
- Department of Epidemiology and Medical Statistics School of Public Health, Guangdong Medical University, Dongguan, China
| | - Hao Chen
- Department of Epidemiology and Medical Statistics School of Public Health, Guangdong Medical University, Dongguan, China
| | - Jingjing Zhang
- Department of Epidemiology and Medical Statistics School of Public Health, Guangdong Medical University, Dongguan, China
| | - Hao Liu
- Department of Epidemiology and Medical Statistics School of Public Health, Guangdong Medical University, Dongguan, China
| | - Le Zhao
- Department of Epidemiology and Medical Statistics School of Public Health, Guangdong Medical University, Dongguan, China
| | - Yongze Chen
- Department of Epidemiology and Medical Statistics School of Public Health, Guangdong Medical University, Dongguan, China
- Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Ruixian Huang
- Department of Epidemiology and Medical Statistics School of Public Health, Guangdong Medical University, Dongguan, China
| | - Hao Zhou
- Department of Hospital Infection Management of Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaoming Chen
- Department of Endocrinology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Yuanlin Ding
- Department of Epidemiology and Medical Statistics School of Public Health, Guangdong Medical University, Dongguan, China
| | - Danli Kong
- Department of Epidemiology and Medical Statistics School of Public Health, Guangdong Medical University, Dongguan, China
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Li R, Geng T, Li L, Lu Q, Li R, Chen X, Ou Y, Liu S, Lin X, Tian Q, Qiu Z, Zhu K, Tang Z, Yang K, Pan A, Liu G. Associations of Glucose Metabolism Status with Brain Macrostructure and Microstructure: Findings from the UK Biobank. J Clin Endocrinol Metab 2023; 109:e234-e242. [PMID: 37497611 DOI: 10.1210/clinem/dgad442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/11/2023] [Accepted: 07/26/2023] [Indexed: 07/28/2023]
Abstract
CONTEXT Evidence linking glucose metabolism status with brain macro- and microstructure is limited and inconsistent. OBJECTIVE We aim to investigate the associations of glucose metabolism status with brain macrostructure and microstructure, including brain volumes, subcortical gray matter volumes, and white matter microstructural metrics. METHODS This study enrolled 29 251 participants from the UK Biobank. Glucose metabolism status was classified into normal glucose metabolism (NGM), prediabetes, type 2 diabetes (T2D) with HbA1c <7%, and T2D with HbA1c ≥7%. Brain macrostructural metrics included volumes of total and subcortical gray matter, white matter, white matter hyperintensity (WMH), cerebrospinal fluid, and brain stem. Brain microstructural metrics included fractional anisotropy (FA) and mean diffusivity in white matter tracts. Multivariable linear regression models were used to estimate β values and 95% CI. RESULTS After multivariable adjustment including demographic and lifestyle factors, medical history, and total intracranial volume, those with prediabetes had smaller total and subcortical gray matter volumes than participants with NGM, while atrophy of total and subcortical gray matter was more pronounced in those with T2D (all P trend < .05). Moreover, participants with T2D had larger volumes of white matter and WMH (both P trend < .05). For brain microstructure, participants with prediabetes had lower FA values in commissural fibers (β -0.04; 95% CI -0.08, -0.003). Global and tract-specific microstructural abnormalities of white matter were observed in participants with T2D, especially for T2D with HbA1c ≥ 7% (all P trend < .05), except for FA values in projection fibers. CONCLUSION These findings suggest that interventions for hyperglycemia at an earlier stage may help protect brain health.
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Affiliation(s)
- Ruyi Li
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Geng
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Lin Li
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Lu
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rui Li
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xue Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yunjing Ou
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sen Liu
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyu Lin
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qingying Tian
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zixin Qiu
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kai Zhu
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyue Tang
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun Yang
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Liu
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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79
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Goodman MO, Dashti HS, Lane JM, Windred DP, Burns A, Jones SE, Sofer T, Purcell SM, Zhu X, Ollila HM, Kyle SD, Spiegelhalder K, Peker Y, Huang T, Cain SW, Phillips AJK, Saxena R, Rutter MK, Redline S, Wang H. Causal Association Between Subtypes of Excessive Daytime Sleepiness and Risk of Cardiovascular Diseases. J Am Heart Assoc 2023; 12:e030568. [PMID: 38084713 PMCID: PMC10863774 DOI: 10.1161/jaha.122.030568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 10/03/2023] [Indexed: 12/20/2023]
Abstract
BACKGROUND Excessive daytime sleepiness (EDS), experienced in 10% to 20% of the population, has been associated with cardiovascular disease and death. However, the condition is heterogeneous and is prevalent in individuals having short and long sleep duration. We sought to clarify the relationship between sleep duration subtypes of EDS with cardiovascular outcomes, accounting for these subtypes. METHODS AND RESULTS We defined 3 sleep duration subtypes of excessive daytime sleepiness: normal (6-9 hours), short (<6 hours), and long (>9 hours), and compared these with a nonsleepy, normal-sleep-duration reference group. We analyzed their associations with incident myocardial infarction (MI) and stroke using medical records of 355 901 UK Biobank participants and performed 2-sample Mendelian randomization for each outcome. Compared with healthy sleep, long-sleep EDS was associated with an 83% increased rate of MI (hazard ratio, 1.83 [95% CI, 1.21-2.77]) during 8.2-year median follow-up, adjusting for multiple health and sociodemographic factors. Mendelian randomization analysis provided supporting evidence of a causal role for a genetic long-sleep EDS subtype in MI (inverse-variance weighted β=1.995, P=0.001). In contrast, we did not find evidence that other subtypes of EDS were associated with incident MI or any associations with stroke (P>0.05). CONCLUSIONS Our study suggests the previous evidence linking EDS with increased cardiovascular disease risk may be primarily driven by the effect of its long-sleep subtype on higher risk of MI. Underlying mechanisms remain to be investigated but may involve sleep irregularity and circadian disruption, suggesting a need for novel interventions in this population.
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Affiliation(s)
- Matthew O. Goodman
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Broad InstituteCambridgeMA
| | - Hassan S. Dashti
- Broad InstituteCambridgeMA
- Center for Genomic MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMA
- Department of Anesthesia, Critical Care and Pain MedicineMassachusetts General HospitalBostonMA
| | - Jacqueline M. Lane
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Broad InstituteCambridgeMA
- Center for Genomic MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMA
| | - Daniel P. Windred
- School of Psychological SciencesTurner Institute for Brain and Mental Health, Monash UniversityMelbourneVictoriaAustralia
| | - Angus Burns
- Broad InstituteCambridgeMA
- Center for Genomic MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMA
- School of Psychological SciencesTurner Institute for Brain and Mental Health, Monash UniversityMelbourneVictoriaAustralia
| | - Samuel E. Jones
- Institute for Molecular Medicine Finland (FIMM)University of HelsinkiFinland
- University of Exeter Medical SchoolExeterUnited Kingdom
| | - Tamar Sofer
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Department of BiostatisticsHarvard T.H. Chan School of Public HealthBostonMA
| | - Shaun M. Purcell
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Broad InstituteCambridgeMA
- Department of PsychiatryBrigham and Women’s HospitalBostonMA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health SciencesCase Western Reserve UniversityClevelandOH
| | - Hanna M. Ollila
- Broad InstituteCambridgeMA
- Center for Genomic MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMA
- Department of Anesthesia, Critical Care and Pain MedicineMassachusetts General HospitalBostonMA
- Institute for Molecular Medicine Finland (FIMM)University of HelsinkiFinland
| | - Simon D. Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical NeurosciencesUniversity of OxfordUnited Kingdom
| | - Kai Spiegelhalder
- Department of Psychiatry and PsychotherapyMedical Centre–University of Freiburg, Faculty of Medicine, University of FreiburgFreiburgGermany
| | - Yuksel Peker
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Department of Pulmonary MedicineKoç University School of MedicineIstanbulTurkey
- Sahlgrenska AcademyUniversity of GothenburgSweden
- Department of Clinical Sciences, Respiratory Medicine and Allergology, Faculty of MedicineLund UniversityLundSweden
- Division of Pulmonary, Allergy, and Critical Care MedicineUniversity of Pittsburgh School of MedicinePittsburghPA
| | - Tianyi Huang
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Channing Division of Network MedicineBrigham and Women’s Hospital, Harvard Medical SchoolBostonMA
| | - Sean W. Cain
- School of Psychological SciencesTurner Institute for Brain and Mental Health, Monash UniversityMelbourneVictoriaAustralia
| | - Andrew J. K. Phillips
- School of Psychological SciencesTurner Institute for Brain and Mental Health, Monash UniversityMelbourneVictoriaAustralia
| | - Richa Saxena
- Broad InstituteCambridgeMA
- Center for Genomic MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMA
- Department of Anesthesia, Critical Care and Pain MedicineMassachusetts General HospitalBostonMA
| | - Martin K. Rutter
- Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and HealthUniversity of ManchesterManchesterUnited Kingdom
- Diabetes, Endocrinology and Metabolism CentreManchester University NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science CentreManchesterUnited Kingdom
| | - Susan Redline
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
| | - Heming Wang
- Division of Sleep and Circadian DisordersBrigham and Women’s HospitalBostonMA
- Department of Neurology and MedicineHarvard Medical School, Brigham and Women’s HospitalBostonMA
- Broad InstituteCambridgeMA
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Gan X, Zhang Y, He P, Ye Z, Zhou C, Liu M, Yang S, Zhang Y, Qin X. Positive association between ambient air pollutants and incident kidney stones. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:124067-124077. [PMID: 37996579 DOI: 10.1007/s11356-023-31136-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023]
Abstract
We aimed to assess the association between exposure to various air pollutants, individually or jointly, and incident kidney stones, and examine whether genetic susceptibility for kidney stones may modify this association. 453,977 participants without prior kidney stones from the UK Biobank were included. Annual mean concentrations of PM2.5, PM2.5-10, PM10, NO2, and NOx were estimated with a land use regression model. A weighted air pollution score was constructed that incorporates the five pollutants mentioned above. A genetic risk score (GRS) was calculated based on 20 single-nucleotide polymorphisms associated with kidney stones. The primary outcome was incident kidney stones. During a median follow-up of 11.9 years, 5,375 kidney stones were recorded. The adjusted HRs (95%CI) of incident kidney stones were 1.04 (1.01-1.07), 1.02 (1.00-1.05), 1.03 (1.01-1.06), 1.05 (1.02-1.08), and 1.04 (1.01-1.07), for per standard deviation (SD) increment in PM2.5 (SD:1.06 μg/m3), PM2.5-10 (SD:0.90 μg/m3), PM10 (SD:1.90 μg/m3), NO2 (SD:7.63 μg/m3), and NOx (SD: 15.63 μg/m3), respectively. Moreover, there was a significantly linear association between the air pollution score and incident kidney stones (per SD increment: HR, 1.05, 95%CI: 1.02-1.08), especially in those without diabetes (vs. participants with diabetes; P-interaction = 0.037). In addition, the association between air pollution and kidney stones was statistically significant only in participants within intermediate-high kidney stone GRS, but not in those with low GRS kidney stone, though the interaction was not significant (P-interaction = 0.385). In conclusion, exposure to air pollution was associated with a higher risk of incident kidney stones, calling for the need to improve air quality.
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Affiliation(s)
- Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China.
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81
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Gan X, He P, Ye Z, Zhou C, Liu M, Yang S, Zhang Y, Zhang Y, Qin X. Adherence to a healthy sleep pattern and new-onset acute kidney injury. Sleep Health 2023; 9:977-983. [PMID: 37923669 DOI: 10.1016/j.sleh.2023.09.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 09/16/2023] [Accepted: 09/21/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVES To investigate the prospective association of individual sleep characteristics and a healthy sleep pattern with new-onset acute kidney injury in general population. METHODS The UK Biobank enrolled over 500,000 participants, aged 37-73years, across the UK from 2006 to 2010. Of these, 375,216 participants were included in the current study. A healthy sleep score, ranging from 0 to 5 points, was created by combining five major sleep characteristics, including sleep duration, chronotype, insomnia, snoring, and daytime sleepiness. New-onset acute kidney injury was defined by ICD-10 code N17, ascertained by primary care data, hospital inpatient data, death register records, or self-reported medical conditions. RESULTS During a median follow-up period of 12.0years, 14,492 (3.9%) participants developed acute kidney injury. Overall, the healthy sleep score was significantly inversely associated with the risk of new-onset acute kidney injury (per 1-point increment; hazards ratio, 0.95; 95%CI, 0.93-0.97), especially in nondiabetes (hazards ratio, 0.94; 95%CI, 0.92-0.96; vs. diabetes, hazards ratio, 1.01; 95%CI, 0.96-1.05; P-interaction=.008). The genetic predisposition of estimated glomerular filtration rate and acute kidney injury did not significantly modify the association between the healthy sleep score and acute kidney injury (both P-interactions >.05). Sleep 7-8 hours per day (vs. <7 hours or ≥9 hours; hazards ratio, 0.92; 95%CI, 0.88-0.96), early chronotype (vs. evening chronotype; hazards ratio, 0.93; 95%CI, 0.89-0.97), never or rarely insomnia (vs. sometimes/usually insomnia; hazards ratio, 0.93; 95%CI, 0.88-0.97) and no frequent daytime sleepiness (vs. often/always daytime sleepiness; hazards ratio, 0.90; 95%CI, 0.81-0.99) were significantly associated with a lower risk of new-onset acute kidney injury. CONCLUSIONS A healthy sleep pattern was significantly associated with a lower risk of new-onset acute kidney injury, regardless of the genetic risks.
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Affiliation(s)
- Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
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82
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Wu E, Bao YY, Wei GF, Wang W, Xu HQ, Chen JY, Xu YN, Han D, Tao L, Ni JT. Association of tea and coffee consumption with the risk of all-cause and cause-specific mortality among individuals with metabolic syndrome: a prospective cohort study. Diabetol Metab Syndr 2023; 15:241. [PMID: 37993869 PMCID: PMC10666405 DOI: 10.1186/s13098-023-01222-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/15/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND The relationship between tea and coffee consumption and mortality among patients with metabolic syndrome (MetS) remains barely explored. Herein, this study aimed to examine the association between tea and coffee consumption and the likelihood of all-cause and cause-specific mortality in patients with MetS. METHODS A total of 118,872 participants with MetS at baseline from the UK Biobank cohort were included. Information on tea and coffee consumption was obtained during recruitment using a touchscreen questionnaire. Hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality were determined using Cox proportional hazards models. RESULTS During a median follow-up of 13.87 years, 13,666 deaths were recorded, with 5913, 3362, and 994 deaths from cancer, cardiovascular diseases (CVD), and respiratory disease (RD), respectively. This research showed a significant inverse association between tea intake and the risk of all-cause and cancer mortality, the respective HRs (95% CI) for consuming tea 2 vs. 0 cup/day were 0.89 (0.84-0.95), and 0.91 (0.83-0.99), and tea intake ≥ 4 cups/day could reduce CVD mortality by 11% (HR 0.89; 95% CI 0.81-0.98). The U-shaped nonlinear association between coffee intake and all-cause/CVD mortality was examined (all p-nonlinear < 0.001). The HRs (95% CI) for coffee consumption 1 vs. 0 cup/day were 0.93 (0.89-0.98) and 0.89 (0.80-0.99), and for ≥ 4 vs. 0 cup/day were 1.05 (1.01-1.11) and 1.13 (1.03-1.25), respectively. Notably, the combined intake of tea and coffee presented a protective effect against all-cause mortality (HR < 1). CONCLUSIONS The importance of daily tea and moderate coffee consumption in individuals with MetS to optimise health benefits are highlighted.
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Affiliation(s)
- E Wu
- Rehabilitation and Nursing School, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, 310018, China
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
| | - Ying-Ying Bao
- Women's Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang, 310006, China
| | - Guo-Fang Wei
- Rehabilitation and Nursing School, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, 310018, China
| | - Wei Wang
- Rehabilitation and Nursing School, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, 310018, China
| | - Hong-Quan Xu
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China
| | - Jia-Yin Chen
- Rehabilitation and Nursing School, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, 310018, China
| | - Ya-Nan Xu
- Rehabilitation and Nursing School, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, 310018, China
| | - Dan Han
- Rehabilitation and Nursing School, Hangzhou Vocational & Technical College, Hangzhou, Zhejiang, 310018, China.
| | - Lin Tao
- School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
| | - Jun-Tao Ni
- Women's Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang, 310006, China.
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83
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Li R, Chen JX, Lu Q, Geng TT, Xia PF, Wang Y, Chen LK, Shan ZL, Pan A, Liu G. Associations of lipoprotein subclasses with risk of all-cause and cardiovascular disease mortality in individuals with type 2 diabetes: A prospective cohort study. Diabetes Obes Metab 2023; 25:3259-3267. [PMID: 37492984 DOI: 10.1111/dom.15224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/29/2023] [Accepted: 07/10/2023] [Indexed: 07/27/2023]
Abstract
AIM Although lipoproteins are well-established risk factors for cardiovascular disease (CVD) mortality, conventional measurements failed to identify lipoprotein particle sizes. This study aimed to investigate associations of lipoprotein subclasses categorized by particle sizes with risk of all-cause and CVD mortality in individuals with type 2 diabetes. METHODS This study included 6575 individuals with type 2 diabetes from the UK Biobank. Concentrations of very low-, low-, intermediate- and high-density lipoprotein [very-low-density lipoprotein (VLDL), low-density lipoprotein (LDL), intermediate-density lipoprotein and high-density lipoprotein (HDL)] particles in 14 subclasses and lipid constituents within each subclass were measured by quantitative nuclear magnetic resonance. Multivariable-adjusted Cox proportional-hazard regression models were used to estimate the hazard ratio (HR) for per standard deviation increment of log-transformed lipoprotein subclasses with risk of mortality. All p-values were adjusted by the false discovery rate method. RESULTS During a median follow-up of 11.4 years, 943 deaths were documented, including 310 CVD deaths. Small HDL particles were inversely associated with CVD mortality, with HR (95% CI) of 0.78 (0.69, 0.87), whereas very large and large HDL particles were positively associated with CVD mortality with HR (95% CI) of 1.28 (1.12, 1.45) and 1.19 (1.05, 1.35), respectively. A similar pattern was observed for all-cause mortality [small HDL particle (HR, 95% CI): 0.79, 0.74-0.85; large HDL particle: 1.15, 1.07-1.24; very large HDL particle: 1.26, 1.17-1.36]. For VLDL and LDL, very small VLDL particle was positively, while medium LDL particle was inversely associated with all-cause mortality, but not associated with CVD mortality. The pattern of association with all-cause and CVD mortality for cholesterol and triglyceride within lipoprotein particles was similar to those for lipoprotein particles themselves. CONCLUSIONS The associations between lipoprotein particles, particularly HDL particles, with all-cause and CVD mortality among patients with type 2 diabetes were significantly varied by particle sizes, highlighting the importance of particle size as a lipoprotein metric in mortality risk discrimination.
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Affiliation(s)
- Rui Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun-Xiang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ting-Ting Geng
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng-Fei Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liang-Kai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhi-Lei Shan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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84
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Chung HF, Dobson AJ, Hayashi K, Hardy R, Kuh D, Anderson DJ, van der Schouw YT, Greenwood DC, Cade JE, Demakakos P, Brunner EJ, Eastwood SV, Sandin S, Weiderpass E, Mishra GD. Ethnic Differences in the Association Between Age at Natural Menopause and Risk of Type 2 Diabetes Among Postmenopausal Women: A Pooled Analysis of Individual Data From 13 Cohort Studies. Diabetes Care 2023; 46:2024-2034. [PMID: 37747341 PMCID: PMC10696407 DOI: 10.2337/dc23-1209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/19/2023] [Indexed: 09/26/2023]
Abstract
OBJECTIVE To investigate associations between age at natural menopause, particularly premature ovarian insufficiency (POI) (natural menopause before age 40 years), and incident type 2 diabetes (T2D) and identify any variations by ethnicity. RESEARCH DESIGN AND METHODS We pooled individual-level data of 338,059 women from 13 cohort studies without T2D before menopause from six ethnic groups: White (n = 177,674), Chinese (n = 146,008), Japanese (n = 9,061), South/Southeast Asian (n = 2,228), Black (n = 1,838), and mixed/other (n = 1,250). Hazard ratios (HRs) of T2D associated with age at menopause were estimated in the overall sample and by ethnicity, with study as a random effect. For each ethnic group, we further stratified the association by birth year, education level, and BMI. RESULTS Over 9 years of follow-up, 20,064 (5.9%) women developed T2D. Overall, POI (vs. menopause at age 50-51 years) was associated with an increased risk of T2D (HR 1.31; 95% CI 1.20-1.44), and there was an interaction between age at menopause and ethnicity (P < 0.0001). T2D risk associated with POI was higher in White (1.53; 1.36-1.73), Japanese (4.04; 1.97-8.27), and Chinese women born in 1950 or later (2.79; 2.11-3.70); although less precise, the risk estimates were consistent in women of South/Southeast Asian (1.46; 0.89-2.40), Black (1.72; 0.95-3.12), and mixed/other (2.16; 0.83-5.57) ethnic groups. A similar pattern, but with a smaller increased risk of T2D, was observed with early menopause overall (1.16; 1.10-1.23) and for White, Japanese, and Chinese women born in 1950 or later. CONCLUSIONS POI and early menopause are risk factors for T2D in postmenopausal women, with considerable variation across ethnic groups, and may need to be considered in risk assessments of T2D among women.
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Affiliation(s)
- Hsin-Fang Chung
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
| | - Annette J. Dobson
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
| | - Kunihiko Hayashi
- School of Health Sciences, Gunma University, Maebashi City, Gunma, Japan
| | - Rebecca Hardy
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, U.K
| | - Diana Kuh
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, U.K
| | - Debra J. Anderson
- Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Darren C. Greenwood
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, U.K
| | - Janet E. Cade
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, U.K
| | - Panayotes Demakakos
- Department of Epidemiology and Public Health, University College London, London, U.K
| | - Eric J. Brunner
- Department of Epidemiology and Public Health, University College London, London, U.K
| | - Sophie V. Eastwood
- Medical Research Council Unit for Lifelong Health and Ageing, University College London, London, U.K
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Gita D. Mishra
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
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85
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Li G, Jankowich MD, Wu L, Lu Y, Shao L, Lu X, Fan Y, Pan CW, Wu Y, Ke C. Preserved Ratio Impaired Spirometry and Risks of Macrovascular, Microvascular Complications and Mortality Among Individuals With Type 2 Diabetes. Chest 2023; 164:1268-1280. [PMID: 37356807 DOI: 10.1016/j.chest.2023.05.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 05/21/2023] [Accepted: 05/22/2023] [Indexed: 06/27/2023] Open
Abstract
BACKGROUND The prospective associations of preserved ratio impaired spirometry (PRISm) with new-onset macrovascular and microvascular complications and mortality among individuals with type 2 diabetes (T2D) and whether PRISm enhances the prediction ability of an established office-based risk score remain to be elucidated. RESEARCH QUESTION Can PRISm be used as a predictor of poor prognosis in individuals with T2D? STUDY DESIGN AND METHODS We included 20,047 study participants with T2D and complete data on spirometry at recruitment from the UK Biobank cohort. Multivariable Cox proportional hazards models were used to assess the associations of baseline PRISm (FEV1 to FVC ratio, ≥ 0.70; FEV1, < 80% predicted) with subsequent risks of incident stroke (any type), ischemic stroke, myocardial infarction, unstable angina, coronary heart disease, diabetic retinopathy, diabetic kidney disease, all-cause mortality, cardiovascular mortality, and respiratory mortality. RESULTS For this cohort analysis, 4,521 patients (22.55% of participants with T2D) showed comorbid PRISm at baseline. Over a median follow-up of 11.52 to 11.87 years, patients with T2D with PRISm at baseline showed higher risks than those with normal spirometry findings of various T2D complications developing and mortality; the adjusted hazard ratios for PRISm were 1.413 (95% CI, 1.187-1.681) for stroke (any type), 1.382 (95% CI, 1.129-1.690) for ischemic stroke, 1.253 (95% CI, 1.045-1.503) for myocardial infarction, 1.206 (95% CI, 1.086-1.339) for coronary heart disease, 1.311 (95% CI, 1.141-1.506) for diabetic retinopathy, 1.384 (95% CI, 1.190-1.610) for diabetic kidney disease, 1.337 (95% CI, 1.213-1.474) for all-cause mortality, 1.597 (95% CI, 1.296-1.967) for cardiovascular mortality, and 1.559 (95% CI, 1.189-2.044) for respiratory mortality, respectively. The addition of PRISm significantly improved the reclassification ability, based on the net reclassification index, of an office-based risk score by 15.53% (95% CI, 10.14%-19.63%) to 33.60% (95% CI, 20.90%-45.79%). INTERPRETATION Individuals with T2D with comorbid PRISm, accounting for a considerable proportion of the population with T2D, showed significantly increased risks of adverse macrovascular and microvascular complications and mortality.
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Affiliation(s)
- Guochen Li
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Matthew D Jankowich
- Providence VA Medical Center, Providence, RI; Division of Pulmonary, Critical Care, and Sleep Medicine, Alpert Medical School of Brown University, Providence, RI
| | - Luying Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Yanqiang Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Liping Shao
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Xujia Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Yulong Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Chen-Wei Pan
- School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Ying Wu
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Chaofu Ke
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China.
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86
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Huang Y, Zhang X, Li B, Zhu X, Li C, Zhou C, Gu C, Wang Y, Ma M, Fan Y, Xu X, Chen H, Zheng Z. Association of BMI and waist circumference with diabetic microvascular complications: A prospective cohort study from the UK Biobank and Mendelian randomization analysis. Diabetes Res Clin Pract 2023; 205:110975. [PMID: 37884062 DOI: 10.1016/j.diabres.2023.110975] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/11/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023]
Abstract
AIMS To investigate the precise association between BMI and waist circumference (WC) and diabetic complications, including retinopathy (DR), nephropathy (DN) and peripheral neuropathy (DPN). METHODS A multivariable-adjusted Cox proportional hazard model was used to evaluate the observed association from 30,541 UK Biobank participants with diabetes. A two-sample Mendelian randomization (MR) framework was applied to summary-level GWASs of BMI and WC comprising a total of 461,460 and 462,166 participants from UK Biobank to explore the potential causal association. RESULTS Higher BMI and WC were associated with increased risks of DR, DN, and DPN (HR (95% CI), per-SD increase: BMI: DR 1.09 (1.04-1.13), DN 1.37 (1.33-1.41), DPN 1.27 (1.20-1.34); WC: DR 1.11 (1.07-1.16), DN 1.41 (1.36-1.46), DPN 1.38 (1.30-1.45)) in the UK Biobank cohort. Univariate MR indicated that increased BMI and WC were causal risk factors for these complications (OR (95% CI), per-SD increase: BMI: DR 1.33 (1.22-1.45), DN 1.74 (1.47-2.07), DPN 2.20 (1.67-2.90); WC: DR 1.43 (1.27-1.61), DN 2.03 (1.62-2.55), DPN 2.80 (1.99-3.92)), and the effect sizes remained significant after adjustment for glycated hemoglobin. CONCLUSIONS Prospective observational and MR analyses provided evidence that high BMI and WC may represent potential causal risk factors for diabetic microvascular complications. Weight control might modify the risks of these complications independently of glycemic control and should be considered as a therapeutic recommendation.
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Affiliation(s)
- Yikeng Huang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China
| | - Xinyu Zhang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China
| | - Bo Li
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China
| | - Xinyu Zhu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China
| | - Chenxin Li
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China
| | - Chuandi Zhou
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China
| | - Chufeng Gu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China
| | - Yujie Wang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China
| | - Mingming Ma
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China
| | - Ying Fan
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China
| | - Xun Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China.
| | - Haibing Chen
- Department of Endocrinology and Metabolism, Shanghai 10th People's Hospital, Tongji University, 301 Middle Yanchang Road, Jingan District, Shanghai 200072, China.
| | - Zhi Zheng
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases, Shanghai Clinical Research Center for Eye Diseases, Shanghai Key Clinical Specialty, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, 100 Haining Road, Hongkou District, Shanghai 200080, China.
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87
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Xiong S, Hou N, Tang F, Li J, Deng H. Association of cardiometabolic multimorbidity and adherence to a healthy lifestyle with incident dementia: a large prospective cohort study. Diabetol Metab Syndr 2023; 15:208. [PMID: 37876001 PMCID: PMC10594816 DOI: 10.1186/s13098-023-01186-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 10/09/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND The co-occurrence of cardiometabolic diseases (CMDs) is increasingly prevalent and has been associated with an additive risk of dementia in older adults, but the extent to which this risk can be offset by a healthy lifestyle is unknown. We aimed to examine the associations of cardiometabolic multimorbidity and lifestyle with incident dementia and related brain structural changes. METHODS This prospective study extracted health and lifestyle data from 171 538 UK Biobank participants aged 60 years or older without dementia at baseline between 2006 and 2010 and followed up until July 2021, as well as brain structural data in a nested imaging subsample of 11 972 participants. Cardiometabolic multimorbidity was defined as the presence of two or more CMDs among type 2 diabetes, coronary heart disease, stroke, and hypertension. Lifestyle patterns were determined based on 7 modifiable lifestyle factors including smoking, alcohol consumption, physical activity, diet, sleep duration, sedentary behavior, and social contact. RESULTS Over a median follow-up of 12.3 years, 4479 (2.6%) participants developed dementia. The presence of CMDs was dose-dependently associated with an increased risk of dementia. Compared with participants with no CMDs and a favourable lifestyle, those with ≥ 3 CMDs and an unfavourable lifestyle had a five times greater risk of developing dementia (HR 5.33, 95% CI 4.26-6.66). A significant interaction was found between CMD status and lifestyle (Pinteraction=0.001). The absolute difference in incidence rates of dementia per 1000 person years comparing favourable versus unfavourable lifestyle was - 0.65 (95% CI - 1.02 to - 0.27) among participants with no CMDs and - 5.64 (- 8.11 to - 3.17) among participants with ≥ 3 CMDs, corresponding to a HR of 0.71 (0.58-0.88) and 0.42 (0.28-0.63), respectively. In the imaging subsample, a favourable lifestyle was associated with larger total brain, grey matter, and hippocampus volumes across CMD status. CONCLUSION Our findings suggest that adherence to a healthy lifestyle might substantially attenuate dementia risk and adverse brain structural changes associated with cardiometabolic multimorbidity.
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Affiliation(s)
- Sizheng Xiong
- Department of Vascular Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
| | - Ningxin Hou
- Division of Cardiovascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feifei Tang
- Department of Cardiovascular Surgery, Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Li
- Division of Cardiovascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongping Deng
- Department of Vascular Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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88
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Melchiorsen JU, Sørensen KV, Bork-Jensen J, Kizilkaya HS, Gasbjerg LS, Hauser AS, Rungby J, Sørensen HT, Vaag A, Nielsen JS, Pedersen O, Linneberg A, Hartmann B, Gjesing AP, Holst JJ, Hansen T, Rosenkilde MM, Grarup N. Rare Heterozygous Loss-of-Function Variants in the Human GLP-1 Receptor Are Not Associated With Cardiometabolic Phenotypes. J Clin Endocrinol Metab 2023; 108:2821-2833. [PMID: 37235780 PMCID: PMC10584003 DOI: 10.1210/clinem/dgad290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 05/04/2023] [Accepted: 05/22/2023] [Indexed: 05/28/2023]
Abstract
CONTEXT Lost glucagon-like peptide 1 receptor (GLP-1R) function affects human physiology. OBJECTIVE This work aimed to identify coding nonsynonymous GLP1R variants in Danish individuals to link their in vitro phenotypes and clinical phenotypic associations. METHODS We sequenced GLP1R in 8642 Danish individuals with type 2 diabetes or normal glucose tolerance and examined the ability of nonsynonymous variants to bind GLP-1 and to signal in transfected cells via cyclic adenosine monophosphate (cAMP) formation and β-arrestin recruitment. We performed a cross-sectional study between the burden of loss-of-signaling (LoS) variants and cardiometabolic phenotypes in 2930 patients with type 2 diabetes and 5712 participants in a population-based cohort. Furthermore, we studied the association between cardiometabolic phenotypes and the burden of the LoS variants and 60 partly overlapping predicted loss-of-function (pLoF) GLP1R variants found in 330 566 unrelated White exome-sequenced participants in the UK Biobank cohort. RESULTS We identified 36 nonsynonymous variants in GLP1R, of which 10 had a statistically significant loss in GLP-1-induced cAMP signaling compared to wild-type. However, no association was observed between the LoS variants and type 2 diabetes, although LoS variant carriers had a minor increased fasting plasma glucose level. Moreover, pLoF variants from the UK Biobank also did not reveal substantial cardiometabolic associations, despite a small effect on glycated hemoglobin A1c. CONCLUSION Since no homozygous LoS nor pLoF variants were identified and heterozygous carriers had similar cardiometabolic phenotype as noncarriers, we conclude that GLP-1R may be of particular importance in human physiology, due to a potential evolutionary intolerance of harmful homozygous GLP1R variants.
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Affiliation(s)
- Josefine U Melchiorsen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Kimmie V Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Hüsün S Kizilkaya
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Lærke S Gasbjerg
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Alexander S Hauser
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark
| | - Jørgen Rungby
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University, Aarhus 8800, Denmark
- Department of Epidemiology, Boston University, Boston, MA 02118, USA
| | - Allan Vaag
- Steno Diabetes Center Copenhagen, Herlev Hospital, Herlev 2730, Denmark
| | - Jens S Nielsen
- Steno Diabetes Center Odense, Odense University Hospital, Odense 5000, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, Hellerup 2900, Denmark
| | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
- Center for Clinical Research and Prevention, Copenhagen University Hospital—Bispebjerg and Frederiksberg, Frederiksberg 2000, Denmark
| | - Bolette Hartmann
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Anette P Gjesing
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Jens J Holst
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Mette M Rosenkilde
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
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89
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Forsyth L, Aman A, Cullen B, Graham N, Lyall DM, Lyall LM, Pell JP, Ward J, Smith DJ, Strawbridge RJ. Genetic architecture of DCC and influence on psychological, psychiatric and cardiometabolic traits in multiple ancestry groups in UK Biobank. J Affect Disord 2023; 339:943-953. [PMID: 37487843 DOI: 10.1016/j.jad.2023.07.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 06/28/2023] [Accepted: 07/08/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND People with severe mental illness have a higher risk of cardiometabolic disease than the general population. Traditionally attributed to sociodemographic, behavioural factors and medication effects, recent genetic studies have provided evidence of shared biological mechanisms underlying mental illness and cardiometabolic disease. We aimed to determine whether signals in the DCC locus, implicated in psychiatric and cardiometabolic traits, were shared or distinct. METHODS In UK Biobank, we systematically assessed genetic variation in the DCC locus for association with metabolic, cardiovascular and psychiatric-related traits in unrelated "white British" participants (N = 402,837). Logistic or linear regression were applied assuming an additive genetic model and adjusting for age, sex, genotyping chip and population structure. Bonferroni correction for the number of independent variants was applied. Conditional analyses (including lead variants as covariates) and trans-ancestry analyses were used to investigate linkage disequilibrium between signals. RESULTS Significant associations were observed between DCC variants and smoking, anhedonia, body mass index (BMI), neuroticism and mood instability. Conditional analyses and linkage disequilibrium structure suggested signals for smoking and BMI were distinct from each other and the mood traits, whilst individual mood traits were inter-related in a complex manner. LIMITATIONS Restricting analyses in non-"white British" individuals to the phenotypes significant in the "white British" sample is not ideal, but the smaller samples sizes restricted the phenotypes possible to analyse. CONCLUSIONS Genetic variation in the DCC locus had distinct effects on BMI, smoking and mood traits, and therefore is unlikely to contribute to shared mechanisms underpinning mental and cardiometabolic traits.
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Affiliation(s)
- Lewis Forsyth
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK
| | - Alisha Aman
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Breda Cullen
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK
| | - Nicholas Graham
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK
| | - Donald M Lyall
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK
| | - Laura M Lyall
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK
| | - Jill P Pell
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK
| | - Joey Ward
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK
| | - Daniel J Smith
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh E10 5HF, UK
| | - Rona J Strawbridge
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK; Health Data Research, Glasgow G12 8RZ, UK; Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institute, Stockholm 171 76, Sweden.
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90
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Luo M, Yu C, Del Pozo Cruz B, Chen L, Ding D. Accelerometer-measured intensity-specific physical activity, genetic risk and incident type 2 diabetes: a prospective cohort study. Br J Sports Med 2023; 57:1257-1264. [PMID: 37277158 PMCID: PMC10579175 DOI: 10.1136/bjsports-2022-106653] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/26/2023] [Indexed: 06/07/2023]
Abstract
OBJECTIVE Although 30 min/day of moderate-intensity physical activity is suggested for preventing type 2 diabetes (T2D), the current recommendations exclusively rely on self-reports and rarely consider the genetic risk. We examined the prospective dose-response relationships between total/intensity-specific physical activity and incident T2D accounting for and stratified by different levels of genetic risk. METHODS This prospective cohort study was based on 59 325 participants in the UK Biobank (mean age=61.1 years in 2013-2015). Total/intensity-specific physical activity was collected using accelerometers and linked to national registries until 30 September 2021. We examined the shape of the dose-response association between physical activity and T2D incidence using restricted cubic splines adjusted for and stratified by a polygenic risk score (based on 424 selected single nucleotide polymorphisms) using Cox proportional hazards models. RESULTS During a median follow-up of 6.8 years, there was a strong linear dose-response association between moderate-to-vigorous-intensity physical activity (MVPA) and incident T2D, even after adjusting for genetic risk. Compared with the least active participants, the HRs (95% CI) for higher levels of MVPA were: 0.63 (0.53 to 0.75) for 5.3-25.9 min/day, 0.41 (0.34 to 0.51) for 26.0-68.4 min/day and 0.26 (0.18 to 0.38) for >68.4 min/day. While no significant multiplicative interaction between physical activity measures and genetic risk was found, we found a significant additive interaction between MVPA and genetic risk score, suggesting larger absolute risk differences by MVPA levels among those with higher genetic risk. CONCLUSION Participation in physical activity, particularly MVPA, should be promoted especially in those with high genetic risk of T2D. There may be no minimal or maximal threshold for the benefits. This finding can inform future guidelines development and interventions to prevent T2D.
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Affiliation(s)
- Mengyun Luo
- Prevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- School of Public Health, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Chenhao Yu
- School of Public Health, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Borja Del Pozo Cruz
- Centre for Active and Healthy Ageing, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Faculty of Education, University of Cádiz, Cádiz, Spain
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital, University of Cádiz, Cádiz, Spain
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Ding Ding
- Prevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
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91
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Xue P, Tan X, Benedict C. Association of socioeconomic deprivation with sleep health in patients with type 2 diabetes. Diabetes Obes Metab 2023; 25:2937-2943. [PMID: 37340995 DOI: 10.1111/dom.15190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 06/02/2023] [Accepted: 06/08/2023] [Indexed: 06/22/2023]
Abstract
AIMS To investigate the association between socioeconomic deprivation and indicators of sleep health among patients with type 2 diabetes mellitus (T2DM), and additionally, to examine whether socioeconomic deprivation is associated with higher glycated haemoglobin (HbA1c) levels in these patients. MATERIALS AND METHODS We analysed data from the UK Biobank, consisting of 17 206 participants with T2DM, to explore the relationship between socioeconomic deprivation, self-reported indicators of sleep health, and HbA1c levels. Socioeconomic deprivation was assessed using the Townsend deprivation index. Participants were divided into two groups: low socioeconomic deprivation (n = 8604; reference group) and high socioeconomic deprivation (n = 8602). Logistic regression models were employed, adjusting for covariates such as body mass index (BMI), age, and biological sex. RESULTS Patients with high socioeconomic deprivation had higher odds of reporting usual difficulties falling asleep or sleeping through the night (adjusted odds ratio 1.20, 95% confidence interval [CI] 1.12, 1.28), and they were more likely to use at least one hypnotic medication (adjusted odds ratio 1.41, 95% CI 1.09, 1.84). They also had higher odds of reporting snoring and difficulties staying awake during the daytime (adjusted odds ratio 1.09, 95% CI 1.01, 1.18), as well as experiencing short sleep duration (defined as <6 hours of sleep per day; adjusted odds ratio 1.69, 95% CI 1.50, 1.91). Moreover, patients with high socioeconomic deprivation had increased odds of experiencing comorbid sleep problems (P ≤ 0.001). Finally, high socioeconomic deprivation was associated with a 0.1% higher HbA1c level (P < 0.001). Controlling for indicators of poor sleep health did not alter the strength of this association. CONCLUSIONS Socioeconomic deprivation may represent a risk factor for poor sleep health in patients with T2DM.
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Affiliation(s)
- Pei Xue
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Xiao Tan
- Department of Big Data in Health Science, Zhejiang University School of Public Health, Hangzhou, China
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Christian Benedict
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
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92
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Kristensen FPB, Sanchez-Lastra MA, Dalene KE, Del Pozo Cruz B, Ried-Larsen M, Thomsen RW, Ding D, Ekelund U, Tarp J. Leisure-Time Physical Activity and Risk of Microvascular Complications in Individuals With Type 2 Diabetes: A UK Biobank Study. Diabetes Care 2023; 46:1816-1824. [PMID: 37549380 DOI: 10.2337/dc23-0937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 07/20/2023] [Indexed: 08/09/2023]
Abstract
OBJECTIVE The aim of this study was to determine dose-response associations, including the minimal effective level, between leisure-time physical activity and risk of incident neuropathy, nephropathy, and retinopathy. RESEARCH DESIGN AND METHODS This cohort study included 18,092 individuals with type 2 diabetes from the UK Biobank. Self-reported leisure-time physical activity was converted into MET-hours per week. Participants were categorized into no physical activity (0 MET-h/week), below recommendations (0-7.49 MET-h/week), at recommendations (7.5-14.9 MET-h/week), and above recommendations (≥15 MET-h/week). Microvascular complications were identified from hospital inpatient records using diagnosis codes. We used Cox proportional hazards regression analysis to calculate adjusted hazard ratios (aHRs) and restricted cubic splines to identify the minimal effective level of physical activity. RESULTS During a median follow-up of 12.1 years, 672 individuals (3.7%) were diagnosed with neuropathy, 1,839 (10.2%) with nephropathy, and 2,099 (11.7%) with retinopathy. Any level of physical activity was associated with a lower risk of neuropathy and nephropathy but not retinopathy. Compared with those reporting no physical activity, the aHR of neuropathy was 0.71 (95% CI 0.53, 0.90) below recommendations, 0.73 (0.56, 0.96) at recommendations, and 0.67 (0.52, 0.87) above recommendations. Corresponding aHRs for nephropathy were 0.79 (0.68, 0.92), 0.80 (0.67, 0.95), and 0.80 (0.68, 0.95). The association with retinopathy was weaker, with aHRs of 0.91 (0.78, 1.06), 0.91 (0.77, 1.08), and 0.98 (0.84, 1.15), respectively. CONCLUSIONS Any level of leisure-time physical activity was associated with a lower risk of neuropathy and nephropathy but not retinopathy in individuals with type 2 diabetes. For both neuropathy and nephropathy, the minimal effective physical activity level may correspond to <1.5 h of walking per week.
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Affiliation(s)
| | - Miguel Adriano Sanchez-Lastra
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Department of Special Didactics, Faculty of Education and Sports Sciences, University of Vigo, Pontevedra, Spain
- Well-Move Research Group, Galicia Sur Health Research Institute, University of Vigo, Vigo, Spain
| | - Knut Eirik Dalene
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Borja Del Pozo Cruz
- Centre for Active and Healthy Ageing, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Faculty of Education, University of Cádiz, Cádiz, Spain
- Biomedical Research and Innovation Institute of Cádiz Research Unit, Puerta del Mar University Hospital, University of Cádiz, Cádiz, Spain
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Mathias Ried-Larsen
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Centre of Inflammation and Metabolism and Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Reimar Wernich Thomsen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Ding Ding
- Prevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Jakob Tarp
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
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93
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Xue P, Tan X, Benedict C. Association of poor sleep and HbA1c in metformin-treated patients with type 2 diabetes: Findings from the UK Biobank cohort study. J Sleep Res 2023; 32:e13917. [PMID: 37106473 DOI: 10.1111/jsr.13917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/14/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023]
Abstract
The American Diabetes Association recommends a glycated haemoglobin target of less than 7% for treating type 2 diabetes mellitus. However, it is still being determined if poor sleep affects this therapeutic goal, despite being treated with the blood-glucose-lowering medication metformin. Thus, we used data from 5703 patients on metformin monotherapy participating in the UK Biobank baseline investigation between 2006 and 2010. We combined self-reported chronotype, daily sleep duration, insomnia, daytime sleepiness and snoring into a multidimensional poor sleep score ranging from 0 to 5, with higher scores indicating a less healthy sleep pattern. With each point increase on the poor sleep score scale, the odds of patients having an glycated haemoglobin of ≥ 7% increased by 6% (odds ratio [95% confidence interval], 1.06 [1.01, 1.11], p = 0.021). When examining the components of the poor sleep score separately, snoring was specifically associated with a glycated haemoglobin of ≥ 7% (1.12 [1.01, 1.25] versus no snoring, p = 0.038). However, adjusting for health and lifestyle conditions, such as body mass index, weekly physical activity level and hypertension status, eliminated the significant associations between the poor sleep score and snoring with glycated haemoglobin of ≥ 7%. Our findings suggest that poor sleep, specifically snoring, a symptom of obstructive sleep apnea, may interfere with the therapeutic goal of achieving a glycated haemoglobin below 7%. However, other factors known to be promoted by poor sleep, such as high body mass index, low physical activity and hypertension, may also contribute to the link between poor sleep and higher glycated haemoglobin levels.
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Affiliation(s)
- Pei Xue
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Xiao Tan
- Department of Big Data in Health Science, Zhejiang University School of Public Health and Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Christian Benedict
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
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94
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Schroeder P, Mandla R, Huerta-Chagoya A, Alkanak A, Nagy D, Szczerbinski L, Madsen JGS, Cole JB, Porneala B, Westerman K, Li JH, Pollin TI, Florez JC, Gloyn AL, Cebola I, Manning A, Leong A, Udler M, Mercader JM. Rare variant association analysis in 51,256 type 2 diabetes cases and 370,487 controls informs the spectrum of pathogenicity of monogenic diabetes genes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.28.23296244. [PMID: 37808701 PMCID: PMC10557807 DOI: 10.1101/2023.09.28.23296244] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
We meta-analyzed array data imputed with the TOPMed reference panel and whole-genome sequence (WGS) datasets and performed the largest, rare variant (minor allele frequency as low as 5×10-5) GWAS meta-analysis of type 2 diabetes (T2D) comprising 51,256 cases and 370,487 controls. We identified 52 novel variants at genome-wide significance (p<5 × 10-8), including 8 novel variants that were either rare or ancestry-specific. Among them, we identified a rare missense variant in HNF4A p.Arg114Trp (OR=8.2, 95% confidence interval [CI]=4.6-14.0, p = 1.08×10-13), previously reported as a variant implicated in Maturity Onset Diabetes of the Young (MODY) with incomplete penetrance. We demonstrated that the diabetes risk in carriers of this variant was modulated by a T2D common variant polygenic risk score (cvPRS) (carriers in the top PRS tertile [OR=18.3, 95%CI=7.2-46.9, p=1.2×10-9] vs carriers in the bottom PRS tertile [OR=2.6, 95% CI=0.97-7.09, p = 0.06]. Association results identified eight variants of intermediate penetrance (OR>5) in monogenic diabetes (MD), which in aggregate as a rare variant PRS were associated with T2D in an independent WGS dataset (OR=4.7, 95% CI=1.86-11.77], p = 0.001). Our data also provided support evidence for 21% of the variants reported in ClinVar in these MD genes as benign based on lack of association with T2D. Our work provides a framework for using rare variant imputation and WGS analyses in large-scale population-based association studies to identify large-effect rare variants and provide evidence for informing variant pathogenicity.
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Affiliation(s)
- Philip Schroeder
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Ravi Mandla
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine and Cardiovascular Research Institute, Cardiology Division, University of California, San Francisco, CA, USA
| | - Alicia Huerta-Chagoya
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Ahmed Alkanak
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Dorka Nagy
- Section of Genetics and Genomics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- National Heart and Lung Institute, Faculty of Medicine, London, UK
| | - Lukasz Szczerbinski
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, 15-276, Poland
- Clinical Research Centre, Medical University of Bialystok, Bialystok, 15-276, Poland
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Jesper G S Madsen
- Institute of Mathematics and Computer Science, University of Southern Denmark, Odense M, 5230, Denmark
- The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joanne B Cole
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Bianca Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Kenneth Westerman
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Josephine H Li
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Toni I Pollin
- Emory University, Atlanta, Georgia, USA., Atlanta, GA, USA
| | - Jose C Florez
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Anna L Gloyn
- Department of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA, USA
| | - Inês Cebola
- Section of Genetics and Genomics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Alisa Manning
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Aaron Leong
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Miriam Udler
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Josep M Mercader
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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95
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Liu X, Li Y, Ao Y, Zhang L, Zhuang P, Wan X, Wu Y, Zhang Y, Jiao J. Healthy dietary patterns and risk of cardiovascular disease in diabetic patients: a prospective cohort study. Food Funct 2023; 14:8604-8614. [PMID: 37667969 DOI: 10.1039/d3fo01541f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Purpose: Evidence is limited regarding the associations of different dietary patterns with cardiovascular disease (CVD) risk among the population with diabetes. Thus, we aimed to explore the associations between three dietary patterns and CVD incidence among the population with diabetes. Materials and methods: We prospectively followed 22 473 diabetic patients from the UK Biobank at the baseline. The healthy dietary pattern was derived from a food frequency questionnaire; meanwhile, the Alternate Mediterranean Diet (AMED) and the Dietary Approaches to Stop Hypertension (DASH) diet were assessed based on the Oxford WebQ online 24 h dietary questionnaire. Results: During an average of 10.8 years of follow-up, 5209 incident CVD cases, including 3552 coronary heart disease (CHD) events and 881 strokes, were documented. After multivariate adjustment, a higher healthy diet score was negatively associated with CVD, CHD, and stroke incidence. The hazard ratios and 95% confidence intervals across increasing quintiles of healthy diet score were 0.86 (0.79-0.95), 0.83 (0.75-0.93), and 0.71 (0.57-0.88) for CVD, CHD, and stroke, respectively. A similar protective association with CVD incidence was found for the AMED but not the DASH diet. Conclusions: Adherence to healthy dietary patterns is related to a lower risk of developing CVD among diabetic patients. Our findings further provide vigorous evidence for formulating dietary adherence guidelines for diabetic patients to reduce the burden of CVD complications.
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Affiliation(s)
- Xiaohui Liu
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China.
| | - Yin Li
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China.
| | - Yang Ao
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China.
| | - Lange Zhang
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China.
| | - Pan Zhuang
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Xuzhi Wan
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Yuqi Wu
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Yu Zhang
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Jingjing Jiao
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China.
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96
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Zhuang Z, Dong X, Jia J, Liu Z, Huang T, Qi L. Sleep Patterns, Plasma Metabolome, and Risk of Incident Type 2 Diabetes Mellitus. J Clin Endocrinol Metab 2023; 108:e1034-e1043. [PMID: 37084357 DOI: 10.1210/clinem/dgad218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/06/2023] [Accepted: 04/11/2023] [Indexed: 04/23/2023]
Abstract
CONTEXT A healthy sleep pattern has been related to a lower risk of type 2 diabetes mellitus (T2DM). OBJECTIVE We aimed to identify the metabolomic signature for the healthy sleep pattern and assess its potential causality with T2DM. METHODS This study included 78 659 participants with complete phenotypic data (sleep information and metabolomic measurements) from the UK Biobank study. Elastic net regularized regression was applied to calculate a metabolomic signature reflecting overall sleep patterns. We also performed genome-wide association analysis of the metabolomic signature and one-sample mendelian randomization (MR) with T2DM risk. RESULTS During a median of 8.8 years of follow-up, we documented 1489 incident T2DM cases. Compared with individuals who had an unhealthy sleep pattern, those with a healthy sleep pattern had a 49% lower risk of T2DM (multivariable-adjusted hazard ratio [HR], 0.51; 95% CI, 0.40-0.63). We further constructed a metabolomic signature using elastic net regularized regressions that comprised 153 metabolites, and robustly correlated with sleep pattern (r = 0.19; P = 3×10-325). In multivariable Cox regressions, the metabolomic signature showed a statistically significant inverse association with T2DM risk (HR per SD increment in the signature, 0.56; 95% CI, 0.52-0.60). Additionally, MR analyses indicated a significant causal relation between the genetically predicted metabolomic signature and incident T2DM (P for trend < .001). CONCLUSION In this large prospective study, we identified a metabolomic signature for the healthy sleep pattern, and such a signature showed a potential causality with T2DM risk independent of traditional risk factors.
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Affiliation(s)
- Zhenhuang Zhuang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Xue Dong
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jinzhu Jia
- Department of Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Zhonghua Liu
- Department of Biostatistics, Columbia University, New York, NY 10027-6902, USA
| | - Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
- Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing 100191, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70118, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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97
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Ye Z, Liu M, He P, Wu Q, Yang S, Zhang Y, Zhou C, Zhang Y, Gan X, Sun J, Qin X. Various ambient air pollutants, residential green spaces, fibrosis 4 scores, genetic susceptibility, and risk of severe liver disease. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 263:115246. [PMID: 37453269 DOI: 10.1016/j.ecoenv.2023.115246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 07/07/2023] [Accepted: 07/08/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND The relationship of air pollutants and residential exposure to greenspace with severe liver disease remains inconclusive. OBJECTIVE Our objective was to assess the relationship of joint exposure to air pollutants, residential exposure to greenspaces with new-onset severe liver disease. METHODS We included 427,697 participants without prior liver diseases from UK Biobank. A weighted air pollution score was calculated based on PM2.5, PM10, PM2.5-10, NO2, and NOX. The percentage of land coverage by residential greenspaces was estimated using land use data. The primary outcome was new-onset severe liver disease, defined as a composite outcome including hospitalization or death due to compensated or decompensated liver cirrhosis, liver failure, and hepatocellular carcinoma. RESULTS During a median follow-up of 12.0 years, 4572 participants developed severe liver disease. A higher air pollution score was significantly associated with an increased risk of new-onset severe liver disease (per SD increment; adjusted hazard ratio [HR],1.07; 95% confidence interval [CI],1.04-1.10). Moreover, residential greenspace coverage was inversely associated with new-onset severe liver disease (per SD increment; adjusted HR, 0.95; 95% CI,0.92-0.98). Genetic risks of liver cirrhosis did not significantly modify the associations (both P-interactions >0.05). However, we observed a stronger positive association between air pollution scores and new-onset severe liver disease in individuals with higher fibrosis-4 (FIB-4) scores, lower residential greenspaces, hypertension, and smokers (all P-interactions <0.05). Similarly, a more pronounced inverse association between residential exposure to greenspaces and new-onset severe liver disease was found in smokers and individuals with higher FIB-4 scores (both P-interactions<0.05). CONCLUSIONS Our findings suggest a positive association between air pollution scores and the risk of new-onset severe liver disease, while residential greenspaces show an inverse association. These results underscore the importance of maintaining high exposure to green space and reducing air pollution to prevent serious liver disease.
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Affiliation(s)
- Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Qimeng Wu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Jian Sun
- State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; National Clinical Research Center for Kidney Disease, China; State Key Laboratory of Organ Failure Research, China; Guangdong Provincial Institute of Nephrology, China; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China.
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98
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He P, Li H, Ye Z, Liu M, Zhou C, Wu Q, Zhang Y, Yang S, Zhang Y, Qin X. Association of a Healthy Lifestyle, Life's Essential 8 Scores With Incident Macrovascular and Microvascular Disease Among Individuals With Type 2 Diabetes. J Am Heart Assoc 2023; 12:e029441. [PMID: 37609934 PMCID: PMC10547309 DOI: 10.1161/jaha.122.029441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 03/27/2023] [Indexed: 08/24/2023]
Abstract
Background The association of a healthy lifestyle with the prognosis of type 2 diabetes remains uncertain. We aimed to evaluate the associations of a healthy lifestyle and a higher American Heart Association's Life's Essential 8 score with incident macrovascular and microvascular diseases in type 2 diabetes. Methods and Results A total of 13 543 participants with baseline type 2 diabetes and free of macrovascular and microvascular diseases from the UK Biobank were included. A healthy lifestyle was determined based on body mass index, smoking, alcohol consumption, physical activity, sleep duration, and diet. Life's Essential 8 scores were generated from 8 metrics according to the American Heart Association's cardiovascular health advisory, ranging from 0 to 100. During a median follow-up of 12.1 years, 3279 (24.2%) incident macrovascular diseases and 2557 (18.9%) microvascular diseases were documented. Compared with those with a poor lifestyle, participants with an ideal lifestyle had significantly lower risks of incident macrovascular disease (hazard ratio [HR], 0.46 [95% CI, 0.36-0.59]) and microvascular disease (HR, 0.60 [95% CI, 0.47-0.77]). Significantly lower risks of macrovascular disease (HR, 0.20 [95% CI, 0.05-0.79]) and microvascular disease (HR, 0.24 [95% CI, 0.06-0.98]) were also found in the high cardiovascular health group (Life's Essential 8 scores: 80-100), compared to the low cardiovascular health group (scores: 0-49). Adhering to an ideal lifestyle may prevent 37.0% of macrovascular disease and 24.7% of microvascular disease, and attaining a high cardiovascular health may prevent 71.9% of macrovascular disease and 67.5% of microvascular disease. Conclusions A healthy lifestyle and a higher Life's Essential 8 score were associated with lower risks of macrovascular and microvascular diseases among participants with type 2 diabetes.
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Affiliation(s)
- Panpan He
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Huan Li
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Ziliang Ye
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Mengyi Liu
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Chun Zhou
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Qimeng Wu
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Yanjun Zhang
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Sisi Yang
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Yuanyuan Zhang
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Xianhui Qin
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
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Zhang Y, Zhou C, Yang S, Zhang Y, Ye Z, He P, Liu M, Wu Q, Qin X. Association of regular use of ibuprofen and paracetamol, genetic susceptibility, and new-onset dementia in the older population. Gen Hosp Psychiatry 2023; 84:226-233. [PMID: 37633120 DOI: 10.1016/j.genhosppsych.2023.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 08/28/2023]
Abstract
OBJECTIVE Although the possible efficacy and adverse effects of paracetamol and ibuprofen on dementia are of global clinical and public health importance, to date, the relationship of the use of paracetamol and ibuprofen with incident dementia remains uncertain. We aimed to assess the prospective association of regular use of ibuprofen and paracetamol with new-onset dementia in an older population. METHODS This study included 212,968 participants from the UK Biobank, aged ≥60 years, with available data of ibuprofen, paracetamol use and without dementia at baseline. The primary outcome was new-onset all-cause dementia. The secondary outcomes included new-onset Alzheimer's disease and new-onset vascular dementia. RESULTS During a median follow-up of 12.3 years, 6407 (3.0%) participants developed new-onset all-cause dementia. Participants who regularly used paracetamol had a significantly higher risk of new-onset all-cause dementia (adjusted HR, 1.18; 95%CI: 1.10-1.26), compared with non-users. However, there was no significant association between regular use of ibuprofen and new-onset all-cause dementia (users vs. non-users; adjusted HR, 1.06; 95%CI: 0.97-1.16). Furthermore, APOE ε4 dosage and genetic risk scores (GRS) of Alzheimer's disease calculated by 25 single nucleotide polymorphisms did not significantly modify the relationship of regular use of paracetamol and ibuprofen with new-onset all-cause dementia (Both P-interactions >0.05). Similar results were found in the propensity score analysis. Similar findings were also observed for new-onset Alzheimer's disease and new-onset vascular dementia. CONCLUSIONS Regular use of paracetamol, but not ibuprofen, was associated with a significantly higher risk of new-onset dementia in the old population, regardless of genetic risks of dementia.
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Affiliation(s)
- Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Qimeng Wu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology; Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China.
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Wu E, Guo JP, Wang K, Xu HQ, Xie T, Tao L, Ni JT. Association of serum 25-hydroxyvitamin D with the incidence of 16 cancers, cancer mortality, and all-cause mortality among individuals with metabolic syndrome: a prospective cohort study. Eur J Nutr 2023; 62:2581-2592. [PMID: 37209191 DOI: 10.1007/s00394-023-03169-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 05/04/2023] [Indexed: 05/22/2023]
Abstract
PURPOSE The relationship between vitamin D levels and cancer incidence and mortality in individuals with metabolic syndrome (MetS) remains poorly explored. Herein, we aimed to determine the association between 25-hydroxyvitamin D [25(OH)D] concentrations and the risk of 16 cancer incidence types and cancer/all-cause mortality in patients with MetS. METHODS We enrolled 97,621 participants with MetS at recruitment from the UK Biobank cohort. The exposure factor was baseline serum 25(OH)D concentrations. The associations were examined using Cox proportional hazards models, which were displayed as hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS Over a median follow-up period of 10.92 years for cancer incidence outcomes, 12,137 new cancer cases were recorded. We observed that 25(OH)D concentrations were inversely related to the risk of colon, lung, and kidney cancer, and HRs (95% CI) for 25(OH)D ≥ 75.0 vs. < 25.0 nmol/L were 0.67 (0.45-0.98), 0.64 (0.45-0.91), and 0.54 (0.31-0.95), respectively. The fully adjusted model revealed a null correlation between 25(OH)D and the incidence of stomach, rectum, liver, pancreas, breast, ovary, bladder, brain, multiple myeloma, leukemia, non-Hodgkin lymphoma, esophagus, and corpus uteri cancer. Over a median follow-up period of 12.72 years for mortality outcomes, 8286 fatalities (including 3210 cancer mortalities) were documented. An "L-shaped" nonlinear dose-response correlation was detected between 25(OH)D and cancer/all-cause mortality; the respective HRs (95% CI) were 0.75 (0.64-0.89) and 0.65 (0.58-0.72). CONCLUSION These findings emphasize the importance of 25(OH)D in cancer prevention and longevity promotion among patients with MetS.
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Affiliation(s)
- E Wu
- Rehabilitation and Nursing School, Hangzhou Vocational & Technical College, Hangzhou, 310018, Zhejiang, China
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
| | - Jun-Ping Guo
- Rehabilitation and Nursing School, Hangzhou Vocational & Technical College, Hangzhou, 310018, Zhejiang, China
| | - Kai Wang
- Department of acupuncture and massage, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
| | - Hong-Quan Xu
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
| | - Tian Xie
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
| | - Lin Tao
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
- Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
| | - Jun-Tao Ni
- Women's Hospital School of Medicine Zhejiang University, Hangzhou, 310006, Zhejiang, China.
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