Literature DB >> 32054721

Impact of Glucose Level on Micro- and Macrovascular Disease in the General Population: A Mendelian Randomization Study.

Frida Emanuelsson1,2,3, Sarah Marott1,2,3, Anne Tybjærg-Hansen1,2,3,4, Børge G Nordestgaard2,3,4,5, Marianne Benn6,2,3.   

Abstract

OBJECTIVE: To evaluate whether high glucose levels in the normoglycemic range and higher have a causal genetic effect on risk of retinopathy, neuropathy, nephropathy, chronic kidney disease (CKD), peripheral arterial disease (PAD), and myocardial infarction (MI; positive control) in the general population. RESEARCH DESIGN AND METHODS: This study applied observational and one-sample Mendelian randomization (MR) analyses to individual-level data from 117,193 Danish individuals, and validation by two-sample MR analyses on summary-level data from 133,010 individuals from the Meta-Analyses of Glucose and Insulin-Related Traits Consortium (MAGIC), 117,165 from the CKDGen Consortium, and 452,264 from the UK Biobank.
RESULTS: Observationally, glucose levels in the normoglycemic range and higher were associated with high risks of retinopathy, neuropathy, diabetic nephropathy, PAD, and MI (all P for trend <0.001). In genetic causal analyses, the risk ratio for a 1 mmol/L higher glucose level was 2.01 (95% CI 1.18-3.41) for retinopathy, 2.15 (1.38-3.35) for neuropathy, 1.58 (1.04-2.40) for diabetic nephropathy, 0.97 (0.84-1.12) for estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2, 1.19 (0.90-1.58) for PAD, and 1.49 (1.02-2.17) for MI. Summary-level data from the MAGIC, the CKDGen Consortium, and the UK Biobank gave a genetic risk ratio of 4.55 (95% CI 2.26-9.15) for retinopathy, 1.48 (0.83-2.66) for peripheral neuropathy, 0.98 (0.94-1.01) for eGFR <60 mL/min/1.73 m2, and 1.23 (0.57-2.67) for PAD per 1 mmol/L higher glucose level.
CONCLUSIONS: Glucose levels in the normoglycemic range and higher were prospectively associated with a high risk of retinopathy, neuropathy, diabetic nephropathy, eGFR <60 mL/min/1.73 m2, PAD, and MI. These associations were confirmed in genetic causal analyses for retinopathy, neuropathy, diabetic nephropathy, and MI, but they could not be confirmed for PAD and seemed to be refuted for eGFR <60 mL/min/1.73 m2.
© 2020 by the American Diabetes Association.

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Year:  2020        PMID: 32054721     DOI: 10.2337/dc19-1850

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  9 in total

1.  Trans-ethnic Mendelian-randomization study reveals causal relationships between cardiometabolic factors and chronic kidney disease.

Authors:  Jie Zheng; Yuemiao Zhang; Humaira Rasheed; Venexia Walker; Yuka Sugawara; Jiachen Li; Yue Leng; Benjamin Elsworth; Robyn E Wootton; Si Fang; Qian Yang; Stephen Burgess; Philip C Haycock; Maria Carolina Borges; Yoonsu Cho; Rebecca Carnegie; Amy Howell; Jamie Robinson; Laurent F Thomas; Ben Michael Brumpton; Kristian Hveem; Stein Hallan; Nora Franceschini; Andrew P Morris; Anna Köttgen; Cristian Pattaro; Matthias Wuttke; Masayuki Yamamoto; Naoki Kashihara; Masato Akiyama; Masahiro Kanai; Koichi Matsuda; Yoichiro Kamatani; Yukinori Okada; Robin Walters; Iona Y Millwood; Zhengming Chen; George Davey Smith; Sean Barbour; Canqing Yu; Bjørn Olav Åsvold; Hong Zhang; Tom R Gaunt
Journal:  Int J Epidemiol       Date:  2021-10-20       Impact factor: 7.196

2.  Systolic Blood Pressure, Cardiovascular Mortality, and All-Cause Mortality in Normoglycemia, Prediabetes, and Diabetes.

Authors:  Chao-Lei Chen; Lin Liu; Jia-Yi Huang; Yu-Ling Yu; Kenneth Lo; Yu-Qing Huang; Ying-Qing Feng
Journal:  Diabetes Metab Syndr Obes       Date:  2020-07-06       Impact factor: 3.168

3.  Impact of high glucose levels and glucose lowering on risk of ischaemic stroke: a Mendelian randomisation study and meta-analysis.

Authors:  Marianne Benn; Frida Emanuelsson; Anne Tybjærg-Hansen; Børge G Nordestgaard
Journal:  Diabetologia       Date:  2021-03-25       Impact factor: 10.122

4.  Reduced risk for chronic kidney disease after recovery from metabolic syndrome: A nationwide population-based study.

Authors:  Sehoon Park; Soojin Lee; Yaerim Kim; Yeonhee Lee; Min Woo Kang; Kyungdo Han; Hajeong Lee; Jung Pyo Lee; Kwon Wook Joo; Chun Soo Lim; Yon Su Kim; Dong Ki Kim
Journal:  Kidney Res Clin Pract       Date:  2020-06-30

5.  Causal Effect of the Triglyceride-Glucose Index and the Joint Exposure of Higher Glucose and Triglyceride With Extensive Cardio-Cerebrovascular Metabolic Outcomes in the UK Biobank: A Mendelian Randomization Study.

Authors:  Shucheng Si; Jiqing Li; Yunxia Li; Wenchao Li; Xiaolu Chen; Tonghui Yuan; Congcong Liu; Hongkai Li; Lei Hou; Bojie Wang; Fuzhong Xue
Journal:  Front Cardiovasc Med       Date:  2021-01-22

6.  Variability in Annual Fasting Glucose and the Risk of Peripheral Artery Disease in Patients with Diabetes Mellitus.

Authors:  Yu-Shan Chang; Liang-Yi Lee; I-Te Lee
Journal:  Diabetes Metab Syndr Obes       Date:  2021-09-24       Impact factor: 3.168

7.  Quantitative Evaluation of Retinal Microvascular Abnormalities in Patients With Type 2 Diabetes Mellitus Without Clinical Sign of Diabetic Retinopathy.

Authors:  Yongqing Han; Xiaogang Wang; Gang Sun; Jing Luo; Xing Cao; Pengyi Yin; Renhe Yu; Simin He; Fang Yang; Frank L Myers; Liang Zhou
Journal:  Transl Vis Sci Technol       Date:  2022-04-01       Impact factor: 3.048

Review 8.  Diabetes as a risk factor for incident peripheral arterial disease in women compared to men: a systematic review and meta-analysis.

Authors:  Alyssa Z Chase-Vilchez; Isaac H Y Chan; Sanne A E Peters; Mark Woodward
Journal:  Cardiovasc Diabetol       Date:  2020-09-26       Impact factor: 9.951

9.  Random plasma glucose levels and cause-specific mortality among Chinese adults without known diabetes: an 11-year prospective study of 450,000 people.

Authors:  Jane Vermunt; Fiona Bragg; Jim Halsey; Ling Yang; Yiping Chen; Yu Guo; Huaidong Du; Fanwen Meng; Pei Pei; Canqing Yu; Jun Lv; Junshi Chen; Liming Li; Sarah Lewington; Zhengming Chen
Journal:  BMJ Open Diabetes Res Care       Date:  2021-11
  9 in total

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