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High Serum Uric Acid and Increased Risk of Type 2 Diabetes: A Systemic Review and Meta-Analysis of Prospective Cohort Studies

Author

Listed:
  • Qin Lv
  • Xian-Fang Meng
  • Fang-Fang He
  • Shan Chen
  • Hua Su
  • Jing Xiong
  • Pan Gao
  • Xiu-Juan Tian
  • Jian-She Liu
  • Zhong-Hua Zhu
  • Kai Huang
  • Chun Zhang

Abstract

Objective: Current evidence suggests high serum uric acid may increase the risk of type 2 diabetes, but the association is still uncertain. The aim of the study was to evaluate the association between serum uric acid and future risk of type 2 diabetes by conducting a meta-analysis of prospective cohort studies. Design and Methods: We conducted a systematic literature search of the PubMed database through April 2012. Prospective cohort studies were included in meta-analysis that reported the multivariate adjusted relative risks (RRs) and the corresponding 95% confidence intervals (CIs) for the association between serum uric acid and risk of type 2 diabetes. We used both fix-effects and random-effects models to calculate the overall effect estimate. The heterogeneity across studies was tested by both Q statistic and I2 statistic. Begg’s funnel plot and Egger’s regression test were used to assess the potential publication bias. Results: We retrieved 7 eligible articles derived from 8 prospective cohort studies, involving a total of 32016 participants and 2930 incident type 2 diabetes. The combined RR of developing type 2 diabetes for the highest category of serum uric acid level compared with the lowest was 1.56(95% CI, 1.39–1.76). Dose-response analysis showed the risk of type 2 diabetes was increased by 6% per 1 mg/dl increment in serum uric acid level (RR 1.06, 95% CI: 1.04–1.07). The result from each subgroup showed a significant association between serum uric acid and risk of type 2 diabetes. In sensitive analysis, the combined RR was consistent every time omitting any one study. Little evidence of heterogeneity and publication bias was observed. Conclusions: Our meta-analysis of prospective cohort studies provided strong evidence that high level of serum uric acid is independent of other established risk factors, especially metabolic syndrome components, for developing type 2 diabetes in middle-aged and older people.

Suggested Citation

  • Qin Lv & Xian-Fang Meng & Fang-Fang He & Shan Chen & Hua Su & Jing Xiong & Pan Gao & Xiu-Juan Tian & Jian-She Liu & Zhong-Hua Zhu & Kai Huang & Chun Zhang, 2013. "High Serum Uric Acid and Increased Risk of Type 2 Diabetes: A Systemic Review and Meta-Analysis of Prospective Cohort Studies," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    • Handle: RePEc:plo:pone00:0056864
    DOI: 10.1371/journal.pone.0056864
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    Cited by:

    1. Sam Schoenmakers & E. J. (Joanne) Verweij & Roseriet Beijers & Hilmar H. Bijma & Jasper V. Been & Régine P. M. Steegers-Theunissen & Marion P. G. Koopmans & Irwin K. M. Reiss & Eric A. P. Steegers, 2022. "The Impact of Maternal Prenatal Stress Related to the COVID-19 Pandemic during the First 1000 Days: A Historical Perspective," IJERPH, MDPI, vol. 19(8), pages 1-23, April.
    2. Wen-Chih Wu & Yen-Wen Lai & Yu-Ching Chou & Yu-Chan Liao & San-Lin You & Chyi-Huey Bai & Chien-An Sun, 2020. "Serum Uric Acid Level as a Harbinger of Type 2 Diabetes: A Prospective Observation in Taiwan," IJERPH, MDPI, vol. 17(7), pages 1-8, March.
    3. Yili Xu & Jiayu Zhu & Li Gao & Yun Liu & Jie Shen & Chong Shen & Glenn Matfin & Xiaohong Wu, 2013. "Hyperuricemia as an Independent Predictor of Vascular Complications and Mortality in Type 2 Diabetes Patients: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    4. Xueping Chen & Xiaoyan Guo & Rui Huang & Yongping Chen & Zhenzhen Zheng & Huifang Shang, 2014. "Serum Uric Acid Levels in Patients with Alzheimer's Disease: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.
    5. Jia Liu & Zhan Zhao & Yongmin Mu & Xiaoping Zou & Dechun Zou & Jingbo Zhang & Shuo Chen & Lixin Tao & Xiuhua Guo, 2018. "Gender Differences in the Association between Serum Uric Acid and Prediabetes: A Six-Year Longitudinal Cohort Study," IJERPH, MDPI, vol. 15(7), pages 1-10, July.
    6. Seung Min Chung & Jun Sung Moon & Ji Sung Yoon & Kyu Chang Won & Hyoung Woo Lee, 2018. "Low urine pH affects the development of metabolic syndrome, associative with the increase of dyslipidemia and dysglycemia: Nationwide cross-sectional study (KNHANES 2013-2015) and a single-center retr," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-13, August.

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