Diabetes & Metabolism Journal

Original Articles

Obesity and Metabolic Syndrome
The Protective Effects of Increasing Serum Uric Acid Level on Development of Metabolic Syndrome: Tae Yang Yu, Sang-Man Jin, Jae Hwan Jee, Ji Cheol Bae, Moon-Kyu Lee, Jae Hyeon Kim; Diabetes Metab J. 2019;43(4):504-520. Published online February 21, 2019; DOI: https://doi.org/10.4093/dmj.2018.0079

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Background

It has not been determined whether changes in serum uric acid (SUA) level are associated with incident metabolic syndrome (MetS). The aim of the current study was to investigate the relationship between changes in SUA level and development of MetS in a large number of subjects.

Methods

In total, 13,057 subjects participating in a medical health check-up program without a diagnosis of MetS at baseline were enrolled. Cox proportional hazards models were used to test the independent association of percent changes in SUA level with development of MetS.

Results

After adjustment for age, systolic blood pressure, body mass index, fat-free mass (%), estimated glomerular filtration rate, smoking status, fasting glucose, triglyceride, low density lipoprotein cholesterol, high density lipoprotein cholesterol, and baseline SUA levels, the hazard ratios (HRs) (95% confidence intervals [CIs]) for incident MetS in the second, third, and fourth quartiles compared to the first quartile of percent change in SUA level were 1.055 (0.936 to 1.190), 0.927 (0.818 to 1.050), and 0.807 (0.707 to 0.922) in male (P for trend <0.001) and 1.000 (0.843 to 1.186), 0.744 (0.615 to 0.900), and 0.684 (0.557 to 0.840) in female (P for trend <0.001), respectively. As a continuous variable in the fully-adjusted model, each one-standard deviation increase in percent change in SUA level was associated with an HR (95% CI) for incident MetS of 0.944 (0.906 to 0.982) in male (P=0.005) and 0.851 (0.801 to 0.905) in female (P<0.001).

Conclusion

The current study demonstrated that increasing SUA level independently protected against the development of MetS, suggesting a possible role of SUA as an antioxidant in the pathogenesis of incident MetS.

Citations

Citations to this article as recorded by

High prevalence of hyperuricemia and the association with metabolic syndrome in the rural areas of Southwestern China: A structural equation modeling based on the Zhuang minority cohort
Xiaofen Tang, Shun Liu, Xiaoqiang Qiu, Li Su, Dongping Huang, Jun Liang, Yu Yang, Jennifer Hui Juan Tan, Xiaoyun Zeng, Yihong Xie
Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(2): 497. CrossRef
Predictive Value of Collagen Biomarkers in Advanced Chronic Kidney Disease Patients
Carina Ureche, Gianina Dodi, Adela Mihaela Șerban, Andreea Simona Covic, Luminița Voroneanu, Simona Hogaș, Radu Andy Sascău, Cristian Stătescu, Adrian Covic
Biomolecules.2023; 13(2): 389. CrossRef
The bidirectional relationship between metabolic syndrome and hyperuricemia in China: A longitudinal study from CHARLS
Wen-Yu Chen, Yan-Peng Fu, Min Zhou
Endocrine.2022; 76(1): 62. CrossRef
Correlation between Serum Oxidative Stress Level and Serum Uric Acid and Prognosis in Patients with Hepatitis B-Related Liver Cancer before Operation
Maowen Yu, Chaozhu Zhang, Hongbo Tang, Chaohui Xiao, Hangjun Che
Journal of Healthcare Engineering.2022; 2022: 1. CrossRef
Association between metabolic syndrome and uric acid: a systematic review and meta-analysis
Elena Raya-Cano, Manuel Vaquero-Abellán, Rafael Molina-Luque, Domingo De Pedro-Jiménez, Guillermo Molina-Recio, Manuel Romero-Saldaña
Scientific Reports.2022;[Epub] CrossRef
Acute moderate‐intensity aerobic exercise promotes purinergic and inflammatory responses in sedentary, overweight and physically active subjects
Cesar Eduardo Jacintho Moritz, Franccesco Pinto Boeno, Alexandra Ferreira Vieira, Samuel Vargas Munhoz, Juliete Nathali Scholl, Amanda de Fraga Dias, Pauline Rafaela Pizzato, Fabrício Figueiró, Ana Maria Oliveira Battastini, Alvaro Reischak‐Oliveira
Experimental Physiology.2021; 106(4): 1024. CrossRef
Association between baseline and changes in serum uric acid and incident metabolic syndrome: a nation-wide cohort study and updated meta-analysis
Sen Chen, Nianwei Wu, Chuan Yu, Ying Xu, Chengfu Xu, Yuli Huang, Jian Zhao, Ningxiu Li, Xiong-Fei Pan
Nutrition & Metabolism.2021;[Epub] CrossRef
Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review
Vincent G. Pluimakers, Selveta S. van Santen, Marta Fiocco, Marie‐Christine E. Bakker, Aart J. van der Lelij, Marry M. van den Heuvel‐Eibrink, Sebastian J. C. M. M. Neggers
Obesity Reviews.2021;[Epub] CrossRef
Inverse associations between serum urate and glycemic status in a general population and in persons with diabetes mellitus
Ichiro Wakabayashi
Diabetology & Metabolic Syndrome.2020;[Epub] CrossRef
Association of Serum Uric Acid with Metabolic Syndrome and Its Components: A Mendelian Randomization Analysis
Lu Wang, Tao Zhang, Yafei Liu, Fang Tang, Fuzhong Xue
BioMed Research International.2020; 2020: 1. CrossRef
Association between Serum Uric Acid and Metabolic Syndrome in Koreans
Jihyun Jeong, Young Ju Suh
Journal of Korean Medical Science.2019;[Epub] CrossRef

Obesity and Metabolic Syndrome
Serum Calcium and the Risk of Incident Metabolic Syndrome: A 4.3-Year Retrospective Longitudinal Study: Jong Ha Baek, Sang-Man Jin, Ji Cheol Bae, Jae Hwan Jee, Tae Yang Yu, Soo Kyoung Kim, Kyu Yeon Hur, Moon-Kyu Lee, Jae Hyeon Kim; Diabetes Metab J. 2017;41(1):60-68. Published online December 26, 2016; DOI: https://doi.org/10.4093/dmj.2017.41.1.60

4,092 View
32 Download
9 Web of Science
9 Crossref

Abstract PDF PubReader

Background

An association between serum calcium level and risk of metabolic syndrome (MetS) has been suggested in cross-sectional studies. This study aimed to evaluate the association between baseline serum calcium level and risk of incident MetS in a longitudinal study.

Methods

We conducted a retrospective longitudinal study of 12,706 participants without MetS who participated in a health screening program, had normal range serum calcium level at baseline (mean age, 51 years), and were followed up for 4.3 years (18,925 person-years). The risk of developing MetS was analyzed according to the baseline serum calcium levels.

Results

A total of 3,448 incident cases (27.1%) of MetS developed during the follow-up period. The hazard ratio (HR) for incident MetS did not increase with increasing tertile of serum calcium level in an age- and sex-matched model (P for trend=0.915). The HRs (95% confidence interval [CI]) for incident MetS comparing the second and the third tertiles to the first tertile of baseline serum calcium level were 0.91 (95% CI, 0.84 to 0.99) and 0.85 (95% CI, 0.78 to 0.92) in a fully adjusted model, respectively (P for trend=0.001). A decreased risk of incident MetS in higher tertiles of serum calcium level was observed in subjects with central obesity and/or a metabolically unhealthy state at baseline.

Conclusion

There was no positive correlation between baseline serum calcium levels and incident risk of MetS in this longitudinal study. There was an association between higher serum calcium levels and decreased incident MetS in individuals with central obesity or two components of MetS at baseline.

Citations

Citations to this article as recorded by

Independent associations of serum calcium with or without albumin adjustment and serum phosphorus with nonalcoholic fatty liver disease: results from NHANES 1999-2018
Haolong Qi, Bin Wang, Lei Zhu
Frontiers in Endocrinology.2024;[Epub] CrossRef
Association of the serum calcium level with metabolic syndrome and its components among adults in Taiwan
Jer-min Chen, Tai-yin Wu, Yi-fan Wu, Kuan-liang Kuo
Archives of Endocrinology and Metabolism.2023;[Epub] CrossRef
Elevated Chinese visceral adiposity index increases the risk of stroke in Chinese patients with metabolic syndrome
Zeyu Liu, Qin Huang, Bi Deng, Minping Wei, Xianjing Feng, Fang Yu, Jie Feng, Yang Du, Jian Xia
Frontiers in Endocrinology.2023;[Epub] CrossRef
Metformin: Expanding the Scope of Application—Starting Earlier than Yesterday, Canceling Later
Yulia A. Kononova, Nikolai P. Likhonosov, Alina Yu. Babenko
International Journal of Molecular Sciences.2022; 23(4): 2363. CrossRef
Metformin in prediabetes: key mechanisms for the prevention of diabetes and cardiometabolic risks
A. Yu. Babenko
Meditsinskiy sovet = Medical Council.2022; (10): 96. CrossRef
Calcium and Phosphate Levels are Among Other Factors Associated with Metabolic Syndrome in Patients with Normal Weight

Kamila Osadnik, Tadeusz Osadnik, Marcin Delijewski, Mateusz Lejawa, Martyna Fronczek, Rafał Reguła, Mariusz Gąsior, Natalia Pawlas
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 1281. CrossRef
Association between selected trace elements and body mass index and waist circumference: A cross sectional study
Mahnaz Zohal, Saeedeh Jam-Ashkezari, Nasim Namiranian, Amin Moosavi, Akram Ghadiri-Anari
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(2): 1293. CrossRef
Letter: Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study (Diabetes Metab J 2019;43:521-9)
Jin Hwa Kim
Diabetes & Metabolism Journal.2019; 43(5): 727. CrossRef
Genotype effects of glucokinase regulator on lipid profiles and glycemic status are modified by circulating calcium levels: results from the Korean Genome and Epidemiology Study
Oh Yoen Kim, So-Young Kwak, Hyunjung Lim, Min-Jeong Shin
Nutrition Research.2018; 60: 96. CrossRef

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