Journal of Shandong University (Health Sciences) ›› 2022, Vol. 60 ›› Issue (12): 44-51.doi: 10.6040/j.issn.1671-7554.0.2022.0575

Previous Articles     Next Articles

Association of 4 simple insulin resistance indicators with the risk of hyperuricemia in 698 patients with type 2 diabetes mellitus

ZHAO Meiru1,2,3,4, ZHU Di2,3,4, LIU Lin2,3,4, GUAN Qingbo1,2,3,4, ZHANG Xu2,3,4   

  1. 1. Shandong University, Jinan 250012, Shandong, China;
    2. Department of Endocrine and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China;
    3. Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan 250021, Shandong, China;
    4. Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan 250021, Shandong, China
  • Published:2022-12-01

PDF (PC)

690

Abstract: Objective To investigate the effects of triglyceride-glucose(TyG), triglyceride-glucose body mass index(TyG-BMI), triglyceride/high-density lipoprotein cholesterol ratio(TG/HDL-C)and metabolic score for insulin resistance(METS-IR)on the risk of hyperuricemia(HUA)in 698 patients with type 2 diabetes mellitus(T2DM). Methods A total of 698 patients with T2DM hospitalized in the Department of Endocrinology of Shandong Provincial Hospital during Jan. 2016 and Dec. 2019 were selected. According to the serum uric acid value(SUA), the patients were divided into the non-hyperuricemia group(SUA<420 μmol/L, NUA group)and HUA group(SUA≥420 μmol/L, HUA group). The reference value of TyG, TyG-BMI, TG/HDL-C and METS-IR for HUA was analyzed with multivariate Logistic regression and receiver operator characteristic(ROC)curve. Results TyG, TyG-BMI, TG/HDL-C and METS-IR were higher in HUA group than in NUA group(P<0.05). With the occurrence of HUA(assignment: 0=no, 1=yes)as the dependent variable, and the indicators with statistical significance in the univariate regression analysis as the independent variables, the multivariate binary Logistic regression analysis showed that, serum creatinine(Scr), retinol binging protein(RBP), TyG, TyG-BMI, TG/HDL-C and METS-IR were independent influencing factors of HUA in T2DM patients(P<0.05). The ROC curve showed that TyG had the highest reference value on the occurrence of HUA, with the area under the curve(AUC)of 0.73(95%CI: 0.68-0.77), sensitivity of 76.6%, specificity of 57.8 %, and Youden index of 0.34, followed by TyG-BMI, TG/HDL-C and METS-IR. Conclusion TyG, TyG-BMI, TG/HDL-C and METS-IR have reference significance for the occurrence of HUA in middle-aged and elderly male patients with T2DM.

Key words: Triglyceride-glucose index, Triglyceride glucose-body mass index, Triglyceride/high-density lipoprotein cholesterol ratio, Metabolic score for insulin resistance, Hyperuricemia, Type 2 diabetes, Insulin resistance

CLC Number: 

  • R587.1
[1] 李静. 高尿酸血症的流行病学研究[J]. 中国心血管杂志, 2016, 21(2): 83-86. LI Jing. Epidemiologic studies of hyperuricemia[J]. Chinese Journal of Cardiovascular Medicine, 2016, 21(2): 83-86.
[2] Hu X, Rong S, Wang Q, et al. Association between plasma uric acid and insulin resistance in type 2 diabetes: a mendelian randomization analysis [J]. Diabetes Res Clin Pract, 2021, 171: 108542. doi: 10.1016/j.diabres.2020.108542.
[3] Bonora E, Capaldo B, Perin PC, et al. Hyperinsulinemia and insulin resistance are independently associated with plasma lipids, uric acid and blood pressure in non-diabetic subjects. The GISIR database [J]. Nutr Metab Cardiovasc Dis, 2008, 18(9): 624-631.
[4] Sánchez-García A, Rodríguez-Gutiérrez R, Mancillas-Adame L, et al. Diagnostic accuracy of the triglyceride and glucose index for insulin resistance: a systematic review [J]. Int J Endocrinol, 2020, 2020: 4678526. doi:10.1155/2020/4678526.
[5] 李融融, 时小东, 陈伟. 新型简化胰岛素抵抗评价指标对糖代谢紊乱预测价值的比较研究[J]. 中华糖尿病杂志, 2022, 14(1): 56-62. LI Rongrong, SHI Xiaodong, CHEN Wei. A comparative study on the predictive value of new simplified insulin resistance assessment indicators in identifying glucose metabolism disturbance [J]. Chinese Journal of Diabetes, 2022, 14(1): 56-62.
[6] 孙琳, 王桂侠, 郭蔚莹. 高尿酸血症研究进展[J]. 中国老年学杂志, 2017, 37(4): 1034-1038. SUN Lin, WANG Guixia, GUO Weiying. Research progress of hyperuricemia [J]. Chinese Journal of Gerontology, 2017, 37(4): 1034-1038.
[7] 李林, 朱小霞, 戴宇翔, 等. 中国高尿酸血症相关疾病诊疗多学科专家共识[J]. 中华内科杂志, 2017, 56(3): 235-248. LI Lin, ZHU Xiaoxia, DAI Yuxiang, et al. Chinese multi-disciplinary consensus on the diagnosis and treatment of hyperuricemia and its related diseases [J]. Chinese Journal of Internal Medicine, 2017, 56(3): 235-248.
[8] Liu R, Han C, Wu D, et al. Prevalence of hyperuricemia and gout in mainland China from 2000 to 2014: a systematic review and meta-analysis [J]. Biomed Res Int, 2015, 2015: 762820. doi: 10.1155/2015/762820.
[9] Cibi cková, Langová L, Vaverková H, et al. Correlation of uric acid levels and parameters of metabolic syndrome [J]. Physiol Res, 2017, 66(3): 481-487.
[10] Adachi SI, Yoshizawa F, Yagasaki K. Hyperuricemia in type 2 diabetic model KK-Ay/Ta mice: a potent animal model with positive correlation between insulin resistance and plasma high uric acid levels [J]. BMC Res Notes, 2017, 10(1): 577.
[11] Wang Y, Yang W, Jiang X. Association between triglyceride-glucose index and hypertension: a meta-analysis [J]. Frontiers in cardiovascular medicine, 2021, 8: 644035. doi: 10.3389/fcvm.2021.644035.
[12] Zheng R, Mao Y. Triglyceride and glucose(TyG)index as a predictor of incident hypertension: a 9-year longitudinal population-based study [J]. Lipids in health and disease, 2017, 16(1): 175.
[13] Li J, Ren L, Chang C, et al. Triglyceride-glukose index predicts adverse events in patients with acute coronary syndrome: a meta-analysis of cohort studies [J]. Horm Metab Res, 2021, 53(9): 594-601.
[14] Duran Karaduman B, Ayhan H, Kele?瘙塂 T, et al. The triglyceride-glucose index predicts peripheral artery disease complexity [J]. Turkish journal of medical sciences, 2020, 50(5): 1217-1222.
[15] Sheng GT, Lu S, Xie QY, et al. The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease [J]. Lipids Heal Dis, 2021, 20(1): 134.
[16] 邹筱芳, 巫冠中. 尿酸肾损伤的分子机制研究进展[J]. 安徽医药, 2015, 19(1): 5-9. ZOU Xiaofang, WU Guanzhong. Molecular mechanism of uric acid in renal injury [J]. Anhui Medical and Pharmaceutical Journal, 2015, 19(1): 5-9.
[17] Salihefendic D, Zildzic M, Masic I. The importance of the quantity and the distribution assessment of fat tissue in a diagnosis of insulin resistance [J]. Med Arch Sarajevo Bosnia Herzegovina, 2020, 74(6): 439-443.
[18] Yamada A, Sato KK, Kinuhata S, et al. Association of visceral fat and liver fat with hyperuricemia [J]. Arthritis Care Res, 2016, 68(4): 553-561.
[19] Zong J, Sun Y, Zhang Y, et al. Correlation between serum uric acid level and central body fat distribution in patients with Type 2 diabetes [J]. Diabetes Metab Syndr Obes, 2020, 13: 2521-2531. doi: 10.2147/DMSO.S260891.
[20] 费晶, 陆昀, 黄阳, 等. 中年男性人群吸烟与血尿酸的关系探讨[J]. 中华老年医学杂志, 2020, 39(2): 151-154. FEI Jing, LU Yun, HUANG Yang, et al. The correlation between different smoking status and serum uric acid in a middle-aged male population [J]. Chinese Journal of Gerontology, 2020, 39(2): 151-154.
[21] Gu Q, Hu X, Meng J, et al. Associations of triglyceride-glucose index and its derivatives with hyperuricemia risk: a cohort study in Chinese general population [J]. Int J Endocrinol, 2020, 2020: 3214716. doi: 10.1155/2020/3214716.
[22] Mazidi M, Katsiki N, Mikhailidis DP, et al. The link between insulin resistance parameters and serum uric acid is mediated by adiposity [J]. Atherosclerosis, 2018, 270: 180-186. doi: 10.1016/j.atherosclerosis.
[23] Kim TH, Lee SS, Yoo JH, et al. The relationship between the regional abdominal adipose tissue distribution and the serum uric acid levels in people with type 2 diabetes mellitus [J]. Diabetol Metab Syndr, 2012, 4(1): 3.
[24] Huang XL, Jiang XH, Wang L, et al. Visceral adipose accumulation increased the risk of hyperuricemia among middle-aged and elderly adults: a population-based study [J]. J Transl Med, 2019, 17(1): 341.
[25] Yang L, He Z, Gu X, et al. Dose-response relationship between BMI and hyperuricemia [J]. Int J Gen Med, 2021, 14: 8065-8071. doi: 10.2147/IJGM.S341622.
[26] 杨曦, 柳怡莹, 万沁. TG/HDL-C、TyG指数对T2DM患者高尿酸血症的预测价值[J]. 天津医药, 2021, 49(6): 603-608. YANG Xi, LIU Yiying, WAN Qin. The predictive value of TG/HDL-C and TyG index for hyperuricemia in T2DM patients [J]. Tianjin Medical Journal, 2021, 49(6): 603-608.
[27] Liu XY, Wu QY, Chen ZH, et al. Elevated triglyceride to high-density lipoprotein cholesterol(TG/HDL-C)ratio increased risk of hyperuricemia: a 4-year cohort study in China [J]. Endocrine, 2020, 68(1): 71-80.
[1] ZHANG Yuan, LI Yang-Min, FENG Rue-Qiu, CHANG Cai-Yun, PAN Hua-Wei, WANG Shu-Mei. Relationship among serum adiponectin level, obesity and insulin resistance [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2209, 47(6): 124-.
[2] ZHANG Chunhui, WANG Chaoyi, YANG Jinghan, ZHANG Wenxia, KONG Yujia, SHI Fuyan, WANG Suzhen. Association between body mass index and hyperuricemia based on propensity score matching method [J]. Journal of Shandong University (Health Sciences), 2026, 64(4): 100-108.
[3] MENG Xiaomei, HAO Yaping, WANG Liang, YU Xiao, TANG Yuxiao. Correlation between the levels of serum Isthmin1, Gremlin2 and retinopathy in type 2 diabetic patients [J]. Journal of Shandong University (Health Sciences), 2025, 63(9): 102-107.
[4] SHEN Lujia, LU Tianwei, GONG Weiming, ZHAO Yansong, WANG Shukang, YUAN Zhongshang. Application of metabolomic risk score in predicting cardiovascular outcomes in patients with type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2025, 63(8): 69-78.
[5] CHEN Yingying, WANG Lu, HU Xifeng, ZHU Gaopei, XUE Fuzhong. A Bayesian network-based risk prediction study of stroke in patients with type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2025, 63(8): 94-102.
[6] LIU Lin, WANG Xiaonan, YANG Yaxi, WANG Jiangteng, LI Xu, ZHOU Xinli, GUAN Qingbo, ZHANG Xu. Correlation of triglycride-glucose index and atherosclerotic stenosis in intracranial arteries [J]. Journal of Shandong University (Health Sciences), 2024, 62(8): 93-100.
[7] LI Jinquan, GAO Meifang, YAN Fei, DONG Ming. Frequency and risk factors of muscle cramp in 136 cases of type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2023, 61(5): 20-24.
[8] ZHANG Tianxin, ZHANG Ting, HUANG Xin, HAN Jiayi, WANG Shukang. A mendelian randomization analysis on the causal associations between amino acids and type 2 diabetes [J]. Journal of Shandong University (Health Sciences), 2023, 61(5): 102-107.
[9] HAN Mei, MENG Weijing, TAO Zikun, YANG Xi, XU Yaqi, MU Huaxia, BU Weixiao, WANG Suzhen, SHI Fuyan. Causal mediation analysis with multiple-mediator of hypertension and depression between type 2 diabetes mellitus and cognitive function based on G-computation [J]. Journal of Shandong University (Health Sciences), 2023, 61(10): 101-108.
[10] YU Shujuan, WANG Meijuan, CHEN Li, CAO Yingjuan LYU Xiaoyan, LIU Xueyan, LIN Peng, YAN Jingzheng. Influencing factors of mild cognitive impairment in elderly patients with type 2 diabetes [J]. Journal of Shandong University (Health Sciences), 2022, 60(11): 108-112.
[11] LYU Li, JIANG Lu, CHEN Shihong, ZHUANG Xianghua, SONG Yuwen, WANG Dianhui, AN Wenjuan, LI Qian, PAN Zhe. Related factors of osteoporosis in 210 postmenopausal women with type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2021, 59(7): 19-25.
[12] ZHENG Fengjie, SONG Yuwen, SUN Aili, PAN Zhe, WANG Dianhui, LOU Nengjun, LYU Li, ZHUANG Xianghua, CHEN Shihong. Correlation between diabetic peripheral neuropathy and sarcopenia [J]. Journal of Shandong University (Health Sciences), 2021, 59(6): 38-44.
[13] LIU Ping, SONG Yuwen, WANG Ping, TIAN Guangwei, ZHENG Fengjie, LYU Li, DU Jiaojiao, ZHANG Jing, ZHUANG Xianghua, CHEN Shihong. Correlation between vitamin D deficiency and depression in patients with type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2021, 59(6): 51-56.
[14] NIU Qun, SHI Jingjing, FU Jiang. Effects of WNT5A gene on insulin reactivity and insulin resistance in granulosa cells [J]. Journal of Shandong University (Health Sciences), 2021, 59(6): 57-63.
[15] HA Lingxia, YIN Ting, WU Yangyang, LI Weixia, DU Yudong. Correlation between insulin resistance and expressions of local inflammatory factors and glucose transporter protein type-4 in the endometrium of patients with polycystic ovary syndrome [J]. Journal of Shandong University (Health Sciences), 2021, 59(11): 41-47.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright 2018 © Editorial office of Journal of Shandong University (Health Sciences)
Supported by Beijing Magtech Co.Ltd