Comparative study of insulin resistance surrogate indices to predict mild cognitive impairment among Chinese non-diabetic adults.

IF 3.9 2区医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Lipids in Health and Disease Pub Date : 2024-11-01 DOI:10.1186/s12944-024-02353-0

Yuyu Cui, Zhening Xu, Zhaoshu Cui, Yuanyuan Guo, Peiwei Wu, Xiaoyan Zhou

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引用次数: 0

Abstract

Objective: The study aims to investigate the associations of triglyceride glucose (TyG), TyG combined with body mass index (TyG-BMI), metabolic score for insulin resistance (METS-IR), the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C), and the risk of mild cognitive impairment (MCI) in individuals without diabetes aged 45 and above.

Methods: The most recent data in this study were from a cohort study, which sourced samples from the China Health and Retirement Longitudinal Study, spanning 2011 to 2018. The four indices' associations with MCI risk were analyzed using logistic regression. The predictive capacity was measured using the receiver operating characteristic (ROC) curve.

Results: Over a 7-year follow-up, 1,261 individuals (31.34%) of the 4,027 participants developed MCI. Logistic regression analysis revealed significant associations between these surrogate indices and MCI. The findings for the highest quartile compared with the lowest quartile were as follows: TyG: 1.24 (95% CI: 1.02, 1.49); TyG-BMI: 1.38 (95% CI: 1.13, 1.68); METS-IR: 1.50 (95% CI: 1.09, 2.06); TG/HDL-C: 1.34 (95% CI: 1.10, 1.64). ROC analysis revealed that TyG, TyG-BMI, TG/HDL-C, and METS-IR demonstrated excellent discriminatory power for MCI, with area under the curve (AUC) values of 0.82 (95% CI: 0.80, 0.83), 0.82 (95% CI: 0.80, 0.83), 0.83 (95% CI: 0.80, 0.84), and 0.83 (95% CI: 0.80, 0.84), respectively. The four indices showed stronger ability to predict MCI risk in females compared to males.

Conclusion: Elevated levels of four indices are positively correlated with MCI risk. TyG-BMI and METS-IR demonstrate stronger capabilities in identifying MCI across both male and female populations. This suggests that early intervention in patients with elevated IR surrogate indices may help reduce the MCI.

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预测中国非糖尿病成人轻度认知障碍的胰岛素抵抗替代指数比较研究。

研究目的本研究旨在探讨45岁及以上无糖尿病个体的甘油三酯血糖（TyG）、TyG与体重指数（TyG-BMI）、胰岛素抵抗代谢评分（METS-IR）、甘油三酯与高密度脂蛋白胆固醇比值（TG/HDL-C）与轻度认知障碍（MCI）风险的相关性：本研究的最新数据来自一项队列研究，该研究的样本来自中国健康与退休纵向研究，时间跨度为2011年至2018年。使用逻辑回归分析了四个指数与 MCI 风险的关系。结果：在7年的随访中，4027名参与者中有1261人（31.34%）患上了MCI。逻辑回归分析显示，这些代用指标与 MCI 之间存在显著关联。最高四分位数与最低四分位数的比较结果如下：TyG：1.24（95% CI：1.02，1.49）；TyG-BMI：1.38（95% CI：1.13，1.68）；METS-IR：1.50（95% CI：1.09，2.06）；TG/HDL-C：1.34（95% CI：1.10，1.64）。ROC分析显示，TyG、TyG-BMI、TG/HDL-C和METS-IR对MCI具有很好的鉴别力，曲线下面积（AUC）值分别为0.82（95% CI：0.80，0.83）、0.82（95% CI：0.80，0.83）、0.83（95% CI：0.80，0.84）和0.83（95% CI：0.80，0.84）。与男性相比，这四项指标预测女性 MCI 风险的能力更强：结论：四项指数水平的升高与 MCI 风险呈正相关。TyG-BMI和METS-IR在男性和女性人群中均显示出更强的识别MCI的能力。这表明，对红外替代指数升高的患者进行早期干预可能有助于减少 MCI。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Lipids in Health and Disease 生物-生化与分子生物学

CiteScore

7.70

自引率

2.20%

发文量

122

审稿时长

3-8 weeks

期刊介绍： Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds. Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.