The Mediation Role of Insulin Resistance and Chronic Systemic Inflammation in the Association Between Obesity and NAFLD: Two Cross-Sectional and a Mendelian Randomization Study.

IF 3.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Clinical Epidemiology Pub Date : 2025-03-24 eCollection Date: 2025-01-01 DOI:10.2147/CLEP.S508514
Xiaoyin Huang, Qianni Chen, Qingling Su, Jiamin Gong, Liqin Wu, Liangguang Xiang, Wanxin Li, Jun Chen, Hongwei Zhao, Wuqing Huang, Shanshan Du, Weimin Ye
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引用次数: 0

Abstract

Purpose: We aimed to identify the association between obesity and nonalcoholic fatty liver disease (NAFLD) and to quantify the mediating effects of insulin resistance (IR) and chronic inflammation through observational studies and Mendelian randomization (MR).

Patients and methods: In the current study, three IR-related indicators and three indicators of inflammation were included. The individual and combined mediated effects of IR and inflammation in the association between obesity and NAFLD were investigated in two cross-sectional studies, the Fuqing Cohort from China and the National Health and Nutrition Examination Survey (NHANES). Total, direct, and indirect effects were estimated through direct counterfactual imputation estimation, and the proportion of mediating effects was calculated. We applied a two-step MR to determine the causal mediating role of IR and chronic inflammation in the pathway between obesity and NAFLD by using single nucleotide polymorphisms as instrumental variables to predict obesity, IR, and inflammation genetically.

Results: In the Fuqing Cohort, all obese phenotypes were associated with an elevated NAFLD risk. Moreover, indicators of IR such as homeostatic model assessment of insulin resistance (HOMA-IR) and indicators of inflammation such as C-reactive protein (CRP) were significantly and positively associated with NAFLD risk. Individuals with obesity had significantly higher levels of IR and inflammation indicators compared to non-obese individuals. The indirect proportions of insulin and HOMA-IR accounted for 50.97-66.72% in the associations between obese phenotypes and NAFLD risk, while the proportions of inflammation indicators were < 14%. Similar results were observed in the NHANES analysis. In the MR analysis, the indirect effects of HOMA-IR and CRP were statistically significant with a greater mediated proportion explained by HOMA-IR than CRP.

Conclusion: Through two population-based studies and MR, we found the causal mediation roles of IR and inflammation in the association between obesity and NAFLD, in which HOMA-IR and CRP showed stable, significant mediation effects. Furthermore, HOMA-IR showed a higher mediation effect than CRP. We emphasize the vital role of HOMA-IR in NAFLD monitoring.

胰岛素抵抗和慢性全身性炎症在肥胖和NAFLD之间的中介作用:两项横断面和孟德尔随机研究。
目的:我们旨在通过观察性研究和孟德尔随机化(MR)确定肥胖与非酒精性脂肪性肝病(NAFLD)之间的关联,并量化胰岛素抵抗(IR)和慢性炎症的中介作用。患者和方法:本研究纳入3项ir相关指标和3项炎症指标。在中国福清队列和国家健康与营养检查调查(NHANES)两项横断面研究中,研究了IR和炎症在肥胖和NAFLD之间的个体和联合介导作用。通过直接反事实归因估计估计总效应、直接效应和间接效应,并计算中介效应的比例。我们采用两步磁共振来确定IR和慢性炎症在肥胖和NAFLD之间通路中的因果中介作用,通过使用单核苷酸多态性作为工具变量来遗传预测肥胖、IR和炎症。结果:在福清队列中,所有肥胖表型都与NAFLD风险升高相关。此外,IR指标如胰岛素抵抗稳态模型评估(HOMA-IR)和炎症指标如c反应蛋白(CRP)与NAFLD风险显著正相关。与非肥胖者相比,肥胖者的IR和炎症指标水平明显更高。在肥胖表型与NAFLD风险的关联中,胰岛素和HOMA-IR的间接比例占50.97 ~ 66.72%,炎症指标的间接比例< 14%。在NHANES分析中也观察到类似的结果。在MR分析中,HOMA-IR和CRP的间接影响具有统计学意义,HOMA-IR比CRP解释的介导比例更大。结论:通过两项基于人群的研究和MR,我们发现IR和炎症在肥胖与NAFLD关联中的因果中介作用,其中HOMA-IR和CRP表现出稳定且显著的中介作用。此外,HOMA-IR表现出比CRP更高的中介作用。我们强调HOMA-IR在NAFLD监测中的重要作用。
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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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