Xiao-Xuan Tang , Rui Wu , Jun-Hui Chen , Feng-Lan Wang , Sai-Li Zhao , Jie Lu , Jian Qin , Duan-Ming Zhuang , Bin Zhang
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Nonlinear associations were explored using restricted cubic splines (RCS), and BMI's mediation effects were examined through causal mediation analysis.</div></div><div><h3>Results</h3><div>MASH risk was significantly higher in the highest HOMA-IR quartile compared to the lowest (OR = 5.942, 95 %CI = 2.117–16.679, P = 0.001). RCS revealed nonlinear associations between HOMA-IR and both MASH risk (P = 0.007) and liver metrics (LSM: P = 0.045; CAP: P < 0.001). HOMA-IR correlated with increased hepatic steatosis and fibrosis severity. BMI mediated 34.26 % and 19.62 % of the associations for LSM and CAP, respectively.</div></div><div><h3>Conclusion</h3><div>Monitoring HOMA-IR is vital for early MASH risk detection and intervention. Targeting insulin resistance and BMI may reduce MASH risk and severity, highlighting the need for integrated therapeutic strategies.</div></div>","PeriodicalId":94141,"journal":{"name":"Metabolism open","volume":"28 ","pages":"Article 100402"},"PeriodicalIF":2.7000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association between HOMA-IR and metabolic dysfunction-associated steatohepatitis in U.S. adults with MASLD\",\"authors\":\"Xiao-Xuan Tang , Rui Wu , Jun-Hui Chen , Feng-Lan Wang , Sai-Li Zhao , Jie Lu , Jian Qin , Duan-Ming Zhuang , Bin Zhang\",\"doi\":\"10.1016/j.metop.2025.100402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>MASH is a critical point in metabolic dysfunction-associated steatotic liver disease (MASLD). 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RCS revealed nonlinear associations between HOMA-IR and both MASH risk (P = 0.007) and liver metrics (LSM: P = 0.045; CAP: P < 0.001). HOMA-IR correlated with increased hepatic steatosis and fibrosis severity. BMI mediated 34.26 % and 19.62 % of the associations for LSM and CAP, respectively.</div></div><div><h3>Conclusion</h3><div>Monitoring HOMA-IR is vital for early MASH risk detection and intervention. 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引用次数: 0
摘要
背景:mash是代谢功能障碍相关脂肪变性肝病(MASLD)的一个临界点。了解其与胰岛素抵抗稳态模型评估(HOMA-IR)的关系至关重要,因为HOMA-IR是胰岛素抵抗的标志。方法本研究分析了来自NHANES 2017-2020的700名成年人,使用FAST评分(阈值≥0.35和≥0.67)来识别高MASH风险个体。Logistic回归评估HOMA-IR与MASH风险的关系,而线性回归评估其与肝刚度测量(LSM)和控制衰减参数(CAP)的关系。采用限制三次样条法(RCS)探讨非线性关联,并通过因果中介分析检验BMI的中介效应。结果HOMA-IR最高四分位数患者发生smash的风险显著高于最低四分位数患者(OR = 5.942, 95% CI = 2.117 ~ 16.679, P = 0.001)。RCS显示HOMA-IR与MASH风险(P = 0.007)和肝脏指标(LSM: P = 0.045; CAP: P < 0.001)之间存在非线性关联。HOMA-IR与肝脂肪变性和纤维化严重程度增加相关。BMI分别介导了LSM和CAP相关性的34.26%和19.62%。结论监测HOMA-IR对早期发现和干预MASH风险具有重要意义。针对胰岛素抵抗和BMI可能降低MASH的风险和严重程度,强调需要综合治疗策略。
Association between HOMA-IR and metabolic dysfunction-associated steatohepatitis in U.S. adults with MASLD
Background
MASH is a critical point in metabolic dysfunction-associated steatotic liver disease (MASLD). Understanding its association with the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) is essential, as HOMA-IR is a marker for insulin resistance.
Methods
This study analyzed 700 adults from the NHANES 2017–2020, using the FAST score (with thresholds of ≥0.35 and ≥ 0.67) to identify individuals at high MASH risk. Logistic regression assessed HOMA-IR's association with MASH risk, while linear regression evaluated its link to liver stiffness measurement (LSM) and controlled attenuation parameter (CAP). Nonlinear associations were explored using restricted cubic splines (RCS), and BMI's mediation effects were examined through causal mediation analysis.
Results
MASH risk was significantly higher in the highest HOMA-IR quartile compared to the lowest (OR = 5.942, 95 %CI = 2.117–16.679, P = 0.001). RCS revealed nonlinear associations between HOMA-IR and both MASH risk (P = 0.007) and liver metrics (LSM: P = 0.045; CAP: P < 0.001). HOMA-IR correlated with increased hepatic steatosis and fibrosis severity. BMI mediated 34.26 % and 19.62 % of the associations for LSM and CAP, respectively.
Conclusion
Monitoring HOMA-IR is vital for early MASH risk detection and intervention. Targeting insulin resistance and BMI may reduce MASH risk and severity, highlighting the need for integrated therapeutic strategies.