ArticleBMC endocrine disorders2026
Fasting insulin to HDL-C ratio is correlated with MASLD severity in Chinese overweight/obesity: a cross-sectional analysis.
Article in BMC endocrine disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThe fasting insulin to high-density lipoprotein cholesterol ratio (FINS/HDL-C) is a newly identified insulin resistance (IR) marker. And the correlation between FINS/HDL-C and metabolic dysfunction-associated steatotic liver disease (MASLD) has not yet been explored, our study investigated the association between FINS/HDL-C and MASLD severity.
methodsThis cross-sectional study included 330 participants with overweight/obesity and MASLD. Demographic information and biochemical indicators were collected, and IR markers including FINS/HDL-C, homeostatic model assessment for insulin resistance (HOMA-IR), triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C), and triglyceride glucose index (TyG), were calculated. MASLD severity was assessed using the controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) determined by FibroScan. The relationship between FINS/HDL-C and MASLD severity was evaluated and compared with that of other IR markers.
resultsParticipants with higher CAP and LSM exhibited significantly higher FINS/HDL-C (P < 0.05). Even in the fully adjusted linear regression model, FINS/HDL-C remains positively correlated with CAP (β = 0.33, 95% CI 0.09 ~ 0.58, P = 0.009) and LSM (β = 0.05, 95% CI 0.02 ~ 0.08, P < 0.001). And FINS/HDL‑C was the only biomarker that showed elevated CAP at Quartile 2. Exploratory analysis suggested that BMI might be involved in the association between FINS/HDL-C and CAP and LSM. FINS/HDL-C had the highest area under the receiver operating characteristic curve for severe hepatic steatosis, at 0.699 (95% CI: 0.639 ~ 0.758).
conclusionsOur findings suggest that FINS/HDL-C is associated with MASLD severity in overweight/obese individuals. It might serve as a valuable biomarker for MASLD risk stratification.
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