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Fasting insulin to HDL-C ratio is correlated with MASLD severity in Chinese overweight/obesity: a cross-sectional
Xiaojuan Xu1,2, Xincheng Wang1, Lulu Yu1,2
1Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, 300121, China.
Background:
The 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.
Methods:
This 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.
Results:
Participants 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).
Conclusions:
Our 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.
