Key result
Specific lipoprotein subclasses identify lean and overweight MASLD with ~0.7 diagnostic accuracy.
Why the study?
Do lipoprotein subclass profiles differ between lean and overweight patients with metabolic dysfunction-associated steatotic liver disease (MASLD)?
Cross-Sectional (n=2,013)
Do lipoprotein subclass profiles differ between lean and overweight patients with metabolic dysfunction-associated steatotic liver disease (MASLD)?
Answers are grounded in this paper and cite their sources.
Lean and overweight patients with MASLD exhibit distinct HDL and LDL subfraction profiles, which may serve as specific biomarkers for the disease across different BMI categories.
Background To investigate biomarker differences among patients with metabolic dysfunction-associated steatotic liver disease (MASLD) across body mass index (BMI) types, we analyzed clinical data from 2,013 subjects and serum samples from 402 patients. The clinical characteristics and lipoprotein subclass profiles were evaluated. Methods Participants were grouped based on BMI into overweight MASLD (113 participants), overweight controls (107 participants), lean MASLD (83 participants), and lean controls (99 participants). Serum samples from each group underwent nuclear magnetic resonance-based metabolomic analyses, and clinical and omics data were compared between the lean and overweight MASLD groups and paired control cohorts. Results Our study demonstrated distinct omics characteristics for lean MASLD compared with their overweight equivalents. Metabolomic analysis of the serum from the four groups identified six lipoprotein subclasses with significant diagnostic accuracy (area under the curve (AUC) > 0.7), unique to lean individuals with MASLD. In contrast, overweight patients with MASLD had 13 unique lipoprotein subclasses that exhibited a high diagnostic value. These lipoproteins correlate with clinical parameters, such as uric acid, urea, creatinine, eosinophils, blood glucose, and alanine aminotransferase. Conclusion Lean and overweight patients with MASLD display unique lipoprotein omics characteristics in an Asian population, primarily involving high-density lipoprotein (HDL) and low-density lipoprotein (LDL) subcomponents, suggesting their potential as effective biomarkers.
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Yu et al. (2026) conducted a cross-sectional in Metabolic dysfunction-associated steatotic liver disease (MASLD) (n=2,013). MASLD in lean and overweight BMI categories vs. Paired lean and overweight controls was evaluated on Diagnostic accuracy of lipoprotein subclasses (AUC > 0.7). Lean and overweight patients with MASLD displayed unique lipoprotein omics characteristics, with 6 and 13 unique lipoprotein subclasses respectively showing significant diagnostic accuracy.
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