Background/Objectives: Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is commonly considered as a hepatic manifestation of metabolic syndrome, posing considerable public health and economic challenges due to its high prevalence. This study investigates the diagnostic potential of serum galectin-1 levels in MASLD patients. Methods: A total of 128 participants were analyzed for this study, comprising 68 healthy controls and 60 MASLD patients. The hepatic steatosis index (HSI) and fatty liver index (FLI) were calculated to evaluate the liver steatosis. Serum galectin-1 levels were measured using an enzyme-linked immunosorbent assay. We additionally conducted a comparative analysis of galectin-1 mRNA and protein expression levels in the liver tissue between the mouse models of MASLD, including ob/ob mice (n = 6), high-fat diet-fed C57 mice (n = 6), and the control group (n = 6). Results: Average serum galectin-1 levels significantly differed between groups, with lower values in the controls (p < 0.01). The frequency of MASLD increased with higher quartiles of galectin-1 levels (p < 0.01). The correlation analysis showed a positive relationship between serum galectin-1 and both HSI and FLI (p < 0.01). The multivariate logistic regression indicated that elevated galectin-1 was associated with an increased risk of MASLD (p < 0.01), yielding an area under the receiver operating characteristic curve for predicting MASLD at 0.745 (95% CI: 0.662-0.829). Hepatic galectin-1 levels were also elevated in the MASLD mouse model at both transcript and protein levels (p < 0.01). Conclusions: Serum galectin-1 can be used as a potential biomarker to help diagnose MASLD.
Feasibility of Serum Galectin-1 as a Diagnostic Biomarker for Metabolic Dysfunction-Associated Steatotic Liver Disease: A Study on a Segment of the Chinese Population Using Convenience Sampling.
血清半乳糖凝集素-1作为代谢功能障碍相关脂肪肝疾病诊断生物标志物的可行性:一项采用便利抽样方法对中国人群进行的研究
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作者:Zeng Ting, Li Fang, Yang Min, Wu Yao, Cui Wei, Mou Huaming, Luo Xiaohe
| 期刊: | Biomedicines | 影响因子: | 3.900 |
| 时间: | 2025 | 起止号: | 2025 Feb 10; 13(2):425 |
| doi: | 10.3390/biomedicines13020425 | 研究方向: | 代谢 |
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