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pmid:40726500
Serum LEAP2 Levels Across the Spectrum of Metabolic Dysfunction-Associated Fatty Liver Disease: A Potential Noninvasive Biomarker for Severity Stratification.
Xinyang Huang · Zihao Deng · Xiaozhou Li · Songxin Yan · Kunjiang Zhong · Fengning Yuan · Ligang Liu · Chaolin Deng · Tingting Liu · Ruizhao Zhao · Amin Buhe · Tianxiong Li · Hao Zhao
Diabetes, metabolic syndrome and obesity : targets and therapy · 2025 doi:10.2147/DMSO.S536270
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Experiment
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Complete file
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Serum levels LEAP2 were quantified using enzyme-linked immunosorbent assay (ELISA). Baseline characteristics were compared among groups, followed by univariable and multivariate ordinary logistic regression to identify MAFLD predictors. The diagnostic performance of LEAP2 was evaluated through receiver operating characteristic (ROC) curve analysis. Additionally, Hepatic LEAP2 transcriptomic data from public Gene Expression Omnibus (GEO) datasets (GSE126848, GSE135251) were analyzed for validation.\nResults: Seventy-four participants (24 HC, 24 SS, 26 MASH) were analyzed. Serum LEAP2 levels significantly and progressively increased with MAFLD severity (median ng/mL: HC 11.54, SS 13.62, MASH 18.34; P<0.001), correlating positively with disease stage (Spearman's ρ=0.526, P<0.001). This pattern was validated using hepatic LEAP2 transcript data from GEO datasets (P<0.001; Spearman's ρ=0.317, P<0.001). Multivariate logistic regression identified serum LEAP2 as an independent factor associated with MAFLD presence (OR=1.14, 95% CI 1.03-1.26; P=0.014), alongside BMI and ALT, while HDL was protective. ROC analysis demonstrated good diagnostic performance for distinguishing MASH from HC (AUC=0.86) and moderate performance for adjacent stages (HC vs SS, AUC=0.70; SS vs MASH, AUC=0.70).\nConclusion: Serum LEAP2 levels progressively increase with MAFLD severity and are independently associated with the disease. LEAP2 demonstrates potential as a noninvasive biomarker for assessing MAFLD severity, particularly in distinguishing MASH from healthy individuals. These findings warrant further investigation into LEAP2's pathophysiological role and therapeutic potential.", "claims": [{"id": "claim-method", "statement": "Univariate and multivariate analyses were performed via ordinary logistic regression, with significant factors from univariate analysis included in the multivariate model following stepwise selection and assessment of clinical relevance. Receiver operating characteristic (ROC) curve analysis was conducted to determine the area under the curve (AUC).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40726500", "locator": "sections[7] \"Statistical Analysis\" paragraph 2", "quote": "Univariate and multivariate analyses were performed via ordinary logistic regression, with significant factors from univariate analysis included in the multivariate model following stepwise selection and assessment of clinical relevance. 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Baseline characteristics were compared amo", "C). Serum levels LEAP2 were quantified using enzyme-linked immunosorbent assay (ELISA). Baseline characteristics were compa"], "order_basis": "paper_text_order:641", "id": "assay:1"}, {"role": "analysis", "definition_id": "regression_modelling", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["glm_logit_fit"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Univariate and multivariate analyses were performed via ordinary logistic regression, with significant factors from univariate analysis included in the multivariate model following stepwise selection and assessment of clinical relevance. Receiver operating characteristic (ROC) curve analysis was conducted to determine the area under the curve (AUC)."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}