ApoJ and apoL1 as novel determinants of MASH: a cross-sectional study.

Zichun Cai, Souad Najib, María A Núñez-Sánchez, María A Martínez-Sánchez, Carmen García-Melgares, Nathalie Viguerie, Joana Rossell, Josep Julve, Mikaël Croyal, Arsênio Rodrigues Oliveira, Carlos M Martínez, Sébastien J Dumas, Annelise Genoux, María D Frutos, Bruno Ramos-Molina, Laurent O Martinez

Journal: Lipids in health and disease 2025;24(1):319

PMID: 41088161

Abstract

BACKGROUND

Plasma apolipoproteins are linked to cardiometabolic dysfunctions, but their potential as biomarkers for metabolic dysfunction-associated steatohepatitis (MASH) remains underexplored.

METHODS

Plasma levels of 14 apolipoproteins (apoA-I, A-II, A-IV, B100, C-I, C-II, C-III, D, E, F, H, J, L1, M) were quantified using liquid chromatography-tandem mass spectrometry in a cross-sectional study of 148 individuals with obesity undergoing bariatric surgery. Based on liver histology, participants were categorized as non-MASH (n = 94; no liver alterations or simple steatosis, ≥ 5% intrahepatic fat) or MASH (n = 54; steatosis with ballooning and lobular inflammation, with or without fibrosis). Correlations with clinical and biochemical parameters were assessed via Spearman's rank correlation, and associations with MASH were evaluated using logistic regression. Incremental predictive value beyond established risk factors was assessed through likelihood ratio tests (LRT), net reclassification improvement (NRI), and integrated discrimination improvement (IDI).

RESULTS

ApoC-III and apoL1 were significantly higher in MASH compared with non-MASH participants, while other apolipoproteins showed no group differences. Higher apoE, apoL1 and apoJ levels were associated with increased odds of MASH, independently of age and sex. Associations for apoL1 and apoJ remained significant after adjustment for diabetes, dyslipidemia, and hypertension, or for established MASH risk factors including insulin resistance, triglycerides, waist circumference, and the AST/ALT ratio. LRT analyses showed that apoJ (ΔDeviance = 4.085, p = 0.043) and apoL1 (ΔDeviance = 3.954, p = 0.047) each improved model fit, with their combination providing additional improvement (ΔDeviance = 7.534, p = 0.023). NRI analysis indicated that the combination of apoJ and apoL1 provided the largest improvement (NRI total = 0.39, p = 0.026), mainly by correctly reclassifying non-MASH individuals (NRI non-event = 0.31, p = 0.0023). IDI was also greatest for the combination (IDI = 0.04, p = 0.034), indicating enhanced discrimination between MASH and non-MASH individuals. In an external cohort, the elevation of plasma apoJ in MASH was consistently replicated, whereas apoL1, apoC-III, and apoE showed no such pattern.

CONCLUSIONS

Plasma apoJ and apoL1 may serve as potential biomarkers for diagnosing MASH in individuals with obesity, independent of traditional risk factors. Further validation in larger cohorts and mechanistic studies is warranted.

© 2025. The Author(s).

Address: Université de Toulouse, Inserm, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), 1 Avenue du Pr. Jean Poulhès BP 84225, UMR1297, Toulouse, 31432, France.; IHU HealthAge, Toulouse, France.; Obesity, Diabetes, and Metabolism Laboratory, Biomedical Research Institute of Murcia (IMIB), Murcia, 30120, Spain.; Université de Toulouse, Inserm, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), 1 Avenue du Pr. Jean Poulhès BP 84225, UMR1297, Toulouse, 31432, France.; Group of Endocrinology, Diabetes and Nutrition, Institut de Recerca Sant Pau, Barcelona, 08041, Spain.; CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III, Madrid, 28029, Spain.; Nantes Université, CNRS, INSERM, L'institut du Thorax, Nantes, 44000, France.; Nantes Université, CHU Nantes, CNRS, INSERM, BioCore, US16, SFR Bonamy, Nantes, F-44000, France.; CRNH-Ouest Mass Spectrometry Core Facility, Nantes, 44000, France.; Nantes Université, CNRS, INSERM, L'institut du Thorax, Nantes, 44000, France.; Experimental Pathology Platform, Biomedical Research Institute of Murcia (IMIB), Murcia, Spain.; Department of Anatomy and Comparative Pathology, Faculty of Veterinary Science, University of Murcia, Campus de Espinardo, Murcia, 30100, Spain.; Department of General and Digestive System Surgery, Virgen de La Arrixaca University Hospital, Murcia, 30120, Spain.; Université de Toulouse, Inserm, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), 1 Avenue du Pr. Jean Poulhès BP 84225, UMR1297, Toulouse, 31432, France. [email protected].; IHU HealthAge, Toulouse, France. [email protected].
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