Unveiling NLR pathway signatures: EP300 and CPN60 markers integrated with clinical data and machine learning for precision NASH diagnosis

IF 3.7 3区医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Cytokine Pub Date : 2025-02-08 DOI:10.1016/j.cyto.2025.156882

Marwa Matboli , Noha E. El-Attar , Ibrahim Abdelbaky , Radwa Khaled , Maha Saad , Amani Mohamed Abdel Ghani , Eman Barakat , Reginia Nabil Mikhail Guirguis , Eman Khairy , Shaimaa Hamady

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引用次数: 0

Abstract

Background

Given the increasing prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD) and non-alcoholic steatohepatitis (NASH), there is a critical need for accurate non-invasive early diagnostic markers.

Objective

This study aimed to validate NLRP3-related RNA signatures (EP300, CPN60, and ITGB1 mRNAs, miR-6881-5p, and LncRNA-RABGAP1L-DT-206) using an integrated molecular approach and advanced machine-learning algorithms to identify robust biomarkers for early diagnosis of NASH.

Methods

A cohort of 237 participants (117 Healthy controls, 60 MAFLD, 120 NASH) was utilized. Twenty-five demographic, clinical, and molecular features were collected from each participant. Various machine learning models were trained on the dataset.

Results

The Random Forest algorithm emerged as the most effective classifier. The model identified nine key features: EP300 mRNA, CPN60 mRNA, AST, D. bilirubin, Albumin, GGT, HbA1c, HOMA-IR, and BMI, achieving an impressive 97 % accuracy in distinguishing NASH from non-NASH cases.

Conclusion

The integration of molecular, clinical, and demographic data with machine learning algorithms provides a highly accurate method for the early diagnosis of NASH. This model holds promise for early detection in individuals at risk of progressing to cirrhosis or liver cancer and may aid in identifying new therapeutic targets for managing NASH.

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来源期刊

Cytokine 医学-免疫学

CiteScore

7.60

自引率

2.60%

发文量

262

审稿时长

48 days

期刊介绍： The journal Cytokine has an open access mirror journal Cytokine: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. * Devoted exclusively to the study of the molecular biology, genetics, biochemistry, immunology, genome-wide association studies, pathobiology, diagnostic and clinical applications of all known interleukins, hematopoietic factors, growth factors, cytotoxins, interferons, new cytokines, and chemokines, Cytokine provides comprehensive coverage of cytokines and their mechanisms of actions, 12 times a year by publishing original high quality refereed scientific papers from prominent investigators in both the academic and industrial sectors. We will publish 3 major types of manuscripts: 1) Original manuscripts describing research results. 2) Basic and clinical reviews describing cytokine actions and regulation. 3) Short commentaries/perspectives on recently published aspects of cytokines, pathogenesis and clinical results.