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August 18, 2025BiomedicinesOpen Access

Identification of Novel Lactylation-Related Biomarkers for COPD Diagnosis Through Machine Learning and Experimental Validation

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Authors

CHChundi HuWQW. B. QianRWR D Wei

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Overview

Machine learning reveals lactylation biomarkers in COPD, suggesting new diagnostic tools and mechanisms involved.

Key Points

  • Lactylation-related biomarkers CBR1 and PRDX1 showed high diagnostic accuracy in COPD, indicating their potential use in diagnosis.
  • Using integrated transcriptomic approaches, AUC values exceeded 0.85 for both biomarkers across multiple datasets, underscoring their significance.
  • The study applied various algorithms, including LASSO and SVM–RFE, to screen for biomarkers linked to COPD pathogenesis.
  • Experimental validation confirmed both biomarkers' upregulation in CSE-induced COPD models, emphasizing their role in immune response.

Cite This Study

Hu et al. (2025) studied this question.

synapsesocial.com/papers/68af2edecf1dd9ea359e647fhttps://doi.org/10.3390/biomedicines13082006
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