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September 20, 2025Frontiers in PhysiologyOpen Access

Identification of key lipid metabolism-related genes in kidney fibrosis: implications for chronic kidney disease management

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Authors

QCQiuyu CaoLLLonghui LiuSZSai Zhou

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Overview

Identification of lipid metabolism-related genes in kidney fibrosis reveals biomarker potential and suggests treatment strategies.

Key Points

  • Identified six core lipid metabolism-related genes likely linked to kidney fibrosis pathology, crucial for chronic kidney disease.
  • The model incorporating these six genes achieved area under the curve values between 0.723 and 0.774, indicating good diagnostic performance.
  • Utilizing machine learning and unsupervised clustering, three distinct kidney fibrosis subtypes associated with lipid metabolism were established.
  • The regulatory network suggests interplay between lipid metabolism and immune responses may influence kidney fibrosis progression.

Cite This Study

Cao et al. (2025) studied this question.

synapsesocial.com/papers/68d439f4713b0b5dfea79aa5https://doi.org/10.3389/fphys.2025.1652513
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Also Consider

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  1. 1Identification of Key Genes Related to Both Lipid Metabolism Disorders and Inflammation in MAFLD2025
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  4. 4Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism2025
  5. 5Identification and validation of key biomarkers of the glycolysis-ketone body metabolism in heart failure based on multi-omics and machine learning2025