Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence

Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence

BackgroundDiabetic nephropathy (DN) is a complication of systemic microvascular disease in diabetes mellitus. Abnormal glycolysis has emerged as a potential factor for chronic renal dysfunction in DN. The current lack of reliable predictive biomarkers hinders early diagnosis and personalized therapy...

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Bibliographic Details
Main Authors: Xiaoyin Wu, Buyu Guo, Xingyu Chang, Yuxuan Yang, Qianqian Liu, Jiahui Liu, Yichen Yang, Kang Zhang, Yumei Ma, Songbo Fu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Immunology
Subjects:
diabetic nephropathy
glycolysis
machine learning
diagnostic signatures
single cell
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1427626/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2024.1427626/full

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