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Dataset Information

Identification and Verification of Biomarkers Related to Polyamine Metabolism in Diabetic Nephropathy.


ABSTRACT:

Background

Kidney damage in chronic kidney disease patients is affected by the degradation products of polyamines. However, the effect of polyamine metabolism-related genes (PM-RGs) in diabetic nephropathy (DN) is not clear. The objective of this study is to elucidate the potential correlation between PM-RGs and DN.

Methods

DN-related datasets and 59 PM-RGs were obtained from the public database. Then, Differentially Expressed Gene 1 (DEG 1) related to DN in GSE142153 and DEG 2 related to PM-RGs were crossed to obtain intersection genes. The gene with the same expression trend in DEG 3 obtained in GSE185011 and DEG 1 was overlapped with the intersection gene to obtain the candidate genes. Thereafter, two machine learning algorithms and ROC curves were adopted to select bioma

SUBMITTER: Zhou S 

PROVIDER: S-EPMC12767236 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature