Key result
Weighted gene co-expression network analysis identified turquoise (r = -0.69) and purple (r = 0.65) modules as having the highest significant correlations with the large proteinuria stage in diabetic kidney disease.
Population
23 peripheral blood samples from patients with Diabetic Kidney Disease (DKD)
Design
Other
Authors
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WGCNA-identified DKD genes are hypothesis-generating; validation studies needed before any clinical application.
Cross-Sectional (n=23)
No
Effect estimate: r = -0.69
p-value: p=4x10^-4
WGCNA identified DCN, F2R, LTBP2, B2M, PSMB8, and NLRC5 as potential diagnostic and therapeutic biomarker targets for diabetic kidney disease.
Chen et al. (2020) conducted a cross-sectional in Diabetic kidney disease (n=23). Gene co-expression modules was evaluated on Correlation of module eigengene with large proteinuria stage (Group C) (r = -0.69, p=4x10^-4). Weighted gene co-expression network analysis identified turquoise (r = -0.69) and purple (r = 0.65) modules as having the highest significant correlations with the large proteinuria stage in diabetic kidney disease.
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