Abstract | Background: Methods: A cross-sectional study of 1,043 plasma metabolites by untargeted LC/MS among 89 participants identified associations between proteinuria severity and metabolites difference. Pathway analysis from differently expressed metabolites was used to determine perturbed metabolism pathways. The results were replicated in an independent, cross-sectional cohort of 83 individuals. Correlation and prediction values were used to examine the association between plasma metabolites level and proteinuria amount. Results: Conclusions: These findings underscore that serum metabolomics provide us biochemical perspectives to identify some clinically relevant physiopathologic biomarkers of DKD progression.
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Authors | Xiaofeng Peng, Xiaoyi Wang, Xue Shao, Yucheng Wang, Shi Feng, Cuili Wang, Cunqi Ye, Jianghua Chen, Hong Jiang |
Journal | Frontiers in medicine
(Front Med (Lausanne))
Vol. 9
Pg. 819311
( 2022)
ISSN: 2296-858X [Print] Switzerland |
PMID | 35615098
(Publication Type: Journal Article)
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Copyright | Copyright © 2022 Peng, Wang, Shao, Wang, Feng, Wang, Ye, Chen and Jiang. |