September 5, 2025Frontiers in EndocrinologyOpen Access

Identification of potential biomarkers for diabetic nephropathy via UPLC-MS/MS-based metabolomics

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Discussion

This observational study identifies key metabolites associated with diabetic nephropathy, suggesting novel diagnostic approaches.

Results revealed 74, 86, and 107 differential metabolites across diabetes and diabetic nephropathy groups compared to controls.
Key metabolites, such as lactate and L-tryptophan, were highlighted as potential biomarkers for diabetic nephropathy and therapeutic targets.
Using UPLC-MS/MS, metabolic profiles from 100 participants were analyzed, including groups with varying albuminuria levels.
The findings may improve early identification and management of diabetic nephropathy, enabling targeted treatment strategies.

Chen et al. (2025) studied this question.

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September 5, 2025Frontiers in EndocrinologyOpen Access

View Full Paper

Ask AI

Bookmark

Authors

This observational study identifies key metabolites associated with diabetic nephropathy, suggesting novel diagnostic approaches.

Results revealed 74, 86, and 107 differential metabolites across diabetes and diabetic nephropathy groups compared to controls.
Key metabolites, such as lactate and L-tryptophan, were highlighted as potential biomarkers for diabetic nephropathy and therapeutic targets.
Using UPLC-MS/MS, metabolic profiles from 100 participants were analyzed, including groups with varying albuminuria levels.
The findings may improve early identification and management of diabetic nephropathy, enabling targeted treatment strategies.

Chen et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark