Metabolic profile of urine of albuminuric and non-albuminuric nephropathic diabetic patients suggests tricarboxylic acid (TCA)-cycle related biomarkers
Authors' conclusion
Urinary metabolites related to tricarboxylic acid (TCA) and purine metabolism can potentially serve as a marker to individualize therapeutic choices in DKD, especially for non-albuminuric phenotype.
Study context
- Population
- Healthy controls and diabetic kidney disease (DKD) patients with and without albuminuria; urine samples
- Participants
- 23 / 17 / 5 / 12
- Exposure
- DKD vs healthy controls
- Healthy controlsn = 23reference
- DKDn = 17
- NA-DKDn = 5
- A-DKDn = 12
- Outcome
- Potential urinary metabolic biomarkers
Methodological detailsnon-targeted 1H NMR metabolomics
- Non-targeted 1H NMR metabolomics
Main finding
As reported in the abstract
Urinary metabolites
- Correlation of citrate with albuminuria (strongest negative)
- r = −0.65, p < 0.0001
- Correlation of hypoxanthine with albuminuria
- r = −0.49, p = 0.004
- Correlation of isobutyrate with albuminuria
- r = −0.45, p = 0.004
- Correlation of formate with albuminuria
- r = −0.41, p = 0.009
- Correlation of glycolate with albuminuria
- r = 0.46, p = 0.003
- Correlation of taurine with albuminuria
- r = 0.47, p = 0.007
- Correlation of trans-aconitate with albuminuria
- r = 0.41, p = 0.05
Observational data: associations, not effects.
Further findings
NA-DKD vs A-DKD
- Glycine decreased and alanine increased in NA-DKD vs A-DKD
ROC analysis: normal vs higher albuminuria
- Citrate, hypoxanthine and taurine identified as key predictors
Original publication
Metabolic profile of urine of albuminuric and non-albuminuric nephropathic diabetic patients suggests TCA-cycle related biomarkers. Diabetes Res Clin Pract. Published 8 May 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →