What question did this study set out to answer?

Plasma Amino Acid Signatures Associated with Disease Progression and Hypertension in Autosomal Dominant Polycystic Kidney Disease: A Targeted Metabolomics and Machine Learning Approach

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial identifies plasma amino acid signatures predicting disease progression and hypertension in ADPKD, suggesting potential biomarkers.

This study aims to identify plasma amino acid signatures associated with disease progression and hypertension in ADPKD patients.
Conducted targeted metabolomic analysis (LC-MS/MS) on 203 ADPKD patients.
Developed Support Vector Machine (SVM) models to predict outcomes using clinical data and amino acid profiles.
Stratified patients based on disease progression (rapid vs. slow) and hypertension status.
Specific amino acid signatures (valine, glutamic acid, homocitrulline, methylhistidines) were significantly elevated in rapid progression and hypertensive groups.
Isoleucine and citrulline were elevated in rapid progressors, while phenylalanine, leucine, asparagine, and arginine were elevated in hypertensive patients.
Integrating clinical and metabolic data modestly improved prediction accuracy for progression and hypertension.

Kianmehr et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

Randomized trial identifies plasma amino acid signatures predicting disease progression and hypertension in ADPKD, suggesting potential biomarkers.