Evaluation of amino acids and other related metabolites levels in end-stage renal disease (ESRD) patients on hemodialysis by LC/MS/MS and GC/MS

Analytical and bioanalytical chemistry(2023)

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摘要
End-stage renal disease (ESRD) is a rapidly increasing health problem, and every year, about 2 million ESRD cases are reported worldwide. Hemodialysis (HD) is the vital renal reinstatement therapy for ESRD, and HD patterns play a crucial role in patients’ health. Plasma metabolomics is the potential approach to understanding the HD process, effectiveness, and patterns. The lack of protein vitality is a primary problem for HD patients, and the quantities of amino acids intracellularly and in the blood are considered to be a symbolic index of protein metabolism and nutrition conditions. In the current study, LC/MS/MS and GC/MS methods were developed for 29 targeted plasma metabolites and validated as per ICH bioanalytical method validation M10 guidelines. The 29 metabolites included 20 proteinogenic amino acids and nine other related metabolites. The methods were employed to measure the absolute quantities (µM) of the targeted metabolites in HD patients ( n =60) before and after dialysis (PRE-HD and POST-HD), and compared with the healthy control (HC) group ( n =60). Phenylacetylglutamine was found to be higher in both PRE-HD (72.88±14.5 µM) and POST-HD (26.62±7.9 µM), when compared to HC (1.61±0.6 µM). On the other hand, glutamic acid was lower in PRE-HD (14.90±6.5 µM), and POST-HD (13.6±6.1 µM) than that of HC (245.4±37.8 µM). The dialytic loss was found to be 52–45% for arginine, lysine, and histidine, while it was 38–26% for glycine, cysteine, proline, alanine, threonine, glutamine, valine, and methionine. The dialytic loss was low (≤12%) for aspartic acid, glutamic acid, asparagine, leucine, tyrosine, tryptophan, and isoleucine. Graphical Abstract Graphical abstract adapted from mass spectrometry templates by Biorender.com retrieved from https://app.biorender.com/biorender-templates .
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关键词
End-stage renal disease,Hemodialysis,Targeted metabolomics,Amino acids,LC/MS/MS,GC/MS
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