Article ; Online: Quantification of Gut Microbiota Dysbiosis-Related Organic Acids in Human Urine Using LC-MS/MS.
Molecules (Basel, Switzerland)
2022 Volume 27, Issue 17
Abstract: Urine organic acid contains water-soluble metabolites and/or metabolites—derived from sugars, amino acids, lipids, vitamins, and drugs—which can reveal a human’s physiological condition. These urine organic acids—hippuric acid, benzoic acid, phenylacetic ...
Abstract | Urine organic acid contains water-soluble metabolites and/or metabolites—derived from sugars, amino acids, lipids, vitamins, and drugs—which can reveal a human’s physiological condition. These urine organic acids—hippuric acid, benzoic acid, phenylacetic acid, phenylpropionic acid, 4-hydroxybenzoic acid, 4-hydroxyphenyl acetic acid, 3-hydroxyphenylpropionic acid, 3,4-dihydroxyphenyl propionic acid, and 3-indoleacetic acid—were the eligible candidates for the dysbiosis of gut microbiota. The aim of this proposal was to develop and to validate a liquid chromatography−tandem mass spectrometry (LC-MS/MS) bioanalysis method for the nine organic acids in human urine. Stable-labeled isotope standard (creatinine-d3) and acetonitrile were added to the urine sample. The supernatant was diluted with deionized water and injected into LC-MS/MS. This method was validated with high selectivity for the urine sample, a low limit of quantification (10−40 ng/mL), good linearity (r > 0.995), high accuracy (85.8−109.7%), and high precision (1.4−13.3%). This method simultaneously analyzed creatinine in urine, which calibrates metabolic rate between different individuals. Validation has been completed for this method; as such, it could possibly be applied to the study of gut microbiota clinically. |
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MeSH term(s) | Chromatography, Liquid/methods ; Creatinine ; Dysbiosis ; Gastrointestinal Microbiome ; Humans ; Organic Chemicals ; Tandem Mass Spectrometry/methods ; Water |
Chemical Substances | Organic Chemicals ; Water (059QF0KO0R) ; Creatinine (AYI8EX34EU) |
Language | English |
Publishing date | 2022-08-23 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 1413402-0 |
ISSN | 1420-3049 ; 1431-5165 ; 1420-3049 |
ISSN (online) | 1420-3049 |
ISSN | 1431-5165 ; 1420-3049 |
DOI | 10.3390/molecules27175363 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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