Exploring abnormal metabolism in kidney stone patients and developing drugs for kidney stone treatment and their mechanisms of action.
For eligible subjects who meet the inclusion and exclusion criteria, one tube (approximately 4 mL each) of blood and urine samples collected prior to surgery during hospitalization and already tested in clinical laboratories will be gathered. Serum will be separated from the blood samples, while the entire urine sample will be submitted without processing, for further targeted metabolomics analysis. By analyzing the results of targeted metabolomic profiling of amine-related substances, differences in amines and metabolites in blood and urine between kidney stone patients and healthy individuals will be assessed. By measuring and comparing the levels of amine compounds in blood and their corresponding metabolites in urine, statistical analysis will be performed to identify specific amines that are elevated in blood and whose metabolites are simultaneously increased in urine. The underlying mechanisms of these elevations will be further investigated through experimental studies.
Study Type
OBSERVATIONAL
Enrollment
20
Detect the levels of metabolites in blood and urine
The First Affiliated Hospital of Air Force Medical University of the Chinese People's Liberation Army
Xi'an, Shaanxi, China
Using liquid chromatography to measure the levels of 21 neurotransmitters and 5 biogenic amines in the blood, as well as 51 gut microbiota-derived metabolites in the urine, of patients with kidney stones and those without.
Blood and urine samples were collected from kidney stone patients and non-stone controls. Absolute concentrations of 21 neurotransmitters (e.g., dopamine, L-tyrosine, serotonin, 5-HIAA, tyramine) and 5 biogenic amines (spermidine, spermine, putrescine, ornithine, arginine) in blood, and 51 gut microbiota-derived metabolites (e.g., uric acid, shikimic acid, L-tryptophan, indoxyl-β-D-glucoside, 4-hydroxyphenylacetic acid, etc.) in urine were quantified using liquid chromatography. All concentrations are reported in ng/g. Statistical analyses compared metabolite levels between groups and assessed their associations with kidney stone disease.
Time frame: 25.08.01-25.11.01
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