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Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS

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Published on: March 14, 2013

Aging markers in human urine: A comprehensive, non-targeted LC-MS study.

Takayuki Teruya¹, Haruhisa Goga^1,2, Mitsuhiro Yanagida¹

¹G0 Cell Unit Okinawa Institute of Science and Technology Graduate University Okinawa Japan.

FASEB Bioadvances

|December 18, 2020

Summary

Urinary metabolite analysis reveals significant age-related differences in healthy adults. Most metabolites decrease with age, offering insights into aging mechanisms.

Keywords:

LC‐MS creatinine glutathione human endocrine aging non‐targeted metabolomics pseudouridine urinary age markers

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Integration of Miniaturized Solid Phase Extraction and LC-MS/MS Detection of 3-Nitrotyrosine in Human Urine for Clinical Applications

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Published on: July 14, 2017

Area of Science:

Metabolomics
Gerontology
Biochemistry

Background:

Human biofluid metabolites reflect physiological status.
Aging is associated with physiological changes, but urinary metabolite profiles are not fully understood.

Purpose of the Study:

To conduct a comprehensive, non-targeted metabolomic analysis of urine from young and senior adults.
To identify age-related differences in urinary metabolite abundance and their correlation with creatinine.
To explore the potential of urinary metabolites as biomarkers for aging mechanisms.

Main Methods:

Non-targeted, non-invasive metabolomic analysis of urine samples from 27 healthy subjects (13 young, 14 seniors).
Quantitative analysis of 99 metabolites.
Statistical analysis to identify significant differences between age groups and correlation with creatinine.

Main Results:

55 out of 99 analyzed urinary metabolites showed significant age-related abundance differences.
53 metabolites decreased in abundance in elderly individuals, while 2 (glutathione disulfide, myo-inositol) increased.
Most age-linked metabolites correlated with creatinine; 44 metabolites showed no significant age-related changes.

Conclusions:

Urinary metabolomic profiles exhibit significant age-dependent variations.
Specific urinary metabolites can serve as potential biomarkers for aging.
Urinary metabolite analysis provides valuable insights into aging mechanisms, complementing blood metabolomics.