Characterization of LC-MS based urine metabolomics in healthy children and adults

Author:

Liu Xiaoyan1,Tian Xiaoyi23,Qinghong Shi4,Sun Haidan1,Jing Li1,Tang Xiaoyue1,Guo Zhengguang1,Liu Ying2,Wang Yan2,Ma Jie2,Na Ren2,He Chengyan4,Song Wenqi23,Sun Wei1

Affiliation:

1. Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China

2. Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China

3. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing, China

4. China-Japan Union Hospital of Jilin University, Jilin, China

Abstract

Previous studies reported that sex and age could influence urine metabolomics, which should be considered in biomarker discovery. As a consequence, for the baseline of urine metabolomics characteristics, it becomes critical to avoid confounding effects in clinical cohort studies. In this study, we provided a comprehensive lifespan characterization of urine metabolomics in a cohort of 348 healthy children and 315 adults, aged 1 to 78 years, using liquid chromatography coupled with high resolution mass spectrometry. Our results suggest that sex-dependent urine metabolites are much greater in adults than in children. The pantothenate and CoA biosynthesis and alanine metabolism pathways were enriched in early life. Androgen and estrogen metabolism showed high activity during adolescence and youth stages. Pyrimidine metabolism was enriched in the geriatric stage. Based on the above analysis, metabolomic characteristics of each age stage were provided. This work could help us understand the baseline of urine metabolism characteristics and contribute to further studies of clinical disease biomarker discovery.

Funder

National Natural Science Foundation of China

Beijing Medical Research

CAMS Innovation Fund for Medical Sciences

Special Fund of the Pediatric Medical Coordinated Development Center of Beijing Hospitals Authority

Beihang University and Capital Medical University Advanced Innovation Centre for Big Data-Based Precision Medicine Plan

Beijing Talents Fund

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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