Evidence map›Paper›PMID 35762019›Full record

ArticlePeerJ2022

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

Xiaoyan Liu, Xiaoyi Tian, Shi Qinghong, Haidan Sun, Li Jing, Xiaoyue Tang, Zhengguang Guo, Ying Liu, Yan Wang, Jie Ma and 4 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Xiaoyan Liu *Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Xiaoyi Tian *Department of Clinical Laboratory, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Shi QinghongChina-Japan Union Hospital of Jilin University, Jilin, China.
Haidan SunProteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Li JingProteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Xiaoyue TangProteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Zhengguang GuoProteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Ying LiuDepartment of Clinical Laboratory, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Yan WangDepartment of Clinical Laboratory, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Jie MaDepartment of Clinical Laboratory, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Ren NaDepartment of Clinical Laboratory, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Chengyan HeChina-Japan Union Hospital of Jilin University, Jilin, China.
Wenqi SongDepartment of Clinical Laboratory, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Wei SunProteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing Children’s Hospital · CNCapital Medical University · CNJilin University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Body FluidsTandem Mass SpectrometryAdolescentAdultAgedBiomarkersChildChromatography, LiquidHumansMetabolomicsBiomarkersAdultsCharacterizationChildrenMetabolomicsUrine

Identifiers

PMID35762019
PMCPMC9233480
OpenAlexW4283390412

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.