Evidence map›Paper›PMID 26914934›Full record

ArticlePloS one2016

Metabolomics Reveals Dynamic Metabolic Changes Associated with Age in Early Childhood.

Chih-Yung Chiu, Kuo-Wei Yeh, Gigin Lin, Meng-Han Chiang, Shu-Chen Yang, Wei-Ju Chao, Tsung-Chieh Yao, Ming-Han Tsai, Man-Chin Hua, Sui-Ling Liao and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

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  5. Urinary metabolic age from high-resolution nuclear magnetic resonance spectroscopy reveals longitudinal aging patterns.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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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

13 authors at 4 institutions in 1 country.

Chih-Yung ChiuDepartment of Pediatrics, Chang Gung Memorial Hospital at Keelung, and Chang Gung University, Taoyuan, Taiwan.
Kuo-Wei YehCommunity Medicine Research Centre, Chang Gung Memorial Hospital, Keelung, Taiwan.
Gigin LinDepartment of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, and Chang Gung University, Taoyuan, Taiwan.
Meng-Han ChiangCommunity Medicine Research Centre, Chang Gung Memorial Hospital, Keelung, Taiwan.
Shu-Chen YangDepartment of Nutrition Therapy, Chang Gung Memorial Hospital, Keelung, Taiwan.
Wei-Ju ChaoDepartment of Nutrition Therapy, Chang Gung Memorial Hospital, Keelung, Taiwan.
Tsung-Chieh YaoCommunity Medicine Research Centre, Chang Gung Memorial Hospital, Keelung, Taiwan.
Ming-Han TsaiDepartment of Pediatrics, Chang Gung Memorial Hospital at Keelung, and Chang Gung University, Taoyuan, Taiwan.
Man-Chin HuaDepartment of Pediatrics, Chang Gung Memorial Hospital at Keelung, and Chang Gung University, Taoyuan, Taiwan.
Sui-Ling LiaoDepartment of Pediatrics, Chang Gung Memorial Hospital at Keelung, and Chang Gung University, Taoyuan, Taiwan.
Shen-Hao LaiCommunity Medicine Research Centre, Chang Gung Memorial Hospital, Keelung, Taiwan.
Mei-Ling ChengGraduate Institute of Medical Biotechnology, Chang Gung University, Taoyuan, Taiwan.
Jing-Long HuangCommunity Medicine Research Centre, Chang Gung Memorial Hospital, Keelung, Taiwan.
Chang Gung University · TWChang Gung Memorial Hospital · TWLinkou Chang Gung Memorial Hospital · TWKeelung Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesA detailed understanding of the metabolic processes governing rapid growth in early life is still lacking. The aim of this study was to investigate the age-related metabolic changes in healthy children throughout early childhood.

methodsHealthy children from a birth cohort were enrolled in this study from birth through 4 years of age. Urinary metabolites were assessed at 6 months, and 1, 2, 3, and 4 yr of age by using 1H-nuclear magnetic resonance (NMR) spectroscopy coupled with multivariate statistical analysis including principal components analysis (PCA) and partial least-squares discriminant analysis (PLS-DA). Metabolic pathway analysis was performed using the MetPA web tool.

resultsA total of 105 urine samples from 30 healthy children were collected and analyzed. Metabolites contributing to the discrimination between age groups were identified by using supervised PLS-DA (Q2 = 0.60; R2 = 0.66). A significantly higher urinary trimethylamine N-oxide (TMAO) and betaine level was found in children aged 6 months. Urinary glycine and glutamine levels declined significantly after 6 months of age and there was a concomitant compensatory increase in urinary creatine and creatinine. Metabolic pathway analysis using MetPA revealed similar nitrogen metabolism associated energy production across all ages assessed. Pathways associated with amino acid metabolism were significantly different between infants aged 6 months and 1 year, whereas pathways associated with carbohydrate metabolism were significantly different between children at ages 2 and 3 years.

conclusionsUrine metabolomics ideally represents dynamic metabolic changes across age. Urinary metabolic profiles change significantly within the first year of life, which can potentially provide crucial information about infant nutrition and growth.

Indexed as

MetabolomicsAgingChild, PreschoolFemaleHumansInfantMale

Identifiers

PMID26914934
PMCPMC4767415
OpenAlexW2287844904

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.