Evidence map›Paper›PMID 33580996›Full record

Observational studyClinical and translational science2021

Metabolomics analysis of the serum from children with urolithiasis using UPLC-MS.

Junxiang Wen, Yinyin Cao, Yang Li, Fenhua Zhu, Meifen Yuan, Jin Xu, Jian Li

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Clinical and translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 19 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

7 authors at 1 institution in 2 countries.

Junxiang WenClinical Laboratory Center, Children's Hospital of Fudan University, Shanghai, China.
Yinyin CaoCardiovascular Center, Children's Hospital of Fudan University, Shanghai, China.
Yang LiClinical Laboratory Center, Children's Hospital of Fudan University, Shanghai, China.
Fenhua ZhuClinical Laboratory Center, Children's Hospital of Fudan University, Shanghai, China.
Meifen YuanClinical Laboratory Center, Children's Hospital of Fudan University, Shanghai, China.
Jin XuClinical Laboratory Center, Children's Hospital of Fudan University, Shanghai, China.
Jian LiClinical Laboratory Center, Children's Hospital of Fudan University, Shanghai, China.
Children's Hospital of Fudan University · CN

Funding

Children's Hospital of Fudan University 2020DSJ07National Natural Science Foundation of China 81670281Shanghai Municipal Commission of Science and Technology Research Project 18140900304Shanghai Municipal Commission of Science and Technology Research Project 19140900902
6 · The paper itself

Abstract

Pediatric urolithiasis is a common urologic disease with high morbidity and recurrence rates. Recent studies have shown that metabolic dysfunction plays a vital role in the pathogenesis of urolithiasis, especially in children, but the specific mechanism is still unclear. Metabolomics is an ideal technology for exploring the mechanism of metabolic disorders in urolithiasis. In the present study, a serum metabolomics based on ultra-performance liquid chromatography mass spectrometry was performed. A total of 50 children subjects were recruited for the study, including 30 patients with kidney stones and 20 normal controls (NCs). Principal component analysis and orthogonal partial least-squares determinant analysis were carried, and 40 metabolites were found to be significantly altered in patients with kidney stones, mainly involving retinol metabolism, steroid hormone biosynthesis, and porphyrin and chlorophyll metabolism. The kidney stone group appeared to have a lower serum level of bilirubin, but a relative higher level of retinal, all-transretinoic acid, progesterone, and prostaglandin E2 compared with those of the NC group. All the findings suggest that patients with urolithiasis have several metabolic characteristics, which are related to stone formation or compensation. These metabolites and pathways are very likely associated with development of kidney stones and should be considered as potential novel targets for treatment and prevention.

Indexed as

BiomarkersCase-Control StudiesChildChild, PreschoolChromatography, High Pressure LiquidFemaleHumansInfantMaleMetabolomicsPrincipal Component AnalysisTandem Mass SpectrometryUrolithiasisBiomarkers

Identifiers

PMID33580996
PMCPMC8301561
OpenAlexW3129895758

What OpenQuestion holds

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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 OpenQuestion graph.