Evidence map›Paper›PMID 31198782›Full record

ArticleBioMed research international2019

Study on the Potential Biomarkers of Maternal Urine Metabolomics for Fetus with Congenital Heart Diseases Based on Modified Gas Chromatograph-Mass Spectrometer.

Donghua Xie, Yingchun Luo, Xiyue Xiong, Mingxing Lou, Zhiyu Liu, Aihua Wang, Lili Xiong, Fanjuan Kong, Yichao Wang, Hua Wang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
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

10 authors at 1 institution in 1 country.

Donghua Xie *Department of Information Management, Maternal and Child Health Hospital of Hunan Province, 58 Xiangchun Road, Changsha, Hunan 410078, China.ORCID 0000-0001-6901-7044
Yingchun Luo *Department of Ultrasonography, Maternal and Child Health Hospital of Hunan Province, 58 Xiangchun Road, Changsha, Hunan 410078, China.
Xiyue XiongDepartment of Pediatric Rehabilitation, Maternal and Child Health Hospital of Hunan Province, 58 Xiangchun Road, Changsha, Hunan 410078, China.
Mingxing LouDepartment of Pediatric Rehabilitation, Maternal and Child Health Hospital of Hunan Province, 58 Xiangchun Road, Changsha, Hunan 410078, China.
Zhiyu LiuDepartment of Information Management, Maternal and Child Health Hospital of Hunan Province, 58 Xiangchun Road, Changsha, Hunan 410078, China.
Aihua WangDepartment of Information Management, Maternal and Child Health Hospital of Hunan Province, 58 Xiangchun Road, Changsha, Hunan 410078, China.
Lili XiongDepartment of Information Management, Maternal and Child Health Hospital of Hunan Province, 58 Xiangchun Road, Changsha, Hunan 410078, China.
Fanjuan KongDepartment of Information Management, Maternal and Child Health Hospital of Hunan Province, 58 Xiangchun Road, Changsha, Hunan 410078, China.
Yichao WangDepartment of Pediatric Rehabilitation, Maternal and Child Health Hospital of Hunan Province, 58 Xiangchun Road, Changsha, Hunan 410078, China.ORCID 0000-0002-6140-4338
Hua WangNHC Key Laboratory of Birth Defect for Research and Prevention (Hunan Provincial Maternal and Child Health Care Hospital), Hunan 410008, China.ORCID 0000-0001-6178-7108
Hunan Provincial Maternal and Child Health Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere has been significant research on the genetic and environmental factors of congenital heart defects (CHDs), but few causes of teratogenicity, especially teratogenic mechanisms, can be clearly identified. Metabolomics has a potential advantage in researching the relationship between external factors and CHD.

objectiveTo find and identify the urinary potential biomarkers of pregnancy (including in the second and third trimesters) for fetuses with CHD based on modified gas chromatograph-mass spectrometer (GC-MS), which could reveal the possibility of high-risk factors for CHD and lay the foundation for early intervention, treatment, and prevention.

methodsUsing a case-control design, we measured the urinary potential biomarkers of maternal urine metabolomics based on GC-MS in a population-based sample of women whose infants were diagnosed with CHD (70 case subjects) or were healthy (70 control subjects). SIMCA-P 13.0 software, principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA), Wilcoxon-Mann-Whitney test, and logistics regression were used to find significant potential biomarkers.

resultThe 3D score graph of the OPLS-DA showed that the CHD and control groups were fully separated. The fitting parameters were R

conclusionThe major potential biomarkers in maternal urine associated with CHD were 4-hydroxybenzeneacetic acid, 5-trimethylsilyloxy-n-valeric acid, propanedioic acid, hydracrylic acid, and uric acid, respectively. These results indicated that the short chain fatty acids (SCFAs) and aromatic amino acid metabolism may be relevant with CHD.

Indexed as

FetusMetabolomicsAdultFemaleGas Chromatography-Mass SpectrometryHeart Defects, CongenitalHumansPregnancyPregnancy Trimester, SecondPregnancy Trimester, Third

Identifiers

PMID31198782
PMCPMC6526572
OpenAlexW2944518049

What OpenQuestion 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 OpenQuestion graph.