Evidence map›Paper›PMID 28944830›Full record

ArticleMolecular medicine reports2017

Application of the amniotic fluid metabolome to the study of fetal malformations, using Down syndrome as a specific model.

Jun Huang, Jinhua Mo, Guili Zhao, Qiyin Lin, Guanhui Wei, Weinan Deng, Dunjin Chen, Bolan Yu

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Metabolic profiling of amniotic fluid by differentialMetabolomics : Official journal of the Metabolomic Society · 2025
    Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Amniotic fluid metabolomic and lipidomic alterations associated with hemoglobin Bart's diseases.Metabolomics : Official journal of the Metabolomic Society · 2021
    Article
  9. Article
  10. Article
  11. [Application of metabolomics in neonatal clinical practice].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2019
    Review
  12. Review
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

8 authors at 2 institutions in 1 country.

Jun HuangKey Laboratory For Major Obstetric Diseases of Guangdong Province, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, P.R. China.
Jinhua MoKey Laboratory For Major Obstetric Diseases of Guangdong Province, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, P.R. China.
Guili ZhaoKey Laboratory For Major Obstetric Diseases of Guangdong Province, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, P.R. China.
Qiyin LinKey Laboratory For Major Obstetric Diseases of Guangdong Province, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, P.R. China.
Guanhui WeiKey Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, P.R. China.
Weinan DengKey Laboratory For Major Obstetric Diseases of Guangdong Province, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, P.R. China.
Dunjin ChenKey Laboratory For Major Obstetric Diseases of Guangdong Province, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, P.R. China.
Bolan YuKey Laboratory For Major Obstetric Diseases of Guangdong Province, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510150, P.R. China.
Guangzhou Medical University · CNThird Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although monitoring and diagnosis of fetal diseases in utero remains a challenge, metabolomics may provide an additional tool to study the etiology and pathophysiology of fetal diseases at a functional level. In order to explore specific markers of fetal disease, metabolites were analyzed in two separate sets of experiments using amniotic fluid from fetuses with Down syndrome (DS) as a model. Both sets included 10‑15 pairs of controls and cases, and amniotic fluid samples were processed separately; metabolomic fingerprinting was then conducted using UPLC‑MS. Significantly altered metabolites involved in respective metabolic pathways were compared in the two experimental sets. In addition, significantly altered metabolic pathways were further compared with the genomic characters of the DS fetuses. The data suggested that metabolic profiles varied across different experiments, however alterations in the 4 metabolic pathways of the porphyrin metabolism, bile acid metabolism, hormone metabolism and amino acid metabolism, were validated for the two experimental sets. Significant changes in metabolites of coproporphyrin III, glycocholic acid, taurochenodeoxycholate, taurocholate, hydrocortisone, pregnenolone sulfate, L‑histidine, L‑arginine, L‑glutamate and L‑glutamine were further confirmed. Analysis of these metabolic alterations was linked to aberrant gene expression at chromosome 21 of the DS fetus. The decrease in coproporphyrin III in the DS fetus may portend abnormal erythropoiesis, and unbalanced glutamine‑glutamate concentration was observed to be closely associated with abnormal brain development in the DS fetus. Therefore, alterations in amniotic fluid metabolites may provide important clues to understanding the etiology of fetal disease and help to develop diagnostic testing for clinical applications.

Indexed as

MetabolomeAdultAmniotic FluidChromatography, High Pressure LiquidCoproporphyrinsDiscriminant AnalysisDown SyndromeFemaleFetusGalactoseGlycocholic AcidHumansLeast-Squares AnalysisMaleMass SpectrometryMetabolic Networks and Pathwayscoproporphyrin IIICoproporphyrinsGalactoseGlycocholic AcidpurinePurines

Identifiers

PMID28944830
PMCPMC5865872
OpenAlexW2755881615

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LicenceCC BY-NC-ND
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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.