Evidence map›Paper›PMID 32107447›Full record

Trial reportScientific reports2020

Integrated metabolome analysis reveals novel connections between maternal fecal metabolome and the neonatal blood metabolome in women with gestational diabetes mellitus.

Chunchao Zhao, Jun Ge, Xia Li, Ruifen Jiao, Yuan Li, Huili Quan, Jianguo Li, Qing Guo, Wenju Wang

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Metabolomics can provide new insights into perinatal nutrition.Acta paediatrica (Oslo, Norway : 1992) · 2023
    Review
  6. Multigenerational diabetes mellitus.Frontiers in endocrinology · 2023
    Review
  7. Review
  8. Article
  9. Epigenetic Links between Microbiota and Gestational Diabetes.International journal of molecular sciences · 2022
    Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. 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

9 authors at 2 institutions in 1 country.

Chunchao Zhao *Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050000, PR China.
Jun Ge *Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050000, PR China.
Xia LiShijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050000, PR China.
Ruifen JiaoShijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050000, PR China.
Yuan LiShijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050000, PR China.
Huili QuanShijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050000, PR China.
Jianguo LiInstitutes of Biomedical Sciences, Shanxi University, Taiyuan, 030006, PR China. lijg@sxu.edu.cn.
Qing GuoShijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050000, PR China. guoqingyz2019@163.com.
Wenju WangShijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050000, PR China. wangwjsjz@126.com.
First Hospital of Shijiazhuang · CNShanxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational Diabetes Mellitus (GDM), which is correlated with changes in the gut microbiota, is a risk factor for neonatal inborn errors of metabolism (IEMs). Maternal hyperglycemia exerts epigenetic effects on genes that encode IEM-associated enzymes, resulting in changes in the neonatal blood metabolome. However, the relationship between maternal gut microbiota and the neonatal blood metabolome remains poorly understood. This study aimed at understanding the connections between maternal gut microbiota and the neonatal blood metabolome in GDM. 1H-NMR-based untargeted metabolomics was performed on maternal fecal samples and targeted metabolomics on the matched neonatal dry blood spots from a cohort of 40 pregnant women, including 22 with GDM and 18 controls. Multi-omic association methods (including Co-Inertia Analysis and Procrustes Analysis) were applied to investigate the relationship between maternal fecal metabolome and the neonatal blood metabolome. Both maternal fecal metabolome and the matched neonatal blood metabolome could be separated along the vector of maternal hyperglycemia. A close relationship between the maternal and neonatal metabolomes was observed by multi-omic association approaches. Twelve out of thirty-two maternal fecal metabolites with altered abundances from 872 1H- NMR features (Bonferroni-adjusted P < 0.05) in women with GDM and the controls were identified, among which 8 metabolites contribute (P < 0.05 in a 999-step permutation test) to the close connection between maternal and the neonatal metabolomes in GDM. Four of these eight maternal fecal metabolites, including lysine, putrescine, guanidinoacetate, and hexadecanedioate, were negatively associated (Spearman rank correlation, coefficient value < -0.6, P < 0.05) with maternal hyperglycemia. Biotin metabolism was enriched (Bonferroni-adjusted P < 0.05 in the hypergeometric test) with the four-hyperglycemia associated fecal metabolites. The results of this study suggested that maternal fecal metabolites contribute to the connections between maternal fecal metabolome and the neonatal blood metabolome and may further affect the risk of IEMs.

Indexed as

FecesMetabolomeAdultDiabetes InsipidusFemaleHumansInfant, NewbornPregnancyPregnancy Complications

Identifiers

PMID32107447
PMCPMC7046769
OpenAlexW3010372330

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.