Evidence map›Paper›PMID 38323818›Full record

ArticlemSystems2024

Multi-omics analysis reveals the associations between altered gut microbiota, metabolites, and cytokines during pregnancy.

Ting Huang, Xinyuan Liang, Han Bao, Guangyu Ma, Xiaomei Tang, Huijuan Luo, Xiaomin Xiao

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

19 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 2 institutions in 1 country.

Ting Huang *Department of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0001-6695-4972
Xinyuan Liang *Department of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Han BaoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Guangyu MaDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Xiaomei TangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Huijuan LuoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Xiaomin XiaoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0002-9327-4806
First Affiliated Hospital of Jinan University · CNJinan University · CN

Funding

MOST | National Natural Science Foundation of China (NSFC) 81771664
6 · The paper itself

Abstract

For embryo implantation and fetal development, the maternal immune system undergoes dramatic changes. The mechanisms involved in inducing alterations of maternal immunity have not been fully clarified. Gut microbiome and metabolites were thought to influence the host immune response. During normal pregnancy, notable changes occur in the gut microbiota and metabolites. However, the relationship of these alterations to immune function during pregnancy remains unclear. In this study, we examined gut microbiota, fecal metabolites, plasma metabolites, and cytokines in pregnant women and non-pregnant women. Our findings revealed that, in comparison to non-pregnant women, pregnant women exhibit a significant increase in the relative abundance of

Indexed as

Gastrointestinal MicrobiomeCytokinesFemaleHumansImmune SystemMetabolomeMultiomicsPregnancyCytokines16S rRNAcytokinesgut microbiotametabolismpregnancy

Identifiers

PMID38323818
PMCPMC10949498
OpenAlexW4391600260

What OpenQuestion holds

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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.