Evidence map›Paper›PMID 31026579›Full record

ArticleGenomics, proteomics & bioinformatics2019

Correlation of Gut Microbiome Between ASD Children and Mothers and Potential Biomarkers for Risk Assessment.

Ning Li, Junjie Yang, Jiaming Zhang, Cheng Liang, Ying Wang, Bin Chen, Changying Zhao, Jingwen Wang, Guangye Zhang, Dongmei Zhao and 7 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 5 pooled it
4.9field-weighted citation impact, top 4% 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

75 citing papers in PubMed, 5 syntheses or guidelines pooled it, 131 citations in OpenAlex.

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15 more citing papers are in PubMed but not listed here.

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

17 authors at 8 institutions in 1 country.

Ning LiDepartment of Pediatrics, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, China; Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China; Institute of Child Health Care, Qilu Children's Hospital of Shandong University, Jinan 250022, China.
Junjie YangShandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China.
Jiaming ZhangShandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China.
Cheng LiangSchool of Information Science and Engineering, Shandong Normal University, Jinan 250358, China.
Ying WangShandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China; Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China.
Bin ChenBeijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China.
Changying ZhaoCollege of Life Science, Qilu Normal University, Jinan 250200, China.
Jingwen WangCollege of Life Science, Qilu Normal University, Jinan 250200, China.
Guangye ZhangResearch Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China.
Dongmei ZhaoInstitute of Child Health Care, Qilu Children's Hospital of Shandong University, Jinan 250022, China.
Yi LiuShandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China; Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China.
Lehai ZhangShandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China; Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China.
Jun YangSchool of Chemistry, Beihang University, Beijing 100191, China.
Guimei LiDepartment of Pediatrics, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, China. Electronic address: guimeili@sdu.edu.cn.
Zhongtao GaiShandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China; Research Institute of Pediatrics, Qilu Children's Hospital of Shandong University, Jinan 250022, China. Electronic address: gzt@etyy.com.
Lei ZhangShandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan 250022, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China. Electronic address: microbiome@foxmail.com.
Guoping ZhaoCAS Key Laboratory of Synthetic Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Qilu Hospital of Shandong University · CNQilu Normal University · CNShandong University · CNBeijing Advanced Sciences and Innovation Center · CNChinese Academy of Sciences · CNShandong Normal University · CNShandong Provincial Hospital · CNShanghai Institutes for Biological Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variation of maternal gut microbiota may increase the risk of autism spectrum disorders (ASDs) in offspring. Animal studies have indicated that maternal gut microbiota is related to neurodevelopmental abnormalities in mouse offspring, while it is unclear whether there is a correlation between gut microbiota of ASD children and their mothers. We examined the relationships between gut microbiome profiles of ASD children and those of their mothers, and evaluated the clinical discriminatory power of discovered bacterial biomarkers. Gut microbiome was profiled and evaluated by 16S ribosomal RNA gene sequencing in stool samples of 59 mother-child pairs of ASD children and 30 matched mother-child pairs of healthy children. Significant differences were observed in the gut microbiome composition between ASD and healthy children in our Chinese cohort. Several unique bacterial biomarkers, such as Alcaligenaceae and Acinetobacter, were identified. Mothers of ASD children had more Proteobacteria, Alphaproteobacteria, Moraxellaceae, and Acinetobacter than mothers of healthy children. There was a clear correlation between gut microbiome profiles of children and their mothers; however, children with ASD still had unique bacterial biomarkers, such as Alcaligenaceae, Enterobacteriaceae, and Clostridium. Candidate biomarkers discovered in this study had remarkable discriminatory power. The identified patterns of mother-child gut microbiome profiles may be important for assessing risks during the early stage and planning of personalized treatment and prevention of ASD via microbiota modulation.

Indexed as

Gastrointestinal MicrobiomeAdultAnimalsAutism Spectrum DisorderBacteriaBiomarkersChildChild, PreschoolCohort StudiesFemaleHumansMaleMiceMothersRisk AssessmentBiomarkersAutism spectrum disordersBiomarkerGut microbiomeMicrobiota-gut-immune-brain axisMother–child pair

Identifiers

PMID31026579
PMCPMC6520911
OpenAlexW2940981270

What OpenQuestion holds

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LicenceCC BY
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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.