Evidence map›Paper›PMID 33510860›Full record

ArticleComputational and structural biotechnology journal2021

Virulence factor-related gut microbiota genes and immunoglobulin A levels as novel markers for machine learning-based classification of autism spectrum disorder.

Mingbang Wang, Ceymi Doenyas, Jing Wan, Shujuan Zeng, Chunquan Cai, Jiaxiu Zhou, Yanqing Liu, Zhaoqing Yin, Wenhao Zhou

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 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

9 authors at 7 institutions in 2 countries.

Mingbang WangShanghai Key Laboratory of Birth Defects, Division of Neonatology, Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China.
Ceymi DoenyasResearch Center for Translational Medicine, Koç University, Istanbul, Turkey.
Jing WanDivision of Neonatology, The People's Hospital of Dehong Autonomous Prefecture, Mangshi, Yunnan 678400, China.
Shujuan ZengDivision of Neonatology, Longgang District Central Hospital of Shenzhen, Guangdong 518116, China.
Chunquan CaiDivision of Neurosurgery, Tianjin Children's Hospital, Tianjin 300134, China.
Jiaxiu ZhouDivision of Psychology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China.
Yanqing LiuYanqing Liu,Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Zhaoqing YinDivision of Neonatology, The People's Hospital of Dehong Autonomous Prefecture, Mangshi, Yunnan 678400, China.
Wenhao ZhouShanghai Key Laboratory of Birth Defects, Division of Neonatology, Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China.
Children's Hospital of Fudan University · CNFudan University · CNGuangzhou Medical University · CNKoç University · TRLonggang Central Hospital · CNShenzhen Children's Hospital · CNTianjin Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition for which early identification and intervention is crucial for optimum prognosis. Our previous work showed gut Immunoglobulin A (IgA) to be significantly elevated in the gut lumen of children with ASD compared to typically developing (TD) children. Gut microbiota variations have been reported in ASD, yet not much is known about virulence factor-related gut microbiota (VFGM) genes. Upon determining the VFGM genes distinguishing ASD from TD, this study is the first to utilize VFGM genes and IgA levels for a machine learning-based classification of ASD. Sequence comparisons were performed of metagenome datasets from children with ASD (

Indexed as

ASD, autism spectrum disorderAutism spectrum disorderClassificationEarly diagnosisGeneticsGut microbiotaIgA, immunoglobulin AImmunoglobulin ALPS, lipopolysaccharideMachine learningMetagenomeTD, typical developmentVFDB, virulence factor databaseVFGM, virulence factor-related gut microbiotaVirulence factor

Identifiers

PMID33510860
PMCPMC7809157
OpenAlexW3114106541

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.