Evidence map›Paper›PMID 30696865›Full record

ArticleScientific reports2019

Mixed Viral-Bacterial Infections and Their Effects on Gut Microbiota and Clinical Illnesses in Children.

Shilu Mathew, Maria K Smatti, Khalid Al Ansari, Gheyath K Nasrallah, Asmaa A Al Thani, Hadi M Yassine

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
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  4. The gut microbiome in early life predicts malaria susceptibility.Frontiers in cellular and infection microbiology · 2026
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  16. Impact of the Microbiota on Viral Infections.Annual review of virology · 2023
    Review
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  20. 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

6 authors at 2 institutions in 1 country.

Shilu MathewBiomedical Research Center, Qatar University, Doha, 2713, Qatar.
Maria K SmattiBiomedical Research Center, Qatar University, Doha, 2713, Qatar.
Khalid Al AnsariPediatric Emergency Center, Hamad Medical Corporation, Doha, 3050, Qatar.
Gheyath K NasrallahBiomedical Research Center, Qatar University, Doha, 2713, Qatar.ORCID 0000-0001-9252-1038
Asmaa A Al ThaniBiomedical Research Center, Qatar University, Doha, 2713, Qatar.
Hadi M YassineBiomedical Research Center, Qatar University, Doha, 2713, Qatar. hyassine@qu.edu.qa.ORCID 0000-0001-7592-2788
Qatar University · QAHamad Medical Corporation · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute gastroenteritis remains a major cause of morbidity and mortality among young children worldwide. It accounts for approximately 1.34 million deaths annually in children younger than five years. Infection can be caused by viral, bacterial and/or parasitic microorganisms. Dysbiosis due to such infections could dramatically affect disease prognosis as well as development of chronic illness. The aim of this study was to analyze gut microbiome and clinical outcomes in young children suffering from viral or mixed viral-bacterial infection. We evaluated gut microbiota composition in children suffering from viral or mixed viral-bacterial infection with two major viruses rotavirus (RV) and norovirus (NoV) and two pathogenic bacteria [Enteroaggregative E. coli (EAEC), and Enteropathogenic E. coli (EPEC)]. We sequenced 16S ribosomal RNA (V4 region) genes using Illumina MiSeq in 70 hospitalized children suffering from gastroenteric infections plus nine healthy controls. The study summarized Operational Taxonomic Unit (OTU) abundances with the Bray-Curtis index and performed a non-metric multidimensional scaling analysis to visualize microbiome similarities. We used a permutational multivariate analyses of variance to test the significance of group differences. We also analyzed the correlation between microbiome changes and clinical outcomes. Our data demonstrated a significant increase in the severity score in children with viral-bacterial mixed infections compared to those with virus infections alone. Statistical analysis by overall relative abundance denoted lesser proportions of Bacteroides in the infected children, whereas Bifidobacteriaceae richness was more prominent in the bacterial-viral mixed infections. Pairwise differences of gut microbiota were significantly higher in RV + EAEC (P = 0.009) and NoV + EAEC (P = 0.009) co-infections, compared to EPEC mixed infection with both, RV (P = 0.045) and NoV (P = 0.188). Shannon diversity index showed considerable more variation in microbiome diversity in children infected with RV cohort compared to NoV cohort. Our results highlight that richness of Bifidobacteriaceae, which acts as probiotics, increased with the severity of the viral-bacterial mixed infections. As expected, significant reduction of relative numbers of Bacteroides was characterized in both RV and NoV infections, with more reduction observed in co-infection pathogenic E. coli. Although mixed infection with EAEC resulted in significant microbiota differences compared to viral infection only or mixed infection with EPEC, the clinical condition of the children were worsened with both pathogenic E.coli co-infections. Further, in comparison with RV cohort, augmented number of differential abundant pathogenic OTUs were peculiarly noticed only with NoV mixed infection.

Indexed as

Caliciviridae InfectionsCoinfectionDisease ProgressionDysbiosisEnteropathogenic Escherichia coliEscherichia coliEscherichia coli InfectionsFecesFemaleGastroenteritisGastrointestinal MicrobiomeHumansInfantMaleNorovirusRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID30696865
PMCPMC6351549
OpenAlexW2912069213

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.