Evidence map›Paper›PMID 38656971›Full record

ArticlePloS one2024

Gut microbiota composition in patients with Crohn's disease in Saudi Arabia.

Hadil Alahdal, Ghaida Almuneef, Manal Muhammed Alkhulaifi, Omar Aldibasi, Abdulrahman Aljouie, Othman Alharbi, Zakiah Naser Almohawes, Fatemah Basingab, Mokhtar Rejili

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Deconvolving Phylogenetic Distance Mixtures.bioRxiv : the preprint server for biology · 2026
    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 5 institutions in 1 country.

Hadil AlahdalDepartment of Biology, Faculty of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID 0000-0002-3075-5514
Ghaida AlmuneefDepartment of Biology, Faculty of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Manal Muhammed AlkhulaifiDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Omar AldibasiBiostatistics Section, King Abdullah International Medical Research Center, Jeddah, Saudi Arabia.
Abdulrahman AljouieArtificial Intelligence and Bioinformatics Department, King Abdullah International Medical Research Center, Jeddah, Saudi Arabia.ORCID 0000-0002-5592-2462
Othman AlharbiDepartment of Medicine, College of Medicine, King Khalid University Hospital, King Saud University, Riyadh, Saudi Arabia.
Zakiah Naser AlmohawesDepartment of Biology, Faculty of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Fatemah BasingabDepartment of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Mokhtar RejiliDepartment of Life Sciences, College of Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
Princess Nourah bint Abdulrahman University · SAKing Saud bin Abdulaziz University for Health Sciences · SAKing Saud University · SAImam Mohammad ibn Saud Islamic University · SAKing Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crohn's disease (CD) entails intricate interactions with gut microbiome diversity, richness, and composition. The relationship between CD and gut microbiome is not clearly understood and has not been previously characterized in Saudi Arabia. We performed statistical analysis about various factors influencing CD activity and microbiota dysbiosis, including diagnosis, treatment, and its impact on their quality of life as well as high-throughput metagenomic V3-V4 16S rRNA encoding gene hypervariable region of a total of eighty patients with CD, both in its active and inactive state with healthy controls. The results were correlated with the demographic and lifestyle information, which the participants provided via a questionnaire. α-diversity measures indicated lower bacterial diversity and richness in the active and inactive CD groups compared to the control group. Greater dysbiosis was observed in the active CD patients compared to the inactive form of the disease, showed by a reduction in microbial diversity. Specific pathogenic bacteria such as Filifactor, Peptoniphilus, and Sellimonas were identified as characteristic of CD groups. In contrast, anti-inflammatory bacteria like Defluviitalea, Papillibacter, and Petroclostridium were associated with the control group. Among the various factors influencing disease activity and microbiota dysbiosis, smoking emerged as the most significant, with reduced α-diversity and richness for the smokers in all groups, and proinflammatory Fusobacteria was more present (p<0.05). Opposite to the control group, microbial diversity and richness were lower in CD participants of older age compared to younger ones, and male CD participants showed less diversity compared to women participants from the same groups. Our results describe the first report on the relationship between microbiota and Crohn's disease progress in Saudi Arabia, which may provide a theoretical basis for the application of therapeutic methods to regulate gut microbes in CD.

Indexed as

Crohn DiseaseGastrointestinal MicrobiomeRNA, Ribosomal, 16SAdultBacteriaCase-Control StudiesDysbiosisFemaleHumansMaleMiddle AgedQuality of LifeSaudi ArabiaYoung AdultRNA, Ribosomal, 16S

Identifiers

PMID38656971
PMCPMC11042705
OpenAlexW4395069812

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.