Evidence map›Paper›PMID 36735955›Full record

ArticleInflammatory bowel diseases2023

Microbial Dynamics in Newly Diagnosed and Treatment Naïve IBD Patients in the Mediterranean.

Philipp Rausch, Sarah Ellul, Anthea Pisani, Corinna Bang, Trevor Tabone, Claire Marantidis Cordina, Graziella Zahra, Andre Franke, Pierre Ellul

Abstract read
In one paragraph

Article in Inflammatory bowel diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Philipp RauschInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.ORCID 0000-0003-3133-5674
Sarah EllulDivision of Pediatric Surgery, Department of Surgery, Mater Dei Hospital, Malta.
Anthea PisaniDivision of Gastroenterology, Department of Medicine, Mater Dei Hospital, Malta.ORCID 0000-0002-6088-2012
Corinna BangInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Trevor TaboneDivision of Gastroenterology, Department of Medicine, Mater Dei Hospital, Malta.
Claire Marantidis CordinaDepartment of Microbiology, Mater Dei Hospital, Malta.
Graziella ZahraMolecular Diagnostics, Department of Pathology, Mater Dei Hospital, Malta.
Andre FrankeInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Pierre EllulDivision of Gastroenterology, Department of Medicine, Mater Dei Hospital, Malta.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrobial communities have long been suspected to influence inflammatory processes in the gastrointestinal tract of patients with inflammatory bowel disease. However, these effects are often influenced by treatments and can rarely be analyzed in treatment-naïve onset cases. Specifically, microbial differences between IBD pathologies in new onset cases have rarely been investigated and can provide novel insight into the dynamics of the microbiota in Crohn's disease (CD) and ulcerative colitis (UC).

methodsFifty-six treatment-naïve IBD onset patients (67.3% CD, 32.7% UC) and 97 healthy controls were recruited from the Maltese population. Stool samples were collected after diagnosis but before administration of anti-inflammatory treatments. Fecal microbial communities were assessed via 16S rRNA gene sequencing and subjected to ecological analyses to determine disease-specific differences between pathologies and disease subtypes or to predict future treatment options.

resultsWe identified significant differences in community composition, variability, and diversity between healthy and diseased individuals-but only small to no differences between the newly diagnosed, treatment-naïve UC and CD cohorts. Network analyses revealed massive turnover of bacterial interactions between healthy and diseased communities, as well as between CD and UC communities, as signs of disease-specific changes of community dynamics. Furthermore, we identified taxa and community characteristics serving as predictors for prospective treatments.

conclusionUntreated and newly diagnosed IBD shows clear differences from healthy microbial communities and an elevated level of disturbance, but only the network perspective revealed differences between pathologies. Furthermore, future IBD treatment is to some extent predictable by microbial community characteristics.

Indexed as

Colitis, UlcerativeCrohn DiseaseGastrointestinal MicrobiomeInflammatory Bowel DiseasesFecesHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16SbiomarkerCrohn’s diseaseinflammatory bowel diseasemicrobiometreatment naïvetreatment predictionulcerative colitis

Identifiers

PMID36735955
PMCPMC10320370

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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.