Evidence map›Paper›PMID 35197084›Full record

SynthesisGenome biology2022

Meta-analysis defines predominant shared microbial responses in various diseases and a specific inflammatory bowel disease signal.

Haya Abbas-Egbariya, Yael Haberman, Tzipi Braun, Rotem Hadar, Lee Denson, Ohad Gal-Mor, Amnon Amir

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.7field-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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 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

7 authors at 2 institutions in 2 countries.

Haya Abbas-Egbariya *Sheba Medical Center, Tel-HaShomer, affiliated with the Tel-Aviv University, Tel Aviv, Israel.
Yael Haberman *Sheba Medical Center, Tel-HaShomer, affiliated with the Tel-Aviv University, Tel Aviv, Israel. Yael.Haberman@sheba.health.gov.il.ORCID 0000-0003-2680-1570
Tzipi BraunSheba Medical Center, Tel-HaShomer, affiliated with the Tel-Aviv University, Tel Aviv, Israel.
Rotem HadarSheba Medical Center, Tel-HaShomer, affiliated with the Tel-Aviv University, Tel Aviv, Israel.
Lee DensonCincinnati Children's Hospital Medical Center and the University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Ohad Gal-MorThe Infectious Diseases Research Laboratory, Sheba Medical Center, Tel-Hashomer, and the Department of Clinical Microbiology and Immunology, Tel Aviv University, Tel Aviv, Israel.
Amnon AmirSheba Medical Center, Tel-HaShomer, affiliated with the Tel-Aviv University, Tel Aviv, Israel. amnonim@gmail.com.
Tel Aviv University · ILCincinnati Children's Hospital Medical Center · US

Funding

Stem Cell/Organoid and Genome Editing CoreP30DK078392 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI LEE ARMISTEAD DENSON · 2007 to 2026
$24.4M
NIDDK NIH HHS P30 DK078392
6 · The paper itself

Abstract

backgroundGut microbial alteration is implicated in inflammatory bowel disease but is noted in other diseases. Systematic comparison to define similarities and specificities is hampered since most studies focus on a single disease.

resultsWe develop a pipeline to compare between disease cohorts starting from the raw V4 16S amplicon sequence variants. Including 12,838 subjects, from 59 disease cohorts, we demonstrate a predominant shared signature across diseases, indicating a common bacterial response to different diseases. We show that classifiers trained on one disease cohort predict relatively well other diseases due to this shared signal, and hence, caution should be taken when using such classifiers in real-world scenarios, where diseases are intermixed. Based on this common signature across a large array of diseases, we develop a universal dysbiosis index that successfully differentiates between cases and controls across various diseases and can be used for prioritizing fecal donors and samples with lower disease probability. Finally, we identify a set of IBD-specific bacteria, which can direct mechanistic studies and design of IBD-specific microbial interventions.

conclusionsA robust non-specific general response of the gut microbiome is detected in a large array of diseases. Disease classifiers may confuse between different diseases due to this shared microbial response. Our universal dysbiosis index can be used as a tool to prioritize fecal samples and donors. Finally, the IBD-specific taxa may indicate a more direct association to gut inflammation and disease pathogenesis, and those can be further used as biomarkers and as future targets for interventions.

Indexed as

Colitis, UlcerativeCrohn DiseaseGastrointestinal MicrobiomeInflammatory Bowel DiseasesBacteriaDysbiosisFecesHumans16S ampliconCrohn’s diseaseGut microbiomeMeta-analysesUlcerative colitis

Identifiers

PMID35197084
PMCPMC8867743
OpenAlexW4214717172

What Socratic 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 Socratic graph.