Evidence map›Paper›PMID 35301463›Full record

ReviewNature reviews. Gastroenterology & hepatology2022

Multiomics to elucidate inflammatory bowel disease risk factors and pathways.

Manasi Agrawal, Kristine H Allin, Francesca Petralia, Jean-Frederic Colombel, Tine Jess

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Gastroenterology & hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed, 2 pooled it
33.5field-weighted citation impact, top 1% 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

125 citing papers in PubMed, 2 syntheses or guidelines pooled it, 193 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
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  6. Article
  7. Observational
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  10. GPR15-guided CD8Nature · 2026
    Article
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  13. Review
  14. The roles and heterogeneity of CD8International journal of molecular medicine · 2026
    Review
  15. Article
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65 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 2 countries.

Manasi AgrawalThe Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. manasi.agrawal@mountsinai.org.ORCID http://orcid.org/0000-0003-4729-1485
Kristine H AllinCenter for Molecular Prediction of Inflammatory Bowel Disease, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-6880-5759
Francesca PetraliaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-5096-9854
Jean-Frederic ColombelThe Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-6472-249X
Tine JessCenter for Molecular Prediction of Inflammatory Bowel Disease, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-4391-7332
Aalborg University Hospital · DKIcahn School of Medicine at Mount Sinai · USMount Sinai Hospital · US

Funding

Early-life Risk Factors for Inflammatory Bowel DiseaseK23DK129762 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AGRAWAL, MANASI · 2021 to 2025
$951k
NIDDK NIH HHS K23 DK129762
6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) is an immune-mediated disease of the intestinal tract, with complex pathophysiology involving genetic, environmental, microbiome, immunological and potentially other factors. Epidemiological data have provided important insights into risk factors associated with IBD, but are limited by confounding, biases and data quality, especially when pertaining to risk factors in early life. Multiomics platforms provide granular high-throughput data on numerous variables simultaneously and can be leveraged to characterize molecular pathways and risk factors for chronic diseases, such as IBD. Herein, we describe omics platforms that can advance our understanding of IBD risk factors and pathways, and available omics data on IBD and other relevant diseases. We highlight knowledge gaps and emphasize the importance of birth, at-risk and pre-diagnostic cohorts, and neonatal blood spots in omics analyses in IBD. Finally, we discuss network analysis, a powerful bioinformatics tool to assemble high-throughput data and derive clinical relevance.

Indexed as

Inflammatory Bowel DiseasesMicrobiotaChronic DiseaseHumansInfant, NewbornIntestinesRisk Factors

Identifiers

PMID35301463
PMCPMC9214275
OpenAlexW4220900172

What OpenQuestion holds

Textmetadata
LicenceTDM
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.