Evidence map›Paper›PMID 39215755›Full record

ReviewUnited European gastroenterology journal2024

Inflammatory bowel disease genomics, transcriptomics, proteomics and metagenomics meet artificial intelligence.

Anna Lucia Cannarozzi, Anna Latiano, Luca Massimino, Fabrizio Bossa, Francesco Giuliani, Matteo Riva, Federica Ungaro, Maria Guerra, Anna Laura Di Brina, Giuseppe Biscaglia and 6 more

Abstract readReview
In one paragraph

Review in United European gastroenterology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–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

30 citing papers in PubMed.

  1. Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

16 authors.

Anna Lucia CannarozziDivision of Gastroenterology and Endoscopy, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Anna LatianoDivision of Gastroenterology and Endoscopy, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.ORCID 0000-0003-3719-2061
Luca MassiminoGastroenterology and Digestive Endoscopy Department, IRCCS Ospedale San Raffaele, Milan, Italy.
Fabrizio BossaDivision of Gastroenterology and Endoscopy, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Francesco GiulianiInnovation & Research Unit, Fondazione IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Italy.
Matteo RivaGastroenterology and Digestive Endoscopy Department, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0009-0002-7054-1913
Federica UngaroGastroenterology and Digestive Endoscopy Department, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0001-5395-7795
Maria GuerraDivision of Gastroenterology and Endoscopy, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Anna Laura Di BrinaDivision of Gastroenterology and Endoscopy, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Giuseppe BiscagliaDivision of Gastroenterology and Endoscopy, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Francesca TavanoDivision of Gastroenterology and Endoscopy, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Sonia CarparelliDivision of Gastroenterology and Endoscopy, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.ORCID 0000-0003-2054-8754
Gionata FiorinoGastroenterology and Digestive Endoscopy, San Camillo-Forlanini Hospital, Rome, Italy.ORCID 0000-0001-5623-2968
Silvio DaneseFaculty of Medicine, Università Vita-Salute San Raffaele, Milan, Italy.
Francesco PerriDivision of Gastroenterology and Endoscopy, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Orazio PalmieriDivision of Gastroenterology and Endoscopy, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.ORCID 0000-0002-0019-7929

Funding

Italian Next Generation Eu Program PNRR-MAD-2022-12375729
6 · The paper itself

Abstract

Various extrinsic and intrinsic factors such as drug exposures, antibiotic treatments, smoking, lifestyle, genetics, immune responses, and the gut microbiome characterize ulcerative colitis and Crohn's disease, collectively called inflammatory bowel disease (IBD). All these factors contribute to the complexity and heterogeneity of the disease etiology and pathogenesis leading to major challenges for the scientific community in improving management, medical treatments, genetic risk, and exposome impact. Understanding the interaction(s) among these factors and their effects on the immune system in IBD patients has prompted advances in multi-omics research, the development of new tools as part of system biology, and more recently, artificial intelligence (AI) approaches. These innovative approaches, supported by the availability of big data and large volumes of digital medical datasets, hold promise in better understanding the natural histories, predictors of disease development, severity, complications and treatment outcomes in complex diseases, providing decision support to doctors, and promising to bring us closer to the realization of the "precision medicine" paradigm. This review aims to provide an overview of current IBD omics based on both individual (genomics, transcriptomics, proteomics, metagenomics) and multi-omics levels, highlighting how AI can facilitate the integration of heterogeneous data to summarize our current understanding of the disease and to identify current gaps in knowledge to inform upcoming research in this field.

Indexed as

Artificial IntelligenceInflammatory Bowel DiseasesMetagenomicsProteomicsColitis, UlcerativeCrohn DiseaseGastrointestinal MicrobiomeHumansMultiomicsPrecision MedicineTranscriptomeartificial intelligenceCrohn's diseasedeep learninggenesgeneticsinflammatory bowel diseasemachine learningomicspathogenesisulcerative colitis

Identifiers

PMID39215755
PMCPMC11652336

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.