Evidence map›Paper›PMID 40427639›Full record

ArticleBiomolecules2025

Multiomics-Based Profiling of the Fecal Microbiome Reveals Potential Disease-Specific Signatures in Pediatric IBD (PIBD).

Anita H DeSantis, Kristina Buss, Keaton M Coker, Brad A Pasternak, Jinhua Chi, Jeffrey S Patterson, Haiwei Gu, Peter W Jurutka, Todd R Sandrin

Abstract read
In one paragraph

Article in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. New Personalized Medicine Model for Medication Management.Journal of personalized medicine · 2026
    Review
  2. Review
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.

Anita H DeSantisSchool of Mathematical and Natural Sciences, Arizona State University, 4701 W. Thunderbird Rd, Glendale, AZ 85306, USA.
Kristina BussBiosciences Core, Arizona State University, 1001 S. McAllister Ave, Tempe, AZ 85281, USA.
Keaton M CokerSchool of Mathematical and Natural Sciences, Arizona State University, 4701 W. Thunderbird Rd, Glendale, AZ 85306, USA.
Brad A PasternakPhoenix Children's Hospital, 1919 E. Thomas Rd, Phoenix, AZ 85016, USA.ORCID 0000-0003-1912-871X
Jinhua ChiCollege of Health Solutions, Health North Building, Arizona State University, 550 N. 3rd St, Suite 501, Phoenix, AZ 85004, USA.
Jeffrey S PattersonCollege of Health Solutions, Health North Building, Arizona State University, 550 N. 3rd St, Suite 501, Phoenix, AZ 85004, USA.ORCID 0000-0003-1328-8958
Haiwei GuCollege of Health Solutions, Health North Building, Arizona State University, 550 N. 3rd St, Suite 501, Phoenix, AZ 85004, USA.
Peter W JurutkaSchool of Mathematical and Natural Sciences, Arizona State University, 4701 W. Thunderbird Rd, Glendale, AZ 85306, USA.ORCID 0000-0002-4950-9161
Todd R SandrinSchool of Mathematical and Natural Sciences, Arizona State University, 4701 W. Thunderbird Rd, Glendale, AZ 85306, USA.ORCID 0000-0001-5079-2999

Funding

Phoenix Children's Hospital Foundation Leadership Grant GR39923
6 · The paper itself

Abstract

Inflammatory bowel disease (IBD), which includes Crohn's Disease (CD) and Ulcerative Colitis (UC), is a chronic gastrointestinal (GI) disorder affecting 1 in 100 people in the United States. Pediatric IBD (PIBD) is estimated to impact 15 per 100,000 children in North America. Factors such as the gut microbiome (GM), genetic predisposition to the disease, and certain environmental factors are thought to be involved in pathogenesis. However, the pathophysiology of IBD is incompletely understood, and diagnostic biomarkers and effective treatments, particularly for PIBD, are limited. Recent work suggests that these factors may interact to influence disease development, and multiomic approaches have emerged as promising tools to elucidate the pathophysiology. We employed metagenomics, metabolomics- and metatranscriptomics-based approaches to examine the microbiome, its genetic potential, and its activity to identify factors associated with PIBD. Metagenomics-based analyses revealed pathways such as octane oxidation and glycolysis that were differentially expressed in UC patients. Additionally, metatranscriptomics-based analyses suggested enrichment of glycan degradation and two component systems in UC samples as well as protein processing in the endoplasmic reticulum, ribosome, and protein export in CD and UC samples. In addition, metabolomics-based approaches revealed patterns of differentially abundant metabolites between healthy and PIBD individuals. Interestingly, overall microbiome community composition (as measured by alpha and beta diversity indices) did not appear to be associated with PIBD. However, we observed a small number of differentially abundant taxa in UC versus healthy controls, including members of the Classes

Indexed as

Colitis, UlcerativeCrohn DiseaseFecesGastrointestinal MicrobiomeInflammatory Bowel DiseasesAdolescentBiomarkersChildFemaleHumansMaleMetabolomicsMetagenomicsMultiomicsTranscriptomeBiomarkersbiomarkersCrohn’s Diseaseinflammatory bowel diseasemetabolomicsmetagenomicsmetatranscriptomicsmicrobiomemultiomicspediatric inflammatory bowel diseaseUlcerative Colitis

Identifiers

PMID40427639
PMCPMC12109367

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.