Evidence map›Paper›PMID 41265399›Full record

ArticleCell systems2025

Metabolic network analysis of Crohn's disease reveals sex- and age-specific cellular phenotypes.

Connor J Moore, Mariska Batavia, William Shao, Fatima Zulqarnain, Glynis L Kolling, Adam Greene, Jason D Matthews, Sana Syed, Jason A Papin

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Connor J MooreDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.
Mariska BataviaDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.
William ShaoDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.
Fatima ZulqarnainDepartment of Pediatrics, Division of Gastroenterology, Hepatology & Nutrition, University of Virginia School of Medicine & UVA Child Health Research Center, University of Virginia, MR-4 Bldg., 409 Lane Rd., Charlottesville, VA 22908, USA.
Glynis L KollingDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA; Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22908, USA.
Adam GreeneDepartment of Pediatrics, Division of Gastroenterology, Hepatology & Nutrition, University of Virginia School of Medicine & UVA Child Health Research Center, University of Virginia, MR-4 Bldg., 409 Lane Rd., Charlottesville, VA 22908, USA.
Jason D MatthewsDivision of Pediatric Gastroenterology, Department of Pediatrics & Pediatric Research Institute, Emory University School of Medicine & Children's Healthcare of Atlanta, Atlanta, GA 30054, USA.
Sana SyedDepartment of Pediatrics, Division of Gastroenterology, Hepatology & Nutrition, University of Virginia School of Medicine & UVA Child Health Research Center, University of Virginia, MR-4 Bldg., 409 Lane Rd., Charlottesville, VA 22908, USA.
Jason A PapinDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA; Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22908, USA; Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA. Electronic address: papin@virginia.edu.

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
Systems Analysis of Stress-adapted Cancer Organelles (SASCO) CenterU54CA274499 · NCI · UNIVERSITY OF VIRGINIA · PI Kevin A Janes · 2022 to 2026
$13.4M
Population-Based Characterization of Metabolic Pathways to Predict Pediatric Crohn's Disease OutcomesR01DK132369 · NIDDK · UNIVERSITY OF VIRGINIA · PI Sana Syed · 2022 to 2026
$3.4M
NCI NIH HHS P30 CA044579NCI NIH HHS U54 CA274499NIDDK NIH HHS R01 DK132369
6 · The paper itself

Abstract

Crohn's disease (CD) is an inflammatory gastrointestinal disease affecting approximately 1 in 1,000 people in North America. Incidence of pediatric CD has been rising in recent decades, and this group is especially at risk of more severe disease development because of the association of CD with developmental deficits. Genome-scale metabolic models (GEMs) present an opportunity to investigate systems-level changes in metabolism in specific contexts, such as pediatric CD. In this work, we utilized pediatric and adult omics data to create an ileum-specific GEM, Ileum1. We also developed reaction inclusion analysis (RIA) to quantify broad metabolic differences of several clinical cohorts and used this method to compare hundreds of subject-specific GEMs. RIA predicted altered cholesterol metabolism in males with CD, and in vitro testing found that cholesterol synthesis inhibition prevented an increase of inflammatory cytokines. We used transcriptomics from adult subjects and found that metabolism is uniquely altered in adult CD. A record of this paper's transparent peer review process is included in the supplemental information.

Indexed as

Crohn DiseaseMetabolic Networks and PathwaysAdolescentAdultAge FactorsChildCholesterolFemaleHumansIleumMaleMiddle AgedPhenotypeSex FactorsTranscriptomeCholesterolcholesterol metabolismCrohn’s diseasegenome-scale metabolic modelpediatricsex differencesstatins

Identifiers

PMID41265399
PMCPMC12638042

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.