Evidence map›Paper›PMID 39339731›Full record

ArticleNutrients2024

Diet Impacts on Gene Expression in Healthy Colon Tissue: Insights from the BarcUVa-Seq Study.

Mireia Obón-Santacana, Ferran Moratalla-Navarro, Elisabet Guinó, Robert Carreras-Torres, Virginia Díez-Obrero, David Bars-Cortina, Gemma Ibáñez-Sanz, Lorena Rodríguez-Alonso, Alfredo Mata, Ana García-Rodríguez and 4 more

Abstract read
In one paragraph

Article in Nutrients, 2024. 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. Review
  2. Observational
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

14 authors.

Mireia Obón-SantacanaUnit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), 08908 L'Hospitalet del Llobregat, Barcelona, Spain.
Ferran Moratalla-NavarroUnit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), 08908 L'Hospitalet del Llobregat, Barcelona, Spain.ORCID 0000-0001-7858-5713
Elisabet GuinóUnit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), 08908 L'Hospitalet del Llobregat, Barcelona, Spain.
Robert Carreras-TorresDigestive Diseases and Microbiota Group, Department of Gastroenterology, Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr. Josep Trueta, 17190 Salt, Girona, Spain.ORCID 0000-0002-2925-734X
Virginia Díez-ObreroUnit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), 08908 L'Hospitalet del Llobregat, Barcelona, Spain.
David Bars-CortinaUnit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), 08908 L'Hospitalet del Llobregat, Barcelona, Spain.
Gemma Ibáñez-SanzONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), 08908 L'Hospitalet de Llobregat, Barcelona, Spain.ORCID 0000-0001-6071-7343
Lorena Rodríguez-AlonsoGastroenterology Department, Bellvitge University Hospital, 08907 L'Hospitalet de Llobregat, Barcelona, Spain.
Alfredo MataDigestive System Service, Moisés Broggi Hospital, 08970 Sant Joan Despí, Spain.
Ana García-RodríguezEndoscopy Unit, Digestive System Service, Viladecans Hospital-IDIBELL, 08840 Viladecans, Barcelona, Spain.ORCID 0000-0001-7637-922X
Matthew DevallDepartment of Family Medicine, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0001-5943-4397
Graham CaseyDepartment of Genome Sciences, University of Virginia, Charlottesville, VA 22903, USA.
Li LiDepartment of Family Medicine, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0003-1802-9517
Victor MorenoUnit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), 08908 L'Hospitalet del Llobregat, Barcelona, Spain.

Funding

Using Functional Genomics to Inform Gene Environment Interactions for Colorectal CancerR01CA201407 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GAUDERMAN, WILLIAM JAMES, LE MARCHAND, LOIC · 2016 to 2020
$9.6M
Inherited colorectal cancer risk variants: from association to biologyR01CA143237 · NCI · UNIVERSITY OF VIRGINIA · PI CASEY, GRAHAM · 2010 to 2020
$8.4M
An integrative omics approach to investigate gene-environment interaction in colorectal cancer riskR01CA273198 · NCI · FRED HUTCHINSON CANCER CENTER · PI William JAMES GAUDERMAN, ULRIKE PETERS · 2023 to 2026
$3.5M
Biology of Colorectal Cancer Risk EnhancersR01CA204279 · NCI · UNIVERSITY OF VIRGINIA · PI CASEY, GRAHAM, SCACHERI, PETER CHRISTOPHER · 2016 to 2020
$3.0M
Asociación Española Contra el Cáncer GCTRA18022MOREDISCERN HORIZON-MISS-2021-CANCER-02-03 101096888Instituto de Salud Carlos III FORT23/00032; PI17-00092 and PI20-01439NCI NIH HHS R01 CA143237NCI NIH HHS R01 CA201407NCI NIH HHS R01 CA204279NCI NIH HHS R01 CA273198NIH HHS R01CA273198; R01 CA204279; R01 CA143237 and R01 CA201407
6 · The paper itself

Abstract

(1) Introduction: The global rise of gastrointestinal diseases, including colorectal cancer and inflammatory bowel diseases, highlights the need to understand their causes. Diet is a common risk factor and a crucial regulator of gene expression, with alterations observed in both conditions. This study aims to elucidate the specific biological mechanisms through which diet influences the risk of bowel diseases. (2) Methods: We analyzed data from 436 participants from the BarcUVa-Seq population-based cross-sectional study utilizing gene expression profiles (RNA-Seq) from frozen colonic mucosal biopsies and dietary information from a semi-quantitative food frequency questionnaire. Dietary variables were evaluated based on two dietary patterns and as individual variables. Differential expression gene (DEG) analysis was performed for each dietary factor using edgeR. Protein-protein interaction (PPI) analysis was conducted with STRINGdb v11 for food groups with more than 10 statistically significant DEGs, followed by Reactome-based enrichment analysis for the resulting networks. (3) Results: Our findings reveal that food intake, specifically the consumption of blue fish, alcohol, and potatoes, significantly influences gene expression in the colon of individuals without tumor pathology, particularly in pathways related to DNA repair, immune system function, and protein glycosylation. (4) Discussion: These results demonstrate how these dietary components may influence human metabolic processes and affect the risk of bowel diseases.

Indexed as

ColonDietAdultAgedCross-Sectional StudiesFemaleGene Expression RegulationHumansIntestinal MucosaMaleMiddle AgedProtein Interaction MapsTranscriptomecolondietdietary patternsgene expressionnutrigenomicstissue

Identifiers

PMID39339731
PMCPMC11434945

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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.