Evidence map›Paper›PMID 39796518›Full record

ArticleNutrients2024

Gut Microbiota Interacts with Dietary Habits in Screenings for Early Detection of Colorectal Cancer.

Ana Vega-Rojas, Carmen Haro, Helena Molina-Abril, Silvia Guil-Luna, Jose Antonio Santos-Marcos, Francisco Miguel Gutierrez-Mariscal, Helena Garcia-Fernandez, Javier Caballero-Villarraso, Antonio Rodriguez-Ariza, Jose Lopez-Miranda and 3 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

13 authors.

Ana Vega-RojasLipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, 14004 Cordoba, Spain.
Carmen HaroInstitute for Sustainable Agriculture, Spanish National Research Council (IAS-CSIC), 14004 Cordoba, Spain.ORCID 0000-0002-1355-8359
Helena Molina-AbrilDepartment of Applied Mathematics I, University of Seville, 41012 Seville, Spain.
Silvia Guil-LunaMaimonides Institute for Biomedical Research in Cordoba (IMIBIC), 14004 Cordoba, Spain.ORCID 0000-0001-7542-3903
Jose Antonio Santos-MarcosLipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, 14004 Cordoba, Spain.
Francisco Miguel Gutierrez-MariscalLipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, 14004 Cordoba, Spain.ORCID 0000-0003-3353-2188
Helena Garcia-FernandezLipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, 14004 Cordoba, Spain.
Javier Caballero-VillarrasoMaimonides Institute for Biomedical Research in Cordoba (IMIBIC), 14004 Cordoba, Spain.ORCID 0000-0003-0571-5147
Antonio Rodriguez-ArizaMaimonides Institute for Biomedical Research in Cordoba (IMIBIC), 14004 Cordoba, Spain.ORCID 0000-0001-5304-5745
Jose Lopez-MirandaLipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, 14004 Cordoba, Spain.
Pablo Perez-MartinezLipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, 14004 Cordoba, Spain.ORCID 0000-0001-7716-8117
Antonio HervasDigestive Department, Reina Sofia University Hospital, 14004 Cordoba, Spain.
Antonio CamargoLipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, 14004 Cordoba, Spain.ORCID 0000-0002-0415-4184

Funding

Andalusian Health Service C1-0001-2022Consejería de Salud y Consumo PI-0055-2021Consejería de Salud y Consumo PI-0156-2016European Union n.a.Instituto de Salud Carlos III CP14/00114Instituto de Salud Carlos III DTS19/00007Instituto de Salud Carlos III PI19/00299Instituto de Salud Carlos III PI22/00925Ministerio de Ciencia, Innovación y Universidades AGL2015-67896-P
6 · The paper itself

Abstract

BACKGROUND/

objectivesGut microbiota interacts with nutrients, which may be relevant to assigning a microbial signature to colorectal cancer (CRC). We aim to evaluate the potential of gut microbiota combined with dietary habits in the early detection of pathological findings related to CRC in the course of a screening program. METHODOLOGY: The colonoscopy performed on 152 subjects positive for fecal occult blood test showed that 6 subjects had adenocarcinoma, 123 had polyps, and 23 subjects had no pathological findings. Gut microbiota was analyzed by 16S metagenomic. Caret package was used to build the classification models in R.

resultsRandom forest (RF) classifier models were used to test the potential of gut microbiota alone or combined with dietary habits as a biomarker to discern between individuals with CRC-related lesions (polyps or adenocarcinoma) versus individuals without pathological findings. RF classifier models yielded an area under the curve of 0.790 using gut microbiota data, 0.710 using dietary habits data, and 0.804 in the combined model including gut microbiota and dietary habits data. The abundance of

conclusionsOur results suggest that the interaction between gut microbiota and dietary habits is relevant when a microbial signature is used as a marker in CRC. Moreover, gut microbiota signature and information about the dietary habits of the individuals seem to be important for improving screening programs for the early detection of CRC.

Indexed as

Colorectal NeoplasmsDietEarly Detection of CancerFeeding BehaviorGastrointestinal MicrobiomeAdenocarcinomaAgedColonoscopyFemaleHumansMaleMiddle AgedOccult Bloodcolorectal cancerdietary habitsearly diagnosisgut microbiomerandom forestscreening program

Identifiers

PMID39796518
PMCPMC11722828

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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.