Evidence map›Paper›PMID 39448785›Full record

ArticleScientific reports2024

Genetically predicted gut bacteria, circulating bacteria-associated metabolites and pancreatic ductal adenocarcinoma: a Mendelian randomisation study.

Neil Daniel, Riccardo Farinella, Anastasia Chrysovalantou Chatziioannou, Mazda Jenab, Ana-Lucia Mayén, Cosmeri Rizzato, Flavia Belluomini, Federico Canzian, Arianna Tavanti, Pekka Keski-Rahkonen and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Neil Daniel *Molecular Epidemiology of Cancer Group, UCD Conway Institute, School of Biomedical and Biomolecular Sciences, University College Dublin, Dublin, Ireland.
Riccardo Farinella *Department of Biology, University of Pisa, Pisa, Italy.
Anastasia Chrysovalantou ChatziioannouNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), Lyon, France.
Mazda JenabNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), Lyon, France.
Ana-Lucia MayénNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), Lyon, France.
Cosmeri RizzatoDepartment of Biology, University of Pisa, Pisa, Italy.
Flavia BelluominiDepartment of Biology, University of Pisa, Pisa, Italy.
Federico CanzianGenomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Arianna TavantiDepartment of Biology, University of Pisa, Pisa, Italy.
Pekka Keski-RahkonenNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), Lyon, France.
David J Hughes *Molecular Epidemiology of Cancer Group, UCD Conway Institute, School of Biomedical and Biomolecular Sciences, University College Dublin, Dublin, Ireland. david.hughes@ucd.ie.ORCID http://orcid.org/0000-0003-1668-8770
Daniele Campa *Department of Biology, University of Pisa, Pisa, Italy.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) has high mortality and rising incidence rates. Recent data indicate that the gut microbiome and associated metabolites may play a role in the development of PDAC. To complement and inform observational studies, we investigated associations of genetically predicted abundances of individual gut bacteria and genetically predicted circulating concentrations of microbiome-associated metabolites with PDAC using Mendelian randomisation (MR). Gut microbiome-associated metabolites were identified through a comprehensive search of Pubmed, Exposome Explorer and Human Metabolome Database. Single Nucleotide Polymorphisms (SNPs) associated by Genome-Wide Association Studies (GWAS) with circulating levels of 109 of these metabolites were collated from Pubmed and the GWAS catalogue. SNPs for 119 taxonomically defined gut genera were selected from a meta-analysis performed by the MiBioGen consortium. Two-sample MR was conducted using GWAS summary statistics from the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4), including a total of 8,769 cases and 7,055 controls. Inverse variance-weighted MR analyses were performed along with sensitivity analyses to assess potential violations of MR assumptions. Nominally significant associations were noted for genetically predicted circulating concentrations of mannitol (odds ratio per standard deviation [OR

Indexed as

Carcinoma, Pancreatic DuctalGastrointestinal MicrobiomeGenome-Wide Association StudyMendelian Randomization AnalysisPancreatic NeoplasmsPolymorphism, Single NucleotideBacteriaCase-Control StudiesHumansMaleMetabolomeBacteria-related metabolitesGut microbiomeMendelian randomisationPancreatic ductal adenocarcinoma

Identifiers

PMID39448785
PMCPMC11502931

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.