Evidence map›Paper›PMID 31312073›Full record

ArticleBioinformation2019

Data mining analysis of human gut microbiota links Fusobacterium spp. with colorectal cancer onset.

Najla Kharrat, Mourad Assidi, Muhammad Abu-Elmagd, Peter N Pushparaj, Areej Alkhaldy, Leila Arfaoui, Muhammad Imran Naseer, Abdelfatteh El Omri, Safia Messaoudi, Abdelbaset Buhmeida and 1 more

Abstract read
In one paragraph

Article in Bioinformation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
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  10. Article
  11. Targeting ProgrammedCancers · 2019
    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

11 authors.

Najla Kharrat1Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnologyof Sfax, Bioinformatics Group, P.O. Box: 1177,Sfax,3018 Tunisia.
Mourad AssidiCenter of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Muhammad Abu-ElmagdCenter of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Peter N PushparajCenter of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Areej AlkhaldyClinical Nutrition Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Leila ArfaouiClinical Nutrition Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Muhammad Imran NaseerCenter of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Abdelfatteh El OmriDepartment of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Safia MessaoudiForensic Biology Department, College of Forensic Sciences, Naif Arab University for Security Sciences, Riyadh, Saudi Arabia.
Abdelbaset BuhmeidaCenter of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Ahmed Rebai1Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnologyof Sfax, Bioinformatics Group, P.O. Box: 1177,Sfax,3018 Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiota and their metabolites play a vital role in colon health and disease. Accumulating evidence suggests that the gut microbiota contributes to the risk of colorectal cancer (CRC). However, the role of a specific microbial community together with their metabolites contributing to the risk, initiation and progression of CRC is still unknown. Hence, we used a Bayesian Networks in combination with the IDA (Intervention calculus when the DAG is absent) to generate a graphical model that allows causal relationships to be inferred from observational data. Results from the analysis of publically available datasets showed that four species: Fusobacteium, Citrobacter, Microbacterium and Slaxkia have estimated non-null lower bounds of causal effects of CRC. These findings support the hypothesis that specific bacterial species (microbial markers) act in concert with locally modified microbiota to cause or influence CRC progression. Additional comprehensive studies are required to validate the potential use of F. nucleatum, Citrobacter as well as Slackia as microbial biomarkers in CRC for prevention, diagnosis, prognosis and/or therapeutics.

Indexed as

bacteriabiomarkerColorectal cancerFusobacterium sppIDA methodmicrobiome

Identifiers

PMID31312073
PMCPMC6614120

What OpenQuestion holds

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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.