Evidence map›Paper›PMID 34357350›Full record

ArticleMetabolites2021

A Metabolic Model of Intestinal Secretions: The Link between Human Microbiota and Colorectal Cancer Progression.

Pejman Salahshouri, Modjtaba Emadi-Baygi, Mahdi Jalili, Faiz M Khan, Olaf Wolkenhauer, Ali Salehzadeh-Yazdi

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Toward the Next Generation of In Silico Modeling of Dynamic Host-Microbiota Interactions in the Skin.JID innovations : skin science from molecules to population health · 2025
    Review
  3. Metagenomics reveals an increased proportion of anJournal of Zhejiang University. Science. B · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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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

6 authors.

Pejman SalahshouriDepartment of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord 8818634141, Iran.
Modjtaba Emadi-BaygiDepartment of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord 8818634141, Iran.
Mahdi JaliliHematology, Oncology and SCT Research Center, Tehran University of Medical Sciences, Tehran 14114, Iran.ORCID 0000-0002-5491-089X
Faiz M KhanDepartment of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany.
Olaf WolkenhauerDepartment of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany.
Ali Salehzadeh-YazdiDepartment of Systems Biology and Bioinformatics, University of Rostock, 18051 Rostock, Germany.ORCID 0000-0002-1678-0051

Funding

Bundesministerium für Bildung und Forschung FKZ 01ZX1903B
6 · The paper itself

Abstract

The human gut microbiota plays a dual key role in maintaining human health or inducing disorders, for example, obesity, type 2 diabetes, and cancers such as colorectal cancer (CRC). High-throughput data analysis, such as metagenomics and metabolomics, have shown the diverse effects of alterations in dynamic bacterial populations on the initiation and progression of colorectal cancer. However, it is well established that microbiome and human cells constantly influence each other, so it is not appropriate to study them independently. Genome-scale metabolic modeling is a well-established mathematical framework that describes the dynamic behavior of these two axes at the system level. In this study, we created community microbiome models of three conditions during colorectal cancer progression, including carcinoma, adenoma and health status, and showed how changes in the microbial population influence intestinal secretions. Conclusively, our findings showed that alterations in the gut microbiome might provoke mutations and transform adenomas into carcinomas. These alterations include the secretion of mutagenic metabolites such as H

Indexed as

colorectal cancercommunity metabolic modelinggenome-scale metabolic modelmicrobiome

Identifiers

PMID34357350
PMCPMC8303431

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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.