Evidence map›Paper›PMID 42007992›Full record

ReviewArchives of microbiology2026

Divergent mechanistic pathways of diarrheagenic bacterial infections at the host-microbiota interface: a review.

Michael Tosin Bayode, Oluwatoyosi Ezekiel Olawale, Olubukola Olayemi Olusola-Makinde

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of microbiology, 2026. 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. Frontiers in cellular and infection microbiology · 2026
    Article
  2. The BaeS/BaeR two-component system enhancesFrontiers in cellular and infection microbiology · 2026
    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

3 authors.

Michael Tosin BayodeDepartment of Microbiology, School of Life Sciences, Federal University of Technology Akure, P.M.B 704, Akure, Ondo State, Nigeria. bayodemtmcb@futa.edu.ng.
Oluwatoyosi Ezekiel OlawaleDepartment of Microbiology, School of Life Sciences, Federal University of Technology Akure, P.M.B 704, Akure, Ondo State, Nigeria.
Olubukola Olayemi Olusola-MakindeDepartment of Microbiology, School of Life Sciences, Federal University of Technology Akure, P.M.B 704, Akure, Ondo State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial diarrheal diseases continue to constitute a major burden on global public health, particularly within pediatric populations in low-resource settings. While clinically unified by the symptomology of diarrhea, the primary causative agents; Enterotoxigenic Escherichia coli (ETEC), Shigella species, Salmonella enterica, and Clostridioides difficile employ fundamentally distinct molecular strategies to subvert intestinal homeostasis. This review presents a comparative analysis of these ecosystem engineers, proposing that their pathogenicity is defined by their unique management of the host-microbiota metabolic and signaling conflict. We advance beyond the traditional host-pathogen dyad to explore a mechanistic triangle, integrating recent findings that the microbiota acts as a dynamic third player imposing colonization resistance via secondary bile acids and nutrient competition (proline), or conversely, providing metabolic fuel (formate, tetrathionate) for pathogen expansion. We synthesize advanced molecular insights from including the energetics of the Shigella T3SS sorting platform (Spa47); the multilayered "effector-immunity arms race" involving the Shigella effectors OspC1 and OspD3 in manipulating necroptosis; novel Salmonella T3SS-2 targets such as LMO4 and SteA-mediated ER contact sites; and the receptor diversity of C. difficile TcdB variants. Finally, we map these mechanisms to next-generation therapeutic vulnerabilities, highlighting the transition from broad-spectrum antibiotics to precision bacteriophage biocontrol (LPEK22, LPST94) and AI-discovered lysins (DeepLysin) as the future of intervention.

Indexed as

Bacterial InfectionsDiarrheaGastrointestinal MicrobiomeHost-Pathogen InteractionsAnimalsClostridioides difficileEnterotoxigenic Escherichia coliHumansSalmonella entericaShigellaBacteriaDiarrheaGut microbiotaHost‒pathogen interactionVirulence factors

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.