Evidence map›Paper›PMID 41748643›Full record

ArticleNPJ systems biology and applications2026

Ecological and stochastic determinants of the growth and persistence of the oral pathogen Porphyromonas gingivalis.

Moemen Hussein, Arnab Barua, Mohammad Qasaimeh, Matthew Smardz, Patricia I Diaz, Haralampos Hatzikirou

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Moemen Hussein *Department of Biomedical Engineering and Biotechnology, Khalifa University, Abu Dhabi, UAE.
Arnab Barua *Mathematics Department, Khalifa University, Abu Dhabi, UAE.
Mohammad QasaimehDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, UAE.
Matthew SmardzUB Microbiome Center, University at Buffalo, Buffalo, NY, USA.
Patricia I DiazUB Microbiome Center, University at Buffalo, Buffalo, NY, USA.
Haralampos HatzikirouMathematics Department, Khalifa University, Abu Dhabi, UAE. haralampos.hatzikirou@ku.ac.ae.

Funding

Identification of diffusible small molecules that regulate replication of Porphyromonas gingivalisR21DE034093 · NIDCR · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Patricia Diaz · 2025 to 2026
$443k
Khalifa University of Science, Technology and Research RIG-2023-051NIDCR NIH HHS R21 DE034093NIH, NIDCR R21DE034093UAE-NIH Collaborative Research AJF-NIH-25- KU
6 · The paper itself

Abstract

Population density plays a critical role in microbial fitness. However, its influence on pathogen colonization remains incompletely understood. Porphyromonas gingivalis (Pg) is a pathogen that plays a major role in periodontitis. It exhibits Allee-type growth and requires a quorum threshold to replicate. Yet, it is frequently detected at low abundance in vivo. We integrate quantitative growth experiments with mathematical modeling to identify ecological and stochastic determinants of Pg persistence. A cubic Allee-effect model quantifies a quorum threshold below which populations collapse. Conditioned medium from Veillonella parvula (Vp) lowers this threshold, indicating early-colonizer facilitation. Stochastic extensions and Fokker-Planck analysis show that microenvironmental noise enables persistence below the Allee barrier. This behavior is consistent with long-term subthreshold experiments that yield persistent survival. Pg-Vp co-cultures further demonstrate replicate rescue outcomes for subcritical inocula. Vp reliably reaches capacity, constraining terminal phases within the experimental horizon to coexistence or Pg extinction. A two-species replicator model maps these outcomes onto a (β, γ) plane. This mapping restricts accessible regions once Vp is established and suggests interventions that reduce facilitation and limit Pg-associated inflammation.

Indexed as

Porphyromonas gingivalisHumansModels, BiologicalPeriodontitisStochastic Processes

Identifiers

PMID41748643
PMCPMC13061911

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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 OpenQuestion graph.