Evidence map›Paper›PMID 31242607›Full record

ArticleBioengineering (Basel, Switzerland)2019

Influence of Pathogens and Mechanical Stimuli in Inflammation.

Israr B M Ibrahim, Ramana Pidaparti

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Zirconium-based metal-organic frameworks for pathogen detection.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. In Vitro Anti-Inflammatory and Skin Protective Effects ofJournal of microbiology and biotechnology · 2024
    Article
  7. Article
  8. 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

2 authors.

Israr B M IbrahimSchool of ECAM, College of Engineering, University of Georgia, 200 D. W. Brooks Drive, Athens, GA 30602, USA. israr@uga.edu.
Ramana PidapartiSchool of ECAM, College of Engineering, University of Georgia, 200 D. W. Brooks Drive, Athens, GA 30602, USA. rmparti@uga.edu.

Funding

US National Science Foundation CMMI - 1430379
6 · The paper itself

Abstract

Inflammation is a process driven by underlying cell-cell communication and many other factors. In this study, a model of cell-cell communications was proposed to study factors driving the inflammation time course. Analyses of inflammations that are driven by the combined effects of strain (mechanical stimuli) and/or pathogens are considered in this paper. An agent-based model was employed to simulate inflammation where macrophages and fibroblasts influence each other through cell signaling cytokines that diffuse and spread in the tissue space. The communication network of macrophages and fibroblasts was then inferred and its network model (termed TE network) was generated and analyzed. The results suggest that factors driving inflammation time course can be discriminated by the characteristics of TE networks. Inflammation driven only by pathogens has certain TE network characteristics indicating slower and lower information exchange among cells. Multiple stimuli can help to maintain sufficient information exchange among cells, which is beneficial for inflammation resolution. The TE network captures the unfolding of the innate immune system over time, and the history of pathogens invasion. The resulting network leads to an improved understanding of the resilience of the system to future pathogen invasion.

Indexed as

cell communicationinflammationnetwork

Identifiers

PMID31242607
PMCPMC6630537

What OpenQuestion holds

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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.