Evidence map›Paper›PMID 41225122›Full record

ReviewAdvances in experimental medicine and biology2026

Immune and Stem Cell Interactions in Periodontal Disease: The Regulatory Role of Toll-Like Receptor 3.

Mohamed Mekhemar, Tobias Hahn

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 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

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

1 citing paper in PubMed.

  1. 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.

Mohamed MekhemarClinic for Conservative Dentistry and Periodontology, Kiel University, Kiel, Germany. mekhemar@konspar.uni-kiel.de.
Tobias HahnClinic for Conservative Dentistry and Periodontology, Kiel University, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toll-like receptor 3 (TLR3) is a vital component of the innate immune system known for its role in recognizing double-stranded RNA (dsRNA), which is commonly associated with viral infections. Within the periodontium, TLR3 is expressed by several cell types, including periodontal ligament cells, gingival fibroblasts, and resident mesenchymal stem/progenitor cells. When activated, TLR3 triggers a series of immunomodulatory responses, such as the upregulation of interferon-gamma (IFN-γ), indoleamine 23-dioxygenase (IDO), and human leukocyte antigen G (HLA-G). These responses collectively influence the local immune environment, promote regulatory T cell differentiation, and modulate the inflammatory process. Crucially, TLR3 activation also plays a significant role in shaping the microenvironment within the periodontium, affecting the regenerative potential of resident mesenchymal stem/progenitor cells. By altering the interactions between these cells and their surrounding environment, TLR3 can either facilitate or hinder tissue repair and regeneration, depending on the disease context. This chapter delves into the complex role of TLR3 in the periodontium, with a particular emphasis on how it influences microenvironmental dynamics in periodontal disease. Understanding these processes opens new avenues for developing targeted therapies that control inflammation, optimize the tissue environment, and enhance periodontal regeneration, ultimately improving the treatment of periodontal disease.

Indexed as

Cell CommunicationMesenchymal Stem CellsPeriodontal DiseasesToll-Like Receptor 3AnimalsHumansImmunity, InnatePeriodontal LigamentTLR3 protein, humanToll-Like Receptor 3DifferentiationImmunomodulationInflammationStem cellsStemnessToll-like receptor 3

Identifiers

PMID41225122

What OpenQuestion holds

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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 OpenQuestion graph.