Evidence map›Paper›PMID 40076622›Full record

ArticleInternational journal of molecular sciences2025

Temporal Transcriptomic Analysis of Periodontal Disease Progression and Its Molecular Links to Systemic Diseases.

Teerachate Nantakeeratipat, Chiharu Fujihara, Masahide Takedachi

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. 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. Article
  2. 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.

Teerachate NantakeeratipatDepartment of Conservative Dentistry and Prosthodontics, Faculty of Dentistry, Srinakharinwirot University, Watthana, Bangkok 10110, Thailand.
Chiharu FujiharaDepartment of Periodontology and Regenerative Dentistry, Osaka University Graduate School of Dentistry, Suita, Osaka 5650871, Japan.ORCID 0000-0003-0556-9530
Masahide TakedachiDepartment of Periodontology and Regenerative Dentistry, Osaka University Graduate School of Dentistry, Suita, Osaka 5650871, Japan.

Funding

Japan Society for the Promotion of Science 23K27771, 23H03081, 21K19595, and 20H03864
6 · The paper itself

Abstract

Periodontal disease, a prevalent oral inflammatory condition, is implicated in exacerbating systemic diseases. However, the molecular mechanisms underlying this association remain unclear. In this study, we performed RNA sequencing of gingival tissue samples collected from a mouse model of periodontal disease at multiple time points to investigate dynamic transcriptomic changes during disease progression. Our analysis revealed distinct temporal gene expression patterns associated with the key inflammatory and immune response pathways. These findings suggest stepwise molecular progression in the periodontal inflammatory process, potentially contributing to systemic inflammation through shared signaling networks. We further identified specific genes and pathways that may mediate the bidirectional relationship between periodontal disease and systemic conditions such as cardiovascular disease and diabetes. By elucidating the temporal dynamics of molecular changes in periodontal disease, this study provides insights into the pathogenesis and its systemic implications. It identifies potential biomarkers and therapeutic targets for local and systemic disease management.

Indexed as

Gene Expression ProfilingPeriodontal DiseasesTranscriptomeAnimalsBiomarkersCardiovascular DiseasesDisease Models, AnimalDisease ProgressionGene Regulatory NetworksGingivaHumansInflammationMaleMiceSignal TransductionBiomarkersgene expression profilingperiodontal diseaseRNA sequencingtemporal analysistranscription factor enrichment analysistranscriptomics

Identifiers

PMID40076622
PMCPMC11900451

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.