Evidence map›Paper›PMID 40957584›Full record

ArticleJournal of clinical periodontology2026

Pharmacovigilance-Based Identification and Mechanistic Exploration of Periodontitis-Related Drugs.

Wuda Huoshen, Junkai Xiong, Xunmi Ma, Heng Wang, Panyu Cheng, Xinyu Chen, Ge Shuai, Yi Chen, Xinyue Zhang, Chen Sun and 2 more

Abstract read
In one paragraph

Article in Journal of clinical periodontology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

12 authors.

Wuda HuoshenSchool of Stomatology, Southwest Medical University, Luzhou, Sichuan, China.ORCID 0009-0002-9513-7669
Junkai XiongSchool of Stomatology, Southwest Medical University, Luzhou, Sichuan, China.
Xunmi MaSchool of Stomatology, Southwest Medical University, Luzhou, Sichuan, China.
Heng WangSchool of Stomatology, Southwest Medical University, Luzhou, Sichuan, China.ORCID 0009-0000-7508-6708
Panyu ChengSchool of Stomatology, Southwest Medical University, Luzhou, Sichuan, China.
Xinyu ChenSchool of Stomatology, Southwest Medical University, Luzhou, Sichuan, China.
Ge ShuaiSchool of Stomatology, Nanchang University, Nanchang, Jiangxi, China.
Yi ChenSchool of Health Caring Industry, Sichuan University of Arts and Science, Dazhou, Sichuan, China.
Xinyue ZhangDepartment of Endodontics, The Affiliated Stomatological Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Chen SunDepartment of Periodontics and Oral Mucosal Diseases, The Affiliated Stomatology Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Chunhui LiDepartment of Periodontics and Oral Mucosal Diseases, The Affiliated Stomatology Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Rui ShiDepartment of Periodontics and Oral Mucosal Diseases, The Affiliated Stomatology Hospital, Southwest Medical University, Luzhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeriodontitis is a common chronic inflammatory disease. However, drug-related risks and underlying molecular mechanisms remain underexplored from large real-world data.

methodsWe first mined the US Food and Drug Administration Adverse Event Reporting System (FAERS) database to identify drugs disproportionately associated with periodontitis, using four signal detection algorithms and logistic regression for confounder adjustment. Identified drugs were then mapped to their protein targets via DrugBank, followed by pathway enrichment and protein-protein interaction (PPI) network analysis to explore biological relevance. To assess potential causality, we conducted Mendelian randomisation (MR) using cis-pQTLs from UKB-PPP and deCODE cohorts. Finally, we used single-cell RNA sequencing (scRNA-seq) data from gingival tissue and peripheral blood of periodontitis patients to evaluate cell type-specific expression of candidate causal genes.

resultsFive drugs (actonel, aclasta, aredia, amlodipine and avastin) were significantly positively associated with periodontitis based on FAERS. VEGFA showed an association with disease risk (OR = 1.043, p = 0.049) after meta-analysis of two cohorts. scRNA-seq data identified high VEGFA expression in monocytes in both gingival and blood samples of periodontitis patients.

conclusionThis study uncovered the association between drug and periodontitis and highlighted VEGFA as a potential molecular mediator. Further studies are needed to confirm causality.

Indexed as

PeriodontitisPharmacovigilanceAdverse Drug Reaction Reporting SystemsHumansMendelian Randomization AnalysisProtein Interaction MapsUnited StatesUnited States Food and Drug AdministrationVascular Endothelial Growth Factor AVascular Endothelial Growth Factor AVEGFA protein, humandrug targetsFAERS databaseMendelian randomisationperiodontitissingle‐cell RNA sequencing

Identifiers

PMID40957584
PMCPMC12695453

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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.