Evidence map›Paper›PMID 40913361›Full record

ArticleJournal of clinical periodontology2026

Proteome-Guided Drug Target Discovery for Periodontitis.

Zoheir Alayash, Sebastian-Edgar Baumeister, Birte Holtfreter, Thomas Kocher, Hansjörg Baurecht, Benjamin Ehmke, Daniel Hagenfeld, Stefan Lars Reckelkamm, Michael Nolde

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 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. Proteome-Guided Drug Target Discovery for Periodontitis.Journal of clinical periodontology · 2026
    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

9 authors.

Zoheir AlayashInstitute of Health Services Research in Dentistry, University of Münster, Münster, Germany.ORCID 0000-0002-6850-5668
Sebastian-Edgar BaumeisterInstitute of Health Services Research in Dentistry, University of Münster, Münster, Germany.ORCID 0000-0002-9391-6602
Birte HoltfreterDepartment of Restorative Dentistry, Periodontology, Endodontology, and Preventive and Pediatric Dentistry, University Medicine Greifswald, Greifswald, Germany.
Thomas KocherDepartment of Restorative Dentistry, Periodontology, Endodontology, and Preventive and Pediatric Dentistry, University Medicine Greifswald, Greifswald, Germany.
Hansjörg BaurechtDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.
Benjamin EhmkeClinic for Periodontology and Conservative Dentistry, University of Münster, Münster, Germany.
Daniel HagenfeldClinic for Periodontology and Conservative Dentistry, University of Münster, Münster, Germany.ORCID 0000-0003-1072-4865
Stefan Lars ReckelkammInstitute of Health Services Research in Dentistry, University of Münster, Münster, Germany.ORCID 0000-0002-5273-7288
Michael NoldeInstitute of Health Services Research in Dentistry, University of Münster, Münster, Germany.ORCID 0000-0001-6893-7367

Funding

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) 541494246
6 · The paper itself

Abstract

BACKGROUND AND

objectivePeriodontitis is a chronic inflammatory disease driven by immune dysfunction and microbial imbalance. This study aims to identify circulating druggable proteins causally linked to the disease. MATERIALS AND

methodsWe integrated proteomics data from deCODE genetics with periodontitis genome-wide association studies (GWAS) from the Million Veteran Program to identify proteins associated with periodontitis. Findings were replicated using GWAS data from the Gene-Lifestyle Interactions in Dental Endpoints consortium. Causal associations were validated using genetic and statistical methods, and the identified proteins were assessed for biological relevance and druggability.

resultsAmong the 2088 evaluated proteins, three showed robust evidence of causal association with periodontitis: FGF2 (fibroblast growth factor 2) (odds ratio [OR]: 1.06, 95% confidence interval [CI] 1.032-1.082), AZGP1 (zinc-alpha-2-glycoprotein) (OR: 1.12, 95% CI 1.058-1.189) and BTC (betacellulin) (OR: 0.86, 95% CI 0.789-0.942). Replication analysis confirmed associations for 18 proteins, with 16 showing high colocalisation. Further evaluation of drug target databases revealed indirect links between the identified proteins and approved therapies for inflammatory conditions, suggesting potential therapeutic relevance.

conclusionThis study identifies three circulating proteins-FGF2, AZGP1 and BTC-as causally associated with periodontitis, highlighting their potential as therapeutic targets. These results provide a foundation for future research into targeted therapies for periodontitis.

Indexed as

Drug DiscoveryPeriodontitisProteomeFibroblast Growth Factor 2Genome-Wide Association StudyGlycoproteinsHumansMaleProteomicsZn-Alpha-2-GlycoproteinAZGP1 protein, humanFibroblast Growth Factor 2GlycoproteinsProteomeZn-Alpha-2-Glycoproteindrug discoverygeneticsperiodontitisproteome‐wide Mendelian randomisation analysistarget genes

Identifiers

PMID40913361
PMCPMC12695451

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.