Evidence map›Paper›PMID 41347541›Full record

ArticleBiomolecules & biomedicine2025

Immune-related gene expression in severe periodontitis assessed by NanoString technology: A preliminary study.

Dragomira Nikolova, Velitchka Dosseva-Panova, Dimitar Dimitrov, Savina Hadjidekova, Ivanka Dimova

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Article in Biomolecules & biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dragomira NikolovaDepartment of Medical Genetics, Faculty of Medicine, Medical University of Sofia, Sofia, Bulgaria.
Velitchka Dosseva-PanovaDepartment of Periodontology, Faculty of Dental Medicine, Medical University of Sofia, Sofia, Bulgaria.
Dimitar DimitrovDepartment of Periodontology, Faculty of Dental Medicine, Medical University of Sofia, Sofia, Bulgaria.
Savina HadjidekovaDepartment of Medical Genetics, Faculty of Medicine, Medical University of Sofia, Sofia, Bulgaria.
Ivanka DimovaDepartment of Medical Genetics, Faculty of Medicine, Medical University of Sofia, Sofia, Bulgaria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periodontitis is an inflammatory disease characterized by the destruction of the periodontal attachment apparatus, which includes alveolar bone, periodontal ligament, and cementum. This destruction is driven by a dysregulated host immune response to pathogenic subgingival biofilm. The present preliminary study aimed to evaluate immune-related gene expression patterns in patients with stage III/IV periodontitis utilizing the NanoString nCounter® platform. Unstimulated saliva samples were collected from twelve individuals: ten with severe periodontitis (stage III/IV) and two periodontally healthy controls. Total RNA was isolated and analyzed using the nCounter® Human Inflammation Panel, which profiles 249 inflammation-associated human genes. Data normalization and differential expression analysis were performed with nSolver™ software. Following quality control, genes with low expression (mean normalized counts < 20) were excluded, resulting in 89 genes available for comparison. Among these, 26 genes (29.2%) met a predefined effect-size threshold (|log2FC| ≥ 1), comprising 23 upregulated and 3 downregulated transcripts in the periodontitis group. Notably, the upregulated genes HLA-DRB1 (p = 0.003; FDR = 0.267) and CCR1 (p = 0.007; FDR = 0.312) exhibited relatively large log2 fold changes and the lowest unadjusted p-values; however, neither retained significance after FDR correction. These findings underscore the feasibility of salivary gene expression profiling as a method for identifying molecular markers associated with disease severity. Given their roles in immune activation and leukocyte recruitment, HLA-DRB1 and CCR1 emerge as potential biomarker candidates for detection, risk stratification, and therapeutic monitoring in periodontitis, necessitating validation in larger, well-characterized cohorts.

Indexed as

PeriodontitisAdultFemaleGene Expression ProfilingGene Expression RegulationHLA-DRB1 ChainsHumansMaleMiddle AgedSalivaHLA-DRB1 Chains

Identifiers

PMID41347541
PMCPMC12873750

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