Evidence map›Paper›PMID 39026560›Full record

ArticleCurrent research in immunology2024

Cytokine levels in gingival tissues as an indicator to understand periodontal disease severity.

Pratebha Balu, Agiesh Kumar Balakrishna Pillai, Vignesh Mariappan, Sudhakar Ramalingam

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Article in Current research in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Pratebha BaluDepartment of Periodontology, Indira Gandhi Institute of Dental Sciences (IGIDS), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, 607402, India.
Agiesh Kumar Balakrishna PillaiMahatma Gandhi Medical Advanced Research Institute (MGMARI)Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, 607402, India.
Vignesh MariappanMahatma Gandhi Medical Advanced Research Institute (MGMARI),Sri Balaji Vidyapeeth, (Deemed to be University), Puducherry, 607402, India.
Sudhakar RamalingamOral &Maxillofacial pathology and microbiology, Sri Venkateshwara dental college, Puducherry, 605102, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytokines regulate periodontal pathogenesis and are relevant estimates of current disease activity. There is sparse information on status of cytokine protein levels in periodontal pocket (gingival) tissues. The current study analysed proteins and transcripts of selected cytokines in varying severity of periodontal disease and elucidated cytokine/cytokine ratios that best indicated periodontal disease severity, in gingival tissues. A total of 92 participants comprising of generalised moderate periodontitis (GMP, n = 18), generalised severe periodontitis (GSP, n = 46) and periodontally healthy controls (PHC, n = 25) were recruited for the study. Interproximal gingival tissue samples were utilised for cytokine protein estimation and mRNA quantification by qRT-PCR and ELISA respectively. Selected key pro and anti-inflammatory cytokines, also representative of various Th subsets were analysed. ROC curve analysis was performed and Youden index was calculated for individual cytokines and pro/anti-inflammatory cytokine ratio to estimate the best indicator of periodontal severity/progression in tissues. IL-1β, TGF-β and IFN-γ cytokine protein levels varied significantly (p ≤ 0.05) with severity of periodontal disease between groups. On comparison between deep and shallow sites within same participant, deep sites showed significant elevation of TGF-β (p ≤ 0.01) and IFN-γ (p ≤ 0.05) and IL-17 cytokines and shallow sites showed elevation of IL-4(p ≤ 0.01) and IL-1β (p ≤ 0.05) cytokines. Analysis of transcripts showed IFN-γ and IL-1β transcript predominance in GSP (p = 0.01) compared to PHC. ROC analysis illustrated 97% sensitivity, 93% specificity with Youden index of 90% for IL-1β cytokine and 81%sensitivity, 79% specificity with a Youden index of 60% for IL-1β/TGF-β ratio In periodontal pocket tissue, a lack of distinct predominance of specific cytokines between study groups or between shallow and deep sites affected by periodontal disease was observed. However, ROC analysis of cytokines revealed IL-1β cytokine and IL-1β/TGF-β ratio as promising indicators of periodontal disease severity in gingival tissues.

Indexed as

BiomarkersImmunoassayPeriodontal diseasePrognosisROC curve

Identifiers

PMID39026560
PMCPMC11254528

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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.