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MIP-1α and MCP-1 as salivary biomarkers in periodontal disease

AIM: Chemokines released by different host cells when exposed to the components of periodontopathic bacteria induce and maintain an inflammatory response in the periodontium. The aim of the study was to estimate the salivary levels of two chemokines, macrophage inflammatory protein-1 alpha (MIP-1α)...

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Autores principales: Nisha, K.J., Suresh, Aparnna, Anilkumar, A., Padmanabhan, Shyam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6128325/
https://www.ncbi.nlm.nih.gov/pubmed/30202165
http://dx.doi.org/10.1016/j.sdentj.2018.07.002
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author Nisha, K.J.
Suresh, Aparnna
Anilkumar, A.
Padmanabhan, Shyam
author_facet Nisha, K.J.
Suresh, Aparnna
Anilkumar, A.
Padmanabhan, Shyam
author_sort Nisha, K.J.
collection PubMed
description AIM: Chemokines released by different host cells when exposed to the components of periodontopathic bacteria induce and maintain an inflammatory response in the periodontium. The aim of the study was to estimate the salivary levels of two chemokines, macrophage inflammatory protein-1 alpha (MIP-1α) and monocyte chemo attractant protein-1 (MCP-1) in health, gingivitis and periodontitis and to evaluate their role as reliable salivary biomarkers in discriminating gingivitis and periodontitis from health. METHODS: A cross sectional study was designed to estimate the levels of MIP-1α and MCP-1 in whole unstimulated saliva from 75 patients who were divided into healthy (Group 1, n = 25), gingivitis (Group 2, n = 25) and chronic generalized periodontitis (Group 3, n = 25). MIP-1α and MCP-1 levels were estimated by using ELISA and were correlated with clinical parameters. ROC curve analysis was done to determine the sensitivity and specificity of these biomarkers in distinguishing periodontal disease from health. RESULTS: Both the biomarkers were detected in all the saliva samples. There was a statistically significant difference in the concentration of both the analytes in Group 3 and Group 2 compared with Group 1 (p < 0.001). ROC curve analysis showed 100% sensitivity and specificity for MIP-1α and MCP-1 in discriminating periodontitis from health. For discriminating gingivitis from health, MIP-1α had a higher sensitivity and specificity (100% & 88% respectively) compared to MCP-1(84.1% & 80% respectively). CONCLUSION: There is a substantial increase in the concentration of both MIP-1α and MCP-1 with increasing severity of periodontal disease. Both the analytes showed promising results as biomarkers for discriminating periodontal disease from health.
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spelling pubmed-61283252018-09-10 MIP-1α and MCP-1 as salivary biomarkers in periodontal disease Nisha, K.J. Suresh, Aparnna Anilkumar, A. Padmanabhan, Shyam Saudi Dent J Original Article AIM: Chemokines released by different host cells when exposed to the components of periodontopathic bacteria induce and maintain an inflammatory response in the periodontium. The aim of the study was to estimate the salivary levels of two chemokines, macrophage inflammatory protein-1 alpha (MIP-1α) and monocyte chemo attractant protein-1 (MCP-1) in health, gingivitis and periodontitis and to evaluate their role as reliable salivary biomarkers in discriminating gingivitis and periodontitis from health. METHODS: A cross sectional study was designed to estimate the levels of MIP-1α and MCP-1 in whole unstimulated saliva from 75 patients who were divided into healthy (Group 1, n = 25), gingivitis (Group 2, n = 25) and chronic generalized periodontitis (Group 3, n = 25). MIP-1α and MCP-1 levels were estimated by using ELISA and were correlated with clinical parameters. ROC curve analysis was done to determine the sensitivity and specificity of these biomarkers in distinguishing periodontal disease from health. RESULTS: Both the biomarkers were detected in all the saliva samples. There was a statistically significant difference in the concentration of both the analytes in Group 3 and Group 2 compared with Group 1 (p < 0.001). ROC curve analysis showed 100% sensitivity and specificity for MIP-1α and MCP-1 in discriminating periodontitis from health. For discriminating gingivitis from health, MIP-1α had a higher sensitivity and specificity (100% & 88% respectively) compared to MCP-1(84.1% & 80% respectively). CONCLUSION: There is a substantial increase in the concentration of both MIP-1α and MCP-1 with increasing severity of periodontal disease. Both the analytes showed promising results as biomarkers for discriminating periodontal disease from health. Elsevier 2018-10 2018-07-06 /pmc/articles/PMC6128325/ /pubmed/30202165 http://dx.doi.org/10.1016/j.sdentj.2018.07.002 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Nisha, K.J.
Suresh, Aparnna
Anilkumar, A.
Padmanabhan, Shyam
MIP-1α and MCP-1 as salivary biomarkers in periodontal disease
title MIP-1α and MCP-1 as salivary biomarkers in periodontal disease
title_full MIP-1α and MCP-1 as salivary biomarkers in periodontal disease
title_fullStr MIP-1α and MCP-1 as salivary biomarkers in periodontal disease
title_full_unstemmed MIP-1α and MCP-1 as salivary biomarkers in periodontal disease
title_short MIP-1α and MCP-1 as salivary biomarkers in periodontal disease
title_sort mip-1α and mcp-1 as salivary biomarkers in periodontal disease
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6128325/
https://www.ncbi.nlm.nih.gov/pubmed/30202165
http://dx.doi.org/10.1016/j.sdentj.2018.07.002
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