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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)...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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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. |
format | Online Article Text |
id | pubmed-6128325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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