Paras Ahmad, Andrea Escalante-Herrera, Lina M Marin, Walter L Siqueira
Aim: The current study aimed to: (1) systematically review the published literature regarding the proteomics analyses of saliva and gingival crevicular fluid (GCF) in healthy humans and gingivitis and/or periodontitis patients; and (2) to identify the differentially expressed proteins (DEPs) based on the systematic review, and comprehensively conduct meta-analyses and bioinformatics analyses.
Methods: An online search of Web of Science, Scopus, and PubMed was performed without any restriction on the year and language of publication. After the identification of the DEPs reported by the included human primary studies, gene ontology (GO), the Kyoto encyclopedia of genes and genomes pathway (KEGG), protein-protein interaction (PPI), and meta-analyses were conducted. The risk of bias among the included studies was evaluated using the modified Newcastle-Ottawa quality assessment scale.
Results: The review identified significant differences in protein expression between healthy individuals and those with gingivitis and periodontitis. In GCF, 247 proteins were upregulated and 128 downregulated in periodontal diseases. Saliva analysis revealed 79 upregulated and 70 downregulated proteins. There were distinct protein profiles between gingivitis and periodontitis, with 159 and 31 unique upregulated proteins in GCF, respectively. Meta-analyses confirmed significant upregulation of various proteins in periodontitis, including ALB and MMP9, while CSTB and GSTP1 were downregulated. AMY1A and SERPINA1 were upregulated in periodontitis saliva. HBD was upregulated in gingivitis GCF, while DEFA3 was downregulated. PPI analysis revealed complex networks of interactions among DEPs. GO and KEGG pathway analyses provided insights into biological processes and pathways associated with periodontal diseases.
Conclusion: The ongoing MS-based proteomics studies emphasize the need for a highly sensitive and specific diagnostic tool for periodontal diseases. Clinician acceptance of the eventual diagnostic method relies on its ability to provide superior or complementary information to current clinical assessment procedures. Future research should prioritize the multiplex measurement of multiple biomarkers simultaneously to enhance diagnostic accuracy and large study cohorts are necessary to ensure the validity and reliability of research findings.
{"title":"Progression from healthy periodontium to gingivitis and periodontitis: Insights from bioinformatics-driven proteomics - A systematic review with meta-analysis.","authors":"Paras Ahmad, Andrea Escalante-Herrera, Lina M Marin, Walter L Siqueira","doi":"10.1111/jre.13313","DOIUrl":"https://doi.org/10.1111/jre.13313","url":null,"abstract":"<p><strong>Aim: </strong>The current study aimed to: (1) systematically review the published literature regarding the proteomics analyses of saliva and gingival crevicular fluid (GCF) in healthy humans and gingivitis and/or periodontitis patients; and (2) to identify the differentially expressed proteins (DEPs) based on the systematic review, and comprehensively conduct meta-analyses and bioinformatics analyses.</p><p><strong>Methods: </strong>An online search of Web of Science, Scopus, and PubMed was performed without any restriction on the year and language of publication. After the identification of the DEPs reported by the included human primary studies, gene ontology (GO), the Kyoto encyclopedia of genes and genomes pathway (KEGG), protein-protein interaction (PPI), and meta-analyses were conducted. The risk of bias among the included studies was evaluated using the modified Newcastle-Ottawa quality assessment scale.</p><p><strong>Results: </strong>The review identified significant differences in protein expression between healthy individuals and those with gingivitis and periodontitis. In GCF, 247 proteins were upregulated and 128 downregulated in periodontal diseases. Saliva analysis revealed 79 upregulated and 70 downregulated proteins. There were distinct protein profiles between gingivitis and periodontitis, with 159 and 31 unique upregulated proteins in GCF, respectively. Meta-analyses confirmed significant upregulation of various proteins in periodontitis, including ALB and MMP9, while CSTB and GSTP1 were downregulated. AMY1A and SERPINA1 were upregulated in periodontitis saliva. HBD was upregulated in gingivitis GCF, while DEFA3 was downregulated. PPI analysis revealed complex networks of interactions among DEPs. GO and KEGG pathway analyses provided insights into biological processes and pathways associated with periodontal diseases.</p><p><strong>Conclusion: </strong>The ongoing MS-based proteomics studies emphasize the need for a highly sensitive and specific diagnostic tool for periodontal diseases. Clinician acceptance of the eventual diagnostic method relies on its ability to provide superior or complementary information to current clinical assessment procedures. Future research should prioritize the multiplex measurement of multiple biomarkers simultaneously to enhance diagnostic accuracy and large study cohorts are necessary to ensure the validity and reliability of research findings.</p>","PeriodicalId":16715,"journal":{"name":"Journal of periodontal research","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141317592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad H A Saleh, Ann M Decker, Khushboo Kalani, Khoa Hoang, Obada Mandil, Parth Gathalia, Bidisha Ray, Njira Lugogo, Hom-Lay Wang
Aims: This study aimed to investigate the association between asthma, related allergies and medication use, and the presence and severity of periodontitis among individuals at the University of Michigan School of Dentistry.
Methods: Employing a case-control design, the study analyzed data from 892 patients, half with asthma and half without asthma. Data collection included demographics, asthma history, medication use, allergies, and periodontal examination outcomes, including probing pocket depth (PPD), mobility, furcation involvement, and radiographic bone loss (RBL). Logistic regression models assessed the relationship between asthma and periodontitis, adjusting for confounders.
Results: Asthmatic patients exhibited significantly lower odds of periodontitis (OR = 0.10, p < .001) and were less likely to present with advanced stages (OR = 0.23, p < .001) and grades of the disease (OR = 0.31, p < .001) compared to non-asthmatic patients. The study also found a higher proportion of females in the asthmatic group (67% vs. 51.8%, p < .001). Smoking was identified as a significant factor associated with periodontitis in patients with asthma, with former smokers at more than double the odds (OR = 2.28, p = .035) and current smokers at a slightly lower yet significant odds (OR = 1.87, p = .050). Additionally, asthmatic patients on adrenergic inhalers had an increased likelihood of developing periodontitis (OR = 1.76, p = .045). Allergies to codeine and latex were associated with higher odds of periodontitis, with ORs of 3.41 and 6.09, respectively.
Conclusions: Asthma was found to be associated with lower odds of periodontitis. However, this association appears to be modified by smoking habits and the use of certain asthma medications, which are related to an increased likelihood of periodontitis among asthmatic patients.
{"title":"Association between asthma and periodontitis: A case-control analysis of risk factors, related medications, and allergic responses.","authors":"Muhammad H A Saleh, Ann M Decker, Khushboo Kalani, Khoa Hoang, Obada Mandil, Parth Gathalia, Bidisha Ray, Njira Lugogo, Hom-Lay Wang","doi":"10.1111/jre.13311","DOIUrl":"10.1111/jre.13311","url":null,"abstract":"<p><strong>Aims: </strong>This study aimed to investigate the association between asthma, related allergies and medication use, and the presence and severity of periodontitis among individuals at the University of Michigan School of Dentistry.</p><p><strong>Methods: </strong>Employing a case-control design, the study analyzed data from 892 patients, half with asthma and half without asthma. Data collection included demographics, asthma history, medication use, allergies, and periodontal examination outcomes, including probing pocket depth (PPD), mobility, furcation involvement, and radiographic bone loss (RBL). Logistic regression models assessed the relationship between asthma and periodontitis, adjusting for confounders.</p><p><strong>Results: </strong>Asthmatic patients exhibited significantly lower odds of periodontitis (OR = 0.10, p < .001) and were less likely to present with advanced stages (OR = 0.23, p < .001) and grades of the disease (OR = 0.31, p < .001) compared to non-asthmatic patients. The study also found a higher proportion of females in the asthmatic group (67% vs. 51.8%, p < .001). Smoking was identified as a significant factor associated with periodontitis in patients with asthma, with former smokers at more than double the odds (OR = 2.28, p = .035) and current smokers at a slightly lower yet significant odds (OR = 1.87, p = .050). Additionally, asthmatic patients on adrenergic inhalers had an increased likelihood of developing periodontitis (OR = 1.76, p = .045). Allergies to codeine and latex were associated with higher odds of periodontitis, with ORs of 3.41 and 6.09, respectively.</p><p><strong>Conclusions: </strong>Asthma was found to be associated with lower odds of periodontitis. However, this association appears to be modified by smoking habits and the use of certain asthma medications, which are related to an increased likelihood of periodontitis among asthmatic patients.</p>","PeriodicalId":16715,"journal":{"name":"Journal of periodontal research","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11628641/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141296280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}