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Diagnostic Accuracy of Novel Protein Biomarkers in Saliva to Detect Periodontitis Using Untargeted ‘SWATH’ Mass Spectrometry
ABSTRACT Aim To discover new salivary biomarkers to diagnose periodontitis and evaluate the impact of age and smoking on predictive capacity. Material and Methods Saliva samples were collected from 44 healthy periodontal individuals and 41 with periodontitis. Samples were analysed by sequential wind...
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Published in: | Journal of clinical periodontology 2025-02, Vol.52 (2), p.199-214 |
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description | ABSTRACT
Aim
To discover new salivary biomarkers to diagnose periodontitis and evaluate the impact of age and smoking on predictive capacity.
Material and Methods
Saliva samples were collected from 44 healthy periodontal individuals and 41 with periodontitis. Samples were analysed by sequential window acquisition of all theoretical mass spectra (SWATH‐MS), and proteins were identified by employing the UniProt database. The diagnostic capacity of the molecules was determined with generalized additive models. The models obtained were single‐protein unadjusted and adjusted for age and smoking status, besides two‐protein combinations.
Results
Eight single salivary proteins had a bias‐corrected accuracy (bc‐ACC) of 78.8%–86.8% (bc‐sensitivity/bc‐specificity of 62.5%–86.9%/60.9%–98.1%) to diagnose periodontitis. Predictive capacity increased more by adjusting for age (bc‐ACC: 94.1%–98.2%; bc‐sensitivity/bc‐specificity: 90.2%–98.6%/93.6%–97.2%) than smoking (bc‐ACC: 83.9%–90.4%; bc‐sensitivity/bc‐specificity: 73.6%–89.9%/76.2%–96.4%). These proteins were keratin, type II cytoskeletal 1, protein S100‐A8, β‐2‐microglobulin, neutrophil defensin 1, lysozyme C, ubiquitin‐60S ribosomal protein L40, isoform 2 of tropomyosin α‐3 chain and resistin. Two dual combinations showed bc‐sensitivity/bc‐specificity of > 90%: β‐2‐microglobulin with profilin‐1, and lysozyme C with zymogen granule protein 16 homologue B.
Conclusions
New salivary biomarkers show good or excellent ability to diagnose periodontitis. Age has a more significant influence on the accuracy of the single biomarkers than smoking, with results comparable to two‐protein combinations. |
doi_str_mv | 10.1111/jcpe.14103 |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11743018</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3157040167</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3383-fccc222c505472b6fe43113ac95b780bc0dc4d01fcaad488498d1d38a8dfc4133</originalsourceid><addsrcrecordid>eNp9kUFuEzEUhi0EoqGw4QDIEhuENOW9sSeeWaGQFgoqECmNYGc5Hk9wmIyD7QnKrr1F2XEWjtKT4JJSAQu8saz_86f39BPyEOEA03m21GtzgByB3SIDHAJkUODH22QADFg2rES1R-6FsARAwRi7S_ZYJVIEYkDOD61adC5Eq-lI694rvaWuoe_cxrR04l00tqMvrFsp_9n4QNNrqlq7UTQ6emii0ZFOjLeudl200QY6C7Zb0FkXlV-kvKaXZxfTD6PT48uzbz--v1Uh0Ok6ffNuZaLf3id3GtUG8-D63iezl0en4-Ps5P2r1-PRSaYZK1nWaK3zPNcFFFzk82FjOENkSlfFXJQw11BrXgM2WqmalyWvyhprVqqybjRHxvbJ85133c9Xptami161cu1tWm0rnbLy76Szn-TCbSSi4AywTIYn1wbvvvQmRLmyQZu2VZ1xfZAMeSUKwSFP6ON_0KXrfZf2S1QhgAMORaKe7ijtXQjeNDfTIMirauVVtfJXtQl-9Of8N-jvLhOAO-Crbc32Pyr5Zjw52kl_Aov7s0c</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3157040167</pqid></control><display><type>article</type><title>Diagnostic Accuracy of Novel Protein Biomarkers in Saliva to Detect Periodontitis Using Untargeted ‘SWATH’ Mass Spectrometry</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Blanco‐Pintos, T. ; Regueira‐Iglesias, A. ; Relvas, M. ; Alonso‐Sampedro, M. ; Bravo, S. B. ; Balsa‐Castro, C. ; Tomás, I.</creator><creatorcontrib>Blanco‐Pintos, T. ; Regueira‐Iglesias, A. ; Relvas, M. ; Alonso‐Sampedro, M. ; Bravo, S. B. ; Balsa‐Castro, C. ; Tomás, I.</creatorcontrib><description>ABSTRACT
Aim
To discover new salivary biomarkers to diagnose periodontitis and evaluate the impact of age and smoking on predictive capacity.
Material and Methods
Saliva samples were collected from 44 healthy periodontal individuals and 41 with periodontitis. Samples were analysed by sequential window acquisition of all theoretical mass spectra (SWATH‐MS), and proteins were identified by employing the UniProt database. The diagnostic capacity of the molecules was determined with generalized additive models. The models obtained were single‐protein unadjusted and adjusted for age and smoking status, besides two‐protein combinations.
Results
Eight single salivary proteins had a bias‐corrected accuracy (bc‐ACC) of 78.8%–86.8% (bc‐sensitivity/bc‐specificity of 62.5%–86.9%/60.9%–98.1%) to diagnose periodontitis. Predictive capacity increased more by adjusting for age (bc‐ACC: 94.1%–98.2%; bc‐sensitivity/bc‐specificity: 90.2%–98.6%/93.6%–97.2%) than smoking (bc‐ACC: 83.9%–90.4%; bc‐sensitivity/bc‐specificity: 73.6%–89.9%/76.2%–96.4%). These proteins were keratin, type II cytoskeletal 1, protein S100‐A8, β‐2‐microglobulin, neutrophil defensin 1, lysozyme C, ubiquitin‐60S ribosomal protein L40, isoform 2 of tropomyosin α‐3 chain and resistin. Two dual combinations showed bc‐sensitivity/bc‐specificity of > 90%: β‐2‐microglobulin with profilin‐1, and lysozyme C with zymogen granule protein 16 homologue B.
Conclusions
New salivary biomarkers show good or excellent ability to diagnose periodontitis. Age has a more significant influence on the accuracy of the single biomarkers than smoking, with results comparable to two‐protein combinations.</description><identifier>ISSN: 0303-6979</identifier><identifier>ISSN: 1600-051X</identifier><identifier>EISSN: 1600-051X</identifier><identifier>DOI: 10.1111/jcpe.14103</identifier><identifier>PMID: 39730307</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Accuracy ; Adult ; Age Factors ; Aged ; Biomarkers ; Biomarkers - analysis ; Case-Control Studies ; Cytoskeleton ; Defensins ; Diagnosis, Epidemiology and Associated Co‐morbidities ; diagnostic accuracy ; Female ; Gum disease ; Humans ; Keratin ; Leukocytes (neutrophilic) ; Lysozyme ; Male ; Mass Spectrometry - methods ; Mass spectroscopy ; Middle Aged ; molecular biomarkers ; Molecular modelling ; Muramidase - analysis ; Original ; Periodontitis ; Periodontitis - diagnosis ; Periodontitis - metabolism ; Proenzymes ; Profilin ; Proteins ; proteomics ; Saliva ; Saliva - chemistry ; Salivary Proteins and Peptides - analysis ; Sensitivity and Specificity ; Smoking ; SWATH‐MS ; Tropomyosin ; Ubiquitin</subject><ispartof>Journal of clinical periodontology, 2025-02, Vol.52 (2), p.199-214</ispartof><rights>2024 The Author(s). published by John Wiley & Sons Ltd.</rights><rights>2024 The Author(s). Journal of Clinical Periodontology published by John Wiley & Sons Ltd.</rights><rights>2024. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3383-fccc222c505472b6fe43113ac95b780bc0dc4d01fcaad488498d1d38a8dfc4133</cites><orcidid>0000-0003-0713-2041 ; 0000-0002-6549-7738 ; 0000-0001-7615-3079 ; 0000-0002-4186-7714 ; 0000-0002-0916-4672 ; 0000-0002-3317-0853 ; 0000-0001-7937-6673</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39730307$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Blanco‐Pintos, T.</creatorcontrib><creatorcontrib>Regueira‐Iglesias, A.</creatorcontrib><creatorcontrib>Relvas, M.</creatorcontrib><creatorcontrib>Alonso‐Sampedro, M.</creatorcontrib><creatorcontrib>Bravo, S. B.</creatorcontrib><creatorcontrib>Balsa‐Castro, C.</creatorcontrib><creatorcontrib>Tomás, I.</creatorcontrib><title>Diagnostic Accuracy of Novel Protein Biomarkers in Saliva to Detect Periodontitis Using Untargeted ‘SWATH’ Mass Spectrometry</title><title>Journal of clinical periodontology</title><addtitle>J Clin Periodontol</addtitle><description>ABSTRACT
Aim
To discover new salivary biomarkers to diagnose periodontitis and evaluate the impact of age and smoking on predictive capacity.
Material and Methods
Saliva samples were collected from 44 healthy periodontal individuals and 41 with periodontitis. Samples were analysed by sequential window acquisition of all theoretical mass spectra (SWATH‐MS), and proteins were identified by employing the UniProt database. The diagnostic capacity of the molecules was determined with generalized additive models. The models obtained were single‐protein unadjusted and adjusted for age and smoking status, besides two‐protein combinations.
Results
Eight single salivary proteins had a bias‐corrected accuracy (bc‐ACC) of 78.8%–86.8% (bc‐sensitivity/bc‐specificity of 62.5%–86.9%/60.9%–98.1%) to diagnose periodontitis. Predictive capacity increased more by adjusting for age (bc‐ACC: 94.1%–98.2%; bc‐sensitivity/bc‐specificity: 90.2%–98.6%/93.6%–97.2%) than smoking (bc‐ACC: 83.9%–90.4%; bc‐sensitivity/bc‐specificity: 73.6%–89.9%/76.2%–96.4%). These proteins were keratin, type II cytoskeletal 1, protein S100‐A8, β‐2‐microglobulin, neutrophil defensin 1, lysozyme C, ubiquitin‐60S ribosomal protein L40, isoform 2 of tropomyosin α‐3 chain and resistin. Two dual combinations showed bc‐sensitivity/bc‐specificity of > 90%: β‐2‐microglobulin with profilin‐1, and lysozyme C with zymogen granule protein 16 homologue B.
Conclusions
New salivary biomarkers show good or excellent ability to diagnose periodontitis. Age has a more significant influence on the accuracy of the single biomarkers than smoking, with results comparable to two‐protein combinations.</description><subject>Accuracy</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Biomarkers</subject><subject>Biomarkers - analysis</subject><subject>Case-Control Studies</subject><subject>Cytoskeleton</subject><subject>Defensins</subject><subject>Diagnosis, Epidemiology and Associated Co‐morbidities</subject><subject>diagnostic accuracy</subject><subject>Female</subject><subject>Gum disease</subject><subject>Humans</subject><subject>Keratin</subject><subject>Leukocytes (neutrophilic)</subject><subject>Lysozyme</subject><subject>Male</subject><subject>Mass Spectrometry - methods</subject><subject>Mass spectroscopy</subject><subject>Middle Aged</subject><subject>molecular biomarkers</subject><subject>Molecular modelling</subject><subject>Muramidase - analysis</subject><subject>Original</subject><subject>Periodontitis</subject><subject>Periodontitis - diagnosis</subject><subject>Periodontitis - metabolism</subject><subject>Proenzymes</subject><subject>Profilin</subject><subject>Proteins</subject><subject>proteomics</subject><subject>Saliva</subject><subject>Saliva - chemistry</subject><subject>Salivary Proteins and Peptides - analysis</subject><subject>Sensitivity and Specificity</subject><subject>Smoking</subject><subject>SWATH‐MS</subject><subject>Tropomyosin</subject><subject>Ubiquitin</subject><issn>0303-6979</issn><issn>1600-051X</issn><issn>1600-051X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp9kUFuEzEUhi0EoqGw4QDIEhuENOW9sSeeWaGQFgoqECmNYGc5Hk9wmIyD7QnKrr1F2XEWjtKT4JJSAQu8saz_86f39BPyEOEA03m21GtzgByB3SIDHAJkUODH22QADFg2rES1R-6FsARAwRi7S_ZYJVIEYkDOD61adC5Eq-lI694rvaWuoe_cxrR04l00tqMvrFsp_9n4QNNrqlq7UTQ6emii0ZFOjLeudl200QY6C7Zb0FkXlV-kvKaXZxfTD6PT48uzbz--v1Uh0Ok6ffNuZaLf3id3GtUG8-D63iezl0en4-Ps5P2r1-PRSaYZK1nWaK3zPNcFFFzk82FjOENkSlfFXJQw11BrXgM2WqmalyWvyhprVqqybjRHxvbJ85133c9Xptami161cu1tWm0rnbLy76Szn-TCbSSi4AywTIYn1wbvvvQmRLmyQZu2VZ1xfZAMeSUKwSFP6ON_0KXrfZf2S1QhgAMORaKe7ijtXQjeNDfTIMirauVVtfJXtQl-9Of8N-jvLhOAO-Crbc32Pyr5Zjw52kl_Aov7s0c</recordid><startdate>202502</startdate><enddate>202502</enddate><creator>Blanco‐Pintos, T.</creator><creator>Regueira‐Iglesias, A.</creator><creator>Relvas, M.</creator><creator>Alonso‐Sampedro, M.</creator><creator>Bravo, S. B.</creator><creator>Balsa‐Castro, C.</creator><creator>Tomás, I.</creator><general>Blackwell Publishing Ltd</general><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0713-2041</orcidid><orcidid>https://orcid.org/0000-0002-6549-7738</orcidid><orcidid>https://orcid.org/0000-0001-7615-3079</orcidid><orcidid>https://orcid.org/0000-0002-4186-7714</orcidid><orcidid>https://orcid.org/0000-0002-0916-4672</orcidid><orcidid>https://orcid.org/0000-0002-3317-0853</orcidid><orcidid>https://orcid.org/0000-0001-7937-6673</orcidid></search><sort><creationdate>202502</creationdate><title>Diagnostic Accuracy of Novel Protein Biomarkers in Saliva to Detect Periodontitis Using Untargeted ‘SWATH’ Mass Spectrometry</title><author>Blanco‐Pintos, T. ; Regueira‐Iglesias, A. ; Relvas, M. ; Alonso‐Sampedro, M. ; Bravo, S. B. ; Balsa‐Castro, C. ; Tomás, I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3383-fccc222c505472b6fe43113ac95b780bc0dc4d01fcaad488498d1d38a8dfc4133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Accuracy</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Biomarkers</topic><topic>Biomarkers - analysis</topic><topic>Case-Control Studies</topic><topic>Cytoskeleton</topic><topic>Defensins</topic><topic>Diagnosis, Epidemiology and Associated Co‐morbidities</topic><topic>diagnostic accuracy</topic><topic>Female</topic><topic>Gum disease</topic><topic>Humans</topic><topic>Keratin</topic><topic>Leukocytes (neutrophilic)</topic><topic>Lysozyme</topic><topic>Male</topic><topic>Mass Spectrometry - methods</topic><topic>Mass spectroscopy</topic><topic>Middle Aged</topic><topic>molecular biomarkers</topic><topic>Molecular modelling</topic><topic>Muramidase - analysis</topic><topic>Original</topic><topic>Periodontitis</topic><topic>Periodontitis - diagnosis</topic><topic>Periodontitis - metabolism</topic><topic>Proenzymes</topic><topic>Profilin</topic><topic>Proteins</topic><topic>proteomics</topic><topic>Saliva</topic><topic>Saliva - chemistry</topic><topic>Salivary Proteins and Peptides - analysis</topic><topic>Sensitivity and Specificity</topic><topic>Smoking</topic><topic>SWATH‐MS</topic><topic>Tropomyosin</topic><topic>Ubiquitin</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Blanco‐Pintos, T.</creatorcontrib><creatorcontrib>Regueira‐Iglesias, A.</creatorcontrib><creatorcontrib>Relvas, M.</creatorcontrib><creatorcontrib>Alonso‐Sampedro, M.</creatorcontrib><creatorcontrib>Bravo, S. B.</creatorcontrib><creatorcontrib>Balsa‐Castro, C.</creatorcontrib><creatorcontrib>Tomás, I.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical periodontology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Blanco‐Pintos, T.</au><au>Regueira‐Iglesias, A.</au><au>Relvas, M.</au><au>Alonso‐Sampedro, M.</au><au>Bravo, S. B.</au><au>Balsa‐Castro, C.</au><au>Tomás, I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic Accuracy of Novel Protein Biomarkers in Saliva to Detect Periodontitis Using Untargeted ‘SWATH’ Mass Spectrometry</atitle><jtitle>Journal of clinical periodontology</jtitle><addtitle>J Clin Periodontol</addtitle><date>2025-02</date><risdate>2025</risdate><volume>52</volume><issue>2</issue><spage>199</spage><epage>214</epage><pages>199-214</pages><issn>0303-6979</issn><issn>1600-051X</issn><eissn>1600-051X</eissn><abstract>ABSTRACT
Aim
To discover new salivary biomarkers to diagnose periodontitis and evaluate the impact of age and smoking on predictive capacity.
Material and Methods
Saliva samples were collected from 44 healthy periodontal individuals and 41 with periodontitis. Samples were analysed by sequential window acquisition of all theoretical mass spectra (SWATH‐MS), and proteins were identified by employing the UniProt database. The diagnostic capacity of the molecules was determined with generalized additive models. The models obtained were single‐protein unadjusted and adjusted for age and smoking status, besides two‐protein combinations.
Results
Eight single salivary proteins had a bias‐corrected accuracy (bc‐ACC) of 78.8%–86.8% (bc‐sensitivity/bc‐specificity of 62.5%–86.9%/60.9%–98.1%) to diagnose periodontitis. Predictive capacity increased more by adjusting for age (bc‐ACC: 94.1%–98.2%; bc‐sensitivity/bc‐specificity: 90.2%–98.6%/93.6%–97.2%) than smoking (bc‐ACC: 83.9%–90.4%; bc‐sensitivity/bc‐specificity: 73.6%–89.9%/76.2%–96.4%). These proteins were keratin, type II cytoskeletal 1, protein S100‐A8, β‐2‐microglobulin, neutrophil defensin 1, lysozyme C, ubiquitin‐60S ribosomal protein L40, isoform 2 of tropomyosin α‐3 chain and resistin. Two dual combinations showed bc‐sensitivity/bc‐specificity of > 90%: β‐2‐microglobulin with profilin‐1, and lysozyme C with zymogen granule protein 16 homologue B.
Conclusions
New salivary biomarkers show good or excellent ability to diagnose periodontitis. Age has a more significant influence on the accuracy of the single biomarkers than smoking, with results comparable to two‐protein combinations.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>39730307</pmid><doi>10.1111/jcpe.14103</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-0713-2041</orcidid><orcidid>https://orcid.org/0000-0002-6549-7738</orcidid><orcidid>https://orcid.org/0000-0001-7615-3079</orcidid><orcidid>https://orcid.org/0000-0002-4186-7714</orcidid><orcidid>https://orcid.org/0000-0002-0916-4672</orcidid><orcidid>https://orcid.org/0000-0002-3317-0853</orcidid><orcidid>https://orcid.org/0000-0001-7937-6673</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Adult Age Factors Aged Biomarkers Biomarkers - analysis Case-Control Studies Cytoskeleton Defensins Diagnosis, Epidemiology and Associated Co‐morbidities diagnostic accuracy Female Gum disease Humans Keratin Leukocytes (neutrophilic) Lysozyme Male Mass Spectrometry - methods Mass spectroscopy Middle Aged molecular biomarkers Molecular modelling Muramidase - analysis Original Periodontitis Periodontitis - diagnosis Periodontitis - metabolism Proenzymes Profilin Proteins proteomics Saliva Saliva - chemistry Salivary Proteins and Peptides - analysis Sensitivity and Specificity Smoking SWATH‐MS Tropomyosin Ubiquitin |
title | Diagnostic Accuracy of Novel Protein Biomarkers in Saliva to Detect Periodontitis Using Untargeted ‘SWATH’ Mass Spectrometry |
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