Diagnostic Accuracy of Novel Protein Biomarkers in Saliva to Detect Periodontitis Using Untargeted ‘SWATH’ Mass Spectrometry DOI Creative Commons
Triana Blanco‐Pintos, Alba Regueira‐Iglesias, Marta Relvas

et al.

Journal Of Clinical Periodontology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 27, 2024

ABSTRACT Aim To discover new salivary biomarkers to diagnose periodontitis and evaluate the impact of age smoking on predictive capacity. Material Methods Saliva samples were collected from 44 healthy periodontal individuals 41 with periodontitis. Samples analysed by sequential window acquisition all theoretical mass spectra (SWATH‐MS), proteins identified employing UniProt database. The diagnostic capacity molecules was determined generalized additive models. models obtained single‐protein unadjusted adjusted for status, besides two‐protein combinations. Results Eight single had a bias‐corrected accuracy (bc‐ACC) 78.8%–86.8% (bc‐sensitivity/bc‐specificity 62.5%–86.9%/60.9%–98.1%) Predictive increased more adjusting (bc‐ACC: 94.1%–98.2%; bc‐sensitivity/bc‐specificity: 90.2%–98.6%/93.6%–97.2%) than 83.9%–90.4%; 73.6%–89.9%/76.2%–96.4%). These keratin, type II cytoskeletal 1, protein S100‐A8, β‐2‐microglobulin, neutrophil defensin lysozyme C, ubiquitin‐60S ribosomal L40, isoform 2 tropomyosin α‐3 chain resistin. Two dual combinations showed bc‐sensitivity/bc‐specificity > 90%: β‐2‐microglobulin profilin‐1, C zymogen granule 16 homologue B. Conclusions New show good or excellent ability Age has significant influence smoking, results comparable

Language: Английский

Microbiological and Metabolomic Analysis of Biomarkers for Grades A and B in Stage II Periodontitis DOI Creative Commons
Wenjie Dai, Yuhan Ye, Bingyong Mao

et al.

Inflammation, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Periodontitis is a chronic inflammatory disease characterized by inflammation of the periodontal soft tissues and loss alveolar bone. In oral environment, subgingival microorganisms salivary metabolites reflect host's health status. This study aimed to understand periodontitis severity progression rate analyzing microflora identify potential biomarkers. Fifty-three volunteers with stage II were graded using bone (%)/age index into two grades: 33 in grade A (< 0.25) 20 B (0.25–1.00). Using case–control study, simultaneously analyzed biomarkers associated periodontitis. The red complex, orange Campylobacter spp., uncultured Candidatus Saccharibacteria such as 5-Aminovaleric acid, N1-Acetylspermine showed significant positive correlation clinical parameters. Furthermore, we identified four differential (DL-Leucineamide, Dodecanedioic L-Tyrosine methyl ester Phenylpyruvic acid) that may serve for predicting progression. These results complex significantly correlated influenced changes metabolites. Additionally, indicating predominantly amino acid derivatives, confirming interactions between exacerbate development.

Language: Английский

Citations

0
Evaluation of annexin A1, carbonic anhydrase 1, and elongation factor 1-gamma levels in periodontal diseases DOI Creative Commons

Bilge Cansu Uzun Saylan,

Büşra Yılmaz, Veli Özgen Öztürk

et al.

BMC Oral Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: May 2, 2025

Periodontitis arises from dysbiotic subgingival microbiota and an unresolved inflammatory response. Annexin A1 (ANXA1), Carbonic Anhydrase I (CA1), Elongation Factor 1-gamma (EF1-Ɣ) may play a role in periodontal inflammation disease pathogenesis. This study aimed to investigate the levels of these molecules gingival crevicular fluid (GCF) individuals with different conditions. GCF samples were collected 20 patients Stage III Grade B periodontitis, C 19 gingivitis patients, 21 periodontally healthy individuals. ANXA1, CA1, EF1-Ɣ measured using ELISA. Clinical parameters significantly higher periodontitis groups compared (p < 0.001). total amount differed among groups, control Elevated found III/B III/C ANXA1 CA1 similar across > 0.05). Within limitations this study, it might be suggested that decreased diseased sites its elevated are associated pathogenesis disease.

Language: Английский

Citations

0
Characterisation of the periodontal proteome in gingival crevicular fluid and saliva using SWATH-MS DOI Creative Commons
Triana Blanco‐Pintos, Alba Regueira‐Iglesias,

Berta Suárez-Rodríguez

et al.

Frontiers in Cellular and Infection Microbiology, Journal Year: 2025, Volume and Issue: 15

Published: May 2, 2025

Introduction Proteomic techniques are useful to analyse the periodontal proteome in gingival crevicular fluid (GCF) and saliva. However, few investigations have assessed compared GCF salivary proteomes. Therefore, this research aims structure compare protein expression these fluids between individuals with health those periodontitis. Methods saliva were collected from 44 periodontally healthy subjects 41 periodontitis (stages III-IV). Samples analysed using sequential window acquisition of all theoretical mass spectra (SWATH-MS), proteins identified employing UniProt database. The was principal component analysis (PCA). Differential defined as an adjusted p-value &lt;0.05 combined a fold-change ≥2 (upregulated) or ≤0.5 (downregulated). Results 250 abundant quantified 377 (238 common). different both oral fluids. In GCF, 63 (25.2%) differentially expressed, 38 upregulated 25 downregulated most overexpressed haemoglobin subunits (Hbs) beta (fold-change 5.06) alpha (4.35), carbonic anhydrase 1 (4.28), S100-P (4.27). Among underexpressed proteins, 14 keratins, type II cytoskeletal 6B being (0.10), together glyceraldehyde-3-phosphate dehydrogenase (0.12) zymogen granule 16 homolog B (0.13). saliva, 59 (15.7%) 55 four Twenty-nine showed ≥4, highlighting beta-2-microglobulin (44.14), keratin, I 13 (36.23), neutrophil defensin (25.08), S100-A9 (12.30), A8 (10.61), A12 (4.76), P (4.72), annexin A1 (9.34), lysozyme C (4.98), immunoglobulin heavy constant (4.45), resistin (4.37), Hbs (4.20) (4.06). lipocalin-1 (0.35). Fourteen expressed where seven keratins but Conclusion Periodontitis alters numerous vary qualitatively quantitatively, indicating patterns

Language: Английский

Citations

0
Diagnostic Accuracy of Novel Protein Biomarkers in Saliva to Detect Periodontitis Using Untargeted ‘SWATH’ Mass Spectrometry DOI Creative Commons
Triana Blanco‐Pintos, Alba Regueira‐Iglesias, Marta Relvas

et al.

Journal Of Clinical Periodontology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 27, 2024

ABSTRACT Aim To discover new salivary biomarkers to diagnose periodontitis and evaluate the impact of age smoking on predictive capacity. Material Methods Saliva samples were collected from 44 healthy periodontal individuals 41 with periodontitis. Samples analysed by sequential window acquisition all theoretical mass spectra (SWATH‐MS), proteins identified employing UniProt database. The diagnostic capacity molecules was determined generalized additive models. models obtained single‐protein unadjusted adjusted for status, besides two‐protein combinations. Results Eight single had a bias‐corrected accuracy (bc‐ACC) 78.8%–86.8% (bc‐sensitivity/bc‐specificity 62.5%–86.9%/60.9%–98.1%) Predictive increased more adjusting (bc‐ACC: 94.1%–98.2%; bc‐sensitivity/bc‐specificity: 90.2%–98.6%/93.6%–97.2%) than 83.9%–90.4%; 73.6%–89.9%/76.2%–96.4%). These keratin, type II cytoskeletal 1, protein S100‐A8, β‐2‐microglobulin, neutrophil defensin lysozyme C, ubiquitin‐60S ribosomal L40, isoform 2 tropomyosin α‐3 chain resistin. Two dual combinations showed bc‐sensitivity/bc‐specificity > 90%: β‐2‐microglobulin profilin‐1, C zymogen granule 16 homologue B. Conclusions New show good or excellent ability Age has significant influence smoking, results comparable

Language: Английский

Citations

1