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Alarcón-Sánchez MA, Becerra-Ruiz JS, Avetisyan A, Heboyan A. Activity and levels of TNF-α, IL-6 and IL-8 in saliva of children and young adults with dental caries: a systematic review and meta-analysis. BMC Oral Health 2024; 24:816. [PMID: 39026257 PMCID: PMC11264839 DOI: 10.1186/s12903-024-04560-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Accepted: 07/03/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND Cytokines play an important role in the immunopathogenesis of dental caries. A systematic review and meta-analysis was carried out with the following three objectives: 1)To deepen and discuss through a comprehensive analysis of the literature the effects of dental caries on the activity and levels of TNF-α, IL-6 and IL-8 in saliva of children and young adults, 2)To compare the levels of this cytokines in saliva of the exposure group (moderate-severe dental caries) with the control group (caries-free or mild dental caries), and 3)To determine whether the levels of these cytokines could be used as a complementary clinical diagnostic tool to assess the severity of dental caries. METHODS The protocol followed PRISMA and Cochrane guidelines and was registered in the Open Science Framework (OSF): https://doi.org/10.17605/OSF.IO/MF74V . A digital search was performed in PubMed/MEDLINE, Cochrane, Scopus, and Google Schoolar databases from February 15th, 2012, to January 13th, 2024. The methodological validity of the selected studies was assessed using Joanna Briggs Institute (JBI) tool. A meta-analysis was performed using a random-effects model to evaluate the association between dental caries/health, and the concentration of TNF-α, IL-6 and IL-8. RESULTS The search strategy provided a total of 126 articles, of which 15 investigations met the inclusion criteria. The total number of patients studied was 1,148, of which 743 represented the case/exposure group, and 405 represented the control group. The age of the patients ranged from 3 to 25 years. IL-6 was the most prevalent cytokine in the saliva of children and young adults with active dental caries. The meta-analysis revealed that there are significant differences between the levels of IL-6 and TNF-α in saliva of children with active dental caries compared to their control groups. CONCLUSIONS The findings suggest that IL-6 and TNF-α levels may have potential as complementary biomarkers for assessing dental caries severity. However, further research is needed to validate these findings in larger and more diverse populations before clinical application.
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Affiliation(s)
- Mario Alberto Alarcón-Sánchez
- Biomedical Science, Faculty of Chemical-Biological Sciences, Autonomous University of Guerrero, Chilpancingo de los Bravo, Guerrero, 39090, Mexico.
| | - Julieta Sarai Becerra-Ruiz
- Institute of Research of Bioscience, University Center of Los Altos, University of Guadalajara, Tepatitlán de Morelos, Jalisco, 47600, Mexico
| | - Anna Avetisyan
- Department of Therapeutic Stomatology, Faculty of Stomatology, Yerevan State Medical University after Mkhitar Heratsi, Str. Koryun 2, Yerevan, 0025, Armenia
| | - Artak Heboyan
- Department of Research Analytics, Saveetha Institute of Medical and Technical Sciences, Saveetha Dental College and Hospitals, Saveetha University, Chennai, 600 077, India.
- Department of Prosthodontics, Faculty of Stomatology, Yerevan State Medical University after Mkhitar Heratsi, Str. Koryun 2, Yerevan, 0025, Armenia.
- Department of Prosthodontics, School of Dentistry, Tehran University of Medical Sciences, North Karegar St, Tehran, Iran.
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Ahmad P, Escalante-Herrera A, Marin LM, Siqueira WL. Progression from healthy periodontium to gingivitis and periodontitis: Insights from bioinformatics-driven proteomics - A systematic review with meta-analysis. J Periodontal Res 2024. [PMID: 38873831 DOI: 10.1111/jre.13313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 05/23/2024] [Accepted: 05/26/2024] [Indexed: 06/15/2024]
Abstract
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.
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Affiliation(s)
- Paras Ahmad
- College of Dentistry, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | | | - Lina M Marin
- College of Dentistry, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Walter L Siqueira
- College of Dentistry, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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Ye J, Zhang F, Luo Z, Ou X. Comparative salivary proteomics analysis of children with and without early childhood caries using the DIA approach: A pilot study. Proteomics Clin Appl 2024:e2400006. [PMID: 38769866 DOI: 10.1002/prca.202400006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 04/01/2024] [Accepted: 04/17/2024] [Indexed: 05/22/2024]
Abstract
OBJECTIVE To screen differentially expressed proteins (DEPs) in the saliva of Early childhood caries (ECC) with different degrees of severity. METHODS The proteomic profiles of salivary of children with ECC of varying severity by data independent acquisition data independent acquisition (DIA) technique. A total of 12 preschool children aged 3-5 years were included in this study. RESULTS In this study, a total of 15,083 peptides and 1944 proteins were quantified; The results of DEPs screening showed that 34 DEPs were identified between the group H and the group LC, including 18 up-regulated proteins and 16 down-regulated proteins; 34 DEPs were screened between the group H and the group HC, including 17 up-regulated proteins and 17 down-regulated proteins; 42 DEPs were screened between the group LC and the group HC, including 18 up-regulated proteins and 24 down-regulated proteins. Among these DEPs, we screened several key proteins that may play a role in ECC, such as MK, histone H4, TGFβ3, ZG16B, MUC20, and SMR-3B. CONCLUSION Salivary proteins, as important host factors of caries, are differentially expressed between the saliva of ECC children and healthy children. Specific DEPs are expected to become potential biomarkers for the diagnosis of ECC.
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Affiliation(s)
- Jinxiang Ye
- The Affiliated Stomatological Hospital, Jiangxi Medical College, Nanchang University & Jiangxi Province Key Laboratory of Oral Biomedicine & Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, Jiangxi, China
| | - Fangfang Zhang
- The Affiliated Stomatological Hospital, Jiangxi Medical College, Nanchang University & Jiangxi Province Key Laboratory of Oral Biomedicine & Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, Jiangxi, China
| | - Zhouyuan Luo
- The Affiliated Stomatological Hospital, Jiangxi Medical College, Nanchang University & Jiangxi Province Key Laboratory of Oral Biomedicine & Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, Jiangxi, China
| | - Xiaoyan Ou
- The Affiliated Stomatological Hospital, Jiangxi Medical College, Nanchang University & Jiangxi Province Key Laboratory of Oral Biomedicine & Jiangxi Province Clinical Research Center for Oral Diseases, Nanchang, Jiangxi, China
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Halstenbach T, Topitsch A, Schilling O, Iglhaut G, Nelson K, Fretwurst T. Mass spectrometry-based proteomic applications in dental implants research. Proteomics Clin Appl 2024; 18:e2300019. [PMID: 38342588 DOI: 10.1002/prca.202300019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 02/13/2024]
Abstract
Dental implants have been established as successful treatment options for missing teeth with steadily increasing demands. Today, the primary areas of research in dental implantology revolve around osseointegration, soft and hard tissue grafting as well as peri-implantitis diagnostics, prevention, and treatment. This review provides a comprehensive overview of the current literature on the application of MS-based proteomics in dental implant research, highlights how explorative proteomics provided insights into the biology of peri-implant soft and hard tissues and how proteomics facilitated the stratification between healthy and diseased implants, enabling the identification of potential new diagnostic markers. Additionally, this review illuminates technical aspects, and provides recommendations for future study designs based on the current evidence.
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Affiliation(s)
- Tim Halstenbach
- Department of Oral- and Craniomaxillofacial Surgery/Translational Implantology, Division of Regenerative Oral Medicine, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Annika Topitsch
- Department of Oral- and Craniomaxillofacial Surgery/Translational Implantology, Division of Regenerative Oral Medicine, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
- Institute of Surgical Pathology, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
- Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg, Germany
- Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Oliver Schilling
- Institute of Surgical Pathology, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
| | - Gerhard Iglhaut
- Department of Oral- and Craniomaxillofacial Surgery/Translational Implantology, Division of Regenerative Oral Medicine, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Katja Nelson
- Department of Oral- and Craniomaxillofacial Surgery/Translational Implantology, Division of Regenerative Oral Medicine, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Tobias Fretwurst
- Department of Oral- and Craniomaxillofacial Surgery/Translational Implantology, Division of Regenerative Oral Medicine, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
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Ahmad P, Siqueira WL. Mass spectrometry-based proteomics profiling of dogs with and without oral diseases: a systematic review. BMC Oral Health 2024; 24:369. [PMID: 38519930 PMCID: PMC10958906 DOI: 10.1186/s12903-024-04096-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 03/04/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Understanding the distinct proteomics profiles in dogs' oral biofluids enhances diagnostic and therapeutic insights for canine oral diseases, fostering cross-species translational research in dentistry and medicine. This study aimed to conduct a systematic review to investigate the similarities and differences between the oral biofluids' proteomics profile of dogs with and without oral diseases. METHODS PubMed, Web of Science, and Scopus were searched with no restrictions on publication language or year to address the following focused question: "What is the proteome signature of healthy versus diseased (oral) dogs' biofluids?" Gene Ontology enrichment and the Kyoto Encyclopedia of Genes and Genomes pathway analyses of the most abundant proteins were performed. Moreover, protein-protein interaction analysis was conducted. The risk of bias (RoB) among the included studies was assessed using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Studies Reporting Prevalence Data. RESULTS In healthy dogs, the proteomic analysis identified 5,451 proteins, with 137 being the most abundant, predominantly associated with 'innate immune response'. Dogs with oral diseases displayed 6,470 proteins, with distinct associations: 'defense response to bacterium' (periodontal diseases), 'negative regulation of transcription' (dental calculus), and 'positive regulation of transcription' (oral tumors). Clustering revealed significant protein clusters in each case, emphasizing the diverse molecular profiles in health and oral diseases. Only six studies were provided to the JBI tool, as they encompassed case-control evaluations that compared healthy dogs to dogs with oral disease(s). All included studies were found to have low RoB (high quality). CONCLUSION Significant differences in the proteomics profiles of oral biofluids between dogs with and without oral diseases were found. The synergy of animal proteomics and bioinformatics offers a promising avenue for cross-species research, despite persistent challenges in result validation.
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Affiliation(s)
- Paras Ahmad
- College of Dentistry, University of Saskatchewan, 105 Wiggins Road, Saskatoon, SK, S7N 5E5, Canada
| | - Walter L Siqueira
- College of Dentistry, University of Saskatchewan, 105 Wiggins Road, Saskatoon, SK, S7N 5E5, Canada.
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Ahmad P, Marin LM, Lowe C, Katselis GS, Siqueira WL. Salivary protein homology between humans and dogs: Mass spectrometry-based proteomics analysis. J Dent 2024; 142:104855. [PMID: 38246308 DOI: 10.1016/j.jdent.2024.104855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 01/16/2024] [Accepted: 01/18/2024] [Indexed: 01/23/2024] Open
Abstract
OBJECTIVE This benchmark study aimed to investigate sex-related differences based on the identification and characterization of the salivary proteome of healthy male and female dogs using mass spectrometry (MS) technique and a homology-driven approach to analyze salivary proteins in both human and dog species utilizing protein sequence alignment technique. METHODS Unstimulated whole saliva was collected from 10 healthy Beagles. After processing the samples and determining the total protein content, in-solution protein digestion was performed involving denaturation, reduction of disulfide bonds, alkylation, and removal of interfering compounds. Samples were analyzed using LC-ESI-MS/MS. RESULTS LC-ESI-MS/MS analysis identified 327 and 341 unique proteins in male and female dog saliva, respectively, of which 318 (97.25 %) in male dogs and 326 (95.60 %) in female dogs were characterized. Abundant shared proteins included albumin, BPI fold-containing family A member 2, and VWFD domain-containing protein. A notable uncharacterized protein, VWFD domain-containing protein, was among the most abundant in both sexes. Comparative analysis of 69 abundant shared proteins indicated an upregulation of CES5A, EFHD, GC, IGHM, LOC100653049, KRT10, LCP1, PGD, TPI1 in male dogs, while LOC100855593 was upregulated in female dogs. In total, 84 % (n = 229/274) and 86 % (n = 235/275) salivary proteins identified in male and female dogs, respectively, were homologous to human proteins, with an overall homology of 86 % (n = 364/423), including 15 with 100 % homology. CONCLUSION The study revealed clear differences in the salivary proteomics profile of healthy male and female dogs. However, most of the salivary proteins in both male and female dogs showed homology with human salivary proteins. CLINICAL RELEVANCE The identification of unique salivary proteome profiles in male and female dogs, coupled with substantial homology to human proteins, provides promising biomarkers for health assessment, highlighting its clinical significance for diagnostics and therapeutic exploration not only in veterinary and human dentistry, but across mammalian species.
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Affiliation(s)
- Paras Ahmad
- College of Dentistry, University of Saskatchewan, Saskatoon, Saskatchewan S7N E5E, Canada
| | - Lina M Marin
- College of Dentistry, University of Saskatchewan, Saskatoon, Saskatchewan S7N E5E, Canada
| | - Candace Lowe
- Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - George S Katselis
- Department of Medicine, Canadian Centre for Rural and Agricultural Health, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan S7N 2Z4, Canada
| | - Walter L Siqueira
- College of Dentistry, University of Saskatchewan, Saskatoon, Saskatchewan S7N E5E, Canada.
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Hu H, Leung WK. Mass Spectrometry-Based Proteomics for Discovering Salivary Biomarkers in Periodontitis: A Systematic Review. Int J Mol Sci 2023; 24:14599. [PMID: 37834046 PMCID: PMC10572407 DOI: 10.3390/ijms241914599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/07/2023] [Accepted: 09/08/2023] [Indexed: 10/15/2023] Open
Abstract
Periodontitis is one of the primary causes of tooth loss, and is also related to various systemic diseases. Early detection of this condition is crucial when it comes to preventing further oral damage and the associated health complications. This study offers a systematic review of the literature published up to April 2023, and aims to clearly explain the role of proteomics in identifying salivary biomarkers for periodontitis. Comprehensive searches were conducted on PubMed and Web of Science to shortlist pertinent studies. The inclusion criterion was those that reported on mass spectrometry-driven proteomic analyses of saliva samples from periodontitis cohorts, while those on gingivitis or other oral diseases were excluded. An assessment for risk of bias was carried out using the Newcastle-Ottawa Scale and Quality Assessment of Diagnostic Accuracy Studies or the NIH quality assessment tool, and a meta-analysis was performed for replicable candidate biomarkers, i.e., consistently reported candidate biomarkers (in specific saliva samples, and periodontitis subgroups, reported in ≥2 independent cohorts/reports) were identified. A Gene Ontology enrichment analysis was conducted using the Database for Annotation, Visualization, and Integrated Discovery bioinformatics resources, which consistently expressed candidate biomarkers, to explore the predominant pathway wherein salivary biomarkers consistently manifested. Of the 15 studies included, 13 were case-control studies targeting diagnostic biomarkers for periodontitis participants (periodontally healthy/diseased, n = 342/432), while two focused on biomarkers responsive to periodontal treatment (n = 26 participants). The case-control studies were considered to have a low risk of bias, while the periodontitis treatment studies were deemed fair. Summary estimate and confidence/credible interval, etc. determination for the identified putative salivary biomarkers could not be ascertained due to the low number of studies in each case. The results from the included case-control studies identified nine consistently expressed candidate biomarkers (from nine studies with 230/297 periodontally healthy/diseased participants): (i) those that were upregulated: alpha-amylase, serum albumin, complement C3, neutrophil defensin, profilin-1, and S100-P; and (ii) those that were downregulated: carbonic anhydrase 6, immunoglobulin J chain, and lactoferrin. All putative biomarkers exhibited consistent regulation patterns. The implications of the current putative marker proteins identified were reviewed, with a focus on their potential roles in periodontitis diagnosis and pathogenesis, and as putative therapeutic targets. Although in its early stages, mass spectrometry-based salivary periodontal disease biomarker proteomics detection appeared promising. More mass spectrometry-based proteomics studies, with or without the aid of already available clinical biochemical approaches, are warranted to aid the discovery, identification, and validation of periodontal health/disease indicator molecule(s). Protocol registration number: CRD42023447722; supported by RD-02-202410 and GRF17119917.
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Affiliation(s)
- Hongying Hu
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral Medical Imaging, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China;
| | - Wai Keung Leung
- Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
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