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Blanco-Pintos T, Regueira-Iglesias A, Relvas M, Alonso-Sampedro M, Chantada-Vázquez MP, Balsa-Castro C, Tomás I. Using SWATH-MS to identify new molecular biomarkers in gingival crevicular fluid for detecting periodontitis and its response to treatment. J Clin Periodontol 2024. [PMID: 38987231 DOI: 10.1111/jcpe.14037] [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: 01/10/2024] [Revised: 05/12/2024] [Accepted: 06/10/2024] [Indexed: 07/12/2024]
Abstract
AIM To identify new biomarkers to detect untreated and treated periodontitis in gingival crevicular fluid (GCF) using sequential window acquisition of all theoretical mass spectra (SWATH-MS). MATERIALS AND METHODS GCF samples were collected from 44 periodontally healthy subjects and 40 with periodontitis (Stages III-IV). In the latter, 25 improved clinically 2 months after treatment. Samples were analysed using SWATH-MS, and proteins were identified by the UniProt human-specific database. The diagnostic capability of the proteins was determined with generalized additive models to distinguish the three clinical conditions. RESULTS In the untreated periodontitis vs. periodontal health modelling, five proteins showed excellent or good bias-corrected (bc)-sensitivity/bc-specificity values of >80%. These were GAPDH, ZG16B, carbonic anhydrase 1, plasma protease inhibitor C1 and haemoglobin subunit beta. GAPDH with MMP-9, MMP-8, zinc-α-2-glycoprotein and neutrophil gelatinase-associated lipocalin and ZG16B with cornulin provided increased bc-sensitivity/bc-specificity of >95%. For distinguishing treated periodontitis vs. periodontal health, most of these proteins and their combinations revealed a predictive ability similar to previous modelling. No model obtained relevant results to differentiate between periodontitis conditions. CONCLUSIONS New single and dual GCF protein biomarkers showed outstanding results in discriminating untreated and treated periodontitis from periodontal health. Periodontitis conditions were indistinguishable. Future research must validate these findings.
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Affiliation(s)
- T Blanco-Pintos
- Oral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-Surgical Specialties, School of Medicine and Dentistry, Universidade de Santiago de Compostela, Health Research Institute of Santiago (IDIS), Santiago de Compostela, Spain
| | - A Regueira-Iglesias
- Oral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-Surgical Specialties, School of Medicine and Dentistry, Universidade de Santiago de Compostela, Health Research Institute of Santiago (IDIS), Santiago de Compostela, Spain
| | - M Relvas
- Oral Pathology and Rehabilitation Research Unit (UNIPRO), University Institute of Health Sciences (IUCS-CESPU), Gandra, Portugal
| | - M Alonso-Sampedro
- Department of Internal Medicine and Clinical Epidemiology, Complejo Hospitalario Universitario, Health Research Institute of Santiago (IDIS), Santiago de Compostela, Spain
| | - M P Chantada-Vázquez
- Proteomic Unit, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - C Balsa-Castro
- Oral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-Surgical Specialties, School of Medicine and Dentistry, Universidade de Santiago de Compostela, Health Research Institute of Santiago (IDIS), Santiago de Compostela, Spain
| | - I Tomás
- Oral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-Surgical Specialties, School of Medicine and Dentistry, Universidade de Santiago de Compostela, Health Research Institute of Santiago (IDIS), Santiago de Compostela, Spain
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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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3
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Hosseini A, Ashraf H, Rahimi F, Alipourfard I, Alivirdiloo V, Hashemi B, Yazdani Y, Ghazi F, Eslami M, Ameri Shah Reza M, Dadashpour M. Recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: A narrative review. Cancer Cell Int 2023; 23:98. [PMID: 37210528 DOI: 10.1186/s12935-023-02947-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/16/2023] [Indexed: 05/22/2023] Open
Abstract
Glioblastoma (GBM) is an aggressive type of cancer that originates in the cells called astrocytes, which support the functioning of nerve cells. It can develop in either the brain or the spinal cord and is also known as glioblastoma multiform. GBM is a highly aggressive cancer that can occur in either the brain or spinal cord. The detection of GBM in biofluids offers potential advantages over current methods for diagnosing and treatment monitoring of glial tumors. Biofluid-based detection of GBM focuses on identifying tumor-specific biomarkers in blood and cerebrospinal fluid. To date, different methods have been used to detect biomarkers of GBM, ranging from various imaging techniques to molecular approaches. Each method has its own strengths and weaknesses. The present review aims to scrutinize multiple diagnostic methods for GBM, with a focus on proteomics methods and biosensors. In other words, this study aims to provide an overview of the most significant research findings based on proteomics and biosensors for the diagnosis of GBM.
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Affiliation(s)
| | - Hami Ashraf
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Rahimi
- Division of Clinical Laboratory, Zahra Mardani Azari Children Training, Research and Treatment Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Iraj Alipourfard
- Institute of Physical Chemistry, Polish Academy of Science, Warsaw, Poland
| | - Vahid Alivirdiloo
- Medical Doctor Ramsar Campus, Mazandaran University of Medical Sciences, Ramsar, Iran
| | - Behnam Hashemi
- Department of Bacteriology, Faculty of Medical Science, Tarbiat Modares University, Tehran, Iran
| | - Yalda Yazdani
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Farhood Ghazi
- Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Majid Eslami
- Department of Medical Bacteriology and Virology, Semnan University of Medical Sciences, Semnan, Iran
| | | | - Mehdi Dadashpour
- Department of Medical Biotechnology, Semnan University of Medical Sciences, Semnan, Iran.
- Student Research Committee, Semnan University of Medical Sciences, Semnan, Iran.
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4
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Chen L, Qin D, Guo X, Wang Q, Li J. Putting Proteomics Into Immunotherapy for Glioblastoma. Front Immunol 2021; 12:593255. [PMID: 33708196 PMCID: PMC7940695 DOI: 10.3389/fimmu.2021.593255] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 01/25/2021] [Indexed: 12/11/2022] Open
Abstract
In glioblastoma, the most aggressive brain cancer, a complex microenvironment of heterogeneity and immunosuppression, are considerable hurdles to classify the subtypes and promote treatment progression. Treatments for glioblastoma are similar to standard therapies for many other cancers and do not effectively prolong the survival of patients, due to the unique location and heterogeneous characteristics of glioblastoma. Immunotherapy has shown a promising effect for many other tumors, but its application for glioma still has some challenges. The recent breakthrough of high-throughput liquid chromatography-mass spectrometry (LC-MS/MS) systems has allowed researchers to update their strategy for identifying and quantifying thousands of proteins in a much shorter time with lesser effort. The protein maps can contribute to generating a complete map of regulatory systems to elucidate tumor mechanisms. In particular, newly developed unicellular proteomics could be used to determine the microenvironment and heterogeneity. In addition, a large scale of differentiated proteins provides more ways to precisely classify tumor subtypes and construct a larger library for biomarkers and biotargets, especially for immunotherapy. A series of advanced proteomic studies have been devoted to the different aspects of immunotherapy for glioma, including monoclonal antibodies, oncolytic viruses, dendritic cell (DC) vaccines, and chimeric antigen receptor (CAR) T cells. Thus, the application of proteomics in immunotherapy may accelerate research on the treatment of glioblastoma. In this review, we evaluate the frontline applications of proteomics strategies for immunotherapy in glioblastoma research.
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Affiliation(s)
- Liangyu Chen
- Department of Proteomics, Tianjin Enterprise Key Laboratory of Clinical Multi-omics, Tianjin, China
| | - Di Qin
- Department of Proteomics, Tianjin Enterprise Key Laboratory of Clinical Multi-omics, Tianjin, China
| | - Xinyu Guo
- Department of Proteomics, Tianjin Enterprise Key Laboratory of Clinical Multi-omics, Tianjin, China
| | - Qixue Wang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.,Laboratory of Neuro-Oncology, Tianjin Neurological Institute, Tianjin, China
| | - Jie Li
- Department of Proteomics, Tianjin Enterprise Key Laboratory of Clinical Multi-omics, Tianjin, China
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5
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Martínez M, Postolache TT, García-Bueno B, Leza JC, Figuero E, Lowry CA, Malan-Müller S. The Role of the Oral Microbiota Related to Periodontal Diseases in Anxiety, Mood and Trauma- and Stress-Related Disorders. Front Psychiatry 2021; 12:814177. [PMID: 35153869 PMCID: PMC8833739 DOI: 10.3389/fpsyt.2021.814177] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 12/30/2021] [Indexed: 12/12/2022] Open
Abstract
The prevalence of anxiety, mood and trauma- and stress-related disorders are on the rise; however, efforts to develop new and effective treatment strategies have had limited success. To identify novel therapeutic targets, a comprehensive understanding of the disease etiology is needed, especially in the context of the holobiont, i.e., the superorganism consisting of a human and its microbiotas. Much emphasis has been placed on the role of the gut microbiota in the development, exacerbation, and persistence of psychiatric disorders; however, data for the oral microbiota are limited. The oral cavity houses the second most diverse microbial community in the body, with over 700 bacterial species that colonize the soft and hard tissues. Periodontal diseases encompass a group of infectious and inflammatory diseases that affect the periodontium. Among them, periodontitis is defined as a chronic, multi-bacterial infection that elicits low-grade systemic inflammation via the release of pro-inflammatory cytokines, as well as local invasion and long-distance translocation of periodontal pathogens. Periodontitis can also induce or exacerbate other chronic systemic inflammatory diseases such as atherosclerosis and diabetes and can lead to adverse pregnancy outcomes. Recently, periodontal pathogens have been implicated in the etiology and pathophysiology of neuropsychiatric disorders (such as depression and schizophrenia), especially as dysregulation of the immune system also plays an integral role in the etiology and pathophysiology of these disorders. This review will discuss the role of the oral microbiota associated with periodontal diseases in anxiety, mood and trauma- and stress-related disorders. Epidemiological data of periodontal diseases in individuals with these disorders will be presented, followed by a discussion of the microbiological and immunological links between the oral microbiota and the central nervous system. Pre-clinical and clinical findings on the oral microbiota related to periodontal diseases in anxiety, mood and trauma- and stress-related phenotypes will be reviewed, followed by a discussion on the bi-directionality of the oral-brain axis. Lastly, we will focus on the oral microbiota associated with periodontal diseases as a target for future therapeutic interventions to alleviate symptoms of these debilitating psychiatric disorders.
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Affiliation(s)
- María Martínez
- Etiology and Therapy of Periodontal and Peri-Implant Diseases Research Group, University Complutense Madrid, Madrid, Spain.,Department of Dental Clinical Specialties, Faculty of Dentistry, Universidad Complutense de Madrid, Madrid, Spain
| | - Teodor T Postolache
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States.,Military and Veteran Microbiome: Consortium for Research and Education, Aurora, CO, United States.,Rocky Mountain Mental Illness Research Education and Clinical Center, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO, United States
| | - Borja García-Bueno
- Department of Pharmacology and Toxicology, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain.,Hospital 12 de Octubre Research Institute (Imas12), Neurochemistry Research Institute, Universidad Complutense de Madrid, Madrid, Spain.,Biomedical Network Research Center of Mental Health (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
| | - Juan C Leza
- Department of Pharmacology and Toxicology, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain.,Hospital 12 de Octubre Research Institute (Imas12), Neurochemistry Research Institute, Universidad Complutense de Madrid, Madrid, Spain.,Biomedical Network Research Center of Mental Health (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
| | - Elena Figuero
- Etiology and Therapy of Periodontal and Peri-Implant Diseases Research Group, University Complutense Madrid, Madrid, Spain.,Department of Dental Clinical Specialties, Faculty of Dentistry, Universidad Complutense de Madrid, Madrid, Spain
| | - Christopher A Lowry
- Military and Veteran Microbiome: Consortium for Research and Education, Aurora, CO, United States.,Rocky Mountain Mental Illness Research Education and Clinical Center, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO, United States.,Department of Integrative Physiology, Center for Neuroscience, Center for Microbial Exploration, University of Colorado Boulder, Boulder, CO, United States.,Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.,inVIVO Planetary Health of the Worldwide Universities Network, New York, NY, United States
| | - Stefanie Malan-Müller
- Department of Pharmacology and Toxicology, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain.,Biomedical Network Research Center of Mental Health (CIBERSAM), Institute of Health Carlos III, Madrid, Spain
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6
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Bostanci N. Revisiting "-omics" in Oral Health and Disease. Proteomics Clin Appl 2020; 14:e1900022. [PMID: 32426939 DOI: 10.1002/prca.201900022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Indexed: 12/31/2022]
Affiliation(s)
- Nagihan Bostanci
- Division of Oral Disease, Department of Dental Medicine, Karolinska Institutet, Huddinge, 14104, Sweden
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