1
|
Garcia PN, de Souza MM, Izidoro MA, Juliano L, Lourenço SV, Camillo CMC. Saliva metabolomics: concepts and applications in oral disorders. Clin Oral Investig 2024; 28:579. [PMID: 39377832 DOI: 10.1007/s00784-024-05990-y] [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: 06/12/2024] [Accepted: 10/02/2024] [Indexed: 10/09/2024]
Abstract
OBJECTIVES The purpose of this review was to present the basic concepts of metabolomics methodology and the use of saliva for diagnostic, prognostic, and predictive strategies. MATERIAL AND METHODS This review followed the focus in: "saliva metabolomics" and "oral diseases". The authors searched studies on PubMed database. The inclusion criteria were original studies and reviews that assessed metabolomics techniques. A descriptive analysis was performed considering the study design, approach system, clinical steps, and tools for the determination of profile or biomarkers metabolites, and the advantages and disadvantages. RESULTS Metabolomic analyses use a combination of analytical instrumentation and informatic tools to provide information on metabolite characteristics. In this review we described different technologies applied and the advantages and limitations of each technique. Furthermore, in the literature search, we retrieved 25 studies that investigated saliva metabolites in oral diseases: 8 studies used targeted analysis and 17 untargeted metabolomics approaches. Most studies included patients with periodontal diseases, oral squamous cell carcinoma, and Sjögren Syndrome. The most frequently reported metabolites were glycine, leucine, phenylalanine, dipeptides, linoleic acid, arachidonic acid, tyrosine, choline, taurine, lactate, valine, and proline. CONCLUSIONS Metabolomics analysis has emerged as a powerful tool for tumor diagnosis and to enhance tumor classification, including salivary gland tumors (SGTs). It also holds promise for developing personalized treatment plans and defining more precise prognostic categories. CLINICAL RELEVANCE Metabolomics is the most functional and comprehensive technique for monitoring and understanding gene functions and identifying the biochemical state of an organism in response to genetic and environmental changes.
Collapse
Affiliation(s)
- Pedro Nunes Garcia
- International Research Center, Centro Internacional de Pesquisa, A.C. Camargo Cancer Center, Rua Taguá, 440 - Primeiro andar, São Paulo, 01508-010, Brazil
| | - Milena Monteiro de Souza
- International Research Center, Centro Internacional de Pesquisa, A.C. Camargo Cancer Center, Rua Taguá, 440 - Primeiro andar, São Paulo, 01508-010, Brazil.
| | | | - Luiz Juliano
- Department of Biophysics, Federal University of São Paulo, São Paulo, Brazil
| | | | - Cláudia Malheiros Coutinho Camillo
- International Research Center, Centro Internacional de Pesquisa, A.C. Camargo Cancer Center, Rua Taguá, 440 - Primeiro andar, São Paulo, 01508-010, Brazil
| |
Collapse
|
2
|
Barbosa JMG, Filho NRA. The human volatilome meets cancer diagnostics: past, present, and future of noninvasive applications. Metabolomics 2024; 20:113. [PMID: 39375265 DOI: 10.1007/s11306-024-02180-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 09/22/2024] [Indexed: 10/09/2024]
Abstract
BACKGROUND Cancer is a significant public health problem, causing dozens of millions of deaths annually. New cancer screening programs are urgently needed for early cancer detection, as this approach can improve treatment outcomes and increase patient survival. The search for affordable, noninvasive, and highly accurate cancer detection methods revealed a valuable source of tumor-derived metabolites in the human metabolome through the exploration of volatile organic compounds (VOCs) in noninvasive biofluids. AIM OF REVIEW This review discusses volatilomics-based approaches for cancer detection using noninvasive biomatrices (breath, saliva, skin secretions, urine, feces, and earwax). We presented the historical background, the latest approaches, and the required stages for clinical validation of volatilomics-based methods, which are still lacking in terms of making noninvasive methods available and widespread to the population. Furthermore, insights into the usefulness and challenges of volatilomics in clinical implementation steps for each biofluid are highlighted. KEY SCIENTIFIC CONCEPTS OF REVIEW We outline the methodologies for using noninvasive biomatrices with up-and-coming clinical applications in cancer diagnostics. Several challenges and advantages associated with the use of each biomatrix are discussed, aiming at encouraging the scientific community to strengthen efforts toward the necessary steps to speed up the clinical translation of volatile-based cancer detection methods, as well as discussing in favor of (i) hybrid applications (i.e., using more than one biomatrix) to describe metabolite modulations that can be "cancer volatile fingerprints" and (ii) in multi-omics approaches integrating genomics, transcriptomics, and proteomics into the volatilomic data, which might be a breakthrough for diagnostic purposes, onco-pathway assessment, and biomarker validations.
Collapse
Affiliation(s)
- João Marcos G Barbosa
- Laboratório de Métodos de Extração E Separação (LAMES), Instituto de Química (IQ), Universidade Federal de Goiás (UFG), Campus II - Samambaia, Goiânia, GO, 74690-900, Brazil.
| | - Nelson R Antoniosi Filho
- Laboratório de Métodos de Extração E Separação (LAMES), Instituto de Química (IQ), Universidade Federal de Goiás (UFG), Campus II - Samambaia, Goiânia, GO, 74690-900, Brazil.
| |
Collapse
|
3
|
Xiong H, Zhang X, Sun J, Xue Y, Yu W, Mou S, Hsia KJ, Wan H, Wang P. Recent advances in biosensors detecting biomarkers from exhaled breath and saliva for respiratory disease diagnosis. Biosens Bioelectron 2024; 267:116820. [PMID: 39374569 DOI: 10.1016/j.bios.2024.116820] [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: 05/28/2024] [Revised: 09/06/2024] [Accepted: 09/28/2024] [Indexed: 10/09/2024]
Abstract
The global demand for rapid and non-invasive diagnostic methods for respiratory diseases has significantly intensified due to the wide spread of respiratory infectious diseases. Recent advancements in respiratory disease diagnosis through the analysis of exhaled breath and saliva has attracted great attention all over the world. Among various analytical methods, biosensors can offer non-invasive, efficient, and cost-effective diagnostic capabilities, emerging as promising tools in this area. This review intends to provide a comprehensive overview of various biosensors for the detection of respiratory disease related biomarkers in exhaled breath and saliva. Firstly, the characteristics of exhaled breath and saliva, including their generation, composition, and relevant biomarkers are introduced. Subsequently, the design and application of various biosensors for detecting these biomarkers are presented, along with the innovative materials employed as sensitive components. Different types of biosensors are reviewed, including electrochemical, optical, piezoelectric, semiconductor, and other novel biosensors. At last, the challenges, limitations, and future trends of these biosensors are discussed. It is anticipated that biosensors will play a significant role in respiratory disease diagnosis in the future.
Collapse
Affiliation(s)
- Hangming Xiong
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; Binjiang Institute of Zhejiang University, Hangzhou 310053, China
| | - Xiaojing Zhang
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; Cancer Center, Zhejiang University, Hangzhou 310058, China
| | - Jiaying Sun
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Yingying Xue
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; Cancer Center, Zhejiang University, Hangzhou 310058, China
| | - Weijie Yu
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; Binjiang Institute of Zhejiang University, Hangzhou 310053, China
| | - Shimeng Mou
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; Cancer Center, Zhejiang University, Hangzhou 310058, China
| | - K Jimmy Hsia
- Schools of Chemical & Biomedical Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Hao Wan
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; Binjiang Institute of Zhejiang University, Hangzhou 310053, China.
| | - Ping Wang
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; Cancer Center, Zhejiang University, Hangzhou 310058, China.
| |
Collapse
|
4
|
Ye Q, Liu H, Meng H, Wang D, Zhang J, Zhu S, Mao J. Comprehensive mapping of saliva by multiomics in children with idiopathic nephrotic syndrome. Nephrology (Carlton) 2024; 29:565-578. [PMID: 38637907 DOI: 10.1111/nep.14308] [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: 01/09/2024] [Revised: 04/01/2024] [Accepted: 04/10/2024] [Indexed: 04/20/2024]
Abstract
AIM Saliva can reflect an individual's physiological status or susceptibility to systemic disease. However, little attention has been given to salivary analysis in children with idiopathic nephrotic syndrome (INS). We aimed to perform a comprehensive analysis of saliva from INS children. METHODS A total of 18 children (9 children with INS and 9 normal controls) were recruited. Saliva was collected from each INS patient in the acute and remission phases. 16S rRNA gene sequencing, widely targeted metabolomics, and 4D-DIA proteomics were performed. RESULTS Actinobacteria and Firmicutes were significantly enriched in the pretreatment group compared with the normal control group, while Bacteroidota and Proteobacteria were significantly decreased. A total of 146 metabolites were identified as significantly different between INS children before treatment and normal controls, which covers 17 of 23 categories. KEGG enrichment analysis revealed three significantly enriched pathways, including ascorbate and aldarate metabolism, pentose and glucuronate interconversions, and terpenoid backbone biosynthesis (P < 0.05). A total of 389 differentially expressed proteins were selected between INS children before treatment and normal controls. According to the KEGG and GO enrichment analyses of the KOGs, abnormal ribosome structure and function and humoral immune disorders were the most prominent differences between INS patients and normal controls in the proteomic analysis. CONCLUSION Oral microbiota dysbiosis may modulate the metabolic profile of saliva in children with INS. It is hypothesized that children with INS might have "abnormal ribosome structure and function" and "humoral immune disorders".
Collapse
Affiliation(s)
- Qing Ye
- Department of Laboratory Medicine, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Huihui Liu
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Hanyan Meng
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Dongjie Wang
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Jiayu Zhang
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Shifan Zhu
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Jianhua Mao
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| |
Collapse
|
5
|
Antonelli R, Ferrari E, Gallo M, Ciociola T, Calciolari E, Spisni A, Meleti M, Pertinhez TA. The Association between Salivary Metabolites and Gingival Bleeding Score in Healthy Subjects: A Pilot Study. Int J Mol Sci 2024; 25:5448. [PMID: 38791486 PMCID: PMC11122368 DOI: 10.3390/ijms25105448] [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: 04/13/2024] [Revised: 05/06/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
Periodontal diseases, including gingivitis and periodontitis, are among the most prevalent diseases in humans. Gingivitis is the mildest form of periodontal disease, characterized by inflammation of the gingiva caused by the accumulation of dental plaque. Salivary diagnostics are becoming increasingly popular due to the variation in saliva composition in response to pathological processes. We used a metabolomics approach to investigate whether a specific saliva metabolic composition could indicate preclinical stage of gingivitis. 1H-NMR spectroscopy was used to obtain the salivary metabolite profiles of 20 healthy subjects. Univariate/multivariate statistical analysis evaluated the whole saliva metabolite composition, and the Full-Mouth Bleeding Score (FMBS) was employed as a classification parameter. Identifying a signature of specific salivary metabolites could distinguish the subjects with high FMBS scores but still within the normal range. This set of metabolites may be due to the enzymatic activities of oral bacteria and be associated with the early stages of gingival inflammation. Although this analysis is to be considered exploratory, it seems feasible to establish an FMBS threshold that distinguishes between the absence and presence of early inflammatory alterations at the salivary level.
Collapse
Affiliation(s)
- Rita Antonelli
- Department of Medicine and Surgery, Centro Universitario di Odontoiatria, University of Parma, 43126 Parma, Italy; (R.A.); (E.C.); (M.M.)
| | - Elena Ferrari
- Laboratory of Biochemistry and Metabolomics, Department of Medicine and Surgery, University of Parma, 43125 Parma, Italy; (E.F.); (M.G.); (T.A.P.)
| | - Mariana Gallo
- Laboratory of Biochemistry and Metabolomics, Department of Medicine and Surgery, University of Parma, 43125 Parma, Italy; (E.F.); (M.G.); (T.A.P.)
| | - Tecla Ciociola
- Laboratory of Microbiology and Virology, Department of Medicine and Surgery, University of Parma, 43125 Parma, Italy;
| | - Elena Calciolari
- Department of Medicine and Surgery, Centro Universitario di Odontoiatria, University of Parma, 43126 Parma, Italy; (R.A.); (E.C.); (M.M.)
- Center for Oral Clinical Research, Institute of Dentistry, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 4NS, UK
| | - Alberto Spisni
- Laboratory of Biochemistry and Metabolomics, Department of Medicine and Surgery, University of Parma, 43125 Parma, Italy; (E.F.); (M.G.); (T.A.P.)
| | - Marco Meleti
- Department of Medicine and Surgery, Centro Universitario di Odontoiatria, University of Parma, 43126 Parma, Italy; (R.A.); (E.C.); (M.M.)
| | - Thelma A. Pertinhez
- Laboratory of Biochemistry and Metabolomics, Department of Medicine and Surgery, University of Parma, 43125 Parma, Italy; (E.F.); (M.G.); (T.A.P.)
| |
Collapse
|
6
|
Yu SM, Zheng HC, Wang SC, Rong WY, Li P, Jing J, He TT, Li JH, Ding X, Wang RL. Salivary metabolites are promising noninvasive biomarkers of drug-induced liver injury. World J Gastroenterol 2024; 30:2454-2466. [PMID: 38764769 PMCID: PMC11099387 DOI: 10.3748/wjg.v30.i18.2454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/05/2024] [Accepted: 04/18/2024] [Indexed: 05/11/2024] Open
Abstract
BACKGROUND Drug-induced liver injury (DILI) is one of the most common adverse events of medication use, and its incidence is increasing. However, early detection of DILI is a crucial challenge due to a lack of biomarkers and noninvasive tests. AIM To identify salivary metabolic biomarkers of DILI for the future development of noninvasive diagnostic tools. METHODS Saliva samples from 31 DILI patients and 35 healthy controls (HCs) were subjected to untargeted metabolomics using ultrahigh-pressure liquid chromatography coupled with tandem mass spectrometry. Subsequent analyses, including partial least squares-discriminant analysis modeling, t tests and weighted metabolite coexpression network analysis (WMCNA), were conducted to identify key differentially expressed metabolites (DEMs) and metabolite sets. Furthermore, we utilized least absolute shrinkage and selection operato and random fores analyses for biomarker prediction. The use of each metabolite and metabolite set to detect DILI was evaluated with area under the receiver operating characteristic curves. RESULTS We found 247 differentially expressed salivary metabolites between the DILI group and the HC group. Using WMCNA, we identified a set of 8 DEMs closely related to liver injury for further prediction testing. Interestingly, the distinct separation of DILI patients and HCs was achieved with five metabolites, namely, 12-hydroxydodecanoic acid, 3-hydroxydecanoic acid, tetradecanedioic acid, hypoxanthine, and inosine (area under the curve: 0.733-1). CONCLUSION Salivary metabolomics revealed previously unreported metabolic alterations and diagnostic biomarkers in the saliva of DILI patients. Our study may provide a potentially feasible and noninvasive diagnostic method for DILI, but further validation is needed.
Collapse
Affiliation(s)
- Si-Miao Yu
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Hao-Cheng Zheng
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Si-Ci Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Wen-Ya Rong
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Ping Li
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Jing Jing
- Department of Hepatology of Traditional Chinese Medicine, The Fifth Medical Center of PLA General Hospital, Beijing 100039, China
| | - Ting-Ting He
- Department of Hepatology of Traditional Chinese Medicine, The Fifth Medical Center of PLA General Hospital, Beijing 100039, China
| | - Jia-Hui Li
- The First Clinical Medical College, Henan University of Traditional Chinese Medicine, Zhengzhou 450000, Henan Province, China
| | - Xia Ding
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Rui-Lin Wang
- Department of Hepatology of Traditional Chinese Medicine, The Fifth Medical Center of PLA General Hospital, Beijing 100039, China
| |
Collapse
|
7
|
Kashyap B, Kullaa A. Salivary Metabolites Produced by Oral Microbes in Oral Diseases and Oral Squamous Cell Carcinoma: A Review. Metabolites 2024; 14:277. [PMID: 38786754 PMCID: PMC11122927 DOI: 10.3390/metabo14050277] [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: 03/06/2024] [Revised: 04/01/2024] [Accepted: 05/08/2024] [Indexed: 05/25/2024] Open
Abstract
In recent years, salivary metabolome studies have provided new biological information and salivary biomarkers to diagnose different diseases at early stages. The saliva in the oral cavity is influenced by many factors that are reflected in the salivary metabolite profile. Oral microbes can alter the salivary metabolite profile and may express oral inflammation or oral diseases. The released microbial metabolites in the saliva represent the altered biochemical pathways in the oral cavity. This review highlights the oral microbial profile and microbial metabolites released in saliva and its use as a diagnostic biofluid for different oral diseases. The importance of salivary metabolites produced by oral microbes as risk factors for oral diseases and their possible relationship in oral carcinogenesis is discussed.
Collapse
Affiliation(s)
| | - Arja Kullaa
- Institute of Dentistry, University of Eastern Finland, 70211 Kuopio, Finland;
| |
Collapse
|
8
|
Fang L, Zhai Q, Zhang H, Ji P, Chen C, Zhang H. Comparisons of different extraction methods and solvents for saliva samples. Metabolomics 2024; 20:38. [PMID: 38460055 DOI: 10.1007/s11306-024-02105-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 02/19/2024] [Indexed: 03/11/2024]
Abstract
INTRODUCTION Changes in the categories and concentrations of salivary metabolites may be closely related to oral, intestinal or systemic diseases. To study salivary metabolites, the first analytical step is to extract them from saliva samples as much as possible, while reducing interferences to a minimum. Frequently used extraction methods are protein precipitation (PPT), liquid-liquid extraction (LLE) and solid-phase extraction (SPE), with various organic solvents. The types and quantities of metabolites extracted with different methods may vary greatly, but few studies have systematically evaluated them. OBJECTIVES This study aimed to select the most suitable methods and solvents for the extraction of saliva according to different analytical targets. METHODS An untargeted metabolomics approach based on liquid chromatography-mass spectrometry was applied to obtain the raw data. The numbers of metabolites, repeatability of the data and intensities of mass spectrometry signals were used as evaluation criteria. RESULTS PPT resulted in the highest coverage. Among the PPT solvents, acetonitrile displayed the best repeatability and the highest coverage, while acetone resulted in the best signal intensities for the extracted compounds. LLE with the mixture of chloroform and methanol was the most suitable for the extraction of small hydrophobic compounds. CONCLUSION PPT with acetonitrile or acetone was recommended for untargeted analysis, while LLE with the mixture of chloroform and methanol was recommended for small hydrophobic compounds.
Collapse
Affiliation(s)
- Lingli Fang
- Chongqing Key Laboratory of Oral Disease and Biomedical Sciences, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Qiming Zhai
- Chongqing Key Laboratory of Oral Disease and Biomedical Sciences, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Zhang
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ping Ji
- Chongqing Key Laboratory of Oral Disease and Biomedical Sciences, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Chang Chen
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
| | - Hongmei Zhang
- Department of Pediatric Dentistry, Stomatological Hospital of Chongqing Medical University, Chongqing, China.
| |
Collapse
|
9
|
Gregorczyk-Maga I, Kania M, Dąbrowska M, Samborowska E, Żeber-Lubecka N, Kulecka M, Klupa T. The interplay between gingival crevicular fluid microbiome and metabolomic profile in intensively treated people with type 1 diabetes - a combined metagenomic/metabolomic approach cross-sectional study. Front Endocrinol (Lausanne) 2024; 14:1332406. [PMID: 38371896 PMCID: PMC10871129 DOI: 10.3389/fendo.2023.1332406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 12/31/2023] [Indexed: 02/20/2024] Open
Abstract
Aims This study aimed to assess the gingival crevicular fluid (GCF) microbiome and metabolome of adults with type 1 diabetes (T1D) treated with continuous subcutaneous insulin infusion (CSII). Methods In this cross-sectional study, the GCF of adults with T1D treated with CSII and non-diabetic controls were sampled, and metagenomic/metabolomic analyses were performed. Results In total, 65 participants with T1D and 45 healthy controls with a mean age of 27.05 ± 5.95 years were investigated. There were 22 cases of mild gingivitis (G) in the T1D group. There were no differences considering the Shannon and Chao indices and β-diversity between people with T1D and G, with T1D without G, and healthy controls. Differential taxa were identified, which were mainly enriched in people with T1D and G. Acetic acid concentration was higher in people with T1D, regardless of the presence of G, than in healthy controls. Propionic acid was higher in people with T1D and G than in healthy controls. Isobutyric and isovaleric acid levels were higher in individuals with T1D and G than in the other two subgroups. The concentration of valeric acid was lower and that of caproic acid was higher in people with T1D (regardless of gingival status) than in healthy controls. Conclusions The identification of early changes in periodontal tissues by targeting the microbiome and metabolome could potentially enable effective prevention and initial treatment of periodontal disease in people with T1D.
Collapse
Affiliation(s)
- Iwona Gregorczyk-Maga
- Institute of Dentistry, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Michał Kania
- Chair of Metabolic Diseases and Diabetology, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland
- Doctoral School of Medicine and Health Sciences, Jagiellonian University Medical College, Krakow, Poland
| | - Michalina Dąbrowska
- Department of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Emilia Samborowska
- Mass Spectrometry Laboratory, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland
| | - Natalia Żeber-Lubecka
- Department of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
- Department of Gastroenterology, Hepatology and Clinical Oncology, Center of Postgraduate Medical Education, Warsaw, Poland
| | - Maria Kulecka
- Department of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
- Department of Gastroenterology, Hepatology and Clinical Oncology, Center of Postgraduate Medical Education, Warsaw, Poland
| | - Tomasz Klupa
- Center of Advanced Technologies in Diabetes, Chair of Metabolic Diseases, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland
| |
Collapse
|
10
|
Zheng L, Shi L, Wu X, Hu P, Zhang B, Han X, Wang K, Li X, Yang F, Wang Y, Li X, Qiao R. Advances in Research on Pig Salivary Analytes: A Window to Reveal Pig Health and Physiological Status. Animals (Basel) 2024; 14:374. [PMID: 38338017 PMCID: PMC10854898 DOI: 10.3390/ani14030374] [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: 11/12/2023] [Revised: 01/17/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
Saliva is an important exocrine fluid that is easy to collect and is a complex mixture of proteins and other molecules from multiple sources from which considerable biological information can be mined. Pig saliva, as an easily available biological liquid rich in bioactive ingredients, is rich in nucleic acid analytes, such as eggs, enzymes, amino acids, sugars, etc. The expression levels of these components in different diseases have received extensive attention, and the analysis of specific proteins, metabolites, and biological compositions in pig saliva has become a new direction for disease diagnosis and treatment. The study of the changes in analytes in pig saliva can provide a new strategy for early diagnosis, prognosis assessment, and treatment of diseases. In this paper, the detection methods and research progress of porcine salivary analytes are reviewed, the application and research progress of porcine salivary analytes in diseases are discussed, and the future application prospect is presented.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Ruimin Qiao
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; (L.Z.); (L.S.)
| |
Collapse
|
11
|
Kashyap B, Hyvärinen E, Laitinen I, Kullaa AM. Salivary metabolomics in patients with oral lichen planus: a preliminary study based on NMR spectroscopy. Clin Oral Investig 2024; 28:103. [PMID: 38236502 PMCID: PMC10796579 DOI: 10.1007/s00784-023-05389-1] [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: 09/12/2023] [Accepted: 12/12/2023] [Indexed: 01/19/2024]
Abstract
OBJECTIVES The present preliminary study aimed to investigate the salivary metabolic profile in patients with asymptomatic oral lichen planus (OLP) using nuclear magnetic resonance (NMR) spectroscopy. MATERIAL AND METHODS Stimulated whole mouth saliva (SWMS) samples were collected from 15 reticular OLP female patients and 15 from age- and sex-matched controls (HCs). A total of 23 metabolites were identified and quantified. Mann-Whitney's U test was used to compare the determined concentration salivary metabolite concentrations between OLP patients and the healthy controls. RESULTS The concentration of acetate, methylamine, and pyruvate was elevated, whereas the concentration of tyrosine was decreased in the saliva of OLP patients compared with HCs. To identify a combination of metabolites, multivariate discrimination function analysis (DFA) was conducted. DFA analysis have shown that the most powerful discrimination between the groups was achieved when methylamine and tyrosine were considered as combined biomarkers. CONCLUSIONS Salivary tyrosine was of particular interest and a promising finding for the screening of OLP and its progression. Further longitudinal studies are required to establish it as a reliable salivary biomarker in OLP. CLINICAL RELEVANCE The salivary metabolic profiling can describe the pathologic characteristics of OLP on non-invasive saliva samples and NMR analysis. Salivary metabolites provide details to considered early detectors and to impact oral health of OLP patients.
Collapse
Affiliation(s)
- Bina Kashyap
- Department of Oral Diagnostic Sciences, Faculty of Health Sciences, Institute of Dentistry, University of Eastern Finland, Kuopio Campus, PO Box 1627, 70211, Kuopio, Finland
| | - Eelis Hyvärinen
- Department of Oral Diagnostic Sciences, Faculty of Health Sciences, Institute of Dentistry, University of Eastern Finland, Kuopio Campus, PO Box 1627, 70211, Kuopio, Finland
| | | | - Arja M Kullaa
- Department of Oral Diagnostic Sciences, Faculty of Health Sciences, Institute of Dentistry, University of Eastern Finland, Kuopio Campus, PO Box 1627, 70211, Kuopio, Finland.
| |
Collapse
|
12
|
de Souza HMR, Pereira TTP, de Sá HC, Alves MA, Garrett R, Canuto GAB. Critical Factors in Sample Collection and Preparation for Clinical Metabolomics of Underexplored Biological Specimens. Metabolites 2024; 14:36. [PMID: 38248839 PMCID: PMC10819689 DOI: 10.3390/metabo14010036] [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: 11/24/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 01/23/2024] Open
Abstract
This review article compiles critical pre-analytical factors for sample collection and extraction of eight uncommon or underexplored biological specimens (human breast milk, ocular fluids, sebum, seminal plasma, sweat, hair, saliva, and cerebrospinal fluid) under the perspective of clinical metabolomics. These samples are interesting for metabolomics studies as they reflect the status of living organisms and can be applied for diagnostic purposes and biomarker discovery. Pre-collection and collection procedures are critical, requiring protocols to be standardized to avoid contamination and bias. Such procedures must consider cleaning the collection area, sample stimulation, diet, and food and drug intake, among other factors that impact the lack of homogeneity of the sample group. Precipitation of proteins and removal of salts and cell debris are the most used sample preparation procedures. This review intends to provide a global view of the practical aspects that most impact results, serving as a starting point for the designing of metabolomic experiments.
Collapse
Affiliation(s)
- Hygor M. R. de Souza
- Instituto de Química, Universidade Federal do Rio de Janeiro, LabMeta—LADETEC, Rio de Janeiro 21941-598, Brazil;
| | - Tássia T. P. Pereira
- Departamento de Genética, Ecologia e Evolucao, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil;
- Departamento de Biodiversidade, Evolução e Meio Ambiente, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, Brazil
| | - Hanna C. de Sá
- Departamento de Química Analítica, Instituto de Química, Universidade Federal da Bahia, Salvador 40170-115, Brazil;
| | - Marina A. Alves
- Instituto de Pesquisa de Produtos Naturais Walter Mors, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-599, Brazil;
| | - Rafael Garrett
- Instituto de Química, Universidade Federal do Rio de Janeiro, LabMeta—LADETEC, Rio de Janeiro 21941-598, Brazil;
- Department of Laboratory Medicine, Boston Children’s Hospital—Harvard Medical School, Boston, MA 02115, USA
| | - Gisele A. B. Canuto
- Departamento de Química Analítica, Instituto de Química, Universidade Federal da Bahia, Salvador 40170-115, Brazil;
| |
Collapse
|
13
|
Jaber M, Kahwaji H, Nasr S, Baz R, Kim YK, Fakhoury M. Precision Medicine in Depression: The Role of Proteomics and Metabolomics in Personalized Treatment Approaches. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1456:359-378. [PMID: 39261438 DOI: 10.1007/978-981-97-4402-2_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/13/2024]
Abstract
Depression, or major depressive disorder (MDD), is a widespread mental health condition marked by enduring feelings of sorrow and loss of interest. Treatment of depression frequently combines psychotherapy, medication, and lifestyle modifications. However, the occurrence of treatment resistance in certain individuals makes it difficult for physicians to effectively manage this disorder, calling for the implementation of alternative therapeutic strategies. Recently, precision medicine has gained increased attention in the field of mental health, paving the way for more personalized and effective therapeutic interventions in depression. Also known as personalized medicine, this approach relies on genetic composition, molecular profiles, and environmental variables to customize therapies to individual patients. In particular, precision medicine has offered novel viewpoints on depression through two specific domains: proteomics and metabolomics. On one hand, proteomics is the thorough study of proteins in a biological system, while metabolomics focuses on analyzing the complete set of metabolites in a living being. In the past few years, progress in research has led to the identification of numerous depression-related biomarkers using proteomics and metabolomics techniques, allowing for early identification, precise diagnosis, and improved clinical outcome. However, despite significant progress in these techniques, further efforts are required for advancing precision medicine in the diagnosis and treatment of depression. The overarching goal of this chapter is to provide the current state of knowledge regarding the use of proteomics and metabolomics in identifying biomarkers related to depression. It also highlights the potential of proteomics and metabolomics in elucidating the intricate processes underlying depression, opening the door for tailored therapies that could eventually enhance clinical outcome in depressed patients. This chapter finally discusses the main challenges in the use of proteomics and metabolomics and discusses potential future research directions.
Collapse
Affiliation(s)
- Mohamad Jaber
- School of Medicine, American University of Beirut, Beirut, Lebanon
| | - Hamza Kahwaji
- School of Medicine, Lebanese American University, Byblos, Lebanon
| | - Sirine Nasr
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon
| | - Reine Baz
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon
| | - Yong-Ku Kim
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
| | - Marc Fakhoury
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon.
| |
Collapse
|
14
|
Alamri MM, Williams B, Le Guennec A, Mainas G, Santamaria P, Moyes DL, Nibali L. Metabolomics analysis in saliva from periodontally healthy, gingivitis and periodontitis patients. J Periodontal Res 2023; 58:1272-1280. [PMID: 37787434 DOI: 10.1111/jre.13183] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/29/2023] [Accepted: 09/01/2023] [Indexed: 10/04/2023]
Abstract
OBJECTIVE The aim of this study was to investigate metabolomics markers in the saliva of patients with periodontal health, gingivitis and periodontitis. BACKGROUND The use of metabolomics for diagnosing and monitoring periodontitis is promising. Although several metabolites have been reported to be altered by inflammation, few studies have examined metabolomics in saliva collected from patients with different periodontal phenotypes. METHODS Saliva samples collected from a total of 63 patients were analysed by nuclear magnetic resonance (NMR) followed by ELISA for interleukin (IL)-1β. The patient sample, well-characterised clinically, included periodontal health (n = 8), gingivitis (n = 19) and periodontitis (n = 36) cases, all non-smokers and not diabetic. RESULTS Periodontal diagnosis (healthy/gingivitis/periodontitis) was not associated with any salivary metabolites in this exploratory study. Periodontal staging showed nominal associations with acetoin (p = .030) and citrulline (p = .047). Among other investigated variables, the use of systemic antibiotics in the previous 3 months was associated with higher values of the amino acids taurine, glycine and ornithine (p = .002, p = .05 and p = .005, respectively, at linear regression adjusted for age, gender, ethnicity, body mass index and staging). CONCLUSION While periodontal staging was marginally associated with some salivary metabolites, other factors such as systemic antibiotic use may have a much more profound effect on the microbial metabolites in saliva. Metabolomics in periodontal disease is still an underresearched area that requires further observational studies on large cohorts of patients, aiming to obtain data to be used for clinical translation.
Collapse
Affiliation(s)
- Meaad M Alamri
- Periodontology Unit, Centre for Host Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
- Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Benjamin Williams
- Periodontology Unit, Centre for Host Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Adrien Le Guennec
- Centre for Biomolecular Spectroscopy, King's College London, London, UK
- Randall Centre for Cell and Molecular Biophysics, King's College London, London, UK
| | - Giuseppe Mainas
- Periodontology Unit, Centre for Host Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Pasquale Santamaria
- Periodontology Unit, Centre for Host Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - David L Moyes
- Periodontology Unit, Centre for Host Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Luigi Nibali
- Periodontology Unit, Centre for Host Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| |
Collapse
|
15
|
O’Connor LM, O’Connor BA, Zeng J, Lo CH. Data Mining of Microarray Datasets in Translational Neuroscience. Brain Sci 2023; 13:1318. [PMID: 37759919 PMCID: PMC10527016 DOI: 10.3390/brainsci13091318] [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: 07/25/2023] [Revised: 09/04/2023] [Accepted: 09/10/2023] [Indexed: 09/29/2023] Open
Abstract
Data mining involves the computational analysis of a plethora of publicly available datasets to generate new hypotheses that can be further validated by experiments for the improved understanding of the pathogenesis of neurodegenerative diseases. Although the number of sequencing datasets is on the rise, microarray analysis conducted on diverse biological samples represent a large collection of datasets with multiple web-based programs that enable efficient and convenient data analysis. In this review, we first discuss the selection of biological samples associated with neurological disorders, and the possibility of a combination of datasets, from various types of samples, to conduct an integrated analysis in order to achieve a holistic understanding of the alterations in the examined biological system. We then summarize key approaches and studies that have made use of the data mining of microarray datasets to obtain insights into translational neuroscience applications, including biomarker discovery, therapeutic development, and the elucidation of the pathogenic mechanisms of neurodegenerative diseases. We further discuss the gap to be bridged between microarray and sequencing studies to improve the utilization and combination of different types of datasets, together with experimental validation, for more comprehensive analyses. We conclude by providing future perspectives on integrating multi-omics, to advance precision phenotyping and personalized medicine for neurodegenerative diseases.
Collapse
Affiliation(s)
- Lance M. O’Connor
- College of Biological Sciences, University of Minnesota, Minneapolis, MN 55455, USA;
| | - Blake A. O’Connor
- School of Pharmacy, University of Wisconsin, Madison, WI 53705, USA;
| | - Jialiu Zeng
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore;
| | - Chih Hung Lo
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore;
| |
Collapse
|
16
|
Bosman P, Pichon V, Acevedo AC, Modesto FMB, Paula LM, Le Pottier L, Pers JO, Chardin H, Combès A. Identification of potential salivary biomarkers for Sjögren's syndrome with an untargeted metabolomic approach. Metabolomics 2023; 19:76. [PMID: 37634175 DOI: 10.1007/s11306-023-02040-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 08/03/2023] [Indexed: 08/29/2023]
Abstract
INTRODUCTION Despite the rise of metabolomics over the past years, and particularly salivary metabolomics, little research on Sjögren's syndrome (SS) biomarkers has focused on the salivary metabolome. OBJECTIVES This study aims to identify metabolites that could be used as biomarkers for SS. METHODS Using the software called XCMS online, the salivary metabolic profiles obtained with liquid chromatography coupled to high-resolution mass spectrometry for 18 female SS patients were compared to those obtained for 22 age-matched female healthy controls. RESULTS AND CONCLUSION A total of 91 metabolites showed differential expression in SS patients. A putative identification was proposed with the use of a database for 37 of these metabolites and, of these, 16 identifications were confirmed. Given the identified metabolites, some important metabolic pathways, such as amino acid metabolism, purine metabolism, or even the citric acid cycle seem to be affected. Through the analyses of the ROC (receiver operating characteristic) curves, three metabolites, namely alanine, isovaleric acid, and succinic acid, showed both good sensitivity (respectively 1.000, 1.000, and 0.750) and specificity (respectively 0.692, 0.615, and 0.692) for identifying SS and could then be interesting biomarkers for a potential salivary diagnosis test.
Collapse
Affiliation(s)
- Pauline Bosman
- Laboratoire des Sciences Analytiques, Bioanalytiques et Miniaturisation, UMR 8231 CBI CNRS, ESPCI Paris, PSL université, Paris, France
| | - Valérie Pichon
- Laboratoire des Sciences Analytiques, Bioanalytiques et Miniaturisation, UMR 8231 CBI CNRS, ESPCI Paris, PSL université, Paris, France
- Sorbonne Université, Paris, France
| | - Ana Carolina Acevedo
- Laboratory of Oral Histopathology, Health Sciences Faculty of Brasilia Campus, Universitario Darcy Ribeiro, Brasilia, Brazil
- Université Paris Cité, Paris, France
| | | | - Lilian M Paula
- Laboratory of Oral Histopathology, Health Sciences Faculty of Brasilia Campus, Universitario Darcy Ribeiro, Brasilia, Brazil
| | | | | | - Hélène Chardin
- Laboratoire des Sciences Analytiques, Bioanalytiques et Miniaturisation, UMR 8231 CBI CNRS, ESPCI Paris, PSL université, Paris, France
- Université Paris Cité, Paris, France
- AP-HP, Hôpital Henri Mondor, Créteil, France
| | - Audrey Combès
- Laboratoire des Sciences Analytiques, Bioanalytiques et Miniaturisation, UMR 8231 CBI CNRS, ESPCI Paris, PSL université, Paris, France.
| |
Collapse
|
17
|
Nam SL, Tarazona Carrillo K, de la Mata AP, Harynuk JJ. Untargeted Metabolomic Profiling of Aqueous and Lyophilized Pooled Human Feces from Two Diet Cohorts Using Two-Dimensional Gas Chromatography Coupled with Time-of-Flight Mass Spectrometry. Metabolites 2023; 13:828. [PMID: 37512535 PMCID: PMC10383202 DOI: 10.3390/metabo13070828] [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: 05/08/2023] [Revised: 06/28/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
The metabolic profiles of human feces are influenced by various genetic and environmental factors, which makes feces an attractive biosample for numerous applications, including the early detection of gut diseases. However, feces is complex, heterogeneous, and dynamic with a significant live bacterial biomass. With such challenges, stool metabolomics has been understudied compared to other biospecimens, and there is a current lack of consensus on methods to collect, prepare, and analyze feces. One of the critical steps required to accelerate the field is having a metabolomics stool reference material available. Fecal samples are generally presented in two major forms: fecal water and lyophilized feces. In this study, two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC×GC-TOFMS) was used as an analytical platform to characterize pooled human feces, provided by the National Institute of Standards and Technology (NIST) as Research-Grade Test Materials. The collected fecal samples were derived from eight healthy individuals with two different diets: vegans and omnivores, matched by age, sex, and body mass index (BMI), and stored as fecal water and lyophilized feces. Various data analysis strategies were presented to determine the differences in the fecal metabolomic profiles. The results indicate that the sample storage condition has a major influence on the metabolic profiles of feces such that the impact from storage surpasses the metabolic differences from the diet types. The findings of the current study would contribute towards the development of a stool reference material.
Collapse
Affiliation(s)
- Seo Lin Nam
- Department of Chemistry, University of Alberta, Edmonton, AB T6G 2G2, Canada
| | | | | | - James J Harynuk
- Department of Chemistry, University of Alberta, Edmonton, AB T6G 2G2, Canada
| |
Collapse
|
18
|
Kim HJ. A New Simpler and More Accurate Approach to the Diagnosis of Sleep Apnea. ALLERGY, ASTHMA & IMMUNOLOGY RESEARCH 2023; 15:276-278. [PMID: 37188484 DOI: 10.4168/aair.2023.15.3.276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 04/23/2023] [Accepted: 04/25/2023] [Indexed: 05/17/2023]
Affiliation(s)
- Hyun Jun Kim
- Department of Otorhinolaryngology, Ajou University School of Medicine, Suwon, Korea.
| |
Collapse
|
19
|
Kim J, An S, Kim Y, Yoon DW, Son SA, Park JW, Jhe W, Park CS, Shin HW. Surface Active Salivary Metabolites Indicate Oxidative Stress and Inflammation in Obstructive Sleep Apnea. ALLERGY, ASTHMA & IMMUNOLOGY RESEARCH 2023; 15:316-335. [PMID: 37075797 DOI: 10.4168/aair.2023.15.3.316] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/25/2022] [Accepted: 12/13/2022] [Indexed: 05/17/2023]
Abstract
PURPOSE Obstructive sleep apnea (OSA), a highly prevalent and potentially serious sleep disorder, requires effective screening tools. Saliva is a useful biological fluid with various metabolites that might also influence upper airway patency by affecting surface tension in the upper airway. However, little is known about the composition and role of salivary metabolites in OSA. Therefore, we investigated the metabolomics signature in saliva from the OSA patients and evaluated the associations between identified metabolites and salivary surface tension. METHODS We studied 68 subjects who visited sleep clinic due to the symptoms of OSA. All underwent full-night in-lab polysomnography. Patients with apnea-hypopnea index (AHI) < 10 were classified to the control, and those with AHI ≥ 10 were the OSA groups. Saliva samples were collected before and after sleep. The centrifuged saliva samples were analyzed by liquid chromatography with high-resolution mass spectrometry (ultra-performance liquid chromatography-tandem mass spectrometry; UPLC-MS/MS). Differentially expressed salivary metabolites were identified using open source software (XCMS) and Compound Discoverer 2.1. Metabolite set enrichment analysis (MSEA) was performed using MetaboAnalyst 5.0. The surface tension of the saliva samples was determined by the pendant drop method. RESULTS Three human-derived metabolites (1-palmitoyl-2-[5-hydroxyl-8-oxo-6-octenoyl]-sn-glycerol-3-phosphatidylcholine [PHOOA-PC], 1-palmitoyl-2-[5-keto-8-oxo-6-octenoyl]-sn-glycerol-3-phosphatidylcholine [KPOO-PC], and 9-nitrooleate) were significantly upregulated in the after-sleep salivary samples from the OSA patients compared to the control group samples. Among the candidate metabolites, only PHOOA-PC was correlated with the AHI. In OSA samples, salivary surface tension decreased after sleep. The differences in surface tension were negatively correlated with PHOOA-PC and 9-nitrooleate concentrations. Furthermore, MSEA revealed that arachidonic acid-related metabolism pathways were upregulated in the after-sleep samples from the OSA group. CONCLUSIONS This study revealed that salivary PHOOA-PC was correlated positively with the AHI and negatively with salivary surface tension in the OSA group. Salivary metabolomic analysis may improve our understanding of upper airway dynamics and provide new insights into novel biomarkers and therapeutic targets in OSA.
Collapse
Affiliation(s)
- Jiyoung Kim
- Obstructive Upper Airway Research (OUaR) Laboratory, Department of Pharmacology, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Science, Seoul National University Graduate School, Seoul, Korea
- Metabolomics Medical Research Center (MMRC), Seoul National University College of Medicine, Seoul, Korea
- Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Sangmin An
- Department of Physics and Astronomy, Institute of Applied Physics, Seoul National University, Seoul, Korea
- Department of Physics, Research institute of Physics and Chemistry, Jeonbuk National University, Jeonju, Korea
| | - Yisook Kim
- Obstructive Upper Airway Research (OUaR) Laboratory, Department of Pharmacology, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Science, Seoul National University Graduate School, Seoul, Korea
- Metabolomics Medical Research Center (MMRC), Seoul National University College of Medicine, Seoul, Korea
| | - Dae-Wui Yoon
- Obstructive Upper Airway Research (OUaR) Laboratory, Department of Pharmacology, Seoul National University College of Medicine, Seoul, Korea
| | - Soo Ah Son
- Department of Otorhinolaryngology-Head and Neck Surgery, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jong-Wan Park
- Obstructive Upper Airway Research (OUaR) Laboratory, Department of Pharmacology, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Science, Seoul National University Graduate School, Seoul, Korea
- Metabolomics Medical Research Center (MMRC), Seoul National University College of Medicine, Seoul, Korea
- Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Wonho Jhe
- Department of Physics and Astronomy, Institute of Applied Physics, Seoul National University, Seoul, Korea.
| | - Chan-Soon Park
- Department of Otorhinolaryngology-Head and Neck Surgery, The Catholic University of Korea, St. Vincent's Hospital, Suwon, Korea.
| | - Hyun-Woo Shin
- Obstructive Upper Airway Research (OUaR) Laboratory, Department of Pharmacology, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Science, Seoul National University Graduate School, Seoul, Korea
- Metabolomics Medical Research Center (MMRC), Seoul National University College of Medicine, Seoul, Korea
- Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Otorhinolaryngology-Head and Neck Surgery, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Hospital, Seoul, Korea.
| |
Collapse
|
20
|
Hyvärinen E, Kashyap B, Kullaa AM. Oral Sources of Salivary Metabolites. Metabolites 2023; 13:metabo13040498. [PMID: 37110157 PMCID: PMC10145445 DOI: 10.3390/metabo13040498] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/10/2023] [Accepted: 03/28/2023] [Indexed: 03/31/2023] Open
Abstract
The oral cavity is very diverse, where saliva plays an important role in maintaining oral health. The metabolism of saliva has been used to investigate oral diseases as well as general diseases, mainly to detect diagnostic biomarkers. There are many sources of salivary metabolites in the mouth. The online English language search and PubMed databases were searched to retrieve relevant studies on oral salivary metabolites. The physiological balance of the mouth is influenced by many factors that are reflected in the salivary metabolite profile. Similarly, the dysbiosis of microbes can alter the salivary metabolite profile, which may express oral inflammation or oral diseases. This narrative review highlights the factors to be considered when examining saliva and its use as a diagnostic biofluid for different diseases. Salivary metabolites, mainly small molecular metabolites may enter the bloodstream and cause illness elsewhere in the body. The importance of salivary metabolites produced in the oral cavity as risk factors for general diseases and their possible relationship to the body’s function are also discussed.
Collapse
|
21
|
Saliva Metabolomic Profile in Dental Medicine Research: A Narrative Review. Metabolites 2023; 13:metabo13030379. [PMID: 36984819 PMCID: PMC10052075 DOI: 10.3390/metabo13030379] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023] Open
Abstract
Metabolomic research tends to increase in popularity over the years, leading to the identification of new biomarkers related to specific health disorders. Saliva is one of the most newly introduced and systematically developed biofluids in the human body that can serve as an informative substance in the metabolomic profiling armamentarium. This review aims to analyze the current knowledge regarding the human salivary metabolome, its alterations due to physiological, environmental and external factors, as well as the limitations and drawbacks presented in the most recent research conducted, focusing on pre—analytical and analytical workflows. Furthermore, the use of the saliva metabolomic profile as a promising biomarker for several oral pathologies, such as oral cancer and periodontitis will be investigated.
Collapse
|
22
|
Piyarathne NS, Weerasekera MM, Fonseka PFD, Karunatilleke AHTS, Liyanage RLPR, Jayasinghe RD, De Silva K, Yasawardene S, Gupta E, Jayasinghe JAP, Abu-Eid R. Salivary Interleukin Levels in Oral Squamous Cell Carcinoma and Oral Epithelial Dysplasia: Findings from a Sri Lankan Study. Cancers (Basel) 2023; 15:cancers15051510. [PMID: 36900301 PMCID: PMC10001283 DOI: 10.3390/cancers15051510] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/17/2023] [Accepted: 02/24/2023] [Indexed: 03/08/2023] Open
Abstract
The incidence of oral squamous cell carcinoma (OSCC), and its precursor, oral epithelial dysplasia (OED), is on the rise, especially in South Asia. OSCC is the leading cancer in males in Sri Lanka, with >80% diagnosed at advanced clinical stages. Early detection is paramount to improve patient outcome, and saliva testing is a promising non-invasive tool. The aim of this study was to assess salivary interleukins (lL1β, IL6, and IL8) in OSCC, OED and disease-free controls in a Sri Lankan study cohort. A case-control study with OSCC (n = 37), OED (n = 30) patients and disease-free controls (n = 30) was conducted. Salivary lL1β, IL6, and IL8 were quantified using enzyme-linked immuno-sorbent assay. Comparisons between different diagnostic groups and potential correlations to risk factors were assessed. Salivary levels for the three tested interleukins increased from disease-free controls through OED, and were highest in OSCC samples. Furthermore, the levels of IL1β, IL6, and IL8 increased progressively with OED grade. The discrimination between patients (OSCC and OED) and controls, as assessed by AUC of receiver operating characteristic curves, was 0.9 for IL8 (p = 0.0001) and 0.8 for IL6 (p = 0.0001), while IL1β differentiated OSCC from controls (AUC 0.7, p = 0.006). No significant associations were found between salivary interleukin levels and smoking, alcohol, and betel quid risk factors. Our findings suggest that salivary IL1β, IL6, and IL8 are associated with disease severity of OED, and are potential biomarkers for predicting disease progression in OED, and the screening of OSCC.
Collapse
Affiliation(s)
- Nadisha S. Piyarathne
- Institute of Dentistry, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen AB25 2ZR, UK
- Center for Research in Oral Cancer, Faculty of Dental Sciences, University of Peradeniya, Peradeniya 20400, Sri Lanka
| | - Manjula M. Weerasekera
- Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda 10250, Sri Lanka
- Sri Lanka Institute of Biotechnology, Pitipana, Homagama 10206, Sri Lanka
| | | | | | | | - Ruwan Duminda Jayasinghe
- Center for Research in Oral Cancer, Faculty of Dental Sciences, University of Peradeniya, Peradeniya 20400, Sri Lanka
| | | | - Surangi Yasawardene
- Faculty of Medical Sciences, University of Sri Jayewardenepura, Nugegoda 10250, Sri Lanka
| | - Ekta Gupta
- Institute of Dentistry, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen AB25 2ZR, UK
| | | | - Rasha Abu-Eid
- Institute of Dentistry, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen AB25 2ZR, UK
- Aberdeen Cancer Centre, University of Aberdeen, Aberdeen AB25 2ZR, UK
- Correspondence:
| |
Collapse
|
23
|
Hyvärinen E, Solje E, Vepsäläinen J, Kullaa A, Tynkkynen T. Salivary Metabolomics in the Diagnosis and Monitoring of Neurodegenerative Dementia. Metabolites 2023; 13:metabo13020233. [PMID: 36837852 PMCID: PMC9968225 DOI: 10.3390/metabo13020233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/17/2023] [Accepted: 02/02/2023] [Indexed: 02/08/2023] Open
Abstract
Millions of people suffer with dementia worldwide. However, early diagnosis of neurodegenerative diseases/dementia (NDD) is difficult, and no specific biomarkers have been found. This study aims to review the applications of salivary metabolomics in diagnostics and the treatment monitoring of NDD A literature search of suitable studies was executed so that a total of 29 original research articles were included in the present review. Spectroscopic methods, mainly nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry, give us a broad view of changes in salivary metabolites in neurodegenerative diseases. The role of different salivary metabolites in brain function is discussed. Further studies with larger patient cohorts should be carried out to investigate the association between salivary metabolites and brain function and thus learn more about the complicated pathways in the human body.
Collapse
Affiliation(s)
- Eelis Hyvärinen
- Institute of Dentistry, University of Eastern Finland, 70210 Kuopio, Finland
| | - Eino Solje
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, 70210 Kuopio, Finland
- Neuro Center, Neurology, Kuopio University Hospital, 70210 Kuopio, Finland
| | - Jouko Vepsäläinen
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, 70210 Kuopio, Finland
| | - Arja Kullaa
- Institute of Dentistry, University of Eastern Finland, 70210 Kuopio, Finland
- Correspondence: ; Tel.: +358-44-515-0452
| | - Tuulia Tynkkynen
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, 70210 Kuopio, Finland
| |
Collapse
|
24
|
Salivary Antioxidant Capacity and Magnesium in Generalized Anxiety Disorder. Metabolites 2023; 13:metabo13010073. [PMID: 36676998 PMCID: PMC9862115 DOI: 10.3390/metabo13010073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/29/2022] [Accepted: 12/29/2022] [Indexed: 01/22/2023] Open
Abstract
Generalized anxiety disorder (GAD) is a prevalent disorder. The search for biomarkers may contribute to new knowledge about molecular pathogenesis and treatment. Since oxidative stress and micronutrient imbalance play a key role in the development of mental disorders, we aimed to study salivary antioxidant capacity and magnesium in patients with GAD in an anxiety model of solving problems with increasing complexity. The study subgroup consisted of 15 patients with GAD, and 17 healthy volunteers of the same age made up the control subgroup. Participants took a test with six levels of difficulty, which included false feedback. In this test, the participants were asked to remember the colors of balloons and react when the color changed. The reaction time, the number of correct answers, as well as biochemical parameters such as the antioxidant capacity of saliva and salivary magnesium, were assessed. There was no difference in the results of the quest between the subgroups; however, anxious participants spent more time at the moment of experimental frustration due to incorrect feedback and additional negative psycho-emotional load. Antioxidant capacity did not differ between the subgroups both before and after the experimental session. Average antioxidant capacity also did not change significantly at the endpoint of the experiment. However, the endpoint antioxidant capacity correlated negatively with the reaction time in anxious patients in the second block (where the false feedback as a frustrating factor appeared). Magnesium was initially significantly higher in the group of anxious participants and decreased at the experiment endpoint; in healthy patients, there were no changes in salivary magnesium at the endpoint. In conclusion, the compensatory potential of oxidative metabolism and magnesium in patients with GAD was spent with additional psycho-emotional stress, in contrast to healthy individuals, but it was sufficient to avoid exhaustion during experimental frustrating exposure.
Collapse
|
25
|
A Preliminary Pilot Study: Metabolomic Analysis of Saliva in Oral Candidiasis. Metabolites 2022; 12:metabo12121294. [PMID: 36557332 PMCID: PMC9786753 DOI: 10.3390/metabo12121294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/15/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
Early detection of oral candidiasis is essential. However, most currently available methods are time-consuming and useful only for screening patients. Previous studies on the relationship between oral candidiasis and saliva have focused on saliva volume and not on its components. Therefore, to clarify the effects of oral candidiasis on salivary metabolites, the relationship between salivary components and oral candidiasis was investigated by comparing the salivary metabolites of oral candidiasis patients and those not previously diagnosed with candidiasis. Forty-five participants visiting our university hospital were included and classified into two groups, the Candida group and the control group, based on the Candida detection test results. The unstimulated saliva was collected using the spitting method over 15 min, and the stimulated saliva was collected using the gum-chewing method over 10 min. The saliva volume was measured, and the saliva samples were frozen and analyzed metabolomically. Metabolome analysis revealed 51 metabolites with peak detection rates exceeding 50%. There was no significant difference in age and sex between the Candida and control groups. In the Candida group, five metabolites (tyrosine, choline, phosphoenolpyruvate, histidine, and 6-phosphogluconate) were significantly elevated in the unstimulated, two (octanoic acid and uridine monophosphate(UMP)) were significantly increased, and four (ornithine, butyrate, aminovalerate and aminolevulinate) were significantly decreased in the stimulated saliva. This study suggests the possibility of identifying metabolites specific to patients with oral candidiasis, which could aid prompt diagnosis.
Collapse
|
26
|
Nam M, Jo SR, Park JH, Kim MS. Evaluation of critical factors in the preparation of saliva sample from healthy subjects for metabolomics. J Pharm Biomed Anal 2022; 223:115145. [DOI: 10.1016/j.jpba.2022.115145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 11/02/2022] [Accepted: 11/04/2022] [Indexed: 11/07/2022]
|
27
|
Wei Y, Shi M, Nie Y, Wang C, Sun F, Jiang W, Hu W, Wu X. Integrated analysis of the salivary microbiome and metabolome in chronic and aggressive periodontitis: A pilot study. Front Microbiol 2022; 13:959416. [PMID: 36225347 PMCID: PMC9549375 DOI: 10.3389/fmicb.2022.959416] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/06/2022] [Indexed: 11/23/2022] Open
Abstract
This pilot study was designed to identify the salivary microbial community and metabolic characteristics in patients with generalized periodontitis. A total of 36 saliva samples were collected from 13 patients with aggressive periodontitis (AgP), 13 patients with chronic periodontitis (ChP), and 10 subjects with periodontal health (PH). The microbiome was evaluated using 16S rRNA gene high-throughput sequencing, and the metabolome was accessed using gas chromatography-mass spectrometry. The correlation between microbiomes and metabolomics was analyzed by Spearman’s correlation method. Our results revealed that the salivary microbial community and metabolite composition differed significantly between patients with periodontitis and healthy controls. Striking differences were found in the composition of salivary metabolites between AgP and ChP. The genera Treponema, Peptococcus, Catonella, Desulfobulbus, Peptostreptococcaceae_[XI] ([G-2], [G-3] [G-4], [G-6], and [G-9]), Bacteroidetes_[G-5], TM7_[G-5], Dialister, Eikenella, Fretibacterium, and Filifactor were present in higher levels in patients with periodontitis than in the healthy participants. The biochemical pathways that were significantly different between ChP and AgP included pyrimidine metabolism; alanine, aspartate, and glutamate metabolism; beta-alanine metabolism; citrate cycle; and arginine and proline metabolism. The differential metabolites between ChP and AgP groups, such as urea, beta-alanine, 3-aminoisobutyric acid, and thymine, showed the most significant correlations with the genera. These differential microorganisms and metabolites may be used as potential biomarkers to monitor the occurrence and development of periodontitis through the utilization of non-invasive and convenient saliva samples. This study reveals the integration of salivary microbial data and metabolomic data, which provides a foundation to further explore the potential mechanism of periodontitis.
Collapse
Affiliation(s)
- Yiping Wei
- Department of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, China
| | - Meng Shi
- Department of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, China
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yong Nie
- Laboratory of Environmental Microbiology, Department of Energy and Resources Engineering, College of Engineering, Peking University, Beijing, China
| | - Cui Wang
- Department of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, China
| | - Fei Sun
- Department of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, China
| | - Wenting Jiang
- Department of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, China
| | - Wenjie Hu
- Department of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, NHC Research Center of Engineering and Technology for Computerized Dentistry, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Beijing, China
- *Correspondence: Wenjie Hu,
| | - Xiaolei Wu
- Laboratory of Environmental Microbiology, Department of Energy and Resources Engineering, College of Engineering, Peking University, Beijing, China
| |
Collapse
|
28
|
Caruntu A, Scheau C, Codrici E, Popescu ID, Calenic B, Caruntu C, Tanase C. The Assessment of Serum Cytokines in Oral Squamous Cell Carcinoma Patients: An Observational Prospective Controlled Study. J Clin Med 2022; 11:5398. [PMID: 36143043 PMCID: PMC9503270 DOI: 10.3390/jcm11185398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/28/2022] [Accepted: 09/12/2022] [Indexed: 11/16/2022] Open
Abstract
Background: The oral squamous cell carcinoma (OSCC) tumor microenvironment (TME) is a complex interweb of cells and mediators balancing carcinogenesis, inflammation, and the immune response. However, cytokines are not only secreted within the TME but also released by a variety of other cells that do not comprise the TME; therefore, a thorough assessment of humoral changes in OSCC should include the measurement of serum cytokines. Methods: We assessed the role of various serum cytokines in the evolution of OSCC, before and after treatment, versus a control group. We measured the serum concentrations of MIP-1α, IL-1β, IL-4, IL-6, IL-8, IL-10, and TNF-α. Results: Significantly higher values (p < 0.01) were noted for IL-1β, IL-6, IL-8, IL-10, and TNF-α in the OSCC group before treatment (n = 13) compared with the control group (n = 14), and the increased concentrations persisted after treatment (n = 11). Furthermore, the variations in the values of MIP-1α, IL-1β, IL-10, and TNF-α are correlated both before and after treatment (p < 0.01). In the pretherapeutic group, IL-6 and IL-8 concentrations also correlate with IL-1β and IL-10 serum levels (p < 0.01), while in the posttherapeutic group, IL-4 varies with MIP-1α and TNF-α (p < 0.01). Conclusion: In OSCC patients, serum cytokine levels are significantly higher compared with control, but they are not significantly altered by treatment, therefore implying that they are also influenced by systemic factors. The interactions between all involved cytokines and the various pathways they regulate warrant further studies to clarify their definitive roles.
Collapse
Affiliation(s)
- Ana Caruntu
- Department of Oral and Maxillofacial Surgery, “Carol Davila” Central Military Emergency Hospital, 010825 Bucharest, Romania
- Department of Oral and Maxillofacial Surgery, Faculty of Dental Medicine, “Titu Maiorescu” University, 031593 Bucharest, Romania
| | - Cristian Scheau
- Department of Physiology, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
| | - Elena Codrici
- Biochemistry-Proteomic Laboratory, Victor Babes National Institute of Pathology, 050096 Bucharest, Romania
| | - Ionela Daniela Popescu
- Biochemistry-Proteomic Laboratory, Victor Babes National Institute of Pathology, 050096 Bucharest, Romania
| | - Bogdan Calenic
- Centre for Immunogenetics and Virology, Fundeni Clinical Institute, Carol Davila University of Medicine and Pharmacy, 258 Fundeni Road, 022328 Bucharest, Romania
| | - Constantin Caruntu
- Department of Physiology, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Dermatology, Prof. N.C. Paulescu National Institute of Diabetes, Nutrition and Metabolic Diseases, 011233 Bucharest, Romania
| | - Cristiana Tanase
- Biochemistry-Proteomic Laboratory, Victor Babes National Institute of Pathology, 050096 Bucharest, Romania
- Department of Molecular Biology, Faculty of Medicine, “Titu Maiorescu” University, 031593 Bucharest, Romania
| |
Collapse
|
29
|
Ye L, Dai Q, Hou F, Wu C, Qiu X, Yuan P, Chen F, Meng Y, Feng X, Jiang L. Salivary metabolomics of burning mouth syndrome: A cross-sectional study. Arch Oral Biol 2022; 144:105552. [DOI: 10.1016/j.archoralbio.2022.105552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/09/2022] [Accepted: 09/22/2022] [Indexed: 11/16/2022]
|
30
|
Bencharit S, Carlson J, Byrd WC, Howard-Williams EL, Seagroves JT, McRitchie S, Buse JB, Sumner S. Salivary Metabolomics of Well and Poorly Controlled Type 1 and Type 2 Diabetes. Int J Dent 2022; 2022:7544864. [PMID: 36059915 PMCID: PMC9433218 DOI: 10.1155/2022/7544864] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 07/31/2022] [Accepted: 08/01/2022] [Indexed: 11/18/2022] Open
Abstract
Objective The concentrations of endogenous metabolites in saliva can be altered based on the systemic condition of the hosts and may, in theory, serve as a reflection of systemic disease progression. Hemoglobin A1C is used clinically to measure long-term average glycemic control. The aim of the study was to demonstrate if there were differences in the salivary metabolic profiles between well and poorly controlled type 1 and type 2 subjects with diabetes. Subjects and Methods. Subjects with type 1 and type 2 diabetes were enrolled (n = 40). The subjects were assigned to phenotypic groups based on their current level of A1C: <7 = well-controlled and >7 = poorly controlled. Demographic data, age, gender, and ethnicity, were used to match the two phenotypic groups. Whole saliva samples were collected and immediately stored at -80°C. Samples were spiked using an isotopically labeled internal standard and analyzed by UPLC-TOF-MS using a Waters SYNAPT G2-Si mass spectrometer. Results Unsupervised principal components analysis (PCA) and orthogonal partial least squares regression discrimination analysis (OPLS-DA) were used to define unique metabolomic profiles associated with well and poorly controlled diabetes based on A1C levels. Conclusion OPLS-DA demonstrates good separation of well and poorly controlled in both type 1 and type 2 diabetes. This provides evidence for developing saliva-based monitoring tools for diabetes.
Collapse
Affiliation(s)
- Sompop Bencharit
- Department of Oral and Craniofacial Molecular Biology, School of Dentistry, Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA
| | - James Carlson
- Systems and Translational Sciences, RTI International, Research Triangle Park, Chapel Hill, NC, USA
| | - Warren C. Byrd
- School of Dentistry, University of North Carolina, Chapel Hill, NC, USA
| | | | - Jackson T. Seagroves
- Department of Oral and Craniofacial Molecular Biology, School of Dentistry, Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, USA
| | - Susan McRitchie
- Systems and Translational Sciences, RTI International, Research Triangle Park, Chapel Hill, NC, USA
- Nutritional Research Institute, University of North Carolina, Chapel Hill, NC, USA
| | - John B. Buse
- Department of Internal Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Susan Sumner
- Systems and Translational Sciences, RTI International, Research Triangle Park, Chapel Hill, NC, USA
- Nutritional Research Institute, University of North Carolina, Chapel Hill, NC, USA
| |
Collapse
|
31
|
Koopaie M, Kolahdooz S, Fatahzadeh M, Manifar S. Salivary biomarkers in breast cancer diagnosis: A systematic review and diagnostic meta-analysis. Cancer Med 2022; 11:2644-2661. [PMID: 35315584 PMCID: PMC9249990 DOI: 10.1002/cam4.4640] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/25/2021] [Accepted: 01/02/2022] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Salivary diagnostics and their utility as a nonaggressive approach for breast cancer diagnosis have been extensively studied in recent years. This meta-analysis assesses the diagnostic value of salivary biomarkers in differentiating between patients with breast cancer and controls. METHODS We conducted a meta-analysis and systematic review of studies related to salivary diagnostics published in PubMed, EMBASE, Scopus, Ovid, Science Direct, Web of Science (WOS), and Google Scholar. The articles were chosen utilizing inclusion and exclusion criteria, as well as assessing their quality. Specificity and sensitivity, along with negative and positive likelihood ratios (NLR and PLR) and diagnostic odds ratio (DOR), were calculated based on random- or fixed-effects model. Area under the curve (AUC) and summary receiver-operating characteristic (SROC) were plotted and evaluated, and Fagan's Nomogram was evaluated for clinical utility. RESULTS Our systematic review and meta-analysis included 14 papers containing 121 study units with 8639 adult subjects (4149 breast cancer patients and 4490 controls without cancer). The pooled specificity and sensitivity were 0.727 (95% CI: 0.713-0.740) and 0.717 (95% CI: 0.703-0.730), respectively. The pooled NLR and PLR were 0.396 (95% CI: 0.364-0.432) and 2.597 (95% CI: 2.389-2.824), respectively. The pooled DOR was 7.837 (95% CI: 6.624-9.277), with the AUC equal to 0.801. The Fagan's nomogram showed post-test probabilities of 28% and 72% for negative and positive outcomes, respectively. We also conducted subgroup analyses to determine specificity, sensitivity, DOR, PLR, and NLR based on the mean age of patients (≤52 or >52 years old), saliva type (stimulated and unstimulated saliva), biomarker measurement method (mass spectrometry [MS] and non-MS measurement methods), sample size (≤55 or >55), biomarker type (proteomics, metabolomics, transcriptomics and proteomics, and reagent-free biophotonic), and nations. CONCLUSION Saliva, as a noninvasive biomarker, has the potential to accurately differentiate breast cancer patients from healthy controls.
Collapse
Affiliation(s)
| | | | - Mahnaz Fatahzadeh
- Department of Diagnostic SciencesRutgers School of Dental MedicineNewarkNew JerseyUSA
| | - Soheila Manifar
- Tehran University of Medical SciencesTehranIran
- Cancer Research Center, Cancer Institute of IranTehranIran
| |
Collapse
|
32
|
Kuwabara H, Katsumata K, Iwabuchi A, Udo R, Tago T, Kasahara K, Mazaki J, Enomoto M, Ishizaki T, Soya R, Kaneko M, Ota S, Enomoto A, Soga T, Tomita M, Sunamura M, Tsuchida A, Sugimoto M, Nagakawa Y. Salivary metabolomics with machine learning for colorectal cancer detection. Cancer Sci 2022; 113:3234-3243. [PMID: 35754317 PMCID: PMC9459332 DOI: 10.1111/cas.15472] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 06/07/2022] [Accepted: 06/15/2022] [Indexed: 11/29/2022] Open
Abstract
As the worldwide prevalence of colorectal cancer (CRC) increases, it is vital to reduce its morbidity and mortality through early detection. Saliva‐based tests are an ideal noninvasive tool for CRC detection. Here, we explored and validated salivary biomarkers to distinguish patients with CRC from those with adenoma (AD) and healthy controls (HC). Saliva samples were collected from patients with CRC, AD, and HC. Untargeted salivary hydrophilic metabolite profiling was conducted using capillary electrophoresis–mass spectrometry and liquid chromatography–mass spectrometry. An alternative decision tree (ADTree)‐based machine learning (ML) method was used to assess the discrimination abilities of the quantified metabolites. A total of 2602 unstimulated saliva samples were collected from subjects with CRC (n = 235), AD (n = 50), and HC (n = 2317). Data were randomly divided into training (n = 1301) and validation datasets (n = 1301). The clustering analysis showed a clear consistency of aberrant metabolites between the two groups. The ADTree model was optimized through cross‐validation (CV) using the training dataset, and the developed model was validated using the validation dataset. The model discriminating CRC + AD from HC showed area under the receiver‐operating characteristic curves (AUC) of 0.860 (95% confidence interval [CI]: 0.828‐0.891) for CV and 0.870 (95% CI: 0.837‐0.903) for the validation dataset. The other model discriminating CRC from AD + HC showed an AUC of 0.879 (95% CI: 0.851‐0.907) and 0.870 (95% CI: 0.838‐0.902), respectively. Salivary metabolomics combined with ML demonstrated high accuracy and versatility in detecting CRC.
Collapse
Affiliation(s)
- Hiroshi Kuwabara
- Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan
| | - Kenji Katsumata
- Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan
| | - Atsuhiro Iwabuchi
- Center for Health Surveillance and Preventive Medicine, Tokyo Medical University Hospital, Tokyo, Japan
| | - Ryutaro Udo
- Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan
| | - Tomoya Tago
- Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan
| | - Kenta Kasahara
- Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan
| | - Junichi Mazaki
- Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan
| | - Masanobu Enomoto
- Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan
| | - Tetsuo Ishizaki
- Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan
| | - Ryoko Soya
- Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan
| | - Miku Kaneko
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Sana Ota
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Ayame Enomoto
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Masaru Tomita
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Makoto Sunamura
- Digestive Surgery and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, Tokyo, Japan
| | - Akihiko Tsuchida
- Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan
| | - Masahiro Sugimoto
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.,Research and Development Center for Minimally Invasive Therapies Health Promotion and Preemptive Medicine, Tokyo Medical University, Shinjuku, Tokyo, Japan
| | - Yuichi Nagakawa
- Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan
| |
Collapse
|
33
|
Abstract
Our world is at a turning point with biological and social pathogens wreaking havoc at the same time that science and technology are exploding with new discoveries. It is a pivotal time for the new report Oral Health in America: Advances and Challenges to be released and a pivotal time for our profession to take action and lead. The art, science, and practice of dentistry is very different from 20 y ago when the original Surgeon General's report was released. We are on the precipice of individualized health care where providers will collaborate to deliver diagnostics and therapeutics that are data driven and inclusive of the social determinants of health. To move forward with alacrity requires a strong scientific foundation, effective educational approaches, an understanding of the upstream determinants of health, and partnerships across the health professions and beyond. Oral health has never been more important, and now is the time for our profession to further develop, elevate, and translate the science into practice and policy to improve the nation's health.
Collapse
Affiliation(s)
- L K McCauley
- School of Dentistry, University of Michigan, Ann Arbor, MI, USA
| | - M Robinson
- School of Dentistry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - R N D'Souza
- National Institutes of Health, National Institute of Dental and Craniofacial Research, Bethesda, MD, USA
| |
Collapse
|
34
|
Panneerselvam K, Ishikawa S, Krishnan R, Sugimoto M. Salivary Metabolomics for Oral Cancer Detection: A Narrative Review. Metabolites 2022; 12:metabo12050436. [PMID: 35629940 PMCID: PMC9144467 DOI: 10.3390/metabo12050436] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/07/2022] [Accepted: 05/11/2022] [Indexed: 12/24/2022] Open
Abstract
The development of low- or non-invasive screening tests for cancer is crucial for early detection. Saliva is an ideal biofluid containing informative components for monitoring oral and systemic diseases. Metabolomics has frequently been used to identify and quantify numerous metabolites in saliva samples, serving as novel biomarkers associated with various conditions, including cancers. This review summarizes the recent applications of salivary metabolomics in biomarker discovery in oral cancers. We discussed the prevalence, epidemiologic characteristics, and risk factors of oral cancers, as well as the currently available screening programs, in India and Japan. These data imply that the development of biomarkers by itself is inadequate in cancer detection. The use of current diagnostic methods and new technologies is necessary for efficient salivary metabolomics analysis. We also discuss the gap between biomarker discovery and nationwide screening for the early detection of oral cancer and its prevention.
Collapse
Affiliation(s)
- Karthika Panneerselvam
- Department of Oral Pathology and Microbiology, Karpaga Vinayaga Institute of Dental Sciences, GST Road, Chinna Kolambakkam, Palayanoor PO, Madurantagam Taluk, Kancheepuram 603308, Tamil Nadu, India;
| | - Shigeo Ishikawa
- Department of Dentistry, Oral and Maxillofacial Plastic and Reconstructive Surgery, Faculty of Medicine, Yamagata University, Yamagata 990-9585, Japan;
| | - Rajkumar Krishnan
- Department of Oral Pathology, SRM Dental College, Bharathi Salai, Ramapuram, Chennai 600089, Tamil Nadu, India;
| | - Masahiro Sugimoto
- Institute of Medical Research, Tokyo Medical University, Tokyo 160-0022, Japan
- Institute for Advanced Biosciences, Keio University, Yamagata 997-0811, Japan
- Correspondence: ; Tel.: +81-235-29-0528
| |
Collapse
|
35
|
Salivary inflammatory mediators as biomarkers for oral mucositis and oral mucosal dryness in cancer patients: A pilot study. PLoS One 2022; 17:e0267092. [PMID: 35476641 PMCID: PMC9045655 DOI: 10.1371/journal.pone.0267092] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 04/01/2022] [Indexed: 12/31/2022] Open
Abstract
Oral mucositis (OM) is a common side effect in patients with cancer receiving chemotherapy and radiotherapy; however, no salivary mediator is known to be associated with OM. We aimed to determine candidate salivary inflammatory mediators potentially associated with OM in patients with cancer. To this end, we compared the relationships between OM grade, oral mucosal dryness, and inflammatory mediators (Interleukin (IL)-1β, IL-6, IL-10, IL-12p70, tumor necrosis factor (TNF), prostaglandin E2, and vascular endothelial growth factor) in patients with cancer and in healthy volunteers (HV). We collected saliva samples from 18 patients with cancer according to the following schedule: 1) within 14 days of treatment initiation, 2) within 3 days of OM occurrence, 3) when OM was improved or got worsened, and 4) within 7 days after chemotherapy completion. The oral care support team determined the OM grade at each sample collection point based on CTCAE version 5.0. Salivary inflammatory mediator concentrations were detected using cytometric bead array or enzyme-linked immunoassay. We compared oral mucosal dryness in pre- and post-index patients with cancer to that in HV (n = 33) using an oral moisture-checking device. Fourteen of eighteen patients experienced OM (four, grade 3 OM; four, grade 2 OM; six, grade 1 OM). IL-6, IL-10, and TNF salivary concentrations were significantly increased in the post-index group compared to those in the pre-index group (p = 0.0002, p = 0.0364, and p = 0.0160, respectively). Additionally, salivary IL-6, IL-10, and TNF levels were significantly higher in the post-index group than in the HV group (p < 0.0001, p < 0.05, and p < 0.05, respectively). Significant positive correlations were observed between OM grade and salivary IL-6, IL-10, and TNF levels (p = 0.0004, r = 0.4939; p = 0.0171, r = 0.3394; and p = 0007, r = 0.4662, respectively). Oral mucosal dryness was significantly higher in the HV than in the pre- and post-index groups (p < 0.001). Our findings suggest that salivary IL-6, IL-10, and TNF levels may be used as biomarkers for OM occurrence and grade in patients with cancer. Furthermore, monitoring oral mucosal dryness and managing oral hygiene before cancer treatment is essential.
Collapse
|
36
|
Inchingolo AD, Malcangi G, Inchingolo AM, Piras F, Settanni V, Garofoli G, Palmieri G, Ceci S, Patano A, De Leonardis N, Di Pede C, Montenegro V, Azzollini D, Garibaldi MG, Kruti Z, Tarullo A, Coloccia G, Mancini A, Rapone B, Semjonova A, Hazballa D, D’Oria MT, Jones M, Macchia L, Bordea IR, Scarano A, Lorusso F, Tartaglia GM, Maspero C, Del Fabbro M, Nucci L, Ferati K, Ferati AB, Brienza N, Corriero A, Inchingolo F, Dipalma G. Benefits and Implications of Resveratrol Supplementation on Microbiota Modulations: A Systematic Review of the Literature. Int J Mol Sci 2022; 23:4027. [PMID: 35409389 PMCID: PMC8999966 DOI: 10.3390/ijms23074027] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/24/2022] [Accepted: 03/31/2022] [Indexed: 01/27/2023] Open
Abstract
Resveratrol is a polyphenol that has been shown to possess many applications in different fields of medicine. This systematic review has drawn attention to the axis between resveratrol and human microbiota, which plays a key role in maintaining an adequate immune response that can lead to different diseases when compromised. Resveratrol can also be an asset in new technologies, such as gene therapy. PubMed, Cochrane Library, Scopus, Web of Science, and Google Scholar were searched to find papers that matched our topic dating from 1 January 2017 up to 18 January 2022, with English-language restriction using the following Boolean keywords: ("resveratrol" AND "microbio*"). Eighteen studies were included as relevant papers matching the purpose of our investigation. Immune response, prevention of thrombotic complications, microbiota, gene therapy, and bone regeneration were retrieved as the main topics. The analyzed studies mostly involved resveratrol supplementation and its effects on human microbiota by trials in vitro, in vivo, and ex vivo. The beneficial activity of resveratrol is evident by analyzing the changes in the host's genetic expression and the gastrointestinal microbial community with its administration. The possibility of identifying individual microbial families may allow to tailor therapeutic plans with targeted polyphenolic diets when associated with microbial dysbiosis, such as inflammatory diseases of the gastrointestinal tract, degenerative diseases, tumors, obesity, diabetes, bone tissue regeneration, and metabolic syndrome.
Collapse
Affiliation(s)
- Alessio Danilo Inchingolo
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Giuseppina Malcangi
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Angelo Michele Inchingolo
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Fabio Piras
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Vito Settanni
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Grazia Garofoli
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Giulia Palmieri
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Sabino Ceci
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Assunta Patano
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Nicole De Leonardis
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Chiara Di Pede
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Valentina Montenegro
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Daniela Azzollini
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Maria Grazia Garibaldi
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Zamira Kruti
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Antonella Tarullo
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Giovanni Coloccia
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Antonio Mancini
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Biagio Rapone
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Alexandra Semjonova
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Denisa Hazballa
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
- Kongresi Elbasanit, Aqif Pasha, Rruga, 3001 Elbasan, Albania
| | - Maria Teresa D’Oria
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
- Department of Medical and Biological Sciences, University of Udine, Via delle Scienze, 206, 33100 Udine, Italy
| | - Megan Jones
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Luigi Macchia
- Department of Emergency and Organ Transplantation (D.E.T.O.), University of Bari “Aldo Moro”, 70121 Bari, Italy;
| | - Ioana Roxana Bordea
- Department of Oral Rehabilitation, Faculty of Dentistry, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Antonio Scarano
- Department of Innovative Technologies in Medicine and Dentistry, University of Chieti-Pescara, 66100 Chieti, Italy;
| | - Felice Lorusso
- Department of Innovative Technologies in Medicine and Dentistry, University of Chieti-Pescara, 66100 Chieti, Italy;
| | - Gianluca Martino Tartaglia
- Department of Biomedical, Surgical and Dental Sciences, School of Dentistry, University of Milan, 20122 Milan, Italy; (G.M.T.); (C.M.); (M.D.F.)
- UOC Maxillo-Facial Surgery and Dentistry, Fondazione IRCCS Ca Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Cinzia Maspero
- Department of Biomedical, Surgical and Dental Sciences, School of Dentistry, University of Milan, 20122 Milan, Italy; (G.M.T.); (C.M.); (M.D.F.)
- UOC Maxillo-Facial Surgery and Dentistry, Fondazione IRCCS Ca Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Massimo Del Fabbro
- Department of Biomedical, Surgical and Dental Sciences, School of Dentistry, University of Milan, 20122 Milan, Italy; (G.M.T.); (C.M.); (M.D.F.)
- IRCCS Orthopedic Institute Galeazzi, 20161 Milan, Italy
| | - Ludovica Nucci
- Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania Luigi Vanvitelli, Via Luigi de Crecchio, 6, 80138 Naples, Italy;
| | - Kenan Ferati
- Faculty of Medical Sciences, University of Tetovo, 1220 Tetovo, North Macedonia; (K.F.); (A.B.F.)
| | - Arberesha Bexheti Ferati
- Faculty of Medical Sciences, University of Tetovo, 1220 Tetovo, North Macedonia; (K.F.); (A.B.F.)
| | - Nicola Brienza
- Unit of Anesthesia and Resuscitation, Department of Emergencies and Organ Transplantations, Aldo Moro University, 70124 Bari, Italy; (N.B.); (A.C.)
| | - Alberto Corriero
- Unit of Anesthesia and Resuscitation, Department of Emergencies and Organ Transplantations, Aldo Moro University, 70124 Bari, Italy; (N.B.); (A.C.)
| | - Francesco Inchingolo
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| | - Gianna Dipalma
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70121 Bari, Italy; (A.D.I.); (G.M.); (A.M.I.); (F.P.); (V.S.); (G.G.); (G.P.); (S.C.); (A.P.); (N.D.L.); (C.D.P.); (V.M.); (D.A.); (M.G.G.); (Z.K.); (A.T.); (G.C.); (A.M.); (B.R.); (A.S.); (D.H.); (M.T.D.); (M.J.); (F.I.); (G.D.)
| |
Collapse
|
37
|
Nijakowski K, Gruszczyński D, Kopała D, Surdacka A. Salivary Metabolomics for Oral Squamous Cell Carcinoma Diagnosis: A Systematic Review. Metabolites 2022; 12:metabo12040294. [PMID: 35448481 PMCID: PMC9029144 DOI: 10.3390/metabo12040294] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/14/2022] [Accepted: 03/25/2022] [Indexed: 02/07/2023] Open
Abstract
Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer in which the consumption of tobacco and alcohol is considered to be the main aetiological factor. Salivary metabolome profiling could identify novel biochemical pathways involved in the pathogenesis of various diseases. This systematic review was designed to answer the question “Are salivary metabolites reliable for the diagnosis of oral squamous cell carcinoma?”. Following the inclusion and exclusion criteria, nineteen studies were included (according to PRISMA statement guidelines). In all included studies, the diagnostic material was unstimulated whole saliva, whose metabolome changes were determined by different spectroscopic methods. At the metabolic level, OSCC patients differed significantly not only from healthy subjects but also from patients with oral leukoplakia, lichen planus or other oral potentially malignant disorders. Among the detected salivary metabolites, there were the indicators of the impaired metabolic pathways, such as choline metabolism, amino acid pathways, polyamine metabolism, urea cycle, creatine metabolism, glycolysis or glycerolipid metabolism. In conclusion, saliva contains many potential metabolites, which can be used reliably to early diagnose and monitor staging in patients with OSCC. However, further investigations are necessary to confirm these findings and to identify new salivary metabolic biomarkers.
Collapse
Affiliation(s)
- Kacper Nijakowski
- Department of Conservative Dentistry and Endodontics, Poznan University of Medical Sciences, 60-812 Poznan, Poland;
- Correspondence:
| | - Dawid Gruszczyński
- Student’s Scientific Group, Department of Conservative Dentistry and Endodontics, Poznan University of Medical Sciences, 60-812 Poznan, Poland; (D.G.); (D.K.)
| | - Dariusz Kopała
- Student’s Scientific Group, Department of Conservative Dentistry and Endodontics, Poznan University of Medical Sciences, 60-812 Poznan, Poland; (D.G.); (D.K.)
| | - Anna Surdacka
- Department of Conservative Dentistry and Endodontics, Poznan University of Medical Sciences, 60-812 Poznan, Poland;
| |
Collapse
|