1
|
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
|
2
|
Zhou Y, Liu Z. Saliva biomarkers in oral disease. Clin Chim Acta 2023; 548:117503. [PMID: 37536520 DOI: 10.1016/j.cca.2023.117503] [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: 04/23/2023] [Revised: 07/26/2023] [Accepted: 07/31/2023] [Indexed: 08/05/2023]
Abstract
Saliva is a versatile biofluid that contains a wide variety of biomarkers reflecting both physiologic and pathophysiologic states. Saliva collection is noninvasive and highly applicable for tests requiring serial sampling. Furthermore, advances in test accuracy, sensitivity and precision for saliva has improved diagnostic performance as well as the identification of novel markers especially in oral disease processes. These include dental caries, periodontitis, oral squamous cell carcinoma (OSCC) and Sjögren's syndrome (SS). Numerous growth factors, enzymes, interleukins and cytokines have been identified and are the subject of much research investigation. This review highlights current procedures for successful determination of saliva biomarkers including preanalytical factors associated with sampling, storage and pretreatment as well as subsequent analysis. Moreover, it provides an overview of the diagnostic applications of these salivary biomarkers in common oral diseases.
Collapse
Affiliation(s)
- Yuehong Zhou
- Wenzhou Medical University Renji College, Wenzhou, China
| | - Zhenqi Liu
- Department of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
| |
Collapse
|
3
|
van Zyl CDW, van Reenen M, Osthoff G, du Preez I. Evaluation of BAYESIL for automated annotation of 1H NMR data using limited sample volumes: application to African elephant serum. Metabolomics 2023; 19:31. [PMID: 36995481 PMCID: PMC10063514 DOI: 10.1007/s11306-023-02001-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 03/22/2023] [Indexed: 03/31/2023]
Abstract
INTRODUCTION Technological advancements enabled the analyses of limited sample volumes on 1H NMR. Manual spectral profiling of the data is, however, complex, and timely. OBJECTIVE To evaluate the performance of BAYESIL for automated identification and quantification of 1H NMR spectra of limited volume samples. METHOD Aliquots of a pooled African elephant serum sample were analyzed using standard and reduced volumes. Performance was evaluated on confidence scores, non-detects and laboratory CV. RESULTS Of the 47 compounds detected, 28 had favorable performances. The approach could differentiate samples based on biological variation. CONCLUSIONS BAYESIL is valuable for limited sample 1H NMR data analyses.
Collapse
Affiliation(s)
| | - Mari van Reenen
- Centre for Human Metabolomics, North-West University, Potchefstroom, South Africa
| | - Gernot Osthoff
- Department of Microbiology and Biochemistry, University of the Free State, Bloemfontein, South Africa
| | - Ilse du Preez
- Centre for Human Metabolomics, North-West University, Potchefstroom, South Africa.
| |
Collapse
|
4
|
Koster HJ, Guillen-Perez A, Gomez-Diaz JS, Navas-Moreno M, Birkeland AC, Carney RP. Fused Raman spectroscopic analysis of blood and saliva delivers high accuracy for head and neck cancer diagnostics. Sci Rep 2022; 12:18464. [PMID: 36323705 PMCID: PMC9630497 DOI: 10.1038/s41598-022-22197-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 10/11/2022] [Indexed: 11/25/2022] Open
Abstract
As a rapid, label-free, non-destructive analytical measurement requiring little to no sample preparation, Raman spectroscopy shows great promise for liquid biopsy cancer detection and diagnosis. We carried out Raman analysis and mass spectrometry of plasma and saliva from more than 50 subjects in a cohort of head and neck cancer patients and benign controls (e.g., patients with benign oral masses). Unsupervised data models were built to assess diagnostic performance. Raman spectra collected from either biofluid provided moderate performance to discriminate cancer samples. However, by fusing together the Raman spectra of plasma and saliva for each patient, subsequent analytical models delivered an impressive sensitivity, specificity, and accuracy of 96.3%, 85.7%, and 91.7%, respectively. We further confirmed that the metabolites driving the differences in Raman spectra for our models are among the same ones that drive mass spectrometry models, unifying the two techniques and validating the underlying ability of Raman to assess metabolite composition. This study bolsters the relevance of Raman to provide additive value by probing the unique chemical compositions across biofluid sources. Ultimately, we show that a simple data augmentation routine of fusing plasma and saliva spectra provided significantly higher clinical value than either biofluid alone, pushing forward the potential of clinical translation of Raman spectroscopy for liquid biopsy cancer diagnostics.
Collapse
Affiliation(s)
- Hanna J. Koster
- grid.27860.3b0000 0004 1936 9684Biomedical Engineering, University of California, Davis, CA USA
| | - Antonio Guillen-Perez
- grid.27860.3b0000 0004 1936 9684Electrical and Computer Engineering, University of California, Davis, CA USA
| | - Juan Sebastian Gomez-Diaz
- grid.27860.3b0000 0004 1936 9684Electrical and Computer Engineering, University of California, Davis, CA USA
| | | | - Andrew C. Birkeland
- grid.27860.3b0000 0004 1936 9684Department of Otolaryngology, University of California, CA Davis, USA
| | - Randy P. Carney
- grid.27860.3b0000 0004 1936 9684Biomedical Engineering, University of California, Davis, CA USA
| |
Collapse
|
5
|
MALDI Mass Spectrometry Imaging Highlights Specific Metabolome and Lipidome Profiles in Salivary Gland Tumor Tissues. Metabolites 2022; 12:metabo12060530. [PMID: 35736462 PMCID: PMC9228942 DOI: 10.3390/metabo12060530] [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: 05/08/2022] [Revised: 05/27/2022] [Accepted: 06/06/2022] [Indexed: 12/14/2022] Open
Abstract
Salivary gland tumors are relatively uncommon neoplasms that represent less than 5% of head and neck tumors, and about 90% are in the parotid gland. The wide variety of histologies and tumor characteristics makes diagnosis and treatment challenging. In the present study, Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) was used to discriminate the pathological regions of patient-derived biopsies of parotid neoplasms by metabolomic and lipidomic profiles. Fresh frozen parotid tissues were analyzed by MALDI time-of-flight (TOF) MSI, both in positive and negative ionization modes, and additional MALDI-Fourier-transform ion cyclotron resonance (FT-ICR) MSI was carried out for metabolite annotation. MALDI-TOF-MSI spatial segmentation maps with different molecular signatures were compared with the histologic annotation. To maximize the information related to specific alterations between the pathological and healthy tissues, unsupervised (principal component analysis, PCA) and supervised (partial least squares-discriminant analysis, PLS-DA) multivariate analyses were performed presenting a 95.00% accuracy in cross-validation. Glycerophospholipids significantly increased in tumor tissues, while sphingomyelins and triacylglycerols, key players in the signaling pathway and energy production, were sensibly reduced. In addition, a significant increase of amino acids and nucleotide intermediates, consistent with the bioenergetics request of tumor cells, was observed. These results underline the potential of MALDI-MSI as a complementary diagnostic tool to improve the specificity of diagnosis and monitoring of pharmacological therapies.
Collapse
|
6
|
Salivary Metabolomics for Diagnosis and Monitoring Diseases: Challenges and Possibilities. Metabolites 2021; 11:metabo11090587. [PMID: 34564402 PMCID: PMC8469343 DOI: 10.3390/metabo11090587] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/27/2021] [Accepted: 08/28/2021] [Indexed: 12/21/2022] Open
Abstract
Saliva is a useful biological fluid and a valuable source of biological information. Saliva contains many of the same components that can be found in blood or serum, but the components of interest tend to be at a lower concentration in saliva, and their analysis demands more sensitive techniques. Metabolomics is starting to emerge as a viable method for assessing the salivary metabolites which are generated by the biochemical processes in elucidating the pathways underlying different oral and systemic diseases. In oral diseases, salivary metabolomics has concentrated on periodontitis and oral cancer. Salivary metabolites of systemic diseases have been investigated mostly in the early diagnosis of different cancer, but also neurodegenerative diseases. This mini-review article aims to highlight the challenges and possibilities of salivary metabolomics from a clinical viewpoint. Furthermore, applications of the salivary metabolic profile in diagnosis and prognosis, monitoring the treatment success, and planning of personalized treatment of oral and systemic diseases are discussed.
Collapse
|
7
|
Jiang X, Chen X, Chen Z, Yu J, Lou H, Wu J. High-Throughput Salivary Metabolite Profiling on an Ultralow Noise Tip-Enhanced Laser Desorption Ionization Mass Spectrometry Platform for Noninvasive Diagnosis of Early Lung Cancer. J Proteome Res 2021; 20:4346-4356. [PMID: 34342461 DOI: 10.1021/acs.jproteome.1c00310] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Lung cancer (LC) is a widespread cancer that is the cause of the highest mortality rate accounting for 25% of all cancer deaths. To date, most LC patients are diagnosed at the advanced stage owing to the lack of obvious symptoms in the early stage and the limitations of current clinical diagnostic techniques. Therefore, developing a high throughput technique for early screening is of great importance. In this work, we established an effective and rapid salivary metabolic analysis platform for early LC diagnosis and combined metabolomics and transcriptomics to reveal the metabolic fluctuations correlated to LC. Saliva samples were collected from a total of 150 volunteers including 89 patients with early LC, 11 patients with advanced LC, and 50 healthy controls. The metabolic profiling of noninvasive samples was investigated on an ultralow noise TELDI-MS platform. In addition, data normalization methods were screened and assessed to overcome the MS signal variation caused by individual difference for biomarker mining. For untargeted metabolic profiling of saliva samples, around 264 peaks could be reliably detected in each sample. After multivariate analysis, 23 metabolites were sorted out and verified to be related to the dysfunction of the amino acid and nucleotide metabolism in early LC. Notably, transcriptomic data from online TCGA repository were utilized to support findings from the salivary metabolomics experiment, including the disorder of amino acid biosynthesis and amino acid metabolism. Based on the verified differential metabolites, early LC patients could be clearly distinguished from healthy controls with a sensitivity of 97.2% and a specificity of 92%. The ultralow noise TELDI-MS platform displayed satisfactory ability to explore salivary metabolite information and discover potential biomarkers that may help develop a noninvasive screening tool for early LC.
Collapse
Affiliation(s)
- Xinrong Jiang
- Institution of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Xiaoming Chen
- Institution of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou 310058, China.,Well-Healthcare Technologies Co., Hangzhou 310051, China
| | - Zhao Chen
- Department of Thoracic Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Jiekai Yu
- Institute of Cancer Research, The Second Affiliated Hospital of Zhejiang University, Hangzhou 310009, China
| | - Haizhou Lou
- Department of Medical Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Jianmin Wu
- Institution of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| |
Collapse
|
8
|
Marino C, Grimaldi M, Sabatini P, Amato P, Pallavicino A, Ricciardelli C, D’Ursi AM. Fibromyalgia and Depression in Women: An 1H-NMR Metabolomic Study. Metabolites 2021; 11:429. [PMID: 34209136 PMCID: PMC8304744 DOI: 10.3390/metabo11070429] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/15/2021] [Accepted: 06/23/2021] [Indexed: 12/18/2022] Open
Abstract
Fibromyalgia is a chronic and systemic syndrome characterized by muscle, bone, and joint pain. It is a gender-specific condition with a 9:1 incidence ratio between women and men. Fibromyalgia is frequently associated with psychic disorders affecting the cognitive and emotional spheres. In the reported work, we compared 31 female fibromyalgia patients to 31 female healthy controls. They were analyzed for biochemical clinical parameters, for autoimmune markers, and were subjected to 1H-NMR metabolomics analysis. To identify a correlation between the metabolomic profile and the psychic condition, a subset of 19 fibromyalgia patients was subjected to HAM-A and HAM-D Hamilton depression tests. Multivariate statistical analysis showed the dysmetabolism of several metabolites involved in energy balance that are associated with systemic inflammatory conditions. The severity of depression worsens dysmetabolic conditions; conversely, glycine and glutamate, known for their critical role as neuromodulators, appear to be potential biomarkers of fibromyalgia and are associated with different severity depression conditions.
Collapse
Affiliation(s)
- Carmen Marino
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, Italy; (C.M.); (M.G.); (A.P.); (C.R.)
| | - Manuela Grimaldi
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, Italy; (C.M.); (M.G.); (A.P.); (C.R.)
| | - Paola Sabatini
- U.O.C. Clinical Pathology D.E.A. III Umberto I, Viale S. Francesco D’Assisi, 84014 Nocera Inferiore, Italy;
| | - Patrizia Amato
- ASL Ser. T Cava de’ Tirreni, Piazza Matteo Galdi 1/3, 84013 Pregiato, Italy;
| | - Arianna Pallavicino
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, Italy; (C.M.); (M.G.); (A.P.); (C.R.)
| | - Carmen Ricciardelli
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, Italy; (C.M.); (M.G.); (A.P.); (C.R.)
| | - Anna Maria D’Ursi
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano, Italy; (C.M.); (M.G.); (A.P.); (C.R.)
| |
Collapse
|
9
|
Yin G, Huang J, Guo W, Huang Z. Metabolomics of Oral/Head and Neck Cancer. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1280:277-290. [PMID: 33791989 DOI: 10.1007/978-3-030-51652-9_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
Abstract
Oral/head and neck cancer is the sixth most common human malignancies in the world. Despite the treatment advances in surgery, chemotherapy, and radiotherapy, the patient survival has not been significantly improved in the past several decades. As a new methodological approach, metabolomics may help reveal the metabolic reprogramming mechanisms underlying head and neck cancer cell proliferation, invasion, and metastasis and may be used to identify metabolite biomarkers for clinical applications of the disease. In this chapter, we briefly review recent metabolomic applications in head and neck cancer.
Collapse
Affiliation(s)
- Gaofei Yin
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, China
| | - Junwei Huang
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, China
| | - Wei Guo
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, China
| | - Zhigang Huang
- Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University, Beijing, China.
| |
Collapse
|
10
|
Castaldo G, Pagano I, Grimaldi M, Marino C, Molettieri P, Santoro A, Stillitano I, Romano R, Montoro P, D’Ursi AM, Rastrelli L. Effect of Very-Low-Calorie Ketogenic Diet on Psoriasis Patients: A Nuclear Magnetic Resonance-Based Metabolomic Study. J Proteome Res 2021; 20:1509-1521. [PMID: 33164516 PMCID: PMC8016365 DOI: 10.1021/acs.jproteome.0c00646] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Indexed: 12/15/2022]
Abstract
Psoriasis is an inflammatory disease of the epidermis based on an immunological mechanism involving Langerhans cells and T lymphocytes that produce pro-inflammatory cytokines. Genetic factors, environmental factors, and improper nutrition are considered triggers of the disease. Numerous studies have reported that in a high number of patients, psoriasis is associated with obesity. Excess adipose tissue, typical of obesity, causes a systemic inflammatory status coming from the inflammatory active adipose tissue; therefore, weight reduction is a strategy to fight this pro-inflammatory state. This study aimed to evaluate how a nutritional regimen based on a ketogenic diet influenced the clinical parameters, metabolic profile, and inflammatory state of psoriasis patients. To this end, 30 psoriasis patients were subjected to a ketogenic nutritional regimen and monitored for 4 weeks by evaluating the clinical data, biochemical and clinical parameters, NMR metabolomic profile, and IL-2, IL-1β, TNF-α, IFN-γ, and IL-4 concentrations before and after the nutritional regimen. Our data show that a low-calorie ketogenic diet can be considered a successful strategy and therapeutic option to gain an improvement in psoriasis-related dysmetabolism, with significant correction of the full metabolic and inflammatory status.
Collapse
Affiliation(s)
- Giuseppe Castaldo
- NutriKeto_LAB
Unisa−“San Giuseppe Moscati” National Hospital
(AORN), Contrada Amoretta, 83100 Avellino, Avellino, Italy
| | - Imma Pagano
- NutriKeto_LAB
Unisa−“San Giuseppe Moscati” National Hospital
(AORN), Contrada Amoretta, 83100 Avellino, Avellino, Italy
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Manuela Grimaldi
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Carmen Marino
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Paola Molettieri
- NutriKeto_LAB
Unisa−“San Giuseppe Moscati” National Hospital
(AORN), Contrada Amoretta, 83100 Avellino, Avellino, Italy
| | - Angelo Santoro
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Ilaria Stillitano
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Rocco Romano
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Paola Montoro
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Anna Maria D’Ursi
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| | - Luca Rastrelli
- NutriKeto_LAB
Unisa−“San Giuseppe Moscati” National Hospital
(AORN), Contrada Amoretta, 83100 Avellino, Avellino, Italy
- Department
of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Salerno, Italy
| |
Collapse
|
11
|
Herrala M, Mikkonen JJW, Pesonen P, Lappalainen R, Tjäderhane L, Niemelä RK, Seitsalo H, Salo T, Myllymaa S, Kullaa AM. Variability of salivary metabolite levels in patients with Sjögren's syndrome. J Oral Sci 2020; 63:22-26. [PMID: 33116006 DOI: 10.2334/josnusd.19-0504] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
PURPOSE To investigate inter- and intra-individual variation in the levels and outputs (concentration multiplied by salivary flow rate) of salivary metabolites in patients with primary Sjögren's syndrome (pSS). METHODS A total of 56 samples of stimulated saliva were collected from 14 female pSS patients during four laboratory visits within 20 weeks and analyzed using proton nuclear magnetic resonance spectroscopy. Single saliva samples from each of 15 controls were also analyzed. RESULTS Among 21 quantified metabolites, choline was significantly elevated in the pSS patients at each time point (P ≤ 0.015), taurine at the last three time points (P ≤ 0.013), alanine at the last two time points (P ≤ 0.007) and glycine at the last time point (P = 0.005). Inter-individual variation in metabolite concentrations was generally larger among the patients than among the controls, and significantly large variations were observed for glycine (P ≤ 0.007, all time points), choline (P ≤ 0.033, three last time points) and alanine (P = 0.028, baseline). Metabolite output analysis showed that choline had the lowest intra-patient variation. CONCLUSION In spite of considerable intra- and inter-individual variation, levels and outputs of specific metabolites in patients with pSS differ from those in controls, and may be potentially applicable as new biological markers for monitoring of the response to treatment.
Collapse
Affiliation(s)
- Maria Herrala
- Research Group of Oral Health Sciences, Faculty of Medicine, University of Oulu and Oulu University Hospital.,Institute of Dentistry, Faculty of Health Sciences, University of Eastern Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital
| | - Jopi J W Mikkonen
- SIB Labs and Department of Applied Physics, Faculty of Science and Forestry, University of Eastern Finland
| | - Paula Pesonen
- Infrastructure for Population Studies, Faculty of Medicine, University of Oulu
| | - Reijo Lappalainen
- SIB Labs and Department of Applied Physics, Faculty of Science and Forestry, University of Eastern Finland
| | - Leo Tjäderhane
- Medical Research Center Oulu, University of Oulu and Oulu University Hospital.,Department of Oral and Maxillofacial Diseases, University of Helsinki and Helsinki University Hospital
| | | | | | - Tuula Salo
- Medical Research Center Oulu, University of Oulu and Oulu University Hospital.,Department of Oral and Maxillofacial Diseases, University of Helsinki and Helsinki University Hospital
| | - Sami Myllymaa
- SIB Labs and Department of Applied Physics, Faculty of Science and Forestry, University of Eastern Finland
| | - Arja M Kullaa
- Research Group of Oral Health Sciences, Faculty of Medicine, University of Oulu and Oulu University Hospital.,Institute of Dentistry, Faculty of Health Sciences, University of Eastern Finland.,Educational Dental Clinic, Kuopio University Hospital
| |
Collapse
|
12
|
Determination of leucine and isoleucine/allo-isoleucine by electrospray ionization-tandem mass spectrometry and partial least square regression: Application to saliva samples. Talanta 2020; 216:120811. [PMID: 32456934 DOI: 10.1016/j.talanta.2020.120811] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 02/03/2020] [Accepted: 02/05/2020] [Indexed: 11/21/2022]
Abstract
Herein we propose, for the first time, a rapid method based on flow injection analysis, electrospray ionization-tandem mass spectrometry (FIA-ESI-MS/MS) and multivariate calibration for the determination of l-leucine, l-isoleucine and L-allo-isoleucine in saliva. As far as we know, multivariate calibration has never been applied to the data from this non-separative approach. The possibilities of its use were explored and the results obtained were compared with the corresponding ones when using univariate calibration. Partial least square regression (PLS1) multivariate calibration models were built for each analyte by analyzing different saliva samples, and were subsequently applied to the analysis of another set of samples which had not been used in any calibration step. For Leu, the model worked satisfactorily with root mean square errors in the prediction step of 17%. This error can be considered acceptable and is common in methodologies that do not include a separation step. Results were compared with those obtained when univariate calibration was used, using the m/z transition 132.1 → 43.0 as the quantitation variable. In this case, the obtained results were not acceptable, with RMSEP of 236%, due to the fact that saliva samples contained another compound, different to the target analytes, which also shared the same transition. Ile and aIle have the same fragmentation patterns, so quantification of the sum of both compounds was performed, with RMSEP of 14% using a PLS1 model. Similar results were obtained when a univariate calibration model using the m/z transition 132.1 → 69.0 was employed. However, the use of this transition should be carefully examined when other compounds present in the matrix contribute to the analytical signal. The method increases sample throughput more than one order of magnitude compared to the corresponding LC-ESI-MS/MS method and is especially suitable as screening. When abnormally high or low concentrations of the analytes studied are obtained, the use of the method that includes separation is recommended to confirm the results.
Collapse
|
13
|
Gardner A, Carpenter G, So PW. Salivary Metabolomics: From Diagnostic Biomarker Discovery to Investigating Biological Function. Metabolites 2020; 10:E47. [PMID: 31991929 PMCID: PMC7073850 DOI: 10.3390/metabo10020047] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 01/15/2020] [Accepted: 01/24/2020] [Indexed: 12/12/2022] Open
Abstract
Metabolomic profiling of biofluids, e.g., urine, plasma, has generated vast and ever-increasing amounts of knowledge over the last few decades. Paradoxically, metabolomic analysis of saliva, the most readily-available human biofluid, has lagged. This review explores the history of saliva-based metabolomics and summarizes current knowledge of salivary metabolomics. Current applications of salivary metabolomics have largely focused on diagnostic biomarker discovery and the diagnostic value of the current literature base is explored. There is also a small, albeit promising, literature base concerning the use of salivary metabolomics in monitoring athletic performance. Functional roles of salivary metabolites remain largely unexplored. Areas of emerging knowledge include the role of oral host-microbiome interactions in shaping the salivary metabolite profile and the potential roles of salivary metabolites in oral physiology, e.g., in taste perception. Discussion of future research directions describes the need to begin acquiring a greater knowledge of the function of salivary metabolites, a current research direction in the field of the gut metabolome. The role of saliva as an easily obtainable, information-rich fluid that could complement other gastrointestinal fluids in the exploration of the gut metabolome is emphasized.
Collapse
Affiliation(s)
- Alexander Gardner
- Salivary Research, Centre for Host–Microbiome Interactions, Faculty of Dental, Oral & Craniofacial Sciences, King’s College London, London SE1 9RT, UK; (A.G.); (G.C.)
- Department of Restorative Dentistry, Dental Hospital and School, University of Dundee, Dundee DD1 4HR, UK
| | - Guy Carpenter
- Salivary Research, Centre for Host–Microbiome Interactions, Faculty of Dental, Oral & Craniofacial Sciences, King’s College London, London SE1 9RT, UK; (A.G.); (G.C.)
| | - Po-Wah So
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London SE5 9RT, UK
| |
Collapse
|