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Piacenza Florezi G, Pereira Barone F, Izidoro MA, Soares-Jr JM, Coutinho-Camillo CM, Lourenço SV. Targeted saliva metabolomics in Sjögren's syndrome. Clinics (Sao Paulo) 2024; 79:100459. [PMID: 39098147 DOI: 10.1016/j.clinsp.2024.100459] [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: 03/14/2024] [Revised: 06/12/2024] [Accepted: 07/12/2024] [Indexed: 08/06/2024] Open
Abstract
OBJECTIVE Sjögren's Syndrome (SS) is a chronic inflammatory autoimmune exocrinopathy, and although, the role of metabolism in the autoimmune responses has been discussed in diseases such as lupus erythematosus, rheumatoid arthritis, psoriasis and scleroderma. There is a lack of information regarding the metabolic implications of SS. Considering that the disease affects primarily salivary glands; the aim of this study is to evaluate the metabolic changes in the salivary glands' microenvironment using a targeted metabolomics approach. METHODS The saliva from 10 patients diagnosed with SS by the American-European consensus and 10 healthy volunteers was analyzed in an Ultra-high Performance Liquid Chromatograph Coupled Mass Spectrometry (UPLC-MS). RESULTS The results showed an increased concentration in SS of metabolites involved in oxidative stress such as lactate, alanine and malate, and amino acids involved in the growth and proliferation of T-cells, such as arginine, leucine valine and isoleucine. CONCLUSIONS These results revealed that is possible to differentiate the metabolic profile of SS and healthy individuals using a small amount of saliva, which in its turn may reflect the cellular changes observed in the microenvironments of damaged salivary glands from these patients.
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Affiliation(s)
- Giovanna Piacenza Florezi
- Stomatology Department, Faculdade de Odontologia, Universidade de São Paulo, São Paulo, SP, Brazil; Tropical Medicine Institute, LIM-06, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
| | - Felippe Pereira Barone
- Stomatology Department, Faculdade de Odontologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Mario Augusto Izidoro
- Laboratório de Espectrometria de Massas do Hospital São Paulo, São Paulo, SP, Brazil
| | - José Maria Soares-Jr
- Laboratório de Ginecologia Estrutural e Molecular (LIM-58), Disciplina de Ginecologia, Departamento de Obstetrícia e Ginecologia, Hospital das Clnicas HCFMUSP, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil
| | | | - Silvia Vanessa Lourenço
- Stomatology Department, Faculdade de Odontologia, Universidade de São Paulo, São Paulo, SP, Brazil; Tropical Medicine Institute, LIM-06, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
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Ma Y, Wei X, Peng J, Wei F, Wen Y, Liu M, Song B, Wang Y, Zhang Y, Peng T. Ephedra sinica polysaccharide regulate the anti-inflammatory immunity of intestinal microecology and bacterial metabolites in rheumatoid arthritis. Front Pharmacol 2024; 15:1414675. [PMID: 38846095 PMCID: PMC11153800 DOI: 10.3389/fphar.2024.1414675] [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: 04/09/2024] [Accepted: 05/07/2024] [Indexed: 06/09/2024] Open
Abstract
Introduction Ephedra sinica polysaccharide (ESP) exerts substantial therapeutic effects on rheumatoid arthritis (RA). However, the mechanism through which ESP intervenes in RA remains unclear. A close correlation has been observed between enzymes and derivatives in the gut microbiota and the inflammatory immune response in RA. Methods A type II collagen-induced arthritis (CIA) mice model was treated with Ephedra sinica polysaccharide. The therapeutic effect of ESP on collagen-induced arthritis mice was evaluated. The anti-inflammatory and cartilage-protective effects of ESP were also evaluated. Additionally, metagenomic sequencing was performed to identify changes in carbohydrate-active enzymes and resistance genes in the gut microbiota of the ESP-treated CIA mice. Liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry were performed to observe the levels of serum metabolites and short-chain fatty acids in the gut. Spearman's correlational analysis revealed a correlation among the gut microbiota, antibiotic-resistance genes, and microbiota-derived metabolites. Results ESP treatment significantly reduced inflammation levels and cartilage damage in the CIA mice. It also decreased the levels of pro-inflammatory cytokines interleukin (IL)-6, and IL-1-β and protected the intestinal mucosal epithelial barrier, inhibiting inflammatory cell infiltration and mucosal damage. Here, ESP reduced the TLR4, MyD88, and TRAF6 levels in the synovium, inhibited the p65 expression and pp65 phosphorylation in the NF-κB signaling pathway, and blocked histone deacetylase (HDAC1 and HDAC2) signals. ESP influenced the gut microbiota structure, microbial carbohydrate-active enzymes, and microbial resistance related to resistance genes. ESP increased the serum levels of L-tyrosine, sn-glycero-3-phosphocholine, octadecanoic acid, N-oleoyl taurine, and decreased N-palmitoyl taurine in the CIA mice. Conclusion ESP exhibited an inhibitory effect on RA. Its action mechanism may be related to the ability of ESP to effectively reduce pro-inflammatory cytokines levels, protect the intestinal barrier, and regulate the interaction between mucosal immune systems and abnormal local microbiota. Accordingly, immune homeostasis was maintained and the inhibition of fibroblast-like synoviocyte (FLS) proliferation through the HDAC/TLR4/NF-κB pathway was mediated, thereby contributing to its anti-inflammatory and immune-modulating effects.
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Affiliation(s)
- Yanmiao Ma
- Department of Basic Medical Sciences, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Xiuhong Wei
- Department of Basic Medical Sciences, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Jiehao Peng
- Department of Third Clinical Medicine, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Fuxia Wei
- Department of Third Clinical Medicine, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Ya Wen
- Department of First Clinical Medicine, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Mingran Liu
- Department of Basic Medical Sciences, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Bo Song
- Department of Third Clinical Medicine, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Yonghui Wang
- Department of Basic Medical Sciences, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Yumin Zhang
- Department of Basic Medical Sciences, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Tao Peng
- Famous Chinese Medicine Studio, Shanxi Hospital of Integrated Traditional Chinese and Western Medicine, Taiyuan, China
- Shanxi Provincial Key Laboratory of Classical Prescription Strengthening Yang, Shanxi Hospital of Integrated Traditional Chinese and Western Medicine Taiyuan, Taiyuan, China
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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.
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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.
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Zhang J, Tang Z, Liu Z, Wang G, Yang X, Hou X. Metabolomic and proteomic analyses of primary Sjogren's syndrome. Immunobiology 2023; 228:152722. [PMID: 37567091 DOI: 10.1016/j.imbio.2023.152722] [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: 05/30/2023] [Revised: 07/10/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023]
Abstract
The pathogenesis of primary Sjogren's syndrome (pSS) has not been fully elucidated. We explored differentially expressed proteins and metabolic pathways in pSS using proteomics and metabolomics. 456 named proteins in total were identified, among which 50 were significantly changed in the pSS. Altered proteins were significantly associated with signaling pathways such as antigen processing and presentation, human immunodeficiency virus 1 infection, and FC gamma R-mediated phagocytosis. Meanwhile, 12 proteins, such as SH3BGRL3, TPM4, and CA1, can be used as potential clinical molecular markers. Moreover, 128 metabolites were significantly expressed in the pSS group. A total of 96 pathways were significantly enriched including central carbon metabolism in cancer, taurine and hypotaurine metabolism, and ABC transporters. Notably, both proteomics and metabolomics enriched glycolysis/gluconeogenesis metabolism, pentose phosphate pathway, and glutathione metabolism pathways. In this study, the progression mechanism of pSS was analyzed and novel biomarkers were identified by proteomics and metabolomics.
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Affiliation(s)
- Junning Zhang
- Central Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin 541199, China
| | - Zixing Tang
- Department of Neurosurgery, The Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001, China
| | - Zhenyu Liu
- Central Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin 541199, China
| | - Guangyu Wang
- Central Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin 541199, China
| | - Xueli Yang
- Central Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin 541199, China
| | - Xianliang Hou
- Central Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin 541199, China.
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Alt-Holland A, Huang X, Mendez T, Singh ML, Papas AS, Cimmino J, Bairos T, Tzavaras E, Foley E, Pagni SE, Baleja JD. Identification of Salivary Metabolic Signatures Associated with Primary Sjögren's Disease. Molecules 2023; 28:5891. [PMID: 37570863 PMCID: PMC10421170 DOI: 10.3390/molecules28155891] [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: 05/14/2023] [Revised: 07/26/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023] Open
Abstract
Sjögren's disease (SjD) is the second most prevalent autoimmune disorder that involves chronic inflammation of exocrine glands. Correct diagnosis of primary SjD (pSjD) can span over many years since disease symptoms manifest only in advanced stages of salivary and lachrymal glandular destruction, and consensus diagnostic methods have critical sensitivity and selectivity limitations. Using nuclear magnetic resonance (NMR) spectroscopy, we determined the composition of metabolites in unstimulated saliva samples from 30 pSjD subjects and 30 participants who do not have Sjögren's disease (non-Sjögren's control group, NS-C). Thirty-four metabolites were quantified in each sample, and analysis was conducted on both non-normalized (concentration) and normalized metabolomics data from all study participants (ages 23-78) and on an age-restricted subset of the data (ages 30-70) while applying false discovery rate correction in determining data significance. The normalized data of saliva samples from all study participants, and of the age-restricted subset, indicated significant increases in the levels of glucose, glycerol, taurine, and lactate, as well as significant decreases in the levels of 5-aminopentanoate, acetate, butyrate and propionate, in subjects with pSjD compared to subjects in the NS-C group. Additionally, a significant increase in choline was found only in the age-restricted subset, and a significant decrease in fucose was found only in the whole study population in normalized data of saliva samples from the pSjD group compared to the NS-C group. Metabolite concentration data of saliva samples from all study participants, but not from the age-restricted subset, indicated significant increases in the levels of glucose, glycerol, taurine, and lactate in subjects with pSjD compared to controls. The study showed that NMR metabolomics can be implemented in defining salivary metabolic signatures that are associated with disease status, and can contribute to differential analysis between subjects with pSjD and those who are not affected with this disease, in the clinic.
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Affiliation(s)
- Addy Alt-Holland
- Department of Endodontics, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
- Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
| | - Xuejian Huang
- Program in Pharmacology and Drug Development, Tufts University Graduate School of Biomedical Sciences, 136 Harrison Avenue, Boston, MA 02111, USA
| | - Tatiana Mendez
- Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
| | - Mabi L. Singh
- Department of Diagnostics Sciences, Division of Oral Medicine, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
| | - Athena S. Papas
- Department of Diagnostics Sciences, Division of Oral Medicine, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
| | - Joseph Cimmino
- Department of Diagnostics Sciences, Division of Oral Medicine, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
| | - Tiffany Bairos
- Department of Diagnostics Sciences, Division of Oral Medicine, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
| | - Elizabeth Tzavaras
- Department of Diagnostics Sciences, Division of Oral Medicine, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
| | - Elizabeth Foley
- Department of Diagnostics Sciences, Division of Oral Medicine, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
| | - Sarah E. Pagni
- Department of Public Health and Community Service, Division of Biostatistics and Experimental Design, Tufts University School of Dental Medicine, One Kneeland Street, Boston, MA 02111, USA
| | - James D. Baleja
- Program in Pharmacology and Drug Development, Tufts University Graduate School of Biomedical Sciences, 136 Harrison Avenue, Boston, MA 02111, USA
- Department of Developmental, Molecular and Chemical Biology, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA 02111, USA
- Department of Medical Education, Tufts University Graduate School of Biomedical Sciences, 136 Harrison Avenue, Boston, MA 02111, USA
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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.
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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.
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Urbanski G, Chabrun F, Delattre E, Lacout C, Davidson B, Blanchet O, Chao de la Barca JM, Simard G, Lavigne C, Reynier P. An immuno-lipidomic signature revealed by metabolomic and machine-learning approaches in labial salivary gland to diagnose primary Sjögren's syndrome. Front Immunol 2023; 14:1205616. [PMID: 37520535 PMCID: PMC10375713 DOI: 10.3389/fimmu.2023.1205616] [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: 04/14/2023] [Accepted: 06/28/2023] [Indexed: 08/01/2023] Open
Abstract
Introduction Assessing labial salivary gland exocrinopathy is a cornerstone in primary Sjögren's syndrome. Currently this relies on the histopathologic diagnosis of focal lymphocytic sialadenitis and computing a focus score by counting lym=phocyte foci. However, those lesions represent advanced stages of primary Sjögren's syndrome, although earlier recognition of primary Sjögren's syndrome and its effective treatment could prevent irreversible damage to labial salivary gland. This study aimed at finding early biomarkers of primary Sjögren's syndrome in labial salivary gland combining metabolomics and machine-learning approaches. Methods We used a standardized targeted metabolomic approach involving high performance liquid chromatography coupled with mass spectrometry among newly diagnosed primary Sjögren's syndrome (n=40) and non- primary Sjögren's syndrome sicca (n=40) participants in a prospective cohort. A metabolic signature predictive of primary Sjögren's syndrome status was explored using linear (logistic regression with elastic-net regularization) and non-linear (random forests) machine learning architectures, after splitting the data set into training, validation, and test sets. Results Among 126 metabolites accurately measured, we identified a discriminant signature composed of six metabolites with robust performances (ROC-AUC = 0.86) for predicting primary Sjögren's syndrome status. This signature included the well-known immune-metabolite kynurenine and five phospholipids (LysoPC C28:0; PCaa C26:0; PCaaC30:2; PCae C30:1, and PCaeC30:2). It was split into two main components: the first including the phospholipids was related to the intensity of lymphocytic infiltrates in salivary glands, while the second represented by kynurenine was independently associated with the presence of anti-SSA antibodies in participant serum. Conclusion Our results reveal an immuno-lipidomic signature in labial salivary gland that accurately distinguishes early primary Sjögren's syndrome from other causes of sicca symptoms.
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Affiliation(s)
- Geoffrey Urbanski
- Department of Internal Medicine and Clinical Immunology, University Hospital, Angers, France
- Mitolab, MitoVasc Institute, CNRS 6015, INSERM U1083, University of Angers, Angers, France
- Department of Orofacial Sciences, University of California, San Francisco, San Francisco, CA, United States
| | - Floris Chabrun
- Mitolab, MitoVasc Institute, CNRS 6015, INSERM U1083, University of Angers, Angers, France
- Department of Biochemistry and Molecular Biology, University Hospital, Angers, France
| | - Estelle Delattre
- Department of Internal Medicine and Clinical Immunology, University Hospital, Angers, France
| | - Carole Lacout
- Department of Internal Medicine and Clinical Immunology, University Hospital, Angers, France
| | - Brittany Davidson
- Department of Orofacial Sciences, University of California, San Francisco, San Francisco, CA, United States
| | - Odile Blanchet
- Centre de Ressources Biologiques, University Hospital, Angers, France
| | - Juan Manuel Chao de la Barca
- Mitolab, MitoVasc Institute, CNRS 6015, INSERM U1083, University of Angers, Angers, France
- Department of Biochemistry and Molecular Biology, University Hospital, Angers, France
| | - Gilles Simard
- Mitolab, MitoVasc Institute, CNRS 6015, INSERM U1083, University of Angers, Angers, France
- Department of Biochemistry and Molecular Biology, University Hospital, Angers, France
| | - Christian Lavigne
- Department of Internal Medicine and Clinical Immunology, University Hospital, Angers, France
| | - Pascal Reynier
- Mitolab, MitoVasc Institute, CNRS 6015, INSERM U1083, University of Angers, Angers, France
- Department of Biochemistry and Molecular Biology, University Hospital, Angers, France
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Metabolic Profile of Whole Unstimulated Saliva in Patients with Sjögren’s Syndrome. Metabolites 2023; 13:metabo13030348. [PMID: 36984788 PMCID: PMC10054882 DOI: 10.3390/metabo13030348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 02/22/2023] [Accepted: 02/24/2023] [Indexed: 03/03/2023] Open
Abstract
(1) Background: Primary Sjögren’s Syndrome (pSS) is a multi-system autoimmune disease that involves the exocrine glands. Lymphocytes infiltrate the gland tissue, leading to anatomical modification and hypofunction. Even if the prognosis of pSS is favorable, quality of life is typically reduced due to the diverse manifestations of the disease. The aim of this study is to compare the salivary metabolomes of pSS with healthy controls (HCs). (2) Methods: Seven cases were selected from a cohort of pSS patients, and six age- and sex-matched HCs were recruited from a cohort of volunteers. Whole unstimulated saliva was collected for NMR analysis. Our metabolomic analysis focused on 360 ms total echo 1D 1H NMR CPMG spectra. Metabolites detected with CPMG NMR spectra were assigned through 2D NMR spectra (COSY, TOCSY, and HSQC). (3) Results: About 50 metabolites were detected and assigned. Unsupervised exploratory PCA returned partial clustering, and PLS-DA improved the separation between pSS and HCs, highlighting a pool of metabolites distinctly describing each group. (4) Conclusions: Despite the limited number of samples, the presented preliminary data are promising. PLS-DA indicated well-defined group separation, suggesting that the application of 1H-NMR metabolomics is suitable for the study of pSS.
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Grootveld M, Page G, Bhogadia M, Hunwin K, Edgar M. Updates and Original Case Studies Focused on the NMR-Linked Metabolomics Analysis of Human Oral Fluids Part III: Implementations for the Diagnosis of Non-Cancerous Disorders, Both Oral and Systemic. Metabolites 2023; 13:metabo13010066. [PMID: 36676991 PMCID: PMC9864626 DOI: 10.3390/metabo13010066] [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: 11/20/2022] [Revised: 12/27/2022] [Accepted: 12/28/2022] [Indexed: 01/03/2023] Open
Abstract
This communication represents Part III of our series of reports based on the applications of human saliva as a useful and conveniently collectable medium for the discovery, identification and monitoring of biomarkers, which are of some merit for the diagnosis of human diseases. Such biomarkers, or others reflecting the dysfunction of specific disease-associated metabolic pathways, may also be employed for the prognostic pathological tracking of these diseases. Part I of this series set the experimental and logistical groundwork for this report, and the preceding paper, Part II, featured the applications of newly developed metabolomics technologies to the diagnosis and severity grading of human cancer conditions, both oral and systemic. Clearly, there are many benefits, both scientific and economic, associated with the donation of human saliva samples (usually as whole mouth saliva) from humans consenting to and participating in investigations focused on the discovery of biomolecular markers of diseases. These include usually non-invasive collection protocols, relatively low cost when compared against blood sample collection, and no requirement for clinical supervision during collection episodes. This paper is centred on the employment and value of 'state-of-the-art' metabolomics technologies to the diagnosis and prognosis of a wide range of non-cancerous human diseases. Firstly, these include common oral diseases such as periodontal diseases (from type 1 (gingivitis) to type 4 (advanced periodontitis)), and dental caries. Secondly, a wide range of extra-oral (systemic) conditions are covered, most notably diabetes types 1 and 2, cardiovascular and neurological diseases, and Sjögren's syndrome, along with a series of viral infections, e.g., pharyngitis, influenza, HIV and COVID-19. Since the authors' major research interests lie in the area of the principles and applications of NMR-linked metabolomics techniques, many, but not all, of the studies reviewed were conducted using these technologies, with special attention being given to recommended protocols for their operation and management, for example, satisfactory experimental model designs; sample collection and laboratory processing techniques; the selection of sample-specific NMR pulse sequences for saliva analysis; and strategies available for the confirmation of resonance assignments for both endogenous and exogenous molecules in this biofluid. This article also features an original case study, which is focussed on the use of NMR-based salivary metabolomics techniques to provide some key biomarkers for the diagnosis of pharyngitis, and an example of how to 'police' such studies and to recognise participants who perceive that they actually have this disorder but do not from their metabolic profiles and multivariate analysis pattern-based clusterings. The biochemical and clinical significance of these multidimensional metabolomics investigations are discussed in detail.
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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.
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Systematic Review of NMR-Based Metabolomics Practices in Human Disease Research. Metabolites 2022; 12:metabo12100963. [PMID: 36295865 PMCID: PMC9609461 DOI: 10.3390/metabo12100963] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 12/02/2022] Open
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is one of the principal analytical techniques for metabolomics. It has the advantages of minimal sample preparation and high reproducibility, making it an ideal technique for generating large amounts of metabolomics data for biobanks and large-scale studies. Metabolomics is a popular “omics” technology and has established itself as a comprehensive exploratory biomarker tool; however, it has yet to reach its collaborative potential in data collation due to the lack of standardisation of the metabolomics workflow seen across small-scale studies. This systematic review compiles the different NMR metabolomics methods used for serum, plasma, and urine studies, from sample collection to data analysis, that were most popularly employed over a two-year period in 2019 and 2020. It also outlines how these methods influence the raw data and the downstream interpretations, and the importance of reporting for reproducibility and result validation. This review can act as a valuable summary of NMR metabolomic workflows that are actively used in human biofluid research and will help guide the workflow choice for future research.
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Bosman P, Pichon V, Acevedo AC, Chardin H, Combes A. Development of analytical methods to study the salivary metabolome: impact of the sampling. Anal Bioanal Chem 2022; 414:6899-6909. [PMID: 35931784 DOI: 10.1007/s00216-022-04255-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/20/2022] [Accepted: 07/26/2022] [Indexed: 11/25/2022]
Abstract
Advances in metabolomics have allowed the identification and characterization of saliva metabolites that can be used as biomarkers. However, discrepancies can be noted with the content of the same biomarker being increased or decreased for a given disease. Differences in the way saliva is collected, stored, and/or treated could cause these discrepancies. Indeed, there is no standardized method for saliva sampling and analysis. In this work, two chromatographic modes were used, i.e., RP-LC and HILIC both coupled to MS used in positive and negative ionization modes. The analytical conditions were optimized with a mixture of 90 compounds naturally present in saliva, representative of the wide range of molecular mass and polarity of salivary metabolites and being described as having a differential expression in various pathologies. These four methods were applied to the analysis of saliva samples collected by spitting, aspiration, or Salivette® with or without prior rinsing of the mouth. Rinsing had an effect on some metabolite concentrations. As it can induce an additional parameter of variability to the sampling, it seems therefore preferable to use methods without rinsing while effects of these parameters on the metabolites are investigated. Saliva obtained by spitting and aspiration gave statistically equivalent results for 84% of the metabolites studied. Conversely, Salivette® gave different results since the majority of the metabolites chosen for the study were not quantified in the samples. The Salivette® does not seem therefore to be a suitable sampling method for an untargeted analysis of the salivary metabolome, unlike aspiration and spitting.
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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
| | - Hélène Chardin
- Laboratoire Des Sciences Analytiques, Bioanalytiques Et Miniaturisation, UMR 8231 CBI CNRS, ESPCI Paris, PSL université, Paris, France.,Université Paris Cité, Paris, France
| | - Audrey Combes
- Laboratoire Des Sciences Analytiques, Bioanalytiques Et Miniaturisation, UMR 8231 CBI CNRS, ESPCI Paris, PSL université, Paris, France.
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Multi-Omic Biomarkers for Patient Stratification in Sjogren's Syndrome-A Review of the Literature. Biomedicines 2022; 10:biomedicines10081773. [PMID: 35892673 PMCID: PMC9332255 DOI: 10.3390/biomedicines10081773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/19/2022] [Accepted: 07/20/2022] [Indexed: 11/17/2022] Open
Abstract
Sjögren's syndrome (SS) is a heterogeneous autoimmune rheumatic disease (ARD) characterised by dryness due to the chronic lymphocytic infiltration of the exocrine glands. Patients can also present other extra glandular manifestations, such as arthritis, anaemia and fatigue or various types of organ involvement. Due to its heterogenicity, along with the lack of effective treatments, the diagnosis and management of this disease is challenging. The objective of this review is to summarize recent multi-omic publications aiming to identify biomarkers in tears, saliva and peripheral blood from SS patients that could be relevant for their better stratification aiming at improved treatment selection and hopefully better outcomes. We highlight the relevance of pro-inflammatory cytokines and interferon (IFN) as biomarkers identified in higher concentrations in serum, saliva and tears. Transcriptomic studies confirmed the upregulation of IFN and interleukin signalling in patients with SS, whereas immunophenotyping studies have shown dysregulation in the immune cell population frequencies, specifically CD4+and C8+T activated cells, and their correlations with clinical parameters, such as disease activity scores. Lastly, we discussed emerging findings derived from different omic technologies which can provide integrated knowledge about SS pathogenesis and facilitate personalised medicine approaches leading to better patient outcomes in the future.
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14
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La Barbera L, Macaluso F, Fasano S, Grasso G, Ciccia F, Guggino G. Microbiome Changes in Connective Tissue Diseases and Vasculitis: Focus on Metabolism and Inflammation. Int J Mol Sci 2022; 23:ijms23126532. [PMID: 35742974 PMCID: PMC9224234 DOI: 10.3390/ijms23126532] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/31/2022] [Accepted: 06/06/2022] [Indexed: 02/04/2023] Open
Abstract
The microbial community acts as an active player in maintaining homeostasis and immune functions through a continuous and changeable cross-talk with the host immune system. Emerging evidence suggests that altered microbial composition, known as dysbiosis, might perturb the delicate balance between the microbiota and the immune system, triggering inflammation and potentially contributing to the pathogenesis and development of chronic inflammatory diseases. This review will summarize the current evidence about the microbiome-immunity cross-talk, especially focusing on the microbiota alterations described in patients with rheumatic diseases and on the recent findings concerning the interaction between microbiota, metabolic function, and the immune system.
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Affiliation(s)
- Lidia La Barbera
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Rheumatology Section, University of Palermo, Piazza delle Cliniche 2, 90110 Palermo, Italy; (L.L.B.); (G.G.)
| | - Federica Macaluso
- Rheumatology Unit, Department of Internal Medicine, University of Modena and Reggio Emilia, AUSL-IRCCS, Via Giovanni Amendola, 2, 42122 Reggio Emilia, Italy;
- Division of Rheumatology, Department of Precision Medicine, University of Campania Luigi Vanvitelli, S. Andrea delle Dame, Via L. De Crecchio 7, 80138 Naples, Italy; (S.F.); (F.C.)
| | - Serena Fasano
- Division of Rheumatology, Department of Precision Medicine, University of Campania Luigi Vanvitelli, S. Andrea delle Dame, Via L. De Crecchio 7, 80138 Naples, Italy; (S.F.); (F.C.)
| | - Giulia Grasso
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Rheumatology Section, University of Palermo, Piazza delle Cliniche 2, 90110 Palermo, Italy; (L.L.B.); (G.G.)
| | - Francesco Ciccia
- Division of Rheumatology, Department of Precision Medicine, University of Campania Luigi Vanvitelli, S. Andrea delle Dame, Via L. De Crecchio 7, 80138 Naples, Italy; (S.F.); (F.C.)
| | - Giuliana Guggino
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Rheumatology Section, University of Palermo, Piazza delle Cliniche 2, 90110 Palermo, Italy; (L.L.B.); (G.G.)
- Correspondence: ; Tel.: +39-091-655-2148
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15
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Li Z, Mu Y, Guo C, You X, Liu X, Li Q, Sun W. Analysis of the saliva metabolic signature in patients with primary Sjögren’s syndrome. PLoS One 2022; 17:e0269275. [PMID: 35653354 PMCID: PMC9162338 DOI: 10.1371/journal.pone.0269275] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 05/17/2022] [Indexed: 11/18/2022] Open
Abstract
Background
The saliva metabolome has been applied to explore disease biomarkers. In this study we characterized the metabolic profile of primary Sjögren’s syndrome (pSS) patients and explored metabolomic biomarkers.
Methods
This work presents a liquid chromatography-mass spectrometry-based metabolomic study of the saliva of 32 patients with pSS and 38 age- and sex-matched healthy adults. Potential pSS saliva metabolite biomarkers were explored using test group saliva samples (20 patients with pSS vs. 25 healthy adults) and were then verified by a cross-validation group (12 patients with pSS vs. 13 healthy adults).
Results
Metabolic pathways, including tryptophan metabolism, tyrosine metabolism, carbon fixation, and aspartate and asparagine metabolism, were found to be significantly regulated and related to inflammatory injury, neurological cognitive impairment and the immune response. Phenylalanyl-alanine was discovered to have good predictive ability for pSS, with an area under the curve (AUC) of 0.87 in the testing group (validation group: AUC = 0.75).
Conclusion
Our study shows that salivary metabolomics is a useful strategy for differential analysis and biomarker discovery in pSS.
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Affiliation(s)
- Zhen Li
- Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Yue Mu
- Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Chunlan Guo
- Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Xin You
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaoyan Liu
- Core Facility of Instrument, Chinese Academy of Medical Sciences, School of Basic Medicine, Institute of Basic Medical Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Qian Li
- Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- * E-mail: (QL); (WS)
| | - Wei Sun
- Core Facility of Instrument, Chinese Academy of Medical Sciences, School of Basic Medicine, Institute of Basic Medical Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- * E-mail: (QL); (WS)
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Cui Y, Zhang H, Zhu J, Liao Z, Wang S, Liu W. Correlations of Salivary and Blood Glucose Levels among Six Saliva Collection Methods. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19074122. [PMID: 35409805 PMCID: PMC8999001 DOI: 10.3390/ijerph19074122] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 03/27/2022] [Accepted: 03/29/2022] [Indexed: 02/07/2023]
Abstract
Background: Saliva has been studied as a better indicator of disorders and diseases than blood. Specifically, the salivary glucose level is considered to be an indicator of diabetes mellitus (DM). However, saliva collection methods can affect the salivary glucose level, thereby affecting the correlation between salivary glucose and blood glucose. Therefore, this study aims to identify an ideal saliva collection method and to use this method to determine the population and individual correlations between salivary glucose and blood glucose levels in DM patients and healthy controls. Finally, an analysis of the stability of the individual correlations is conducted. Methods: This study included 40 age-matched DM patients and 40 healthy controls. In the fasting state, saliva was collected using six saliva collection methods, venous blood was collected simultaneously from each study participant, and both samples were analyzed at the same time using glucose oxidase peroxidase. A total of 20 DM patients and 20 healthy controls were arbitrarily selected from the above participants for one week of daily testing. The correlations between salivary glucose and blood glucose before and after breakfast were analyzed. Finally, 10 DM patients and 10 healthy controls were arbitrarily selected for one month of daily testing to analyze the stability of individual correlations. Results: Salivary glucose levels were higher in DM patients than healthy controls for the six saliva collection methods. Compared with unstimulated saliva, stimulated saliva had decreased glucose level and increased salivary flow. In addition, unstimulated parotid salivary glucose was most correlated with blood glucose level (R2 = 0.9153), and the ROC curve area was 0.9316, which could accurately distinguish DM patients. Finally, it was found that the correlations between salivary glucose and blood glucose in different DM patients were quite different. The average correlation before breakfast was 0.83, and the average correlation after breakfast was 0.77. The coefficient of variation of the correlation coefficient before breakfast within 1 month was less than 5%. Conclusion: Unstimulated parotid salivary glucose level is the highest and is most correlated with blood glucose level, which can be accurately used to distinguish DM patients. Meanwhile, the correlation between salivary glucose and blood glucose was found to be relatively high and stable before breakfast. In general, the unstimulated parotid salivary glucose before breakfast presents an ideal saliva collecting method with which to replace blood-glucose use to detect DM, which provides a reference for the prediction of DM.
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Affiliation(s)
- Yangyang Cui
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (Y.C.); (H.Z.); (J.Z.)
- Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
| | - Hankun Zhang
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (Y.C.); (H.Z.); (J.Z.)
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
| | - Jia Zhu
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (Y.C.); (H.Z.); (J.Z.)
- Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
| | - Zhenhua Liao
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
| | - Song Wang
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
- Correspondence: (S.W.); (W.L.); Tel.: +86-0755-26558633 (S.W.); +86-0755-26551376 (W.L.)
| | - Weiqiang Liu
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (Y.C.); (H.Z.); (J.Z.)
- Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
- Biomechanics and Biotechnology Lab, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China;
- Correspondence: (S.W.); (W.L.); Tel.: +86-0755-26558633 (S.W.); +86-0755-26551376 (W.L.)
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17
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Updates and Original Case Studies Focused on the NMR-Linked Metabolomics Analysis of Human Oral Fluids Part I: Emerging Platforms and Perspectives. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12031235] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
1H NMR-based metabolomics analysis of human saliva, other oral fluids, and/or tissue biopsies serves as a valuable technique for the exploration of metabolic processes, and when associated with ’state-of-the-art’ multivariate (MV) statistical analysis strategies, provides a powerful means of examining the identification of characteristic metabolite patterns, which may serve to differentiate between patients with oral health conditions (e.g., periodontitis, dental caries, and oral cancers) and age-matched heathy controls. This approach may also be employed to explore such discriminatory signatures in the salivary 1H NMR profiles of patients with systemic diseases, and to date, these have included diabetes, Sjörgen’s syndrome, cancers, neurological conditions such as Alzheimer’s disease, and viral infections. However, such investigations are complicated in view of quite a large number of serious inconsistencies between the different studies performed by independent research groups globally; these include differing protocols and routes for saliva sample collection (e.g., stimulated versus unstimulated samples), their timings (particularly the oral activity abstention period involved, which may range from one to 12 h or more), and methods for sample transport, storage, and preparation for NMR analysis, not to mention a very wide variety of demographic variables that may influence salivary metabolite concentrations, notably the age, gender, ethnic origin, salivary flow-rate, lifestyles, diets, and smoking status of participant donors, together with their exposure to any other possible convoluting environmental factors. In view of the explosive increase in reported salivary metabolomics investigations, in this update, we critically review a wide range of critical considerations for the successful performance of such experiments. These include the nature, composite sources, and biomolecular status of human saliva samples; the merits of these samples as media for the screening of disease biomarkers, notably their facile, unsupervised collection; and the different classes of such metabolomics investigations possible. Also encompassed is an account of the history of NMR-based salivary metabolomics; our recommended regimens for the collection, transport, and storage of saliva samples, along with their preparation for NMR analysis; frequently employed pulse sequences for the NMR analysis of these samples; the supreme resonance assignment benefits offered by homo- and heteronuclear two-dimensional NMR techniques; deliberations regarding salivary biomolecule quantification approaches employed for such studies, including the preprocessing and bucketing of multianalyte salivary NMR spectra, and the normalization, transformation, and scaling of datasets therefrom; salivary phenotype analysis, featuring the segregation of a range of different metabolites into ‘pools’ grouped according to their potential physiological sources; and lastly, future prospects afforded by the applications of LF benchtop NMR spectrometers for direct evaluations of the oral or systemic health status of patients at clinical ‘point-of-contact’ sites, e.g., dental surgeries. This commentary is then concluded with appropriate recommendations for the conduct of future salivary metabolomics studies. Also included are two original case studies featuring investigations of (1) the 1H NMR resonance line-widths of selected biomolecules and their possible dependence on biomacromolecular binding equilibria, and (2) the combined univariate (UV) and MV analysis of saliva specimens collected from a large group of healthy control participants in order to potentially delineate the possible origins of biomolecules therein, particularly host- versus oral microbiome-derived sources. In a follow-up publication, Part II of this series, we conduct censorious reviews of reported observations acquired from a diversity of salivary metabolomics investigations performed to evaluate both localized oral and non-oral diseases. Perplexing problems encountered with these again include those arising from sample collection and preparation protocols, along with 1H NMR spectral misassignments.
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Saliva Metabolomics in Dry Mouth Patients with Head and Neck Cancer or Sjögren’s Syndrome. Cells 2022; 11:cells11030323. [PMID: 35159133 PMCID: PMC8833893 DOI: 10.3390/cells11030323] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/13/2022] [Accepted: 01/14/2022] [Indexed: 02/06/2023] Open
Abstract
The etiology of dry mouth conditions is multi-faceted. Patients radiated after head and neck cancer (HNC) and those with primary Sjögren’s syndrome (pSS) share many of the same symptoms despite different causes. With the aim of better understanding the pathophysiology and biochemical processes behind dry mouth with different etiologies, we investigated the metabolic profile of 10 HNC patients, 9 pSS patients and 10 healthy controls using high-performance liquid chromatography-high resolution mass spectrometry (HPLC-MS) metabolomics. Principal component analysis (PCA) revealed different metabolic profiles when comparing all subjects included in the study. Both patient groups showed higher ratios of several pyrimidine nucleotides and nucleosides when compared to controls. This finding may indicate that purinergic signaling plays a role in dry mouth conditions. Moreover, significantly increased levels of DL-3-aminoisobutyric acid were found in HNC patients when compared to controls, and a similar tendency was observed in the pSS patients. Furthermore, a dysregulation in amino acid metabolism was observed in both patient groups. In conclusion, metabolomics analysis showed separate metabolic profiles for HNC and pSS patients as compared to controls that could be useful in diagnostics and for elucidating the different pathophysiologies. The demonstrated dysregulation of pyrimidine nucleotides and levels of metabolites derived from amino acids in the patient groups should be studied further.
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Herrala M, Turunen S, Hanhineva K, Lehtonen M, Mikkonen JJW, Seitsalo H, Lappalainen R, Tjäderhane L, Niemelä RK, Salo T, Myllymaa S, Kullaa AM, Kärkkäinen O. Low-Dose Doxycycline Treatment Normalizes Levels of Some Salivary Metabolites Associated with Oral Microbiota in Patients with Primary Sjögren's Syndrome. Metabolites 2021; 11:metabo11090595. [PMID: 34564411 PMCID: PMC8470364 DOI: 10.3390/metabo11090595] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/26/2021] [Accepted: 08/28/2021] [Indexed: 12/14/2022] Open
Abstract
Saliva is a complex oral fluid, and plays a major role in oral health. Primary Sjögren’s syndrome (pSS), as an autoimmune disease that typically causes hyposalivation. In the present study, salivary metabolites were studied from stimulated saliva samples (n = 15) of female patients with pSS in a group treated with low-dose doxycycline (LDD), saliva samples (n = 10) of non-treated female patients with pSS, and saliva samples (n = 14) of healthy age-matched females as controls. Saliva samples were analyzed with liquid chromatography mass spectrometry (LC-MS) based on the non-targeted metabolomics method. The saliva metabolite profile differed between pSS patients and the healthy control (HC). In the pSS patients, the LDD treatment normalized saliva levels of several metabolites, including tyrosine glutamine dipeptide, phenylalanine isoleucine dipeptide, valine leucine dipeptide, phenylalanine, pantothenic acid (vitamin B5), urocanic acid, and salivary lipid cholesteryl palmitic acid (CE 16:0), to levels seen in the saliva samples of the HC. In conclusion, the data showed that pSS is associated with an altered saliva metabolite profile compared to the HC and that the LLD treatment normalized levels of several metabolites associated with dysbiosis of oral microbiota in pSS patients. The role of the saliva metabolome in pSS pathology needs to be further studied to clarify if saliva metabolite levels can be used to predict or monitor the progress and treatment of pSS.
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Affiliation(s)
- Maria Herrala
- Research Group of Oral Health Sciences, Faculty of Medicine, Oulu University Hospital, University of Oulu, 90220 Oulu, Finland;
- Institute of Dentistry, Faculty of Health Sciences, University of Eastern Finland, 70211 Kuopio, Finland;
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, 90014 Oulu, Finland;
- Correspondence: ; Fax: +358-8-537-5560
| | - Soile Turunen
- School of Pharmacy, University of Eastern Finland, 70210 Kuopio, Finland; (S.T.); (M.L.); (O.K.)
| | - Kati Hanhineva
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland;
- Department of Life Technologies, Food Chemistry and Food Development Unit, University of Turku, 20014 Turku, Finland
| | - Marko Lehtonen
- School of Pharmacy, University of Eastern Finland, 70210 Kuopio, Finland; (S.T.); (M.L.); (O.K.)
| | - Jopi J. W. Mikkonen
- Institute of Dentistry, Faculty of Health Sciences, University of Eastern Finland, 70211 Kuopio, Finland;
- Department of Applied Physics, University of Eastern Finland, 70211 Kuopio, Finland; (R.L.); (S.M.)
| | | | - Reijo Lappalainen
- Department of Applied Physics, University of Eastern Finland, 70211 Kuopio, Finland; (R.L.); (S.M.)
| | - Leo Tjäderhane
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, 90014 Oulu, Finland;
- Department of Oral and Maxillofacial Diseases, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland;
| | - Raija K. Niemelä
- Department of Rheumatology, Oulu University Hospital, 90220 Oulu, Finland;
| | - Tuula Salo
- Department of Oral and Maxillofacial Diseases, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland;
- Translational Immunology Research Program (TRIMM), University of Helsinki, 00014 Helsinki, Finland
- Department of Pathology, Faculty of Medicine, University of Helsinki, Helsinki University Hospital, 00014 Helsinki, Finland
- Cancer and Translational Medicine Research Unit, University of Oulu, 90014 Oulu, Finland
| | - Sami Myllymaa
- Department of Applied Physics, University of Eastern Finland, 70211 Kuopio, Finland; (R.L.); (S.M.)
- Diagnostic Imaging Center, Kuopio University Hospital, 70029 Kuopio, Finland
| | - Arja M. Kullaa
- Research Group of Oral Health Sciences, Faculty of Medicine, Oulu University Hospital, University of Oulu, 90220 Oulu, Finland;
- Institute of Dentistry, Faculty of Health Sciences, University of Eastern Finland, 70211 Kuopio, Finland;
- Educational Dental Clinic, Kuopio University Hospital, 90220 Kuopio, Finland
| | - Olli Kärkkäinen
- School of Pharmacy, University of Eastern Finland, 70210 Kuopio, Finland; (S.T.); (M.L.); (O.K.)
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20
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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: 33] [Impact Index Per Article: 11.0] [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.
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21
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Boroumand M, Olianas A, Cabras T, Manconi B, Fanni D, Faa G, Desiderio C, Messana I, Castagnola M. Saliva, a bodily fluid with recognized and potential diagnostic applications. J Sep Sci 2021; 44:3677-3690. [PMID: 34350708 PMCID: PMC9290823 DOI: 10.1002/jssc.202100384] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 07/27/2021] [Accepted: 07/28/2021] [Indexed: 12/12/2022]
Abstract
Human whole saliva is a bodily fluid that can be obtained easily by noninvasive techniques. Specimens can be collected by the patient also at home in order to monitor health status and variations of several analytes of clinical interest. The contributions to whole saliva include secretions from salivary glands and, among others, from the gingival crevicular fluid that derives from the epithelial mucosa. Therefore, saliva is currently a relevant diagnostic fluid for many substances, including steroids, nonpeptide hormones, therapeutic drugs, and drugs of abuse. This review at first briefly describes the different contributions to whole saliva. A section illustrates the procedures for the collection, handling, and storage of salivary specimens. Another section describes the present use of whole saliva for diagnostic purposes and its specific utilization for the diagnosis of several local and systemic diseases. The final sections illustrate the future opportunities offered by various not conventional techniques with a focus on the most recent –omic investigations. It describes the various issues that have to be taken into account to avoid false positives and negatives, such as the strength of the experimental plan, the adequacy of the number of samples under study, and the proper choice of controls.
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Affiliation(s)
- Mozhgan Boroumand
- Laboratorio di Proteomica, Centro Europeo di Ricerca sul Cervello, IRCCS Fondazione Santa Lucia, Roma, Italy
| | - Alessandra Olianas
- Dipartimento di Scienze Della Vita e Dell'Ambiente, Università di Cagliari, Cagliari, Italy
| | - Tiziana Cabras
- Dipartimento di Scienze Della Vita e Dell'Ambiente, Università di Cagliari, Cagliari, Italy
| | - Barbara Manconi
- Dipartimento di Scienze Della Vita e Dell'Ambiente, Università di Cagliari, Cagliari, Italy
| | - Daniela Fanni
- Dipartimento di Scienze Mediche e Sanità Pubblica, Sezione di Patologia, Università di Cagliari, AOU of Cagliari, Cagliari, Italy.,Department of Biology, College of Science and Technology, Temple University, Philadelphia, Pennsylvania, USA
| | - Gavino Faa
- Dipartimento di Scienze Mediche e Sanità Pubblica, Sezione di Patologia, Università di Cagliari, AOU of Cagliari, Cagliari, Italy.,Department of Biology, College of Science and Technology, Temple University, Philadelphia, Pennsylvania, USA
| | - Claudia Desiderio
- Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC), Consiglio Nazionale Delle Ricerche, Roma, Italy
| | - Irene Messana
- Istituto di Scienze e Tecnologie Chimiche "Giulio Natta" (SCITEC), Consiglio Nazionale Delle Ricerche, Roma, Italy
| | - Massimo Castagnola
- Laboratorio di Proteomica, Centro Europeo di Ricerca sul Cervello, IRCCS Fondazione Santa Lucia, Roma, Italy
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Toan NK, Ahn SG. Aging-Related Metabolic Dysfunction in the Salivary Gland: A Review of the Literature. Int J Mol Sci 2021; 22:5835. [PMID: 34072470 PMCID: PMC8198609 DOI: 10.3390/ijms22115835] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 05/27/2021] [Accepted: 05/27/2021] [Indexed: 12/13/2022] Open
Abstract
Aging-related salivary dysfunction commonly induces the poor oral health, including decreased saliva flow and dental caries. Although the clinical significance of the salivary glands is well-known, the complex metabolic pathways contributing to the aging-dysfunction process are only beginning to be uncovered. Here, we provide a comprehensive overview of the metabolic changes in aging-mediated salivary gland dysfunction as a key aspect of oral physiology. Several metabolic neuropeptides or hormones are involved in causing or contributing to salivary gland dysfunction, including hyposalivation and age-related diseases. Thus, aging-related metabolism holds promise for early diagnosis, increased choice of therapy and the identification of new metabolic pathways that could potentially be targeted in salivary gland dysfunction.
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Affiliation(s)
| | - Sang-Gun Ahn
- Department of Pathology, School of Dentistry, Chosun University, Gwangju 61452, Korea;
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