The SARS-CoV-2 virus primarily infects salivary glands suggesting a change in the saliva metabolite profile; this shift may be used as a monitoring instrument during SARS-CoV-2 infection. The present study aims to determine the salivary metabolomic profile of patients with and post-SARS-CoV-19 infection. Patients were without (PCR-), with SARS-CoV-2 (PCR+), or post-SARS-CoV-2 infection. Unstimulated whole saliva was collected, and the H spectra were acquired in a 500 MHz Bruker nuclear magnetic resonance spectrometer at 25 °C. They were subjected to multivariate analysis using principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), as well as univariate analysis through -tests (SPSS 20.0, IL, USA), with a significance level of < 0.05. A distinction was found when comparing PCR- subjects to those with SARS-CoV-2 infection. When comparing the three groups, the PLS-DA cross-validation presented satisfactory accuracy (ACC = 0.69, R2 = 0.39, Q2 = 0.08). Seventeen metabolites were found in different proportions among the groups. The results suggested the downregulation of major amino acid levels, such as alanine, glutamine, histidine, leucine, lysine, phenylalanine, and proline in the PCR+ group compared to the PCR- ones. In addition, acetate, valerate, and capronic acid were higher in PCR- patients than in PCR+. Sucrose and butyrate were higher in post-SARS-CoV-2 infection compared to PCR-. In general, a reduction in amino acids was observed in subjects with and post-SARS-CoV-2 disease. The salivary metabolomic strategy NMR-based was able to differentiate between non-infected individuals and those with acute and post-SARS-CoV-19 infection.
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http://dx.doi.org/10.3390/metabo13020263 | DOI Listing |
Sci Rep
January 2025
CEINGE-Biotecnologie avanzate Franco Salvatore, Via G. Salvatore 486, Naples, 80145, Italy.
The development of targeted therapies that correct the effect of mutations in patients with cystic fibrosis (CF) and the relevant heterogeneity of the clinical expression of the disease require biomarkers correlated to the severity of the disease useful for monitoring the therapeutic effects. We applied a targeted metabolomic approach by LC-MS/MS on saliva samples from 70 adult CF patients and 63 age/sex-matched controls to investigate alterations in metabolic pathways related to pancreatic insufficiency (PI), Pseudomonas aeruginosa (PA) colonization, CF liver disease (CFLD), and CF related diabetes (CFRD). Sixty salivary metabolites were differentially expressed, with 11 being less abundant and 49 more abundant in CF patients.
View Article and Find Full Text PDFJ Pineal Res
January 2025
Department of Integrated Biology and Physiology, University of Minnesota, Minneapolis, Minnesota, USA.
Light environment in the Arctic differs widely with the seasons. Studies of relationships between objectively measured circadian phase and amplitude of light exposure and melatonin in community-dwelling Arctic residents are lacking. This investigation combines cross-sectional (n = 24-62) and longitudinal (n = 13-27) data from week-long actigraphy (with light sensor), 24-h salivary melatonin profiles, and proxies of metabolic health.
View Article and Find Full Text PDFCureus
November 2024
Oral Medicine and Radiology, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, IND.
Salivaomics has emerged as a ground-breaking field in the detection and management of oral cancer (OC), offering a non-invasive, efficient, and patient-friendly alternative to traditional diagnostic methods. This innovative approach leverages the comprehensive molecular insights provided by genomics, transcriptomics, proteomics, metabolomics, and microbiomics. The potential of salivaomics lies in its ability to enable early detection, predict malignant transformation, and monitor treatment outcomes and disease recurrence.
View Article and Find Full Text PDFAllergy
December 2024
Department of Chemistry and Center for Innovative Technology, Vanderbilt University, Nashville, Tennessee, USA.
Oral Dis
December 2024
Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, PR China.
Objective: This study aimed to analyze the subgingival and salivary microbiome and metabolome in diabetic periodontitis patients with varying glycemic levels.
Methods: Forty-two diabetic periodontitis patients were sampled of saliva, gingival crevicular fluid (GCF), and blood, and categorized into three groups based on systemic glycemic status. The microbiome was assessed using full-length 16S rRNA gene sequencing.
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