Salivary proteomic analysis in asymptomatic and symptomatic SARS-CoV-2 infection: Innate immunity, taste perception and FABP5 proteins make the difference

Aita, Ada; Battisti, Ilaria; Contran, Nicole; Furlan, Serena; Padoan, Andrea; Franchin, Cinzia; Barbaro, Francesco; Cattelan, Anna Maria; Zambon, Carlo–Federico; Plebani, Mario; Basso, Daniela; Arrigoni, Giorgio

doi:10.1016/j.cca.2022.09.023

Cited by 9 publications

(4 citation statements)

References 37 publications

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“…A similar study found 70 different peaks on CM10 chips (39 in the range of 2-10 kDa, 17 from 10-20 kDa, and 14 from 20-100 kDa) and a total of 108 peaks on the Q10 chips with most peaks in the range of below 10 kDa [43]. These findings are in line with the results of the present investigation, while other studies reported from total numbers that ranged between 70 and >1000 proteins [14,[44][45][46].…”

Section: Discussionsupporting

confidence: 92%

Salivary Pellicle Formed on Dental Composites Evaluated by Mass Spectrometry—An In Situ Study

Reise,

Kranz,

Heyder

et al. 2023

Molecules

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(1) Background: In the oral environment, sound enamel and dental restorative materials are immediately covered by a pellicle layer, which enables bacteria to attach. For the development of new materials with repellent surface functions, information on the formation and maturation of salivary pellicles is crucial. Therefore, the present in situ study aimed to investigate the proteomic profile of salivary pellicles formed on different dental composites. (2) Methods: Light-cured composite and bovine enamel samples (controls) were exposed to the oral cavity for 30, 90, and 120 min. All samples were subjected to optical and mechanical profilometry, as well as SEM surface evaluation. Acquired pellicles and unstimulated whole saliva samples were analyzed by SELDI–TOF–MS. The significance was determined by the generalized estimation equation and the post-hoc bonferroni adjustment. (3) Results: SEM revealed the formation of homogeneous pellicles on all test and control surfaces. Profilometry showed that composite surfaces tend to be of higher roughness compared to enamel. SELDI–TOF–MS detected up to 102 different proteins in the saliva samples and up to 46 proteins in the pellicle. Significant differences among 14 pellicle proteins were found between the composite materials and the controls. (4) Conclusions: Pellicle formation was material- and time-dependent. Proteins differed among the composites and to the control.

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Section: Discussionsupporting

confidence: 92%

Salivary Pellicle Formed on Dental Composites Evaluated by Mass Spectrometry—An In Situ Study

Reise,

Kranz,

Heyder

et al. 2023

Molecules

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“…Peptides were separated by reverse-phase chromatography with a C18 column (Brownlee SPP Peptide ES C18, 100 mm × 2.1 mm i.d., 2.7 μm particle size, PerkinElmer, Waltham, MA) with a 45 min gradient and an injection volume of 4 μL. The detailed instrument parameters are reported in Aita et al 45 A total of 35 individual samples were randomly analyzed in 5 days, alternated with two pool injections per day as QC. The SRM transitions (at least five for each peptide) were initially chosen based on the manual scrutiny of MS/MS spectra acquired in the untargeted analysis and then experimentally optimized by determining the best collision energy and S-lens values.…”

Section: Methodsmentioning

confidence: 99%

Subclinical Mastitis from Streptococcus agalactiae and Prototheca spp. Induces Changes in Milk Peptidome in Holstein Cattle

Vanzin,

Franchin,

Arrigoni

et al. 2023

J. Agric. Food Chem.

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Early detection of bovine subclinical mastitis may improve treatment strategies and reduce the use of antibiotics. Herein, individual milk samples from Holstein cows affected by subclinical mastitis induced by S. agalactiae and Prototheca spp. were analyzed by untargeted and targeted mass spectrometry approaches to assess changes in their peptidome profiles and identify new potential biomarkers of the pathological condition. Results showed a higher amount of peptides in milk positive on the bacteriological examination when compared with the negative control. However, the different pathogens seemed not to trigger specific effects on the milk peptidome. The peptides that best distinguish positive from negative samples are mainly derived from the most abundant milk proteins, especially from βand α s1 -casein, but also include the antimicrobial peptide casecidin 17. These results provide new insights into the physiopathology of mastitis. Upon further validation, the panel of potential discriminant peptides could help the development of new diagnostic and therapeutic tools.

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“… Cancer biomarkers : Salivary proteomic biomarkers have been investigated as potential indicators of cancer in various organs, including the breast, lung, prostate, and head and neck 81–83 . These biomarkers can include proteins that are specific to the tumor or proteins that are over‐ or under‐expressed in cancer patients. Infectious disease biomarkers : Salivary proteomic biomarkers have been investigated as a potential tool for diagnosing infectious diseases such as human immunodeficiency virus (HIV), hepatitis B and C, and SARS‐CoV‐2 spike antigens 84,85 . Specific proteins in saliva can be used to detect the presence of viral or bacterial infections and monitor disease progression. Neurological biomarkers : Salivary proteomic biomarkers have been investigated as a potential tool for diagnosing and monitoring neurological conditions such as Alzheimer's disease and Parkinson's disease 83,86 .…”

Section: The Nature Of Salivamentioning

confidence: 99%

“…Infectious disease biomarkers: Salivary proteomic biomarkers have been investigated as a potential tool for diagnosing infectious diseases such as human immunodeficiency virus (HIV), hepatitis B and C, and SARS-CoV-2 spike antigens. 84,85 Specific proteins in saliva can be used to detect the presence of viral or bacterial infections and monitor disease progression. 4.…”

Section: Proteomic Biomarkersmentioning

confidence: 99%

Salivary analysis: An emerging paradigm for non‐invasive healthcare diagnosis and monitoring

Liao

Chen

2023

Interdisciplinary Medicine

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As an emerging non-invasive and easy-to-use toolkit, salivary analysis has garnered significant attention recently. By leveraging the latest discoveries in salivary biomarkers, salivary analysis has the potential to revolutionize the field of healthcare by providing valuable information for monitoring an individual's health status, diagnosing disease progression, and enabling personalized treatment. However, the transitional development of breakthrough salivary analysis remains an intriguing challenge. Only a few innovations have progressed to new transformative healthcare diagnosis and monitoring tools. In this review, we attempt to illustrate a bird's eye view of the emerging field of salivary analysis by exploring an assorted selection of seminar progress that can potentially shape the developing trajectory of the field of salivary analysis. The fundamental nature of saliva and the versatile robust uses of salivary analysis as a novel non-invasive method in various healthcare diagnostic and monitoring fields will be thoroughly discussed. To inspire next-stage development in this thriving and fruitful field, we also crystalize key findings, pinpoint challenges that remain to be addressed and present an outlook on the future transitional development of salivary analysis, invigorating future research of groundbreaking non-invasive healthcare diagnosis and monitoring strategies, and beyond.

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Salivary proteomic analysis in asymptomatic and symptomatic SARS-CoV-2 infection: Innate immunity, taste perception and FABP5 proteins make the difference

Cited by 9 publications

References 37 publications

Salivary Pellicle Formed on Dental Composites Evaluated by Mass Spectrometry—An In Situ Study

Salivary Pellicle Formed on Dental Composites Evaluated by Mass Spectrometry—An In Situ Study

Subclinical Mastitis from Streptococcus agalactiae and Prototheca spp. Induces Changes in Milk Peptidome in Holstein Cattle

Salivary analysis: An emerging paradigm for non‐invasive healthcare diagnosis and monitoring

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