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Biology subjects

Vay, C.

Publications and source records attributed to Vay, C..

3 recordsLinked to original sources

The dilemma of infection versus colonization at mucosal tissues: immunological and bacteriological features of obstructive tonsillar hypertrophy

Immune responses at the boundary between the host and the world beyond are complex and mucosal tissue homeostasis relies on them. Obstructive sleep apnea (OSA) is a syndrome suffered by children with hypertrophied tonsils. We uncovered a crucial role of pro-inflammatory tonsillar B and T cells in sustaining hypertrophy and hyperplasia by producing TNF and IL17, respectively. We detected prominent levels of expression of CD1d by tonsillar stratified as well as reticular epithelium, which have not previously been reported. By combining bacterial culture from the tonsillar core and subsequent identification of the respective isolates, we determined the most prevalent species within the cohort of OSA patients. Although the isolated species are considered normal oropharyngeal commensals in children, we confirmed their capacity to breach the epithelial barrier. Our work shed light on the pathological mechanism underlying OSA, highlighting the relevance taken by the host immune system when defining infection versus colonization.

immunology↗

Plasma mass spectrometry fingerprints induced by bacterial endotoxins in murine models as markers of pathophysiological evolution in sepsis

Sepsis has been called "the graveyard of pharmaceutical companies" due to the numerous failed clinical trials. The lack of tools to monitor the immunological status in sepsis constrains the development of immunomodulatory therapies. Here, we evaluated a test based on whole plasma peptidome acquired in a MALDI-TOF-mass spectrometer used for bacterial biotyping and machine-learning algorithms to discriminate the different immunological phases of sepsis. In this proof of concept study, two discrete lipopolysaccharide-(LPS) induced murine models emulating the pro- and anti-inflammatory phases that occur during sepsis were evaluated. The LPS group was inoculated with a single high dose of LPS, recalling the proinflammatory phase, and the IS groups was subjected to increasing doses of LPS to induce the anti-inflammatory/immunosuppression phase. Unstimulated mice served as controls. Both experimental groups showed the hallmarks of pro- and anti- inflammatory phases respectively; the LPS group showed leukopenia and higher levels of cytokines and tissue damage markers, and the IS group showed neutrophilia, lymphopenia and significantly lower antibody titers upon immunization. Principal component analysis of the plasma peptidomes formed three discrete clusters that mostly coincided with the experimental groups. In addition, machine-learning algorithms discriminated the different experimental groups with a sensitivity and specificity of up to 95.7% and 90.9% respectively. Our data reveal the potential of plasma peptidome analysis by MALDI-TOF-mass spectrometry as a simple, speedy and readily transferrable method for sepsis patient stratification that would contribute to therapeutic decision-making based on their immunological status.

immunology↗

A Combined approach of MALDI-TOF Mass Spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs.

Coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The rapid, sensitive and specific diagnosis of SARS-CoV-2 by fast and unambiguous testing is widely recognized to be critical in responding to the ongoing outbreak. Since the current testing capacity of RT-PCR-based methods is being challenged due to the extraordinary demand of supplies, such as RNA extraction kits and PCR reagents worldwide, alternative and/or complementary testing assays should be developed. Here, we exploit the potential of mass spectrometry technology combined with machine learning algorithms as an alternative fast tool for SARS-CoV-2 detection from nasopharyngeal swabs samples. According to our preliminary results, mass spectrometry-based methods combined with multivariate analysis showed an interesting potential as a complementary diagnostic tool and further steps should be focused on sample preparation protocols and the improvement of the technology applied.

microbiology↗