Differential Immune Checkpoint and Ig-like V-Type Receptor Profiles in COVID-19: Associations with Severity and Treatment.
Roberto Lozano-RodríguezVerónica Terrón-ArcosRaúl LópezJuan Martín-GutiérrezAlejandro Martín-QuirósCharbel Maroun-EidElena Muñoz Del ValCarlos Cañada-IllanaAlejandro Pascual-IglesiasJaime Valentín QuirogaKarla Montalbán-HernándezJosé Carlos Casalvilla-DueñasMiguel A García-GarridoÁlvaro Del Balzo-CastilloMaría A Peinado-QuesadaLaura GómezCarmen Herrero-BenitoRay G ButlerJosé Avendaño-OrtizEduardo López-CollazoPublished in: Journal of clinical medicine (2022)
Identifying patients' immune system status has become critical to managing SARS-CoV-2 infection and avoiding the appearance of secondary infections during a hospital stay. Despite the high volume of research, robust severity and outcome markers are still lacking in COVID-19. We recruited 87 COVID-19 patients and analyzed, by unbiased automated software, 356 parameters at baseline emergency department admission including: high depth immune phenotyping and immune checkpoint expression by spectral flow cytometry, cytokines and other soluble molecules in plasma as well as routine clinical variables. We identified 69 baseline alterations in the expression of immune checkpoints, Ig-like V type receptors and other immune population markers associated with severity (O 2 requirement). Thirty-four changes in these markers/populations were associated with secondary infection appearance. In addition, through a longitudinal sample collection, we described the changes which take place in the immune system of COVID-19 patients during secondary infections and in response to corticosteroid treatment. Our study provides information about immune checkpoint molecules and other less-studied receptors with Ig-like V-type domains such as CD108, CD226, HVEM (CD270), B7H3 (CD276), B7H5 (VISTA) and GITR (CD357), defining these as novel interesting molecules in severe and corticosteroids-treated acute infections.
Keyphrases
- sars cov
- emergency department
- coronavirus disease
- flow cytometry
- poor prognosis
- end stage renal disease
- newly diagnosed
- healthcare
- optical coherence tomography
- binding protein
- high throughput
- ejection fraction
- liver failure
- computed tomography
- machine learning
- prognostic factors
- nk cells
- clinical practice
- intensive care unit
- peritoneal dialysis
- adverse drug
- long non coding rna
- extracorporeal membrane oxygenation
- smoking cessation
- single cell
- data analysis