Evaluation of lymphocyte subtypes in COVID-19 patients

Abstract Background Although the many aspects of COVID-19 have not been yet recognized, it seems that the dysregulation of the immune system has a very important role in the progression of the disease. In this study the lymphocyte subsets were evaluated in COVID-19 patients with different severity.Methods In this prospective study, the levels of peripheral lymphocyte subsets (CD3+, CD4+, CD8+T cells; CD19+and CD20+B cells; CD16+/CD56+NK cells, and CD4+/CD25+/FOXP3+regulatory T cells) were measured in 67 confirmed patients with COVID-19 on the first day of admission.Results The mean age of cases was 51.3 ± 14.8 years. Thirty-two patients (47.8%) were classified as severe cases and 11 (16.4%) patients were categorized as critical. The frequency of blood lymphocytes, CD3+cells, CD25+FOXP3+T cells; and absolute count of CD3+T cells, CD25+FOXP3+T cells, CD4+T cells, CD8+T cells, CD16+56+lymphocytes were lower in more severe cases in comparison to milder cases. Percentages of lymphocytes, T cells, and NK cells were significantly lower inthe patients who died (p= 0.002 and P= 0.042, p=0.006, respectively).Conclusion Findings of this cohort study suggests that the frequency of CD4+, CD8+, CD25+FOXP3+T cells, and NK cells were difference in the severe COVID-19 patients. Moreover, lower frequency of, T cells, and NK cells are predictors of mortality of these patients..

Medienart:

Preprint

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

bioRxiv.org - (2023) vom: 04. Jan. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

Rezaei, Mitra [VerfasserIn]
Marjani, Majid [VerfasserIn]
Tabarsi, Payam [VerfasserIn]
Moniri, Afshin [VerfasserIn]
purabdollah, Mihan [VerfasserIn]
Abtahian, Zahra [VerfasserIn]
Dizaji, Mehdi Kazempour [VerfasserIn]
Roofchayee, Neda Dalil [VerfasserIn]
Dezfuli, Neda K. [VerfasserIn]
Mansouri, Davood [VerfasserIn]
Hossein-Khannazer, Nikoo [VerfasserIn]
Varahram, Mohamad [VerfasserIn]
Mortaz, Esmaeil [VerfasserIn]
Velayati, Ali Akbar [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2021.07.12.21260382

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI032210272