COVID-19 patients display changes in lymphocyte subsets with a higher frequency of dysfunctional CD8lo T cells associated with disease severity

Author:

Onofrio Luisina Ines,Marin Constanza,Dutto Jeremías,Brugo María Belén,Baigorri Ruth Eliana,Bossio Sabrina Noemi,Quiróz Juan Nahuel,Almada Laura,Ruiz Moreno Federico,Olivera Carolina,Silvera-Ruiz Silene M.,Ponce Nicolás Eric,Icely Paula Alejandra,Amezcua Vesely María Carolina,Fozzatti Laura,Rodríguez-Galán María Cecilia,Stempin Cinthia Carolina,Cervi Laura,Maletto Belkys Angélica,Acosta Rodríguez Eva Virginia,Bertone Mariana,Abiega Claudio Daniel,Escudero Daiana,Kahn Adrián,Caeiro Juan Pablo,Maccioni Mariana,Motrán Claudia Cristina,Gruppi Adriana,Sotomayor Claudia Elena,Chiapello Laura Silvina,Montes Carolina Lucia,

Abstract

This work examines cellular immunity against SARS-CoV-2 in patients from Córdoba, Argentina, during two major waves characterized by different circulating viral variants and different social behavior. Using flow cytometry, we evaluated the main lymphocyte populations of peripheral blood from hospitalized patients with moderate and severe COVID-19 disease. Our results show disturbances in the cellular immune compartment, as previously reported in different cohorts worldwide. We observed an increased frequency of B cells and a significant decrease in the frequency of CD3+ T cells in COVID-19 patients compared to healthy donors (HD). We also found a reduction in Tregs, which was more pronounced in severe patients. During the first wave, the frequency of GZMB, CD107a, CD39, and PD-1-expressing conventional CD4+ T (T conv) cells was significantly higher in moderate and severe patients than in HD. During the second wave, only the GZMB+ T conv cells of moderate and severe patients increased significantly. In addition, these patients showed a decreased frequency in IL-2-producing T conv cells. Interestingly, we identified two subsets of circulating CD8+ T cells with low and high CD8 surface expression in both HD and COVID-19 patients. While the percentages of CD8hi and CD8lo T cells within the CD8+ population in HD are similar, a significant increase was observed in CD8lo T cell frequency in COVID-19 patients. CD8lo T cell populations from HD as well as from SARS-CoV-2 infected patients exhibited lower frequencies of the effector cytokine-producing cells, TNF, IL-2, and IFN-γ, than CD8hi T cells. Interestingly, the frequency of CD8lo T cells increased with disease severity, suggesting that this parameter could be a potential marker for disease progression. Indeed, the CD8hi/CD8lo index helped to significantly improve the patient’s clinical stratification and disease outcome prediction. Our data support the addition of, at least, a CD8hi/CD8lo index into the panel of biomarkers commonly used in clinical labs, since its determination may be a useful tool with impact on the therapeutic management of the patients.

Publisher

Frontiers Media SA

Subject

Immunology,Immunology and Allergy

Reference71 articles.

1. Argentina.gob.arCoronavirus. Información, recomendaciones y medidas de prevención del ministerio de salud de la nación2020

2. Phylogenetic analysis and comparative genomics of SARS-CoV-2 from survivor and non-survivor COVID-19 patients in Cordoba, Argentina;Olivero;BMC Genomics,2022

3. Vigilancia activa de variantes de SARS-CoV-2 en la CABA, provincias de Buenos Aires, Chaco, Entre Ríos, Córdoba, Neuquén y Santa Fe. análisis genómico de casos de variante delta en la Argentina. reporte N°272021

4. SARS-CoV-2 viral load predicts COVID-19 mortality;Pujadas;Lancet Respir Med,2020

5. Imbalanced host response to SARS-coV-2 drives development of COVID-19;Blanco-Melo;Cell,2020

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3