Naturally activated adaptive immunity in COVID-19 patients.
Xiaofeng YangTongxin DaiXiaobo ZhouHongbo QianRui GuoLei LeiXingzhe ZhangDan ZhangLin ShiYanbin ChengJinsong HuYaling GuoBaojun ZhangPublished in: Journal of cellular and molecular medicine (2020)
Coronavirus disease-2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2) has rapidly spread worldwide, threatening the health and lives of many people. Unfortunately, information regarding the immunological characteristics of COVID-19 patients remains limited. Herein, we collected blood samples from 18 healthy donors (HDs) and 38 COVID-19 patients to analyse changes in the adaptive immune cell populations and their phenotypes. We observed that the lymphocyte percentage moderately decreased, CD4 and CD8 T cell percentage among lymphocytes were similar, and B cell percentage was increased in COVID-19 patients in comparison to that in HDs. T cells, especially CD8 T cells, showed an enhanced expression of late activation marker CD25 and exhaustion marker PD-1. Importantly, SARS-CoV-2 infection increased the percentage of T follicular helper- and germinal centre B-like cells in the blood. The parameters in COVID-19 patients remained unchanged across various age groups. Therefore, we demonstrated that the T and B cells are activated naturally and are functional during SARS-CoV-2 infection. These data provide evidence that the adaptive immunity in most patients could be primed to induce a significant immune response against SARS-CoV-2 infection upon receiving standard medical care.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- coronavirus disease
- immune response
- end stage renal disease
- ejection fraction
- chronic kidney disease
- healthcare
- public health
- newly diagnosed
- peripheral blood
- mental health
- health information
- poor prognosis
- dendritic cells
- prognostic factors
- regulatory t cells
- big data
- inflammatory response
- social media
- deep learning
- kidney transplantation
- data analysis
- artificial intelligence