Cargando…

High Number and Specific Comorbidities Could Impact the Immune Response in COVID-19 Patients

BACKGROUND: Cellular immunodeficiency and comorbidities are common in COVID-19 patients. AIM: The purpose of this study was to investigate comorbidities impacting on the cellular immunity in COVID-19 patients. METHODS: The research objects included 55 healthy controls and 718 COVID-19 patients who d...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Dafeng, Yuan, Xiaoyan, Gao, Fengjiao, Zhao, Bennan, Ding, Ling, Huan, Mingchang, Liu, Chao, Jiang, Liangshuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295452/
https://www.ncbi.nlm.nih.gov/pubmed/35865540
http://dx.doi.org/10.3389/fimmu.2022.899930
_version_ 1784750059830640640
author Liu, Dafeng
Yuan, Xiaoyan
Gao, Fengjiao
Zhao, Bennan
Ding, Ling
Huan, Mingchang
Liu, Chao
Jiang, Liangshuang
author_facet Liu, Dafeng
Yuan, Xiaoyan
Gao, Fengjiao
Zhao, Bennan
Ding, Ling
Huan, Mingchang
Liu, Chao
Jiang, Liangshuang
author_sort Liu, Dafeng
collection PubMed
description BACKGROUND: Cellular immunodeficiency and comorbidities are common in COVID-19 patients. AIM: The purpose of this study was to investigate comorbidities impacting on the cellular immunity in COVID-19 patients. METHODS: The research objects included 55 healthy controls and 718 COVID-19 patients who divided into the control group and the COVID-19 group, respectively. Those in the COVID-19 group were divided into subgroups on the basis of the number and types of comorbidities present. Lymphocyte itself and its subsets were compared between the control group and the COVID-19 group, the groups with comorbidities based on the different number and types of comorbidities, and the relationship between the lymphocyte counts and subsets with the number and types of comorbidities was investigated. RESULTS: Compared with the control group, the lymphocyte counts and T cell subsets were significantly increased in the groups with comorbidities, but both B and NK cell subsets were significantly decreased in the no comorbidity group and in most of the groups with comorbidities (all P<0.05). In the three comorbidities group, the lymphocyte counts and T cell subsets were all significantly decreased, but the CD56+ percentage was obviously increased (all P<0.05). The number of comorbidities was negatively correlated with the lymphocyte counts and the T and NK cell subsets. A negative correlation also existed between cancer and both the lymphocyte counts and the T cell subsets, between chronic hepatitis B and the lymphocyte counts, and between chronic kidney disease and the CD3+ counts. A positive correlation existed between nonalcoholic fatty liver disease (NAFLD) disease and both lymphocyte and CD3+ counts. The risk factors were number of comorbidities for the lymphocyte count, CD3+CD4+ and CD3+CD8+ percentages, NAFLD for the lymphocyte and CD3+ counts, cardiovascular diseases for CD3+CD4+ and CD3+CD8+ percentages, diabetes mellitus for the CD3+CD8+ percentage, and cancer for the CD3+ percentage, respectively. CONCLUSIONS: High numbers of comorbidities and specific comorbidities could impact the immune response of COVID-19 patients. This study provides a reference for clinicians in the identification of suitable and timely immunotherapy for COVID-19 patients. CLINICAL TRIAL REGISTRY: https://www.chictr.org.cn/enindex.aspx, identifier ChiCTR2000034563.
format Online
Article
Text
id pubmed-9295452
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-92954522022-07-20 High Number and Specific Comorbidities Could Impact the Immune Response in COVID-19 Patients Liu, Dafeng Yuan, Xiaoyan Gao, Fengjiao Zhao, Bennan Ding, Ling Huan, Mingchang Liu, Chao Jiang, Liangshuang Front Immunol Immunology BACKGROUND: Cellular immunodeficiency and comorbidities are common in COVID-19 patients. AIM: The purpose of this study was to investigate comorbidities impacting on the cellular immunity in COVID-19 patients. METHODS: The research objects included 55 healthy controls and 718 COVID-19 patients who divided into the control group and the COVID-19 group, respectively. Those in the COVID-19 group were divided into subgroups on the basis of the number and types of comorbidities present. Lymphocyte itself and its subsets were compared between the control group and the COVID-19 group, the groups with comorbidities based on the different number and types of comorbidities, and the relationship between the lymphocyte counts and subsets with the number and types of comorbidities was investigated. RESULTS: Compared with the control group, the lymphocyte counts and T cell subsets were significantly increased in the groups with comorbidities, but both B and NK cell subsets were significantly decreased in the no comorbidity group and in most of the groups with comorbidities (all P<0.05). In the three comorbidities group, the lymphocyte counts and T cell subsets were all significantly decreased, but the CD56+ percentage was obviously increased (all P<0.05). The number of comorbidities was negatively correlated with the lymphocyte counts and the T and NK cell subsets. A negative correlation also existed between cancer and both the lymphocyte counts and the T cell subsets, between chronic hepatitis B and the lymphocyte counts, and between chronic kidney disease and the CD3+ counts. A positive correlation existed between nonalcoholic fatty liver disease (NAFLD) disease and both lymphocyte and CD3+ counts. The risk factors were number of comorbidities for the lymphocyte count, CD3+CD4+ and CD3+CD8+ percentages, NAFLD for the lymphocyte and CD3+ counts, cardiovascular diseases for CD3+CD4+ and CD3+CD8+ percentages, diabetes mellitus for the CD3+CD8+ percentage, and cancer for the CD3+ percentage, respectively. CONCLUSIONS: High numbers of comorbidities and specific comorbidities could impact the immune response of COVID-19 patients. This study provides a reference for clinicians in the identification of suitable and timely immunotherapy for COVID-19 patients. CLINICAL TRIAL REGISTRY: https://www.chictr.org.cn/enindex.aspx, identifier ChiCTR2000034563. Frontiers Media S.A. 2022-07-05 /pmc/articles/PMC9295452/ /pubmed/35865540 http://dx.doi.org/10.3389/fimmu.2022.899930 Text en Copyright © 2022 Liu, Yuan, Gao, Zhao, Ding, Huan, Liu and Jiang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Liu, Dafeng
Yuan, Xiaoyan
Gao, Fengjiao
Zhao, Bennan
Ding, Ling
Huan, Mingchang
Liu, Chao
Jiang, Liangshuang
High Number and Specific Comorbidities Could Impact the Immune Response in COVID-19 Patients
title High Number and Specific Comorbidities Could Impact the Immune Response in COVID-19 Patients
title_full High Number and Specific Comorbidities Could Impact the Immune Response in COVID-19 Patients
title_fullStr High Number and Specific Comorbidities Could Impact the Immune Response in COVID-19 Patients
title_full_unstemmed High Number and Specific Comorbidities Could Impact the Immune Response in COVID-19 Patients
title_short High Number and Specific Comorbidities Could Impact the Immune Response in COVID-19 Patients
title_sort high number and specific comorbidities could impact the immune response in covid-19 patients
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295452/
https://www.ncbi.nlm.nih.gov/pubmed/35865540
http://dx.doi.org/10.3389/fimmu.2022.899930
work_keys_str_mv AT liudafeng highnumberandspecificcomorbiditiescouldimpacttheimmuneresponseincovid19patients
AT yuanxiaoyan highnumberandspecificcomorbiditiescouldimpacttheimmuneresponseincovid19patients
AT gaofengjiao highnumberandspecificcomorbiditiescouldimpacttheimmuneresponseincovid19patients
AT zhaobennan highnumberandspecificcomorbiditiescouldimpacttheimmuneresponseincovid19patients
AT dingling highnumberandspecificcomorbiditiescouldimpacttheimmuneresponseincovid19patients
AT huanmingchang highnumberandspecificcomorbiditiescouldimpacttheimmuneresponseincovid19patients
AT liuchao highnumberandspecificcomorbiditiescouldimpacttheimmuneresponseincovid19patients
AT jiangliangshuang highnumberandspecificcomorbiditiescouldimpacttheimmuneresponseincovid19patients