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Immunity Profiling of COVID-19 Infection, Dynamic Variations of Lymphocyte Subsets, a Comparative Analysis on Four Different Groups
Background: A novel coronavirus (SARS-CoV-2)-induced pneumonia (COVID-19) emerged in December 2019 in China, spreading worldwide. The aim of the present investigation was to evaluate the immunological response and the clinical subset of peripheral lymphocyte subset alteration in COVID-19 infection....
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540733/ https://www.ncbi.nlm.nih.gov/pubmed/34683357 http://dx.doi.org/10.3390/microorganisms9102036 |
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author | Balzanelli, Mario Giosuè Distratis, Pietro Dipalma, Gianna Vimercati, Luigi Catucci, Orazio Amatulli, Felice Cefalo, Angelo Lazzaro, Rita Palazzo, Davide Aityan, Sergey Khachatur Pricolo, Giancarla Prudenzano, Antonella D’Errico, Patrizia Laforgia, Rita Pezzolla, Angela Tomassone, Diego Inchingolo, Alessio Danilo Pham, Van Hung Iacobone, Donatello Materi, Giuseppe Mancusi Scarano, Antonio Lorusso, Felice Inchingolo, Francesco Nguyen, Kieu Cao Diem Isacco, Ciro Gargiulo |
author_facet | Balzanelli, Mario Giosuè Distratis, Pietro Dipalma, Gianna Vimercati, Luigi Catucci, Orazio Amatulli, Felice Cefalo, Angelo Lazzaro, Rita Palazzo, Davide Aityan, Sergey Khachatur Pricolo, Giancarla Prudenzano, Antonella D’Errico, Patrizia Laforgia, Rita Pezzolla, Angela Tomassone, Diego Inchingolo, Alessio Danilo Pham, Van Hung Iacobone, Donatello Materi, Giuseppe Mancusi Scarano, Antonio Lorusso, Felice Inchingolo, Francesco Nguyen, Kieu Cao Diem Isacco, Ciro Gargiulo |
author_sort | Balzanelli, Mario Giosuè |
collection | PubMed |
description | Background: A novel coronavirus (SARS-CoV-2)-induced pneumonia (COVID-19) emerged in December 2019 in China, spreading worldwide. The aim of the present investigation was to evaluate the immunological response and the clinical subset of peripheral lymphocyte subset alteration in COVID-19 infection. Methods: the study was conducted on four different clinical groups (n = 4; total n = 138). Each individual was assigned to different groups based on specific criteria evaluated at the admission such as fever, dyspnea, arterial blood gas analysis (ABG), oral-nasopharyngeal swab/RT-PCR, and thoracic CT-scan. Treatment was performed only after blood samples were collected from each patient (PP and PP) at day 1. The blood samples were analyzed and tested the same day (CBC and Flowcytometry). The positive–positive group (PP n = 45; F = 18/ M = 27; median age = 62.33), comprised individuals affected by COVID-19 who showed fever, dyspnea (ABG = pO2 < 60), confirmed positive by oral-nasopharyngeal swab/RT-PCR and with CT-scan showing ground-glass opacities. The negative–positive (NP; n = 37; F = 11/M = 26; median age = 75.94) or “COVID-like” group comprised individuals with fever and dyspnea (ABG = pO2 < 60), who tested negative to nasopharyngeal swab/RT-PCR, with CT-scans showing ground-glass opacities in the lungs. The negative–affected group (NA; n = 40; F = 14/M = 26; median age = 58.5) included individuals negative to COVID-19 (RT-PCR) but affected by different chronic respiratory diseases (the CT-scans didn’t show ground-glass opacities). Finally, the negative–negative group (NN; n = 16; F = 14/M = 2) included healthy patients (NN; n = 16; median age = 42.62). Data and findings were collected and compared. Results: Lymphocytes (%) cells showed a decline in COVID-19 patients. The subsets showed a significant association with the inflammatory status in COVID-19, especially with regard to increased neutrophils, T-killer, T-active, T-suppressor, and T-CD8+CD38+ in individuals belong to the either COVID-19 and Covid-like NP group. Conclusions: Peripheral lymphocyte subset alteration was associated with the clinical characteristics and progression of COVID-19. The level of sub-set cells T-lymphocytes (either high or low) and B-lymphocytes could be used as an independent predictor for COVID-19 severity and treatment efficacy. |
format | Online Article Text |
id | pubmed-8540733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85407332021-10-24 Immunity Profiling of COVID-19 Infection, Dynamic Variations of Lymphocyte Subsets, a Comparative Analysis on Four Different Groups Balzanelli, Mario Giosuè Distratis, Pietro Dipalma, Gianna Vimercati, Luigi Catucci, Orazio Amatulli, Felice Cefalo, Angelo Lazzaro, Rita Palazzo, Davide Aityan, Sergey Khachatur Pricolo, Giancarla Prudenzano, Antonella D’Errico, Patrizia Laforgia, Rita Pezzolla, Angela Tomassone, Diego Inchingolo, Alessio Danilo Pham, Van Hung Iacobone, Donatello Materi, Giuseppe Mancusi Scarano, Antonio Lorusso, Felice Inchingolo, Francesco Nguyen, Kieu Cao Diem Isacco, Ciro Gargiulo Microorganisms Article Background: A novel coronavirus (SARS-CoV-2)-induced pneumonia (COVID-19) emerged in December 2019 in China, spreading worldwide. The aim of the present investigation was to evaluate the immunological response and the clinical subset of peripheral lymphocyte subset alteration in COVID-19 infection. Methods: the study was conducted on four different clinical groups (n = 4; total n = 138). Each individual was assigned to different groups based on specific criteria evaluated at the admission such as fever, dyspnea, arterial blood gas analysis (ABG), oral-nasopharyngeal swab/RT-PCR, and thoracic CT-scan. Treatment was performed only after blood samples were collected from each patient (PP and PP) at day 1. The blood samples were analyzed and tested the same day (CBC and Flowcytometry). The positive–positive group (PP n = 45; F = 18/ M = 27; median age = 62.33), comprised individuals affected by COVID-19 who showed fever, dyspnea (ABG = pO2 < 60), confirmed positive by oral-nasopharyngeal swab/RT-PCR and with CT-scan showing ground-glass opacities. The negative–positive (NP; n = 37; F = 11/M = 26; median age = 75.94) or “COVID-like” group comprised individuals with fever and dyspnea (ABG = pO2 < 60), who tested negative to nasopharyngeal swab/RT-PCR, with CT-scans showing ground-glass opacities in the lungs. The negative–affected group (NA; n = 40; F = 14/M = 26; median age = 58.5) included individuals negative to COVID-19 (RT-PCR) but affected by different chronic respiratory diseases (the CT-scans didn’t show ground-glass opacities). Finally, the negative–negative group (NN; n = 16; F = 14/M = 2) included healthy patients (NN; n = 16; median age = 42.62). Data and findings were collected and compared. Results: Lymphocytes (%) cells showed a decline in COVID-19 patients. The subsets showed a significant association with the inflammatory status in COVID-19, especially with regard to increased neutrophils, T-killer, T-active, T-suppressor, and T-CD8+CD38+ in individuals belong to the either COVID-19 and Covid-like NP group. Conclusions: Peripheral lymphocyte subset alteration was associated with the clinical characteristics and progression of COVID-19. The level of sub-set cells T-lymphocytes (either high or low) and B-lymphocytes could be used as an independent predictor for COVID-19 severity and treatment efficacy. MDPI 2021-09-26 /pmc/articles/PMC8540733/ /pubmed/34683357 http://dx.doi.org/10.3390/microorganisms9102036 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Balzanelli, Mario Giosuè Distratis, Pietro Dipalma, Gianna Vimercati, Luigi Catucci, Orazio Amatulli, Felice Cefalo, Angelo Lazzaro, Rita Palazzo, Davide Aityan, Sergey Khachatur Pricolo, Giancarla Prudenzano, Antonella D’Errico, Patrizia Laforgia, Rita Pezzolla, Angela Tomassone, Diego Inchingolo, Alessio Danilo Pham, Van Hung Iacobone, Donatello Materi, Giuseppe Mancusi Scarano, Antonio Lorusso, Felice Inchingolo, Francesco Nguyen, Kieu Cao Diem Isacco, Ciro Gargiulo Immunity Profiling of COVID-19 Infection, Dynamic Variations of Lymphocyte Subsets, a Comparative Analysis on Four Different Groups |
title | Immunity Profiling of COVID-19 Infection, Dynamic Variations of Lymphocyte Subsets, a Comparative Analysis on Four Different Groups |
title_full | Immunity Profiling of COVID-19 Infection, Dynamic Variations of Lymphocyte Subsets, a Comparative Analysis on Four Different Groups |
title_fullStr | Immunity Profiling of COVID-19 Infection, Dynamic Variations of Lymphocyte Subsets, a Comparative Analysis on Four Different Groups |
title_full_unstemmed | Immunity Profiling of COVID-19 Infection, Dynamic Variations of Lymphocyte Subsets, a Comparative Analysis on Four Different Groups |
title_short | Immunity Profiling of COVID-19 Infection, Dynamic Variations of Lymphocyte Subsets, a Comparative Analysis on Four Different Groups |
title_sort | immunity profiling of covid-19 infection, dynamic variations of lymphocyte subsets, a comparative analysis on four different groups |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540733/ https://www.ncbi.nlm.nih.gov/pubmed/34683357 http://dx.doi.org/10.3390/microorganisms9102036 |
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