Cargando…
Quantity of IgG response to SARS-CoV-2 spike glycoprotein predicts pulmonary recovery from COVID-19
The CovILD study is a prospective, multicenter, observational cohort study to systematically follow up patients after coronavirus disease-2019 (COVID-19). We extensively evaluated 145 COVID-19 patients at 3 follow-up visits scheduled for 60, 100, and 180 days after initial confirmed diagnosis based...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901626/ https://www.ncbi.nlm.nih.gov/pubmed/35256646 http://dx.doi.org/10.1038/s41598-022-07489-6 |
_version_ | 1784664406354821120 |
---|---|
author | Nairz, Manfred Sahanic, Sabina Pizzini, Alex Böhm, Anna Tymoszuk, Piotr Mitterstiller, Anna-Maria von Raffay, Laura Grubwieser, Philipp Bellmann-Weiler, Rosa Koppelstätter, Sabine Schroll, Andrea Haschka, David Zimmermann, Martina Blunder, Silvia Trattnig, Kristina Naschberger, Helene Klotz, Werner Theurl, Igor Petzer, Verena Gehrer, Clemens Mindur, John E. Luger, Anna Schwabl, Christoph Widmann, Gerlig Weiss, Günter Löffler-Ragg, Judith Tancevski, Ivan Sonnweber, Thomas |
author_facet | Nairz, Manfred Sahanic, Sabina Pizzini, Alex Böhm, Anna Tymoszuk, Piotr Mitterstiller, Anna-Maria von Raffay, Laura Grubwieser, Philipp Bellmann-Weiler, Rosa Koppelstätter, Sabine Schroll, Andrea Haschka, David Zimmermann, Martina Blunder, Silvia Trattnig, Kristina Naschberger, Helene Klotz, Werner Theurl, Igor Petzer, Verena Gehrer, Clemens Mindur, John E. Luger, Anna Schwabl, Christoph Widmann, Gerlig Weiss, Günter Löffler-Ragg, Judith Tancevski, Ivan Sonnweber, Thomas |
author_sort | Nairz, Manfred |
collection | PubMed |
description | The CovILD study is a prospective, multicenter, observational cohort study to systematically follow up patients after coronavirus disease-2019 (COVID-19). We extensively evaluated 145 COVID-19 patients at 3 follow-up visits scheduled for 60, 100, and 180 days after initial confirmed diagnosis based on typical symptoms and a positive reverse transcription-polymerase chain reaction (RT-PCR) for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). We employed comprehensive pulmonary function and laboratory tests, including serum concentrations of IgG against the viral spike (S) glycoprotein, and compared the results to clinical data and chest computed tomography (CT). We found that at the 60 day follow-up, 131 of 145 (90.3%) participants displayed S-specific serum IgG levels above the cut-off threshold. Notably, the highly elevated IgG levels against S glycoprotein positively correlated with biomarkers of immune activation and negatively correlated with pulmonary function and the extent of pulmonary CT abnormalities. Based on the association between serum S glycoprotein-specific IgG and clinical outcome, we generated an S-specific IgG-based recovery score that, when applied in the early convalescent phase, accurately predicted delayed pulmonary recovery after COVID-19. Therefore, we propose that S-specific IgG levels serve as a useful immunological surrogate marker for identifying at-risk individuals with persistent pulmonary injury who may require intensive follow-up care after COVID-19. |
format | Online Article Text |
id | pubmed-8901626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89016262022-03-08 Quantity of IgG response to SARS-CoV-2 spike glycoprotein predicts pulmonary recovery from COVID-19 Nairz, Manfred Sahanic, Sabina Pizzini, Alex Böhm, Anna Tymoszuk, Piotr Mitterstiller, Anna-Maria von Raffay, Laura Grubwieser, Philipp Bellmann-Weiler, Rosa Koppelstätter, Sabine Schroll, Andrea Haschka, David Zimmermann, Martina Blunder, Silvia Trattnig, Kristina Naschberger, Helene Klotz, Werner Theurl, Igor Petzer, Verena Gehrer, Clemens Mindur, John E. Luger, Anna Schwabl, Christoph Widmann, Gerlig Weiss, Günter Löffler-Ragg, Judith Tancevski, Ivan Sonnweber, Thomas Sci Rep Article The CovILD study is a prospective, multicenter, observational cohort study to systematically follow up patients after coronavirus disease-2019 (COVID-19). We extensively evaluated 145 COVID-19 patients at 3 follow-up visits scheduled for 60, 100, and 180 days after initial confirmed diagnosis based on typical symptoms and a positive reverse transcription-polymerase chain reaction (RT-PCR) for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). We employed comprehensive pulmonary function and laboratory tests, including serum concentrations of IgG against the viral spike (S) glycoprotein, and compared the results to clinical data and chest computed tomography (CT). We found that at the 60 day follow-up, 131 of 145 (90.3%) participants displayed S-specific serum IgG levels above the cut-off threshold. Notably, the highly elevated IgG levels against S glycoprotein positively correlated with biomarkers of immune activation and negatively correlated with pulmonary function and the extent of pulmonary CT abnormalities. Based on the association between serum S glycoprotein-specific IgG and clinical outcome, we generated an S-specific IgG-based recovery score that, when applied in the early convalescent phase, accurately predicted delayed pulmonary recovery after COVID-19. Therefore, we propose that S-specific IgG levels serve as a useful immunological surrogate marker for identifying at-risk individuals with persistent pulmonary injury who may require intensive follow-up care after COVID-19. Nature Publishing Group UK 2022-03-07 /pmc/articles/PMC8901626/ /pubmed/35256646 http://dx.doi.org/10.1038/s41598-022-07489-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Nairz, Manfred Sahanic, Sabina Pizzini, Alex Böhm, Anna Tymoszuk, Piotr Mitterstiller, Anna-Maria von Raffay, Laura Grubwieser, Philipp Bellmann-Weiler, Rosa Koppelstätter, Sabine Schroll, Andrea Haschka, David Zimmermann, Martina Blunder, Silvia Trattnig, Kristina Naschberger, Helene Klotz, Werner Theurl, Igor Petzer, Verena Gehrer, Clemens Mindur, John E. Luger, Anna Schwabl, Christoph Widmann, Gerlig Weiss, Günter Löffler-Ragg, Judith Tancevski, Ivan Sonnweber, Thomas Quantity of IgG response to SARS-CoV-2 spike glycoprotein predicts pulmonary recovery from COVID-19 |
title | Quantity of IgG response to SARS-CoV-2 spike glycoprotein predicts pulmonary recovery from COVID-19 |
title_full | Quantity of IgG response to SARS-CoV-2 spike glycoprotein predicts pulmonary recovery from COVID-19 |
title_fullStr | Quantity of IgG response to SARS-CoV-2 spike glycoprotein predicts pulmonary recovery from COVID-19 |
title_full_unstemmed | Quantity of IgG response to SARS-CoV-2 spike glycoprotein predicts pulmonary recovery from COVID-19 |
title_short | Quantity of IgG response to SARS-CoV-2 spike glycoprotein predicts pulmonary recovery from COVID-19 |
title_sort | quantity of igg response to sars-cov-2 spike glycoprotein predicts pulmonary recovery from covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901626/ https://www.ncbi.nlm.nih.gov/pubmed/35256646 http://dx.doi.org/10.1038/s41598-022-07489-6 |
work_keys_str_mv | AT nairzmanfred quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT sahanicsabina quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT pizzinialex quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT bohmanna quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT tymoszukpiotr quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT mitterstillerannamaria quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT vonraffaylaura quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT grubwieserphilipp quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT bellmannweilerrosa quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT koppelstattersabine quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT schrollandrea quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT haschkadavid quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT zimmermannmartina quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT blundersilvia quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT trattnigkristina quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT naschbergerhelene quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT klotzwerner quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT theurligor quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT petzerverena quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT gehrerclemens quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT mindurjohne quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT lugeranna quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT schwablchristoph quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT widmanngerlig quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT weissgunter quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT lofflerraggjudith quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT tancevskiivan quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 AT sonnweberthomas quantityofiggresponsetosarscov2spikeglycoproteinpredictspulmonaryrecoveryfromcovid19 |