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Suppressed transcript diversity and immune response in COVID-19 ICU patients: a longitudinal study
Understanding the dynamic changes in gene expression during Acute Respiratory Distress Syndrome (ARDS) progression in post-acute infection patients is crucial for unraveling the underlying mechanisms. Study investigates the longitudinal changes in gene/transcript expression patterns in hospital-admi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Life Science Alliance LLC
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622646/ https://www.ncbi.nlm.nih.gov/pubmed/37918965 http://dx.doi.org/10.26508/lsa.202302305 |
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author | Mehta, Priyanka Chattopadhyay, Partha Mohite, Ramakant D’Rozario, Ranit Bandopadhyay, Purbita Sarif, Jafar Ray, Yogiraj Ganguly, Dipyaman Pandey, Rajesh |
author_facet | Mehta, Priyanka Chattopadhyay, Partha Mohite, Ramakant D’Rozario, Ranit Bandopadhyay, Purbita Sarif, Jafar Ray, Yogiraj Ganguly, Dipyaman Pandey, Rajesh |
author_sort | Mehta, Priyanka |
collection | PubMed |
description | Understanding the dynamic changes in gene expression during Acute Respiratory Distress Syndrome (ARDS) progression in post-acute infection patients is crucial for unraveling the underlying mechanisms. Study investigates the longitudinal changes in gene/transcript expression patterns in hospital-admitted severe COVID-19 patients with ARDS post-acute SARS-CoV-2 infection. Blood samples were collected at three time points and patients were stratified into severe and mild ARDS, based on their oxygenation saturation (SpO(2)/FiO(2)) kinetics over 7 d. Decline in transcript diversity was observed over time, particularly in patients with higher severity, indicating dysregulated transcriptional landscape. Comparing gene/transcript-level analyses highlighted a rather limited overlap. With disease progression, a transition towards an inflammatory state was evident. Strong association was found between antibody response and disease severity, characterized by decreased antibody response and activated B cell population in severe cases. Bayesian network analysis identified various factors associated with disease progression and severity, viz. humoral response, TLR signaling, inflammatory response, interferon response, and effector T cell abundance. The findings highlight dynamic gene/transcript expression changes during ARDS progression, impact on tissue oxygenation and elucidate disease pathogenesis. |
format | Online Article Text |
id | pubmed-10622646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Life Science Alliance LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-106226462023-11-04 Suppressed transcript diversity and immune response in COVID-19 ICU patients: a longitudinal study Mehta, Priyanka Chattopadhyay, Partha Mohite, Ramakant D’Rozario, Ranit Bandopadhyay, Purbita Sarif, Jafar Ray, Yogiraj Ganguly, Dipyaman Pandey, Rajesh Life Sci Alliance Research Articles Understanding the dynamic changes in gene expression during Acute Respiratory Distress Syndrome (ARDS) progression in post-acute infection patients is crucial for unraveling the underlying mechanisms. Study investigates the longitudinal changes in gene/transcript expression patterns in hospital-admitted severe COVID-19 patients with ARDS post-acute SARS-CoV-2 infection. Blood samples were collected at three time points and patients were stratified into severe and mild ARDS, based on their oxygenation saturation (SpO(2)/FiO(2)) kinetics over 7 d. Decline in transcript diversity was observed over time, particularly in patients with higher severity, indicating dysregulated transcriptional landscape. Comparing gene/transcript-level analyses highlighted a rather limited overlap. With disease progression, a transition towards an inflammatory state was evident. Strong association was found between antibody response and disease severity, characterized by decreased antibody response and activated B cell population in severe cases. Bayesian network analysis identified various factors associated with disease progression and severity, viz. humoral response, TLR signaling, inflammatory response, interferon response, and effector T cell abundance. The findings highlight dynamic gene/transcript expression changes during ARDS progression, impact on tissue oxygenation and elucidate disease pathogenesis. Life Science Alliance LLC 2023-11-02 /pmc/articles/PMC10622646/ /pubmed/37918965 http://dx.doi.org/10.26508/lsa.202302305 Text en © 2023 Mehta et al. https://creativecommons.org/licenses/by/4.0/This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Articles Mehta, Priyanka Chattopadhyay, Partha Mohite, Ramakant D’Rozario, Ranit Bandopadhyay, Purbita Sarif, Jafar Ray, Yogiraj Ganguly, Dipyaman Pandey, Rajesh Suppressed transcript diversity and immune response in COVID-19 ICU patients: a longitudinal study |
title | Suppressed transcript diversity and immune response in COVID-19 ICU patients: a longitudinal study |
title_full | Suppressed transcript diversity and immune response in COVID-19 ICU patients: a longitudinal study |
title_fullStr | Suppressed transcript diversity and immune response in COVID-19 ICU patients: a longitudinal study |
title_full_unstemmed | Suppressed transcript diversity and immune response in COVID-19 ICU patients: a longitudinal study |
title_short | Suppressed transcript diversity and immune response in COVID-19 ICU patients: a longitudinal study |
title_sort | suppressed transcript diversity and immune response in covid-19 icu patients: a longitudinal study |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622646/ https://www.ncbi.nlm.nih.gov/pubmed/37918965 http://dx.doi.org/10.26508/lsa.202302305 |
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