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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...

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Autores principales: Mehta, Priyanka, Chattopadhyay, Partha, Mohite, Ramakant, D’Rozario, Ranit, Bandopadhyay, Purbita, Sarif, Jafar, Ray, Yogiraj, Ganguly, Dipyaman, Pandey, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2023
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.
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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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