Literature DB >> 33521069

Gene Expression Profiling Reveals the Shared and Distinct Transcriptional Signatures in Human Lung Epithelial Cells Infected With SARS-CoV-2, MERS-CoV, or SARS-CoV: Potential Implications in Cardiovascular Complications of COVID-19.

Prabhash Kumar Jha1, Aatira Vijay2, Arda Halu3,4, Shizuka Uchida5, Masanori Aikawa1,3,4.   

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative virus for the current global pandemic known as coronavirus disease 2019 (COVID-19). SARS-CoV-2 belongs to the family of single-stranded RNA viruses known as coronaviruses, including the MERS-CoV and SARS-CoV that cause Middle East respiratory syndrome (MERS) and severe acute respiratory syndrome (SARS), respectively. These coronaviruses are associated in the way that they cause mild to severe upper respiratory tract illness. This study has used an unbiased analysis of publicly available gene expression datasets from Gene Expression Omnibus to understand the shared and unique transcriptional signatures of human lung epithelial cells infected with SARS-CoV-2 relative to MERS-CoV or SARS-CoV. A major goal was to discover unique cellular responses to SARS-CoV-2 among these three coronaviruses. Analyzing differentially expressed genes (DEGs) shared by the three datasets led to a set of 17 genes, suggesting the lower expression of genes related to acute inflammatory response (TNF, IL32, IL1A, CXCL1, and CXCL3) in SARS-CoV-2. This subdued transcriptional response to SARS-CoV-2 may cause prolonged viral replication, leading to severe lung damage. Downstream analysis of unique DEGs of SARS-CoV-2 infection revealed changes in genes related to apoptosis (NRP1, FOXO1, TP53INP1, CSF2, and NLRP1), coagulation (F3, PROS1, ITGB3, and TFPI2), and vascular function (VAV3, TYMP, TCF4, and NR2F2), which may contribute to more systemic cardiovascular complications of COVID-19 than MERS and SARS. The study has uncovered a novel set of transcriptomic signatures unique to SARS-CoV-2 infection and shared by three coronaviruses, which may guide the initial efforts in the development of prognostic or therapeutic tools for COVID-19.
Copyright © 2021 Jha, Vijay, Halu, Uchida and Aikawa.

Entities:  

Keywords:  COVID-19 and transcriptome analysis; MERS-CoV; SARS-CoV; SARS-CoV-2; cardiovasclar disease

Year:  2021        PMID: 33521069      PMCID: PMC7844200          DOI: 10.3389/fcvm.2020.623012

Source DB:  PubMed          Journal:  Front Cardiovasc Med        ISSN: 2297-055X


  40 in total

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Journal:  Cell       Date:  2020-05-15       Impact factor: 41.582

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  17 in total

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Authors:  Mir S Adil; Daulat Khulood; S Priya Narayanan; Payaningal R Somanath
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2.  Molecular mechanisms of Na,K-ATPase dysregulation driving alveolar epithelial barrier failure in severe COVID-19.

Authors:  Vitalii Kryvenko; István Vadász
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2021-03-09       Impact factor: 5.464

3.  Dysregulation of ion transport in the lung epithelium infected with SARS-CoV-2.

Authors:  Laura A Dada; Olga Vagin; Jacob I Sznajder
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2021-04-21       Impact factor: 6.011

4.  Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic.

Authors:  Aliakbar Hasankhani; Abolfazl Bahrami; Negin Sheybani; Behzad Aria; Behzad Hemati; Farhang Fatehi; Hamid Ghaem Maghami Farahani; Ghazaleh Javanmard; Mahsa Rezaee; John P Kastelic; Herman W Barkema
Journal:  Front Immunol       Date:  2021-12-15       Impact factor: 7.561

Review 5.  Potential benefits of ginseng against COVID-19 by targeting inflammasomes.

Authors:  Young-Su Yi
Journal:  J Ginseng Res       Date:  2022-04-04       Impact factor: 5.735

6.  Transcriptional Profiling and Machine Learning Unveil a Concordant Biosignature of Type I Interferon-Inducible Host Response Across Nasal Swab and Pulmonary Tissue for COVID-19 Diagnosis.

Authors:  Cheng Zhang; Yi-Gang Feng; Chiwing Tam; Ning Wang; Yibin Feng
Journal:  Front Immunol       Date:  2021-11-22       Impact factor: 7.561

7.  In silico Drug Screening Approach Using L1000-Based Connectivity Map and Its Application to COVID-19.

Authors:  Takaharu Asano; Sarvesh Chelvanambi; Julius L Decano; Mary C Whelan; Elena Aikawa; Masanori Aikawa
Journal:  Front Cardiovasc Med       Date:  2022-03-24

8.  A path-based analysis of infected cell line and COVID-19 patient transcriptome reveals novel potential targets and drugs against SARS-CoV-2.

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Journal:  Res Sq       Date:  2022-03-21

Review 9.  Programmed cell death: the pathways to severe COVID-19?

Authors:  Stefanie M Bader; James P Cooney; Marc Pellegrini; Marcel Doerflinger
Journal:  Biochem J       Date:  2022-03-18       Impact factor: 3.766

Review 10.  Systems analysis shows that thermodynamic physiological and pharmacological fundamentals drive COVID-19 and response to treatment.

Authors:  Richard J Head; Eugenie R Lumbers; Bevyn Jarrott; Felix Tretter; Gary Smith; Kirsty G Pringle; Saiful Islam; Jennifer H Martin
Journal:  Pharmacol Res Perspect       Date:  2022-02
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