Differential microRNA expression in the peripheral blood from human patients with COVID‐19

Introduction The coronavirus disease (COVID‐19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), which play important roles in regulating gene expression and are also considered as essential modulators during viral infection. The aim of this study was to elucidate the diffe...

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Published inJournal of clinical laboratory analysis Vol. 34; no. 10; pp. e23590 - n/a
Main Authors Li, Caixia, Hu, Xiao, Li, Leilei, Li, Jin‐hui
Format Journal Article
LanguageEnglish
Published United States John Wiley & Sons, Inc 01.10.2020
John Wiley and Sons Inc
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Online AccessGet full text
ISSN0887-8013
1098-2825
1098-2825
DOI10.1002/jcla.23590

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Abstract Introduction The coronavirus disease (COVID‐19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), which play important roles in regulating gene expression and are also considered as essential modulators during viral infection. The aim of this study was to elucidate the differential expression of miRNAs in COVID‐19. Methods The total RNA was extracted and purified from the peripheral blood of ten patients with COVID‐19 and four healthy donors. The expression levels of various miRNAs were detected by high‐throughput sequencing, and correlation analysis was performed on the target genes that are primed by miRNAs. Key findings Compared with the healthy controls, 35 miRNAs were upregulated and 38 miRNAs were downregulated in the human patients with COVID‐19. The top 10 genes were listed below: hsa‐miR‐16‐2‐3P,hsa‐miR‐5695,hsa‐miR‐10399‐3P,hsa‐miR‐6501‐5P,hsa‐miR‐361‐3P,hsa‐miR‐361‐3p, hsa‐miR‐4659a‐3p, hsa‐miR‐142‐5p, hsa‐miR‐4685‐3p, hsa‐miR‐454‐5p, and hsa‐miR‐30c‐5p. The 10 genes with the greatest reduction were listed below: hsa‐miR‐183‐5p, hsa‐miR‐627‐5p, hsa‐miR‐941, hsa‐miR‐21‐5p, hsa‐miR‐20a‐5p, hsa‐miR‐146b‐5p, hsa‐miR‐454‐3p, hsa‐miR‐18a‐5p, hsa‐miR‐340‐5p, and hsa‐miR‐17‐5p. Remarkably, miR‐16‐2‐3p was the most upregulated miRNA, with a 1.6‐fold change compared to that of the controls. Moreover, the expression of miR‐6501‐5p and miR‐618 was 1.5‐fold higher in the COVID‐19 patients than in the healthy donors. Meanwhile, miR‐627‐5p was the most downregulated miRNA, with a 2.3‐fold change compared to that of the controls. The expression of other miRNAs (miR‐183‐5p, miR‐627‐5p, and miR‐144‐3p) was reduced by more than 1.3‐fold compared to that of the healthy donors. Cluster analysis revealed that all of the differentially expressed miRNA target genes were clustered by their regulation of cellular components, molecular functions, and biological processes. Importantly, peptidases, protein kinases, and the ubiquitin system were shown to be the highest enrichment categories by enrichment analysis. Conclusions The differential miRNA expression found in COVID‐19 patients may regulate the immune responses and viral replication during viral infection. Extract periperal blood cells from COVID‐19 patients, and micRNAs were detected by high‐throughput sequencing using illumina HiseqX Ten machine to fint the differential expression of miRNAs in COVID‐19.
AbstractList IntroductionThe coronavirus disease (COVID‐19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), which play important roles in regulating gene expression and are also considered as essential modulators during viral infection. The aim of this study was to elucidate the differential expression of miRNAs in COVID‐19.MethodsThe total RNA was extracted and purified from the peripheral blood of ten patients with COVID‐19 and four healthy donors. The expression levels of various miRNAs were detected by high‐throughput sequencing, and correlation analysis was performed on the target genes that are primed by miRNAs.Key findingsCompared with the healthy controls, 35 miRNAs were upregulated and 38 miRNAs were downregulated in the human patients with COVID‐19. The top 10 genes were listed below: hsa‐miR‐16‐2‐3P,hsa‐miR‐5695,hsa‐miR‐10399‐3P,hsa‐miR‐6501‐5P,hsa‐miR‐361‐3P,hsa‐miR‐361‐3p, hsa‐miR‐4659a‐3p, hsa‐miR‐142‐5p, hsa‐miR‐4685‐3p, hsa‐miR‐454‐5p, and hsa‐miR‐30c‐5p. The 10 genes with the greatest reduction were listed below: hsa‐miR‐183‐5p, hsa‐miR‐627‐5p, hsa‐miR‐941, hsa‐miR‐21‐5p, hsa‐miR‐20a‐5p, hsa‐miR‐146b‐5p, hsa‐miR‐454‐3p, hsa‐miR‐18a‐5p, hsa‐miR‐340‐5p, and hsa‐miR‐17‐5p. Remarkably, miR‐16‐2‐3p was the most upregulated miRNA, with a 1.6‐fold change compared to that of the controls. Moreover, the expression of miR‐6501‐5p and miR‐618 was 1.5‐fold higher in the COVID‐19 patients than in the healthy donors. Meanwhile, miR‐627‐5p was the most downregulated miRNA, with a 2.3‐fold change compared to that of the controls. The expression of other miRNAs (miR‐183‐5p, miR‐627‐5p, and miR‐144‐3p) was reduced by more than 1.3‐fold compared to that of the healthy donors. Cluster analysis revealed that all of the differentially expressed miRNA target genes were clustered by their regulation of cellular components, molecular functions, and biological processes. Importantly, peptidases, protein kinases, and the ubiquitin system were shown to be the highest enrichment categories by enrichment analysis.ConclusionsThe differential miRNA expression found in COVID‐19 patients may regulate the immune responses and viral replication during viral infection.
Introduction The coronavirus disease (COVID‐19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), which play important roles in regulating gene expression and are also considered as essential modulators during viral infection. The aim of this study was to elucidate the differential expression of miRNAs in COVID‐19. Methods The total RNA was extracted and purified from the peripheral blood of ten patients with COVID‐19 and four healthy donors. The expression levels of various miRNAs were detected by high‐throughput sequencing, and correlation analysis was performed on the target genes that are primed by miRNAs. Key findings Compared with the healthy controls, 35 miRNAs were upregulated and 38 miRNAs were downregulated in the human patients with COVID‐19. The top 10 genes were listed below: hsa‐miR‐16‐2‐3P,hsa‐miR‐5695,hsa‐miR‐10399‐3P,hsa‐miR‐6501‐5P,hsa‐miR‐361‐3P,hsa‐miR‐361‐3p, hsa‐miR‐4659a‐3p, hsa‐miR‐142‐5p, hsa‐miR‐4685‐3p, hsa‐miR‐454‐5p, and hsa‐miR‐30c‐5p. The 10 genes with the greatest reduction were listed below: hsa‐miR‐183‐5p, hsa‐miR‐627‐5p, hsa‐miR‐941, hsa‐miR‐21‐5p, hsa‐miR‐20a‐5p, hsa‐miR‐146b‐5p, hsa‐miR‐454‐3p, hsa‐miR‐18a‐5p, hsa‐miR‐340‐5p, and hsa‐miR‐17‐5p. Remarkably, miR‐16‐2‐3p was the most upregulated miRNA, with a 1.6‐fold change compared to that of the controls. Moreover, the expression of miR‐6501‐5p and miR‐618 was 1.5‐fold higher in the COVID‐19 patients than in the healthy donors. Meanwhile, miR‐627‐5p was the most downregulated miRNA, with a 2.3‐fold change compared to that of the controls. The expression of other miRNAs (miR‐183‐5p, miR‐627‐5p, and miR‐144‐3p) was reduced by more than 1.3‐fold compared to that of the healthy donors. Cluster analysis revealed that all of the differentially expressed miRNA target genes were clustered by their regulation of cellular components, molecular functions, and biological processes. Importantly, peptidases, protein kinases, and the ubiquitin system were shown to be the highest enrichment categories by enrichment analysis. Conclusions The differential miRNA expression found in COVID‐19 patients may regulate the immune responses and viral replication during viral infection. Extract periperal blood cells from COVID‐19 patients, and micRNAs were detected by high‐throughput sequencing using illumina HiseqX Ten machine to fint the differential expression of miRNAs in COVID‐19.
The coronavirus disease (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which play important roles in regulating gene expression and are also considered as essential modulators during viral infection. The aim of this study was to elucidate the differential expression of miRNAs in COVID-19.INTRODUCTIONThe coronavirus disease (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which play important roles in regulating gene expression and are also considered as essential modulators during viral infection. The aim of this study was to elucidate the differential expression of miRNAs in COVID-19.The total RNA was extracted and purified from the peripheral blood of ten patients with COVID-19 and four healthy donors. The expression levels of various miRNAs were detected by high-throughput sequencing, and correlation analysis was performed on the target genes that are primed by miRNAs.METHODSThe total RNA was extracted and purified from the peripheral blood of ten patients with COVID-19 and four healthy donors. The expression levels of various miRNAs were detected by high-throughput sequencing, and correlation analysis was performed on the target genes that are primed by miRNAs.Compared with the healthy controls, 35 miRNAs were upregulated and 38 miRNAs were downregulated in the human patients with COVID-19. The top 10 genes were listed below: hsa-miR-16-2-3P,hsa-miR-5695,hsa-miR-10399-3P,hsa-miR-6501-5P,hsa-miR-361-3P,hsa-miR-361-3p, hsa-miR-4659a-3p, hsa-miR-142-5p, hsa-miR-4685-3p, hsa-miR-454-5p, and hsa-miR-30c-5p. The 10 genes with the greatest reduction were listed below: hsa-miR-183-5p, hsa-miR-627-5p, hsa-miR-941, hsa-miR-21-5p, hsa-miR-20a-5p, hsa-miR-146b-5p, hsa-miR-454-3p, hsa-miR-18a-5p, hsa-miR-340-5p, and hsa-miR-17-5p. Remarkably, miR-16-2-3p was the most upregulated miRNA, with a 1.6-fold change compared to that of the controls. Moreover, the expression of miR-6501-5p and miR-618 was 1.5-fold higher in the COVID-19 patients than in the healthy donors. Meanwhile, miR-627-5p was the most downregulated miRNA, with a 2.3-fold change compared to that of the controls. The expression of other miRNAs (miR-183-5p, miR-627-5p, and miR-144-3p) was reduced by more than 1.3-fold compared to that of the healthy donors. Cluster analysis revealed that all of the differentially expressed miRNA target genes were clustered by their regulation of cellular components, molecular functions, and biological processes. Importantly, peptidases, protein kinases, and the ubiquitin system were shown to be the highest enrichment categories by enrichment analysis.KEY FINDINGSCompared with the healthy controls, 35 miRNAs were upregulated and 38 miRNAs were downregulated in the human patients with COVID-19. The top 10 genes were listed below: hsa-miR-16-2-3P,hsa-miR-5695,hsa-miR-10399-3P,hsa-miR-6501-5P,hsa-miR-361-3P,hsa-miR-361-3p, hsa-miR-4659a-3p, hsa-miR-142-5p, hsa-miR-4685-3p, hsa-miR-454-5p, and hsa-miR-30c-5p. The 10 genes with the greatest reduction were listed below: hsa-miR-183-5p, hsa-miR-627-5p, hsa-miR-941, hsa-miR-21-5p, hsa-miR-20a-5p, hsa-miR-146b-5p, hsa-miR-454-3p, hsa-miR-18a-5p, hsa-miR-340-5p, and hsa-miR-17-5p. Remarkably, miR-16-2-3p was the most upregulated miRNA, with a 1.6-fold change compared to that of the controls. Moreover, the expression of miR-6501-5p and miR-618 was 1.5-fold higher in the COVID-19 patients than in the healthy donors. Meanwhile, miR-627-5p was the most downregulated miRNA, with a 2.3-fold change compared to that of the controls. The expression of other miRNAs (miR-183-5p, miR-627-5p, and miR-144-3p) was reduced by more than 1.3-fold compared to that of the healthy donors. Cluster analysis revealed that all of the differentially expressed miRNA target genes were clustered by their regulation of cellular components, molecular functions, and biological processes. Importantly, peptidases, protein kinases, and the ubiquitin system were shown to be the highest enrichment categories by enrichment analysis.The differential miRNA expression found in COVID-19 patients may regulate the immune responses and viral replication during viral infection.CONCLUSIONSThe differential miRNA expression found in COVID-19 patients may regulate the immune responses and viral replication during viral infection.
Extract periperal blood cells from COVID‐19 patients, and micRNAs were detected by high‐throughput sequencing using illumina HiseqX Ten machine to fint the differential expression of miRNAs in COVID‐19.
The coronavirus disease (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which play important roles in regulating gene expression and are also considered as essential modulators during viral infection. The aim of this study was to elucidate the differential expression of miRNAs in COVID-19. The total RNA was extracted and purified from the peripheral blood of ten patients with COVID-19 and four healthy donors. The expression levels of various miRNAs were detected by high-throughput sequencing, and correlation analysis was performed on the target genes that are primed by miRNAs. Compared with the healthy controls, 35 miRNAs were upregulated and 38 miRNAs were downregulated in the human patients with COVID-19. The top 10 genes were listed below: hsa-miR-16-2-3P,hsa-miR-5695,hsa-miR-10399-3P,hsa-miR-6501-5P,hsa-miR-361-3P,hsa-miR-361-3p, hsa-miR-4659a-3p, hsa-miR-142-5p, hsa-miR-4685-3p, hsa-miR-454-5p, and hsa-miR-30c-5p. The 10 genes with the greatest reduction were listed below: hsa-miR-183-5p, hsa-miR-627-5p, hsa-miR-941, hsa-miR-21-5p, hsa-miR-20a-5p, hsa-miR-146b-5p, hsa-miR-454-3p, hsa-miR-18a-5p, hsa-miR-340-5p, and hsa-miR-17-5p. Remarkably, miR-16-2-3p was the most upregulated miRNA, with a 1.6-fold change compared to that of the controls. Moreover, the expression of miR-6501-5p and miR-618 was 1.5-fold higher in the COVID-19 patients than in the healthy donors. Meanwhile, miR-627-5p was the most downregulated miRNA, with a 2.3-fold change compared to that of the controls. The expression of other miRNAs (miR-183-5p, miR-627-5p, and miR-144-3p) was reduced by more than 1.3-fold compared to that of the healthy donors. Cluster analysis revealed that all of the differentially expressed miRNA target genes were clustered by their regulation of cellular components, molecular functions, and biological processes. Importantly, peptidases, protein kinases, and the ubiquitin system were shown to be the highest enrichment categories by enrichment analysis. The differential miRNA expression found in COVID-19 patients may regulate the immune responses and viral replication during viral infection.
Author Li, Caixia
Li, Leilei
Li, Jin‐hui
Hu, Xiao
AuthorAffiliation 1 Department of General practice School of Medicine The Fourth Affiliated Hospital Zhejiang University Yiwu China
6 Department of Rehabilitation and Traditional Chinese Medicine The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
4 Department of Operating Room School of Medicine The Fourth Affiliated Hospital Zhejiang University Yiwu China
2 Department of Anesthesiology The First Affiliated Hospital School of Medicine Zhejiang University Hangzhou China
3 Department of Laboratory Medicine School of Medicine The Fourth Affiliated Hospital Zhejiang University Yiwu China
5 Department of Rehabilitation Medicine School of Medicine The Fourth Affiliated Hospital Zhejiang University Yiwu China
AuthorAffiliation_xml – name: 1 Department of General practice School of Medicine The Fourth Affiliated Hospital Zhejiang University Yiwu China
– name: 2 Department of Anesthesiology The First Affiliated Hospital School of Medicine Zhejiang University Hangzhou China
– name: 6 Department of Rehabilitation and Traditional Chinese Medicine The Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou China
– name: 4 Department of Operating Room School of Medicine The Fourth Affiliated Hospital Zhejiang University Yiwu China
– name: 3 Department of Laboratory Medicine School of Medicine The Fourth Affiliated Hospital Zhejiang University Yiwu China
– name: 5 Department of Rehabilitation Medicine School of Medicine The Fourth Affiliated Hospital Zhejiang University Yiwu China
Author_xml – sequence: 1
  givenname: Caixia
  orcidid: 0000-0002-2128-8862
  surname: Li
  fullname: Li, Caixia
  organization: Zhejiang University
– sequence: 2
  givenname: Xiao
  surname: Hu
  fullname: Hu, Xiao
  organization: Zhejiang University
– sequence: 3
  givenname: Leilei
  surname: Li
  fullname: Li, Leilei
  organization: Zhejiang University
– sequence: 4
  givenname: Jin‐hui
  surname: Li
  fullname: Li, Jin‐hui
  email: 2311045@zju.edu.cn
  organization: The Second Affiliated Hospital of Zhejiang University School of Medicine
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32960473$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright 2020 The Authors. Published by Wiley Periodicals LLC
2020 The Authors. Journal of Clinical Laboratory Analysis Published by Wiley Periodicals LLC.
2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: 2020 The Authors. Published by Wiley Periodicals LLC
– notice: 2020 The Authors. Journal of Clinical Laboratory Analysis Published by Wiley Periodicals LLC.
– notice: 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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DOI 10.1002/jcla.23590
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Keywords Bioinformatics analysis
COVID-19
microRNA
high-throughput sequencing
Language English
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2020 The Authors. Journal of Clinical Laboratory Analysis Published by Wiley Periodicals LLC.
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Notes Funding information
Caixia Li and Xiao Hu contributed to this work equally.
This study was supported by the Jinhua Science and Technology Bureau new Crown research key project in Zhejiang Province, China (2020XG‐30).
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Snippet Introduction The coronavirus disease (COVID‐19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), which play important roles in...
The coronavirus disease (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which play important roles in regulating gene...
IntroductionThe coronavirus disease (COVID‐19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), which play important roles in...
Extract periperal blood cells from COVID‐19 patients, and micRNAs were detected by high‐throughput sequencing using illumina HiseqX Ten machine to fint the...
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SubjectTerms Adult
Betacoronavirus
Bioinformatics
Bioinformatics analysis
Chromosome 5
Computational Biology
Coronaviridae
Coronavirus Infections - blood
Coronavirus Infections - epidemiology
Coronaviruses
Correlation analysis
COVID-19
Disease
Female
Gene expression
Gene Expression Profiling
Health care
High-Throughput Nucleotide Sequencing
high‐throughput sequencing
Humans
Immune response
Infections
Male
microRNA
MicroRNAs
MicroRNAs - blood
MicroRNAs - genetics
MicroRNAs - metabolism
Middle Aged
miRNA
Pandemics
Peripheral blood
Pneumonia, Viral - blood
Pneumonia, Viral - epidemiology
Principal components analysis
Protein kinase
SARS-CoV-2
Sequence Analysis, RNA
Severe acute respiratory syndrome coronavirus 2
Ubiquitin
Viral infections
Viruses
Young Adult
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Title Differential microRNA expression in the peripheral blood from human patients with COVID‐19
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