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| Status |
Public on Jun 14, 2023 |
| Title |
Associations of miRNAs with blood phenotypes and ICU admission in COVID-19 patients [miRNA-seq] |
| Organism |
Homo sapiens |
| Experiment type |
Non-coding RNA profiling by high throughput sequencing
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| Summary |
Individuals infected with SARS-CoV-2 vary greatly in their symptomatology and disease progression, likely as a result of numerous genetic, biological and environmental factors and their complex interactions. Meanwhile, the potential roles of microRNAs (miRNAs) in SARS-CoV-2 infection have not been fully described. MiRNAs have emerged as key post-transcriptional regulators of gene expression, and their dysregulation can be indicative of aberrant immune function. In this study, we characterize the potential roles of mIRNAs in early COVID-19 disease progression. We studied a diverse cohort of 259 patients admitted to hospitals in Abu Dhabi, United Arab Emirates to understand the clinical and biological factors associated with ICU admission during COVID-19 treatment, integrating electronic health records (EHR), global miRNA and RNA expression, and genotyping data. Using EHR, we identified 26 factors correlated with ICU admission, including 8 blood phenotypes such as neutrophil-to-lymphocyte ratio, Interleukin-6, and C-reactive protein levels. Using genome-wide miRNA expression data for a subset of 96 individuals from Southeast Asia and the Middle East and North Africa, we identified 27 miRNAs significantly associated with ICU admission (p < 0.01), and 97 miRNAs associated with at least one of the 8 blood phenotypes. [cross-cor] Integrating expression data for 632 miRNAs and genotyping data for ~260,000 SNPs, we identified 168 significant cis-expression quantitative trait loci (cis-eQTLs), of which 59 were associated with either ICU admission or one of the 8 blood phentoypes. Overall, our findings characterize the miRNA architecture of blood phenotypes during the early stages of COVID-19 infection, identify miRNAs associated with ICU admission and therefore COVID-19 disease severity, and suggest a potential genetic control of miRNA expression during early COVID-19 disease progression.
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| Overall design |
Blood samples from patients with SARS-CoV2 infection were collected into tempus tubes at time of diagnosis (i.e. 1st timepoint). Total RNA was extracted from whole blood samples of the 96 patients where miRNA-seq was performed, and mRNA sequencing was performed on the same samples.
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| Contributor(s) |
Gjorgjieva T, Chaloemtoem A, AlShaikh M, Shahin T, Bayara O, AlBaqi MA, Monte JD, Begum G, Dieng MM, Leonor C, Drou N, Arshad A, Idaghdour Y |
| Citation(s) |
37303042 |
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| Submission date |
Dec 05, 2022 |
| Last update date |
Jun 15, 2023 |
| Contact name |
Youssef Idaghdour |
| E-mail(s) |
youssef.idaghdour@nyu.edu
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| Organization name |
NYUAD
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| Department |
Biology
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| Lab |
Division of Science and Mathematics
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| Street address |
Saadiyat Marina District
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| City |
Abu dhabi |
| State/province |
Abu dhabi |
| ZIP/Postal code |
129188 |
| Country |
United Arab Emirates |
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| Platforms (1) |
| GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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| Samples (96)
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| This SubSeries is part of SuperSeries: |
| GSE220078 |
Associations of miRNAs with blood phenotypes and ICU admission in COVID-19 patients |
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| Relations |
| BioProject |
PRJNA908778 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE220077_RAW.tar |
980.0 Kb |
(http)(custom) |
TAR (of TXT) |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
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