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10.1186/s12920-021-01006-w

http://scihub22266oqcxt.onion/10.1186/s12920-021-01006-w
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34116667!8193593!34116667
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suck abstract from ncbi

pmid34116667      BMC+Med+Genomics 2021 ; 14 (1): 155
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  • A blood RNA transcriptome signature for COVID-19 #MMPMID34116667
  • Kwan PKW; Cross GB; Naftalin CM; Ahidjo BA; Mok CK; Fanusi F; Permata Sari I; Chia SC; Kumar SK; Alagha R; Tham SM; Archuleta S; Sessions OM; Hibberd ML; Paton NI
  • BMC Med Genomics 2021[Jun]; 14 (1): 155 PMID34116667show ga
  • BACKGROUND: COVID-19 is a respiratory viral infection with unique features including a more chronic course and systemic disease manifestations including multiple organ involvement; and there are differences in disease severity between ethnic groups. The immunological basis for disease has not been fully characterised. Analysis of whole-blood RNA expression may provide valuable information on disease pathogenesis. METHODS: We studied 45 patients with confirmed COVID-19 infection within 10 days from onset of illness and a control group of 19 asymptomatic healthy volunteers with no known exposure to COVID-19 in the previous 14 days. Relevant demographic and clinical information was collected and a blood sample was drawn from all participants for whole-blood RNA sequencing. We evaluated differentially-expressed genes in COVID-19 patients (log2 fold change >/= 1 versus healthy controls; false-discovery rate < 0.05) and associated protein pathways and compared these to published whole-blood signatures for respiratory syncytial virus (RSV) and influenza. We developed a disease score reflecting the overall magnitude of expression of internally-validated genes and assessed the relationship between the disease score and clinical disease parameters. RESULTS: We found 135 differentially-expressed genes in the patients with COVID-19 (median age 35 years; 82% male; 36% Chinese, 53% South Asian ethnicity). Of the 117 induced genes, 14 were found in datasets from RSV and 40 from influenza; 95 genes were unique to COVID-19. Protein pathways were mostly generic responses to viral infections, including apoptosis by P53-associated pathway, but also included some unique pathways such as viral carcinogenesis. There were no major qualitative differences in pathways between ethnic groups. The composite gene-expression score was correlated with the time from onset of symptoms and nasal swab qPCR CT values (both p < 0.01) but was not related to participant age, gender, ethnicity or the presence or absence of chest X-ray abnormalities (all p > 0.05). CONCLUSIONS: The whole-blood transcriptome of COVID-19 has overall similarity with other respiratory infections but there are some unique pathways that merit further exploration to determine clinical relevance. The approach to a disease score may be of value, but needs further validation in a population with a greater range of disease severity.
  • |*Transcriptome[MESH]
  • |Adult[MESH]
  • |COVID-19/metabolism/*pathology/virology[MESH]
  • |Carrier State/metabolism/pathology[MESH]
  • |Female[MESH]
  • |Gene Ontology[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |RNA/*blood/chemistry[MESH]
  • |SARS-CoV-2/isolation & purification[MESH]
  • |Sequence Analysis, RNA[MESH]


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