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Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients.
Bando, Silvia Y; Bertonha, Fernanda B; Vieira, Sandra E; de Oliveira, Danielle B L; Chalup, Vanessa N; Durigon, Edison L; Palmeira, Patricia; Curi, Ana Cristina P; Faria, Caroline S; Antonangelo, Leila; Lauterbach, Gerhard da P; Regalio, Fabiane A; Cesar, Roberto M; Moreira-Filho, Carlos A.
  • Bando SY; Department of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 05403-900, Brazil.
  • Bertonha FB; Department of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 05403-900, Brazil.
  • Vieira SE; Department of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 05403-900, Brazil.
  • de Oliveira DBL; Instituto Israelita de Ensino e Pesquisa Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, 01310-200, Brazil.
  • Chalup VN; Department of Microbiology, Laboratory of Clinical and Molecular Virology, Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, SP, 05508-040, Brazil.
  • Durigon EL; Department of Microbiology, Laboratory of Clinical and Molecular Virology, Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, SP, 05508-040, Brazil.
  • Palmeira P; Department of Microbiology, Laboratory of Clinical and Molecular Virology, Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, SP, 05508-040, Brazil.
  • Curi ACP; Department of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 05403-900, Brazil.
  • Faria CS; Department of Pediatrics, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 05403-900, Brazil.
  • Antonangelo L; Laboratório de Investigação Médica (LIM03), Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil.
  • Lauterbach GDP; Laboratório de Investigação Médica (LIM03), Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil.
  • Regalio FA; Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil.
  • Cesar RM; Divisão de Anestesia, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, 01246-903, Brazil.
  • Moreira-Filho CA; Department of Computer Science, Instituto de Matemática e Estatística da Universidade de São Paulo, São Paulo, SP, 05508-040, Brazil.
Sci Rep ; 13(1): 898, 2023 01 17.
Article in English | MEDLINE | ID: covidwho-2186097
ABSTRACT
Since the molecular mechanisms determining COVID-19 severity are not yet well understood, there is a demand for biomarkers derived from comparative transcriptome analyses of mild and severe cases, combined with patients' clinico-demographic and laboratory data. Here the transcriptomic response of human leukocytes to SARS-CoV-2 infection was investigated by focusing on the differences between mild and severe cases and between age subgroups (younger and older adults). Three transcriptional modules correlated with these traits were functionally characterized, as well as 23 differentially expressed genes (DEGs) associated to disease severity. One module, correlated with severe cases and older patients, had an overrepresentation of genes involved in innate immune response and in neutrophil activation, whereas two other modules, correlated with disease severity and younger patients, harbored genes involved in the innate immune response to viral infections, and in the regulation of this response. This transcriptomic mechanism could be related to the better outcome observed in younger COVID-19 patients. The DEGs, all hyper-expressed in the group of severe cases, were mostly involved in neutrophil activation and in the p53 pathway, therefore related to inflammation and lymphopenia. These biomarkers may be useful for getting a better stratification of risk factors in COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Age Factors / Patient Acuity / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Sci Rep Year: 2023 Document Type: Article Affiliation country: S41598-023-28227-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Age Factors / Patient Acuity / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Sci Rep Year: 2023 Document Type: Article Affiliation country: S41598-023-28227-6