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Validation of ANG-1 and P-SEL as biomarkers of post-COVID-19 conditions using data from the Biobanque québécoise de la COVID-19 (BQC-19).
Yamga, Eric; Soulé, Antoine; Piché, Alain; Emad, Amin; Durand, Madeleine; Rousseau, Simon.
Afiliação
  • Yamga E; Department of Medicine, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada.
  • Soulé A; Department of Electrical and Computer Engineering, McGill University, Montréal, Canada.
  • Piché A; Département de Microbiologie et Infectiologie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC, Canada.
  • Emad A; Department of Electrical and Computer Engineering, McGill University, Montréal, Canada.
  • Durand M; Department of Medicine, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada.
  • Rousseau S; Centre de recherche du Centre Hospitalier de l', Université de Montréal (CRCHUM), Montréal, Québec, Canada.
Clin Proteomics ; 20(1): 44, 2023 Oct 24.
Article em En | MEDLINE | ID: mdl-37875801
ABSTRACT
The quest for understanding and managing the long-term effects of COVID-19, often referred to as Long COVID or post-COVID-19 condition (PCC), remains an active research area. Recent findings highlighted angiopoietin-1 (ANG-1) and p-selectin (P-SEL) as potential diagnostic markers, but validation is essential, given the inconsistency in COVID-19 biomarker studies. Leveraging the biobanque québécoise de la COVID-19 (BQC19) biobank, we analyzed the data of 249 participants. Both ANG-1 and P-SEL levels were significantly higher in patients with PCC participants compared with control subjects at 3 months using the Mann-Whitney U test. We managed to reproduce and validate the findings, emphasizing the importance of collaborative biobanking efforts in enhancing the reproducibility and credibility of Long COVID research outcomes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article