Title |
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)
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Published in |
Clinical Proteomics, October 2023
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DOI | 10.1186/s12014-023-09436-7 |
Pubmed ID | |
Authors |
Eric Yamga, Antoine Soulé, Alain Piché, Amin Emad, Madeleine Durand, Simon Rousseau |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 6 | 4% |
United States | 5 | 4% |
United Kingdom | 3 | 2% |
France | 2 | 1% |
Mexico | 1 | <1% |
Netherlands | 1 | <1% |
Canada | 1 | <1% |
Spain | 1 | <1% |
Congo | 1 | <1% |
Other | 1 | <1% |
Unknown | 116 | 84% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 126 | 91% |
Scientists | 7 | 5% |
Practitioners (doctors, other healthcare professionals) | 4 | 3% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 1 | 17% |
Student > Ph. D. Student | 1 | 17% |
Researcher | 1 | 17% |
Unknown | 3 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Chemical Engineering | 1 | 17% |
Agricultural and Biological Sciences | 1 | 17% |
Neuroscience | 1 | 17% |
Unknown | 3 | 50% |