| Autor: |
Elisa Saccon, Alessandra Bandera, Mariarita Sciumè, Flora Mikaeloff, Abid A. Lashari, Stefano Aliberti, Michael C. Sachs, Filippo Billi, Francesco Blasi, Erin E. Gabriel, Giorgio Costantino, Pasquale De Roberto, Shuba Krishnan, Andrea Gori, Flora Peyvandi, Luigia Scudeller, Ciro Canetta, Christian L. Lorson, Luca Valenti, Kamal Singh, Luca Baldini, Nicola Stefano Fracchiolla, Ujjwal Neogi |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Microbiology Spectrum, Vol 9, Iss 2 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2165-0497 |
| DOI: |
10.1128/Spectrum.00549-21 |
| Popis: |
ABSTRACT In one year of the coronavirus disease 2019 (COVID-19) pandemic, many studies have described the different metabolic changes occurring in COVID-19 patients, linking these alterations to the disease severity. However, a complete metabolic signature of the most severe cases, especially those with a fatal outcome, is still missing. Our study retrospectively analyzes the metabolome profiles of 75 COVID-19 patients with moderate and severe symptoms admitted to Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico (Lombardy Region, Italy) following SARS-CoV-2 infection between March and April 2020. Italy was the first Western country to experience COVID-19, and the Lombardy Region was the epicenter of the Italian COVID-19 pandemic. This cohort shows a higher mortality rate compared to others; therefore, it represents a unique opportunity to investigate the underlying metabolic profiles of the first COVID-19 patients in Italy and to identify the potential biomarkers related to the disease prognosis and fatal outcome. IMPORTANCE Understanding the metabolic alterations occurring during an infection is a key element for identifying potential indicators of the disease prognosis, which are fundamental for developing efficient diagnostic tools and offering the best therapeutic treatment to the patient. Here, exploiting high-throughput metabolomics data, we identified the first metabolic profile associated with a fatal outcome, not correlated with preexisting clinical conditions or the oxygen demand at the moment of diagnosis. Overall, our results contribute to a better understanding of COVID-19-related metabolic disruption and may represent a useful starting point for the identification of independent prognostic factors to be employed in therapeutic practice. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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