Circulating proteins to predict COVID-19 severity

Predicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4701 circulating human protein abundances in two independent cohorts totaling 986 individuals. We then trained prediction models including protein abundance...

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Detalles Bibliográficos
Autores principales: Su, Chen-Yang, Zhou, Sirui, Gonzalez-Kozlova, Edgar, Butler-Laporte, Guillaume, Brunet-Ratnasingham, Elsa, Nakanishi, Tomoko, Jeon, Wonseok, Morrison, David R., Laurent, Laetitia, Afilalo, Jonathan, Afilalo, Marc, Henry, Danielle, Chen, Yiheng, Carrasco-Zanini, Julia, Farjoun, Yossi, Pietzner, Maik, Kimchi, Nofar, Afrasiabi, Zaman, Rezk, Nardin, Bouab, Meriem, Petitjean, Louis, Guzman, Charlotte, Xue, Xiaoqing, Tselios, Chris, Vulesevic, Branka, Adeleye, Olumide, Abdullah, Tala, Almamlouk, Noor, Moussa, Yara, DeLuca, Chantal, Duggan, Naomi, Schurr, Erwin, Brassard, Nathalie, Durand, Madeleine, Del Valle, Diane Marie, Thompson, Ryan, Cedillo, Mario A., Schadt, Eric, Nie, Kai, Simons, Nicole W., Mouskas, Konstantinos, Zaki, Nicolas, Patel, Manishkumar, Xie, Hui, Harris, Jocelyn, Marvin, Robert, Cheng, Esther, Tuballes, Kevin, Argueta, Kimberly, Scott, Ieisha, Greenwood, Celia M. T., Paterson, Clare, Hinterberg, Michael A., Langenberg, Claudia, Forgetta, Vincenzo, Pineau, Joelle, Mooser, Vincent, Marron, Thomas, Beckmann, Noam D., Kim-schulze, Seunghee, Charney, Alexander W., Gnjatic, Sacha, Kaufmann, Daniel E., Merad, Miriam, Richards, J. Brent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107586/
https://www.ncbi.nlm.nih.gov/pubmed/37069249
http://dx.doi.org/10.1038/s41598-023-31850-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107586/
https://www.ncbi.nlm.nih.gov/pubmed/37069249
http://dx.doi.org/10.1038/s41598-023-31850-y

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