Machine learning, whole genome sequencing, and Mendelian randomization support a role of CRP on COVID-19 severity
Francesca Lantieri, Stefania Croci, Sergio Decherchi, Marta Rusmini, Giada Recchi, Martina Bonacini, Ilaria Ferrigno, Alessandro Rossi, Yeraldin Chiquinquira Castillo De Spelorzi, Edoardo Henzen, Francesca Rosamilia, Davide Cangelosi, Fabio Landuzzi, Andrea Angius, Vincenzo Rallo, Pamela Mancuso, An · 2026
Read Machine learning, whole genome sequencing, and Mendelian randomization support a role of CRP on COVID-19 severity by Francesca Lantieri, Stefania Croci, Sergio Decherchi, Marta Rusmini, Giada Recchi, Martina Bonacini, Ilaria Ferrigno, Alessandro Rossi, Yeraldin Chiquinquira Castillo De Spelorzi, Edoardo Henzen, Francesca Rosamilia, Davide Cangelosi, Fabio Landuzzi, Andrea Angius, Vincenzo Rallo, Pamela Mancuso, An (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13393844.txt.
Description
Francesca Lantieri and others ask why COVID-19 hits some people far harder than others in a 2026 study of 200 patients. Host traits, genes, and long-term low-grade body defense activity were prime suspects, but the links needed proof in joined clinical and gene data.
Patients were split into mild cases kept out of hospital and severe cases kept in. Clear machine learning on blood markers, gene-wide scans for severity genes, and a gene-based causal test asked whether chronic low-grade defense activity, marked by CRP, truly worsened illness. The paper firms up the case that body defense tone drives severity and may be a drug target.
Catalog record
| CREATOR | Francesca Lantieri, Stefania Croci, Sergio Decherchi, Marta Rusmini, Giada Recchi, Martina Bonacini, Ilaria Ferrigno, Alessandro Rossi, Yeraldin Chiquinquira Castillo De Spelorzi, Edoardo Henzen, Francesca Rosamilia, Davide Cangelosi, Fabio Landuzzi, Andrea Angius, Vincenzo Rallo, Pamela Mancuso, An |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 63 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |