Serum cytokine profiling reveals CXCL10 (IP-10) as a major predictor of severe COVID-19 outcomes in hospitalized patients during the first pandemic wave in Italy.
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| Title: | Serum cytokine profiling reveals CXCL10 (IP-10) as a major predictor of severe COVID-19 outcomes in hospitalized patients during the first pandemic wave in Italy. |
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| Authors: | Muglia A; National PhD Programme in One Health approaches to infectious diseases and life science research, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy.; Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy., Petrone D; Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy., Schiavoni I; Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy., Santinelli L; Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy., Leone P; Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy., Bella A; Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy., d'Ettorre G; Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy., Alessandri F; Department of Anaesthesia and Intensive Care, Sapienza University of Rome, Rome, Italy., Palamara AT; Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy., Mastroianni CM; Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy., Stefanelli P; Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy., Fedele G; Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy. |
| Source: | Frontiers in immunology [Front Immunol] 2026 May 25; Vol. 17, pp. 1816573. Date of Electronic Publication: 2026 May 25 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-3224 |
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| DOI: | 10.3389/fimmu.2026.1816573 |
