1. Identification of IL-6 Signalling Components as Predictors of Severity and Outcome in COVID-19.
- Author
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Rodríguez-Hernández MÁ, Carneros D, Núñez-Núñez M, Coca R, Baena R, López-Ruiz GM, Cano-Serrano ME, Martínez-Tellería A, Fuentes-López A, Praena-Fernandez JM, Garbers C, Hernández-Quero J, García F, Rose-John S, and Bustos M
- Subjects
- Cytokine Receptor gp130 metabolism, Humans, Severity of Illness Index, COVID-19 diagnosis, COVID-19 immunology, Interleukin-6 metabolism, Receptors, Interleukin-6 metabolism, Signal Transduction
- Abstract
IL-6 is one of the major mediators of the hyper-inflammatory responses with complex biological functions as it can signal via different modes of action. IL-6 by classical signalling has anti-inflammatory and antibacterial activities, while trans-signalling mediates pro-inflammatory effects. The net biological effect of IL-6 is established by multiple factors beyond its absolute concentration. Here, we assess the relationship between IL-6 signalling variables [IL-6, soluble IL-6R (sIL-6R) and soluble gp130 (sgp130)] and outcomes in a cohort of 366 COVID-19 patients. The potential trans-signalling was evaluated by a ratio between the pro-inflammatory binary IL-6:sIL-6R complex and the inactive ternary IL-6:sIL-6R:sgp130 complex (binary/ternary complex) and the fold molar excess of sgp130 over sIL-6R (FME). Our data provide new evidence that high levels of IL-6, sIL-6R, sgp130, binary/ternary complex ratio, and low FME are independent predictors of COVID-19 severity in survivor patients (without death), and the combination of IL-6 + sIL-6R + sgp130 exhibited the most robust classification capacity. Conversely, in a subgroup of patients with a very poor prognosis, we found that high levels of IL-6 and low levels of sIL-6R, sgp130, and binary/ternary complex ratio were predictors of death. In this context, the highest predictive capacity corresponded to the combined analysis of IL-6 + FME + lymphopenia + creatinine. Herein, we present IL-6 signalling variables as a helpful tool for the early identification and stratification of patients with clear implications for treatment and clinical decision-making., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Rodríguez-Hernández, Carneros, Núñez-Núñez, Coca, Baena, López-Ruiz, Cano-Serrano, Martínez-Tellería, Fuentes-López, Praena-Fernandez, Garbers, Hernández-Quero, García, Rose-John and Bustos.)
- Published
- 2022
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