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. 2021 Dec 24;138:3587. doi: 10.1182/blood-2021-150660

Autoantibodies Against Type I IFNs in Patients with Ph-Negative Myeloproliferative Neoplasms

Oscar Borsani 1, Paul Bastard 2,3, Jérémie Rosain 2,3, Adrian Gervais 2,3, Emanuela Sant'Antonio 4, Daniele Vanni 1, Ilaria Carola Casetti 1, Daniela Pietra 5, Chiara Trotti 1, Virginia Valeria Ferretti 6, Luca Malcovati 5,1, Luca Arcaini 1,5, Alessandro Borghesi 7, Jean-Laurent Casanova 2,3,8,9, Elisa Rumi 10,5
PMCID: PMC8701420

Abstract

Background. The classic Ph-negative myeloproliferative neoplasms (MPN) are a group of clonal haematopoietic disorders, including polycythemia vera (PV), essential thrombocythemia (ET) and myelofibrosis (MF), whose shared and diverse phenotypic signatures are caused by a dysregulated JAK/STAT signal transduction because of acquired somatic mutations. It has been demonstrated that autoimmune diseases and MPN can be associated (Kristinsson et al., Haematologica. 2010 Jul;95(7):1216-20.), suggesting a common background of immune dysregulation (Barosi, Curr Hematol Malig Rep. 2014 Dec;9(4):331-9). SARS-CoV-2 infection displays extreme inter-individual clinical variability, ranging from silent infection to lethal disease. It has been described that at least 10% of patients with life-threatening coronavirus disease 2019 (COVID-19) pneumonia have neutralizing autoantibodies (AAbs) against type I IFNs, that precede SARS-CoV-2 infection (Bastard et al., Science. 2020 Oct 23;370(6515):eabd4585). In this study we searched for AAbs against type I IFNs in a cohort of MPN patients to evaluate the prevalence of these AAbs in the MPN population and to check for clinical correlations, including severity of COVID-19.

Methods. Plasma samples from consecutively referred MPN patients were prospectively collected between November 2020 and June 2021 and frozen at -30°C immediately after collection. Levels of AAbs against type I IFN subtypes including IFNs alpha, beta and omega were measured using the enzyme-linked immunosorbent assay (ELISA) and a neutralization assay, as previously reported (Bastard et al., Science. 2020 Oct 23;370(6515):eabd4585; Moreews et al., Sci Immunol. 2021 May 25;6(59):eabh1516).

Results. We included a total of 219 MPN patients (101 ET, 76 PV, 36 MF and 6 MPN unclassificable). Neutralizing AAbs to type I IFNs were detected in 29 patients (13.2%, 95%CI: 9.1% - 18.5%). Comparing patients with and without AAbs we observed a significant difference in terms of distribution of MPN diagnosis (P = 0.029) and driver mutations (P = 0.019), while we did not observe a difference in terms of age, sex, and treatment (Table 1). Overall, 29 patients (13%) got SARS-CoV-2 infection and 8 of them (28%) required hospitalization due to severe COVID-19. AAbs against type I IFNs were detected in 4 of the 29 SARS-CoV-2 infected patients. A higher rate of hospitalization for severe COVID-19 was observed in patients with AAbs to type I IFNs (2 of 4 patients, 50%) compared to those without these AAbs (6 of 25 patients, 24%), although the difference did not reach a statistical significance (P = 0.300).

Conclusions. In this study, we detected a prevalence of AAbs against type I IFNs which is much higher in our MPN cohort (13%) than in the general population (2-3%). We also found a correlation between the presence of AAbs to type I IFNs and both the hematological diagnosis and the driver mutation. Despite a comparable prevalence of SARS-CoV-2 infection between MPN patients with or without AAbs to type I IFNs, we observed a different rate of hospitalization due to severe COVID-19 which is almost twice in those with AAbs against type I IFNs compared to those without these AAbs. However, this difference did not reach a statistical significance, probably because of the low number of SARS-CoV-2 infection in the subgroup of patients with AAbs against type I IFNs. Thus, further studies to analyse the prevalence of AAbs against type I IFNs in patients with MPN, their association with other forms of auto-immunity and severe COVID-19 are warranted.

Figure 1.

Figure 1

Disclosures

Arcaini:Gilead Sciences: Research Funding; Bayer, Celgene, Gilead Sciences, Roche, Sandoz, Janssen-Cilag, VERASTEM: Consultancy; Celgene, Roche, Janssen-Cilag, Gilead: Other: Travel expenses; Celgene: Speakers Bureau. Rumi:Novartis, Abbvie: Consultancy.


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