Systematic Review and Meta-analysis of Anti-interferon Auto-antibodies in Infectious Diseases.

Abstract

Purpose: To perform a systematic review and meta-analysis of prevalence and function of anti-interferon auto-antibodies in acute infectious diseases.

Methods: We performed a search on the following electronic bibliographic databases: Medline, Embase, Web of Science and Cochrane. Eligible studies generated a systematic review and random effects model meta-analysis of pooled seroprevalence and neutralisation status of anti-interferon auto-antibodies in acute infectious diseases.

Results: Thirty-seven studies including 12,629 individuals with SARS-CoV-2 infection were analysed. There are insufficient data for meta-analyses of auto-antibodies in non-SARS-CoV-2 infectious diseases, with crude seroprevalence of auto-antibodies varying widely (0.0-77.0%). The pooled seroprevalence of anti-IFNɑ and/or anti-IFN⍵ auto-antibodies in individuals with SARS-CoV-2 infection was 14% (95%CI 9-18%, I² = 92%, [Formula: see text]² = 0.0151, p < 0.01). Pooled prevalence of neutralising auto-antibodies were slightly lower (12%; 95%CI 8-17%, I² = 77%, [Formula: see text]² = 0.0027, p < 0.01). The high heterogeneity may reflect divergent SARS-CoV-2 disease severity across studies, and methodological diversity for measurement and definition of auto-antibody binding and neutralisation. Pooled seroprevalence for anti-IFNɑ auto-antibodies in uninfected healthy controls were < 1% (95%CI 0-1%, I² = 90%, [Formula: see text]² = 0.0028, p < 0.01).

Conclusion: Anti-interferon auto-antibodies may impair immune responses to diverse infections leading to life-threatening disease. These auto-antibodies have not been studied at all in most infectious diseases, most notably for bacterial infection. This study illustrates the urgent need to standardise methodology and reporting of auto-antibodies in the setting of infectious diseases so that the immunopathology and translational impact of these novel biomarkers can be realised.