Evidence map›Paper›PMID 41550089›Full record

ArticleThe journal of allergy and clinical immunology. Global2026

High levels of nonblocking anti-interferon and anticytokine autoantibodies in individuals with mRNA vaccine-induced systemic allergic reactions.

Muge Kalaycioglu, Allan Feng, Shaurya Dhingra, Muhammad B Khalid, Kari C Nadeau, Paul J Utz, Pamela A Frischmeyer-Guerrerio

Abstract read
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Article in The journal of allergy and clinical immunology. Global, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Muge KalayciogluDepartment of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, Calif.
Allan FengDepartment of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, Calif.
Shaurya DhingraDepartment of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, Calif.
Muhammad B KhalidFood Allergy Research Section, Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Md.
Kari C NadeauDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Mass.
Paul J UtzDepartment of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, Calif.
Pamela A Frischmeyer-GuerrerioFood Allergy Research Section, Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Md.

Funding

Mechanisms of BNT162b2 Vaccine Immunogenicity in Systemic Lupus Erythematosus or SclerodermaR01AI182319 · NIAID · STANFORD UNIVERSITY · PI PAUL JOSEPH UTZ, Lisa Zaba · 2024 to 2026
$2.2M
NIAID NIH HHS R01 AI182319
6 · The paper itself

Abstract

Background: Hypersensitivity reactions following coronavirus 2019 disease (COVID-19) mRNA vaccination, although rare, have raised public concern and contributed to vaccine hesitancy. The underlying mechanisms and cofactors that increase the risk of these adverse reactions remain poorly understood. Objective: We aimed to investigate whether the presence of autoantibodies, particularly anticytokine autoantibodies (ACAs), correlates with systemic adverse events (SAEs) in response to mRNA COVID-19 vaccines. Methods: We analyzed serum samples from 2 independent cohorts of individuals who experienced convincing SAEs after receiving their first dose of COVID-19 mRNA vaccine, including 16 individuals at the National Institutes of Health (NIH) and 18 at Stanford University. Individuals enrolled in the NIH cohort received subsequent vaccine doses under medical supervision. The control groups included vaccine-tolerant individuals. Bead-based autoantigen arrays were used to detect autoantibodies, whereas cell-based assays were used to assess the functional blocking activity of specific antibodies. Results: Autoantibody positivity was detected in 81.2% of the NIH cohort and 38.8% of the Stanford cohort. Elevated levels of antibodies against IFN-λ1 were associated with repeated SAEs in the NIH cohort. Other notable targets included IL-1A, IL-4, IL-6, IL-11, IL-17, TNF-α, and IFN-γ. Despite elevated autoantibody levels, functional blocking activity was not detected in reporter assays. Conclusion: Our findings reveal a potential link between cytokine-targeting autoantibodies, especially anti-IFN-λ1, and systemic adverse responses to mRNA vaccination. These results suggest a role for immune dysregulation in individuals with hypersensitivity to mRNA vaccines and highlight the need for further investigation to improve vaccine safety and tolerance.

Indexed as

autoantibodiesautoimmunitycytokineIFN-λ1Vaccine allergy

Identifiers

PMID41550089
PMCPMC12809407

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.