ArticleCurrent protocols2022
Detection of Neutralizing Anti-Type 1 Interferon Autoantibodies.
Article in Current protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Human RIG-I Antiviral Deficiency Caused by a Dominant-Negative Variant Locked in a Signaling-Inactive State.medRxiv : the preprint server for health sciences · 2026Article
- Detection of Anti-IFNγ Autoantibodies From Dried Blood Spots.Open forum infectious diseases · 2025Article
- Multiomics dissection of human RAG deficiency reveals distinctive patterns of immune dysregulation but a common inflammatory signature.Science immunology · 2025Article
- A sensitive assay for measuring whole-blood responses to type I IFNs.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Perturbations of the T-cell receptor repertoire in response to SARS-CoV-2 in immunocompetent and immunocompromised individuals.The Journal of allergy and clinical immunology · 2024Article
- Management and outcome of COVID-19 in CTLA-4 insufficiency.Blood advances · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Autoantibodies (autoAbs) that neutralize type 1 interferons (T1IFNs) are a major risk factor associated with developing critical COVID-19 disease and are most commonly found in individuals over age 70 and in patients with genetic or acquired thymic defects. Swift identification of autoAb-positive individuals may allow targeted interventions to prevent critical COVID-19 disease. Herein, we provide a workflow and protocols aimed at rapidly identifying individuals who are autoAb positive from a large cohort. Basic Protocol 1 describes a multiplex particle-based assay to screen large cohorts of individuals for binding levels of anti-T1IFN autoAbs, and Basic Protocol 2 describes a functional assay to test if autoAbs in patient plasma can block T1IFN-induced JAK/STAT signaling. © Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Basic Protocol 1: Multiplex particle-based bead assay to screen for binding levels of anti-type 1 interferon autoantibodies Alternate Protocol: Multiplex particle-based bead assay to screen for binding levels of anti-type 1 interferon immunoglobulin subtypes and isotypes Support Protocol: Coupling type 1 interferons (IFN-α, IFN-β, and IFN-ω) to magnetic beads Basic Protocol 2: pSTAT1 functional assay to test for neutralization activity of anti-type 1 interferon autoantibodies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.