Evidence map›Paper›PMID 41064382›Full record

ArticleReumatologia2025

Anti-interferon α-antibodies in pediatric patients with COVID-19 and long COVID.

Oksana Boyarchuk, Vita Perestiuk, Tetiana Kosovska, Liubov Volianska

Abstract read
In one paragraph

Article in Reumatologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Oksana BoyarchukDepartment of Children's Diseases and Pediatric Surgery, I. Horbachevsky Ternopil National Medical University, Ukraine.ORCID https://orcid.org/0000-0002-1234-0040
Vita PerestiukDepartment of Children's Diseases and Pediatric Surgery, I. Horbachevsky Ternopil National Medical University, Ukraine.ORCID https://orcid.org/0000-0002-8321-1078
Tetiana KosovskaDepartment of Children's Diseases and Pediatric Surgery, I. Horbachevsky Ternopil National Medical University, Ukraine.ORCID https://orcid.org/0000-0002-5132-2275
Liubov VolianskaDepartment of Children's Diseases and Pediatric Surgery, I. Horbachevsky Ternopil National Medical University, Ukraine.ORCID https://orcid.org/0000-0001-5447-8059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The involvement of neutralizing antibodies against type I interferon (IFN-I) in the development of severe coronavirus disease 2019 (COVID-19) in adult patients has been well documented. However, the role of anti-IFN-α autoantibodies, especially non-neutralizing types, remains underexplored, especially in children. Our study aimed to determine the frequency of antibodies against IFN-α in children with COVID-19 and long COVID, as well as their potential role in the development of long COVID. Material and methods: The study included 78 children aged 1 to 17 years with a documented history of COVID-19 from September 2022 to August 2023. All patients were divided into three groups: hospitalized with COVID-19, hospitalized with long COVID symptoms, and monitored in an outpatient care department for mild COVID-19 or symptoms of long COVID. Human anti-IFN-α antibodies were detected using enzyme-linked immunosorbent assay. Results: Binding anti-IFN-α antibodies were detected in 2/78 (2.6%) children with COVID-19 of varying severity. One patient with anti-IFN-α antibodies had comorbidities (obesity, allergic rhinitis) and critical COVID-19 pneumonia (SpO Conclusions: Further studies in larger cohorts are needed to assess the role of anti-IFN-α antibodies (both neutralizing and non-neutralizing) in the development of long COVID symptoms, to understand their clinical significance, and to examine their dynamics over time.

Indexed as

anti-interferon-α antibodiesCOVID-19long COVIDtype I interferons

Identifiers

PMID41064382
PMCPMC12503149

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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.