ArticlemBio2026
Early mucosal IFN-α, IP-10, and IL-1RA and synchronized mucosal and systemic immune responses mediate COVID-19 disease progression.
Article in mBio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- The avian respiratory microenvironment-immune nexus: A three-dimensional regulation model from local homeostasis to systemic defense.Poultry science · 2026Article
- Integrated miR-omics and proteomics reveal the regulatory role of miR in protein networks associated with COVID-19 disease progression.Frontiers in immunology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Mucosal immunity plays a crucial role in protection against respiratory viruses. However, the mechanisms underlying mucosal responses and their impact on COVID-19 outcomes are not well understood, as mucosal immunity is compartmentalized and not always reflected in the bloodstream. This study examined primary immune responses in 584 mucosal and blood specimens collected over a month from previously naïve adults and children with COVID-19. Various laboratory techniques were utilized to quantify and characterize viral RNA, antigens, antibodies, and cytokines in the samples, including PCR, sequencing, ELISA, and Luminex. Comprehensive system analysis uncovered distinctive characteristics associated with mild COVID-19 disease progression, including markedly early and elevated induction of mucosal IFN-α and IP-10, followed by increased levels of IL-1RA and IgG. Individuals experiencing mild COVID-19 demonstrated synchronized mucosal and systemic immune responses, with a gradual increase in antibody production that resulted in enhanced neutralization potency, potentially conferring greater protection against future infection. In contrast, individuals with moderate and severe COVID-19 exhibited diminished IFN-α and IP-10 responses and dysregulated mucosal and systemic immune responses marked by rapid and robust yet less effective humoral immunity, potentially driven by high antigen and cytokine levels in both compartments. Collectively, these findings underscore that early mucosal immune responses may play a pivotal role in attenuating COVID-19 disease severity. Additionally, they suggest that primary mucosal immune responses to novel viruses influence clinical outcomes, providing critical insights necessary for developing prognostic indicators, treatments, and mucosal vaccines that confer protection against SARS-CoV-2 and emerging respiratory pathogens. IMPORTANCE: This research is crucial for understanding the intricate interplay between mucosal immunity and SARS-CoV-2 infection. By examining the distinct systemic and mucosal immune responses during COVID-19, this study addresses the critical gap in our knowledge of how the body defends itself at the primary site of infection: the respiratory mucosa. The findings shed light on the specific characteristics of the mucosal immune response, including the roles of different antibody isotypes, immune cells, and local factors in controlling viral entry and replication. Furthermore, because this study focuses on
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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.