ArticleERJ open research2024
Coordinated nasal mucosa-mediated immunity accelerates recovery from COVID-19.
Article in ERJ open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04416399 (Use of High Dose Inhaled Corticosteroids as Treatment of Early COVID-19 Infection to Prevent Clinical Deterioration and Hospitalisation), which is not on this map. Cited by 5 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.
Use of High Dose Inhaled Corticosteroids as Treatment of Early COVID-19 Infection to Prevent Clinical Deterioration and Hospitalisation
Who cites it
5 citing papers in PubMed.
- Article
- CXCL13 and IL-33 as Immunomodulatory Adjuvants Combined with Respiratory Syncytial Virus Fusion (RSV F) Protein to Enhance Mucosal RSV Vaccination.Infection and drug resistance · 2026Review
- Differential immune profiles in elderly patients with non-severe versus severe SARS-CoV-2 omicron variant infection: dysregulation of antibody responses and B-cell subsets.Immunity & ageing : I & A · 2025Article
- Priming mucosal pathogen-agnostic innate immunity with an intranasal TLR2/6 agonist in an aged population.ERJ open research · 2025Article
- Chemokines in the resolution of inflammation: key players and targets for therapeutic modulation.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Understanding the interplay of immune mediators in relation to clinical outcomes during acute infection has the potential to highlight immune networks critical to symptom recovery. The objective of the present study was to elucidate the immune networks critical to early symptom resolution following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Methods: In a community-based randomised clinical trial comparing inhaled budesonide against usual care in 139 participants with early onset SARS-CoV-2 (the STOIC study; clinicaltrials.gov identifier NCT04416399), significant clinical deterioration (reported need for urgent care, emergency department visit, hospitalisation: the primary outcome), self-reported symptom severity (Influenza Patient-Reported Outcome questionnaire) and immune mediator networks were assessed. Immune mediator networks were determined using pre-defined mathematical modelling of immune mediators, determined by the Meso Scale Discovery U-Plex platform, within the first 7 days of SARS-CoV-2 infection compared to 22 healthy controls. Results: Interferon- and chemokine-dominant networks were associated with high viral burden. Elevated levels of the mucosal network (chemokine (C-C motif) ligand (CCL)13, CCL17, interleukin (IL)-33, IL-5, IL-4, CCL26, IL-2, IL-12 and granulocyte-macrophage colony-stimulating factor) was associated with a mean 3.7-day quicker recovery time, with no primary outcome events, irrespective of treatment arm. This mucosal network was associated with initial nasal and throat symptoms at day 0. Conclusion: A nasal immune network is critical to accelerated recovery and improved patient outcomes in community-acquired viral infections. Overall, early prognostication and treatments aimed at inducing epithelial responses may prove clinically beneficial in enhancing early host response to virus.
Identifiers
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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.