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Toward precision medicine: Inflammatory nasal epithelial transcriptomic profiles in long COVID
Nadia Baalbaki1, Jelle M Blankestijn1, Samuel W Kazer2
1Department of Pulmonary Medicine, Amsterdam UMC, Amsterdam, The Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands; Amsterdam Public Health, Amsterdam, The Netherlands.
The Journal of Allergy and Clinical Immunology
|June 7, 2025
Summary
Long COVID nasal epithelium shows persistent inflammation. SMURF1 gene upregulation may worsen inflammation in patients with lung abnormalities, suggesting a target for treatment.
Area of Science:
- Respiratory Medicine
- Immunology
- Genetics
Background:
- The role of the nasal epithelium in long COVID (LC) pathophysiology remains largely unknown.
- Investigating nasal epithelial changes offers potential insights into LC mechanisms.
Purpose of the Study:
- To analyze nasal epithelial transcriptomes in long COVID patients.
- To identify pathophysiological mechanisms for improved disease management.
Main Methods:
- Transcriptomic analysis of nasal epithelium from 55 long COVID patients (3-18 months post-infection).
- Cell-type deconvolution, hierarchical clustering, and gene expression analysis.
- Functional validation using CRISPR/Cas9 gene editing in nasal epithelial cells.
Main Results:
- Persistent inflammatory pathways identified in nasal epithelium at 3-18 months post-COVID.
- Transcriptomic and cellular clusters linked to inflammation and ciliogenesis.
- SMURF1 gene was upregulated in patients with pulmonary abnormalities, and its absence reduced pro-inflammatory cytokine release.
Conclusions:
- Nasal epithelium in long COVID exhibits sustained inflammation.
- Upregulated SMURF1 may drive exacerbated inflammation in patients with lung abnormalities.
- Further research into SMURF1's role in long COVID is warranted for clinical applications.
Keywords:
Long COVIDinflammatory airway diseasenasal epitheliumpost–acute COVID-19 syndromepost–acute sequelae of COVID-19post–viral conditiontranscriptomics
