Distinct type 1 immune networks underlie the severity of restrictive lung disease after COVID-19.
Publication/Presentation Date
4-1-2025
Abstract
The variable origins of persistent breathlessness after coronavirus disease 2019 (COVID-19) have hindered efforts to decipher the immunopathology of lung sequelae. Here we analyzed hundreds of cellular and molecular features in the context of discrete pulmonary phenotypes to define the systemic immune landscape of post-COVID lung disease. Cluster analysis of lung physiology measures highlighted two phenotypes of restrictive lung disease that differed according to their impaired diffusion and severity of fibrosis. Machine learning revealed marked CCR5
Volume
26
Issue
4
First Page
595
Last Page
606
ISSN
1529-2916
Published In/Presented At
Canderan, G., Muehling, L. M., Kadl, A., Ladd, S., Bonham, C., Cross, C. E., Lima, S. M., Yin, X., Sturek, J. M., Wilson, J. M., Keshavarz, B., Enfield, K. B., Ramani, C., Bryant, N., Murphy, D. D., Cheon, I. S., Solga, M., Pramoonjago, P., McNamara, C. A., Sun, J., … Woodfolk, J. A. (2025). Distinct type 1 immune networks underlie the severity of restrictive lung disease after COVID-19. Nature immunology, 26(4), 595–606. https://doi.org/10.1038/s41590-025-02110-0
Disciplines
Medicine and Health Sciences
PubMedID
40140496
Department(s)
Department of Medicine
Document Type
Article