Time-Dependent Molecular Motifs of Pulmonary Fibrogenesis in COVID-19

Author:

Kamp Jan C.ORCID,Neubert Lavinia,Ackermann MaximilianORCID,Stark HelgeORCID,Werlein ChristopherORCID,Fuge JanORCID,Haverich Axel,Tzankov AlexandarORCID,Steinestel KonradORCID,Friemann Johannes,Boor PeterORCID,Junker Klaus,Hoeper Marius M.ORCID,Welte Tobias,Laenger Florian,Kuehnel Mark P.,Jonigk Danny D.ORCID

Abstract

(1) Background: In COVID-19 survivors there is an increased prevalence of pulmonary fibrosis of which the underlying molecular mechanisms are poorly understood; (2) Methods: In this multicentric study, n = 12 patients who succumbed to COVID-19 due to progressive respiratory failure were assigned to an early and late group (death within ≤7 and >7 days of hospitalization, respectively) and compared to n = 11 healthy controls; mRNA and protein expression as well as biological pathway analysis were performed to gain insights into the evolution of pulmonary fibrogenesis in COVID-19; (3) Results: Median duration of hospitalization until death was 3 (IQR25-75, 3–3.75) and 14 (12.5–14) days in the early and late group, respectively. Fifty-eight out of 770 analyzed genes showed a significantly altered expression signature in COVID-19 compared to controls in a time-dependent manner. The entire study group showed an increased expression of BST2 and IL1R1, independent of hospitalization time. In the early group there was increased activity of inflammation-related genes and pathways, while fibrosis-related genes (particularly PDGFRB) and pathways dominated in the late group; (4) Conclusions: After the first week of hospitalization, there is a shift from pro-inflammatory to fibrogenic activity in severe COVID-19. IL1R1 and PDGFRB may serve as potential therapeutic targets in future studies.

Funder

European Research Council

Deutsche Forschungsgemeinschaft

Federal Ministry of Health

Federal Ministry of Education and Research

Fondation Botnar

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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