INTERSTITIAL LUNG DISEASE PROTEIN BIOMARKERS IN POST-COVID PATIENTS

Critical care patients who survive to severe COVID-19 are at higher risk of developing interstitial lung disease (ILD). Identifying protein biomarkers of lung sequelae may help to clarify the underlying pathophysiology and contribute to the development of precision medicine strategies. Here, we aimed to identify a set of proteins that could be used as biomarkers of ILD in post-COVID patients. Protein levels from plasma samples collected at 6 months post-ICU discharge of 40 post-COVID patients that survived severe ARDS was obtained via the Olink® Explore assay (3,072 proteins). ILD was assessed by CT scans, quantitative analysis of lung attenuation and of different pulmonary function parameters with a follow-up at 6 months after ICU discharge. Protein prioritization was based on Student's t-test and principal component analysis to identify those contributing more to the differentiation of patients evidencing ILD. Spearman correlation analysis was used to reduce protein information redundancy. Functional enrichment analysis was performed using EnrichR. A total of 203 proteins showed nominally significant differences between ILD and non-ILD patients at six months. Further analyses prioritized 10 non-redundant proteins of this set. These proteins are involved in key mechanisms of immune regulation, inflammatory signalling, and tissue remodelling. We identified a set of proteins that may serve as biomarkers for post-COVID ILD. Validation in independent patients is needed.

Authors

Institutions

Publication Details

Journal
Open Respiratory Archives
Published
2026-02-01
DOI
https://doi.org/10.1016/j.opresp.2026.100562
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

INTERSTITIAL LUNG DISEASE PROTEIN BIOMARKERS IN POST-COVID PATIENTS

C Flores, M Molina-Molina, Carolina Cubillos-Zapata, Adrián Gómez-Del Rosario et al.
Open Respiratory Archives
Long-Term Effects of COVID-19
article

INTERSTITIAL LUNG DISEASE PROTEIN BIOMARKERS IN POST-COVID PATIENTS

C Flores, M Molina-Molina, Carolina Cubillos-Zapata, Adrián Gómez-Del Rosario, Laura Ciuffreda, Aitana Alonso González, José Miguel Lorenzo-Salazar, Beatriz Guillen-Guio, Francisco García Río
article en

Abstract

Critical care patients who survive to severe COVID-19 are at higher risk of developing interstitial lung disease (ILD). Identifying protein biomarkers of lung sequelae may help to clarify the underlying pathophysiology and contribute to the development of precision medicine strategies. Here, we aimed to identify a set of proteins that could be used as biomarkers of ILD in post-COVID patients. Protein levels from plasma samples collected at 6 months post-ICU discharge of 40 post-COVID patients that survived severe ARDS was obtained via the Olink® Explore assay (3,072 proteins). ILD was assessed by CT scans, quantitative analysis of lung attenuation and of different pulmonary function parameters with a follow-up at 6 months after ICU discharge. Protein prioritization was based on Student's t-test and principal component analysis to identify those contributing more to the differentiation of patients evidencing ILD. Spearman correlation analysis was used to reduce protein information redundancy. Functional enrichment analysis was performed using EnrichR. A total of 203 proteins showed nominally significant differences between ILD and non-ILD patients at six months. Further analyses prioritized 10 non-redundant proteins of this set. These proteins are involved in key mechanisms of immune regulation, inflammatory signalling, and tissue remodelling. We identified a set of proteins that may serve as biomarkers for post-COVID ILD. Validation in independent patients is needed.

Open Respiratory ArchivesVol. 8
University of Leicester (GB), Hospital Universitario La Paz (ES), Instituto de Salud Carlos III (ES), Bellvitge University Hospital (ES), Institut d'Investigació Biomédica de Bellvitge (ES), Hospital Universitario Nuestra Señora de Candelaria (ES), Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES), Instituto Tecnológico y de Energías Renovables (ES), Hospital La Paz Institute for Health Research (ES), NIHR Leicester Biomedical Research Centre (GB), Universitat de Barcelona (ES)
Good health and well-being
Openalex Percentile: Top 60%
Long-Term Effects of COVID-19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.