Ana C. Costa Monteiro, Harry Pickering, Aartik Sarma, Clove S. Taylor, Meagan M. Jenkins, Fei-Man Hsu, Brian Nadel, Ofer Levy, Lindsey R. Baden, Esther Melamed, Lauren I. R. Ehrlich, Grace A. McComsey, Rafick P. Sekaly, Charles B. Cairns, Elias K. Haddad, Albert C. Shaw, David A. Hafler, Ruth R. Montgomery, David B. Corry, Farrah Kheradmand, Mark A. Atkinson, Scott C. Brakenridge, Nelson I. Agudelo Higuita, Jordan P. Metcalf, Catherine L. Hough, William B. Messer, Bali Pulendran, Kari C. Nadeau, Mark M. Davis, Linda N. Geng, Ana Fernandez-Sesma, Viviana Simon, Florian Krammer, Monica Kraft, Chris Bime, Carolyn S. Calfee, David J. Erle, Steve Bosinger, Walter Eckalbar, Holden Maecker, Adeeb Rahman, Leying Guan, Bjoern Peters, Steven H. Kleinstein, Alison D. Augustine, Joann Diray-Arce, Patrice M. Becker, Nadine Rouphael, Michael Agus, Hrishikesh Kulkarni, Joanna M. Schaenmann, Ramin Salehi-Rad, Michael A. Matthay, Elaine F. Reed, Anil Sapru
{"title":"Circulating endothelial signatures correlate with worse outcomes in COVID-19, respiratory failure and ARDS","authors":"Ana C. Costa Monteiro, Harry Pickering, Aartik Sarma, Clove S. Taylor, Meagan M. Jenkins, Fei-Man Hsu, Brian Nadel, Ofer Levy, Lindsey R. Baden, Esther Melamed, Lauren I. R. Ehrlich, Grace A. McComsey, Rafick P. Sekaly, Charles B. Cairns, Elias K. Haddad, Albert C. Shaw, David A. Hafler, Ruth R. Montgomery, David B. Corry, Farrah Kheradmand, Mark A. Atkinson, Scott C. Brakenridge, Nelson I. Agudelo Higuita, Jordan P. Metcalf, Catherine L. Hough, William B. Messer, Bali Pulendran, Kari C. Nadeau, Mark M. Davis, Linda N. Geng, Ana Fernandez-Sesma, Viviana Simon, Florian Krammer, Monica Kraft, Chris Bime, Carolyn S. Calfee, David J. Erle, Steve Bosinger, Walter Eckalbar, Holden Maecker, Adeeb Rahman, Leying Guan, Bjoern Peters, Steven H. Kleinstein, Alison D. Augustine, Joann Diray-Arce, Patrice M. Becker, Nadine Rouphael, Michael Agus, Hrishikesh Kulkarni, Joanna M. Schaenmann, Ramin Salehi-Rad, Michael A. Matthay, Elaine F. Reed, Anil Sapru","doi":"10.1186/s13054-025-05596-0","DOIUrl":null,"url":null,"abstract":"Elevated circulating endothelial cells (CECs), released from monolayers after insult, have been implicated in worse outcomes in ARDS and COVID-19, however there is no consensus proteomic phenotype that define CECs. We queried whether a transcriptomic approach would alternatively support the presence of endothelial cells in circulation and correlate with worsening respiratory failure. To test whether elevated endothelial cell signatures (ECS) in circulation plays a role in worse respiratory outcomes, we used unsupervised bulk-transcriptome deconvolution to quantify ECS% in two cohorts. Our pilot analysis included pediatric patients requiring invasive mechanical ventilation (CAF-PINT, NCT01892969). Our validation cohort included adult hospitalized patients with COVID-19 (IMPACC, NCT04378777), testing the association of ECS% to outcomes in patients at risk of acute respiratory failure/ARDS. Primary outcome was 28-day mortality. In CAF-PINT, day 0 ECS% was higher in non-survivors compared to survivors of respiratory failure (2.8%, IQR 2.4–3.4% versus 2.6%, IQR 2.2–3.0% n = 244, p < 0.05, Wilcoxon rank-sum). In IMPACC, baseline ECS% (< 72 h of hospitalization) was higher in COVID-19 non-survivors versus survivors (2.9%, IQR 2.6–3.4%, versus 2.7%, IQR 2.3–3.1%, n = 932, p < 0.001, Wilcoxon rank-sum). Each 1% increase in baseline ECS% was significantly associated with mortality (adjusted OR 1.36, CI 1.03–1.79) by multivariable logistic regression. Increased baseline ECS% was associated with worse respiratory trajectories (2.5%, IQR 2.2–2.8% for trajectory with no oxygen requirements, 2.9%, IQR 2.6–3.4% for the trajectory with fatal outcome by day 28, n = 932, p < 0.001, one-way ANOVA). Quantifying ECS by deconvolution supports a transcriptomics-driven approach towards the non-invasive evaluation of endothelial damage in respiratory outcomes. This is a first step towards elucidating mechanistic components linking endothelial damage to ARDS utilizing non-invasive, circulating transcriptomic data by leveraging a novel deconvolution approach.","PeriodicalId":10811,"journal":{"name":"Critical Care","volume":"40 1","pages":""},"PeriodicalIF":9.3000,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Critical Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13054-025-05596-0","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Elevated circulating endothelial cells (CECs), released from monolayers after insult, have been implicated in worse outcomes in ARDS and COVID-19, however there is no consensus proteomic phenotype that define CECs. We queried whether a transcriptomic approach would alternatively support the presence of endothelial cells in circulation and correlate with worsening respiratory failure. To test whether elevated endothelial cell signatures (ECS) in circulation plays a role in worse respiratory outcomes, we used unsupervised bulk-transcriptome deconvolution to quantify ECS% in two cohorts. Our pilot analysis included pediatric patients requiring invasive mechanical ventilation (CAF-PINT, NCT01892969). Our validation cohort included adult hospitalized patients with COVID-19 (IMPACC, NCT04378777), testing the association of ECS% to outcomes in patients at risk of acute respiratory failure/ARDS. Primary outcome was 28-day mortality. In CAF-PINT, day 0 ECS% was higher in non-survivors compared to survivors of respiratory failure (2.8%, IQR 2.4–3.4% versus 2.6%, IQR 2.2–3.0% n = 244, p < 0.05, Wilcoxon rank-sum). In IMPACC, baseline ECS% (< 72 h of hospitalization) was higher in COVID-19 non-survivors versus survivors (2.9%, IQR 2.6–3.4%, versus 2.7%, IQR 2.3–3.1%, n = 932, p < 0.001, Wilcoxon rank-sum). Each 1% increase in baseline ECS% was significantly associated with mortality (adjusted OR 1.36, CI 1.03–1.79) by multivariable logistic regression. Increased baseline ECS% was associated with worse respiratory trajectories (2.5%, IQR 2.2–2.8% for trajectory with no oxygen requirements, 2.9%, IQR 2.6–3.4% for the trajectory with fatal outcome by day 28, n = 932, p < 0.001, one-way ANOVA). Quantifying ECS by deconvolution supports a transcriptomics-driven approach towards the non-invasive evaluation of endothelial damage in respiratory outcomes. This is a first step towards elucidating mechanistic components linking endothelial damage to ARDS utilizing non-invasive, circulating transcriptomic data by leveraging a novel deconvolution approach.
期刊介绍:
Critical Care is an esteemed international medical journal that undergoes a rigorous peer-review process to maintain its high quality standards. Its primary objective is to enhance the healthcare services offered to critically ill patients. To achieve this, the journal focuses on gathering, exchanging, disseminating, and endorsing evidence-based information that is highly relevant to intensivists. By doing so, Critical Care seeks to provide a thorough and inclusive examination of the intensive care field.