Purpose: A causal biomarker for acute respiratory distress syndrome (ARDS) could fuel precision therapy options. Plasma angiopoietin-2 (ANG2), a vascular permeability marker, is a strong candidate on the basis of experimental and observational evidence. We used genetic causal inference methods-Mendelian randomization and mediation-to infer potential effects of plasma ANG2.
Methods: We genotyped 703 septic subjects, measured ICU admission plasma ANG2, and performed a quantitative trait loci (QTL) analysis to determine variants in the ANGPT2 gene associated with plasma ANG2 (p < 0.005). We then used linear regression and post-estimation analysis to genetically predict plasma ANG2 and tested genetically predicted ANG2 for ARDS association using logistic regression. We estimated the proportion of the genetic effect explained by plasma ANG2 using mediation analysis.
Results: Plasma ANG2 was strongly associated with ARDS (OR 1.59 (95% CI 1.35, 1.88) per log). Five ANGPT2 variants were associated with ANG2 in European ancestry subjects (n = 404). Rs2442608C, the most extreme cis QTL (coefficient 0.22, 95% CI 0.09-0.36, p = 0.001), was associated with higher ARDS risk: adjusted OR 1.38 (95% CI 1.01, 1.87), p = 0.042. No significant QTL were identified in African ancestry subjects. Genetically predicted plasma ANG2 was associated with ARDS risk: adjusted OR 2.25 (95% CI 1.06-4.78), p = 0.035. Plasma ANG2 mediated 34% of the rs2442608C-related ARDS risk.
Conclusions: In septic European ancestry subjects, the strongest ANG2-determining ANGPT2 genetic variant is associated with higher ARDS risk. Plasma ANG2 may be a causal factor in ARDS development. Strategies to reduce plasma ANG2 warrant testing to prevent or treat sepsis-associated ARDS.
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http://dx.doi.org/10.1007/s00134-018-5328-0 | DOI Listing |
Anesth Analg
November 2024
From the Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Background: Delirium after cardiac surgery is common, morbid, and costly, but may be prevented with risk stratification and targeted intervention. In this study, we aimed to identify protein biomarkers and develop a predictive model for postoperative delirium in older patients undergoing cardiac surgery.
Methods: SomaScan analysis of 1305 proteins in the plasma from 57 older adults undergoing cardiac surgery requiring cardiopulmonary bypass was conducted to define delirium-specific protein signatures at baseline (preoperative baseline timepoint [PREOP]) and postoperative day 2 (POD2).
Clin Appl Thromb Hemost
December 2024
Department of Cardiology, Health Sciences Division, Loyola University Chicago, Maywood, IL, USA.
Angiopoeitin-2 (Ang2) is a vascular growth factor involved in regulating angiogenesis and endothelial remodeling. Higher Ang2 levels have been associated with mortality in the general population and among male hemodialysis patients, but its effects on concomitant heart failure with reduced ejection fraction (HFrEF) and end-stage renal disease (ESRD) are unknown. Plasma samples from 73 ESRD patients and 40 healthy patients were analyzed for Ang2 concentrations using ELISA.
View Article and Find Full Text PDFCrit Care Med
January 2025
Department of Anesthesia, Critical Care and Emergency, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Objectives: Pulmonary ventilation/perfusion (V/Q) mismatch measured by electrical impedance tomography (EIT) is associated with the outcome of patients with the acute respiratory distress syndrome (ARDS), but the underlying pathophysiological mechanisms have not been fully elucidated. The present study aimed to verify the correlation between relevant pathophysiological markers of ARDS severity and V/Q mismatch.
Design: Prospective observational study.
J Transl Med
October 2024
Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA.
Background: BI 836880 is a humanized bispecific nanobody® that binds to and blocks vascular endothelial growth factor (VEGF) and angiopoietin-2 (Ang-2). A comprehensive biomarker and modeling approach is presented here that supported dose finding for BI 836880.
Methods: Two Phase I dose-escalation studies (1336.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
September 2024
Department of Emergency Medicine, Sir Run Run Shaw Hospital Zhejiang University School of Medicine, Hangzhou 310016, Zhejiang, China. Corresponding author: Dai Junru, Email:
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