Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Endothelial cells (EC) in vivo are continuously exposed to a mechanical microenvironment from blood flow, and fluidic shear stress plays an important role in EC behavior. New approaches to generate physiologically and pathologically relevant pulsatile flows are needed to understand EC behavior under different shear stress regimes. Here, we demonstrate an adaptable pump (Adapt-Pump) platform for generating pulsatile flows from human pluripotent stem cell-derived cardiac spheroids (CS) via quantitative imaging-based signal transduction. Pulsatile flows generated from the Adapt-Pump system can recapitulate unique CS contraction characteristics, accurately model responses to clinically relevant drugs, and simulate CS contraction changes in response to fluidic mechanical stimulation. We discovered that ECs differentiated under a long QT syndrome derived pathological pulsatile flow exhibit abnormal EC monolayer organization. This Adapt-Pump platform provides a powerful tool for modeling the cardiovascular system and improving our understanding of EC behavior under different mechanical microenvironments.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699819 | PMC |
| http://dx.doi.org/10.1039/d0lc00546k | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Dynamic alteration of blood vessel geometry is an inherent feature of the circulatory system. However, while the engineering of multiscale, branched, and interconnected blood vessels has been well explored, mimicking the dynamic behavior (e.g.
View Article and Find Full Text PDFTuberculous septic pseudoaneurysm of the right subclavian artery: A rare case report.
Int J Surg Case Rep
September 2025
Vascular and Endovascular Department, CHU Ibn Sina Souissi, University Hospital Center IBN SINA, University Mohammed V, Rabat, Morocco. Electronic address:
Introduction: Pseudoaneurysm of the right subclavian artery is very rare, and its most serious complication is rupture, which is unpredictable and fatal. Among the infectious causes, tuberculous pseudoaneurysms represent an exceptionally rare but significant subset, arising from the direct invasion of the arterial wall by Mycobacterium tuberculosis.
Case Report: We present the case of a 60-year-old hypertensive male diagnosed with a right subclavian artery septic pseudoaneurysm, which is rare but serious, often resulting from an infection that weakens the arterial wall.
Perfusion Signal Analysis Using Multi-pulsed Arterial Spin Labeling (mPASL) with Multiple Post-labeling Delays: Phantom Validation and Application to the Human Foot.
Magn Reson Med Sci
September 2025
Department of Radiology, University of California-San Diego, La Jolla CA, USA.
Purpose: This study aims to extend the general kinetic model (GKM) for perfusion signal analysis using multi-pulsed arterial spin labeling (mPASL) acquisitions with multiple post-labeling delays (mPLD). The approach aims to improve accuracy and gain potential for broader experimental and clinical applications.
Methods: The magnetization vector evolution of the mPASL technique was analyzed using sequence diagrams and numerical simulation, supplemented by static phantom experiments.
Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics.
Front Cardiovasc Med
August 2025
Division of Vascular and Transplant Surgery, Department of Surgery, The Catholic University of Korea, Seoul, Republic of Korea.
Background: Abdominal aortic aneurysm (AAA) rupture is a life-threatening event traditionally predicted by aneurysm diameter. However, many clinical observations have revealed that rupture can occur even in small aneurysms, suggesting the influence of additional biomechanical factors such as hemodynamics. The aim of this case series was to perform computational fluid dynamics (CFD) analyses based on CT scans of patients with confirmed abdominal aortic aneurysm rupture and to evaluate correlations between rupture sites and hemodynamic factors derived from simulations.
View Article and Find Full Text PDFUse of proper orthogonal decomposition and machine learning for efficient blood flow prediction in cerebral saccular aneurysms.
Sci Rep
September 2025
Department of Mechanical Engineering, College of Engineering, University of Ha'il, Ha'il City, 81451, Saudi Arabia.
Accurate assessment of intracranial aneurysm rupture risk, particularly in Middle Cerebral Artery (MCA) aneurysms, relies on a detailed understanding of patient-specific hemodynamic behavior. In this study, we present an integrated framework that combines Computational Fluid Dynamics (CFD) with Proper Orthogonal Decomposition (POD) and machine learning (ML) to efficiently model pulsatile blood flow using a Casson non-Newtonian fluid model, without incorporating fluid-structure interaction (FSI). Patient-specific vascular geometries were reconstructed from DICOM imaging data and simulated using ANSYS Fluent to capture key hemodynamic factors, including velocity components, pressure, wall shear stress (WSS), and oscillatory shear index (OSI).
View Article and Find Full Text PDF