Computational modeling of growth: systemic and pulmonary hypertension in the heart

We introduce a novel constitutive model for growing soft biological tissue and study its performance in two characteristic cases of mechanically induced wall thickening of the heart. We adopt the concept of an incompatible growth configuration introducing the multiplicative decomposition of the deformation gradient into an elastic and a growth part. The key feature of the model is the definition of the evolution equation for the growth tensor which we motivate by pressure-overload-induced sarcomerogenesis. In response to the deposition of sarcomere units on the molecular level, the individual heart muscle cells increase in diameter, and the wall of the heart becomes progressively thicker. We present the underlying constitutive equations and their algorithmic implementation within an implicit nonlinear finite element framework. To demonstrate the features of the proposed approach, we study two classical growth phenomena in the heart: left and right ventricular wall thickening in response to systemic and pulmonary hypertension

AN INTELLIGENT METHODOLOGY FOR THE USE OF MULTI‑CRITERIA DECISION ANALYSIS IN IMPACT ASSESSMENT: THE CASE OF REAL‑WORLD OFFSHORE CONSTRUCTION

Impact assessment of large-scale projects involves a plethora of technical, economic, social, and environmental factors that must be assessed along with the expectations of the stakeholders of each project. While impact assessment is required for a development project to receive regulatory approval to proceed, it is also an invaluable tool during the design phase of complex projects, providing for informed decision-making. Molding multiple perspectives of diverse stakeholders into a single collective choice is a key challenge in the process. Multi-Criteria Decision Analysis (MCDA) is the methodology used to rank a finite number of decision options based on a finite set of evaluation criteria. Different MCDA techniques, however, may lead to different decisions when applied to the same problem while different sets of criteria and weights may rank choices differently even when the same method is applied. This is a cause of concern, and even acrimony, amongst the stakeholders, often leading to protracted periods of negotiation and delaying project launching. The objective of this paper is to present an intelligent system to ameliorate the effects of the inherent subjectivity in MCDA techniques and to develop a consensus amongst the stakeholders in a data-driven setting. A case study from the field of offshore construction is used as a running example. This case study, informed by real-world experience in the field, demonstrates succinctly the issues involved and illustrates clearly the proposed intelligent methodology and its merits

Big bottlenecks in cardiovascular tissue engineering.

Although tissue engineering using human-induced pluripotent stem cells is a promising approach for treatment of cardiovascular diseases, some limiting factors include the survival, electrical integration, maturity, scalability, and immune response of three-dimensional (3D) engineered tissues. Here we discuss these important roadblocks facing the tissue engineering field and suggest potential approaches to overcome these challenges

Iliac fixation inhibits migration of both suprarenal and infrarenal aortic endografts

ObjectiveTo evaluate the role of iliac fixation in preventing migration of suprarenal and infrarenal aortic endografts.MethodsQuantitative image analysis was performed in 92 patients with infrarenal aortic aneurysms (76 men and 16 women) treated with suprarenal (n = 36) or infrarenal (n = 56) aortic endografts from 2000 to 2004. The longitudinal centerline distance from the superior mesenteric artery to the top of the stent graft was measured on preoperative, postimplantation, and 1-year three-dimensional computed tomographic scans, with movement more than 5 mm considered to be significant. Aortic diameters were measured perpendicular to the centerline axis. Proximal and distal fixation lengths were defined as the lengths of stent-graft apposition to the aortic neck and the common iliac arteries, respectively.ResultsThere were no significant differences in age, comorbidities, or preoperative aneurysm size (suprarenal, 6.0 cm; infrarenal, 5.7 cm) between the suprarenal and infrarenal groups. However, the suprarenal group had less favorable aortic necks with a shorter length (13 vs 25 mm; P < .0001), a larger diameter (27 vs 24 mm; P < .0001), and greater angulation (19° vs 11°; P = .007) compared with the infrarenal group. The proximal aortic fixation length was greater in the suprarenal than in the infrarenal group (22 vs 16 mm; P < .0001), with the top of the device closer to the superior mesenteric artery (8 vs 21 mm; P < .0001) as a result of the 15-mm uncovered suprarenal stent. There was no difference in iliac fixation length between the suprarenal and infrarenal groups (26 vs 25 mm; P = .8). Longitudinal centerline stent graft movement at 1 year was similar in the suprarenal and infrarenal groups (4.3 ± 4.4 mm vs 4.8 ± 4.3 mm; P = .6). Patients with longitudinal centerline movement of more than 5 mm at 1 year or clinical evidence of migration at any time during the follow-up period comprised the respective migrator groups. Suprarenal migrators had a shorter iliac fixation length (17 vs 29 mm; P = .006) and a similar aortic fixation length (23 vs 22 mm; P > .999) compared with suprarenal nonmigrators. Infrarenal migrators had a shorter iliac fixation length (18 vs 30 mm; P < .0001) and a similar aortic fixation length (14 vs 17 mm; P = .1) compared with infrarenal nonmigrators. Nonmigrators had closer device proximity to the hypogastric arteries in both the suprarenal (7 vs 17 mm; P = .009) and infrarenal (8 vs 24 mm; P < .0001) groups. No migration occurred in either group in patients with good iliac fixation. Multivariate logistic regression analysis revealed that iliac fixation, as evidenced by iliac fixation length (P = .004) and the device to hypogastric artery distance (P = .002), was a significant independent predictor of migration, whereas suprarenal or infrarenal treatment was not a significant predictor of migration. During a clinical follow-up period of 45 ± 22 months (range, 12-70 months), there have been no aneurysm ruptures, abdominal aortic aneurysm–related deaths, or surgical conversions in either group.ConclusionsDistal iliac fixation is important in preventing migration of both suprarenal and infrarenal aortic endografts that have longitudinal columnar support. Secure iliac fixation minimizes the risk of migration despite suboptimal proximal aortic neck anatomy. Extension of both iliac limbs to cover the entire common iliac artery to the iliac bifurcation seems to prevent endograft migration

Microfluidic systems: A new toolbox for pluripotent stem cells

Conventional culture systems are often limited in their ability to regulate the growth and differentiation of pluripotent stem cells. Microfluidic systems can overcome some of these limitations by providing defined growth conditions with user‐controlled spatiotemporal cues. Microfluidic systems allow researchers to modulate pluripotent stem cell renewal and differentiation through biochemical and mechanical stimulation, as well as through microscale patterning and organization of cells and extracellular materials. Essentially, microfluidic tools are reducing the gap between in vitro cell culture environments and the complex and dynamic features of the in vivo stem cell niche. These microfluidic culture systems can also be integrated with microanalytical tools to assess the health and molecular status of pluripotent stem cells. The ability to control biochemical and mechanical input to cells, as well as rapidly and efficiently analyze the biological output from cells, will further our understanding of stem cells and help translate them into clinical use. This review provides a comprehensive insignt into the implications of microfluidics on pluripotent stem cell research. Conventional culture systems are often limited in their ability to regulate the growth and differentiation of pluripotent stem cells. In this review, the authors describe technologies that move small volumes of fluids (on microscales) and how they can be used with stem cells. These technologies can provide precise signals that control stem cells, causing them to self‐renew (produce more stem cells) or differentiate (become any of the cells in the body). They can also be used to investigate the biology of stem cells and test their quality for medical applications. These powerful tools could one day be used to combat degenerative diseases.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/96259/1/180_ftp.pd

Development of a bioreactor imaging system for characterizing embryonic stem cell-derived cardiomyocytes

textCardiovascular disease (CVD) affects more than 70 million Americans and is the number one cause of mortality in the United States. Because the regenerative capacity of adult tissues such as the heart is limited, human embryonic stem cells (hESC) have emerged as a source for potential cardiac therapies. However, despite the use of a variety of biochemical differentiation protocols, current yields of hESC-derived cardiomyocytes (CM) have been low. In the case of hESC-CM, which are inherently electromechanically active, additional forms of inducing a mature cardiac fate have not been fully explored. In order to non-invasively visualize and quantify biochemical, electrical, and mechanical stimulation on hESC-CM differentiation in future studies, a bioreactor imaging system has been developed and is described in this report.Biomedical Engineerin

COMPUTATIONAL MODELLING OF OPTOGENETICS IN CARDIAC CELLS

ABSTRACT Channelrhodopsin-2 (ChR2) is a light-activated ion channel that can allow scientists to electrically activate cells via optical stimulation. Using a combination of existing computational electrophysiological and mechanical cardiac cell models with a novel ChR2 ion channel model, we created a model for ChR2-transduced cardiac myocytes. We implemented this model into a commonly available finite element platform and simulated both the single cell and the tissue electromechanical response. Our simulations show that it is possible to stimulate cardiac tissue optically with ChR2-transduced cells. INTRODUCTION Recent experiments [1] with cell types transduced with Channelrhodopsin-2 (ChR2) have shown great promise in using light-activated genetic modification to control different electrically active cell types. Optogenetic cardiac cells can allow for optical stimulation of cardiac tissues and may potentially serve as pacemakers in the heart. While ChR2-modified cells have not been used as pacemakers thus far, characterization of the ChR2 ion channe

A generic approach towards finite growth with examples of athlete's heart, cardiac dilation, and cardiac wall thickening

The objective of this work is to establish a generic continuum-based computational concept for finite growth of living biological tissues. The underlying idea is the introduction of an incompatible growth configuration which naturally introduces a multiplicative decomposition of the deformation gradient into an elastic and a growth part. The two major challenges of finite growth are the kinematic characterization of the growth tensor and the identification of mechanical driving forces for its evolution. Motivated by morphological changes in cell geometry, we illustrate a micromechanically motivated ansatz for the growth tensor for cardiac tissue that can capture both strain-driven ventricular dilation and stress-driven wall thickening. Guided by clinical observations, we explore three distinct pathophysiological cases: athlete's heart, cardiac dilation, and cardiac wall thickening. We demonstrate the computational solution of finite growth within a fully implicit incremental iterative Newton-Raphson based finite element solution scheme. The features of the proposed approach are illustrated and compared for the three different growth pathologies in terms of a generic bi-ventricular heart model

A multiscale model for eccentric and concentric cardiac growth through sarcomerogenesis

We present a novel computational model for maladaptive cardiac growth in which kinematic changes of the cardiac chambers are attributed to alterations in cytoskeletal architecture and in cellular morphology. We adopt the concept of finite volume growth characterized through the multiplicative decomposition of the deformation gradient into an elastic part and a growth part. The functional form of its growth tensor is correlated to sarcomerogenesis, the creation and deposition of new sarcomere units. In response to chronic volume-overload, an increased diastolic wall strain leads to the addition of sarcomeres in series, resulting in a relative increase in cardiomyocyte length, associated with eccentric hypertrophy and ventricular dilation. In response to chronic pressure-overload, an increased systolic wall stress leads to the addition of sacromeres in parallel, resulting in a relative increase in myocyte cross sectional area, associated with concentric hypertrophy and ventricular wall thickening. The continuum equations for both forms of maladaptive growth are discretized in space using a nonlinear finite element approach, and discretized in time using the implicit Euler backward scheme. We explore a generic bi-ventricular heart model in response to volume- and pressure-overload to demonstrate how local changes in cellular morphology translate into global alterations in cardiac form and function

IMPACT ASSESSMENT OF REAL-WORLD LARGE-SCALE OIL AND GAS PROJECTS WITH FUZZY DATA

The proposed capstone project aims to address the limitations of current MCDA methods and develop a more effective tool for decision-making in the oil and gas industry, particularly oilfield selection. The project will focus on the application of three MCDA methods: SPOTIS, COMET, and MCDA Index Tool. These methods will be evaluated based on their ability to address the challenges specific to the oil and gas industry, including various factors. The study will also explore the feasibility of developed comprehensive tool that can effectively address all the criteria required for generating valid results. This tool will be tailored to the unique characteristics of the oil and gas industry, and it will incorporate the various objectives and criteria that are essential for making informed decisions in this sector. The project will utilize a combination of literature review and case studies to investigate the effectiveness of the three MCDA methods and their applicability for the oil and gas industry. The study will also explore the factors that need to be considered in the development of the decision-making tool in this industry, including the availability and quality of data, the level of uncertainty and risk, and the stakeholder preferences. The expected outcomes of this project include a deeper understanding of the challenges and limitations of current MCDA methods in the oil and gas industry, as well as insights into the potential for developing a more effective and comprehensive tool for decision-making in this sector. The results of this study could have significant implications for the oil and gas industry, as well as for other industries that require a systematic approach to decision-making