Coupling biomechanics to a cellular level model: An approach to patient-specific image driven multi-scale and multi-physics tumor simulation

2011 ◽  
Vol 107 (1) ◽  
pp. 193-199 ◽  
Author(s):  
Christian P. May ◽  
Eleni Kolokotroni ◽  
Georgios S. Stamatakos ◽  
Philippe Büchler
2020 ◽  
Author(s):  
Tilda Herrgårdh ◽  
Hao Li ◽  
Elin Nyman ◽  
Gunnar Cedersund

AbstractGlucose homeostasis is the tight control of glucose in the blood. This complex control is important and not yet sufficiently understood, due to its malfunction in serious diseases like diabetes. Due to the involvement of numerous organs and sub-systems, each with their own intra-cellular control, we have developed a multi-level mathematical model, for glucose homeostasis, which integrates a variety of data. Over the last 10 years, this model has been used to insert new insights from the intra-cellular level into the larger whole-body perspective. However, the original cell-organ-body translation has during these years never been updated, despite several critical shortcomings, which also have not been resolved by other modelling efforts. For this reason, we here present an updated multi-level model. This model provides a more accurate sub-division of how much glucose is being taken up by the different organs. Unlike the original model, we now also account for the different dynamics seen in the different organs. The new model also incorporates the central impact of blood flow on insulin-stimulated glucose uptake. Each new improvement is clear upon visual inspection, and they are also supported by statistical tests. The final multi-level model describes >300 data points in >40 time-series and dose-response curves, resulting from a large variety of perturbations, describing both intra-cellular processes, organ fluxes, and whole-body meal responses. We hope that this model will serve as an improved basis for future data integration, useful for research and drug developments within diabetes.


Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3742
Author(s):  
Marlon Arnone ◽  
Martina Konantz ◽  
Pauline Hanns ◽  
Anna M. Paczulla Stanger ◽  
Sarah Bertels ◽  
...  

Patients suffering from acute myeloid leukemia (AML) show highly heterogeneous clinical outcomes. Next to variabilities in patient-specific parameters influencing treatment decisions and outcome, this is due to differences in AML biology. In fact, different genetic drivers may transform variable cells of origin and co-exist with additional genetic lesions (e.g., as observed in clonal hematopoiesis) in a variety of leukemic (sub)clones. Moreover, AML cells are hierarchically organized and contain subpopulations of more immature cells called leukemic stem cells (LSC), which on the cellular level constitute the driver of the disease and may evolve during therapy. This genetic and hierarchical complexity results in a pronounced phenotypic variability, which is observed among AML cells of different patients as well as among the leukemic blasts of individual patients, at diagnosis and during the course of the disease. Here, we review the current knowledge on the heterogeneous landscape of AML surface markers with particular focus on those identifying LSC, and discuss why identification and targeting of this important cellular subpopulation in AML remains challenging.


Author(s):  
Karen Chang Yan ◽  
Kalyani Nair ◽  
Wei Sun

Bio-fabrication methods utilize mechanical means to manufacture products with living cells incorporated. During the fabrication process, cells are involuntarily manipulated and/or exposed to mechanical disturbances that may not be present in the normal physiological environment. One of fundamental questions that need to be answered is whether cells remain viable and/or functional when subjected to mechanical disturbances. This paper presents the development of a theory that can address relation between applied mechanical forces and cellular response from a mechanics point of view. Specifically, a 3D multi-scale numerical model is developed and applied to determine the stress and deformation fields at the cellular level when the tissue construct is subjected to macro-level loads. Based on the detailed information rendered for the micro stress and deformation fields, a general theory is then formulated. A simulation for a 3D alginate tissue construct with encapsulated cells under uniform compression is conducted to illustrate the solution technique. Comparison between the predicted cell viability and experimental data demonstrates that the proposed theory is capable of capturing the experimental trend.


2014 ◽  
Vol 41 (6Part15) ◽  
pp. 282-282
Author(s):  
A Besemer ◽  
B Titz ◽  
J Grudzinski ◽  
J Weichert ◽  
L Hall ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Xinchao Hu ◽  
Chengyuan Mao ◽  
Liyuan Fan ◽  
Haiyang Luo ◽  
Zhengwei Hu ◽  
...  

Parkinson’s disease (PD) is the second most common neurodegenerative disease. The molecular mechanisms of PD at the cellular level involve oxidative stress, mitochondrial dysfunction, autophagy, axonal transport, and neuroinflammation. Induced pluripotent stem cells (iPSCs) with patient-specific genetic background are capable of directed differentiation into dopaminergic neurons. Cell models based on iPSCs are powerful tools for studying the molecular mechanisms of PD. The iPSCs used for PD studies were mainly from patients carrying mutations in synuclein alpha (SNCA), leucine-rich repeat kinase 2 (LRRK2), PTEN-induced putative kinase 1 (PINK1), parkin RBR E3 ubiquitin protein ligase (PARK2), cytoplasmic protein sorting 35 (VPS35), and variants in glucosidase beta acid (GBA). In this review, we summarized the advances in molecular mechanisms of Parkinson’s disease using iPSC models.


2013 ◽  
Vol 3 (2) ◽  
pp. 20120057 ◽  
Author(s):  
K. S. Burrowes ◽  
J. De Backer ◽  
R. Smallwood ◽  
P. J. Sterk ◽  
I. Gut ◽  
...  

The respiratory system comprises several scales of biological complexity: the genes, cells and tissues that work in concert to generate resultant function. Malfunctions of the structure or function of components at any spatial scale can result in diseases, to the detriment of gas exchange, right heart function and patient quality of life. Vast amounts of data emerge from studies across each of the biological scales; however, the question remains: how can we integrate and interpret these data in a meaningful way? Respiratory disease presents a huge health and economic burden, with the diseases asthma and chronic obstructive pulmonary disease (COPD) affecting over 500 million people worldwide. Current therapies are inadequate owing to our incomplete understanding of the disease pathophysiology and our lack of recognition of the enormous disease heterogeneity: we need to characterize this heterogeneity on a patient-specific basis to advance healthcare. In an effort to achieve this goal, the AirPROM consortium ( Air way disease Pr edicting O utcomes through patient-specific computational M odelling) brings together a multi-disciplinary team and a wealth of clinical data. Together we are developing an integrated multi-scale model of the airways in order to unravel the complex pathophysiological mechanisms occurring in the diseases asthma and COPD.


2012 ◽  
Vol 102 (3) ◽  
pp. 351a
Author(s):  
Adarsh Krishnamurthy ◽  
Chris Villongco ◽  
Roy Kerckhoffs ◽  
Andrew McCulloch

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