Engineered In Vitro/In Silico Models To Examine Neurite Target Preference

2011 ◽  
Vol 28 (11) ◽  
pp. 2363-2375
Author(s):  
Andrew G. Voyiadjis ◽  
Helen M. Buettner ◽  
David Shreiber ◽  
Troy Shinbrot
Keyword(s):  
Author(s):  
Emanuele Gasparotti ◽  
Margherita Cioffi ◽  
Vincenzo Positano ◽  
Emanuele Vignali ◽  
Benigno Marco Fanni ◽  
...  

Cardiovascular diseases (CVD) are disorders of the heart and blood vessels and represent 31% of all global deaths. In the contest of CVD, the use of animal experiments has been a contentious subject for many years. In recent years, in vitro and in silico models and methods have been proposed according to the 3Rs statement. However, an exhaustive report regarding the state of art in terms of in vitro and in silico experiments has not been reported yet. This work is focused on providing a collection of non-animal models and methods in use for basic and applied CVD research. The standardized descriptions of such studies will ultimately feed into EURL ECVAM database on alternative methods. Two are the research main phases. Firstly, the exclusion/ inclusion criteria and the list of relevant information resources of the research have been defined. The second phase regards the search, selection and detailed description of the literature papers by analysing records on Scopus and Pubmed databases.


Author(s):  
Megan Chesnut ◽  
Laura S. Muñoz ◽  
Georgina Harris ◽  
Dana Freeman ◽  
Lucio Gama ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Rafael Dariolli ◽  
Chiara Campana ◽  
Amy Gutierrez ◽  
Eric A. Sobie

The rapid dissemination of SARS-CoV-2 has made COVID-19 a tremendous social, economic, and health burden. Despite the efforts to understand the virus and treat the disease, many questions remain unanswered about COVID-19 mechanisms of infection and progression. Severe Acute Respiratory Syndrome (SARS) infection can affect several organs in the body including the heart, which can result in thromboembolism, myocardial injury, acute coronary syndromes, and arrhythmias. Numerous cardiac adverse events, from cardiomyocyte death to secondary effects caused by exaggerated immunological response against the virus, have been clinically reported. In addition to the disease itself, repurposing of treatments by using “off label” drugs can also contribute to cardiotoxicity. Over the past several decades, animal models and more recently, stem cell-derived cardiomyocytes have been proposed for studying diseases and testing treatments in vitro. In addition, mechanistic in silico models have been widely used for disease and drug studies. In these models, several characteristics such as gender, electrolyte imbalance, and comorbidities can be implemented to study pathophysiology of cardiac diseases and to predict cardiotoxicity of drug treatments. In this Mini Review, we (1) present the state of the art of in vitro and in silico cardiomyocyte modeling currently in use to study COVID-19, (2) review in vitro and in silico models that can be adopted to mimic the effects of SARS-CoV-2 infection on cardiac function, and (3) provide a perspective on how to combine some of these models to mimic “COVID-19 cardiomyocytes environment.”


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jacobo Ayensa-Jiménez ◽  
Marina Pérez-Aliacar ◽  
Teodora Randelovic ◽  
Sara Oliván ◽  
Luis Fernández ◽  
...  

AbstractIn silico models and computer simulation are invaluable tools to better understand complex biological processes such as cancer evolution. However, the complexity of the biological environment, with many cell mechanisms in response to changing physical and chemical external stimuli, makes the associated mathematical models highly non-linear and multiparametric. One of the main problems of these models is the determination of the parameters’ values, which are usually fitted for specific conditions, making the conclusions drawn difficult to generalise. We analyse here an important biological problem: the evolution of hypoxia-driven migratory structures in Glioblastoma Multiforme (GBM), the most aggressive and lethal primary brain tumour. We establish a mathematical model considering the interaction of the tumour cells with oxygen concentration in what is called the go or grow paradigm. We reproduce in this work three different experiments, showing the main GBM structures (pseudopalisade and necrotic core formation), only changing the initial and boundary conditions. We prove that it is possible to obtain versatile mathematical tools which, together with a sound parametric analysis, allow to explain complex biological phenomena. We show the utility of this hybrid “biomimetic in vitro-in silico” platform to help to elucidate the mechanisms involved in cancer processes, to better understand the role of the different phenomena, to test new scientific hypotheses and to design new data-driven experiments.


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