Prediction and validation of avascular tumor growth pattern in different metabolic conditions using in silico and in vitro models

2021 ◽  
pp. 2150024
Author(s):  
Mahshid Heidari ◽  
Mahboubeh Kabiri
Keyword(s):  
Tumor Growth ◽  
Computational Model ◽  
Growth Pattern ◽  
In Silico ◽  
Cell Activity ◽  
In Vitro Models ◽  
Growth Behavior ◽  
Cell Counting ◽  
Modeling Framework

Objectives: In recent years, scientists have taken many efforts for in vitro and in silico modeling of cancerous tumors. In fact, three-dimensional (3D) cultures of multicellular tumor spheroids (MCTSs) are good validators for computational results. The goal of this study is to simulate the 3D early growth of avascular tumors using MCTSs and to compare the in vitro models with the results and predictions of a specific computational modeling framework. Using these two types of models, the importance of metabolic condition on tumor growth behavior and necrosis could be predicted. Materials and methods: We took advantage of a previously developed computational model of tumor growth (constructed by integrating a generic metabolic network model of cancer cells with a multiscale agent-based framework). Among the computational predictions is the importance of glucose accessibility on tumor growth behavior. To study the effect of glucose concentration experimentally, MCTSs were grown in high and low glucose culture media. After that, tumor growth pattern was analyzed by MTT assay, cell counting and propidium iodide (PI) staining. Results: We obviously observed that the rate of necrosis increases and the rate of tumor growth and cell activity decreases as the glucose availability reduces, which is in line with the computational model prediction.

scholarly journals Integrated experimental-computational analysis of a liver-islet microphysiological system for human-centric diabetes research

2021 ◽  
Author(s):  
Belén Casas ◽  
Liisa Vilén ◽  
Sophie Bauer ◽  
Kajsa Kanebratt ◽  
Charlotte Wennberg Huldt ◽  
...  
Keyword(s):  
Glucose Metabolism ◽  
Computational Model ◽  
In Silico ◽  
Experimental Results ◽  
Published Data ◽  
Diabetes Research ◽  
Glucose Response ◽  
High Blood Glucose

Microphysiological systems (MPS) are powerful tools for emulating human physiology and replicating disease progression in vitro. MPS could be better predictors of human outcome than current animal models, but mechanistic interpretation and in vivo extrapolation of the experimental results remain significant challenges. Here, we address these challenges using an integrated experimental-computational approach. This approach allows for in silico representation and predictions of glucose metabolism in a previously reported MPS with two organ compartments (liver and pancreas) connected in a closed loop with circulating medium. We developed a computational model describing glucose metabolism over 15 days of culture in the MPS. The model was calibrated on an experiment-specific basis using data from seven experiments, where single-liver or liver-islet cultures were exposed to both normal and hyperglycemic conditions resembling high blood glucose levels in diabetes. The calibrated models reproduced the fast (i.e. hourly) variations in glucose and insulin observed in the MPS experiments, as well as the long-term (i.e. over weeks) decline in both glucose tolerance and insulin secretion. We also investigated the behavior of the system under hypoglycemia by simulating this condition in silico, and the model could correctly predict the glucose and insulin responses measured in new MPS experiments. Last, we used the computational model to translate the experimental results to humans, showing good agreement with published data of the glucose response to a meal in healthy subjects. The integrated experimental-computational framework opens new avenues for future investigations toward disease mechanisms and the development of new therapies for metabolic disorders.

scholarly journals In silico tumor growth validation based on human brain cancer models

2018 ◽  
Author(s):  
Μαριάμ-Ελένη Ωραιοπούλου
Keyword(s):  
Tumor Growth ◽  
Human Brain ◽  
Brain Cancer ◽  
In Silico ◽  
Cancer Models

Το Γλοιοβλάστωμα (ΓΒ) συνιστά τον πιο κακοήθη και επιθετικό καρκίνο του εγκεφάλου και μέχρι σήμερα, δε θεωρείται ιάσιμη ασθένεια. Ένα διεπιστημονικό πλαίσιο που ολοκληρώνει τόσο τη Βασική όσο και τη Μεταφραστική έρευνα παρουσιάζεται στοχεύοντας στην επαλήθευση υπολογιστικών προβλέψεων για την ανάπτυξη του ΓΒ. Εξατομικευμένες κυτταροκαλλιέργειες εγκαθιδρύθηκαν ανά ασθενή που συνδυάστηκαν σε πειραματικές διεργασίες σε σχέση με παθοφυσιολογικούς παράγοντες του ΓΒ και ακολούθως, προβλεπτικοί αλγόριθμοι παραμετροποιήθηκαν, αρχικοποιήθηκαν και επαληθεύθηκαν, ανάλογα. Επικεντρωνόμενοι αρχικά στον κυτταρικό πολλαπλασιασμό, η συνδυαστική in vitro-in silico προσέγγιση υποστήριξε ότι η ετερογένεια εντός του όγκου μαζί με το συνολικό πολλαπλασιασμό που αντανακλώνται τόσο στο ρυθμό πολλαπλασιασμού όσο και στη μηχανική κυτταρική αναστολή λόγω επαφής, δύνανται να προβλέψουν την εργαστηριακή εξέλιξη των διάφορων κυτταροσειρών ΓΒ που μεγαλώνουν υπό τις ίδιες 3Δ συνθήκες.Παρουσιάσαμε ότι τα πρωτογενή σφαιρίδια υιοθέτησαν ένα νέο, συνεκτικό μοτίβο που φαίνεται να μιμείται την περιαγγειακή διήθηση στον εγκέφαλο, ενώ τα U87MG και τα T98G σφαιρίδια υιοθετούν το τυπικό, ακτινωτό, διηθητικό μοτίβο. Η προτεινόμενη μαθηματική προσέγγιση δεικνύει ότι επιτρέποντας φαινοτυπική ετερογένεια στον καρκινικό πληθυσμό είναι ικανό ώστε να αναδειχτούν διάφορες διηθητικές μορφολογίες.Η επικουρική χημειοθεραπεία κατά του ΓΒ περιλαμβάνει την Τεμοζολαμίδη (ΤΜΖ)- ωστόσο, δεν είναι όλοι οι ασθενείς ευαίσθητοι. Οι πιο πρόσφατες κλινικές μελέτες του ΓΒ συχνά αναφέρονται στη Δοξορουμπικίνη (ΔΟΞ)- ωστόσο, είναι αδύνατο να περάσει επαρκώς τον αιματεγκεφαλικό φραγμό. Ένα εύρος συγκεντρώσεων ΤΜΖ και ΔΟΞ χρησιμοποιήθηκαν σε πρωτογενή σφαιρίδια. Οι αποτελεσματικές συγκεντρώσεις της ΔΟΞ και της ΤΜΖ διαφοροποιήθηκαν κατά τέσσερις τάξεις μεγέθους. Χρησιμοποιήσαμε Απεικόνιση Λεπτής Δέσμης Φθορισμού ώστε να οπτικοποιήσουμε τη διείσδυση του φαρμάκου και τη νέκρωση. Η ΔΟΞ ήταν ικανή να προκαλέσει νέκρωση με σωρευτικό τρόπο. Στα ΤΜΖ-σφαιρίδια, μη σημαντικά ανασταλτικά αυξητικά φαινόμενα παρατηρήθηκαν σε μη συστηματικό δοσοεξαρτώμενο τρόπο. Έχουμε ενδείξεις για ένα θεραπευτικό σχήμα που συνδυάζει ΤΜΖ-ΔΟΞ. Ένα εργαστηριακό εργαλείο διαλογής φαρμάκων προτάθηκε και επιπλέον, προτείνουμε σε επόμενο στάδιο να επεκτείνουμε αυτές τις παρατηρήσεις στο υβριδικό διακριτό-συνεχές υπολογιστικό μοντέλο.Συγκεντρωτικά, ισχυριζόμαστε πως η μελλοντική έρευνα οφείλει να βασίζεται σε πρωτογενή κύτταρα και οι κοινές κυτταροσειρές θα πρέπει να εξυπηρετούν μόνο ως σημεία αναφοράς. Τα υπολογιστικά μοντέλα μπορούν να εξυπηρετήσουν ως προβλεπτικά εργαλεία όχι μόνο της καρκινικής εξέλιξης, αλλά και του σχεδιασμού στοχευμένων βιολογικών πειραμάτων και να επιτρέψουν την καλύτερη κατανόηση των εμπλεκόμενων βιολογικών φαινομένων. Οι προσομοιώσεις της καρκινικής εξέλιξης δεν πρέπει πλέον να εξαρτώνται από θεωρητικές τιμές, ιδίως όσον αφορά την κλινική μεταφραστικότητα.

scholarly journals Inherited and Acquired Rhythm Disturbances in Sick Sinus Syndrome, Brugada Syndrome, and Atrial Fibrillation: Lessons from Preclinical Modeling

Cells ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 3175
Author(s):  
Laura Iop ◽  
Sabino Iliceto ◽  
Giovanni Civieri ◽  
Francesco Tona
Keyword(s):  
Atrial Fibrillation ◽  
Cardiovascular Diseases ◽  
Brugada Syndrome ◽  
In Silico ◽  
Cardiac Fibrosis ◽  
Sick Sinus Syndrome ◽  
In Vitro Models ◽  
Global Functioning

Rhythm disturbances are life-threatening cardiovascular diseases, accounting for many deaths annually worldwide. Abnormal electrical activity might arise in a structurally normal heart in response to specific triggers or as a consequence of cardiac tissue alterations, in both cases with catastrophic consequences on heart global functioning. Preclinical modeling by recapitulating human pathophysiology of rhythm disturbances is fundamental to increase the comprehension of these diseases and propose effective strategies for their prevention, diagnosis, and clinical management. In silico, in vivo, and in vitro models found variable application to dissect many congenital and acquired rhythm disturbances. In the copious list of rhythm disturbances, diseases of the conduction system, as sick sinus syndrome, Brugada syndrome, and atrial fibrillation, have found extensive preclinical modeling. In addition, the electrical remodeling as a result of other cardiovascular diseases has also been investigated in models of hypertrophic cardiomyopathy, cardiac fibrosis, as well as arrhythmias induced by other non-cardiac pathologies, stress, and drug cardiotoxicity. This review aims to offer a critical overview on the effective ability of in silico bioinformatic tools, in vivo animal studies, in vitro models to provide insights on human heart rhythm pathophysiology in case of sick sinus syndrome, Brugada syndrome, and atrial fibrillation and advance their safe and successful translation into the cardiology arena.

scholarly journals Prediction of the skin permeability of topical drugs using in silico and in vitro models

2019 ◽  
Vol 136 ◽  
pp. 104945 ◽  
Author(s):  
Cristina Alonso ◽  
Víctor Carrer ◽  
Sonia Espinosa ◽  
Miriam Zanuy ◽  
Mònica Córdoba ◽  
...  
Keyword(s):  
In Silico ◽  
In Vitro Models ◽  
Skin Permeability ◽  
Topical Drugs

scholarly journals Antiproliferative Benzoindazolequinones as Potential Cyclooxygenase-2 Inhibitors

Molecules ◽  
2019 ◽  
Vol 24 (12) ◽  
pp. 2261 ◽  
Author(s):  
Aurora Molinari ◽  
Alfonso Oliva ◽  
Marlene Arismendi-Macuer ◽  
Leda Guzmán ◽  
Waldo Acevedo ◽  
...  
Keyword(s):  
Cell Lines ◽  
In Silico ◽  
Antitumor Agents ◽  
Human Cancer ◽  
In Vitro Models ◽  
Cyclooxygenase 2 ◽  
Binding Energies ◽  
Human Cancer Cells ◽  
Mcf 7

Quinones and nitrogen heterocyclic moieties have been recognized as important pharmacophores in the development of antitumor agents. This study aimed to establish whether there was any correlation between the in silico predicted parameters and the in vitro antiproliferative activity of a family of benzoindazolequinones (BIZQs), and to evaluate overexpressed proteins in human cancer cells as potential biomolecular targets of these compounds. For this purpose, this study was carried out using KATO-III and MCF-7 cell lines as in vitro models. Docking results showed that these BIZQs present better binding energies (ΔGbin) values for cyclooxygenase-2 (COX-2) than for other cancer-related proteins. The predicted ∆Gbin values of these BIZQs, classified in three series, positively correlated with IC50 measured in both cell lines (KATO-III: 0.72, 0.41, and 0.90; MCF-7: 0.79, 0.55, and 0.87 for Series I, II, and III, respectively). The results also indicated that compounds 2a, 2c, 6g, and 6k are the most prominent BIZQs, because they showed better IC50 and ∆Gbin values than the other derivatives. In silico drug absorption, distribution, metabolism, and excretion (ADME) properties of the three series were also analyzed and showed that several BIZQs could be selected as potential candidates for cancer pre-clinical assays.

scholarly journals HMGA1 Expression in Human Hepatocellular Carcinoma Correlates with Poor Prognosis and Promotes Tumor Growth and Migration in in vitro Models

Neoplasia ◽  
2016 ◽  
Vol 18 (12) ◽  
pp. 724-731 ◽  
Author(s):  
Mariacarla Andreozzi ◽  
Cristina Quintavalle ◽  
David Benz ◽  
Luca Quagliata ◽  
Matthias Matter ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Growth ◽  
Poor Prognosis ◽  
In Vitro Models ◽  
Human Hepatocellular Carcinoma ◽  
Hmga1 Expression ◽  
And Migration

Analyses of Gingival Adhesion Molecules in Periodontitis: Theoretical In Silico, Comparative In Vivo, and Explanatory In Vitro Models

2016 ◽  
Vol 87 (2) ◽  
pp. 193-202 ◽  
Author(s):  
Ulvi K. Gürsoy ◽  
Fares Zeidán-Chuliá ◽  
Dogukan Yilmaz ◽  
Vural Özdemir ◽  
Juho Mäki-Petäys ◽  
...  
Keyword(s):  
Adhesion Molecules ◽  
In Silico ◽  
In Vitro Models

scholarly journals Phosphotyrosine picked threonine kinase stimulates proliferation of human osteosarcoma cells in vitro and in vivo

2021 ◽  
Author(s):  
Zhe-Xiang Wang ◽  
Shao-Chun Ren ◽  
Jing Ren
Keyword(s):  
Tumor Growth ◽  
Clinical Characteristics ◽  
Clinical Stage ◽  
Cell Counting ◽  
Expression Levels ◽  
Primary Bone Tumor ◽  
Threonine Kinase ◽  
Human Osteosarcoma Cells

IntroductionOsteosarcoma (OS) is the most common primary bone tumor, and the main affected population is adolescents. The survival of OS patients was 10–20% when surgery was used as a single treatment. There is less basic research on OS than other tumors, and we need more ways to improve the survival rate. Phosphotyrosine picked threonine kinase (TTK) has been widely reported as an oncogene in multiple types of cancers, and it is also known as a clinical therapeutic target. This study aims to assess TTK expression levels in human OS tissues and its link with the clinical characteristics of OS patients, and to evaluate the potential role in OS development.Material and methodsImmunohistochemical (IHC) assays were conducted to detect the expression levels of TTK in a total of 74 OS tissues and the corresponding adjacent tissues. Furthermore, according to the staining intensity of TTK in tumor tissues, patients were divided into TTK high and low expression groups. The possible correlation between TTK expression levels and clinical features were analyzed, and the effects of TTK on OS cell proliferation were detected through colony formation and cell counting kit-8 (CCK8) assays. The effects of TTK on tumor growth were detected using an animal model.ResultsPhosphotyrosine picked threonine kinase was abnormally highly expressed in human OS tissues. Meanwhile, TTK was significantly correlated with the clinical characteristics such as tumor size (p = 0.004*) and clinical stage (p = 0.014*) of OS patients. Our results also revealed that the inhibition of TTK dramatically suppressed the proliferation of OS cells in vitro and blocked tumor growth in mice.ConclusionsWe demonstrated the involvement of TTK in the development of OS, and therefore we suggest that TTK should be considered as a promising therapy target for OS.

scholarly journals Lacidipine Ameliorates the Endothelial Senescence and Inflammatory Injury Through CXCR7/P38/C/EBP-β Signaling Pathway

2021 ◽  
Vol 8 ◽  
Author(s):  
Xing Liu ◽  
Zhuoshan Huang ◽  
Yuanyuan Zhang ◽  
Xing Shui ◽  
Fanmao Liu ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Blood Pressure ◽  
Signaling Pathway ◽  
Cell Activity ◽  
Protective Role ◽  
Cell Counting ◽  
Control Group ◽  
Inflammatory Injury ◽  
Beneficial Effects

Background: Lacidipine, a third-generation calcium channel blocker, exerts beneficial effects on the endothelium of hypertensive patients in addition to blood pressure lowering. However, the detailed mechanism underlying Lacidipine-related endothelial protection is still elusive.Methods: Sixteen spontaneous hypertensive rats (SHRs) were randomly divided into two groups: Lacidipine-treated SHR group and saline-treated control group. Tail systolic blood pressure was monitored for four consecutive weeks. Endothelial cells (ECs) were pretreated with Lacidipine prior to being stimulated with H2O2, bleomycin, or Lipopolysaccharides (LPS) in vitro. Then, cell activity, migration, and senescence were measured by Cell Counting Kit-8 assay, transwell assay, and β-galactosidase staining, respectively. The fluorescent probe 2′, 7′-dichlorofluorescein diacetate (DCFH-DA) was used to assess the intracellular reactive oxygen species (ROS). Related protein expression was detected by Western blotting and immunofluorescence.Results: Our data showed that Lacidipine treatment lowered the blood pressure of SHRs accompanied by the elevation of CXCR7 expression and suppression of P38 and CCAAT/enhancer-binding protein beta (C/EBP-β) compared with the control group. In vitro experiments further demonstrated that Lacidipine increased the cell viability and function of ECs under oxidative stress, cell senescence, and inflammatory activation via the CXCR7/P38/signaling pathway.Conclusions: Our results suggested that Lacidipine plays a protective role in EC senescence, oxidative stress, and inflammatory injury through the regulation of CXCR7/P38/C/EBP-β signaling pathway.

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