scholarly journals Heterotypic Multicellular Spheroids as Experimental and Preclinical Models of Sprouting Angiogenesis

Biology ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 18
Author(s):  
Igor V. Vakhrushev ◽  
Elizaveta K. Nezhurina ◽  
Pavel A. Karalkin ◽  
Anastasia V. Tsvetkova ◽  
Nataliya S. Sergeeva ◽  
...  

Sprouting angiogenesis is the common response of live tissues to physiological and pathological angiogenic stimuli. Its accurate evaluation is of utmost importance for basic research and practical medicine and pharmacology and requires adequate experimental models. A variety of assays for angiogenesis were developed, none of them perfect. In vitro approaches are generally less physiologically relevant due to the omission of essential components regulating the process. However, only in vitro models can be entirely non-xenogeneic. The limitations of the in vitro angiogenesis assays can be partially overcome using 3D models mimicking tissue O2 and nutrient gradients, the influence of the extracellular matrix (ECM), and enabling cell-cell interactions. Here we present a review of the existing models of sprouting angiogenesis that are based on the use of endothelial cells (ECs) co-cultured with perivascular or other stromal cells. This approach provides an excellent in vitro platform for further decoding of the cellular and molecular mechanisms of sprouting angiogenesis under conditions close to the in vivo conditions, as well as for preclinical drug testing and preclinical research in tissue engineering and regenerative medicine.

Biology ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 929
Author(s):  
Michela Relucenti ◽  
Federica Francescangeli ◽  
Maria Laura De De Angelis ◽  
Vito D'Andrea ◽  
Selenia Miglietta ◽  
...  

Spheroids from primary colorectal cancer cells and their mice xenografts have emerged as useful preclinical models for cancer research as they replicate tumor features more faithfully as compared to cell lines. While 3D models provide a reliable system for drug discovery and testing, their structural complexity represents a challenge and their structure-function relationships are only partly understood. Here, we present a comparative ultrastructural and flow citometric analysis of patient colorectal cancer-derived spheroids and their mice xenografts. Ultrastructural observations highlighted that multicellular spheroids and their xenografts contain the same cancer cell types but with different ratios, specifically multicellular spheroids were enriched in cells with a stem-like phenotype, while xenografts had an increased amount of lipid droplets-containing cells. The flow cytometric analysis for stem cell marker and activity showed enrichment of stem-like cells presence and activity in spheroids while xenografts had the inverse response. Our results evidence the effects on cancer cells of different in vitro and in vivo microenvironments. Those differences have to be paid into account in designing innovative experimental models for personalized drug testing.


Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3651
Author(s):  
Alexandru Blidisel ◽  
Iasmina Marcovici ◽  
Dorina Coricovac ◽  
Florin Hut ◽  
Cristina Adriana Dehelean ◽  
...  

Hepatocellular carcinoma (HCC), the most frequent form of primary liver carcinoma, is a heterogenous and complex tumor type with increased incidence, poor prognosis, and high mortality. The actual therapeutic arsenal is narrow and poorly effective, rendering this disease a global health concern. Although considerable progress has been made in terms of understanding the pathogenesis, molecular mechanisms, genetics, and therapeutical approaches, several facets of human HCC remain undiscovered. A valuable and prompt approach to acquire further knowledge about the unrevealed aspects of HCC and novel therapeutic candidates is represented by the application of experimental models. Experimental models (in vivo and in vitro 2D and 3D models) are considered reliable tools to gather data for clinical usability. This review offers an overview of the currently available preclinical models frequently applied for the study of hepatocellular carcinoma in terms of initiation, development, and progression, as well as for the discovery of efficient treatments, highlighting the advantages and the limitations of each model. Furthermore, we also focus on the role played by computational studies (in silico models and artificial intelligence-based prediction models) as promising novel tools in liver cancer research.


2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi215-vi216
Author(s):  
Melanie Schoof ◽  
Carolin Göbel ◽  
Dörthe Holdhof ◽  
Sina Al-Kershi ◽  
Ulrich Schüller

Abstract DNA methylation based classification of brain tumors has revealed a high heterogeneity between tumors and led to the description of multiple distinct subclasses. The increasing subdivision of tumors can help to understand molecular mechanisms of tumor development and to improve therapy if appropriate model systems for preclinical research are available. Multiple recent publications have described a subgroup of pediatric glioblastoma which is clearly separable from other pediatric and adult glioblastoma in its DNA methylation profile (GBM MYCN). Many cases in this group are driven by MYCN amplifications and harbor TP53 mutations. These tumors almost exclusively occur in children and were further described as highly aggressive with a median overall survival of only 14 months. In order to further investigate the biology and treatment options of these tumors, we generated hGFAP-cre::TP53 Fl/Fl ::lsl-MYCN mice. These mice carry a loss of TP53 and show aberrant MYCN expression in neural precursors of the central nervous system. The animals develop large forebrain tumors within the first 80 days of life with 100 % penetrance. These tumors resemble human GBM MYCN tumors histologically and are sensitive to AURKA and ATR inhibitors in vitro. We believe that further characterization of the model and in vivo treatment studies will pave the way to improve treatment of patients with these highly aggressive tumors.


Author(s):  
Marco Raffaele ◽  
Khaled Greish ◽  
Luca Vanella ◽  
Giuseppe Carota ◽  
Fatemah Bahman ◽  
...  

Background: Pomegranate is a fruit rich in bioactive compounds such as punicalagins, gallic acid, and ellagic acid derivatives. It has been widely used since ancient times in traditional medicine for a wide variety of diseases. It has been reported that bioactive compounds, such as polyphenols, are able to induce the expression of cytoprotective enzymes, including HO-1. The contribution of HO-1 activity to the prevention of intestinal inflammation has been shown in different models of Inflammatory bowel diseases (IBD). Objective: Aim of the present research was to investigate the molecular mechanisms involved in the beneficial effects of a pomegranate extract (PE), rich in bioactive compounds in intestinal inflammation. Methods: Caco-2 cells exposed to LPS and DSS induced colitis were chosen as convenient experimental models of intestinal inflammation. Results: Results obtained in our experimental conditions, showed that PE in vitro was able to induce HO-1 and to reduce cellular damage and oxidative stress through increase of GSH levels. Moreover, PE was able to decrease the pro-inflammatory marker IL-8 levels and to activate TIGAR pathway. The results obtained in vivo, in agreement with the data obtained in vitro, highlighted the ability of PE to reduce intestinal inflammation, preserve the colon length and histological features and reduce IL-6 levels compared to the DSS treated group. Conclusion: PE, rich in bioactive compounds, could contribute, as supportive therapy, to enhance the effects of the conventional therapeutic strategies to the management of IBD.


2020 ◽  
Vol 48 (01) ◽  
pp. 161-182 ◽  
Author(s):  
Jihan Huang ◽  
Wei Guo ◽  
Fan Cheung ◽  
Hor-Yue Tan ◽  
Ning Wang ◽  
...  

Unlike Western medicines with single-target, the traditional Chinese medicines (TCM) always exhibit diverse curative effects against multiple diseases through its “multi-components” and “multi-targets” manifestations. However, discovery and identification of the major therapeutic diseases and the underlying molecular mechanisms of TCM remain to be challenged. In the current study, we, for the first time, applied an integrated strategy by combining network pharmacology with experimental evaluation, for exploration and demonstration of the therapeutic potentials and the underlying possible mechanisms of a classic TCM formula, Huanglian Jiedu decoction (HLJDD). First, the herb–compound, compound–protein, protein–pathway, and gene–disease networks were constructed to predict the major therapeutic diseases of HLJDD and explore the underlying molecular mechanisms. Network pharmacology analysis showed the top one predicted disease of HLJDD treatment was cancer, especially hepatocellular carcinoma (HCC) and inflammation-related genes played an important role in the treatment of HLJDD on cancer. Next, based on the prediction by network pharmacology analysis, both in vitro HCC cell and in vivo orthotopic HCC implantation mouse models were established to validate the curative role of HLJDD. HLJDD exerted its antitumor activity on HCC in vitro, as demonstrated by impaired cell proliferation and colony formation abilities, induced apoptosis and cell cycle arrest, as well as inhibited migratory and invasive properties of HCC cells. The orthotopic HCC implantation mouse model further demonstrated the remarkable antitumour effects of HLJDD on HCC in vivo. In conclusion, our study demonstrated the effectiveness of integrating network pharmacology with experimental study for discovery and identification of the major therapeutic diseases and the underlying molecular mechanisms of TCM.


Author(s):  
Verônica Assalin Zorgetto-Pinheiro ◽  
Alexandre Meira de Vasconcelos ◽  
Rafael Sanaiotte Pinheiro ◽  
Danielle Bogo ◽  
Iandara Schettert Silva

Rheumatoid arthritis is an autoimmune and chronic pathological condition characterized by an inflammatory process of the joints It is a complex and multifactorial, involving genetic, epigenetic and environmental factors and the use of experimental models is required to better understand its pathology and for drug testing. The aim of this study was to perform a systematic literature review on experimental models in rheumatoid arthritis using IRAMUTEQ, a software that analysis, qualitatively and quantitatively, text fragments, as a methodological tool. After searching for articles published in the last five years on Scopus database and applying the exclusion criteria, we ended with 84 articles. The most commonly employed experimental models was the arthritis induction by inoculation of the Complete Freund's Adjuvant (CFA), followed by the use of combined methodologies and the collagen-induced arthritis (CIA). The analyses of abstracts by the IRAMUTEQ software provided a classification according to their textual elements in four classes, which were grouped into three main themes: in vivo models (class 1), clinical practice and traditional medicine (classes 2 and 3) and in vitro models (class 4) and it was also possible to build a similarity tree of the terms present in the abstracts and a word cloud with the most cited terms. Thus, the use of the IRAMUTEQ software as a methodological tool has been satisfactory, since it was possible to identify the main experimental models used, keywords, pathological processes and molecules involved in the pathogenesis of rheumatoid arthritis free of the researchers’ bias, in addition to being a tool for visual and intuitive results.


Author(s):  
Beate Stock-Schroeer ◽  
P. Christian Endler ◽  
Petra Koczy ◽  
Stephan Baumgartner

1. Introduction Almost fifteen years after introducing HomBRex database [1] the number of registered experiments increased from about 900 at that time to more than 2000 in 2016. This worldwide unique database provides the most comprehensive library on basic research in the field of homeopathy. The first overview on classification of systems and methods used in basic research came to the conclusion that a variety of research questions can be derived from the huge number of data collected in HomBRex [2]. After evaluation of proving and therapeutic experiments [3], infection models [4] and the use of high potencies in basic research on homeopathy [5], the current study deals with the question which homeopathic substances in what sort of experiments were mainly under investigation. 2. Methods The HomBRex database is updated continuously by systematic searching of bibliographic databases. Each registered experiment is analyzed by scientists of the Carstens-foundation (lately BS, PK) to provide detailed information on the following items: organism, condition, substance, in vitro/in vivo, prophylactic/therapeutic, potency, and others. For the current study, the entire database was categorized according to the substances investigated. For selected substances, further subgroups were analyzed (e.g. organism, research field, and others). 3. Results The following substances rank among the top ten of investigated substances in basic research: Arsenicum album (N=189), Sulfur (N=103), Thuja occidentalis (N=77), Belladonna (N=72), Natrium chloratum (N=70), Cuprum sulfuricum (N=70), Arnica montana (N=70), Mercurius corrosivus (N=60), Phosphorus (N=60) and Apis mellifica (N=60). Arsenicum album, first on the list, was tested on animals in 78 experiments, in 52 on plants. 91 experiments were conducted in vitro and 98 in vivo. 175 authors report positive results, 14 state negative results. Apis mellifica, the number ten,s tested on animals (N=16, mainly on guinea pigs and rats) in the field of toxicology or physiology. Sixteen experiments deal with human cells, mainly on reaction in blood cells granulocytes and lymphocytes e.g. with different potencies of the substance. Experiments with plants focus on virus infected plants and their treatment with Apis, only two experiments belong to the field of physical chemistry. Most of the authors report on positive results in their papers (N=57), only three state negative results. 4. Discussion/Conclusion The most often used substances in published homeopathic basic research are well proven, well known and also frequently used homeopathic remedies in human therapy. Inorganic compounds predominate. Quantitative meta-analyses are still difficult due to the heterogeneity of experimental models used. The current analysis provides an overview on which substances are most relevant for future replication trials in defined experimental models.


2013 ◽  
Vol 2013 ◽  
pp. 1-22 ◽  
Author(s):  
Abderrahim Nemmar ◽  
Jørn A. Holme ◽  
Irma Rosas ◽  
Per E. Schwarze ◽  
Ernesto Alfaro-Moreno

Epidemiological and clinical studies have linked exposure to particulate matter (PM) to adverse health effects, which may be registered as increased mortality and morbidity from various cardiopulmonary diseases. Despite the evidence relating PM to health effects, the physiological, cellular, and molecular mechanisms causing such effects are still not fully characterized. Two main approaches are used to elucidate the mechanisms of toxicity. One is the use ofin vivoexperimental models, where various effects of PM on respiratory, cardiovascular, and nervous systems can be evaluated. To more closely examine the molecular and cellular mechanisms behind the different physiological effects, the use of variousin vitromodels has proven to be valuable. In the present review, we discuss the current advances on the toxicology of particulate matter and nanoparticles based on these techniques.


2021 ◽  
Vol 22 (3) ◽  
pp. 1195
Author(s):  
Giada Bassi ◽  
Maria Aurora Grimaudo ◽  
Silvia Panseri ◽  
Monica Montesi

A hot topic in biomedical science is the implementation of more predictive in vitro models of human tissues to significantly improve the knowledge of physiological or pathological process, drugs discovery and screening. Bidimensional (2D) culture systems still represent good high-throughput options for basic research. Unfortunately, these systems are not able to recapitulate the in vivo three-dimensional (3D) environment of native tissues, resulting in a poor in vitro–in vivo translation. In addition, intra-species differences limited the use of animal data for predicting human responses, increasing in vivo preclinical failures and ethical concerns. Dealing with these challenges, in vitro 3D technological approaches were recently bioengineered as promising platforms able to closely capture the complexity of in vivo normal/pathological tissues. Potentially, such systems could resemble tissue-specific extracellular matrix (ECM), cell–cell and cell–ECM interactions and specific cell biological responses to mechanical and physical/chemical properties of the matrix. In this context, this review presents the state of the art of the most advanced progresses of the last years. A special attention to the emerging technologies for the development of human 3D disease-relevant and physiological models, varying from cell self-assembly (i.e., multicellular spheroids and organoids) to the use of biomaterials and microfluidic devices has been given.


2012 ◽  
Vol 303 (11) ◽  
pp. F1487-F1494 ◽  
Author(s):  
Qingqing Wei ◽  
Zheng Dong

Renal ischemia-reperfusion leads to acute kidney injury (AKI), a major kidney disease associated with an increasing prevalence and high mortality rates. A variety of experimental models, both in vitro and in vivo, have been used to study the pathogenic mechanisms of ischemic AKI and to test renoprotective strategies. Among them, the mouse model of renal clamping is popular, mainly due to the availability of transgenic models and the relatively small animal size for drug testing. However, the mouse model is generally less stable, resulting in notable variations in results. Here, we describe a detailed protocol of the mouse model of bilateral renal ischemia-reperfusion. We share the lessons and experiences gained from our laboratory in the past decade. We further discuss the technical issues that account for the variability of this model and offer relevant solutions, which may help other investigators to establish a well-controlled, reliable animal model of ischemic AKI.


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