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A Framework Tissue Moment of Cell Made from Stem Cells and Microphysiological Systems
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Journal of Tissue Science and Engineering

ISSN: 2157-7552

Open Access

Commentary - (2022) Volume 13, Issue 11

A Framework Tissue Moment of Cell Made from Stem Cells and Microphysiological Systems

Charlotte Lewis*
*Correspondence: Charlotte Lewis, Departments of Pathology, Cell Biology, University of Perth, Australia, Email:
Departments of Pathology, Cell Biology, University of Perth, Australia

Received: 02-Nov-2022, Manuscript No. JTSE-23-86573; Editor assigned: 05-Nov-2022, Pre QC No. P-86573; Reviewed: 16-Nov-2022, QC No. Q-86573; Revised: 22-Nov-2022, Manuscript No. R-86573; Published: 29-Nov-2022 , DOI: 10.37421/2157-7552.2022.13.305
Citation: Lewis, Charlotte. “A Framework Tissue Moment of Cell Made from Stem Cells and Microphysiological Systems.” J Tiss Sci Eng 13 (2022): 305.
Copyright: © 2022 Lewis C. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Description

Metastasis is responsible for nearly all cancer-related deaths. Cancer therapies are limited by the protective environment of the metastatic niche, making these disseminated cancers incurable. Metastatic disease progression is still poorly understood due to a lack of relevant model systems. We propose an all-human micro physiological system for studying cancer behaviour in the liver metastatic habitat to fill this knowledge gap. The hepatic niche is modelled by the current Liver Chip, a three-dimensional system. It effectively imitates micro metastases and contains all human parenchymal and no parenchymal cells. In addition, this method makes it possible to evaluate human-specific signals and monitor micro metastasis in real time [1].

Utilizing programmable micro dispensers, it is being used to investigate the activity of existing and novel drugs on micro metastases under conditions that mimic diurnal fluctuations in hormones, nutrition, and mild inflammatory states to advance our understanding of chemotherapeutic efficacy. The cues that drive the responses of tumor cells are influenced by these cues. The gut microbiome's response to inflammatory signals, the stress hormone cortisol, and the glucose/insulin responses are the three signalling groups currently under investigation. Urea, antitrypsin, fibrinogen, cytochrome P450, and damage all indicate that the system can currently maintain functioning hepatocytes for at least 15 days. A subset of breast cancer cells may experience growth inhibition, according to preliminary evidence, and breast cancer cell lines easily integrate into the hepatic niche without disrupting observable tissue. In the early microenvironment of micro metastases, map technology and systems biology modelling are also utilized to evaluate cellular crosstalk and depict communication networks. By clarifying the paracrine effects of hepatic and metastatic cells and evaluating drug efficacy for metastasis, this model is expected to identify new therapeutic options for metastasis [2].

The most common cause of cancer-related death is metastasis. A succession of biological processes that enable cancer cells to move from a primary site to secondary organs is what results in metastases. Cells can escape the underlying tumour through intrastation into the circulation and extravasation into the parenchyma of a distant organ. The cells that successfully disperse may either grow right away or remain dormant for years or decades as microscopic or pre-malignant micro metastases before becoming clinically evident. This is especially concerning in the context of breast cancer, in which up to 30% of women with early-stage disease will later recur with metastatic disease despite the fact that the primary tumor is typically successfully treated. due to the extensive growth of metastatic tumours. One of the biggest obstacles to the development of cancer treatments that target micro metastases is the limitation of existing model systems [3,4]. Animal models are not suitable for this kind of research because they frequently only evaluate endpoints in addition to humanrelevant issues.

Despite the fact that immunocompromised mouse models are frequently used, research has demonstrated the significance of immune systems in the micro metastatic microenvironment. Animal studies that make use of syngeneic models are not completely accurate representations of the human condition due to differences in cytokines and metabolism between species. Presently used 2D culture systems lack essential characteristics that influence tumour behaviour for in vitro culture research, such as a 3D design that provides tissue depth for tumour intercalation; functional aspects, such as the regulation of fluid flow and oxygen content, prevent prolonged culture. In addition, there is a notable dearth of models that are able to evaluate drug metabolism, toxicity, and efficacy while also reproducing micro metastasis. Numerous researchers have utilized bioreactor-grown organotypic cultures as investigative tools to address these issues.

The liver is an excellent organ system for investigating the effectiveness of cancer treatments and micro metastasis. To begin, a variety of carcinomas, including breast, lung, colon, prostate, brain, and melanomas, frequently spread there as metastases. 30–70% of cancer patients, depending on the type of underlying tumour, are affected by hepatic metastases. Second, drug metabolism both activation and detoxification primarily takes place in the liver, which is crucial for assessing cancer therapy's efficacy and minimizing side effects. In addition, there is evidence that liver function is impacted by metastatic disease, potentially increasing toxicity and altering the agent's effectiveness against the tumour [5].

Acknowledgement

None.

Conflict of Interest

None.

References

  1. Clark, Amanda M., Sarah E. Wheeler, Donald P. Taylor and Venkateswaran C. Pillai, et al. "A microphysiological system model of therapy for liver micrometastases." Exper Bio Medi 239 (2014): 1170-1179.
  2. Google Scholar, Crossref, Indexed at

  3. Chen, Nan, Mieradilijiang Abudupataer, Sisi Feng and Shichao Zhu, et al. "Engineering a human pluripotent stem cell-based in vitro microphysiological system for studying the metformin response in aortic smooth muscle cells.Front Bioeng Biotechnol 9 (2021): 190.
  4. Google Scholar, Crossref, Indexed at

  5. Birla, Ravi K., and Stuart K. Williams. "3D bioprinting and its potential impact on cardiac failure treatment: An industry perspective." APL Bioeng 4 (2020): 010903.
  6. Google Scholar, Crossref, Indexed at

  7. Lock, Roberta, Hadel Al Asafen, Sharon Fleischer and Manuel Tamargo, et al. "A framework for developing sex-specific engineered heart models." Nat Rev Mat 7 (2022): 295-313.
  8. Google Scholar, Crossref, Indexed at

  9. Marx, Uwe, Tommy B. Andersson, Anthony Bahinski and Mario Beilmann, et al. "Biology-inspired microphysiological system approaches to solve the prediction dilemma of substance testing." Altex 33 (2016): 272.
  10. Google Scholar, Crossref, Indexed at

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