Citation: Giulia Pozzi, Stefano Marchesi, Giorgio Scita, Davide Ambrosi, Pasquale Ciarletta. Mechano-biological model of glioblastoma cells in response to osmotic stress[J]. Mathematical Biosciences and Engineering, 2019, 16(4): 2795-2810. doi: 10.3934/mbe.2019139
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Environmental degradation and climate change exacerbate the challenges humanity faces. Coping with climate change, controlling environmental pollution and promoting harmonious coexistence between man and nature have become the core issues of sustainable development of the global economy and society. The Sustainable Development Goals and the Paris Agreement on Climate Change indicate a fundamental re-organization of both the financial system and the economy it serves and also imply an intensive study of the current economic and financial development model of every country. Hence, aligning finance with sustainability is subject to much research, experimentation and practice.
Green Finance (GF) is an international, interdisciplinary Open Access journal devoted to publishing peer-reviewed, high quality original papers in the field of green finance, environment, and sustainability research and practice. Green Finance interprets low-carbon topics from an economic perspective, and conducts quantitative research on green finance through carbon finance, carbon information disclosure and other aspects, so as to achieve win-win between economic value and social value. GF dedicates to providing speedy review to accelerate publication process. GF will focus primarily on original research articles, but will also publish reviews, editorials, letters, and conference reports.
Green Finance builds a much-needed platform for publishing original contributions and comprehensive technical review articles with a scope that spans all areas of green finance, green economics, and environmental and sustainable issues. A particular emphasis is placed on three aspects: Financial support for sustainable development, green financial products especially energy finance, and finance and R & D innovation.
Firstly, green finance research is an important means to promote the sustainable development of society, economy and ecology. Green finance is defined as comprising "all forms of investment or lending that consider environmental effect and enhance environmental sustainability" (Volz et al., 2015: 2). Sustainable investment and lending are significant aspects of green finance, considering sustainable standards, and environmental and climate risks. Besides, to align the financial system and policies with sustainable goals are also crucial for achieving a green transformation. Sustainability is without doubt a very important area of research, evidenced by its unprecedented growth in the last decade. In the field of academic research, sustainability-themed papers are becoming more and more prominent with rising awareness of challenges such as global climate change and resources shortage. With the development of the economy, the financial system and mechanism are continuously adjusted to mobilize and allocate financial resources reasonably and effectively and improve financial efficiency, so as to realize the effective operation and steady development of the economy and finance in the long run. The quantitative research of green finance can greatly promote the sustainable development of domestic and global economy and finance. The UNEP Inquiry (2015) identified five areas of emerging practice in embedding sustainable development into the financial system which are all worth studying in the near future: (ⅰ) enhancing market practice: Disclosure, analysis, risk management; (ⅱ) upgrading governance architectures: Internalizing sustainable development into financial decision-making of financial regulators and central bank; (ⅲ) encouraging cultural transformation: capacity building, behaviour, market structure; (ⅳ) harnessing the public balance sheets: Fiscal incentives, public financial institutions and central banks; (ⅴ) directing finance through policy: Requirements and prohibitions, enhanced liability.
Secondly, the GF tries to carry out a mission to identify, explore and promote the development and adoption of best environment-friendly and sustainable products and services at all levels of financial institution operations. Specifically, GF places unique emphasis on channeling finance to activities that promote energy efficiency. Nowadays, there are many energy efficiency financing opportunities in markets worth the attention of not only clients and institutions but also the researchers. A large number of studies focus on issues such as the relationship between energy price shocks and financial markets, financing and investment decisions made by energy firms, and carbon finance. These studies can be generalized into a common research theme—energy finance, which is also a subject of interest of this journal. The GF determines to publish innovative articles on the following five broad themes based on a brief review of the energy finance relevant literature: (ⅰ) Energy and financial markets; (ⅱ) Energy corporate finance; (ⅲ) Energy products pricing mechanism; (ⅳ) Energy derivative markets; (ⅴ) Energy risk management.
Thirdly, the GF also feels responsible to promote R & D and innovation finance. Nowadays, investments in R & D and innovation are at the heart of enterprises' competitiveness and on the top of countries' development strategies, so it is crucial and urgent to have a better understanding of the current and emerging drivers and barriers for R & D and innovation financing. Research on finance and R & D innovation has grown enormously in recent decades, producing a great number of results, and shedding new lights on many unresolved issues as well. It is well known that financial constraints and information asymmetries are important obstacles to R & D and innovation, but the great heterogeneity of companies calls for much more systematic and comprehensive empirical evidence based on proper indicators. The related issue of the gap between the external and internal costs of R & D investments also requires further research. What's more, the following topics are also in need of closer look and additional insights. (ⅰ) The dynamic relationship between financial behavior and enterprises' R & D innovation; (ⅱ) The magnitude and relative importance of the various external barriers to innovative activities; (ⅲ) Measurement of the squeezing effect of enterprise R & D innovation financing; (ⅳ) Accurately designed direct and indirect policy measures to ease access to investment in R & D innovation; (ⅴ) Comparative analyses on more countries or clusters of homogenous regions on R & D financing related issues.
The editors of GF hope that the journal will be educational, provocative and practically useful to all sustainable research professionals and institutions. The editorial team and AIMS press are determined to see the journal become a leading platform for the exchange of scientific communication in sustainability, green economics and finance, and related areas. With an outstanding Editorial Board, we are determined to make the journal among the best in the field. We look forward to receiving your submissions, general feedback as to how the journal is progressing and suggestions for how it can be improved.
We, on behalf of the Editorial Board, extend an invitation to sustainable research professionals for contributions and continued patronage to the journal of Green Finance.
[1] | M. Goodenberger and R. Jenkins, Genetics of adult glioma, Cancer Genet., 205 (2012), 613–621. |
[2] | H. Ohgaki and P. Kleihues, The definition of primary and secondary glioblastoma, Clin. Cancer Res., pages clincanres–3002, 2012. |
[3] | D. Orringer, D. Lau, S. Khatri, et al., Extent of resection in patients with glioblastoma: limiting factors, perception of resectability, and effect on survival, J. Neurosurg., 117 (2012), 851–859. |
[4] | B. Mukherjee, B. McEllin, C. V. Camacho, et al., Egfrviii and dna double-strand break repair: a molecular mechanism for radioresistance in glioblastoma. Cancer Res., 69 (2009), 4252–4259. |
[5] | S. Carlsson, S. Brothers and C. Wahlestedt. Emerging treatment strategies for glioblastoma multiforme. EMBO Mol. Med., e201302627, 2014. |
[6] | M. C. Mabray, R. F. Barajas and S. Cha, Modern brain tumor imaging, Brain Tumor Res. Treat., 3 (2015), 8–23. |
[7] | J. Folkman and M. Hochberg, Self-regulation of growth in three dimensions, J. Exp. Med., 138 (1973), 745–753. |
[8] | R. M. Sutherland, Cell and environment interactions in tumor microregions: the multicell spheroid model, Science, 240 (1988), 177–184. |
[9] | R. M. Sutherland, J. A. McCredie and W. R. Inch, Growth of multicell spheroids in tissue culture as a model of nodular carcinomas, J. Natl. Cancer Inst., 46 (1971), 113–120. |
[10] | G. Helmlinger, P. Netti, H. Lichtenbeld, et al., Solid stress inhibits the growth of multicellular tumor spheroids, Nature Biotech., 15 (1997), 778. |
[11] | G. Cheng, J. Tse, R. Jain, et al., Micro-environmental mechanical stress controls tumor spheroid size and morphology by suppressing proliferation and inducing apoptosis in cancer cells, PLoS One, 4 (2009), e4632. |
[12] | F. Montel, M. Delarue, J. Elgeti, et al., Stress clamp experiments on multicellular tumor spheroids. Phys. Rev. Lett., 107 (2011), 188102. |
[13] | F. Montel, M. Delarue, J. Elgeti, et al., Isotropic stress reduces cell proliferation in tumor spheroids. New J. Phys., 14 (2012), 055008. |
[14] | P. Mascheroni, C. Stigliano, M. Carfagna, et al., Predicting the growth of glioblastoma multiforme spheroids using a multiphase porous media model, Biomech. Model. Mechanobiol., 15 (2016), 1215–1228. |
[15] | B. Bober, J. Love, S. Horton, et al., Actin–myosin network influences morphological response of neuronal cells to altered osmolarity. Cytoskeleton, 72 (2015), 193–206. |
[16] | F. Guilak, G. Erickson and H. Ting-Beall, The effects of osmotic stress on the viscoelastic and physical properties of articular chondrocytes, Biophys. J., 82 (2002), 720–727. |
[17] | C. La Porta, A. Ghilardi, M. Pasini, et al., Osmotic stress affects functional properties of human melanoma cell lines, Eur. Phys. J. Plus, 130 (2015), 64. |
[18] | A. Taloni, A. A. Alemi, E. Ciusani, et al., Mechanical properties of growing melanocytic nevi and the progression to melanoma. PloS One, 9 (2014), e94229. |
[19] | G. Tao, L. Rott, A. Lowe, et al., Hyposmotic stress induces cell growth arrest via proteasome activation and cyclin/cyclin-dependent kinase degradation, J. Biol. Chem., 277 (2002), 19295– 19303. |
[20] | M. Delarue, F. Montel, D. Vignjevic, et al., Compressive stress inhibits proliferation in tumor spheroids through a volume limitation, Biophys. J., 107 (2014), 1821–1828. |
[21] | K. Tsujita, T. Takenawa and T. Itoh, Feedback regulation between plasma membrane tension and membrane-bending proteins organizes cell polarity during leading edge formation, Nature Cell Biol., 17 (2015), 749. |
[22] | J. Schindelin, I. Arganda-Carreras, E. Frise, et al., Fiji: an open-source platform for biologicalimage analysis, Nat. Methods, 9 (2012), 676. |
[23] | G. Schmid-Schönbein, K. Sung, H. Tözeren, et al., Passive mechanical properties of human leukocytes, Biophys. J., 36 (1981), 243–256. |
[24] | D. Theret, M. Levesque, M. Sato, et al., The application of a homogeneous half-space model in the analysis of endothelial cell micropipette measurements, J. Biomechan. Eng., 110 (1988), 190–199. |
[25] | R. W. Ogden, Non-linear elastic deformations. Courier Corporation, 1997. |
[26] | T. C. Gasser, R. W. Ogden and G. A. Holzapfel, Hyperelastic modelling of arterial layers with distributed collagen fibre orientations, J. R. Soc. Interface, 3 (2005), 15–35. |
[27] | A. Agosti, D. Ambrosi and S. Turzi, Strain energy storage and dissipation rate in active cell mechanics, Phys. Rev. E, 97 (2018), 052410. |
[28] | R. Rivlin and J. Ericksen, Stress-deformation relations for isotropic materials, Arch. Ration. Mech. Anal., 4 (1955), 323–425. |
[29] | A. Spencer, Part iii. theory of invariants, Continuum Physics, 1 (1971), 239–353. |
[30] | D. Ambrosi, S. Pezzuto, D. Riccobelli, et al., Solid tumors are poroelastic solids with a chemomechanical feedback on growth, J. Elasticity, 129 (2017), 107–124. |
[31] | A. V. Melnik, X. Luo and R. W. Ogden, A generalised structure tensor model for the mixed invariant i8, Int. J. Non-Lin. Mech., 107 (2018), 137–148. |
[32] | C. Lim, E. Zhou and S. Quek, Mechanical models for living cells-a review, J. Biomech., 39 (2006), 195–216. |
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