Добавил:
kiopkiopkiop18@yandex.ru t.me/Prokururor I Вовсе не секретарь, но почту проверяю Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз: Предмет: Файл:

Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_998_Библиотеки_им_академика_М_И_Перельмана

.pdf
Скачиваний:
0
Добавлен:
31.08.2026
Размер:
26 Мб
Скачать
19 Iron Chelators & HIF-1α: ANew Frontier forSkin Rejuvenation
https://t.me/medicina_free
207
12. Uitto J, Bernstein EF.Molecular mechanisms of cuta­neous aging: connective tissue alterations in the der­mis. J Invest Dermatol Symp Proc. 1998;3(1):41–4. Elsevier
13. Kosmadaki M, Gilchrest B.The role of telomeres in skin aging/photoaging. Micron. 2004;35(3):155–9.
14. Masaki H.Role of antioxidants in the skin: anti-aging effects. J Dermatol Sci. 2010;58(2):85–90.
15. Bickers DR, Athar M. Oxidative stress in the pathogenesis of skin disease. J Investig Dermatol. 2006;126(12):2565–75.
16. Benetos A, Okuda K, Lajemi M, Kimura M, Thomas F, Skurnick J, etal. Telomere length as an indicator of biological aging. Hypertension. 2001;37(2):381–5.
17. Levy MZ, Allsopp RC, Futcher AB, Greider CW, Harley CB. Telomere end-replication problem and cell aging. J Mol Biol. 1992;225(4):951–60.
18. Boccardi V, Paolisso G, Mecocci P. Nutrition and lifestyle in healthy aging: the telomerase challenge. Aging (Albany NY). 2016;8(1):12.
19. Fisher GJ, Kang S, Varani J, Bata-Csorgo Z, Wan Y, Datta S, et al. Mechanisms of photoag­ing and chronological skin aging. Arch Dermatol. 2002;138(11):1462–70.
20. Jackson SP, Bartek J. The DNA-damage response in human biology and disease. Nature. 2009;461(7267):1071–8.
21. Quan T, Shao Y, He T, Voorhees JJ, Fisher GJ.Reduced expression of connective tissue growth factor (CTGF/CCN2) mediates collagen loss in chronologically aged human skin. J Invest Dermatol. 2010;130(2):415–24.
22. Quan T, Fisher GJ.Role of age-associated alterations of the dermal extracellular matrix microenvironment in human skin aging: a mini-review. Gerontology. 2015;61(5):427–34.
23. Heng JK, Aw DC, Tan KB.Solar elastosis in its papu­lar form: uncommon, mistakable. Case Rep Dermatol. 2014;6(1):124–8.
24. Rando TA. Stem cells, ageing and the quest for immortality. Nature. 2006;441(7097):1080–6.
25. Fujiwara T, Dohi T, Maan ZN, Rustad KC, Kwon SH, Padmanabhan J, et al. Age-associated intracellular superoxide dismutase deciency potentiates dermal broblast dysfunction during wound healing. Exp Dermatol. 2019;28(4):485–92.
26. Fujiwara T, Duscher D, Rustad KC, Kosaraju R, Rodrigues M, Whittam AJ, et al. Extracellular superoxide dismutase deciency impairs wound healing in advanced age by reducing neovascu­larization and broblast function. Exp Dermatol. 2016;25(3):206–11.
27. Kaisers W, Boukamp P, Stark H-J, Schwender H, Tigges J, Krutmann J, et al. Age, gender and UV-exposition related effects on gene expression in in vivo aged short term cultivated human dermal broblasts. PLoS One. 2017;12(5):e0175657.
28. Rinkevich Y, Walmsley GG, Hu MS, Maan ZN, Newman AM, Drukker M, et al. Skin brosis. Identication and isolation of a dermal lineage with
intrinsic brogenic potential. Science (New York, NY). 2015;348(6232):aaa2151.
29. Huertas ACM, Schmelzer CE, Hoehenwarter W, Heyroth F, Heinz A. Molecular-level insights into aging processes of skin elastin. Biochimie. 2016;128:163–73.
30. Qin Z, Balimunkwe R, Quan T.Age-related reduction of dermal broblast size up-regulates multiple matrix metalloproteinases as observed in aged human skin invivo. Br J Dermatol. 2017;177(5):1337–48.
31. Freitas-Rodríguez S, Folgueras AR, López-Otín C. The role of matrix metalloproteinases in aging: tissue remodeling and beyond. Amsterdam: Elsevier;
2017.
32. Rezvani HR, Ali N, Nissen LJ, Harfouche G, De Verneuil H, Taïeb A, et al. HIF-1α in epidermis: oxygen sensing, cutaneous angiogenesis, cancer, and non-cancer disorders. J Investig Dermatol. 2011;131(9):1793–805.
33. Gosain A, DiPietro LA.Aging and wound healing. World J Surg. 2004;28(3):321–6.
34. Chang EI, Loh SA, Ceradini DJ, Chang EI, Lin SE, Bastidas N, etal. Age decreases endothelial progeni­tor cell recruitment through decreases in hypoxia­inducible factor 1alpha stabilization during ischemia. Circulation. 2007;116(24):2818–29.
35. Duscher D, Januszyk M, Maan ZN, Whittam AJ, Hu MS, Walmsley GG, et al. Comparison of the iron chelator deferoxamine and the hydroxylase inhibitor DMOG in aged and diabetic wound healing. Plast Reconstr Surg. 2015;116:2818–29.
36. Duscher D, Neofytou E, Wong VW, Maan ZN, Rennert RC, Inayathullah M, etal. Transdermal def­eroxamine prevents pressure-induced diabetic ulcers. Proc Natl Acad Sci U S A. 2015;112(1):94–9.
37. Rezvani HR, Ali N, Nissen LJ, Harfouche G, de Verneuil H, Taieb A, et al. HIF-1alpha in epider­mis: oxygen sensing, cutaneous angiogenesis, can­cer, and non-cancer disorders. J Invest Dermatol. 2011;131(9):1793–805.
38. Rezvani HR, Ali N, Serrano-Sanchez M, Dubus P, Varon C, Ged C, et al. Loss of epidermal hypoxia­inducible factor-1alpha accelerates epidermal aging and affects re-epithelialization in human and mouse. J Cell Sci. 2011;124(Pt 24):4172–83.
39. Loh SA, Chang EI, Galvez MG, Thangarajah H, El-ftesi S, Vial IN, etal. SDF-1 alpha expression dur­ing wound healing in the aged is HIF dependent. Plast Reconstr Surg. 2009;123(2 Suppl):65S–75S.
40. Gould L, Abadir P, Brem H, Carter M, Conner-Kerr T, Davidson J, etal. Chronic wound repair and healing in older adults: current status and future research. J Am Geriatr Soc. 2015;63(3):427–38.
41. Ceradini DJ, Kulkarni AR, Callaghan MJ, Tepper OM, Bastidas N, Kleinman ME, et al. Progenitor cell trafcking is regulated by hypoxic gradi­ents through HIF-1 induction of SDF-1. Nat Med. 2004;10(8):858–64.
42. Sarkar K, Fox-Talbot K, Steenbergen C, Bosch-Marce M, Semenza GL.Adenoviral transfer of HIF-1alpha
208
https://t.me/medicina_free
A. Pagani et al.
enhances vascular responses to critical limb isch­emia in diabetic mice. Proc Natl Acad Sci U S A. 2009;106(44):18769–74.
43. Walmsley GG, Maan ZN, Wong VW, Duscher D, Hu MS, Zielins ER, et al. Scarless wound heal­ing: chasing the holy grail. Plast Reconstr Surg. 2015;135(3):907–17.
44. Duscher D, Maan ZN, Whittam AJ, Sorkin M, Hu MS, Walmsley GG, et al. Fibroblast-specic dele­tion of hypoxia inducible factor-1 critically impairs murine cutaneous neovascularization and wound healing. Plast Reconstr Surg. 2015;136(5):1004–13.
45. Hong WX, Hu MS, Esquivel M, Liang GY, Rennert RC, McArdle A, et al. The role of hypoxia­inducible factor in wound healing. Adv Wound Care. 2014;3(5):390–9.
46. Paik KJ, Maan ZN, Zielins ER, Duscher D, Whittam AJ, Morrison SD, etal. Short hairpin RNA silencing of PHD-2 improves neovascularization and functional outcomes in diabetic wounds and ischemic limbs. PLoS One. 2016;11(3):e0150927.
47. Maxwell PH, Wiesener MS, Chang G-W, Clifford SC, Vaux EC, Cockman ME, et al. The tumour sup­pressor protein VHL targets hypoxia-inducible fac­tors for oxygen-dependent proteolysis. Nature. 1999;399(6733):271–5.
48. Yu F, White SB, Zhao Q, Lee FS. Dynamic, site­specic interaction of hypoxia-inducible factor-1α with the von Hippel-Lindau tumor suppressor protein. Cancer Res. 2001;61(10):4136–42.
49. Masson N, Willam C, Maxwell PH, Pugh CW, Ratcliffe PJ. Independent function of two destruc­tion domains in hypoxia-inducible factor-α chains activated by prolyl hydroxylation. EMBO J. 2001;20(18):5197–206.
50. Bruick RK, McKnight SL. A conserved family of prolyl-4-hydroxylases that modify HIF. Science. 2001;294(5545):1337–40.
51. Ebert BL, Bunn HF. Regulation of transcription by hypoxia requires a multiprotein complex that includes hypoxia-inducible factor 1, an adjacent transcription factor, and p300/CREB binding protein. Mol Cell Biol. 1998;18(7):4089–96.
52. Mahon PC, Hirota K, Semenza GL. FIH-1: a novel protein that interacts with HIF-1α and VHL to medi­ate repression of HIF-1 transcriptional activity. Genes Dev. 2001;15(20):2675–86.
53. Lando D, Peet DJ, Whelan DA, Gorman JJ, Whitelaw ML. Asparagine hydroxylation of the HIF trans­activation domain: a hypoxic switch. Science. 2002;295(5556):858–61.
54. Bedogni B, Welford SM, Cassarino DS, Nickoloff BJ, Giaccia AJ, Powell MB. The hypoxic micro­environment of the skin contributes to Akt­mediated melanocyte transformation. Cancer Cell. 2005;8(6):443–54.
55. Rosenberger C, Solovan C, Rosenberger AD, Jinping L, Treudler R, Frei U, etal. Upregulation of hypoxia­inducible factors in normal and psoriatic skin. J Invest Dermatol. 2007;127(10):2445–52.
56. Distler O, Distler JH, Scheid A, Acker T, Hirth A, Rethage J, etal. Uncontrolled expression of vascular endothelial growth factor and its receptors leads to insufcient skin angiogenesis in patients with sys­temic sclerosis. Circ Res. 2004;95(1):109–16.
57. Liu L, Marti GP, Wei X, Zhang X, Zhang H, Liu YV, et al. Age-dependent impairment of HIF­1alpha expression in diabetic mice: Correction with electroporation­wound healing, angiogenesis, and circulating angio­genic cells. J Cell Physiol. 2008;217(2):319–27.
58. Cho YS, Bae JM, Chun YS, Chung JH, Jeon YK, Kim IS, et al. HIF-1alpha controls keratinocyte prolif­eration by up-regulating p21(WAF1/Cip1). Biochim Biophys Acta. 2008;1783(2):323–33.
59. Michaylira CZ, Nakagawa H.Hypoxic microenviron­ment as a cradle for melanoma development and pro­gression. Cancer Biol Ther. 2006;5(5):476–9.
60. Semenza GL. Regulation of oxygen homeosta­sis by hypoxia-inducible factor 1. Physiology. 2009;24(2):97–106.
61. Biswas S, Roy S, Banerjee J, Hussain SR, Khanna S, Meenakshisundaram G, et al. Hypoxia induc­ible microRNA 210 attenuates keratinocyte pro­liferation and impairs closure in a murine model of ischemic wounds. Proc Natl Acad Sci U S A. 2010;107(15):6976–81.
62. Elson DA, Ryan HE, Snow JW, Johnson R, Arbeit JM. Coordinate up-regulation of hypoxia inducible factor (HIF)-1alpha and HIF-1 target genes during multi-stage epidermal carcinogenesis and wound healing. Cancer Res. 2000;60(21):6189–95.
63. Semenza GL. Hypoxia-inducible factors: mediators of cancer progression and targets for cancer therapy. Trends Pharmacol Sci. 2012;33(4):207–14.
64. Elson DA, Thurston G, Huang LE, Ginzinger DG, McDonald DM, Johnson RS, et al. Induction of hypervascularity without leakage or inammation in transgenic mice overexpressing hypoxia-inducible factor-1alpha. Genes Dev. 2001;15(19):2520–32.
65. Kim KS, Rajagopal V, Gonsalves C, Johnson C, Kalra VK.A novel role of hypoxia-inducible factor in cobalt chloride- and hypoxia-mediated expression of IL-8 chemokine in human endothelial cells. J Immunol. 2006;177(10):7211–24.
66. Fitsialos G, Bourget I, Augier S, Ginouves A, Rezzonico R, Odorisio T, etal. HIF1 transcription fac­tor regulates laminin-332 expression and keratinocyte migration. J Cell Sci. 2008;121(Pt 18):2992–3001.
67. Ryan MC, Christiano AM, Engvall E, Wewer UM, Miner JH, Sanes JR, et al. The functions of lami­nins: lessons from in vivo studies. Matrix Biol. 1996;15(6):369–81.
68. Watt FM. Role of integrins in regulating epider­mal adhesion, growth and differentiation. EMBO J. 2002;21(15):3919–26.
69. Rezvani HR, Dedieu S, North S, Belloc F, Rossignol R, Letellier T, etal. Hypoxia-inducible factor-1alpha, a key factor in the keratinocyte response to UVB exposure. J Biol Chem. 2007;282(22):16413–22.
facilitated gene therapy increases
19 Iron Chelators & HIF-1α: ANew Frontier forSkin Rejuvenation
https://t.me/medicina_free
209
70. Duscher D, Januszyk M, Maan ZN, Whittam AJ, Hu MS, Walmsley GG, et al. Comparison of the hydroxylase inhibitor dimethyloxalylglycine and the iron chelator deferoxamine in diabetic and aged wound healing. Plastic Reconstr Surg. 2017;139(3):695e–706e.
71. Pagani A, Aitzetmüller MM, Brett EA, König V, Wenny R, Thor D, etal. Skin Rejuvenation through HIF-1alpha modulation. Plast Reconstr Surg. 2018;141(4):600e–7e.
72. Schoeld CJ, Ratcliffe PJ. Oxygen sensing by HIF hydroxylases. Nat Rev Mol Cell Biol. 2004;5(5):343–54.
73. Peet D, Linke S. Regulation of HIF: asparaginyl hydroxylation. Novartis Found Symp. 2006;272:37–
49. discussion -53, 131–40
74. Kuo KH, Mrkobrada M. A systematic review and meta-analysis of deferiprone monotherapy and in combination with deferoxamine for reduction of iron overload in chronically transfused patients with beta­thalassemia. Hemoglobin. 2014;38(6):409–21.
75. Moayedi Esfahani BA, Reisi N, Mirmoghtadaei M. Evaluating the safety and efcacy of silymarin in beta-thalassemia patients: a review. Hemoglobin. 2015;39(2):75–80.
76. Ram M, Singh V, Kumawat S, Kumar D, Lingaraju MC, Uttam Singh T, etal. Deferoxamine modulates cytokines and growth factors to accelerate cutane­ous wound healing in diabetic rats. Eur J Pharmacol. 2015;764:9–21.
77. Temiz G, Sirinoglu H, Yesiloglu N, Filinte D, Kacmaz C.Effects of deferoxamine on fat graft survival. Facial Plastic Surg. 2016;32(4):438–43.
78. Wang GL, Semenza GL. Desferrioxamine induces erythropoietin gene expression and hypoxia­factor 1 DNA-binding activity: implications for models of hypoxia signal transduction. Blood. 1993;82(12):3610–5.
79. Origa R, Bina P, Agus A, Crobu G, Defraia E, Dessì C, etal. Combined therapy with deferiprone and des­ferrioxamine in thalassemia major. Haematologica. 2005;90(10):1309–14.
inducible
Part IV
https://t.me/medicina_free
Translational Aspects
How toOvercome theValley
https://t.me/medicina_free
ofDeath fromBasic Science toClinical Trials
KellyBridgham, AkashChandawarkar, HalleyDarrach, andJustinM.Sacks
20
20.1 Introduction
Biomedical research has led to an explosion of knowledge about the mechanisms underlying many diseases and physiological processes, yet fewer than 5% of all life science discoveries lead to change in clinical practice [1], and those that do may take up to 10–25years before they are implemented in the clinical environment [2]. Similarly, scientic breakthroughs in the eld of regenerative medicine are abundant, yet their clinical applications are scarce [3] . The inability of novel scientic discoveries and technologies to reach clinical application led to the birth of translational medicine, a discipline which bridges the gap between the basic scientist and clinician, facilitating innovation from the bedside-to bench­and back [3, 4]. This bridge is not easy to navi­gate, as it requires the expertise of the scientist, clinician, university technology transfer ofce, and an interested entrepreneur.
In the United States, the National Institutes of Health (NIH) has led the translational science effort with the development of the National Center for Advancing Translational Sciences
K. Bridgham · A. Chandawarkar · H. Darrach J. M. Sacks (*) Department of Plastic and Reconstructive Surgery, Johns Hopkins School of Medicine, Baltimore, MD, USA e-mail: kbridgh1@jhmi.edu; akash@jhmi.edu;
halley@jhmi.edu; jmsacks@jhmi.edu
(NCATs) [1]. NCATs provides support for trans­lational research programs at academic medical institutions throughout the United States, and similar efforts have been made throughout Canada, the United Kingdom, and Europe [1, 3,
4]. Such programs are poised to streamline the
translational process and bring an abundance of novel scientic discoveries to the forefront of clinical practice. However, each critical step of the translational process faces a unique set of bar­riers that hinders the transfer of academic knowl­edge to the clinic. This gap lies at the interface of academia and industry. This divide can gura­tively and literally be separated by time and space. It requires at some point for these two unique entities, academia and industry, to inter­face into a mutually benecial arrangement both regarding technology transfer, consisting of intel­lectual property and capital (money) infusions.
The rst translational gap, coined the ‘valley of death,’ spans the period between preclinical stud­ies and clinical trials. Innovations that fail in this phase of the process may be promising in invitro and invivo animal models but cannot obtain the resources to progress through Phase I and Phase II Food and Drug Administration (FDA) clinical tri­als. With adequate resources, technologies that successfully prove their safety and efcacy in early clinical trials may overcome the ‘valley of death’ and transfer to entrepreneurial opportuni­ties with family and friend cash infusions during Seed rounds and Series A, B, C capital raises.
© Springer Nature Switzerland AG 2019 D. Duscher, M. A. Shiffman (eds.), Regenerative Medicine and Plastic Surgery,
https://doi.org/10.1007/978-3-030-19958-6_20
213
214
https://t.me/medicina_free
K. Bridgham et al.
However, inventions in this phase are plagued by yet another set of hurdles before commercializa­tion into routine clinical practice [3].
Research universities worldwide have devel­oped technology transfer ofces to facilitate prod­uct commercialization [5]. These ofces are created to protect the intellectual property created by employees of the university. Through common disclosure pathways and provisional patent appli­cations, the university tech transfer ofce looks to place a fence around the idea, product, application, etc. that the individual or individuals comes or come up with. Without the protection of this intel­lectual property, maximal value creation cannot be realized if anyone else can duplicate a similar idea. Despite such efforts, however, many university inventions fail to commercialize and achieve their desired clinical impact. Additionally, academic researchers are encouraged to publish and present new ndings without knowing that is a form of public disclosure, thereby precluding patentability. Increasing evidence shows that startup companies based on university inventions can act as the bridge between academia and industry, allowing the translation of scientic ideas into clinical applica­tions [6]. While seemingly a daunting task, with appropriate planning, collaboration, resources, and institutional support, the translational scientist can successfully bring their ideas from their minds to the bench, and nally, to the bedside.
Every successful innovation begins with an idea. However, translating breakthroughs in sci­entic research into new clinical treatments and therapies is no easy task. There are known risks associated with every aspect of this process. Before embarking on this journey, it is important to assess such risks and decide whether the prod­uct is appropriate for the development of a bio­technology startup.
There are multiple key issues to address, beginning with the idea itself. Is the innovation truly novel, and would it signicantly advance its respective eld? The product must not only meet an unmet clinical need, but it must do so in a manner that is better than any existing prod­ucts and competitors. If the product does in fact meet an unmet need, one must assess the market
that the product would be entering. Industry is the barrier that stands between the bench and the bedside, and each market has its own inher­ent risks. Will the potential benets of your product outweigh the risks of entering the mar­ket? A key factor to consider is the size of the market. The market must be large enough to provide a substantial nancial return for poten­tial investors, yet it must not be overowing with alternative products or competitors. Furthermore, one must evaluate what it will take in terms of nancial investment and develop­ment time to succeed in the target market. Can the product enter the market in a reasonable amount of time? How much will it cost to get there? Finally, it is necessary to consider the regulatory hurdles that your product will face before commercialization. What FDA pathway will the product take? For instance, the FDA will accept premarket submissions (510 K) to demonstrate that a device to be marketed is at least as safe and effective or equivalent to a legally marketed device. This would make the device not subject to premarket approval (PMA) by the FDA.If a device requires a PMA by the FDA, then clinical trials of Phase 1, 2, and 3 need to be organized and planned for. The PMA will require signicantly different types of capi­tal requirements and business and organiza­tional structures than a 510K device. What are the clinical trial requirements based on the FDA pathway? It is essential to assess each of these issues individually before entering the transla­tional pathway to avoid wasted time and money. Once the decision is made to proceed forward with the translational process, the path from the bench to the bedside can begin [7].
20.2 The Unmet Clinical Need
A well-characterized need is the DNA of a good invention [8]. Identifying a clinical need that is a “pain point” for patients, providers, or the healthcare system facilitates the development of technologies to maximize success. These high-value needs spawn ideas that investors
20 How toOvercome theValley ofDeath fromBasic Science toClinical Trials
https://t.me/medicina_free
215
will care to fund and health care systems will adopt. Even the best innovations that only address a weak clinical need will often lead to eventual failure. Objective assessment of needs that are worth pursuing solutions should be per­formed before generation of ideas. One must rst understand disease mechanisms and funda­mentals that underlie the need in question. An evaluation of the competitive landscape and current solutions that exist enable identication of gaps and trends and whether there is suf­cient space for new treatments. Treatment path­ways and workows can show the innovator where additional opportunities exist, as well as value-based problems such as phases of care (home, outpatient, inpatient, operating room). A stakeholder analysis around the need can help identify champions and roadblocks to future solutions. Most importantly, an exhaus­tive market analysis, including size and growth of those affected by the need further helps vali­date the decision to invest effort in the area of interest. The market can be segmented into total available markets, serviceable available market, and target markets. Large growing markets are attractive to investors and solutions organically are able to gain traction.
20.3 Ideation
Once an unmet need has been selected, ideation can begin. This step often results in only incre­mental changes to existing solutions when con­strained and inuenced by traditional thought or clinician-driven ideas of what will or will not work. Truly disruptive ideas enjoy unconstrained brainstorming using design-thinking principles. Out-of-the-box ideas should be encouraged, and inspiration should be sought from other elds or even outside of medicine. After exhaustive ide­ation, idea selection should assess feasibility and the height of the hurdles of intellectual property, regulation, and reimbursement that may derail that particular concept. Early low-delity proto­typing can be immensely useful during both con­cept generation and selection.
20.4 Intellectual Property
A crucial rst step in the path to commercializa­tion is to protect innovations via obtainment of intellectual property (IP). In an academic set­ting, this process begins with invention disclo­sure to the university technology transfer ofce (TTOs). Since the passing of the Bayh-Dole Act of 1980, the United States requires that all fed­erally funded academic researchers disclose their inventions to their university. The univer­sity will then own and be responsible for pro­tecting the product’s intellectual property. Following disclosure, TTOs will subsequently work to protect IP through patents and univer­sity licensing to allow for future commercializa­tion [5, 9].
Although often overlooked by academic sci­entists, it is crucial to work with the university’s TTO to le a patent and protect your invention from competitors. Potential investors are hesi­tant to nance non-patented products. Consequently, many non-patented inventions fail to ever make it out of the laboratory. For an invention to be patentable, it must be useful, novel, and non- obvious. Early preclinical data must help show that the invention can function as described. Furthermore, the invention must not overlap prior art; that is, competitors must not previously describe it. Lastly, the invention cannot be an obvious variation or extension of a previously existing patented invention. If an invention is deemed patentable, the university TTO may le a provisional patent that is valid for one year; within one year, a standard patent application must be led. While academics may face pressure to publish their data quickly, it is imperative not to publicly disclose any aspect of your invention in abstracts, presentations, or publications until a provisional patent has been led [9]. Finally, it is essential that you have freedom to operate; that is, the commercializa­tion of the company’s product must not infringe on other existing patents. For example, if one was to have a patent on television and another on color-televisions, it would be to the inventor and the patent ofce on each individual’s patent
216
https://t.me/medicina_free
K. Bridgham et al.
to have freedom to operate within the connes of each other’s IP.Working with the university to develop a clear, cohesive patent strategy will ensure protection of intellectual property and allow for successful technology transfer from academia to industry.
20.5 Regulatory
Regulatory approval is a major milestone for a novel drug, device, or combination device towards commercialization and clinical impact. In the United States, the regulatory process is overseen by the Food and Drug Administration (FDA). Medical devices are classied as class I, II, or III, in order of increasing risk and there­fore requirements. Most Class I (low/minimal risk) devices obtain exempt status and only have registration and labeling requirements. Most Class II devices require 510(k) clearance, which requires identication of a predicate device and proof that the proposed device is safe, effective, and has substantial equivalence to the predicate device. Class III devices usu­ally require a Premarket Approval (PMA) path­way to FDA approval. PMA devices generally pose the greatest risk or do not have a predicate device, and therefore require the most data to prove safety and efcacy. A newer pathway, de novo 510(k), provides potentially less stringent requirements for novel devices with no predi­cate that are not deemed to be of signicant risk to the patient [10]. Consultation with an experi­enced regulatory consultant in the specialty the device is intended is recommended to develop appropriate regulatory strategy. For example, although pursuing the PMA pathway requires more time and money for the required submis­sion, approval via this route provides strong defensive strategy against competitor devices. Engaging the FDA through pre- submission meetings generally is useful to help a new com­pany nd out what type of studies would be required to prove safety and efcacy for the likely regulatory pathway for that device, and helps plan out time and funding requirements to meet this milestone.
20.6 Reimbursement
An understanding of how the device will be reim­bursed is important to assess early in technology development. The Centers for Medicare & Medicaid Services (CMS) generally sets reim­bursement for treatment of patients and proce­dures via codes. Most insurance companies follow CMS reimbursement structures to provide reimbursements to providers and hospitals. An understanding of how the new technology will be reimbursed has signicant impact on stakehold­ers and eventual adoption of the technology by individual providers or hospital value commit­tees. The technology may t into a current reim­bursement code; payment in different settings of care (e.g., outpatient home, inpatient) may differ signicantly and inuence product design. If existing codes are not favorable, company strat­egy may dictate attempting to apply for a new code to be created by CMS. This is another mile­stone that takes time and money to reach over an existing code, but may be worth the effort if it provides strategic improvement in reimburse­ment for adopters of the technology. For certain markets (such as private pay or direct-to­consumer), this hurdle may not be applicable.
20.7 De-Risking Technology:
FromBasic Research toClinical Trials
Innovations themselves have intrinsic risks. Fortunately, there are a number of steps that aca­demic researchers can take to “de-risk” their technologies early in the translational process to help ensure an efcient and successful pathway from early-stage research to clinical application. In an academic environment, research resources are limited. Thus, it is important to perform vig­orous yet efcient research to substantiate the concept of your invention, and gain the attention of potential investors. A common failure of basic science research is the use of test systems that cannot accurately predict the outcomes of pre­clinical studies, and later, human applications. It is essential to carefully select validated invitro
20 How toOvercome theValley ofDeath fromBasic Science toClinical Trials
https://t.me/medicina_free
217
and invivo models to avoid inefcient resource expenditure early in the translational process. High-quality, repeatable invitro and invivo stud­ies must be performed before progressing to early clinical trials. In the health care industry, data is critical and must prove to both scientic experts and potential investors that the product will suc­ceed beyond the laboratory. Innovations with inadequate basic science evidence are prone to failure later in the translational process after a signicant amount of investment from research­ers and investors alike [11].
After leaving the laboratory, technologies must be further ‘de-risked’ during clinical trials. Careful planning must be performed for each phase of a clinical trial to ensure there are enough resources to progress to each subsequent phase. Clinical trials are typically divided into three phases. Phase I clinical trials often involve a small cohort of healthy volunteers to prove a product’s clinical potential. Phase II studies are used to determine a product’s safety and efcacy in patients to establish ‘proof of concept.’ That is– does the product do what it is intended to do? Strong data collection in early clinical studies is paramount to support further product develop­ment and attract the attention of investors. Phase III clinical trials are typically large, randomized controlled trials. De-risking technology all the way through late stage clinical trials is required for regulatory approval and for future purchase by a large biotech/pharmaceutical/medical device company [9].
20.8 Management Team
One of the most important variables of a new company is the team. In fact, team has been shown to be the most important factor for startup investment selection across all stages, all indus­tries, fund sizes, and locations [12]. Investors want to know that the money they invest will suc­cessfully take the company through the expected milestones. To successfully create a startup on their own, one must identify a clinical need, form an idea, develop a product that addresses the idea, test the product, and commercialize. This requires
great individual and collective effort. The most promising technology may fail to receive funding because of an inadequate management team. A successful team should be composed of experi­enced individuals with complementary knowl­edge and skill sets [6, 7]. While building a team with a strong scientic foundation is important, it is equally important to consider including indi­viduals with previous industry experience with a good track record in execution. Finally, each indi­vidual on the team should be enthusiastic in working towards a common goal or vision of driving the innovation from the bench to the bed­side where it can impact patient care.
20.9 Business Model/ Commercialization
An appropriate business model should be cre­ated early on to understand how and when the technology could generate revenues to self-sus­tain, rather than remaining reliant on external funding. Different business models exist for different industries and device types (e.g., capi­tal equipment, subscription, disposable, razor and blades, etc), and each should be explored to nd the appropriate t. Designing device fea­tures around an understanding of the cost of goods (COGS) allows the company to forecast how to build product at various powers of scale to maximize prots. Lastly, milestones should be set towards strategic exits (acquisition, merger, initial public offering, etc.) where investors will be able to recoup initial invest­ments and multiples over that. These dynamics are dictated by capitalization tables that pro­vide an analysis of company percentages of ownership (shares) by shareholders. Sales and distribution should also be planned to facilitate sales once the device is ready to sell to consum­ers. Acquiring key opinion leaders (KOLs) within the target markets may help boost adop­tion of the new technology into common prac­tice. In the end, usage and adoption by target consumers and hospital value committees will result in the technology reaching patients and the company generating revenue.
218
https://t.me/medicina_free
K. Bridgham et al.
20.10 Funding
Money is an integral component of every suc­cessful biotech startup. Capital raise can be the most difcult part of forming a successful bio­tech company. Companies that fail to commer­cialize their products often do not have enough resources to progress from early clinical trials through the end of phase III clinical trials. A clear nancial plan must be in place to obtain and maintain adequate nancial resources throughout the translational process.
Non-dilutive funding is often a signicant source of funding in the early stages of a biotech startup company. Non-dilutive funding refers to any sources of funds that are provided by an agency without sacricing ownership to the com­pany or intellectual property. Common sources of non-dilutive funds include university grants, gov­ernmental grants, or donations from charitable organizations. In the United States, for example, organizations such as the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Programs of the NIH have an allotted annual budget to support early innovative efforts. Obtaining grants is com­petitive and requires substantial time and effort. However, non-dilutive sources provide a critical source of early resources for research and devel­opment purposes. Early funding is essential to help ‘riskier’ technologies progress from preclin­ical studies to early clinical trials [7, 9].
Once a technology has been substantially de­risked, it may become attractive to potential inves­tors, including angel investors and venture capitalists. Angel investors are high-net-worth indi­viduals (or a group of individuals) that are accred­ited to invest in private companies. Investments typically fall in the range of $10,000-$100,000 from individual angels (angel group pooling may result in larger investment sums). Venture capital­ists, on the other hand, are individuals who invest a large amount of another individual’s or institution’s money in private companies. Venture capitalists tend to be knowledgeable and strategic investors that will ultimately plan to purchase (all or part of) the company, help take it public, and commercial­ize it into routine clinical practice.
Biotech investors are well aware of the risks associated with translational medicine and the ‘valley of death.’ As such, they are highly selec­tive when choosing which companies they will invest in. Investors favor technologies with mini­mal risk and maximal nancial reward. Key com­ponents that investors look for include large market size with minimal competition, techno­logical proof of concept, intellectual property and freedom to operative, and a strong management team with a clear business model [9].
Individuals must also be highly selective when choosing a potential investor. It is essential to select reputable investors that are knowledgeable in the product’s respective market. If chosen wisely, angel investors and/or venture capitalists can be valuable mentors that will help drive the company’s product towards commercialization. In a university setting, the technology transfer ofce can help introduce individuals to the poten­tial investors that are most likely to help their company succeed [9].
Funding cycles are the nancing that keep pre-revenue companies running until exit, gen­erally proceeding in the following order: friends and family, pre-seed, seed, Series A, Series B, Series C, etc. Each round of funding makes the “pie” bigger (increased valuation) but reduces the founder’s ownership, known as dilution. Each subsequent round is less “risky” for the investor and generally require more funding. The amount of raise requested by the early stage company is a combination of burn rate (e.g., employee salaries, equipment, ofce rentals, etc.) and money needed to achieve the next particular milestone (e.g., cost of clinical trials for FDA approval). The shares offered for each round is a function of the amount of the raise and current valuation of the company. There are a variety of nancial models to esti­mate a company’s valuation, most commonly cash-on-cash multiples, internal rate of return, and net present value (Gompers). How many rounds a company raises depend on their par­ticular exit strategy. Some early stage compa­nies are acquired after seed funding. Others go through multiple Series rounds with increas­ingly higher investments (for example, SpaceX