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Analysis of Technology Trends and Technology Covergence for Parkinson's Disease Therapeutics : Based on Global Patent Information

파킨슨병 치료제 연구분야의 기술 동향 분석 및 기술 융합 현황 : 글로벌 특허 정보를 중심으로

  • Lee, Doyeon (Division of Data Analysis, Korea Institute of Science and Technology Information) ;
  • Heo, Yoseob (Division of Data Analysis, Korea Institute of Science and Technology Information) ;
  • Kim, Keunhwan (Division of Data Analysis, Korea Institute of Science and Technology Information)
  • 이도연 (한국과학기술정보연구원 데이터분석본부) ;
  • 허요섭 (한국과학기술정보연구원 데이터분석본부) ;
  • 김근환 (한국과학기술정보연구원 데이터분석본부)
  • Received : 2020.02.14
  • Accepted : 2020.03.20
  • Published : 2020.03.28

Abstract

Parkinson's Disease (PD) is one of the three major old-age onset neurodegenerative diseases, its incidence rate is increasing worldwide as being an aging society. The number of PD patients has increased from 3 million in 1990 to 6.2 million in 2015 and is expected to increase to 12.4 million by 2040. Although many therapeutic candidates have been under development, but not yet been suggested the therapeutics of PD. For analyzing the trends and the status of convergence of technologies in the PD therapeutics, we classified into six sub-categories using global patent information and analyzed the level of technical competitiveness and technology convergence according to year, country, applicant, and technical description. These results can be used as a fundamental understanding for the current technical trend and the status of convergence of PD therapeutics, and establish the direction and strategy of R&D.

파킨슨병 (PD)은 3대 노인성 신경퇴행질환 중 하나로서, 인구 고령화에 따라 전 세계적으로 발병률이 증가하고 있는 질환이다. 파킨슨병 환자의 수는 1990년 3백만 명에서 2015년 620만 명으로 증가했으며 2040년까지 1,240만명으로 증가할 것으로 예측된다. 아직까지 파킨슨병의 근본적인 치료는 정립되지 못하였으나, 화합물, 유전자, 항체, 줄기세포 등 다양한 과학적인 방법을 이용한 치료제 개발이 지속적으로 시도되고 있다. 본 연구에서는 파킨슨병 치료제 연구분야의 최신 기술 동향 및 기술 융합 현황을 파악하기 위해, 글로벌 특허정보를 활용하여 총 6개의 세부기술로 분류하였으며, 연도별, 국가별, 출원인별, 세부기술별 동향, 기술경쟁력 수준, 이종 간 기술 융합 수준을 분석하였다. 본 연구는 파킨슨병 치료제 관련 기술의 현재 기술 수준 및 기술 융합 현황을 파악하고, 향후 파킨슨병 치료제 관련 연구개발 방향성 설정 및 전략 수립을 위한 기초자료로 활용될 수 있을 것이다.

Keywords

References

  1. A. Elkouzi, V. Vedam-Mai, R. S. Eisinger & M. S. Okun. (2019). Emerging therapies in Parkinson disease-repurposed drugs and new approaches. Nature Reviews Neurology, 15, 204-223. https://doi.org/10.1038/s41582-019-0155-7
  2. D. E. Ray & B. R. Bloem. (2018). The Parkinson's Pandemic: A Call to Action. JAMA Neurology, 75(1), 9-10. https://doi.org/10.1001/jamaneurol.2017.3299
  3. O. Tysnes & A. Storstein. (2017). Epidemiology of Parkinson's disease. Journal of Neural Transmission, 124, 901-905. https://doi.org/10.1007/s00702-017-1686-y
  4. D. H. Reddy, S. Misra & B. Medhi. (2014). Advances in Drug Development for Parkinson's Disease: Present Status. Pharmacology, 93, 260-271. https://doi.org/10.1159/000362419
  5. NL. D. Rey et al. (2018). Advances in Parkinson's Disease: 200 Years Later. Front Neuroanat, 12(113), 1-14. doi: 10.3389/fnana.2018.00113. eCollection 2018.
  6. J. J. Lee. (2019). Pharmacological treatment of Parkinson's Disease. J. Kor. Neurol. Assoc., 37(4), 335-344. https://doi.org/10.17340/jkna.2019.4.1
  7. S. Przedborski. (2005). Pathogenesis of nigral cell death in Parkinson's disease. Parkinsonism & Related Disorders, Suppl 1, S3-S7.
  8. P. A. LeWitt. (2008). Levodopa for the Treatment of Parkinson's Disease. N. Engl. J. Med., 359, 2468-2476. https://doi.org/10.1056/NEJMct0800326
  9. A. D. Macleod, C. E. Counsell, N. Ives & R. Stowe. (2005). Monoamine oxidase B inhibitors for early Parkinson's disease. Cochrane Database Syst Rev., 3, CD004898. doi.org/10.1002/14651858.cd004898.pub2
  10. M. Parmar, S. Grealish & C. Henchcliffe. (2020). The future of stem cell therapies for Parkinson disease. Nature Rev. Neuroscience, 21, 103-115. https://doi.org/10.1038/s41583-019-0257-7
  11. R. T. Bartus, M. S. Weinberg & R. J. Samulski. (2014). Parkinson's Disease Gene Therapy: Success by Design Meets Failure by Efficacy. Molecular Therapy, 22(3), 487-497. https://doi.org/10.1038/mt.2013.281
  12. M. Grimaldi, L. Cricelli, M. D. Giovanni & F. Rogo. (2015). The patent portfolio value analysis: A new framework to leverage patent information for strategic technology planning. Technological Forecasting and Social Change, 94, 286-302. https://doi.org/10.1016/j.techfore.2014.10.013
  13. D. Lee, H. Kang, J. Yoon & J. Lee. (2016). Recent Application Technology Trends Analysis of Zinc Sulfide: Based on Patent Information Analysis. Korean J. Mater. Res., 26(2), 1-7. doi: 10.3740/MRSK.2016.26.2.0
  14. C. Kim, D. Lee, S. Bae & J. Oh, (2017). Investigation on the Technology Trend in Balloon Flower by the Patent Analysis. J. Korean Soc. Int. Agric, 29(3), 289-295. https://doi.org/10.12719/KSIA.2017.29.3.289
  15. S. Lee, S. Lee, H. Seol & Y. Park. (2008). Using patent information for designing new product and technology: keyword based technology roadmapping. R&D Management, 38(2), 166-188. doi.org/10.1111/j.1467-9310.2008.00509.x