Literature DB >> 21184850

Developments for a growing Japanese patient population: facilitating new technologies for future health care.

Harubumi Kato1, Toshihide Nishimura, Norihiko Ikeda, Tesshi Yamada, Tadashi Kondo, Nagahiro Saijo, Kazuto Nishio, Junichiro Fujimoto, Masaharu Nomura, Yoshiya Oda, Bertil Lindmark, Jiro Maniwa, Hitoshi Hibino, Michiaki Unno, Toshinori Ito, Yoshiki Sawa, Hiromasa Tojo, Shin Egawa, Goutham Edula, Mary Lopez, Murray Wigmore, Naohiko Inase, Yasuyuki Yoshizawa, Fumio Nomura, György Marko-Varga.   

Abstract

Lung cancer, COPD and cardiovascular diseases are highlighted as some of the most common disease that cause mortality, and for that reason are the most active areas for drug development. This perspective paper overviews the urgent need to develop a health care system for a rapidly growing patient population in Japan, including forthcoming demands on clinical care, expecting outcomes, and economics. There is an increasing requirement to build on the strengths of the current health care system, thereby delivering urgent solutions for the future. There is also a declaration from the Ministry of Health, Labour and Welfare (MHLW), to develop new biomarker diagnostics, which is intended for patient stratification, aiding in diagnostic phenotype selection for responders to drug treatment of Japanese patients. This perspective was written by the panel in order to introduce novel technologies and diagnostic capabilities with successful implementation. The next generation of personalized drugs for targeted and stratified patient treatment will soon be available in major disease areas such as, lifestyle-related cancers, especially lung cancers with the highest mortality including a predisposing disorder chronic obstructive pulmonary disease, cardiovascular disease, and other diseases. Mass spectrometric technologies can provide the "phenotypic fingerprint" required for the concept of Personalized Medicine. Mass spectrometry-driven target biomarker diagnoses in combination with high resolution computed tomography can provide a critical pathway initiative facilitated by a fully integrated e-Health infrastructure system. We strongly recommend integrating validated biomarkers based on clinical proteomics, medical imaging with clinical care supported by e-Health model to support personalized treatment paradigms to reduce mortality and healthcare costs of chronic and co-morbid diseases in the elderly population of Japan.
Copyright © 2011. Published by Elsevier B.V.

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Year:  2010        PMID: 21184850     DOI: 10.1016/j.jprot.2010.12.006

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  5 in total

1.  Linkage of data from diverse data sources (LDS): a data combination model provides clinical data of corresponding specimens in biobanking information system.

Authors:  Okyaz Eminaga; Enver Özgür; Axel Semjonow; Jan Herden; Ilgar Akbarov; Ali Tok; Udo Engelmann; Sebastian Wille
Journal:  J Med Syst       Date:  2013-09-11       Impact factor: 4.460

2.  BioBanking - The Holy Grail of novel drug and diagnostic developments?

Authors:  György Marko-Varga
Journal:  J Clin Bioinforma       Date:  2011-05-13

3.  Selection of disease-specific biomarkers by integrating inflammatory mediators with clinical informatics in AECOPD patients: a preliminary study.

Authors:  Hong Chen; Zhenju Song; Mengjia Qian; Chunxue Bai; Xiangdong Wang
Journal:  J Cell Mol Med       Date:  2012-06       Impact factor: 5.310

4.  Clinical initiatives linking Japanese and Swedish healthcare resources on cancer studies utilizing Biobank Repositories.

Authors:  Toshihide Nishimura; Takeshi Kawamura; Yutaka Sugihara; Yasuhiko Bando; Shigeru Sakamoto; Masaharu Nomura; Norihiko Ikeda; Tatsuo Ohira; Junichiro Fujimoto; Hiromasa Tojo; Takao Hamakubo; Tatsuhiko Kodama; Roland Andersson; Thomas E Fehniger; Harubumi Kato; György Marko-Varga
Journal:  Clin Transl Med       Date:  2014-11-22

5.  Disease-specific dynamic biomarkers selected by integrating inflammatory mediators with clinical informatics in ARDS patients with severe pneumonia.

Authors:  Chengshui Chen; Lin Shi; Yuping Li; Xiangdong Wang; Shuanying Yang
Journal:  Cell Biol Toxicol       Date:  2016-04-19       Impact factor: 6.691

  5 in total

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