4.4 Article

Biomarker definitions and their applications

期刊

EXPERIMENTAL BIOLOGY AND MEDICINE
卷 243, 期 3, 页码 213-221

出版社

SAGE PUBLICATIONS LTD
DOI: 10.1177/1535370217750088

关键词

Biomarkers; cardiovascular; epidemiology; medicine; monitoring; pharmacology; toxicology

资金

  1. Patient-Centered Outcomes Research Institute
  2. National Institutes of Health
  3. US Food and Drug Administration
  4. Amylin
  5. Eli Lilly and Company
  6. Bristol-Myers Squibb
  7. Janssen Research and Development
  8. Merck
  9. Novartis
  10. Amgen
  11. Bayer Healthcare
  12. BMEB Services
  13. Genentech
  14. GlaxoSmithKline
  15. Heart. org - Daiichi Sankyo
  16. Kowa
  17. Les Laboratoires Servier
  18. Medscape/Heart. org, Regado
  19. Roche

向作者/读者索取更多资源

Biomarkers are critical to the rational development of medical therapeutics, but significant confusion persists regarding fundamental definitions and concepts involved in their use in research and clinical practice, particularly in the fields of chronic disease and nutrition. Clarification of the definitions of different biomarkers and a better understanding of their appropriate application could result in substantial benefits. This review examines biomarker definitions recently established by the U.S. Food and Drug Administration and the National Institutes of Health as part of their joint Biomarkers, EndpointS, and other Tools (BEST) resource. These definitions are placed in context of their respective uses in patient care, clinical research, or therapeutic development. We explore the distinctions between biomarkers and clinical outcome assessments and discuss the specific definitions and applications of diagnostic, monitoring, pharmacodynamic/response, predictive, prognostic, safety, and susceptibility/risk biomarkers. We also explore the implications of current biomarker development trends, including complex composite biomarkers and digital biomarkers derived from sensors and mobile technologies. Finally, we discuss the challenges and potential benefits of biomarker-driven predictive toxicology and systems pharmacology, the need to ensure quality and reproducibility of the science underlying biomarker development, and the importance of fostering collaboration across the entire ecosystem of medical product development.

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