Literature DB >> 29405771

Biomarker definitions and their applications.

Robert M Califf1,2,3.   

Abstract

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. Impact statement Biomarkers are critical to the rational development of medical diagnostics and therapeutics, but significant confusion persists regarding fundamental definitions and concepts involved in their use in research and clinical practice. Clarification of the definitions of different biomarker classes and a better understanding of their appropriate application could yield substantial benefits. Biomarker definitions recently established in a joint FDA-NIH resource place different classes of biomarkers in the context of their respective uses in patient care, clinical research, or therapeutic development. Complex composite biomarkers and digital biomarkers derived from sensors and mobile technologies, together with biomarker-driven predictive toxicology and systems pharmacology, are reshaping development of diagnostic and therapeutic technologies. An approach to biomarker development that prioritizes the quality and reproducibility of the science underlying biomarker development and incorporates collaborative regulatory science involving multiple disciplines will lead to rational, evidence-based biomarker development that keeps pace with scientific and clinical need.

Entities:  

Keywords:  Biomarkers; cardiovascular; epidemiology; medicine; monitoring; pharmacology/toxicology

Mesh:

Substances:

Year:  2018        PMID: 29405771      PMCID: PMC5813875          DOI: 10.1177/1535370217750088

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  16 in total

1.  Novel metrics for evaluating improvement in discrimination: net reclassification and integrated discrimination improvement for normal variables and nested models.

Authors:  Michael J Pencina; Ralph B D'Agostino; Olga V Demler
Journal:  Stat Med       Date:  2011-12-07       Impact factor: 2.373

Review 2.  Correlation of the New York Heart Association Classification and the 6-Minute Walk Distance: A Systematic Review.

Authors:  Jonathan Yap; Fang Yi Lim; Fei Gao; Ling Li Teo; Carolyn Su Ping Lam; Khung Keong Yeo
Journal:  Clin Cardiol       Date:  2015-10-07       Impact factor: 2.882

Review 3.  Precision medicine in cardiology.

Authors:  Elliott M Antman; Joseph Loscalzo
Journal:  Nat Rev Cardiol       Date:  2016-06-30       Impact factor: 32.419

4.  Rechanneling the cardiac proarrhythmia safety paradigm: a meeting report from the Cardiac Safety Research Consortium.

Authors:  Philip T Sager; Gary Gintant; J Rick Turner; Syril Pettit; Norman Stockbridge
Journal:  Am Heart J       Date:  2013-12-02       Impact factor: 4.749

5.  Biomarkers and Surrogate Endpoints: Developing Common Terminology and Definitions.

Authors:  Melissa A Robb; Pamela M McInnes; Robert M Califf
Journal:  JAMA       Date:  2016-03-15       Impact factor: 56.272

6.  Surrogate endpoints in clinical trials: definition and operational criteria.

Authors:  R L Prentice
Journal:  Stat Med       Date:  1989-04       Impact factor: 2.373

7.  Use and misuse of the receiver operating characteristic curve in risk prediction.

Authors:  Nancy R Cook
Journal:  Circulation       Date:  2007-02-20       Impact factor: 29.690

8.  Effects of intensive glucose lowering in type 2 diabetes.

Authors:  Hertzel C Gerstein; Michael E Miller; Robert P Byington; David C Goff; J Thomas Bigger; John B Buse; William C Cushman; Saul Genuth; Faramarz Ismail-Beigi; Richard H Grimm; Jeffrey L Probstfield; Denise G Simons-Morton; William T Friedewald
Journal:  N Engl J Med       Date:  2008-06-06       Impact factor: 91.245

9.  Validation of the Instant Blood Pressure Smartphone App.

Authors:  Timothy B Plante; Bruno Urrea; Zane T MacFarlane; Roger S Blumenthal; Edgar R Miller; Lawrence J Appel; Seth S Martin
Journal:  JAMA Intern Med       Date:  2016-05-01       Impact factor: 21.873

10.  2017 Focused Update of the 2016 ACC Expert Consensus Decision Pathway on the Role of Non-Statin Therapies for LDL-Cholesterol Lowering in the Management of Atherosclerotic Cardiovascular Disease Risk: A Report of the American College of Cardiology Task Force on Expert Consensus Decision Pathways.

Authors:  Donald M Lloyd-Jones; Pamela B Morris; Christie M Ballantyne; Kim K Birtcher; David D Daly; Sondra M DePalma; Margo B Minissian; Carl E Orringer; Sidney C Smith
Journal:  J Am Coll Cardiol       Date:  2017-09-05       Impact factor: 24.094

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  133 in total

1.  Cutibacterium acnes: the Urgent Need To Identify Diagnosis Markers.

Authors:  C Mongaret; F Velard; F Reffuveille
Journal:  Infect Immun       Date:  2021-03-17       Impact factor: 3.441

Review 2.  Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice.

Authors:  Guy Fagherazzi; Aurélie Fischer; Muhannad Ismael; Vladimir Despotovic
Journal:  Digit Biomark       Date:  2021-04-16

Review 3.  Digital Medicine: A Primer on Measurement.

Authors:  Andrea Coravos; Jennifer C Goldsack; Daniel R Karlin; Camille Nebeker; Eric Perakslis; Noah Zimmerman; M Kelley Erb
Journal:  Digit Biomark       Date:  2019-05-09

Review 4.  Nanomedicine and Onco-Immunotherapy: From the Bench to Bedside to Biomarkers.

Authors:  Vanessa Acebes-Fernández; Alicia Landeria-Viñuela; Pablo Juanes-Velasco; Angela-Patricia Hernández; Andrea Otazo-Perez; Raúl Manzano-Román; Rafael Gongora; Manuel Fuentes
Journal:  Nanomaterials (Basel)       Date:  2020-06-29       Impact factor: 5.076

Review 5.  A Phenomic Perspective on Factors Influencing Breast Cancer Treatment: Integrating Aging and Lifestyle in Blood and Tissue Biomarker Profiling.

Authors:  Ainhoa Arana Echarri; Mark Beresford; John P Campbell; Robert H Jones; Rachel Butler; Kenneth J Gollob; Patricia C Brum; Dylan Thompson; James E Turner
Journal:  Front Immunol       Date:  2021-02-01       Impact factor: 7.561

Review 6.  Neurofilament Light Chain as a Biomarker, and Correlation with Magnetic Resonance Imaging in Diagnosis of CNS-Related Disorders.

Authors:  Zahra Alirezaei; Mohammad Hossein Pourhanifeh; Sarina Borran; Majid Nejati; Hamed Mirzaei; Michael R Hamblin
Journal:  Mol Neurobiol       Date:  2019-08-05       Impact factor: 5.590

7.  On the time-varying predictive performance of longitudinal biomarkers: Measure and estimation.

Authors:  Jing Zhang; Jing Ning; Xuelin Huang; Ruosha Li
Journal:  Stat Med       Date:  2021-06-22       Impact factor: 2.373

Review 8.  Current Evidence on Potential Uses of MicroRNA Biomarkers for Migraine: From Diagnosis to Treatment.

Authors:  Parisa Gazerani
Journal:  Mol Diagn Ther       Date:  2019-12       Impact factor: 4.074

Review 9.  Biomarkers of conversion to α-synucleinopathy in isolated rapid-eye-movement sleep behaviour disorder.

Authors:  Mitchell G Miglis; Charles H Adler; Elena Antelmi; Dario Arnaldi; Luca Baldelli; Bradley F Boeve; Matteo Cesari; Irene Dall'Antonia; Nico J Diederich; Kathrin Doppler; Petr Dušek; Raffaele Ferri; Jean-François Gagnon; Ziv Gan-Or; Wiebke Hermann; Birgit Högl; Michele T Hu; Alex Iranzo; Annette Janzen; Anastasia Kuzkina; Jee-Young Lee; Klaus L Leenders; Simon J G Lewis; Claudio Liguori; Jun Liu; Christine Lo; Kaylena A Ehgoetz Martens; Jiri Nepozitek; Giuseppe Plazzi; Federica Provini; Monica Puligheddu; Michal Rolinski; Jan Rusz; Ambra Stefani; Rebekah L S Summers; Dallah Yoo; Jennifer Zitser; Wolfgang H Oertel
Journal:  Lancet Neurol       Date:  2021-08       Impact factor: 44.182

Review 10.  Sleep Abnormalities in Schizophrenia: State of the Art and Next Steps.

Authors:  Fabio Ferrarelli
Journal:  Am J Psychiatry       Date:  2021-03-17       Impact factor: 18.112

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