Literature DB >> 19789193

How-to guide on biomarkers: biomarker definitions, validation and applications with examples from cardiovascular disease.

V O Puntmann1.   

Abstract

A biomarker is a characteristic that can be objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes or pharmacological responses to a therapeutic intervention. Many commonly used tests in clinical practice can serve as biomarkers. The majority have been identified on the basis of insight or underlying physiology or biological mechanisms. With increasing knowledge and practical experience, some of these tests have evolved into a measurable end point in clinical research, applied as an indicator of change, for the better or worse. The traditional identification of biomarkers as an observational side product of clinical practice is increasingly turning into an industrialised process of biomarker discovery, supported by standardised paradigms of biomarker validation and translation from bench to bedside. The potential utility of biomarkers in clinical studies, investigating either new treatments or new strategies of clinical management, is capitalizing on recent advances in technology, from molecular sciences to powerful imaging, bearing the promise of expediting the discovery of new treatments. In the active search for new biomarkers, many potential candidates can be considered side by side, allowing many failures but a few great winners. Biomarker discovery is an ongoing process, with translation being tested de novo in every single study, providing us with the opportunity to revise our knowledge of the complex scheme of human physiology and pathophysiology. In predicting what Nature has set in place, advances in technology may be only the first step. This review provides an introduction to the field of biomarker discovery and translation. It deals with evolving nomenclature, basic principles of the validation process, and, drawing on examples in cardiovascular medicine, their significance for clinical application.

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Year:  2009        PMID: 19789193     DOI: 10.1136/pgmj.2008.073759

Source DB:  PubMed          Journal:  Postgrad Med J        ISSN: 0032-5473            Impact factor:   2.401


  35 in total

Review 1.  A Review of Cutoffs for Nutritional Biomarkers.

Authors:  Ramkripa Raghavan; Fayrouz Sakr Ashour; Regan Bailey
Journal:  Adv Nutr       Date:  2016-01-15       Impact factor: 8.701

Review 2.  Biomarker discovery and development in pediatric critical care medicine.

Authors:  Jennifer M Kaplan; Hector R Wong
Journal:  Pediatr Crit Care Med       Date:  2011-03       Impact factor: 3.624

3.  Presepsin: solving a soluble (CD14) problem in sepsis?

Authors:  Gareth L Ackland; John R Prowle
Journal:  Intensive Care Med       Date:  2015-01-22       Impact factor: 17.440

Review 4.  Mass spectrometry: A platform for biomarker discovery and validation for Alzheimer's and Parkinson's diseases.

Authors:  Eugene M Cilento; Lorrain Jin; Tessandra Stewart; Min Shi; Lifu Sheng; Jing Zhang
Journal:  J Neurochem       Date:  2019-01-31       Impact factor: 5.372

5.  A critical assessment of feature selection methods for biomarker discovery in clinical proteomics.

Authors:  Christin Christin; Huub C J Hoefsloot; Age K Smilde; B Hoekman; Frank Suits; Rainer Bischoff; Peter Horvatovich
Journal:  Mol Cell Proteomics       Date:  2012-10-31       Impact factor: 5.911

Review 6.  Biomarkers of sepsis and their potential value in diagnosis, prognosis and treatment.

Authors:  Mary Sandquist; Hector R Wong
Journal:  Expert Rev Clin Immunol       Date:  2014-08-21       Impact factor: 4.473

7.  Up-regulated proteins in the fluid bathing the tumour cell microenvironment as potential serological markers for early detection of cancer of the breast.

Authors:  Pavel Gromov; Irina Gromova; Jakob Bunkenborg; Teresa Cabezon; José M A Moreira; Vera Timmermans-Wielenga; Peter Roepstorff; Fritz Rank; Julio E Celis
Journal:  Mol Oncol       Date:  2009-11-23       Impact factor: 6.603

Review 8.  Methods and challenges in quantitative imaging biomarker development.

Authors:  Richard G Abramson; Kirsteen R Burton; John-Paul J Yu; Ernest M Scalzetti; Thomas E Yankeelov; Andrew B Rosenkrantz; Mishal Mendiratta-Lala; Brian J Bartholmai; Dhakshinamoorthy Ganeshan; Leon Lenchik; Rathan M Subramaniam
Journal:  Acad Radiol       Date:  2015-01       Impact factor: 3.173

9.  Imaging Biomarkers for Intra-arterial Stroke Therapy.

Authors:  Olvert A Berkhemer; Shervin Kamalian; R Gilberto González; Charles B L M Majoie; Albert J Yoo
Journal:  Cardiovasc Eng Technol       Date:  2013-12-01       Impact factor: 2.495

Review 10.  Biomarkers in Alzheimer's disease analysis by mass spectrometry-based proteomics.

Authors:  Yahui Liu; Hong Qing; Yulin Deng
Journal:  Int J Mol Sci       Date:  2014-05-06       Impact factor: 5.923

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