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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

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Biomarkers-A General Review.

Jeffrey K Aronson¹, Robin E Ferner^2,3

¹Centre for Evidence Based Medicine, Nuffield Department of Primary Care Health Sciences, Radcliffe Infirmary, Oxford, United Kingdom.

Current Protocols in Pharmacology

|March 18, 2017

Summary

This summary is machine-generated.

Biomarkers are measurable biological indicators that predict clinical outcomes, offering a more accessible and cost-effective alternative to direct endpoint measurement for various applications. Understanding their pathophysiological link is key to their effective use in healthcare.

Keywords:

adverse drug reactions biomarkers diagnosis drug development drug discovery monitoring drug therapy screening surrogate endpoints surrogate markers

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Area of Science:

Biomedical Science
Clinical Research
Translational Medicine

Background:

Biomarkers are biological observations that serve as surrogates for clinically relevant endpoints.
Their measurement is often easier, less expensive, and faster than direct endpoint assessment.
Biomarkers are crucial tools in modern medical research and practice.

Purpose of the Study:

To define the role and utility of biomarkers in clinical settings.
To highlight the importance of the pathophysiological relationship between biomarkers and clinical endpoints.
To outline the desirable characteristics of a good biomarker.

Main Methods:

This abstract discusses the conceptual framework and applications of biomarkers.
It emphasizes the importance of understanding the underlying biological mechanisms.
Key characteristics of effective biomarkers are described.

Main Results:

Biomarkers facilitate disease screening, diagnosis, monitoring, and prognosis.
They are instrumental in developing personalized therapies and managing drug reactions.
Biomarkers aid in pharmacodynamic and dose-response studies.

Conclusions:

Effective biomarkers are measurable, reliable, and sensitive to therapeutic changes.
A strong understanding of the biomarker-endpoint relationship is essential for validation.
Biomarkers significantly enhance the efficiency and scope of clinical studies.