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Updated: May 12, 2026

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
14:21

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Published on: August 6, 2013

Biomarkers for smoking cessation.

K J Bough1, C Lerman, J E Rose

  • 1Division of Pharmacotherapies and Medical Consequences, National Institute on Drug Abuse, Bethesda, Maryland, USA. boughk@mail.nih.gov

Clinical Pharmacology and Therapeutics
|April 17, 2013
PubMed
Summary
This summary is machine-generated.

This review explores biomarkers for smoking cessation, including diagnostic, pharmacodynamic, and predictive types. These tools can improve treatment personalization and accelerate drug development for smoking cessation therapies.

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Published on: January 18, 2018

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Last Updated: May 12, 2026

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
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09:30

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Published on: January 18, 2018

Area of Science:

  • Biomarkers in therapeutic development
  • Pharmacology and drug discovery
  • Addiction research

Background:

  • Therapeutic development relies on evaluative tools like biomarkers.
  • Biomarkers aid in disease diagnosis, treatment personalization, and drug discovery.
  • Smoking cessation therapies benefit from precise evaluative measures.

Purpose of the Study:

  • To review diagnostic, pharmacodynamic, and predictive biomarkers for smoking cessation.
  • To highlight the role of biomarkers in enhancing drug development efficiency.
  • To present a comprehensive overview of current and emerging biomarkers in smoking cessation.

Main Methods:

  • Literature review of existing research on smoking cessation biomarkers.
  • Categorization of biomarkers by function (diagnostic, pharmacodynamic, predictive).
  • Exploration of diverse approaches including metabolism, genetics, and neuroimaging.

Main Results:

  • Identification of promising biomarkers across various domains.
  • Discussion of preclinical, analytical, and regulatory considerations for biomarker qualification.
  • Synthesis of current knowledge on biomarkers supporting smoking cessation.

Conclusions:

  • Biomarkers are crucial for advancing smoking cessation treatment.
  • Metabolism, genetics, and neuroimaging offer key avenues for biomarker discovery.
  • A clear pathway toward biomarker qualification is essential for clinical translation.