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Preclinical Data Extrapolation to Clinical Reality: A Translational Approach
Prakhar Varshney1, Phool Chandra1
1Department of Physiology & Pharmacology, Teerthanker Mahaveer College of Pharmacy, Teerthanker Mahaveer University, Moradabad, 244001, Uttar Pradesh, India.
Current Drug Discovery Technologies
|April 27, 2024
Summary
Preclinical research using in vivo and in vitro models is crucial for drug development. Understanding drug metabolism and pharmacokinetics informs clinical trials and explains individual responses to medications.
Area of Science:
- Pharmacology and Drug Development
- Translational Science
Background:
- In vivo investigations present complexities and challenges in drug development.
- Translating preclinical data into clinical outcomes remains a significant hurdle.
Purpose of the Study:
- To highlight the importance of preclinical in vivo and in vitro studies for novel drug development.
- To emphasize the role of pharmacokinetic and metabolic research in advancing clinical trials, particularly for anticancer agents.
Main Methods:
- Utilizing both living and deceased in vitro models to assess pharmacological actions.
- Selecting animal species based on metabolic patterns to ensure human relevance.
- Conducting pharmacokinetic and metabolic research to understand drug and metabolite effects.
Main Results:
- Preclinical data aids in progressing to Phase I clinical studies.
- In vitro models can predict pharmacological actions of drug families.
- Metabolic research clarifies individual variations in drug response.
Conclusions:
- Pharmacokinetic and metabolic research is essential for drug development.
- In vivo and in vitro studies provide critical insights for clinical translation.
- Understanding metabolism is key to addressing individual differences in drug efficacy.
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