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Clinical pharmacology: Current innovations and future challenges.
Cracowski, Jean-Luc; Hulot, Jean-Sébastien; Laporte, Silvy; Charvériat, Mathieu; Roustit, Matthieu; Deplanque, Dominique; Girodet, Pierre-Olivier.
Affiliation
  • Cracowski JL; INSERM U1042, Université Grenoble Alpes, Grenoble, France.
  • Hulot JS; CHU de Grenoble, Service de Pharmacologie - Pharmacosurveillance, CIC1406, Centre Régional de Pharmacovigilance, Grenoble, France.
  • Laporte S; INSERM, PARCC, Université de Paris, Paris, France.
  • Charvériat M; CIC1418 and DMU CARTE, AP-HP, Hôpital Européen Georges-Pompidou, Paris, France.
  • Roustit M; Saint-Etienne, UMR1059, Université Jean-Monnet, Saint-Etienne, France.
  • Deplanque D; CHU de Saint-Etienne, Unité de recherche clinique, Innovation et pharmacologie, Saint-Etienne, France.
  • Girodet PO; Theranexus, Lyon, France.
Fundam Clin Pharmacol ; 36(3): 456-467, 2022 Jun.
Article in En | MEDLINE | ID: mdl-34954839
ABSTRACT
Clinical pharmacology is the study of drugs in humans, from first-in-human studies to randomized controlled trials (RCTs) and benefit-risk ratio assessment in large populations. The objective of this review is to present the recent innovations that may revolutionize the development of drugs in the future. On behalf of the French Society of Pharmacology and Therapeutics, we provide recommendations to address those future challenges in clinical pharmacology. Whatever the future will be, robust preliminary data on drug mechanism of action and rigorous study design will remain crucial prior to the start of pharmacological studies in human. At the present time, RCTs remain the gold standard to evaluate the efficacy of human drugs, although alternative designs (pragmatic trials, platform trials, etc.) are emerging. Innovations in healthy volunteers' studies and the contribution of new technologies such as artificial intelligence, machine learning, and internet-based trials have the potential to improve drug development. In the field of precision medicine, new disease phenotypes and endotypes will probably help to identify new pharmacological targets, responders to therapies, and patients at risk for drug adverse events. In such a moving landscape, the development of translational research through academic and private partnership, transparent sharing of clinical trial data and enhanced interactions between drug experts, patients, and the general public are priority areas for action.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pharmacology, Clinical Type of study: Clinical_trials / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Fundam Clin Pharmacol Journal subject: FARMACOLOGIA Year: 2022 Document type: Article Affiliation country: France

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pharmacology, Clinical Type of study: Clinical_trials / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Fundam Clin Pharmacol Journal subject: FARMACOLOGIA Year: 2022 Document type: Article Affiliation country: France