scholarly journals Has molecular imaging delivered to drug development?

Author(s):  
Philip S. Murphy ◽  
Neel Patel ◽  
Timothy J. McCarthy

Pharmaceutical research and development requires a systematic interrogation of a candidate molecule through clinical studies. To ensure resources are spent on only the most promising molecules, early clinical studies must understand fundamental attributes of the drug candidate, including exposure at the target site, target binding and pharmacological response in disease. Molecular imaging has the potential to quantitatively characterize these properties in small, efficient clinical studies. Specific benefits of molecular imaging in this setting (compared to blood and tissue sampling) include non-invasiveness and the ability to survey the whole body temporally. These methods have been adopted primarily for neuroscience drug development, catalysed by the inability to access the brain compartment by other means. If we believe molecular imaging is a technology platform able to underpin clinical drug development, why is it not adopted further to enable earlier decisions? This article considers current drug development needs, progress towards integration of molecular imaging into studies, current impediments and proposed models to broaden use and increase impact. This article is part of the themed issue ‘Challenges for chemistry in molecular imaging’.

2021 ◽  
Vol 11 ◽  
Author(s):  
Tong Zhu

Psychiatric diseases have the lowest probability of success in clinical drug development. This presents not only an issue to address the unmet medical needs of patients, but also a hurdle for pharmaceutical and biotech industry to continue R&D in this disease area. Fundamental pharmacokinetic and pharmacodynamic principles provide an understanding of the drug exposure, target binding and pharmacological activity at the target site of action for a new drug candidate. Collectively, these principles determine the likelihood of testing the mechanism of action and enhancing the likelihood of candidate survival in Phase 2 clinical development, therefore, they are termed as the “three pillars of survival.” Human Phase 1 pharmacokinetic and pharmacodynamic studies provide evidence of the three pillars. Electroencephalogram (EEG) assessments and cognitive function tests in schizophrenia patients can provide proof of pharmacology and ensure that a pharmacological active regimen will be tested in Phase 2 proof of concept (POC) studies for the treatment of cognitive impairment associated with schizophrenia (CIAS).


2019 ◽  
Vol 53 (3) ◽  
pp. 208-215 ◽  
Author(s):  
Hyeomin Son ◽  
Kyungho Jang ◽  
Heechan Lee ◽  
Sang Eun Kim ◽  
Keon Wook Kang ◽  
...  

2004 ◽  
Vol 43 (05) ◽  
pp. 445-450 ◽  
Author(s):  
M. Markert ◽  
M. Meyners

Summary Objectives: Estimation of possible cardiovascular side effects belongs to the safety assessment of every drug candidate. Drug-induced prolongation of the QT interval can result in life-threatening ventricular arrhythmia. In pre-clinical drug development, animal experiments are used to study this possible effect. Researchers have become aware that correction formulae derived for human beings are not applicable to animal experiments. Methods: We investigated some of the proposed models by comparing the outcomes of the analyses on the same data. The data was derived from telemetry measurements on Labrador dogs. We propose the use of both the correlation with heart rate (or RR interval) and a measure of predictive performance. As a sufficiently large number of observations were available, the data was subdivided into a training and a test set. The training set serves to estimate the respective parameters while the test set is used to determine the performance of the model. Here, a kind of PRESS statistic was used. Next, the models were considered for treated animals, using the estimated parameters. Both positive and negative controls were used. Conclusions: Most models under consideration performed quite well. These models eliminated the correlation for the most part and were reasonably predictive. Furthermore, they reliably differentiate between positive and negative controls. The next steps in identifying the best correction will be to consider additional compounds as well as other species to validate our current results.


2014 ◽  
Vol 66 (6) ◽  
pp. 956-963 ◽  
Author(s):  
Baldeep Kumar ◽  
Ajay Prakash ◽  
Rakesh Kumar Ruhela ◽  
Bikash Medhi

2016 ◽  
Vol 21 (3) ◽  
pp. 445-453 ◽  
Author(s):  
Jonathan P. Roiser ◽  
Pradeep J. Nathan ◽  
Adrian P. Mander ◽  
Gabriel Adusei ◽  
Kenton H. Zavitz ◽  
...  

CNS Drugs ◽  
2016 ◽  
Vol 30 (11) ◽  
pp. 1011-1017 ◽  
Author(s):  
Ian Wadsworth ◽  
Thomas Jaki ◽  
Graeme J. Sills ◽  
Richard Appleton ◽  
J. Helen Cross ◽  
...  

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