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Steven D Targum1, Mark H Pollack, Maurizio Fava
1Department of Psychiatry, Clinical Trials Network and Institute, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. sdtargum@yahoo.com
Abstract:
The evaluation of new drug entities with specific modes of action may be hampered by rigid diagnostic classification systems and patient selection processes that do not focus on the anticipated symptomatic, behavioral, and functional outcomes to be achieved. Patients enrolled in central nervous system (CNS) clinical trials may present with a heterogeneous group of symptoms representing several syndromes or subtypes, subsumed under the same diagnosis in the DSM-IV classification system. As a result, enrolled patients may not have the valid illness characteristics of interest to the particular study. We propose that clinical drug development needs to focus on the primary nosological entity likely to be affected by a new drug entity's mode of action. Ideally, a valid patient will have the acute primary symptoms that the novel drug is supposed to influence. In this article, we propose operational criteria to delineate a more symptom-specific and ecologically valid approach to the identification of the valid patient for clinical trials.
Insights
Rigid diagnostic systems hinder drug development. This study proposes symptom-specific patient selection criteria for more effective central nervous system (CNS) clinical trials.
Area of Science:
- Neuroscience
- Clinical Pharmacology
- Psychiatry
Background:
- Current diagnostic systems (e.g., DSM-IV) may not adequately capture patient heterogeneity in central nervous system (CNS) clinical trials.
- Patient selection based on broad diagnoses can lead to enrollment of individuals not representative of the target illness, potentially compromising drug efficacy evaluation.
- Existing classification systems may not align with the specific mechanisms of action of novel drug entities.
Purpose of the Study:
- To propose operational criteria for a more symptom-specific and ecologically valid approach to patient identification in clinical trials.
- To address limitations in current diagnostic and patient selection processes that impede the evaluation of new drug entities.
- To enhance the precision of patient selection in CNS drug development by focusing on primary nosological entities.
Main Methods:
- Review and critique of current diagnostic classification systems and patient selection methodologies in CNS clinical trials.
- Development of proposed operational criteria for identifying patients based on symptom-specific and outcome-oriented approaches.
- Emphasis on aligning patient characteristics with the intended mode of action of novel therapeutic agents.
Main Results:
- Identification of limitations in rigid diagnostic systems for evaluating drugs with specific mechanisms of action.
- Proposal of a framework for selecting patients based on the primary nosological entity and acute symptoms targeted by a drug.
- Advocacy for a more symptom-specific and ecologically valid approach to patient identification.
Conclusions:
- A shift towards symptom-specific patient selection is crucial for effective clinical drug development in CNS disorders.
- Operationalizing criteria for identifying the 'valid patient' based on targeted symptoms will improve trial outcomes.
- This approach aims to enhance the reliability and validity of clinical trial results for novel CNS therapies.
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