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Putative cognitive enhancers in preclinical models related to schizophrenia: the search for an elusive target
1Ernest Gallo Research Center, University of California San Francisco, Emeryville, CA 94608, USA.
Abstract:
Several developments have converged to drive what may be called "the cognitive revolution" in drug discovery in schizophrenia (SCZ), including the emphasis on cognitive deficits as a core disabling aspect of SCZ, the increasing consensus that cognitive deficits are not treated satisfactorily by the available antipsychotic drugs (APDs), and the failure of animal models to predict drug efficacy for cognitive deficits in clinical trials. Consequently, in recent years, a paradigm shift has been encouraged in animal modeling, triggered by the NIMH sponsored Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative, and intended to promote the development and use of behavioral measures in animals that can generate valid (clinically relevant) measures of cognition and thus promote the identification of cognition enhancers for SCZ. Here, we provide a non-exhaustive survey of the effects of putative cognition enhancers (PCEs) representing 10 pharmacological targets as well as antipsychotic drugs (APDs), on SCZ-mimetic drugs (NMDA antagonists, muscarinic antagonist scopolamine and dopaminergic agonist amphetamine), in several tasks considered to measure cognitive processes/domains that are disrupted in SCZ (the five choice serial reaction time task, sustain attention task, working and/or recognition memory (delayed (non)matching to sample, delayed alternation task, radial arm maze, novel object recognition), reversal learning, attentional set shifting, latent inhibition and spatial learning and memory). We conclude that most of the available models have no capacity to distinguish between PCEs and APDs and that there is a need to establish models based on tasks whose perturbations lead to performance impairments that are resistant to APDs, and/or to accept APDs as a "weak gold standard". Several directions derived from the surveyed data are suggested.
Insights
Current animal models struggle to identify effective schizophrenia cognition enhancers. New models are needed that are resistant to antipsychotic drugs (APDs) or use APDs as a weak standard for better drug discovery.
Area of Science:
- Neuroscience and Pharmacology
- Schizophrenia Research
- Cognitive Deficits in Mental Disorders
Background:
- Cognitive deficits are a core, disabling feature of schizophrenia (SCZ).
- Existing antipsychotic drugs (APDs) inadequately treat these cognitive deficits.
- Traditional animal models have failed to predict clinical efficacy for SCZ cognition enhancers.
Purpose of the Study:
- To survey the effects of putative cognition enhancers (PCEs) and APDs on SCZ-mimetic drug challenges in animal models.
- To evaluate the validity of current animal models for identifying novel cognition enhancers for SCZ.
- To propose improvements for animal modeling in SCZ drug discovery.
Main Methods:
- Reviewed studies on PCEs and APDs using SCZ-mimetic drugs (NMDA antagonists, scopolamine, amphetamine).
- Assessed performance in various behavioral tasks measuring cognitive domains disrupted in SCZ (e.g., attention, memory, executive function).
- Analyzed the capacity of models to differentiate between PCEs and APDs.
Main Results:
- Most current animal models cannot distinguish between putative cognition enhancers and antipsychotic drugs.
- Performance impairments induced by SCZ-mimetic drugs are often ameliorated by APDs, limiting model specificity.
- A significant need exists for models that can identify agents specifically targeting cognitive deficits.
Conclusions:
- Existing animal models require refinement to effectively support the discovery of cognition enhancers for schizophrenia.
- Future models should focus on tasks where impairments are resistant to APDs or establish APDs as a weak gold standard.
- Developing clinically relevant animal models is crucial for advancing schizophrenia treatment.
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