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Published on: September 8, 2021
Neuroimaging Biomarkers for Drug Discovery and Development in Schizophrenia
Katrin H Preller1, Joachim Scholpp2, Andreas Wunder2
1Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany; Boehringer Ingelheim (Schweiz) GmbH, Basel, Switzerland.
Neuroimaging advances schizophrenia drug development by aiding target discovery and dose selection. However, validated biomarkers are still needed for effective treatment of cognitive and negative symptoms.
Area of Science:
- Neuroscience
- Psychiatry
- Pharmacology
Background:
- Schizophrenia affects 1% of the population, with unmet needs for cognitive and negative symptom treatments.
- Neuroimaging research is advancing understanding of schizophrenia pathophysiology and drug targets.
- Validated biomarkers are crucial but currently lacking for novel therapeutic development.
Purpose of the Study:
- To review the role of neuroimaging in clinical drug development for psychotic disorders.
- To highlight neuroimaging's contribution to target discovery, engagement, and dose selection.
- To discuss the potential and limitations of neuroimaging biomarkers in drug development.
Main Methods:
- Review of current neuroimaging technologies and their application in drug development.
- Examination of case studies, such as NMDA receptor hypofunction targets.
- Analysis of pharmacological neuroimaging in healthy volunteers and patient populations.
Main Results:
- Neuroimaging is critical for target discovery, engagement, and dose selection in drug development programs.
- Pharmacological neuroimaging can offer response biomarkers for early decision-making in proof-of-concept studies.
- Biomarker evaluation in patient populations is limited, with ongoing challenges in validation.
Conclusions:
- Neuroimaging plays a vital role in advancing drug development for schizophrenia and related disorders.
- Further research and validation are necessary to establish reliable neuroimaging biomarkers for clinical use.
- Novel neuroimaging approaches may enable predictive, individualized biomarkers in the future.
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