The abiding relevance of mouse models of rare mutations to psychiatric neuroscience and therapeutics.

Schizophr Res

Mortimer B. Zuckerman Mind Brain and Behavior Institute Columbia University, New York, NY 10027, USA; Department of Physiology and Cellular Biophysics, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.

Published: March 2020

AI Article Synopsis

  • Studies employing family-based designs and large-scale case-control analyses have successfully identified significant genetic risk mutations for mental illness, while also facilitating the development of mouse models for these conditions.
  • The integration of advanced neuroscience techniques with these models has shed light on the mechanisms behind cognitive and sensory processing deficits associated with schizophrenia, highlighting issues in neuronal assembly activity.
  • By exploring the computational aspects of neural networks, researchers aim to uncover how genetic variations influence symptom emergence and to create targeted therapies that address the underlying circuitry and biological pathways involved.

Article Abstract

Studies using powerful family-based designs aided by large scale case-control studies, have been instrumental in cracking the genetic complexity of the disease, identifying rare and highly penetrant risk mutations and providing a handle on experimentally tractable model systems. Mouse models of rare mutations, paired with analysis of homologous cognitive and sensory processing deficits and state-of-the-art neuroscience methods to manipulate and record neuronal activity have started providing unprecedented insights into pathogenic mechanisms and building the foundation of a new biological framework for understanding mental illness. A number of important principles are emerging, namely that degradation of the computational mechanisms underlying the ordered activity and plasticity of both local and long-range neuronal assemblies, the building blocks necessary for stable cognition and perception, might be the inevitable consequence and the common point of convergence of the vastly heterogeneous genetic liability, manifesting as defective internally- or stimulus-driven neuronal activation patterns and triggering the constellation of schizophrenia symptoms. Animal models of rare mutations have the unique potential to help us move from "which" (gene) to "how", "where" and "when" computational regimes of neural ensembles are affected. Linking these variables should improve our understanding of how symptoms emerge and how diagnostic boundaries are established at a circuit level. Eventually, a better understanding of pathophysiological trajectories at the level of neural circuitry in mice, aided by basic human experimental biology, should guide the development of new therapeutics targeting either altered circuitry itself or the underlying biological pathways.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6790166PMC
http://dx.doi.org/10.1016/j.schres.2019.03.018DOI Listing

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