Modeling psychiatric disorders for developing effective treatments
Open accessAbstract
Recent advances in identifying risk-associated genes have provided unprecedented opportunities for developing animal models for psychiatric disease research with the goal of attaining translational utility to ultimately develop novel treatments. However, at this early stage, successful translation has yet to be achieved. Here we review recent advances in modeling psychiatric disease, discuss the utility and limitations of animal models, and emphasize the importance of shifting from behavioral analysis to identifying neurophysiological abnormalities, which are likely to be more conserved across species and thus may increase translatability. Looking forward, we envision that preclinical research will align with clinical research to build a common framework of comparable neurobiological abnormalities and to help form subgroups of patients on the basis of similar pathophysiology. Experimental neuroscience can then use animal models to discover mechanisms underlying distinct abnormalities and develop strategies for effective treatments.
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Prominent differences between rodents and humans in social cognition and communication have led to the exploration of nonhuman primate models for research in psychiatric disorders.
“The prominent differences that exist between rodents and humans in social cognition and communication have also led to the exploration of nonhuman primate models for research in psychiatric disorders 61 .”
From Developmental timing and critical windows for the treatment of psychiatric disorders (2016) · cites this paper as [61]
Studies in animal models are also shifting from the analysis of behavioral deficits to the interrogation of neural circuit abnormalities, which is proving more powerful for the identification of pathophysiological mechanisms.
“Studies in animal models are also shifting from the analysis of behavioral deficits to the interrogation of neural circuit abnormalities 61 , which is proving more powerful for the identification of pathophysiological mechanisms.”
From Developmental timing and critical windows for the treatment of psychiatric disorders (2016) · cites this paper as [61]
Translating findings from animal models to humans is challenging.
“These species-specific differences are further highlighted by challenges in translating findings from animal models”
From Generation of Functional Human 3D Cortico-Motor Assembloids (2020) · cites this paper as Kaiser and Feng, 2015
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- Authors
- Kaiser, T., & Feng, G.
- Affiliations
- McGovern Institute for Brain Research (US)
- Broad Institute (US)
- Corresponding author
- Feng, Guoping
- Venue
- Nature Medicine
- Published
- 2015-09
- Volume
- 21
- Issue
- 9
- Pages
- 979-988
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- PMC
- PMC4886231
- OpenAlex
- W1475752521
- Cited by
- 157
- References
- 112
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 20 · 2023: 17 · 2022: 10 · 2021: 11 · 2020: 17 · 2019: 16 · 2018: 12 · 2017: 13 · 2016: 28 · 2015: 1
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- PMC
- Funders
- National Institute of Mental Health (R01MH097104)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Keywords
- mental illness, neurophysiological abnormalities, translational research, patient subgroups
- MeSH terms
- Autism Spectrum Disorder, Animals, Mental Disorders, Disease Models, Animal, Humans, Genome-Wide Association Study, Induced Pluripotent Stem Cells
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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