Fear circuit-based neurobehavioral signatures mirror resilience to chronic social stress in mouse.
Sarah AyashThomas LingnerAnna RamischSoojin RyuRaffael KalischUlrich SchmittMarianne B MüllerPublished in: Proceedings of the National Academy of Sciences of the United States of America (2023)
Consistent evidence from human data points to successful threat-safety discrimination and responsiveness to extinction of fear memories as key characteristics of resilient individuals. To promote valid cross-species approaches for the identification of resilience mechanisms, we establish a translationally informed mouse model enabling the stratification of mice into three phenotypic subgroups following chronic social defeat stress, based on their individual ability for threat-safety discrimination and conditioned learning: the Discriminating-avoiders , characterized by successful social threat-safety discrimination and extinction of social aversive memories; the Indiscriminate-avoiders , showing aversive response generalization and resistance to extinction, in line with findings on susceptible individuals; and the Non-avoiders displaying impaired aversive conditioned learning. To explore the neurobiological mechanisms underlying the stratification, we perform transcriptome analysis within three key target regions of the fear circuitry. We identify subgroup-specific differentially expressed genes and gene networks underlying the behavioral phenotypes, i.e., the individual ability to show threat-safety discrimination and respond to extinction training. Our approach provides a translationally informed template with which to characterize the behavioral, molecular, and circuit bases of resilience in mice.
Keyphrases
- healthcare
- mental health
- mouse model
- climate change
- endothelial cells
- social support
- gene expression
- clinical trial
- type diabetes
- randomized controlled trial
- big data
- transcription factor
- high resolution
- electronic health record
- heat stress
- skeletal muscle
- insulin resistance
- double blind
- copy number
- bioinformatics analysis
- data analysis
- adipose tissue