Translational behavioral phenotypes in DMSXL mice for CNS manifestations of DM1
Abstract
BACKGROUND: Myotonic dystrophy type 1 (DM1) is a multisystemic disorder frequently associated with central nervous system (CNS) involvement, especially in congenital and childhood-onset forms. However, behavioral alterations in preclinical models have so far been only partially characterized, underscoring the need for more comprehensive analyses to support the development of targeted therapeutic approaches. OBJECTIVE: gene, to identify robust and translational CNS-relevant phenotypes for preclinical studies. METHODS: Using both longitudinal and cross-sectional designs, we assessed a wide range of behavioral domains including motor function, emotional reactivity, cognition, and social interaction over time in DMSXL mice. The study was conducted in two independent laboratories with complementary expertise in DM1 pathophysiology and behavioral phenotyping. RESULTS: DMSXL mice displayed a consistent pattern of behavioral alterations reflecting CNS dysfunction. These alterations included dysregulation of emotional responses such as altered anxiety-like behavior and impaired risk evaluation, subtle deficits in object recognition and spatial memory, and reduced sociability and social discrimination. Sensorimotor gating and goal-directed behaviors were also affected, while working memory and general locomotion during open field exploration were largely preserved. CONCLUSIONS: This study defines a constellation of behavioral impairments in DMSXL mice that mirror CNS symptoms in DM1 patients and establishes a set of sensitive, age-dependent endpoints suitable for CNS-targeted therapeutic evaluation. The behavioral framework presented here offers valuable guidance for the design of future preclinical trials in DM1.
Fields of Study & Subjects
Genetic Neurodegenerative Diseases
Genetics and Neurodevelopmental Disorders
Amyotrophic Lateral Sclerosis Research
Publication details
- Journal / source
- Journal of Neuromuscular Diseases
- Volume
- 13
- Issue
- 5
- Pages
- 955–982
- Publication date
- 14 January 2026
- Language
- EN