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Behavioral impulsivity is associated with pupillary alterations and hyperactivity in CDKL5 mutant mice
Aurelia Viglione1, Giulia Sagona2, Fabio Carrara3
1BIO@SNS Lab, Scuola Normale Superiore, via Moruzzi 1, 56124 Pisa, Italy.
Human Molecular Genetics
|July 21, 2022
Summary
Cyclin-dependent kinase-like 5 (CDKL5) deficiency disorder causes severe neurodevelopmental issues. Pupillometry reveals pupil size changes, offering a potential biomarker for early CDD diagnosis and monitoring.
Area of Science:
- Neuroscience
- Genetics
- Developmental Biology
Background:
- Cyclin-dependent kinase-like 5 (CDKL5) deficiency disorder (CDD) is a severe X-linked neurodevelopmental condition.
- CDD presents with early-onset seizures, intellectual disability, and motor/social impairments, lacking effective treatments.
- Mouse models suggest autism-like phenotypes and arousal system dysregulation, indicating potential translational biomarkers.
Purpose of the Study:
- To assess cognitive, motor, and arousal system functions in CDD mouse models.
- To evaluate the potential of behavioral and pupillometry data as biomarkers for CDD.
- To test artificial intelligence models for classifying CDD genotype based on phenotype.
Main Methods:
- Operant conditioning chambers were used to test cognitive and motor abilities in CDD mice.
- Pupillometry and locomotor activity recording assessed arousal system integrity.
- Machine learning models analyzed behavioral and physiological data for genotype classification.
Main Results:
- CDD mice exhibited impulsivity, reduced cognitive flexibility, and perseverative behaviors.
- Pupillometry showed smaller pupil size and impaired response to stimuli in CDD mice, alongside hyperlocomotion.
- Machine learning confirmed behavioral and pupillometry parameters as strong CDD predictors.
Conclusions:
- CDD mouse models display significant cognitive, motor, and arousal deficits.
- Pupil size monitoring is proposed as a promising, easily measurable biomarker for CDD.
- AI analysis of behavioral and physiological data aids in CDD prediction.

