Mice born preterm develop gait dystonia and reduced cortical parvalbumin immunoreactivity.
Kat GemperliFemi FolorunsoBenjamin NorinRebecca JoshuaClayton HillRachel RykowskiRafael GalindoBhooma R AravamuthanPublished in: bioRxiv : the preprint server for biology (2024)
Preterm birth leading to cerebral palsy (CP) is the most common cause of childhood dystonia, a movement disorder that is debilitating and often treatment refractory. Dystonia has been typically associated with dysfunction of striatal cholinergic interneurons, but clinical imaging data suggests that cortical injury may best predict dystonia following preterm birth. Furthermore, abnormal sensorimotor cortex inhibition has been found in many studies of non-CP dystonias. To assess the potential for a cortical etiology of dystonia following preterm birth, we developed a new model of preterm birth in mice. Noting that term delivery in mice on a C57BL/6J background is embryonic day 19.1 (E19.1), we induced preterm birth at the limits of pup viability at embryonic day (E) 18.3, equivalent to human 22 weeks gestation. Mice born preterm demonstrate display clinically validated metrics of dystonia during gait (leg adduction amplitude and variability) and also demonstrate reduced parvalbumin immunoreactivity in the sensorimotor cortex, suggesting dysfunction of cortical parvalbumin-positive inhibitory interneurons. Notably, reduced parvalbumin immunoreactivity or changes in parvalbumin-positive neuronal number were not observed in the striatum. These data support the association between cortical dysfunction and dystonia following preterm birth. We propose that our mouse model of preterm birth can be used to study this association and potentially also study other sequelae of extreme prematurity.
Keyphrases
- preterm birth
- gestational age
- deep brain stimulation
- low birth weight
- early onset
- parkinson disease
- cerebral palsy
- functional connectivity
- high fat diet induced
- mouse model
- resting state
- oxidative stress
- endothelial cells
- big data
- electronic health record
- type diabetes
- high resolution
- wild type
- artificial intelligence
- insulin resistance
- metabolic syndrome
- subarachnoid hemorrhage
- skeletal muscle
- drug induced
- fluorescence imaging
- deep learning