Pocratsky, Amanda M;
Nascimento, Filipe;
Özyurt, M Görkem;
White, Ian J;
Sullivan, Roisin;
O'Callaghan, Benjamin J;
Smith, Calvin C;
... Brownstone, Robert M; + view all
(2023)
Pathophysiology of Dyt1-Tor1a dystonia in mice is mediated by spinal neural circuit dysfunction.
Science Translational Medicine
, 15
(694)
, Article eadg3904. 10.1126/scitranslmed.adg3904.
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Pocratsky et al STM 2023 AAM.pdf - Accepted Version Download (239MB) | Preview |
Abstract
Dystonia, a neurological disorder defined by abnormal postures and disorganized movements, is considered to be a neural circuit disorder with dysfunction arising within and between multiple brain regions. Given that spinal neural circuits constitute the final pathway for motor control, we sought to determine their contribution to this movement disorder. Focusing on the most common inherited form of dystonia in humans, DYT1-TOR1A, we generated a conditional knockout of the torsin family 1 member A (Tor1a) gene in the mouse spinal cord and dorsal root ganglia (DRG). We found that these mice recapitulated the phenotype of the human condition, developing early-onset generalized torsional dystonia. Motor signs emerged early in the mouse hindlimbs before spreading caudo-rostrally to affect the pelvis, trunk, and forelimbs throughout postnatal maturation. Physiologically, these mice bore the hallmark features of dystonia, including spontaneous contractions at rest and excessive and disorganized contractions, including cocontractions of antagonist muscle groups, during voluntary movements. Spontaneous activity, disorganized motor output, and impaired monosynaptic reflexes, all signs of human dystonia, were recorded from isolated mouse spinal cords from these conditional knockout mice. All components of the monosynaptic reflex arc were affected, including motor neurons. Given that confining the Tor1a conditional knockout to DRG did not lead to early-onset dystonia, we conclude that the pathophysiological substrate of this mouse model of dystonia lies in spinal neural circuits. Together, these data provide new insights into our current understanding of dystonia pathophysiology.
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