JABBEDARI, Sayena and RAHIMIAN, Elham and JAFARI, Narjes and SANII, Sara and BIGLARI, Habibe NEJAD and KHAYATZADEH KAKHKI, Simin (2015) The clinical features and diagnosis of Metachromatic leukodystrophy: A case series of Iranian Pediatric patients. Iranian Journal of Child Neurology, 9 (3). pp. 47-61.
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Abstract
Objective
Metachromatic leukodystrophy disorder (MLD) is one of the rare neurometabolic
diseases caused due to lack of saposin B and arylsulfatase A enzyme deficiency.
Materials & Methods
Eighteen patients diagnosed as metachromatic leukodystrophy in the Neurology
Department of Mofid Children’s Hospital in Tehran, Iran between 2010 and
2014 were included in our study. The disorder was confirmed by clinical,
EMG-NCV, arylsulfatase A enzyme checking and neuroimaging findings along
with neurometabolic and genetic assessment from reference laboratory in Iran.
We assessed age, gender, past medical history, developmental status, clinical
manifestations, and neuroimaging findings of 18 patients with metachromatic
leukodystrophy.
Results
From 18 patients, 80% were offspring from consanguineous marriages. A family
history of metachromatic leukodystrophy disease was positive for four patients.
Twelve patients had late infantile form of this disorder and six patients had juvenile form. A history of tonic type seizure was positive in 20% of the patients and tonic spasm was confirmed with clinical information. Electromyographgraphy (EMG) in 96% of patients was abnormal with demyelinating sensorimotor neuropathy pattern. MRI in all patients showed the leukodystrophic pattern as arcuate fibers sparing and subcortical rim in white matter and periventricular involvement. Our diagnosis was confirmed by EMG-NCV findings with sensorimotor neuropathy pattern and the assessment of arylsulfatase A enzyme function.
Conclusion
MLD is an inheritance metabolic disorder, which was confirmed by the
assessment of arylsulfatase A enzyme function, peripheral blood leukocyte that
assessed in a referral laboratory in Iran.
Item Type: | Article |
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Subjects: | GO for STM > Medical Science |
Depositing User: | Unnamed user with email support@goforstm.com |
Date Deposited: | 18 Mar 2023 09:07 |
Last Modified: | 15 Sep 2023 05:38 |
URI: | http://archive.article4submit.com/id/eprint/350 |