Literature DB >> 33491134

A compound heterozygous PINK1-associated juvenile Parkinson's disease with pregnancy in Chinese.

Jun-Ying Li1, Nan-Nan Li1, Ling Wang1, Jia-Xin Peng1, Li-Ren Duan1, Chao-Lan Chen1, Rong Peng2.   

Abstract

BACKGROUND: PINK1 mutations are the second most common cause of recessive, early-onset Parkinson's disease (EOPD), of which 15% are cases of juvenile PD. PD is a progressive neurological disease that primarily affects middle-aged and older people. Thus PD patients experiencing pregnancy is uncommon, especially in patients with juvenile PD caused by PINK1 mutations. We are first to report a woman from a Chinese family diagnosed with sporadic juvenile PD and treated with levodopa/benserazide throughout pregnancy.
METHODS: Whole exome sequencing was performed on this patient, and pedigree verification was performed on her parents. This patient received levodopa/benserazide treatment with regular outpatient follow-up exams.
RESULTS: Whole exome sequencing and Sanger sequencing identified a heterozygous nonsense mutation (c.1474C > T, p.R492X) and a splicing mutation (c.1488 + 1G > A) that were in exon 7 of the PINK1 gene, co-segregating with the PD phenotype and exhibiting an autosomal recessive pattern. With regular outpatient follow-up exams, this patient delivered a healthy boy without complications. Her PD symptoms were stable with the levodopa/benserazide treatment throughout her pregnancy except in the postpartum period.
CONCLUSION: Our findings further demonstrated the safety of levodopa with dopa-decarboxylase treatment in PINK1-associated juvenile PD during pregnancy.

Entities:  

Keywords:  Compound heterozygous; Levodopa/benserazide; PINK1; Parkinson’s disease; Pregnancy

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Year:  2021        PMID: 33491134     DOI: 10.1007/s00415-021-10405-z

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  1 in total

1.  Identification of BAG5 as a Potential Biomarker for Parkinson's Disease Patients With R492X PINK1 Mutation.

Authors:  Yu Fu; Yongkang Chen; Haiyan Tian; Han Liu; Dan Qi; Erxi Wu; Xuejing Wang
Journal:  Front Neurosci       Date:  2022-07-27       Impact factor: 5.152

  1 in total

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