메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
대한신경과학회 Journal of Clinical Neurology Journal of Clinical Neurology 제13권 제1호
발행연도
2017.1
수록면
27 - 31 (5page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Background and Purpose Spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular disease characterized by progressive muscle weakness and atrophy. Most SMA patients have a homozygous deletion in survival of motor neuron 1 (SMN1) gene, and neuronal apoptosis inhibitory protein (NAIP) gene is considered a phenotype modifier. We investigated the genotype-phenotype correlation of SMN1 and NAIP deletions in Korean SMA patients. Methods Thirty-three patients (12 males and 21 females) treated at the Asan Medical Center between 1999 and 2013 were analyzed retrospectively. The polymerase chain reaction (PCR), restriction-fragment-length polymorphism analysis, and multiplex PCR were used to detect deletions in SMN1 (exons 7 and 8) and NAIP (exons 4 and 5). We reviewed clinical presentations and outcomes and categorized the patients into three clinical types. NAIP deletion-driven differences between the two genotypes were analyzed. Results Deletion analysis identified homozygous deletions of SMN1 exons 7 and 8 in 30 patients (90.9%). Among these, compared with patients without an NAIP deletion, those with an NAIP deletion showed a significantly lower age at symptom onset (1.9±1.7 months vs. 18.4±20.4 months, mean±SD; p=0.007), more frequent type 1 phenotype (6/6 vs. 8/24, p=0.005), and worse outcomes, with early death or a requirement for ventilator support (4/4 vs. 2/12, p=0.008). Conclusions Homozygous deletion in SMN1 and a concurrent NAIP deletion were associated with an early onset, severe hypotonia, and worse outcome in SMA patients. Deletion analysis of NAIP and SMN1 can help to accurately predict prognostic outcomes in SMA.

목차

등록된 정보가 없습니다.

참고문헌 (22)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0