Literature DB >> 19917823

Frequency and phenotype of SPG11 and SPG15 in complicated hereditary spastic paraplegia.

R Schüle1, N Schlipf, M Synofzik, S Klebe, S Klimpe, U Hehr, B Winner, T Lindig, A Dotzer, O Riess, J Winkler, L Schöls, P Bauer.   

Abstract

BACKGROUND: Hereditary spastic paraplegias (HSP) are clinically and genetically highly heterogeneous. Recently, two novel genes, SPG11 (spatacsin) and SPG15 (spastizin), associated with autosomal recessive HSP, were identified. Clinically, both are characterised by complicated HSP and a rather similar phenotype consisting of early onset spastic paraplegia, cognitive deficits, thin corpus callosum (TCC), peripheral neuropathy and mild cerebellar ataxia.
OBJECTIVE: To compare the frequency of SPG11 and SPG15 in patients with early onset complicated HSP and to further characterise the phenotype of SPG11 and SPG15.
RESULTS: A sample of 36 index patients with early onset complicated HSP and a family history compatible with autosomal recessive inheritance was collected and screened for mutations in SPG11 and SPG15. Overall frequency of SPG11 was 14% (5/36) but was considerably higher in patients with TCC (42%). One patient with mental retardation and thinning of the corpus callosum was compound heterozygous for two novel SPG15 mutations. Additionally, several new polymorphisms and sequence variants of unknown significance have been identified in the SPG15 gene.
CONCLUSIONS: TCC seems to be the best phenotypic predictor for SPG11 as well as SPG15. No clinical features could discriminate between SPG11 and SPG15. Therefore, priority of genetic testing should be driven by mutation frequency that appears to be substantially higher in SPG11 than in SPG15.

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Year:  2009        PMID: 19917823     DOI: 10.1136/jnnp.2008.167528

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  29 in total

1.  Expanding the clinical spectrum of SPG11 gene mutations in recessive hereditary spastic paraplegia with thin corpus callosum.

Authors:  Alice Abdel Aleem; Nourhan Abu-Shahba; Dominika Swistun; Jennifer Silhavy; Stephanie L Bielas; Shifteh Sattar; Joseph G Gleeson; Maha S Zaki
Journal:  Eur J Med Genet       Date:  2010-11-12       Impact factor: 2.708

Review 2.  Mendelian neurodegenerative disease genes involved in autophagy.

Authors:  Lidia Wróbel; Sandra Malmgren Hill; Claudia Puri; Sung Min Son; Motoki Fujimaki; Ye Zhu; Eleanna Stamatakou; Farah Siddiqi; Marian Fernandez-Estevez; Marco M Manni; So Jung Park; Julien Villeneuve; David Chaim Rubinsztein
Journal:  Cell Discov       Date:  2020-05-05       Impact factor: 10.849

3.  Spastizin mutation in hereditary spastic paraplegia with thin corpus callosum.

Authors:  Sanjiban Chakrabarty; Nimish Vijayakumar; Kurupath Radhakrishnan; Kapaettu Satyamoorthy
Journal:  J Neurol       Date:  2016-08-20       Impact factor: 4.849

4.  Mutations in CYP2U1, DDHD2 and GBA2 genes are rare causes of complicated forms of hereditary spastic paraparesis.

Authors:  Andrea Citterio; Alessia Arnoldi; Elena Panzeri; Maria Grazia D'Angelo; Massimiliano Filosto; Robertino Dilena; Filippo Arrigoni; Marianna Castelli; Cristina Maghini; Chiara Germiniasi; Francesca Menni; Andrea Martinuzzi; Nereo Bresolin; Maria Teresa Bassi
Journal:  J Neurol       Date:  2013-12-13       Impact factor: 4.849

5.  Mutation screen reveals novel variants and expands the phenotypes associated with DYNC1H1.

Authors:  Alleene V Strickland; Maria Schabhüttl; Hans Offenbacher; Matthis Synofzik; Natalie S Hauser; Michaela Brunner-Krainz; Ursula Gruber-Sedlmayr; Steven A Moore; Reinhard Windhager; Benjamin Bender; Matthew Harms; Stephan Klebe; Peter Young; Marina Kennerson; Avencia Sanchez Mejias Garcia; Michael A Gonzalez; Stephan Züchner; Rebecca Schule; Michael E Shy; Michaela Auer-Grumbach
Journal:  J Neurol       Date:  2015-06-24       Impact factor: 4.849

Review 6.  Congenital disorders of autophagy: an emerging novel class of inborn errors of neuro-metabolism.

Authors:  Darius Ebrahimi-Fakhari; Afshin Saffari; Lara Wahlster; Jenny Lu; Susan Byrne; Georg F Hoffmann; Heinz Jungbluth; Mustafa Sahin
Journal:  Brain       Date:  2015-12-29       Impact factor: 13.501

7.  Impaired mitochondrial dynamics underlie axonal defects in hereditary spastic paraplegias.

Authors:  Kyle Denton; Yongchao Mou; Chong-Chong Xu; Dhruvi Shah; Jaerak Chang; Craig Blackstone; Xue-Jun Li
Journal:  Hum Mol Genet       Date:  2018-07-15       Impact factor: 6.150

8.  Hereditary spastic paraplegias: identification of a novel SPG57 variant affecting TFG oligomerization and description of HSP subtypes in Sudan.

Authors:  Liena E O Elsayed; Inaam N Mohammed; Ahlam A A Hamed; Maha A Elseed; Adam Johnson; Mathilde Mairey; Hassab Elrasoul S A Mohamed; Mohamed N Idris; Mustafa A M Salih; Sarah M El-Sadig; Mahmoud E Koko; Ashraf Y O Mohamed; Laure Raymond; Marie Coutelier; Frédéric Darios; Rayan A Siddig; Ahmed K M A Ahmed; Arwa M A Babai; Hiba M O Malik; Zulfa M B M Omer; Eman O E Mohamed; Hanan B Eltahir; Nasr Aldin A Magboul; Elfatih E Bushara; Abdelrahman Elnour; Salah M Abdel Rahim; Abdelmoneim Alattaya; Mustafa I Elbashir; Muntaser E Ibrahim; Alexandra Durr; Anjon Audhya; Alexis Brice; Ammar E Ahmed; Giovanni Stevanin
Journal:  Eur J Hum Genet       Date:  2016-09-07       Impact factor: 4.246

Review 9.  Corpus callosum thickness in children: an MR pattern-recognition approach on the midsagittal image.

Authors:  Savvas Andronikou; Tanyia Pillay; Lungile Gabuza; Nasreen Mahomed; Jaishree Naidoo; Linda Tebogo Hlabangana; Vicci du Plessis; Sanjay P Prabhu
Journal:  Pediatr Radiol       Date:  2014-08-31

10.  ZFYVE26/SPASTIZIN and SPG11/SPATACSIN mutations in hereditary spastic paraplegia types AR-SPG15 and AR-SPG11 have different effects on autophagy and endocytosis.

Authors:  Chiara Vantaggiato; Elena Panzeri; Marianna Castelli; Andrea Citterio; Alessia Arnoldi; Filippo Maria Santorelli; Rocco Liguori; Marina Scarlato; Olimpia Musumeci; Antonio Toscano; Emilio Clementi; Maria Teresa Bassi
Journal:  Autophagy       Date:  2018-09-13       Impact factor: 16.016

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