Literature DB >> 27870126

Discovery of Therapeutic Approaches for Polyglutamine Diseases: A Summary of Recent Efforts.

Sofia Esteves1,2, Sara Duarte-Silva1,2, Patrícia Maciel1,2.   

Abstract

Polyglutamine (PolyQ) diseases are a group of neurodegenerative disorders caused by the expansion of cytosine-adenine-guanine (CAG) trinucleotide repeats in the coding region of specific genes. This leads to the production of pathogenic proteins containing critically expanded tracts of glutamines. Although polyQ diseases are individually rare, the fact that these nine diseases are irreversibly progressive over 10 to 30 years, severely impairing and ultimately fatal, usually implicating the full-time patient support by a caregiver for long time periods, makes their economic and social impact quite significant. This has led several researchers worldwide to investigate the pathogenic mechanism(s) and therapeutic strategies for polyQ diseases. Although research in the field has grown notably in the last decades, we are still far from having an effective treatment to offer patients, and the decision of which compounds should be translated to the clinics may be very challenging. In this review, we provide a comprehensive and critical overview of the most recent drug discovery efforts in the field of polyQ diseases, including the most relevant findings emerging from two different types of approaches-hypothesis-based candidate molecule testing and hypothesis-free unbiased drug screenings. We hereby summarize and reflect on the preclinical studies as well as all the clinical trials performed to date, aiming to provide a useful framework for increasingly successful future drug discovery and development efforts.
© 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  clinical trials; polyglutamine diseases; preclinical trials; therapeutic strategies

Mesh:

Substances:

Year:  2016        PMID: 27870126     DOI: 10.1002/med.21425

Source DB:  PubMed          Journal:  Med Res Rev        ISSN: 0198-6325            Impact factor:   12.944


  9 in total

Review 1.  Targeting Hsp70 facilitated protein quality control for treatment of polyglutamine diseases.

Authors:  Amanda K Davis; William B Pratt; Andrew P Lieberman; Yoichi Osawa
Journal:  Cell Mol Life Sci       Date:  2019-09-24       Impact factor: 9.261

2.  Precise Excision of the CAG Tract from the Huntingtin Gene by Cas9 Nickases.

Authors:  Magdalena Dabrowska; Wojciech Juzwa; Wlodzimierz J Krzyzosiak; Marta Olejniczak
Journal:  Front Neurosci       Date:  2018-02-26       Impact factor: 4.677

Review 3.  The Ubiquitination, Disaggregation and Proteasomal Degradation Machineries in Polyglutamine Disease.

Authors:  Samir R Nath; Andrew P Lieberman
Journal:  Front Mol Neurosci       Date:  2017-03-22       Impact factor: 5.639

4.  Structural insights into synthetic ligands targeting A-A pairs in disease-related CAG RNA repeats.

Authors:  Sanjukta Mukherjee; Leszek Błaszczyk; Wojciech Rypniewski; Christoph Falschlunger; Ronald Micura; Asako Murata; Chikara Dohno; Kazuhiko Nakatani; Agnieszka Kiliszek
Journal:  Nucleic Acids Res       Date:  2019-11-18       Impact factor: 16.971

5.  Universal RNAi Triggers for the Specific Inhibition of Mutant Huntingtin, Atrophin-1, Ataxin-3, and Ataxin-7 Expression.

Authors:  Anna Kotowska-Zimmer; Yuliya Ostrovska; Marta Olejniczak
Journal:  Mol Ther Nucleic Acids       Date:  2019-12-18       Impact factor: 8.886

6.  Pueraria lobata and Daidzein Reduce Cytotoxicity by Enhancing Ubiquitin-Proteasome System Function in SCA3-iPSC-Derived Neurons.

Authors:  I-Cheng Chen; Kuo-Hsuan Chang; Yi-Jing Chen; Yi-Chun Chen; Guey-Jen Lee-Chen; Chiung-Mei Chen
Journal:  Oxid Med Cell Longev       Date:  2019-10-07       Impact factor: 6.543

7.  Aripiprazole Offsets Mutant ATXN3-Induced Motor Dysfunction by Targeting Dopamine D2 and Serotonin 1A and 2A Receptors in C. elegans.

Authors:  Ana Jalles; Cármen Vieira; Joana Pereira-Sousa; Daniela Vilasboas-Campos; Ana Francisca Mota; Sara Vasconcelos; Bruna Ferreira-Lomba; Marta Daniela Costa; Jorge Diogo Da Silva; Patrícia Maciel; Andreia Teixeira-Castro
Journal:  Biomedicines       Date:  2022-02-03

8.  Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 3.

Authors:  Danlei Ru; Jinchen Li; Ouyi Xie; Linliu Peng; Hong Jiang; Rong Qiu
Journal:  Front Neuroinform       Date:  2022-08-30       Impact factor: 3.739

9.  Cerebellar lncRNA Expression Profile Analysis of SCA3/MJD Mice.

Authors:  Zhe Long; Tianjiao Li; Zhao Chen; Yun Peng; Chunrong Wang; Xiaocan Hou; Hongyu Yuan; Puzhi Wang; Yue Xie; Lang He; Xin Zhou; Huirong Peng; Rong Qiu; Kun Xia; Beisha Tang; Hong Jiang
Journal:  Int J Genomics       Date:  2018-06-25       Impact factor: 2.326

  9 in total

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