Identifying Biomarkers of Spinal Muscular Atrophy for Further Development

Author:

Glascock Jacqueline1,Darras Basil T.2,Crawford Thomas O.3,Sumner Charlotte J.3,Kolb Stephen J.45,DiDonato Christine6,Elsheikh Bakri4,Howell Kelly7,Farwell Wildon8,Valente Marta8,Petrillo Marco8,Tingey Jessica1,Jarecki Jill1

Affiliation:

1. Cure SMA, Elk Grove Village, IL, USA

2. Boston Children’s Hospital/Harvard Medical School, Boston, MA, USA

3. Johns Hopkins University School of Medicine Departments of Neurology and Neuroscience, Department of Neurology and Pediatrics, Baltimore, MD, USA

4. Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, USA

5. Department of Biological Chemistry & Pharmacology, The Ohio State University Wexner Medical Center, Columbus, OH, USA

6. Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA

7. Spinal Muscular Atrophy Foundation, Jackson, WY, USA

8. Biogen, Cambridge, MA, USA

Abstract

Background: Spinal muscular atrophy (SMA) is caused by bi-allelic, recessive mutations of the survival motor neuron 1 (SMN1) gene and reduced expression levels of the survival motor neuron (SMN) protein. Degeneration of alpha motor neurons in the spinal cord causes progressive skeletal muscle weakness. The wide range of disease severities, variable rates of decline, and heterogenous clinical responses to approved disease-modifying treatment remain poorly understood and limit the ability to optimize treatment for patients. Validation of a reliable biomarker(s) with the potential to support early diagnosis, inform disease prognosis and therapeutic suitability, and/or confirm response to treatment(s) represents a significant unmet need in SMA. Objectives: The SMA Multidisciplinary Biomarkers Working Group, comprising 11 experts in a variety of relevant fields, sought to determine the most promising candidate biomarker currently available, determine key knowledge gaps, and recommend next steps toward validating that biomarker for SMA. Methods: The Working Group engaged in a modified Delphi process to answer questions about candidate SMA biomarkers. Members participated in six rounds of reiterative surveys that were designed to build upon previous discussions. Results: The Working Group reached a consensus that neurofilament (NF) is the candidate biomarker best poised for further development. Several important knowledge gaps were identified, and the next steps toward filling these gaps were proposed. Conclusions: NF is a promising SMA biomarker with the potential for prognostic, predictive, and pharmacodynamic capabilities. The Working Group has identified needed information to continue efforts toward the validation of NF as a biomarker for SMA.

Publisher

IOS Press

Subject

Neurology (clinical),Neurology

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3