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Wu X, Lin Z, Liu Y, Liu X, Yi Z, Huang X, Zhang J. Analysis of blood concentrations and clinical application of risdiplam in patients with spinal muscular atrophy using ultra-high performance liquid chromatography-tandem mass spectrometry. Biomed Chromatogr 2024; 38:e5934. [PMID: 39010638 DOI: 10.1002/bmc.5934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/24/2024] [Accepted: 05/27/2024] [Indexed: 07/17/2024]
Abstract
Risdiplam, the first oral therapy approved for spinal muscular atrophy and made globally available in 2021, necessitates a highly sensitive and straightforward assay for therapeutic drug monitoring. This is crucial to manage potential toxicities linked to drug concentrations and supervise dosing regimens. A cutting-edge ultra-high performance liquid chromatography-tandem mass spectrometry bioassay for risdiplam in human serum has been developed. In this method, analytes were separated on a Phenomenex Kinetex XB C18 column using a 6.5-min gradient elution after a single-step protein precipitation. MS detection was conducted via electrospray ionization in positive mode with selected reaction monitoring. The validated range for risdiplam was determined to be 1.95-125.00 ng/mL. The precision and accuracy of intra- and inter-batch analyses were within ±15%. The novel method met all other established criteria. This assay holds promise for monitoring drug concentrations and guiding clinical decisions in patients with spinal muscular atrophy.
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Affiliation(s)
- Xian Wu
- Department of Clinical Pharmacy, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
- Department of Pharmacy, Chongqing Medical University, Chongqing, China
| | - Zhiyan Lin
- Department of Clinical Pharmacy, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yan Liu
- Department of Clinical Pharmacy, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xinzhu Liu
- Department of Clinical Pharmacy, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhenghong Yi
- Department of Pharmacy, 363 Hospital, Sichuan, Chengdu, China
| | - Xiaohui Huang
- Department of Clinical Pharmacy, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jian Zhang
- Department of Clinical Pharmacy, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
- Department of Pharmacy, Chongqing Medical University, Chongqing, China
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2
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Zhan Y, Guo J, Hu P, Huang R, Ning J, Bao X, Chen H, Yan Z, Ding L, Shu C. A sensitive analytical strategy of oligonucleotide functionalized fluorescent probes for detection of nusinersen sodium in human serum. Talanta 2024; 275:126153. [PMID: 38692053 DOI: 10.1016/j.talanta.2024.126153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/22/2024] [Accepted: 04/24/2024] [Indexed: 05/03/2024]
Abstract
Spinal muscular atrophy (SMA) is a rare autosomal recessive neuromuscular disease. Nusinersen sodium (NS) is the world's first antisense oligonucleotide (ASO) drug for SMA precise targeted therapy. However, the limited half-life of oligonucleotides and their tendency to accumulate in hepatic and renal tissues presented significant challenges for clinical investigation and therapeutic drug monitoring. In this study, we proposed an analytical strategy based on the specific capture of oligonucleotide functionalized fluorescent probes by single stranded binding proteins (SSB) for ultra-sensitive and high-throughput detection of nusinersen sodium in human serum. The magnetic nanoparticles modified with single-strand binding protein (MNPs-SSB) selectively bonded to the red fluorescent quantum dots functionalized with oligonucleotides (RQDs-ssDNA) that were complementary to nusinersen sodium. Upon interaction with nusinersen sodium, RQDs-ssDNA formed a double-stranded complex (RQDs-ssDNA-NS), resulting in enhanced red fluorescence after magnetic separation as it was no longer captured by MNPs-SSB but remained in the supernatant. A quantitative analysis of nusinersen sodium in biological samples was successfully achieved by establishing a relationship between fluorescence intensity and its concentration. The detection signal F/F0 exhibited a linear correlation (R2 = 0.9871) over a wide range from 0.1 nM to 200 nM, with a limit of detection (LOD) of 0.03 nM, demonstrating the high specificity and rapid analysis time (only 30 min). This method provided a novel approach for sensitive, high-throughput, and specific analysis of nusinersen sodium and similar ASO drugs.
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Affiliation(s)
- Yujuan Zhan
- Key Laboratory of Drug Quality Control and Pharmacovigilance (China Pharmaceutical University), Ministry of Education, Nanjing, 210009, China; Department of Pharmaceutical Analysis, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Jingru Guo
- Key Laboratory of Drug Quality Control and Pharmacovigilance (China Pharmaceutical University), Ministry of Education, Nanjing, 210009, China; Department of Pharmaceutical Analysis, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Penghui Hu
- Key Laboratory of Drug Quality Control and Pharmacovigilance (China Pharmaceutical University), Ministry of Education, Nanjing, 210009, China; Department of Pharmaceutical Analysis, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Ruiyan Huang
- Key Laboratory of Drug Quality Control and Pharmacovigilance (China Pharmaceutical University), Ministry of Education, Nanjing, 210009, China; Department of Pharmaceutical Analysis, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Jiangyue Ning
- Key Laboratory of Drug Quality Control and Pharmacovigilance (China Pharmaceutical University), Ministry of Education, Nanjing, 210009, China; Department of Pharmaceutical Analysis, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Xingyan Bao
- Key Laboratory of Drug Quality Control and Pharmacovigilance (China Pharmaceutical University), Ministry of Education, Nanjing, 210009, China; Department of Pharmaceutical Analysis, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Haotian Chen
- Key Laboratory of Drug Quality Control and Pharmacovigilance (China Pharmaceutical University), Ministry of Education, Nanjing, 210009, China; Department of Pharmaceutical Analysis, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Zelong Yan
- Key Laboratory of Drug Quality Control and Pharmacovigilance (China Pharmaceutical University), Ministry of Education, Nanjing, 210009, China; Department of Pharmaceutical Analysis, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Li Ding
- Key Laboratory of Drug Quality Control and Pharmacovigilance (China Pharmaceutical University), Ministry of Education, Nanjing, 210009, China; Department of Pharmaceutical Analysis, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
| | - Chang Shu
- Key Laboratory of Drug Quality Control and Pharmacovigilance (China Pharmaceutical University), Ministry of Education, Nanjing, 210009, China; Department of Pharmaceutical Analysis, School of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
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Ng QX, Ong C, Chan KE, Ong TSK, Lim IJX, Tang ASP, Chan HW, Koh GCH. Comparative policy analysis of national rare disease funding policies in Australia, Singapore, South Korea, the United Kingdom and the United States: a scoping review. HEALTH ECONOMICS REVIEW 2024; 14:42. [PMID: 38896399 PMCID: PMC11186122 DOI: 10.1186/s13561-024-00519-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/12/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND Rare diseases pose immense challenges for healthcare systems due to their low prevalence, associated disabilities, and attendant treatment costs. Advancements in gene therapy, such as treatments for Spinal Muscular Atrophy (SMA), have introduced novel therapeutic options, but the high costs, exemplified by Zolgensma® at US$2.1 million, present significant financial barriers. This scoping review aimed to compare the funding approaches for rare disease treatments across high-performing health systems in Australia, Singapore, South Korea, the United Kingdom (UK), and the United States (US), aiming to identify best practices and areas for future research. METHODS In accordance with the PRISMA-ScR guidelines and the methodological framework by Arksey and O'Malley and ensuing recommendations, a comprehensive search of electronic databases (Medline, EMBASE, and Cochrane) and grey literature from health department websites and leading national organizations dedicated to rare diseases in these countries was conducted. Countries selected for comparison were high-income countries with advanced economies and high-performing health systems: Australia, Singapore, South Korea, the UK, and the US. The inclusion criteria focused on studies detailing drug approval processes, reimbursement decisions and funding mechanisms, and published from 2010 to 2024. RESULTS Based on a thorough review of 18 published papers and grey literature, various strategies are employed by countries to balance budgetary constraints and access to rare disease treatments. Australia utilizes the Life Saving Drugs Program and risk-sharing agreements. Singapore depends on the Rare Disease Fund, which matches public donations. South Korea's National Health Insurance Service covers specific orphan drugs through risk-sharing agreements. The UK relies on the National Institute for Health and Care Excellence (NICE) to evaluate treatments for cost-effectiveness, supported by the Innovative Medicines Fund. In the US, a combination of federal and state programs, private insurance and non-profit support is used. CONCLUSION Outcome-based risk-sharing agreements present a practical solution for managing the financial strain of costly treatments. These agreements tie payment to actual treatment efficacy, thereby distributing financial risk and promoting ongoing data collection. Countries should consider adopting and expanding these agreements to balance immediate expenses with long-term benefits, ultimately ensuring equitable access to crucial treatments for patients afflicted by rare diseases.
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Affiliation(s)
- Qin Xiang Ng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
| | - Clarence Ong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Kai En Chan
- NUS Yong Loo Lin School of Medicine, National University, Singapore, Singapore
| | | | | | - Ansel Shao Pin Tang
- NUS Yong Loo Lin School of Medicine, National University, Singapore, Singapore
| | - Hwei Wuen Chan
- NUS Yong Loo Lin School of Medicine, National University, Singapore, Singapore
- Department of Ophthalmology, National University Hospital, Singapore, Singapore
| | - Gerald Choon Huat Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- NUS Yong Loo Lin School of Medicine, National University, Singapore, Singapore
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White DS, Dunyak BM, Vaillancourt FH, Hoskins AA. A Sequential Binding Mechanism for 5' Splice Site Recognition and Modulation for the Human U1 snRNP. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.18.590139. [PMID: 38659798 PMCID: PMC11042371 DOI: 10.1101/2024.04.18.590139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Splice site recognition is essential for defining the transcriptome. Drugs like risdiplam and branaplam change how U1 snRNP recognizes particular 5' splice sites (5'SS) and promote U1 snRNP binding and splicing at these locations. Despite the therapeutic potential of 5'SS modulators, the complexity of their interactions and snRNP substrates have precluded defining a mechanism for 5'SS modulation. We have determined a sequential binding mechanism for modulation of -1A bulged 5'SS by branaplam using a combination of ensemble kinetic measurements and colocalization single molecule spectroscopy (CoSMoS). Our mechanism establishes that U1-C protein binds reversibly to U1 snRNP, and branaplam binds to the U1 snRNP/U1-C complex only after it has engaged a -1A bulged 5'SS. Obligate orders of binding and unbinding explain how reversible branaplam interactions cause formation of long-lived U1 snRNP/5'SS complexes. Branaplam is a ribonucleoprotein, not RNA duplex alone, targeting drug whose action depends on fundamental properties of 5'SS recognition.
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Affiliation(s)
- David S. White
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI
- Present Address: Element Biosciences, San Diego, CA
| | | | | | - Aaron A. Hoskins
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI
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Lietsch M, Chan K, Taylor J, Lee BH, Ciafaloni E, Kwon JM, Waldrop MA, Butterfield RJ, Rathore G, Veerapandiyan A, Kapil A, Parsons JA, Gibbons M, Brower A. Long-Term Follow-Up Cares and Check Initiative: A Program to Advance Long-Term Follow-Up in Newborns Identified with a Disease through Newborn Screening. Int J Neonatal Screen 2024; 10:34. [PMID: 38651399 PMCID: PMC11036280 DOI: 10.3390/ijns10020034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 03/23/2024] [Accepted: 04/03/2024] [Indexed: 04/25/2024] Open
Abstract
In the United States and around the world, newborns are screened on a population basis for conditions benefiting from pre-symptomatic diagnosis and treatment. The number of screened conditions continues to expand as novel technologies for screening, diagnosing, treating, and managing disease are discovered. While screening all newborns facilitates early diagnosis and treatment, most screened conditions are treatable but not curable. Patients identified by newborn screening often require lifelong medical management and community support to achieve the best possible outcome. To advance the long-term follow-up of infants identified through newborn screening (NBS), the Long-Term Follow-up Cares and Check Initiative (LTFU-Cares and Check) designed, implemented, and evaluated a system of longitudinal data collection and annual reporting engaging parents, clinical providers, and state NBS programs. The LTFU-Cares and Check focused on newborns identified with spinal muscular atrophy (SMA) through NBS and the longitudinal health information prioritized by parents and families. Pediatric neurologists who care for newborns with SMA entered annual data, and data tracking and visualization tools were delivered to state NBS programs with a participating clinical center. In this publication, we report on the development, use of, and preliminary results from the LTFU-Cares and Check Initiative, which was designed as a comprehensive model of LTFU. We also propose next steps for achieving the goal of a national system of LTFU for individuals with identified conditions by meaningfully engaging public health agencies, clinicians, parents, families, and communities.
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Affiliation(s)
- Mei Lietsch
- American College of Genetics and Genomics, Bethesda, MD 20814, USA; (M.L.); (K.C.); (J.T.)
| | - Kee Chan
- American College of Genetics and Genomics, Bethesda, MD 20814, USA; (M.L.); (K.C.); (J.T.)
| | - Jennifer Taylor
- American College of Genetics and Genomics, Bethesda, MD 20814, USA; (M.L.); (K.C.); (J.T.)
| | - Bo Hoon Lee
- Department of Neurology, University of Rochester, Rochester, NY 14627, USA; (B.H.L.); (E.C.)
| | - Emma Ciafaloni
- Department of Neurology, University of Rochester, Rochester, NY 14627, USA; (B.H.L.); (E.C.)
| | - Jennifer M. Kwon
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53726, USA;
| | - Megan A. Waldrop
- Center for Gene Therapy, Abigail Wexner Research Institute, Nationwide Children’s Hospital, Columbus, OH 43205, USA;
- Department of Neurology and Pediatrics, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Russell J. Butterfield
- Department of Pediatrics and Neurology, University of Utah, Salt Lake City, UT 84132, USA;
| | - Geetanjali Rathore
- Division of Neurology, Department of Pediatrics, University of Nebraska Medical Center, College of Medicine, Omaha, NE 68198, USA;
| | - Aravindhan Veerapandiyan
- Division of Neurology, Department of Pediatrics, University of Arkansas for Medical Sciences, Arkansas Children’s Hospital, Little Rock, AR 72202, USA; (A.V.); (A.K.)
| | - Arya Kapil
- Division of Neurology, Department of Pediatrics, University of Arkansas for Medical Sciences, Arkansas Children’s Hospital, Little Rock, AR 72202, USA; (A.V.); (A.K.)
| | - Julie A. Parsons
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA; (J.A.P.); (M.G.)
| | - Melissa Gibbons
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA; (J.A.P.); (M.G.)
| | - Amy Brower
- American College of Genetics and Genomics, Bethesda, MD 20814, USA; (M.L.); (K.C.); (J.T.)
- Genetic Medicine, University of Nebraska Medical Center, Omaha, NE 68198, USA
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Lauffer MC, van Roon-Mom W, Aartsma-Rus A. Possibilities and limitations of antisense oligonucleotide therapies for the treatment of monogenic disorders. COMMUNICATIONS MEDICINE 2024; 4:6. [PMID: 38182878 PMCID: PMC10770028 DOI: 10.1038/s43856-023-00419-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 11/27/2023] [Indexed: 01/07/2024] Open
Abstract
Antisense oligonucleotides (ASOs) are incredibly versatile molecules that can be designed to specifically target and modify RNA transcripts to slow down or halt rare genetic disease progression. They offer the potential to target groups of patients or can be tailored for individual cases. Nonetheless, not all genetic variants and disorders are amenable to ASO-based treatments, and hence, it is important to consider several factors before embarking on the drug development journey. Here, we discuss which genetic disorders have the potential to benefit from a specific type of ASO approach, based on the pathophysiology of the disease and pathogenic variant type, as well as those disorders that might not be suitable for ASO therapies. We further explore additional aspects, such as the target tissues, intervention time points, and potential clinical benefits, which need to be considered before developing a compound. Overall, we provide an overview of the current potentials and limitations of ASO-based therapeutics for the treatment of monogenic disorders.
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Affiliation(s)
- Marlen C Lauffer
- Dutch Center for RNA Therapeutics, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Willeke van Roon-Mom
- Dutch Center for RNA Therapeutics, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Annemieke Aartsma-Rus
- Dutch Center for RNA Therapeutics, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
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Clay I, Peerenboom N, Connors DE, Bourke S, Keogh A, Wac K, Gur-Arie T, Baker J, Bull C, Cereatti A, Cormack F, Eggenspieler D, Foschini L, Ganea R, Groenen PM, Gusset N, Izmailova E, Kanzler CM, Leyens L, Lyden K, Mueller A, Nam J, Ng WF, Nobbs D, Orfaniotou F, Perumal TM, Piwko W, Ries A, Scotland A, Taptiklis N, Torous J, Vereijken B, Xu S, Baltzer L, Vetter T, Goldhahn J, Hoffmann SC. Reverse Engineering of Digital Measures: Inviting Patients to the Conversation. Digit Biomark 2023; 7:28-44. [PMID: 37206894 PMCID: PMC10189241 DOI: 10.1159/000530413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 03/07/2023] [Indexed: 05/21/2023] Open
Abstract
Background Digital measures offer an unparalleled opportunity to create a more holistic picture of how people who are patients behave in their real-world environments, thereby establishing a better connection between patients, caregivers, and the clinical evidence used to drive drug development and disease management. Reaching this vision will require achieving a new level of co-creation between the stakeholders who design, develop, use, and make decisions using evidence from digital measures. Summary In September 2022, the second in a series of meetings hosted by the Swiss Federal Institute of Technology in Zürich, the Foundation for the National Institutes of Health Biomarkers Consortium, and sponsored by Wellcome Trust, entitled "Reverse Engineering of Digital Measures," was held in Zurich, Switzerland, with a broad range of stakeholders sharing their experience across four case studies to examine how patient centricity is essential in shaping development and validation of digital evidence generation tools. Key Messages In this paper, we discuss progress and the remaining barriers to widespread use of digital measures for evidence generation in clinical development and care delivery. We also present key discussion points and takeaways in order to continue discourse and provide a basis for dissemination and outreach to the wider community and other stakeholders. The work presented here shows us a blueprint for how and why the patient voice can be thoughtfully integrated into digital measure development and that continued multistakeholder engagement is critical for further progress.
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Affiliation(s)
| | | | | | | | - Alison Keogh
- Insight Centre for Data Analytics, UC Dublin, Dublin, Ireland
- Mobilise-D, Newcastle University, Newcastle upon Tyne, UK
| | - Katarzyna Wac
- Quality of Life Lab, University of Geneva, Geneva, Switzerland
| | - Tova Gur-Arie
- Mobilise-D, Newcastle University, Newcastle upon Tyne, UK
| | | | - Christopher Bull
- Newcastle University, Newcastle, UK
- IDEA-FAST, Newcastle University, Newcastle upon Tyne, UK
| | - Andrea Cereatti
- Mobilise-D, Newcastle University, Newcastle upon Tyne, UK
- Polytechnic University of Torino, Torino, Italy
| | - Francesca Cormack
- IDEA-FAST, Newcastle University, Newcastle upon Tyne, UK
- Cambridge Cognition Ltd, Cambridge, UK
| | | | | | | | | | | | | | | | | | | | - Arne Mueller
- Mobilise-D, Newcastle University, Newcastle upon Tyne, UK
- Novartis, Basel, Switzerland
| | - Julian Nam
- F. Hoffmann-La Roche, Basel, Switzerland
| | - Wan-Fai Ng
- Newcastle University, Newcastle, UK
- IDEA-FAST, Newcastle University, Newcastle upon Tyne, UK
| | - David Nobbs
- IDEA-FAST, Newcastle University, Newcastle upon Tyne, UK
- F. Hoffmann-La Roche, Basel, Switzerland
| | | | | | - Wojciech Piwko
- Takeda Pharmaceuticals International, Zurich, Switzerland
| | - Anja Ries
- F. Hoffmann-La Roche, Basel, Switzerland
| | - Alf Scotland
- Biogen Digital Health International GmbH, Baar, Switzerland
| | - Nick Taptiklis
- IDEA-FAST, Newcastle University, Newcastle upon Tyne, UK
- Cambridge Cognition Ltd, Cambridge, UK
| | | | - Beatrix Vereijken
- Mobilise-D, Newcastle University, Newcastle upon Tyne, UK
- Norwegian University of Science and Technology, Trondheim, Norway
| | | | | | | | - Jörg Goldhahn
- Swiss Federal Institute of Technology, Zurich, Switzerland
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Glascock J, Darras BT, Crawford TO, Sumner CJ, Kolb SJ, DiDonato C, Elsheikh B, Howell K, Farwell W, Valente M, Petrillo M, Tingey J, Jarecki J. Identifying Biomarkers of Spinal Muscular Atrophy for Further Development. J Neuromuscul Dis 2023; 10:937-954. [PMID: 37458045 PMCID: PMC10578234 DOI: 10.3233/jnd-230054] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2023] [Indexed: 07/18/2023]
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.
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Affiliation(s)
| | - Basil T. Darras
- Boston Children’s Hospital/Harvard Medical School, Boston, MA, USA
| | - Thomas O. Crawford
- Johns Hopkins University School of Medicine Departments of Neurology and Neuroscience, Department of Neurology and Pediatrics, Baltimore, MD, USA
| | - Charlotte J. Sumner
- Johns Hopkins University School of Medicine Departments of Neurology and Neuroscience, Department of Neurology and Pediatrics, Baltimore, MD, USA
| | - Stephen J. Kolb
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
- Department of Biological Chemistry & Pharmacology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | | | - Bakri Elsheikh
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Kelly Howell
- Spinal Muscular Atrophy Foundation, Jackson, WY, USA
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