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Kiselev A, Maretina M, Shtykalova S, Al-Hilal H, Maslyanyuk N, Plokhih M, Serebryakova E, Frolova M, Shved N, Krylova N, Il’ina A, Freund S, Osinovskaya N, Sultanov I, Egorova A, Lobenskaya A, Koroteev A, Sosnina I, Gorelik Y, Bespalova O, Baranov V, Kogan I, Glotov A. Establishment of a Pilot Newborn Screening Program for Spinal Muscular Atrophy in Saint Petersburg. Int J Neonatal Screen 2024; 10:9. [PMID: 38390973 PMCID: PMC10885106 DOI: 10.3390/ijns10010009] [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: 12/14/2023] [Revised: 01/16/2024] [Accepted: 01/22/2024] [Indexed: 02/24/2024] Open
Abstract
Spinal muscular atrophy 5q (SMA) is one of the most common neuromuscular inherited diseases and is the most common genetic cause of infant mortality. SMA is associated with homozygous deletion of exon 7 in the SMN1 gene. Recently developed drugs can improve the motor functions of infants with SMA when they are treated in the pre-symptomatic stage. With aim of providing an early diagnosis, newborn screening (NBS) for SMA using a real-time PCR assay with dried blood spots (DBS) was performed from January 2022 through November 2022 in Saint Petersburg, which is a representative Russian megapolis. Here, 36,140 newborns were screened by the GenomeX real-time PCR-based screening test, and three genotypes were identified: homozygous deletion carriers (4 newborns), heterozygous carriers (772 newborns), and wild-type individuals (35,364 newborns). The disease status of all four newborns that screened positive for the homozygous SMN1 deletion was confirmed by alternate methods. Two of the newborns had two copies of SMN2, and two of the newborns had three copies. We determined the incidence of spinal muscular atrophy in Saint Petersburg to be 1 in 9035 and the SMA carrier frequency to be 1 in 47. In conclusion, providing timely information regarding SMN1, confirmation of disease status, and SMN2 copy number as part of the SMA newborn-screening algorithm can significantly improve clinical follow-up, testing of family members, and treatment of patients with SMA.
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Affiliation(s)
- Anton Kiselev
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Marianna Maretina
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Sofia Shtykalova
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Haya Al-Hilal
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Natalia Maslyanyuk
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Mariya Plokhih
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Elena Serebryakova
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
- Saint Petersburg State Medical Diagnostic Center (Genetic Medical Center), Tobolskaya Street 5, 353912 Saint Petersburg, Russia; (M.F.); (A.L.); (A.K.)
| | - Marina Frolova
- Saint Petersburg State Medical Diagnostic Center (Genetic Medical Center), Tobolskaya Street 5, 353912 Saint Petersburg, Russia; (M.F.); (A.L.); (A.K.)
| | - Natalia Shved
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Nadezhda Krylova
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Arina Il’ina
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Svetlana Freund
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Natalia Osinovskaya
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Iskender Sultanov
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Anna Egorova
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Anastasia Lobenskaya
- Saint Petersburg State Medical Diagnostic Center (Genetic Medical Center), Tobolskaya Street 5, 353912 Saint Petersburg, Russia; (M.F.); (A.L.); (A.K.)
| | - Alexander Koroteev
- Saint Petersburg State Medical Diagnostic Center (Genetic Medical Center), Tobolskaya Street 5, 353912 Saint Petersburg, Russia; (M.F.); (A.L.); (A.K.)
| | - Irina Sosnina
- Saint Petersburg State Budgetary Healthcare Institution “Consulting and Diagnostic Center for Children”, Aleksa Dundić Street 36/2, 192289 Saint Petersburg, Russia;
| | - Yulia Gorelik
- Children’s City Multidisciplinary Clinical Specialized Center of High Medical Technologies, Avangardnaya Street 14, 198205 Saint Petersburg, Russia;
| | - Olesya Bespalova
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Vladislav Baranov
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Igor Kogan
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
| | - Andrey Glotov
- Department of Genomic Medicine Named after V.S. Baranov, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia; (M.M.); (S.S.); (H.A.-H.); (N.M.); (M.P.); (E.S.); (N.S.); (N.K.); (A.I.); (S.F.); (I.S.); (A.E.); (O.B.); (I.K.); (A.G.)
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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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Song H, Yang J, Yu W. Promoter Hypomethylation of TGFBR3 as a Risk Factor of Alzheimer’s Disease: An Integrated Epigenomic-Transcriptomic Analysis. Front Cell Dev Biol 2022; 9:825729. [PMID: 35310542 PMCID: PMC8924075 DOI: 10.3389/fcell.2021.825729] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 12/29/2021] [Indexed: 11/13/2022] Open
Abstract
Alzheimer’s disease (AD) is characterized by the abnormal deposition of amyloid-β (Aβ) plaques and tau tangles in the brain and accompanied with cognitive impairment. However, the fundamental cause of this disease remains elusive. To elucidate the molecular processes related to AD, we carried out an integrated analysis utilizing gene expression microarrays (GSE36980 and GSE5281) and DNA methylation microarray (GSE66351) in temporal cortex of AD patients from the Gene Expression Omnibus (GEO) database. We totally discovered 409 aberrantly methylated and differentially expressed genes. These dysregulated genes were significantly enriched in biological processes including cell part morphogenesis, chemical synaptic transmission and regulation of Aβ formation. Through convergent functional genomic (CFG) analysis, expression cross-validation and clinicopathological correlation analysis, higher TGFBR3 level was observed in AD and positively correlated with Aβ accumulation. Meanwhile, the promoter methylation level of TGFBR3 was reduced in AD and negatively associated with Aβ level and advanced Braak stage. Mechanically, TGFBR3 might promote Aβ production by enhancing β- and γ-secretase activities. Further investigation revealed that TGFBR3 may exert its functions via Synaptic vesicle cycle, Calcium signaling pathway and MAPK signal pathway by regulating hub genes GNB1, GNG3, CDC5L, DYNC1H1 and FBXW7. Overall, our findings highlighted TGFBR3 as an AD risk gene and might be used as a diagnostic biomarker and therapeutic target for AD treatment.
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Affiliation(s)
- Hui Song
- Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education and Key Laboratory of Medical Molecular Biology of Guizhou Province, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China
| | - Jue Yang
- The State Key Laboratory of Functions and Applications of Medicinal Plants, Guizhou Medical University, Guiyang, China
- The Key Laboratory of Chemistry for Natural Products of Guizhou Province and Chinese Academic of Sciences, Guiyang, China
| | - Wenfeng Yu
- Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education and Key Laboratory of Medical Molecular Biology of Guizhou Province, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China
- *Correspondence: Wenfeng Yu,
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Maretina MA, Valetdinova KR, Tsyganova NA, Egorova AA, Ovechkina VS, Schiöth HB, Zakian SM, Baranov VS, Kiselev AV. Identification of specific gene methylation patterns during motor neuron differentiation from spinal muscular atrophy patient-derived iPSC. Gene 2022; 811:146109. [PMID: 34871761 DOI: 10.1016/j.gene.2021.146109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 05/08/2021] [Accepted: 11/16/2021] [Indexed: 11/04/2022]
Abstract
Spinal muscular atrophy is a progressive motor neuron disorder caused by deletions or point mutations in the SMN1 gene. It is not known why motor neurons are particularly sensitive to a decrease in SMN protein levels and what factors besides SMN2 underlie the high clinical heterogeneity of the disease. Here we studied the methylation patterns of genes on sequential stages of motor neuron differentiation from induced pluripotent stem cells derived from the patients with SMA type I and II. The genes involved in the regulation of pluripotency, neural differentiation as well as those associated with spinal muscular atrophy development were included. The results show that the PAX6, HB9, CHAT, ARHGAP22, and SMN2 genes are differently methylated in cells derived from SMA patients compared to the cells of healthy individuals. This study clarifies the specificities of the disease pathogenesis and extends the knowledge of pathways involved in the SMA progression.
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Affiliation(s)
- M A Maretina
- D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, 199034 Saint-Petersburg, Russia
| | - K R Valetdinova
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novsibirsk, Russia
| | - N A Tsyganova
- D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, 199034 Saint-Petersburg, Russia
| | - A A Egorova
- D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, 199034 Saint-Petersburg, Russia
| | - V S Ovechkina
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novsibirsk, Russia; Novosibirsk State University, 630090 Novosibirsk, Russia
| | - H B Schiöth
- Department of Neuroscience, Functional Pharmacology, Uppsala University, S-75124 Uppsala, Sweden; Sechenov First Moscow State Medical University, 119991 Moscow, Russia
| | - S M Zakian
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novsibirsk, Russia; Meshalkin National Medical Research Center, Ministry of Healthcare of the Russian Federation, 630055 Novosibirsk, Russia
| | - V S Baranov
- D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, 199034 Saint-Petersburg, Russia
| | - A V Kiselev
- D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, 199034 Saint-Petersburg, Russia.
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Pino MG, Rich KA, Kolb SJ. Update on Biomarkers in Spinal Muscular Atrophy. Biomark Insights 2021; 16:11772719211035643. [PMID: 34421296 PMCID: PMC8371741 DOI: 10.1177/11772719211035643] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/07/2021] [Indexed: 11/25/2022] Open
Abstract
The availability of disease modifying therapies for spinal muscular atrophy (SMA) has created an urgent need to identify clinically meaningful biomarkers. Biomarkers present a means to measure and evaluate neurological disease across time. Changes in biomarkers provide insight into disease progression and may reveal biologic, physiologic, or pharmacologic phenomena occurring prior to clinical detection. Efforts to identify biomarkers for SMA, a genetic motor neuron disease characterized by motor neuron degeneration and weakness, have culminated in a number of putative molecular and physiologic markers that evaluate biological media (eg, blood and cerebrospinal fluid [CSF]) or nervous system function. Such biomarkers include SMN2 copy number, SMN mRNA and protein levels, neurofilament proteins (NFs), plasma protein analytes, creatine kinase (CK) and creatinine (Crn), and various electrophysiology and imaging measures. SMN2 copy number inversely correlates with disease severity and is the best predictor of clinical outcome in untreated individuals. SMN mRNA and protein are commonly measured in the blood or CSF of patients receiving SMA therapies, particularly those aimed at increasing SMN protein expression, and provide insight into current disease state. NFs have proven to be robust prognostic, disease progression, and pharmacodynamic markers for SMA infants undergoing treatment, but less so for adolescents and adults. Select plasma proteins are altered in SMA individuals and may track response to therapy. CK and Crn from blood correlate with motor function and disease severity status and are useful for predicting which individuals will respond to therapy. Electrophysiology measures comprise the most reliable means for monitoring motor function throughout disease course and are sensitive enough to detect neuromuscular changes before overt clinical manifestation, making them robust predictive and pharmacodynamic biomarkers. Finally, magnetic resonance imaging and muscle ultrasonography are non-invasive techniques for studying muscle structure and physiology and are useful diagnostic tools, but cannot reliably track disease progression. Importantly, biomarkers can provide information about the underlying mechanisms of disease as well as reveal subclinical disease progression, allowing for more appropriate timing and dosing of therapy for individuals with SMA. Recent therapeutic advancements in SMA have shown promising results, though there is still a great need to identify and understand the impact of biomarkers in modulating disease onset and progression.
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Affiliation(s)
- Megan G Pino
- Department of Neurology, The Ohio State
University Wexner Medical Center, Columbus, OH, USA
| | - Kelly A Rich
- Department of Neurology, The Ohio State
University Wexner Medical Center, Columbus, OH, USA
| | - Stephen J Kolb
- Department of Neurology, The Ohio State
University Wexner Medical Center, Columbus, OH, USA
- Department of Biological Chemistry and
Pharmacology, The Ohio State University Wexner Medical Center, Columbus, OH,
USA
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Abstract
Neuromuscular disorders are a heterogeneous group of conditions affecting the neuromuscular system. The aim of this article is to review the major epigenetic findings in motor neuron diseases and major hereditary muscular dystrophies. DNA methylation changes are observed in both hereditary and sporadic forms, and combining DNA methylation analysis with mutational screening holds the potential for better diagnostic and prognostic accuracy. Novel, less toxic and more selective epigenetic drugs are designed and tested in animal and cell culture models of neuromuscular disorders, and non-coding RNAs are being investigated as either disease biomarkers or targets of therapeutic approaches to restore gene expression levels. Overall, neuromuscular disorder epigenetic biomarkers have a strong potential for clinical applications in the near future.
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Affiliation(s)
- Fabio Coppedè
- Department of Translational Research & of New Surgical & Medical Technologies, University of Pisa, Via Roma 55, 56126 Pisa, Italy
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Viollet LM, Swoboda KJ, Mao R, Best H, Ha Y, Toutain A, Guyant-Marechal L, Laroche-Raynaud C, Ghorab K, Barthez MA, Pedespan JM, Hernandorena X, Lia AS, Deleuze JF, Masson C, Nelson I, Nectoux J, Si Y. A novel pathogenic variant in DYNC1H1 causes various upper and lower motor neuron anomalies. Eur J Med Genet 2020; 63:104063. [PMID: 32947049 DOI: 10.1016/j.ejmg.2020.104063] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 08/31/2020] [Accepted: 09/08/2020] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To perform genotype-phenotype, clinical and molecular analysis in a large 3-generation family with autosomal dominant congenital spinal muscular atrophy. METHODS Using a combined genetic approach including whole genome scanning, next generation sequencing-based multigene panel, whole genome sequencing, and targeted variant Sanger sequencing, we studied the proband and multiple affected individuals of this family who presented bilateral proximal lower limb muscle weakness and atrophy. RESULTS We identified a novel heterozygous variant, c.1826T > C; p.Ile609Thr, in the DYNC1H1 gene localized within the common haplotype in the 14q32.3 chromosomal region which cosegregated with disease in this large family. Within the family, affected individuals were found to have a wide array of clinical variability. Although some individuals presented the typical lower motor neuron phenotype with areflexia and denervation, others presented with muscle weakness and atrophy, hyperreflexia, and absence of denervation suggesting a predominant upper motor neuron disease. In addition, some affected individuals presented with an intermediate phenotype characterized by hyperreflexia and denervation, expressing a combination of lower and upper motor neuron defects. CONCLUSION Our study demonstrates the wide clinical variability associated with a single disease causing variant in DYNC1H1 gene and this variant demonstrated a high penetrance within this large family.
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Affiliation(s)
- Louis M Viollet
- Pediatric Motor Disorders Research Program and Department of Medical Genetics/Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA.
| | - Kathryn J Swoboda
- Pediatric Motor Disorders Research Program, University of Utah School of Medicine, Salt Lake City, UT and Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
| | - Rong Mao
- ARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories and Departments of Pathology and Medical Genetics/Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA.
| | - Hunter Best
- ARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories and Departments of Pathology and Medical Genetics/Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA.
| | - Youna Ha
- ARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories, Salt Lake City, UT, USA.
| | | | | | | | | | | | | | | | - Anne-Sophie Lia
- Biochimie et Genetique Moleculaire, Hopital Dupuytren, Limoges, France.
| | | | - Cecile Masson
- Institut Imagine, Hopital Necker Enfants Malades, Paris, France.
| | | | - Juliette Nectoux
- Biochimie et Genetique Moleculaire, Hopital Cochin, Paris, France.
| | - Yue Si
- ARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories and Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA; Clinical Genomics Program, GeneDx, MD, USA.
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Amabile S, Jeffries L, McGrath JM, Ji W, Spencer-Manzon M, Zhang H, Lakhani SA. DYNC1H1-related disorders: A description of four new unrelated patients and a comprehensive review of previously reported variants. Am J Med Genet A 2020; 182:2049-2057. [PMID: 32656949 DOI: 10.1002/ajmg.a.61729] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 05/06/2020] [Accepted: 05/19/2020] [Indexed: 11/05/2022]
Abstract
Heterozygous variants in the DYNC1H1 gene have been associated chiefly with intellectual disability (ID), malformations in cortical development (MCD), spinal muscular atrophy (SMA), and Charcot-Marie-Tooth axonal type 20 (CMT), with fewer reports describing other intersecting phenotypes. To better characterize the variable syndromes associated with DYNC1H1, we undertook a detailed analysis of reported patients in the medical literature through June 30, 2019. In sum we identified 200 patients from 143 families harboring 103 different DYNC1H1 variants, and added reports for four unrelated patients identified at our center, three with novel variants. The most common features associated with DYNC1H1 were neuromuscular (NM) disease (largely associated with variants in the stem domain), ID with MCD (largely associated with variants in the motor domain), or a combination of these phenotypes. Despite these trends, exceptions are noted throughout. Overall, DYNC1H1 is associated with variable neurodevelopmental and/or neuromuscular phenotypes that overlap. To avoid confusion DYNC1H1 disorders may be best categorized at this time by more general descriptions rather than phenotype-specific nomenclature such as SMA or CMT. We therefore propose the terms: DYNC1H1-related NM disorder, DYNC1H1-related CNS disorder, and DYNC1H1-related combined disorder. Our single center's experience may be evidence that disease-causing variants in this gene are more prevalent than currently recognized.
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Affiliation(s)
- Sonia Amabile
- Department of Pediatrics, Pediatric Genomics Discovery Program, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Lauren Jeffries
- Department of Pediatrics, Pediatric Genomics Discovery Program, Yale University School of Medicine, New Haven, Connecticut, USA
| | - James M McGrath
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Weizhen Ji
- Department of Pediatrics, Pediatric Genomics Discovery Program, Yale University School of Medicine, New Haven, Connecticut, USA
| | | | - Hui Zhang
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Saquib A Lakhani
- Department of Pediatrics, Pediatric Genomics Discovery Program, Yale University School of Medicine, New Haven, Connecticut, USA
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Martin PB, Hicks AN, Holbrook SE, Cox GA. Overlapping spectrums: The clinicogenetic commonalities between Charcot-Marie-Tooth and other neurodegenerative diseases. Brain Res 2020; 1727:146532. [PMID: 31678418 PMCID: PMC6939129 DOI: 10.1016/j.brainres.2019.146532] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 10/20/2019] [Accepted: 10/22/2019] [Indexed: 12/11/2022]
Abstract
Charcot-Marie-Tooth (CMT) disease is a progressive and heterogeneous inherited peripheral neuropathy. A myriad of genetic factors have been identified that contribute to the degeneration of motor and sensory axons in a length-dependent manner. Emerging biological themes underlying disease include defects in axonal trafficking, dysfunction in RNA metabolism and protein homeostasis, as well deficits in the cellular stress response. Moreover, genetic contributions to CMT can have overlap with other neuropathies, motor neuron diseases (MNDs) and neurodegenerative disorders. Recent progress in understanding the molecular biology of CMT and overlapping syndromes aids in the search for necessary therapeutic targets.
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Affiliation(s)
- Paige B Martin
- The Jackson Laboratory, Bar Harbor, ME 04609, USA; Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME 04469, USA
| | - Amy N Hicks
- The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | - Sarah E Holbrook
- The Jackson Laboratory, Bar Harbor, ME 04609, USA; Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME 04469, USA
| | - Gregory A Cox
- The Jackson Laboratory, Bar Harbor, ME 04609, USA; Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME 04469, USA.
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Kariyawasam DST, D'Silva A, Lin C, Ryan MM, Farrar MA. Biomarkers and the Development of a Personalized Medicine Approach in Spinal Muscular Atrophy. Front Neurol 2019; 10:898. [PMID: 31481927 PMCID: PMC6709682 DOI: 10.3389/fneur.2019.00898] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 08/02/2019] [Indexed: 12/11/2022] Open
Abstract
Recent unprecedented advances in treatment for spinal muscular atrophy (SMA) enabled patients to access the first approved disease modifying therapy for the condition. There are however many uncertainties, regarding timing of treatment initiation, response to intervention, treatment effects and long-term outcomes, which are complicated by the evolving phenotypes seen in the post-treatment era for patients with SMA. Biomarkers of disease, with diagnostic, prognostic, predictive, and pharmacodynamic value are thus urgently required, to facilitate a wider understanding in this dynamic landscape. A spectrum of these candidate biomarkers, will be evaluated in this review, including genetic, epigenetic, proteomic, electrophysiological, and imaging measures. Of these, SMN2 appears to be the most significant modifier of phenotype to date, and its use in prognostication shows considerable clinical utility. Longitudinal studies in patients with SMA highlight an emerging role of circulatory markers such as neurofilament, in tracking disease progression and response to treatment. Furthermore, neurophysiological biomarkers such as CMAP and MUNE values show considerable promise in the real word setting, in following the dynamic response and output of the motor unit to therapeutic intervention. The specific value for these possible biomarkers across diagnosis, prognosis, prediction of treatment response, efficacy, and safety will be central to guide future patient-targeted treatments, the design of clinical trials, and understanding of the pathophysiological mechanisms of disease and intervention.
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Affiliation(s)
- Didu S T Kariyawasam
- Department of Neurology, Sydney Children's Hospital, Sydney, NSW, Australia.,School of Women's and Children's Health, University of New South Wales Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Arlene D'Silva
- School of Women's and Children's Health, University of New South Wales Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Cindy Lin
- Department of Neurophysiology, Brain and Mind Center, University of Sydney, Sydney, NSW, Australia
| | - Monique M Ryan
- Department of Neurology, Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Michelle A Farrar
- Department of Neurology, Sydney Children's Hospital, Sydney, NSW, Australia.,School of Women's and Children's Health, University of New South Wales Medicine, University of New South Wales, Sydney, NSW, Australia
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