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Sanga S, Chakraborty S, Bardhan M, Polavarapu K, Kumar VP, Bhattacharya C, Nashi S, Vengalil S, Geetha TS, Ramprasad V, Nalini A, Basu A, Acharya M. Identification of a shared, common haplotype segregating with an SGCB c.544 T > G mutation in Indian patients affected with sarcoglycanopathy. Sci Rep 2023; 13:15095. [PMID: 37699968 PMCID: PMC10497502 DOI: 10.1038/s41598-023-41487-6] [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: 04/19/2023] [Accepted: 08/28/2023] [Indexed: 09/14/2023] Open
Abstract
Sarcoglycanopathy is the most frequent form of autosomal recessive limb-girdle muscular dystrophies caused by mutations in SGCB gene encoding beta-sarcoglycan proteins. In this study, we describe a shared, common haplotype co-segregating in 14 sarcoglycanopathy cases from 13 unrelated families from south Indian region with the likely pathogenic homozygous mutation c.544 T > G (p.Thr182Pro) in SGCB. Haplotype was reconstructed based on 10 polymorphic markers surrounding the c.544 T > G mutation in the cases and related family members as well as 150 unrelated controls from Indian populations using PLINK1.9. We identified haplotype H1 = G, A, G, T, G, G, A, C, T, G, T at a significantly higher frequency in cases compared to related controls and unrelated control Indian population. Upon segregation analysis within the family pedigrees, H1 is observed to co-segregate with c.544 T > G in a homozygous state in all the pedigrees of cases except one indicating a probable event of founder effect. Furthermore, Identical-by-descent and inbreeding coefficient analysis revealed relatedness among 33 new pairs of seemingly unrelated individuals from sarcoglycanopathy cohort and a higher proportion of homozygous markers, thereby indicating common ancestry. Since all these patients are from the south Indian region, we suggest this region to be a primary target of mutation screening in patients diagnosed with sarcoglycanopathy.
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Affiliation(s)
- Shamita Sanga
- National Institute of Biomedical Genomics, P.O: N.S.S, Kalyani, West Bengal, 741251, India
| | - Sudipta Chakraborty
- National Institute of Biomedical Genomics, P.O: N.S.S, Kalyani, West Bengal, 741251, India
- Regional Centre for Biotechnology, Faridabad, India
| | - Mainak Bardhan
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Kiran Polavarapu
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | - Chandrika Bhattacharya
- National Institute of Biomedical Genomics, P.O: N.S.S, Kalyani, West Bengal, 741251, India
| | - Saraswati Nashi
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Seena Vengalil
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | | | - Atchayaram Nalini
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Analabha Basu
- National Institute of Biomedical Genomics, P.O: N.S.S, Kalyani, West Bengal, 741251, India
| | - Moulinath Acharya
- National Institute of Biomedical Genomics, P.O: N.S.S, Kalyani, West Bengal, 741251, India.
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Abstract
PURPOSE OF REVIEW Our aim is to highlight major advances reported in the last few years in drug-induced muscle toxicity. RECENT FINDINGS Our focus is on myopathies induced by statins and immune checkpoint inhibitors with a brief overview of rare steroid myopathies. Statin muscle injury is frequently because of direct toxicity rather than an autoimmune mechanism. Laboratory testing and muscle pathologic features distinguish these two conditions. Statin-associated necrotizing autoimmune myopathy (SANAM) is associated with an autoantibody in 66% of cases targeting the HMGCR enzyme. The later autoantibody is a marker for necrotizing autoimmune myopathy, regardless of statin exposure. In SANAM, MHC-I antigens are expressed on the surface of intact muscle fibers. Genetic HLA loci predispose patients exposed to statins to immunologic toxicity. SANAM requires long-term therapy with multiple immunosuppressive therapies. Immune checkpoint inhibitors are powerful emerging therapies for advanced cancer that pause a novel therapeutic challenge. SUMMARY This review is focused on statins, the most prevalent myotoxic drug class. In addition, we examine the accumulating body of evidence of muscle injury and its management with immune checkpoint inhibitors. We anticipate the reader to become more knowledgeable in recent discoveries related to these myotoxic drugs, and their mechanisms of action and management.
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Gerena-Maldonado E. Detecting Toxic Myopathies as Medication Side Effect. Phys Med Rehabil Clin N Am 2018; 29:659-667. [PMID: 30293621 DOI: 10.1016/j.pmr.2018.06.002] [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] [Indexed: 11/19/2022]
Abstract
The goal of this article is to provide physiatrists, neurologists, and neuromuscular medicine physicians a framework that can be easily used in the process of evaluating, identifying, and treating patients with toxic myopathies. This review attempts to classify these rare but potentially deadly conditions in clinical patterns and distinguishes the cellular mechanisms in which the offending agents tend to impact the structure and function of myocytes.
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Affiliation(s)
- Elba Gerena-Maldonado
- Department of Physical Medicine and Rehabilitation, Providence St. Joseph Health, Providence Medical Group, 500 West Broadway, 3rd Floor, Missoula, MT 59802, USA.
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Abstract
Muscle tissue is highly sensitive to many substances. Early recognition of toxic myopathies is important, because they potentially are reversible on removal of the offending drug or toxin, with greater likelihood of complete resolution the sooner this is achieved. Clinical features range from mild muscle pain and cramps to severe weakness with rhabdomyolysis, renal failure, and even death. The pathogenic bases can be multifactorial. This article reviews some of the common toxic myopathies and their clinical presentation, histopathologic features, and possible underlying cellular mechanisms.
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Affiliation(s)
- Mamatha Pasnoor
- Department of Neurology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA.
| | - Richard J Barohn
- Department of Neurology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA
| | - Mazen M Dimachkie
- Department of Neurology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA
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Chawla J. Stepwise approach to myopathy in systemic disease. Front Neurol 2011; 2:49. [PMID: 21886637 PMCID: PMC3153853 DOI: 10.3389/fneur.2011.00049] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2011] [Accepted: 07/14/2011] [Indexed: 12/18/2022] Open
Abstract
Muscle diseases can constitute a large variety of both acquired and hereditary disorders. Myopathies in systemic disease results from several different disease processes including endocrine, inflammatory, paraneoplastic, infectious, drug- and toxin-induced, critical illness myopathy, metabolic, and myopathies with other systemic disorders. Patients with systemic myopathies often present acutely or sub acutely. On the other hand, familial myopathies or dystrophies generally present in a chronic fashion with exceptions of metabolic myopathies where symptoms on occasion can be precipitated acutely. Most of the inflammatory myopathies can have a chance association with malignant lesions; the incidence appears to be specifically increased only in patients with dermatomyositis. In dealing with myopathies associated with systemic illnesses, the focus will be on the acquired causes. Management is beyond the scope of this chapter. Prognosis is based upon the underlying cause and, most of the time, carries a good prognosis. In order to approach a patient with suspected myopathy from systemic disease, a stepwise approach is utilized.
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Affiliation(s)
- Jasvinder Chawla
- Chief of Neurology, Hines VA Hospital and Neurology Residency Program Director, Loyola University Medical Center Hines, IL, USA
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Rahe-Meyer N, Weilbach C, Karst M, Pawlak M, Ahmed A, Piepenbrock S, Winterhalter M. In vivo myograph measurement of muscle contraction at optimal length. Biomed Eng Online 2007; 6:1. [PMID: 17199890 PMCID: PMC1770920 DOI: 10.1186/1475-925x-6-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2006] [Accepted: 01/02/2007] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Current devices for measuring muscle contraction in vivo have limited accuracy in establishing and re-establishing the optimum muscle length. They are variable in the reproducibility to determine the muscle contraction at this length, and often do not maintain precise conditions during the examination. Consequently, for clinical testing only semi-quantitative methods have been used. METHODS We present a newly developed myograph, an accurate measuring device for muscle contraction, consisting of three elements. Firstly, an element for adjusting the axle of the device and the physiological axis of muscle contraction; secondly, an element to accurately position and reposition the extremity of the muscle; and thirdly, an element for the progressive pre-stretching and isometric locking of the target muscle. Thus it is possible to examine individual in vivo muscles in every pre-stretched, specified position, to maintain constant muscle-length conditions, and to accurately re-establish the conditions of the measurement process at later sessions. RESULTS In a sequence of experiments the force of contraction of the muscle at differing stretching lengths were recorded and the forces determined. The optimum muscle length for maximal force of contraction was established. In a following sequence of experiments with smaller graduations around this optimal stretching length an increasingly accurate optimum muscle length for maximal force of contraction was determined. This optimum length was also accurately re-established at later sessions. CONCLUSION We have introduced a new technical solution for valid, reproducible in vivo force measurements on every possible point of the stretching curve. Thus it should be possible to study the muscle contraction in vivo to the same level of accuracy as is achieved in tests with in vitro organ preparations.
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Affiliation(s)
- Niels Rahe-Meyer
- Department of Anaesthesiology, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625 Hannover, Germany
| | - Christian Weilbach
- Department of Anaethesiology, St. Josefs Stift Cloppenburg, Krankenhausstr. 13, D-49661 Cloppenburg, Germany
| | - Matthias Karst
- Department of Anaesthesiology, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625 Hannover, Germany
| | - Matthias Pawlak
- Institute of Physiology, University of Wuerzburg, Roentgenring 9, D-97070 Wuerzburg, Germany
| | - Aminul Ahmed
- St. Thomas' Hospital, Lambeth Palace Road, London SE1 7EH, Great Britain
| | - Siegfried Piepenbrock
- Department of Anaesthesiology, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625 Hannover, Germany
| | - Michael Winterhalter
- Department of Anaesthesiology, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625 Hannover, Germany
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Han JJ, Carter GT, Weiss MD, Shekar C, Kornegay JN. Using electromyography to assess function in humans and animal models of muscular dystrophy. Phys Med Rehabil Clin N Am 2005; 16:981-97, x. [PMID: 16214055 DOI: 10.1016/j.pmr.2005.08.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Jay J Han
- Department of Physical Medicine and Rehabilitation, University of California-Davis, 4860 Y Street, Suite 3850, Sacramento, CA 95817, USA
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