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Sarcoglycanopathies: a novel predictive approach

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Abstract

Progressive Muscular Dystrophies (PMDs) are a heterogeneous family of neuromuscular diseases. Although they are considered as a rare diseases group, their severity and relatively high prevalence make them a suitable target for that kind of scientific research whose target is to give to the community a better quality of life. With this in mind, it is reasonable to think that a reliable predictive model is needed. Alas, since both PMDs subtypes prevalence and incidence among general population do not show significant statistical variations, it is not possible to base a predictive model on these data. However, the aim of this paper is to elaborate a novel approach in order to crack the code of PMDs unpredictability.
GSL Journal of Public Health and Epidemiology
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Citation: Frumento D. Sarcoglycanopathies: A Novel Predictive Approach. GSL J Public Health Epidemiol. 2019; 2:112.
Sarcoglycanopathies: A Novel Predictive Approach
Davide Frumento
Department of Experimental Medicine, DIMES, University of Genoa, Genoa, Italy
*Corr esponding author: Davide Frumento, PhD, Section of Biochemistry,
Department of Experimental Medicine Viale Benedetto XV 1, 16132
Genova (GE), Italy. Tel: +393334310322; E-mail: davide.frumento@edu.
unige.it
Received: Feb 20, 2019; Accepted: Feb 26, 2019; Published: Feb 28,
2019
Introduction
Progressive Muscular Dystrophies (PMDs) are a heterogeneous
family of neuromuscular diseases. Investigations on these hereditary
disorders started a long time ago, in fact the rst accurate description
of Duchenne Muscular Dystrophy (DMD), was carried out in 1852 [1].
About a century later, some cases of progressive muscular dystrophy
were reported, although they were clinically non-discriminable
from DMD. However, such an obscure form of PMD was later
called “Duchenne-like” autosomal recessive muscular dystrophy [2].
Aerwards, researchers discovered that DMD is ascribable to mutations
in the dystrophin protein gene [3,4]. Both structural and functional
feature of transmembrane dystrophin proteins brought to the nding
of a class of dystrophin-associated proteins, that taken together form
a unique transmembrane Dystrophin-Glycoprotein Complex (DGC).
Within such a molecular complex, one more sub-framework was
discovered, namely a four subunits-one called sarcoglycan [5]. Under a
genetic point of view, the positive correlation between mutations within
the sarcoglycan complex gene and sarcoglycanopathies development
became clear.
Epidemiological aspects
Prevalence data about all types of sarcoglycanopathies have been
calculated only for a restricted number of nations. More specically,
in India 53.8% [6], in USA it is about 15% [7], in Mexico 14% [8], in
Italy 18.1% [9], United Kingdom 11.7% [10]. In Denmark, Germany
and the Czech Republic the muscular dystrophies prevalence is 22.3,
23, and 2.3% [11-13]. e percentages of each of such diseases shows
no statistically signicant variations for about all populations, except
for isolated ones, among which the founder eect is very relevant. e
most common form of LGMD (Limb Girdle Muscular Dystrophy),
regardless of the geographic area, is usually the 2D type. 2E and 2C
forms presence is generally balanced among patients [14]. e rarest
type is, in most nations, is 2F, while in India it comes aer 2C [6]. 2C is
also prevalent, among other forms, in North Africa [15,16].
Abstract
Progressive Muscular Dystrophies (PMDs) are a heterogeneous family of neuromuscular diseases. Although they are considered as a rare
diseases group, their severity and relatively high prevalence make them a suitable target for that kind of scientic research whose target is to give to
the community a better quality of life. With this in mind, it is reasonable to think that a reliable predictive model is needed. Alas, since both PMDs
subtypes prevalence and incidence among general population do not show signicant statistical variations, it is not possible to base a predictive
model on these data. However, the aim of this paper is to elaborate a novel approach in order to crack the code of PMDs unpredictability.
Novel insights
Under an epidemiological point of view, it is legit to put
sarcoglycanopathies among the group of rare diseases. Nevertheless,
they are worldwide acknowledged as serious genetic disorders, as
they deeply aect life quality at all levels of severity. Since it has been
demonstrated that signicant statistical variations between LGMDs
only occur among isolated populations (due to the founder eect), it is
reasonable to infer that predictive models are not feasible only taking
into account general population. e aim of this opinion paper is to
propose a backward-wise methodological approach. e idea consists
in mapping the ethnical background of LGMD patients among big
communities, so that it will be possible to identify the ethnogenetic
basis of these diseases. en, ascending only to antiquely originated
isolated communities; it will be relatively easy to calculate their internal
LGDMs type prevalence. With this in mind, the next step it will be to
ethnogenetically track the origin of patients among general population,
in order to identify the LGMD cases that aect individuals ethnically
linked to the above cited antiquely originated isolated communities and
nally design a reliable predictive model.
References
1. Meryon E (1852) On granular and fatty degeneration of the
voluntary muscles. Med Chir Trans 35: 73-84.
2. Kloepfer HW, Talley C (1958) Autosomal recessive inheritance of
Duchenne-type muscular dystrophy. Ann Hum Genet 22: 138-143.
3. Koenig M, Homan EP, Bertelson CJ et al. (1987) Complete
cloning of the Duchenne muscular dystrophy (DMD) cDNA and
preliminary genomic organization of the DMD gene in normal and
aected individuals. Cell 50: 509-517.
4. Homan EP, Brown RH Jr, Kunkel LM (1987) Dystrophin: the
protein product of the Duchenne muscular dystrophy locus. Cell
51: 919-928.
5. Yoshida M, Suzuki A, Yamamoto H et al. (1994) Dissociation of
the complex of dystrophin and its associated proteins into several
unique groups by n-octyl beta-D-glucoside. Eur J Biochem 222:
1055-1061.
6. Meena AK, Sreenivas D, Sundaram C et al. (2007)
Sarcoglycanopathies: a clinico-pathological study. Neurol India 55:
117-121.
Citation: Frumento D. Sarcoglycanopathies: A Novel Predictive Approach. GSL J Public Health Epidemiol. 2019; 2:112.
GSL J Public Health Epidemiol. 2019; 2:112 | Page 2 of 2
Volume 2, Issue 1Frumento D
7. Moore SA, Shilling CJ, Westra S et al. (2006) Limb-girdle muscular
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8. Gomez-Diaz B, Rosas-Vargas H, Roque-Ramirez B et al. (2012)
Immunodetection analysis of muscular dystrophies in Mexico.
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10. Norwood FLM, Harling C, Chinnery PF et al. (2009) Prevalence of
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Sarcoglycanopathies in Dutch patients with autosomal recessive
limb girdle muscular dystrophy. J Neurol 247: 524-529.
12. Stehlikova K, Skalova D, Zidkova J et al. (2014) Autosomal recessive
limb-girdle muscular dystrophies in the Czech Republic. BMC
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13. Sveen ML, Schwartz M and Vissing J (2006) High prevalence and
phenotype-genotype correlations of limb girdle muscular dystrophy
type 2I in Denmark. Ann Neurol 59: 808-815.
14. Moreira ES, Vainzof M, Suzuki OT et al. (2003) Genotype-phenotype
correlations in 35 Brazilian families with sarcoglycanopathies
including the description of three novel mutations. J Med Genet 40:
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15. Noguchi S, McNally EM, Ben Othmane K et al. (1995) Mutations
in the dystrophin-associated protein gamma-sarcoglycan in
chromosome 13 muscular dystrophy. Science 270: 819-822.
16. McNally EM, Passos-Bueno MR, Bonnemann CG et al. (1996)
Mild and severe muscular dystrophy caused by a single gamma-
sarcoglycan mutation. Am J Hum Genet 59: 1040-1047.
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Within a group of 76 sporadic/autosomal recessive limb girdle muscular dystrophy (LGMD) patients we tried to identify those with LGMD type 2C-E. Muscle biopsy specimens of 40 index patients, who had 22 affected sibs, were analyzed immuno-histochemically for the presence of three subunits: alpha-, beta-, and gamma-sarcoglycans. Abnormal sarcoglycan expression was established in eight patients, with six affected sibs. In one patient gamma-sarcoglycan was absent, and both alpha- and beta-sarcoglycans were reduced. In the remaining seven patients gamma-sarcoglycan was (slightly) reduced, and alpha- and beta-sarcoglycans were absent or reduced. By DNA sequencing mutations were detected in one of the three sarcoglycan genes in all eight cases. Three patients had mutations in the alpha-, three in the beta-, and two in the gamma-sarcoglycan gene. The patients with sarcoglycanopathy comprised the more severely affected cases (P=0.04). In conclusion, sarcoglycanopathy was identified in 23 % (14/62) of the autosomal recessive LGMD patients.