Similar large population-based studies have shown that 9.1% of the total muscular dystrophy identified is LGMD (
23,
24). The present study showed that LGMD2D alpha sarcoglycanopathy was the most common type of LGMD. Contradictory results have been seen in other studies. Similar findings in several studies show that LGMD2A is the most common type of LGMD (
9-
11). A study conducted in Italy by Guglieri et al. showed that 84% of LGMD patients had the AR form, and LGMD2A was the most common LGMD (
12). In other studies, calpainopathy was most common in different parts of the world (
12,
13). However, in our study, calpainopathy was the fourth most common type of LGMD after alpha sarcoglycanopathy, beta sarcoglycanopathy, and gamma sarcoglycanopathy.
In a study carried out in Italy by Guglieri et al., after calpainopathy, dysferlinopathy was the second most common, and sarcoglycanopathies were the third most common LGMD (
12). In a study carried out by Magri et al. in 2016 in Italy, LGMD2A and 2B were the most common subtypes of LGMD (
17). The prevalence of dysferlinopathy is different in various studies. In our study, the prevalence of dysferlinopathy was 7.3%. In a consistent study, the prevalence of dysferlinopathy in the United Kingdom was reported to be 5.9% (
11), while in Italy, it was 18.7% (
12). However, as in the present study, the prevalence of dysferlinopathy was very low in the Netherlands (
10).
In the present study, the prevalence of scoliosis was 7.3%, while in the study by van der Kooi et al. in the Netherlands, scoliosis was observed in 26.4% of patients (
25). Also, in our study, the most common cases were alpha sarcoglycanopathy, followed by beta sarcoglycanopathy. The findings of Alavi et al. on 25 patients with sarcoglycanopathy in Iran showed that 14 patients had beta sarcoglycanopathy, 7 had gamma sarcoglycanopathy, 3 had delta sarcoglycanopathy, and 1 patient had alpha sarcoglycanopathy (
26). Our study showed that among the patients studied, 27.3% had SGCB mutation (LGMD R4), 18.2% had SGCA mutation (LGMD R3), 13.6% had SGCG mutation (LGMD R5), 9% had CAPN3 (LGMD R1), and 9% had ISPD mutation (FKRP). Other studies have shown that the most common cases of LGMD in large and genetically heterogeneous populations are certain types such as LGMD R1 (CAPN3), LGMD R2 (DYSF), LGMD R3 (SGCA), and LGMD R4 (
27-
32).
In the present study, 28 out of 41 patients had sarcoglycanopathy. Parental kinship was present in 19 (67.9%) patients, and similar disease history was present in 11 (39.3%). Calf pseudohypertrophy was present in 60.9% of patients with sarcoglycanopathy, but in Alavi et al.'s study, all patients with sarcoglycanopathy had leg muscle pseudohypertrophy (
26). In our study, cardiac involvement was present in 2 patients (7.3%). One patient had alpha sarcoglycanopathy, and one patient had gamma sarcoglycanopathy. In Alavi et al.'s study, there were cardiac abnormalities in six patients (24%); 5 patients had beta sarcoglycanopathy, and one patient had delta sarcoglycanopathy (
26). In contrast, in the study by Urtasun in Spain, pseudohypertrophy of leg muscles or contracture was present in no patient (
16).
According to previous studies, cardiac involvement is more common in beta sarcoglycanopathy than in other types of sarcoglycanopathies. Thus, the absence of cardiac involvement in patients with beta sarcoglycanopathies in our study is notable.
In the present study, contracture was present in 14.3% of patients with sarcoglycanopathy; 2 patients had alpha sarcoglycanopathy, one patient had beta sarcoglycanopathy, and one patient had gamma sarcoglycanopathy. In Alavi et al.'s study, 84% of patients had scoliosis in the late stages of the disease (
26). Therefore, it seems that longer follow-ups are needed to observe the contracture.
Studies to offer new pharmacological methods considering biomarkers on various SGC mutations have shown that targeting sarcoglycan proteins and genes involved in dystrophy can be effective in reducing disease complications (
7,
33-
35). It is hoped that in the future, many problems of patients will be solved by offering new therapeutic solutions.
In the present study, SGCB and SGCA mutations were related to CPK levels. This finding has been confirmed in previous studies. Similar findings have shown that CPK changes in patients differ based on genetic mutations. The parallel process of reduction in CPK values in the mutated SGCB gene has shown a decrease in muscle, respiratory, and cardiac function (
36). These findings indicate a possible genotype-phenotype correlation in this disease.
Based on the present findings, the level of CPK also showed a significant difference with types of mutations, as reported in other studies. In a study of patients with limb girdle muscular dystrophy type 2C, the average CPK was 10,300 (depending on the SGCG gene, it varied from 1,300 to 35,000 U/L) (
37). In addition, in another study, the average CPK was 1154 in SGCB and 9000 - 15000 U/L in LGMD 2D (
38,
39). An LGMD patient was evaluated with a CPK of 26,123 U/L. Neurodevelopmental disorders have been associated with a missense mutation in the LGMDR3 gene (
40). These findings show the difference in CPK levels in different mutations, which was confirmed in the present study.
In general, physicians' failure to recognize the signs and symptoms of muscular dystrophy leads to unnecessary diagnostic measures. The study of the disease symptoms can be effective in recognizing and providing better therapeutic strategies.
One of the limitations is the lack of a patient registry system in the country, which causes no accurate information about diseases, including muscular dystrophy. If a national registry system is launched, most problems of the medical staff will be solved. Also, due to the fact that metabolic and genetic tests are not covered by insurance, performing these tests imposes heavy costs on parents. Health organizations in developing countries need to pay attention to this issue.
5.1. Conclusions
The prevalence of alpha and beta sarcoglycanopathy phenotypes in the study population showed that the severity of clinical involvement may be predicted by evaluating various mutations in the SGCB gene and the mentioned clinical symptoms.