Introduction
With an incrementing burden worldwide, neurological disorders are the leading cause of disability and the second leading cause of death. Based on the recent study by the global burden of disease (GBD), multiple sclerosis (MS) was indicated among disorders that are followed by an increasing pattern of mortality and disability-adjusted life-years (DALY) rates [
1].
Multiple sclerosis, as the most common non-traumatic disorder of CNS, damages white and grey matter of the brain as well as the spinal cord, leading to demyelination and neurodegeneration and a wide spectrum of clinical manifestations [
2]. The global prevalence of MS is estimated to be more than 2 million people and is approximately 2 to 3 times more common in women than men [
3]. Although the age of MS onset is usually 20–40 years old, it has been also reported in children and people aged 50 years and older, known as the pediatric-onset of MS (POMS) and late-onset MS (LOMS), respectively [
4,
5]. The first clinical presentation of MS is termed clinically isolated syndrome (CIS), which is typically followed by four clinical patterns including, relapsing-remitting MS (RRMS), secondary-progressive MS (SPMS), and primary-progressive MS (PPMS), and progressive-relapsing MS (PRMS) [
2,
6].
Based on several studies, it is well known that MS results from dysregulation of immune response. Despite decades of effort, the main cause of systematic inflammation and autoimmunity observed in MS remains to be elucidated [
7]. Numerous studies have pointed to the crucial role of a genetic component in MS susceptibility which endorses the aggregation of MS in families [
8‐
10]. The global prevalence of familial MS (FMS) has been recently reported to be about 11.8% [
11]. Given the impact of both genetic and environmental influences (incl. Geographical and cultural characteristics), the prevalence of FMS shows an uneven distribution among the different populations [
5,
12]. Similar to sporadic MS (SMS), the age of onset in FMS patients is typically ranged between 20 and 30 years old [
5,
11,
13]. About FMS prevalence between males and females, there are controversial results [
14‐
16]. According to family-based studies, the incidence of the disease is higher among first- and second-degree relatives, respectively. Moreover, it has been reported that FMS cases are more likely to present RRMS and SPMS [
17,
18].
In recent years, the prevalence and incidence of both SMS and FMS have been increased in Iran. With a higher intensity in the central part of the country, Iran is currently considered as an area with a high rate of MS [
19,
20]. Recently, a positive history of FMS among the Iranian population was found to be 3.3–26.7% [
21]. Specifically, the trend of FMS in Tehran, the capital city of Iran, has increased significantly over the past 18 years; from 5% in 2003 to 13.04% in 2018 [
5]. Having the highest rate of different immigration, ethnic diversity, and socio-cultural conditions have made Tehran at the center of research priorities to evaluate FMS [
5,
22] and just a few studies have been performed regarding the FMS prevalence in other provinces of Iran [
14].
Here, we used nationwide MS registry of Iran (NMSRI) data to estimate not only the prevalence and demographic characteristics of FMS in Iran, even to provide more clues about the epidemiologic statistics of FMS in different geographical regions and ethnicities.
Discussion
To the best of our knowledge, the majority of the FMS studies in Iran have been performed in a cross-sectional setting which suffers from numerous limitations such as selection bias. Hence, the goal of the present study was to determine various aspects of FMS in Iran’s different ethnic groups through a registry system which made the current data more reliable than previous reports. All the information that was obtained from 9200 patients from six provinces with different ethnic populations including, Fars, Tehran, and Isfahan (Persians), Mazandaran (Mazanis), Kermanshah (Kurds), and Chaharmahal and Bakhtiari (Lors) were gathered through NMSRI during 2018 to 2021.
Overall, the result of this study showed that the prevalence of FMS in Iran was 19%. Hence, it is higher than the global prevalence estimated in recent studies (11.8% in 2021 and 12.6% in 2018) [
11,
13]. A systematic review and meta-analysis study performed by Moosazadeh et al. in 2017 also reported a high rate of FMS among Iranian people, ranging from 3.3 to 26.7% [
21]. While FMS in Iran was more prevalent than what was reported in Saudi Arabia [
12], the estimated prevalence in our study was less than the prevalence reported in the study of Abu Dhabi by Ceccarelli et al. in 2020 [
15]. In addition to being located in a region with a high prevalence of FMS, Iran has a growing trend of FMS which suggests a unique Atlas of FMS prevalence in this multi-ethnic population [
20]. Given the complex nature of MS and the role of genetic contribution to MS risk, consanguineous marriage should be weighed among FMS patients in Iran, a country with high rates of parental consanguinity [
28‐
30].
According to the subgroup analysis in terms of the province, the highest rate of FMS was in Persians and Lors, respectively. The results of a retrospective study on 871 MS patients in Shiraz between April 2004 and April 2018 described that 5.5% of patients had a history of MS in their family members [
31]. Similarly, the current study and all our previous studies in Tehran indicated that FMS prevalence rose steadily; from 5% in 2003 to 13.04% in 2018 [
22]. Nonetheless, no study was found that has evaluated FMS prevalence in Chaharmahal and Bakhtiari. In the current study, the prevalence of FMS in Isfahan [
14,
32,
33] and Mazandaran [
34,
35] was lower than in the previous. One study reported the 1.2% FMS prevalence in Kermanshah in 2012 [
36]. Despite the higher rate of FMS within Persians, no statistically significant difference was observed among the provinces. It is important to note that the lowest FMS prevalence was found in Kermanshah and Mazandaran; they are located in the west and north of the country, respectively. As developed and industrial cities, a high frequency of FMS was found in Fars, Tehran, and Isfahan provinces. Strikingly, the discrepancies among the provinces highlight the existence of considerable variance in terms of both genetic and environmental factors such as the high stress of living in industrial cities, air pollution effects, and lifestyles across regions of a geographic area.
In the context of FMS gender distribution, FMS was found to be higher among Iranian females compared with males. Overall, this result is consistent with the results of earlier studies across other countries [
17,
37]. Remarkably, females in Fars province showed the highest prevalence of FMS which might reflect the altered lifestyle factors within those females during the past decades. Making an explanation for the high prevalence of FMS among females in Fars could be an interesting topic for future studies.
In this study, the mean age of disease onset was 30.66 years. Furthermore, the mean age of patients at the time of disease onset was 30.7 and 30.6 years for FMS and SMS cases, respectively. The mean age of onset among Iranian FMS patients was more than 28.7 years which was reported in a worldwide study of 6114 FMS cases out of 15 studies [
11]. However, the age of SMS onset was lower than 42.7 years reported in British Columbia MS (BCMS) database [
38], 32.4 years reported in Argentina [
39], and 31.33 years reported in Greece [
40]. Almost identical results in MS age of onset were observed in Abu Dhabi and Italy [
15,
38]. Concerning our findings, the youngest age of disease onset was found among FMS patients in Fars, which was estimated to be significantly lower in comparison to sporadic cases. Comparably, Ehtesham et al. reported the lowest age of disease onset in Shiraz city of Iran [
11]. Given that Iran’s population growth rate is currently declining, the average age of MS incidence in Iran appears to be rising and approaching that of developed countries.
As regards the distribution of age groups, most of patients were identified as AOMS (91.6%) followed by POMS (6.8%) and LOMS (2.3%), respectively. The percentage of LOMS was approximately greater in FMS (2.4%) than SMS (2.3%). However, it should be noted that there was no significant difference in the mean age of onset neither between the two groups nor between the two genders within FMS patients. The present results are comparable to those reported by Mirmosayyeb et al.; of 2627 cases, 4.8% as early-onset of MS (EOMS), 3.20% as LOMS, and 91.93% as AOMS [
26]. Further, 671 RRMS patients were evaluated in a retrospective long-term follow-up study. Of these, 143 (21.3%) were LORRMS (> 40 years) and 528 (78.7%) were young-onset RRMS (YORRMS; 18–40 years) [
41].
Comparable to those results reported elsewhere [
26], the most common form of disease in the present study was RRMS, which was followed by SPM, PPMS, and RPMS. Based on the data taken from the Isfahan Hakim MS database, LOMS patients had a higher risk of conversion from RRMS to SPMS in a shorter time (years) compared to EOMS and AOMS [
26]. Although YORRMS showed more brain MRI inflammatory features, the survival curves analyses showed higher probability of reaching EDSS 6.0 for LORRMS in a shorter time (months) [
41]. Remarkably, our results showed that FMS patients have a significantly higher rate of RRMS and SPMS types than SMS, although they show similar EDSS scores. Likewise, Steenhof et al. also described greater percentages of relapsing course in FMS compared to SMS [
17]. The present findings showed the considerable impression of familial history on the disease course which should be taken in consideration.
The number of affected members is variable in family-based reports [
5,
11]. In this study, the number of patients in a family ranged from one to six and the most of affected cases were in the same generation. The latter was significantly higher in women than men. Overall, MS risk was reported seven times more in patients with relatives having MS [
42]. Like other studies [
5,
16,
17], first- and third-degree relatives, especially siblings and paternal cousins of the affected individuals, were the prevalent kindship in the current study. Particularly, there was a significant association between already diagnosed adult MS patients and their siblings. Further, a significant association between pediatric MS and the affected father as well as both affected maternal and paternal aunt/uncles was identified. Previously, other studies also found a higher rate of MS development among parent-child relations [
39,
43]. Particularly, 2–4% increased risk of childhood-onset of MS was evident in multi-incident MS families with a first-degree relative with MS (i.e. parent or sibling) [
42,
44].
Based on our findings wives of MS probands experience an increased risk of MS compared to husbands. A nation world cohort study by Nielsen et al. found completely different results; i.e. “spouses of MS patients did not experience an increased risk of MS” and suggested no key role for environmental factors during adulthood [
42]. We further assessed whether there was an association between paternal or maternal MS and the occurrence of disease in offspring. It was found that MS is more likely to be transmitted from mother to child than from father to child. Based on a similar study conducted by Steen Hof, it was recognized that MS is transmitted more from mother to child. Out of 133 cases of MS, 44 were between mother and child and 23 were between father and child [
17]. Maternal illness during pregnancy, exposure to maternal passive smoking, and use of pesticides in the household during pregnancy may increase the chance the offspring will go on to develop MS.
Limitation
The nationwide MS registry of Iran (NMSRI) has been held since 2018 and has not reached the maximum coverage yet. While Iran has thirty-one provinces, six of them have been examined in the present study. Hence, we might underestimate FMS prevalence in Iran. Since parents can be of different ethnicities, the exact ethnicity of the individuals is unknown. Further, measuring EDSS scores by different neurologists in different areas is associated with a considerable measurement bias.
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