A twin consensus in MS

Increasing prevalence of familial recurrence of multiple sclerosis in Iran: a population based study of Tehran registry 1999-2015

BACKGROUND

Tehran is the capital of Iran with an increasing multiple sclerosis (MS) prevalence. A retrospective population-based study was conducted to evaluate the trends of MS prevalence in Tehran.

METHODS

A population-based survey was conducted for the period 1999 to 2015, based on Iranian MS Society (IMSS) registry system of Tehran, the capital city of Iran. Point regression analysis was applied on MS trend data to find annual percent change (APC). The logistic regression analysis was used to estimate the odds ratio (OR) for individual variables in order to assess factors associating with familial recurrence of MS. P values < 0.05 were considered significant.

RESULTS

MS prevalence has significantly increased during the study period from 1999 to 2015 (56.22 per 100,000). Total point prevalence of MS was 115.94 per 100,000 persons in 2015 compared to general population. Positive family history of MS was observed among 12.4% of patients. The strongest association amongst first-degree relatives was found in siblings, p value ≤ 0.001.

CONCLUSION

MS prevalence is rising in Tehran and this city is one of the regions with highest MS prevalence in Asia. In this sample, the largest proportion of relatives with MS were found among first-degree relatives, particularly siblings. Familial recurrence correlated with relative type.

Noise in multiple sclerosis: unwanted and necessary

As our knowledge about the etiology of multiple sclerosis (MS) increases, deterministic paradigms appear insufficient to describe the pathogenesis of the disease, and the impression is that stochastic phenomena (i.e. random events not necessarily resulting in disease in all individuals) may contribute to the development of MS. However, sources and mechanisms of stochastic behavior have not been investigated and there is no proposed framework to incorporate nondeterministic processes into disease biology. In this report, we will first describe analogies between physics of nonlinear systems and cell biology, showing how small-scale random perturbations can impact on large-scale phenomena, including cell function. We will then review growing and solid evidence showing that stochastic gene expression (or gene expression “noise”) can be a driver of phenotypic variation. Moreover, we will describe new methods that open unprecedented opportunities for the study of such phenomena in patients and the impact of this information on our understanding of MS course and therapy.

Modest familial risks for multiple sclerosis: a registry-based study of the population of Sweden

In a study based on 96% of the roughly 28,000 patients with multiple sclerosis (MS) in Sweden, Westerlind et al. report relative and absolute MS risks for relatives of patients. Risks were lower than most of those previously reported, with an MS sibling risk seven times that of randomly selected controls.

Data on familial recurrence rates of complex diseases such as multiple sclerosis give important hints to aetiological factors such as the importance of genes and environment. By linking national registries, we sought to avoid common limitations of clinic-based studies such as low numbers, poor representation of the population and selection bias. Through the Swedish Multiple Sclerosis Registry and a nationwide hospital registry, a total of 28 396 patients with multiple sclerosis were identified. We used the national Multi-Generation Registry to identify first and second degree relatives as well as cousins, and the Swedish Twin Registry to identify twins of patients with multiple sclerosis. Crude and age corrected familial risks were estimated for cases and found to be in the same range as previously published figures. Matched population-based controls were used to calculate relative risks, revealing lower estimates of familial multiple sclerosis risks than previously reported, with a sibling recurrence risk (λ_s = 7.1; 95% confidence interval: 6.42–7.86). Surprisingly, despite a well-established lower prevalence of multiple sclerosis amongst males, the relative risks were equal among maternal and paternal relations. A previously reported increased risk in maternal relations could thus not be replicated. An observed higher transmission rate from fathers to sons compared with mothers to sons suggested a higher transmission to offspring from the less prevalent sex; therefore, presence of the so-called ‘Carter effect’ could not be excluded. We estimated the heritability of multiple sclerosis using 74 757 twin pairs with known zygosity, of which 315 were affected with multiple sclerosis, and added information from 2.5 million sibling pairs to increase power. The heritability was estimated to be 0.64 (0.36–0.76), whereas the shared environmental component was estimated to be 0.01 (0.00–0.18). In summary, whereas multiple sclerosis is to a great extent an inherited trait, the familial relative risks may be lower than usually reported.

[New gene map for multiple sclerosis]

BACKGROUND

Multiple sclerosis (MS) is a demyelinating, inflammatory disease of the central nervous system which affects young adults with a relapsing or progressive disease course. The etiology of the disease is unknown, but both environmental and genetic factors contribute to the risk of developing MS.

MATERIAL AND METHODS

We give an overview of new knowledge of the genetic risk factors for MS, based on our own work as well as on literature in this field.

RESULTS

Through genome-wide association studies and subsequent replication studies a series of novel MS genes have recently been identified, in addition to the HLA association previously described. The International MS Genetics Consortium in collaboration with the Wellcome Trust Case Control Consortium recently published a genome-wide study of 9,722 MS patients and 17,376 controls. Genome-wide significant association (p < 10-8) was observed for 29 new as well as 23 previously identified gene regions, in addition to the HLA-DRB1 and -A loci .The majority of these MS-associated regions encode immune-related molecules.

CONCLUSION

Genetic studies of large patient and control samples obtained through international and national collaborations have identified a list of more than 50 MS risk-gene regions, in addition to HLA-DRB1 and -A loci. The risk associated with each of these loci is low, however, they collectively point to the importance of immune-related pathways in the etiology of MS.

Evaluation of multiple sclerosis diagnostic criteria in Suzhou, China--risk of under-diagnosis in a low prevalence area

OBJECTIVE

To evaluate the discharge diagnosis of demyelinating diseases in the central nervous system (CNS) and analyze the predictive value of the new diagnostic criteria in Suzhou, China.

MATERIALS AND METHODS

We collected clinical information and data of laboratory examinations for all cases with a diagnosis of various demyelinating diseases in the CNS. All data were reviewed individually by four senior neurologists, and a diagnosis was finally given to each patient according to the McDonald criteria and the Poser criteria for multiple sclerosis (MS).

RESULTS

In the analysis, 176 patients with a diagnosis of demyelinating diseases in the CNS at discharge were included. In 82 patients with a diagnosis of MS at discharge, the MS diagnosis was confirmed for 74 patients according to the McDonald criteria for MS, and the positive predictive value for the discharge diagnosis of MS was 90.2% (74/82). According to the Poser criteria, 61 patients were diagnosed as MS. The consistency of the two diagnostic criteria for MS was 78.4%, based on the results of the evaluation.

CONCLUSIONS

Under-diagnosis of MS could be one of the explanations for the low prevalence of MS in China. Compared to the Poser criteria, the McDonald criteria had a higher sensitivity for the diagnosis of MS.

Epidemiology and natural history of multiple sclerosis: new insights

PURPOSE OF REVIEW

The cause of multiple sclerosis remains elusive. We review recent epidemiological studies of genetic and environmental factors that influence susceptibility to the disease and its clinical course.

RECENT FINDINGS

Genetic advances strengthen the association of multiple sclerosis with the human leukocyte antigen (HLA)-DRB1 allele and interferon-gamma polymorphisms and suggest that apolipoprotein E alleles play an important role. In the environmental realm, nested case-control studies show that prior Epstein-Barr virus exposure is overrepresented in multiple sclerosis. Smoking has been associated with both risk of multiple sclerosis and progressive disease. Vitamin D deficiency might tie together environmental clues with higher multiple sclerosis prevalence rates; dietary vitamin supplementation is also associated with reduced multiple sclerosis risk. Natural history studies demonstrated dissociation between relapses and disease progression, facilitated the ability to distinguish neuromyelitis optica and related syndromes from typical multiple sclerosis, and spawned the exploration of large datasets to model long-term disease activity.

SUMMARY

Our understanding of the contributions of specific genetic and environmental factors that contribute to multiple sclerosis has improved. Further refinements will eventually allow powerful longitudinal studies to assess genetic and environmental interactions with implications for prediction of individual disease susceptibility, clinical course, and response to therapy.