| Title |
MS in South Asians in England: early disease onset and novel pattern of myelin autoimmunity
|
|---|---|
| Published in |
BMC Neurology, May 2015
|
| DOI | 10.1186/s12883-015-0324-2 |
| Pubmed ID | |
| Authors |
Richard S Nicholas, Vassiliki Kostadima, Maya Hanspal, Benjamin R Wakerley, Ruhena Sergeant, Saskia Decuypere, Omar Malik, Rosemary J Boyton, Daniel M Altmann |
| Abstract |
Epidemiological studies describe a latitude gradient for increased MS prevalence and a preponderance of disease in Caucasian individuals. However, individuals from other ethnic backgrounds and low-risk regions can acquire a raised risk through migration. Nearly a fifth of the London population is of Asian/Asian-British origin and a significant proportion of referrals are from this group. We investigated whether there were differences in timing, presentation, severity, and immunology of disease (with respect to CD4 myelin epitope recognition) between individuals in London with MS who were either of S. Asian or Caucasian origin. Individuals of S. Asian origin with MS were compared with healthy S. Asian controls, individuals with MS and of Caucasian origin and Caucasian controls. Age at MS onset is significantly lower in the S. Asian group, attributable to earlier onset specifically in UK-born individuals, though clinical presentation is similar. Analysis of CD4 autoimmunity to myelin antigens shows disease in S. Asian individuals to encompass recognition of novel epitopes; immunity to MBP116-130 in S. Asian individuals was highly disease-specific. These findings emphasize the need to define disease profiles across ethnicities and identify environmental triggers conferring acquired risk. Such findings must inform choices for immunotherapeutic interventions suitable for all, across ethnicities. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 24% |
| Student > Ph. D. Student | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 7 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 24% |
| Agricultural and Biological Sciences | 2 | 10% |
| Neuroscience | 2 | 10% |
| Psychology | 2 | 10% |
| Immunology and Microbiology | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 6 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2016.
All research outputs
#15,866,607
of 23,577,654 outputs
Outputs from BMC Neurology
#1,523
of 2,523 outputs
Outputs of similar age
#158,662
of 265,709 outputs
Outputs of similar age from BMC Neurology
#27
of 36 outputs
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