Related Experiment Video
Updated: Aug 6, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
A scoping review of comorbidity aetiology in multiple sclerosis
M Safa1, H Riel2, M A Krysak3
1College of Pharmacy, University of Manitoba, Winnipeg, MB, Canada.
Introduction:
Individuals with multiple sclerosis (MS) have a higher risk of comorbidities, such as depression and hypertension, than those without MS, although the underlying mechanisms remain poorly understood. We conducted a scoping review to map the existing literature regarding the aetiological mechanisms linking MS and comorbidities.
Methods:
We searched PubMed from inception to March, 2025, including studies of adult participants diagnosed with MS that focused on comorbidity aetiology. Studies estimating the risk or prevalence of comorbidities without investigating aetiology were excluded. For each study, we classified the proposed aetiological mechanism separately for Mendelian randomization (MR) and non-MR studies using an existing mechanistic framework. The categories were: chance/artifactual, causative, resultant, shared risk factors, and bidirectional effects.
Results:
We identified, 7224 articles, of which 311 underwent full-text review; 141 underwent data extraction. The most common comorbidities were depression (n = 20 studies), diabetes (n = 9), and epilepsy (n = 8). MR was a common study design (n = 57, 40.4%). MR studies were classified as chance/artifactual (n = 26), causative (comorbidity was proposed to cause MS) (n = 9), resultant (MS or its treatment were proposed to cause the comorbidity) (n = 20); or bidirectional (n = 2). Non-MR studies were classified as: resultant (comorbidity was proposed to result from MS or its treatment) (n = 19), shared risk factors (n = 44), or association only (temporality could not be established) (n = 21).
Conclusions:
Evidence suggests MS comorbidities arise from shared risk factors or from MS pathology or its treatment, with few demonstrating clear causal relationships. This review highlights important gaps in our understanding of the aetiology of comorbidity in MS.
Protocol:
The protocol for this rapid review was registered on the Open Science Framework: https://doi.org/10.17605/OSF.IO/HK7A5.
Insights
Multiple sclerosis (MS) comorbidities often stem from shared risk factors or MS itself, not clear causation. Further research is needed to understand these complex links.
Area of Science:
- Neurology
- Genetics
- Epidemiology
Background:
- Individuals with multiple sclerosis (MS) exhibit increased risk for comorbidities like depression and hypertension.
- The underlying etiological mechanisms linking MS and its comorbidities remain poorly understood.
Purpose of the Study:
- To conduct a scoping review mapping the existing literature on etiological mechanisms connecting MS and comorbidities.
- To classify proposed etiological mechanisms using a standardized framework.
Main Methods:
- Searched PubMed from inception to March 2025 for studies on MS comorbidity etiology.
- Included adult MS patients; excluded studies not investigating etiology.
- Classified mechanisms for Mendelian randomization (MR) and non-MR studies (chance, causative, resultant, shared risk factors, bidirectional).
Main Results:
- Reviewed 141 studies; depression, diabetes, and epilepsy were most common comorbidities.
- Mendelian randomization (MR) was a frequent design (40.4%).
- Mechanisms included shared risk factors (44 non-MR studies) and resultant effects (MS or treatment causing comorbidity).
Conclusions:
- Evidence suggests MS comorbidities arise from shared risk factors or MS pathology/treatment, with limited clear causal links.
- Significant gaps exist in understanding the etiology of comorbidity in MS.
Related Concept Videos
Multiple Sclerosis l: Introduction
Diagnostic and Statistical Manual of Mental Disorders (DSM)
Genomics
Biological Causes of Schizophrenia
Genetic Factors in Schizophrenia
The genetic basis of schizophrenia is strongly supported by family and twin studies.