Association between insulin resistance and multiple sclerosis: a systematic review and meta-analysis.

Abstract

There is increasing evidence of metabolic perturbations in multiple sclerosis (MS) patients, and insulin is an important parameter that has controversial effects on neurological disease. Therefore, this systematic review and meta-analysis study aimed to explore the association between insulin resistance (IR) and MS as well as insulin levels and MS. Three electronic databases, including Medline, Scopus, and the Web of Science, were examined up to 26 May 2023 for observational studies. Two independent reviewers assessed the studies according to a pre-specified protocol. Random-effects model using a Restricted-maximum Likelihood (REML) estimator was used to meta-analyze the association between IR [assessed by Homeostatic Model Assessment (HOMA-IR)], insulin and MS. Eighteen datasets from 2012 to 2022 were included in this meta-analysis. The standardized mean difference (SMD) for comparison IR and insulin between MS and healthy control group as outcomes 1 and 2 were 0.78 and 0.72 respectively. Furthermore, for outcome 1, we observed a greater effect size in studies that recruited different types of MS (Mix) (SMD: 1.09) than in those that included only relapsing-remitting MS (RRMS) (SMD: 0.59). The meta-analysis revealed a significant association between IR, insulin and MS, with stronger associations in studies that recruited mixed patients. However, high heterogeneity has been observed in the present study. Therefore, more studies are needed to confirm the association between these parameters and MS.