Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Apr 1:17:17562864241241383.
doi: 10.1177/17562864241241383. eCollection 2024.

Exploring the association between weight loss-inducing medications and multiple sclerosis: insights from the FDA adverse event reporting system database

Affiliations

Exploring the association between weight loss-inducing medications and multiple sclerosis: insights from the FDA adverse event reporting system database

Afsaneh Shirani et al. Ther Adv Neurol Disord. .

Abstract

Background: Several studies have demonstrated that early childhood and adolescent obesity are risk factors for multiple sclerosis (MS) susceptibility. Obesity is thought to share inflammatory components with MS through overproduction of pro-inflammatory adipokines (e.g., leptin) and reduction of anti-inflammatory adipokines (e.g, adiponectin). Recently, drug repurposing (i.e. identifying new indications for existing drugs) has garnered significant attention. The US Food and Drug Administration Adverse Event Reporting System (FAERS) database serves not only as a resource for mining adverse drug reactions and safety signals but also for identifying inverse associations and potential medication repurposing opportunities.

Objective: We aimed to explore the association between weight-loss-inducing drugs and MS using real-world reports from the FAERS database.

Design: Secondary analysis of existing data from the FAERS database.

Methods: We conducted a disproportionality analysis using the FAERS database between the fourth quarter of 2003 and the second quarter of 2023 to explore associations between MS and weight loss-inducing drugs. Disproportionality was quantified using the reporting odds ratio (ROR). An inverse association was defined when the upper limit of the 95% confidence interval for ROR was <1.

Results: We found an inverse association between MS and anti-diabetic weight loss-inducing drugs including semaglutide (ROR: 0.238; 95% CI: 0.132-0.429), dulaglutide (ROR: 0.165; 95% CI: 0.109-0.248), liraglutide (ROR: 0.161; 95% CI: 0.091-0.284), empagliflozin (ROR: 0.234; 95% CI: 0.146-0.377), and metformin (ROR: 0.387; 95% CI: 0.340-0.440). No inverse associations were found for other weight loss-inducing drugs such as phentermine, bupropion, topiramate, zonisamide, and amphetamine. An exception was naltrexone (ROR: 0.556; 95% CI: 0.384-0.806).

Conclusion: Our findings suggest a potential consideration for repurposing anti-diabetic weight loss-inducing drugs including semaglutide, dulaglutide, and liraglutide (glucagon-like peptide-1 receptor agonists), empagliflozin (sodium-glucose cotransporter-2 inhibitor), and metformin (biguanide), for MS. This warrants validation through rigorous methodologies and prospective studies.

Keywords: FDA Adverse Event Reporting System database; disproportionality analysis; glucagon-like peptide-1 receptor agonists; multiple sclerosis; weight loss-inducing drugs.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Disproportionality analysis illustrating the association between multiple sclerosis and weight loss-inducing drugs based on the data from the FDA Adverse Event Reporting System database. The reporting odds ratio represents the odds of a certain adverse event (in this case, ‘multiple sclerosis’) occurring with the drug of interest, compared to the odds of the same adverse event occurring with all other drugs in the database. An asterisk (*) denotes the presence of an inverse association, defined when the upper limit of the 95% CI for reporting odds ratio is less than 1. GLP-1, glucagon-like peptide-1; SGLT-2, sodium-glucose cotransporter-2.

Similar articles

Cited by

References

    1. Lutfullin I, Eveslage M, Bittner S, et al.. Association of obesity with disease outcome in multiple sclerosis. J Neurol Neurosurg Psychiatry 2023; 94: 57–61. - PMC - PubMed
    1. Huppke B, Ellenberger D, Hummel H, et al.. Association of obesity with multiple sclerosis risk and response to first-line disease modifying drugs in children. JAMA Neurol 2019; 76: 1157–1165. - PMC - PubMed
    1. Böhm R, Höcker J, Cascorbi I, et al.. OpenVigil – free eyeballs on AERS pharmacovigilance data. Nat Biotechnol 2012; 30: 137–138. - PubMed
    1. Böhm R, Bulin C, Waetzig V, et al.. Pharmacovigilance-based drug repurposing: the search for inverse signals via OpenVigil identifies putative drugs against viral respiratory infections. Br J Clin Pharmacol 2021; 87: 4421–4431. - PubMed
    1. Ellulu MS, Patimah I, Khaza’ai H, et al.. Obesity and inflammation: the linking mechanism and the complications. Arch Med Sci 2017; 13: 851–863. - PMC - PubMed

LinkOut - more resources