Physical activity and risk of multiple sclerosis: A Mendelian randomization study

Li, Chunyu; Lin, Junyu; Yang, Tianmi; Yi, Xun; Jiang, Qirui; Shang, Huifang

doi:10.3389/fimmu.2022.872126

Cited by 7 publications

(9 citation statements)

References 30 publications

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“…The role of obesity and low physical activity in increasing inflammation has been proven in the general population and MS patients (6,8,32). On the other hand, it seems that one of the proposed mechanisms for depression, anxiety, and fatigue in MS patients is cytokine storm and the peripheral and central inflammatory and immunological pathways (33)(34)(35).…”

Section: Discussionmentioning

confidence: 99%

“…Both obesity and physical inactivity are reported as MS risk factors ( 8 , 30 ). One proposed mechanism for preventing the effects of physical activity for MS risk is causing an increment in T regulatory cells, a decrease in the secretion of immunoglobulin, a shift of the Th1/Th2 balance, and a reduction in inflammation ( 8 ). In addition, exercise could protect MS by modulating immune factors and stress hormones ( 8 ).…”

Section: Discussionmentioning

confidence: 99%

“…One proposed mechanism for preventing the effects of physical activity for MS risk is causing an increment in T regulatory cells, a decrease in the secretion of immunoglobulin, a shift of the Th1/Th2 balance, and a reduction in inflammation ( 8 ). In addition, exercise could protect MS by modulating immune factors and stress hormones ( 8 ). It seems the underlying mechanism in the association between obesity and elevated risk of MS refers to a significant increase in leptin level as an adipose tissue hormone that has a role in adaptive and innate immunity ( 31 ).…”

Section: Discussionmentioning

confidence: 99%

“…Weight and physical activity are two samples of lifestyle factors. Obesity and low physical activity are linked with the risk of very chronic disorders through the inflammatory pathways and multiple sclerosis (5)(6)(7)(8).…”

Section: Introductionmentioning

confidence: 99%

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Association of body mass index and physical activity with fatigue, depression, and anxiety among Iranian patients with multiple sclerosis

et al. 2023

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IntroductionDepression, fatigue, and anxiety are three common clinical comorbidities of multiple sclerosis (MS). We investigated the role of physical activity (PA) level and body mass index (BMI) as modifiable lifestyle factors in these three comorbidities.MethodsA cross-sectional study was conducted in the MS specialist clinic of Sina Hospital, Tehran, Iran. Demographic and clinical data were collected. BMI was categorized in accordance with the WHO’s standard classification. Physical activity (PA) level and sitting time per day were obtained using the short form of the International Physical Activity Questionnaire (IPAQ-SF). Fatigue, anxiety, and depression scores were measured using the Persian version of the Fatigue Severity Scale (FSS), Beck Anxiety Inventory (BAI), and Beck’s Depression Inventory II (BDI-II) questionnaires, respectively. The correlation between the metabolic equivalent of tasks (MET), BMI, and daily sitting hours with depression, anxiety, and fatigue were checked using the linear regression test. The normal BMI group was considered a reference, and the difference in quantitative variables between the reference and the other groups was assessed using an independent sample t-test. Physical activity was classified with tertiles, and the difference in depression, anxiety, and fatigue between the PA groups was evaluated by a one-way ANOVA test.ResultsIn total, 85 MS patients were recruited for the study. The mean ± SD age of the participants was 39.07 ± 8.84 years, and 72.9% (n: 62) of them were female. The fatigue score was directly correlated with BMI (P: 0.03; r: 0.23) and sitting hours per day (P: 0.01; r: 0.26) and indirectly correlated with PA level (P < 0.01; r: −0.33). Higher depression scores were significantly correlated with elevated daily sitting hours (P: 0.01; r: 0.27). However, the correlation between depression with PA and BMI was not meaningful (p > 0.05). Higher anxiety scores were correlated with BMI (P: 0.01; r: 0.27) and lower PA (P: 0.01; r: −0.26). The correlation between anxiety and sitting hours per day was not significant (p > 0.05). Patients in the type I obesity group had significantly higher depression scores than the normal weight group (23.67 ± 2.30 vs. 14.05 ± 9.12; P: 0.001). Fatigue (32.61 ± 14.18 vs. 52.40 ± 12.42; P: <0.01) and anxiety (14.66 ± 9.68 vs. 27.80 ± 15.48; P: 0.01) scores were significantly greater among participants in the type II obesity group in comparison with the normal weight group. Fatigue (P: 0.01) and anxiety (P: 0.03) scores were significantly different in the three levels of PA, but no significant difference was found in the depression score (P: 0.17).ConclusionOur data suggest that a physically active lifestyle and being in the normal weight category are possible factors that lead to lower depression, fatigue, and anxiety in patients with MS.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Association of body mass index and physical activity with fatigue, depression, and anxiety among Iranian patients with multiple sclerosis

et al. 2023

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“…Li, Lin, et al (2022) performed an MR considering, as different exposures, five questionnaires investigated different aspects of physical activity: (i) moderate‐to‐vigorous physical activity (MVPA), (ii) vigorous physical activity (VPA), (iii) overall acceleration average (AccAve), (iv) ≥2–3 days/week doing sports (SSOE) and (v) overall activity (OA). MVPA (OR = .27 [95% CI: .14–.52], p < .001), AccAve (OR = .87 [95% CI: .80–.96], p = .003) and OA (OR = .36 [95% CI: .17–.76], p = .007) showed significant causal estimates, providing further evidence that moderate physical activity is causally involved in decreasing the risk of MS.…”

Section: Resultsmentioning

confidence: 99%

A systematic review of Mendelian randomization studies on multiple sclerosis

Fazia

Baldrighi

Nova

et al. 2023

Eur J of Neuroscience

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Mendelian randomization (MR) is a powerful approach for assessing the causal effect of putative risk factors on an outcome, using genetic variants as instrumental variables. The methodology and application developed in the framework of MR have been dramatically improved, taking advantage of the many public genome‐wide association study (GWAS) data. The availability of summary‐level data allowed to perform numerous MR studies especially for complex diseases, pinpointing modifiable exposures causally related to increased or decreased disease risk. Multiple sclerosis (MS) is a complex multifactorial disease whose aetiology involves both genetic and non‐genetic risk factors and their interplay. Previous observational studies have revealed associations between candidate modifiable exposures and MS risk; although being prone to confounding, and reverse causation, these studies were unable to draw causal conclusions. MR analysis addresses the limitations of observational studies and allows to establish reliable and accurate causal conclusions. Here, we systematically reviewed the studies evaluating the causal effect, through MR, of genetic and non‐genetic exposures on MS risk. Among 107 papers found, only 42 were eligible for final evaluation and qualitative synthesis. We found that, above all, low vitamin D levels and high adult body mass index (BMI) appear to be uncontested risk factors for increased MS risk.

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Identification of crucial inflammaging related risk factors in multiple sclerosis

Xu,

Wang,

Ren

et al. 2024

Front. Mol. Neurosci.

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BackgroundMultiple sclerosis (MS) is an immune-mediated disease characterized by inflammatory demyelinating lesions in the central nervous system. Studies have shown that the inflammation is vital to both the onset and progression of MS, where aging plays a key role in it. However, the potential mechanisms on how aging-related inflammation (inflammaging) promotes MS have not been fully understood. Therefore, there is an urgent need to integrate the underlying mechanisms between inflammaging and MS, where meaningful prediction models are needed.MethodsFirst, both aging and disease models were developed using machine learning methods, respectively. Then, an integrated inflammaging model was used to identify relative risk factors, by identifying essential “aging-inflammation-disease” triples. Finally, a series of bioinformatics analyses (including network analysis, enrichment analysis, sensitivity analysis, and pan-cancer analysis) were further used to explore the potential mechanisms between inflammaging and MS.ResultsA series of risk factors were identified, such as the protein homeostasis, cellular homeostasis, neurodevelopment and energy metabolism. The inflammaging indices were further validated in different cancer types. Therefore, various risk factors were integrated, and even both the theories of inflammaging and immunosenescence were further confirmed.ConclusionIn conclusion, our study systematically investigated the potential relationships between inflammaging and MS through a series of computational approaches, and could present a novel thought for other aging-related diseases.

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Physical activity and risk of multiple sclerosis: A Mendelian randomization study

Cited by 7 publications

References 30 publications

Association of body mass index and physical activity with fatigue, depression, and anxiety among Iranian patients with multiple sclerosis

Association of body mass index and physical activity with fatigue, depression, and anxiety among Iranian patients with multiple sclerosis

A systematic review of Mendelian randomization studies on multiple sclerosis

Identification of crucial inflammaging related risk factors in multiple sclerosis

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