0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Effects of walking on epigenetic age acceleration: a Mendelian randomization study

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          Walking stands as the most prevalent physical activity in the daily lives of individuals and is closely associated with physical functioning and the aging process. Nonetheless, the precise cause-and-effect connection between walking and aging remains unexplored. The epigenetic clock emerges as the most promising biological indicator of aging, capable of mirroring the biological age of the human body and facilitating an investigation into the association between walking and aging. Our primary objective is to investigate the causal impact of walking with epigenetic age acceleration (EAA).

          Methods

          We conducted a two-sample two-way Mendelian randomization (MR) study to investigate the causal relationship between walking and EAA. Walking and Leisure sedentary behavior data were sourced from UK Biobank, while EAA data were gathered from a total of 28 cohorts. The MR analysis was carried out using several methods, including the inverse variance weighted (IVW), weighted median, MR-Egger, and robust adjusted profile score (RAPS). To ensure the robustness of our findings, we conducted sensitivity analyses, which involved the MR-Egger intercept test, Cochran’s Q test, and MR-PRESSO, to account for and mitigate potential pleiotropy.

          Results

          The IVW MR results indicate a significant impact of usual walking pace on GrimAge (BETA = − 1.84, 95% CI (− 2.94, − 0.75)), PhenoAge (BETA = − 1.57, 95% CI (− 3.05, − 0.08)), Horvath (BETA = − 1.09 (− 2.14, − 0.04)), and Hannum (BETA = − 1.63, 95% CI (− 2.70, − 0.56)). Usual walking pace is significantly associated with a delay in epigenetic aging acceleration (EAA) ( P < 0.05). Moreover, the direction of effect predicted by the gene remained consistent across RAPS outcomes and sensitivity MR analyses. There is a lack of robust causal relationships between other walking conditions, such as walking duration and walking frequency, on EAA ( P > 0.05).

          Conclusion

          Our evidence demonstrates that a higher usual walking pace is associated with a deceleration of the acceleration of all four classical epigenetic clocks acceleration.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13148-024-01707-w.

          Key messages

          • In recent years, observational studies have found that there is a correlation between walking and aging, but the specific relationship is not clear

          • We used a Mendelian randomization approach to test the causal effect of walking and sedentarism on epigenetic clock acceleration

          • Mendelian randomization studies have found that faster walking speed may delay physiological aging through causal analysis at the genetic level

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13148-024-01707-w.

          Related collections

          Most cited references41

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression

          Background: The number of Mendelian randomization analyses including large numbers of genetic variants is rapidly increasing. This is due to the proliferation of genome-wide association studies, and the desire to obtain more precise estimates of causal effects. However, some genetic variants may not be valid instrumental variables, in particular due to them having more than one proximal phenotypic correlate (pleiotropy). Methods: We view Mendelian randomization with multiple instruments as a meta-analysis, and show that bias caused by pleiotropy can be regarded as analogous to small study bias. Causal estimates using each instrument can be displayed visually by a funnel plot to assess potential asymmetry. Egger regression, a tool to detect small study bias in meta-analysis, can be adapted to test for bias from pleiotropy, and the slope coefficient from Egger regression provides an estimate of the causal effect. Under the assumption that the association of each genetic variant with the exposure is independent of the pleiotropic effect of the variant (not via the exposure), Egger’s test gives a valid test of the null causal hypothesis and a consistent causal effect estimate even when all the genetic variants are invalid instrumental variables. Results: We illustrate the use of this approach by re-analysing two published Mendelian randomization studies of the causal effect of height on lung function, and the causal effect of blood pressure on coronary artery disease risk. The conservative nature of this approach is illustrated with these examples. Conclusions: An adaption of Egger regression (which we call MR-Egger) can detect some violations of the standard instrumental variable assumptions, and provide an effect estimate which is not subject to these violations. The approach provides a sensitivity analysis for the robustness of the findings from a Mendelian randomization investigation.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases

            Horizontal pleiotropy occurs when the variant has an effect on disease outside of its effect on the exposure in Mendelian randomization (MR). Violation of the ‘no horizontal pleiotropy’ assumption can cause severe bias in MR. We developed the Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) test to identify horizontal pleiotropic outliers in multi-instrument summary-level MR testing. We showed using simulations that MR-PRESSO is best suited when horizontal pleiotropy occurs in <50% of instruments. Next, we applied MR-PRESSO, along with several other MR tests to complex traits and diseases, and found that horizontal pleiotropy: (i) was detectable in over 48% of significant causal relationships in MR; (ii) introduced distortions in the causal estimates in MR that ranged on average from −131% to 201%; (iii) induced false positive causal relationships in up to 10% of relationships; and (iv) can be corrected in some but not all instances.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data

              Genome-wide association studies, which typically report regression coefficients summarizing the associations of many genetic variants with various traits, are potentially a powerful source of data for Mendelian randomization investigations. We demonstrate how such coefficients from multiple variants can be combined in a Mendelian randomization analysis to estimate the causal effect of a risk factor on an outcome. The bias and efficiency of estimates based on summarized data are compared to those based on individual-level data in simulation studies. We investigate the impact of gene–gene interactions, linkage disequilibrium, and ‘weak instruments’ on these estimates. Both an inverse-variance weighted average of variant-specific associations and a likelihood-based approach for summarized data give similar estimates and precision to the two-stage least squares method for individual-level data, even when there are gene–gene interactions. However, these summarized data methods overstate precision when variants are in linkage disequilibrium. If the P-value in a linear regression of the risk factor for each variant is less than , then weak instrument bias will be small. We use these methods to estimate the causal association of low-density lipoprotein cholesterol (LDL-C) on coronary artery disease using published data on five genetic variants. A 30% reduction in LDL-C is estimated to reduce coronary artery disease risk by 67% (95% CI: 54% to 76%). We conclude that Mendelian randomization investigations using summarized data from uncorrelated variants are similarly efficient to those using individual-level data, although the necessary assumptions cannot be so fully assessed.
                Bookmark

                Author and article information

                Contributors
                lihuix@csu.edu.cn
                Journal
                Clin Epigenetics
                Clin Epigenetics
                Clinical Epigenetics
                BioMed Central (London )
                1868-7075
                1868-7083
                18 July 2024
                18 July 2024
                2024
                : 16
                : 94
                Affiliations
                [1 ]Department of Orthopedics, The Second Xiangya Hospital of Central South University, ( https://ror.org/053v2gh09) Changsha, China
                [2 ]Hunan Engineering Laboratory for Orthopedic Biomaterials, Changsha, China
                Article
                1707
                10.1186/s13148-024-01707-w
                11256679
                39026267
                156af750-eeb2-4afe-92d8-d1d61c2744f2
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 12 March 2024
                : 9 July 2024
                Funding
                Funded by: Research Project of Human Health Commission
                Award ID: 202204073071
                Award ID: 202204073071
                Award ID: 202204073071
                Award ID: 202204073071
                Award ID: 202204073071
                Award ID: 202204073071
                Award ID: 202204073071
                Award ID: 202204073071
                Award ID: 202204073071
                Award ID: 202204073071
                Award ID: 202204073071
                Award ID: 202204073071
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100012476, Fundamental Research Funds for Central Universities of the Central South University;
                Award ID: 2024ZZTS0937
                Award ID: 2024ZZTS0937
                Award ID: 2024ZZTS0937
                Award ID: 2024ZZTS0937
                Award ID: 2024ZZTS0937
                Award ID: 2024ZZTS0937
                Award ID: 2024ZZTS0937
                Award ID: 2024ZZTS0937
                Award ID: 2024ZZTS0937
                Award ID: 2024ZZTS0937
                Award ID: 2024ZZTS0937
                Award ID: 2024ZZTS0937
                Award Recipient :
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Genetics
                aging,walking,epigenetic clock,mendelian randomization study,epigenetic age acceleration,usual walking pace,grimage,hannum,phenoage,horvath

                Comments

                Comment on this article