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Mediation role of DNA methylation in association between handgrip strength and cognitive function in monozygotic twins

Abstract

Handgrip strength is a crucial indicator to monitor the change of cognitive function over time, but its mechanism still needs to be further explored. We sampled 59 monozygotic twin pairs to explore the potential mediating effect of DNA methylation (DNAm) on the association between handgrip strength and cognitive function. The initial step was the implementation of an epigenome-wide association analysis (EWAS) in the study participants, with the aim of identifying DNAm variations that are associated with handgrip strength. Following that, we conducted an assessment of the mediated effect of DNAm by the use of mediation analysis. In order to do an ontology enrichment study for CpGs, the GREAT program was used. There was a significant positive association between handgrip strength and cognitive function (β = 0.194, P < 0.001). The association between handgrip strength and DNAm of 124 CpGs was found to be statistically significant at a significance level of P < 1 × 10−4. Fifteen differentially methylated regions (DMRs) related to handgrip strength were found in genes such as SNTG2, KLB, CDH11, and PANX2. Of the 124 CpGs, 4 within KRBA1, and TRAK1 mediated the association between handgrip strength and cognitive function: each 1 kg increase in handgrip strength was associated with a potential decrease of 0.050 points in cognitive function scores, mediated by modifications in DNAm. The parallel mediating effect of these 4 CpGs was −0.081. The presence of DNAm variation associated with handgrip strength may play a mediated role in the association between handgrip strength and cognitive function.

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References

  1. Kabayama M, Mikami H, Kamide K. Factors associated with risk for assisted living among community-dwelling older Japanese. Arch Gerontol Geriatr. 2016;65:63–9.

    Article  PubMed  Google Scholar 

  2. Chang K-V, Hsu T-H, Wu W-T, Huang K-C, Han D-S. Association between sarcopenia and cognitive impairment: a systematic review and meta-analysis. J Am Med Dir Assoc. 2016;17:1164.e7–1164.e15.

    Article  PubMed  Google Scholar 

  3. Prince M, Wimo A, Guerchet M, Ali G-C, Wu Y-T, Prina M. World Alzheimer report 2015. The global impact of dementia: an analysis of prevalence, incidence, cost and trends: Alzheimer’s Disease International; 2015.

  4. Gharbi-Meliani A, Dugravot A, Sabia S, Regy M, Fayosse A, Schnitzler A, et al. The association of APOE ε4 with cognitive function over the adult life course and incidence of dementia: 20 years follow-up of the Whitehall II study. Alzheimers Res Ther. 2021;13:5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Kaivola K, Chia R, Ding J, Rasheed M, Fujita M, Menon V, et al. Genome-wide structural variant analysis identifies risk loci for non-Alzheimer’s dementias. Cell Genom. 2023;3:100316.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Sorrentino F, Fenoglio C, Sacchi L, Serpente M, Arighi A, Carandini T, et al. Klotho gene expression is decreased in peripheral blood mononuclear cells in patients with Alzheimer’s disease and frontotemporal dementia. J Alzheimers Dis. 2023;94:1225–31.

    Article  CAS  PubMed  Google Scholar 

  7. Xu Y, Sun Z, Jonaitis E, Deming Y, Lu Q, Johnson SC, et al. Apolipoprotein E moderates the association between non-APOE polygenic risk score for Alzheimer’s disease and aging on preclinical cognitive function. Alzheimers Dement. 2024;20:1063–75.

  8. Fritz NE, McCarthy CJ, Adamo DE. Handgrip strength as a means of monitoring progression of cognitive decline - A scoping review. Ageing Res Rev. 2017;35:112–23.

    Article  PubMed  Google Scholar 

  9. Liu J, Zhang T, Luo J, Chen S, Zhang D. Association between sleep duration and grip strength in U.S. Older Adults: An NHANES analysis (2011-2014). Int J Environ Res Public Health. 2023;20:3416.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Luo J, Yao W, Zhang T, Ge H, Zhang D. Exploring the bidirectional associations between handgrip strength and depression in middle and older Americans. J Psychosom Res. 2021;152:110678.

    Article  PubMed  Google Scholar 

  11. Radavelli-Bagatini S, Macpherson H, Scott D, Daly RM, Hodgson JM, Laws SM, et al. Impaired muscle function, including its decline, is related to greater long-term late-life dementia risk in older women. J Cachexia Sarcopenia Muscle. 2023;14:1508–19.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Duchowny KA, Ackley SF, Brenowitz WD, Wang J, Zimmerman SC, Caunca MR, et al. Associations between handgrip strength and dementia risk, cognition, and neuroimaging outcomes in the UK Biobank cohort study. JAMA Netw Open. 2022;5:e2218314.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Jia S, Zhao W, Ge M, Zhou L, Sun X, Zhao Y, et al. Association of handgrip strength weakness and asymmetry with incidence of motoric cognitive risk syndrome in the China Health and retirement longitudinal study. Neurology. 2023;100:e2342–e9.

    Article  PubMed  Google Scholar 

  14. McGrath R, Robinson-Lane SG, Cook S, Clark BC, Herrmann S, O’Connor ML, et al. HanDGRIP STRENGTH IS ASSOCIATED WITH POORER COGNITIVE FUNCTIONING IN AGing Americans. J Alzheimers Dis. 2019;70:1187–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Rijk JM, Roos PR, Deckx L, van den Akker M, Buntinx F. Prognostic value of handgrip strength in people aged 60 years and older: a systematic review and meta-analysis. Geriatr Gerontol Int. 2016;16:5–20.

    Article  PubMed  Google Scholar 

  16. Weaver JD, Huang MH, Albert M, Harris T, Rowe JW, Seeman TE. Interleukin-6 and risk of cognitive decline: MacArthur studies of successful aging. Neurology. 2002;59:371–8.

    Article  CAS  PubMed  Google Scholar 

  17. Raji MA, Kuo Y-F, Snih SA, Markides KS, Peek MK, Ottenbacher KJ. Cognitive status, muscle strength, and subsequent disability in older Mexican Americans. J Am Geriatr Soc. 2005;53:1462–8.

    Article  PubMed  Google Scholar 

  18. Alece Arantes Moreno I, Rodrigues de Oliveira D, Ribeiro Borçoi A, Fungaro Rissatti L, Vitorino Freitas F, Arantes LMRB, et al. Methylation of BDNF gene in association with episodic memory in women. Front Neurosci. 2023;17:1092406.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Di Francesco A, Arosio B, Falconi A, Micioni Di Bonaventura MV, Karimi M, Mari D, et al. Global changes in DNA methylation in Alzheimer’s disease peripheral blood mononuclear cells. Brain Behav Immun. 2015;45:139–44.

    Article  PubMed  Google Scholar 

  20. Peterson MD, Collins S, Meier HCS, Brahmsteadt A, Faul JD. Grip strength is inversely associated with DNA methylation age acceleration. J Cachexia Sarcopenia Muscle. 2023;14:108–15.

    Article  PubMed  Google Scholar 

  21. Li W, Christiansen L, Hjelmborg J, Baumbach J, Tan Q. On the power of epigenome-wide association studies using a disease-discordant twin design. Bioinformatics. 2018;34:4073–8.

    Article  CAS  PubMed  Google Scholar 

  22. Tan Q, Christiansen L, von Bornemann Hjelmborg J, Christensen K. Twin methodology in epigenetic studies. J Exp Biol. 2015;218:134–9.

    Article  PubMed  Google Scholar 

  23. Duan H, Ning F, Zhang D, Wang S, Zhang D, Tan Q, et al. The Qingdao twin registry: a status update. Twin Res Hum Genet. 2013;16:79–85.

    Article  PubMed  Google Scholar 

  24. Chen K-L, Xu Y, Chu A-Q, Ding D, Liang X-N, Nasreddine ZS, et al. Validation of the Chinese version of montreal cognitive assessment basic for screening mild cognitive impairment. J Am Geriatr Soc. 2016;64:e285–e90.

    Article  PubMed  Google Scholar 

  25. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53:695–9.

    Article  PubMed  Google Scholar 

  26. Peavy GM, Jenkins CW, Little EA, Gigliotti C, Calcetas A, Edland SD, et al. Community memory screening as a strategy for recruiting older adults into Alzheimer’s disease research. Alzheimers Res Ther. 2020;12:78.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Krueger F, Andrews SR. Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications. Bioinformatics. 2011;27:1571–2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Hebestreit K, Dugas M, Klein H-U. Detection of significantly differentially methylated regions in targeted bisulfite sequencing data. Bioinformatics. 2013;29:1647–53.

    Article  CAS  PubMed  Google Scholar 

  29. Jaffe AE, Irizarry RA. Accounting for cellular heterogeneity is critical in epigenome-wide association studies. Genome Biol. 2014;15:R31.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Rahmani E, Zaitlen N, Baran Y, Eng C, Hu D, Galanter J, et al. Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies. Nat Methods. 2016;13:443–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Millstein J, Zhang B, Zhu J, Schadt EE. Disentangling molecular relationships with a causal inference test. BMC Genet. 2009;10:23.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Tingley D, Yamamoto T, Hirose K, Keele L, Imai K. Mediation: R package for causal mediation analysis. J Stat Softw. 2014;59:1–38.

    Article  Google Scholar 

  33. Pedersen BS, Schwartz DA, Yang IV, Kechris KJ. Comb-p: software for combining, analyzing, grouping and correcting spatially correlated P-values. Bioinformatics. 2012;28:2986–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Wang W, Li W, Jiang W, Lin H, Wu Y, Wen Y, et al. Genome-wide DNA methylation analysis of cognitive function in middle and old-aged Chinese monozygotic twins. J Psychiatr Res. 2021;136:571–80.

    Article  PubMed  Google Scholar 

  35. Wang W, Li W, Wu Y, Tian X, Duan H, Li S, et al. Genome-wide DNA methylation and gene expression analyses in monozygotic twins identify potential biomarkers of depression. Transl Psychiatry. 2021;11:416.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. McLean CY, Bristor D, Hiller M, Clarke SL, Schaar BT, Lowe CB, et al. GREAT improves functional interpretation of cis-regulatory regions. Nat Biotechnol. 2010;28:495–501.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Wang W, Li W, Duan H, Xu C, Tian X, Li S, et al. Mediation by DNA methylation on the association of BMI and serum uric acid in Chinese monozygotic twins. Gene. 2023;850:146957.

    Article  CAS  PubMed  Google Scholar 

  38. Wang W, Yao J, Li W, Wu Y, Duan H, Xu C, et al. Epigenome-wide association study in Chinese monozygotic twins identifies DNA methylation loci associated with blood pressure. Clin Epigenetics. 2023;15:38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Moon JY, Choi SJ, Heo CH, Kim HM, Kim HS. α-Syntrophin stabilizes catalase to reduce endogenous reactive oxygen species levels during myoblast differentiation. FEBS J. 2017;284:2052–65.

    Article  CAS  PubMed  Google Scholar 

  40. Galmés S, Rupérez AI, Sánchez J, Moreno LA, Foraita R, Hebestreit A, et al. KLB and NOX4 expression levels as potential blood-based transcriptional biomarkers of physical activity in children. Sci Rep. 2023;13:5563.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Chen X, Xiang H, Yu S, Lu Y, Wu T. Research progress in the role and mechanism of Cadherin-11 in different diseases. J Cancer. 2021;12:1190–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Alexander J, Kalev O, Mehrabian S, Traykov L, Raycheva M, Kanakis D, et al. Familial early-onset dementia with complex neuropathologic phenotype and genomic background. Neurobiol Aging. 2016;42:199–204.

    Article  CAS  PubMed  Google Scholar 

  43. Samim Khan S, Janrao S, Srivastava S, Bala Singh S, Vora L, Kumar Khatri D. GSK-3β: An exuberating neuroinflammatory mediator in Parkinson’s disease. Biochem Pharmacol. 2023;210:115496.

    Article  CAS  PubMed  Google Scholar 

  44. Barel O, Malicdan MCV, Ben-Zeev B, Kandel J, Pri-Chen H, Stephen J, et al. Deleterious variants in TRAK1 disrupt mitochondrial movement and cause fatal encephalopathy. Brain. 2017;140:568–81.

    Article  PubMed  PubMed Central  Google Scholar 

  45. MacKinnon D. Introduction to Statistical Mediation Analysis (1st ed.). Routledge.

  46. MacKinnon DP, Krull JL, Lockwood CM. Equivalence of the mediation, confounding and suppression effect. Prev Sci. 2000;1:173–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. MacKinnon DP, Lockwood CM, Hoffman JM, West SG, Sheets V. A comparison of methods to test mediation and other intervening variable effects. Psychol Methods. 2002;7:83–104.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Shrout PE, Bolger N. Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychol Methods. 2002;7:422–45.

    Article  PubMed  Google Scholar 

  49. Wang Y, Tzeng J-Y, Huang Y, Maguire R, Hoyo C, Allen TK. Duration of exposure to epidural anesthesia at delivery, DNA methylation in umbilical cord blood and their association with offspring asthma in Non-Hispanic Black women. Environ Epigenet. 2023;9:dvac026.

    Article  PubMed  Google Scholar 

  50. Briollais L, Rustand D, Allard C, Wu Y, Xu J, Rajan SG, et al. DNA methylation mediates the association between breastfeeding and early-life growth trajectories. Clin Epigenetics. 2021;13:231.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Euclydes VLV, Gastaldi VD, Feltrin AS, Hoffman DJ, Gouveia G, Cogo H, et al. DNA methylation mediates a randomized controlled trial home-visiting intervention during pregnancy and the Bayley infant’s cognitive scores at 12 months of age. J Dev Orig Health Dis. 2022;13:556–65.

    Article  CAS  PubMed  Google Scholar 

  52. Luo J. Heritability and genome-wide association study of handgrip strength and lower limb motor function in twins [Master]: Qingdao University; 2023.

  53. Xu C, Zhang D, Wu Y, Tian X, Pang Z, Li S, et al. A genome-wide association study of cognitive function in Chinese adult twins. Biogerontology. 2017;18:811–9.

    Article  CAS  PubMed  Google Scholar 

  54. Samson MM, Meeuwsen IB, Crowe A, Dessens JA, Duursma SA, Verhaar HJ. Relationships between physical performance measures, age, height and body weight in healthy adults. Age Ageing. 2000;29:235–42.

    Article  CAS  PubMed  Google Scholar 

  55. Suo J, Shen X, He J, Sun H, Shi Y, He R, et al. Exploring cognitive trajectories and their association with physical performance: evidence from the China Health and Retirement Longitudinal Study. Epidemiol Health. 2023;45:e2023064.

    Article  PubMed  PubMed Central  Google Scholar 

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Correspondence to Dongfeng Zhang.

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This study followed the Helsinki Declaration and was approved by the Regional Ethics Committee of the Institutional Review Committee of Qingdao CDC.

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Supplementary information

The top five components from ReFACTor method

The results of epigenome-wide association analysis on handgrip strength (P < 1×10-4)

The CpGs significantly associated with cognitive functon(P < 0.05)

10038_2024_1247_MOESM4_ESM.tif

The bar chart of top 50 GREAT ontology enrichments potentially related to handgrip strength for CpGs (P-value < 0.05) in Model 2 by using binomial test

10038_2024_1247_MOESM5_ESM.tif

The bar chart of GREAT ontology enrichments potentially related to cognitive function for candidate CpG mediators by using binomial test in Model 3

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Liu, J., Wang, W., Luo, J. et al. Mediation role of DNA methylation in association between handgrip strength and cognitive function in monozygotic twins. J Hum Genet (2024). https://doi.org/10.1038/s10038-024-01247-4

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