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Biological Age Variation Using the Epigenome in Parkinson's Disease Patients

파킨슨병 환자의 후성유전체를 이용한 생물학적 나이 변화

  • Jeong Hyeon Shim (Department of Biological Science, Department of Integrative Biological Science, BK21 FOUR Education Research Group for Age-Associated Disorder Control Technology, The Basic Science Institute of Chosun University, College of Natural Science, Chosun University) ;
  • Gwang-Won Cho (Department of Biological Science, Department of Integrative Biological Science, BK21 FOUR Education Research Group for Age-Associated Disorder Control Technology, The Basic Science Institute of Chosun University, College of Natural Science, Chosun University)
  • 심정현 (조선대학교 생명과학과) ;
  • 조광원 (조선대학교 생명과학과)
  • Received : 2024.12.31
  • Accepted : 2025.02.20
  • Published : 2025.06.30

Abstract

Changes in DNA methylation patterns in human genes can not only impair gene activation but also contributes to epigenetic age. To measure these changes machine learning models are used which measures the degree of changes in DNA methylation pattern. Parkinson's disease is the second most common neurodegenerative disease which affects motor function. Even though it may develop before the age of 50 due to genetic factors, the gene that causes Parkinson's disease is linked to aging, so the incidence increases with age, and most people get affected by Parkinson's disease are over the age of 50. It is a geriatric disease that occurs in older aged people. Changes in DNA methylation patterns have been observed in patients with Parkinson's disease. Therefore, the epigenetic age of patients with Parkinson's disease was measured using Epi clock, which is one of the epigenetic clock models which was trained using 6761 CpG probes from pan tissue. Additionally, the acceleration of age was measured and changes in DNA methylation patterns were confirmed. Through this, it was confirmed that although the epigenetic age of Parkinson's disease patients accelerates, the difference is small which is approximately 1 to 5 years. Even though Hypo methylation of CpG probes increased, it was to a small extent.

Keywords

Acknowledgement

이 논문은 2024년도 정부(교육부)의 재원으로 한국연구재단의 G-램프(LAMP) 사업 지원을 받아 수행된 연구임(No. RS-2023-00285353).

References

  1. Politis, M., et al., "Parkinson's disease symptoms: the patient's perspective", Mov. Disord., Vol. 25, pp. 1646-1651, 2010. https://doi.org/10.1002/mds.23135
  2. Lebouvier, T., et al., "The second brain and Parkinson's disease", Eur. J. Neurosci., Vol. 30, pp. 735-741, 2009. https://doi.org/10.1111/j.1460-9568.2009.06873.x
  3. Thomas, B. and M. F. Beal., "Parkinson's disease", Hum. Mol. Genet., Vol. 16, No. 2, pp. 183-194, 2007. https://doi.org/10.1093/hmg/ddm159
  4. Greenamyre J. T, Hastings T. G. Biomedicine., "Parkinson's—divergent causes, convergent mechanisms", Science, Vol. 304, No. 5674, pp. 1120-1122, 2004. https://doi.org/10.1126/science.1098966
  5. Tatton, W. G., et al., "Apoptosis in Parkinson's disease: signals for neuronal degradation", Ann. Neurol., Vol. 53, No. 3, pp. 61-72, 2003. https://doi.org/10.1002/ana.10489
  6. Lee, J. J., "Pharmacological Treatment in Parkinson's Disease", Journal of the Korean Neurological Association., Vol. 37, pp. 335-344, 2019. https://doi.org/10.17340/jkna.2019.4.1
  7. Schapira, A. H., "Present and future drug treatment for Parkinson's disease", J. Neurol. Neurosurg. Psychiatry, Vol. 76, pp. 1472-1478, 2005. https://doi.org/10.1136/jnnp.2004.035980
  8. Jankovic, J. and W. Poewe, "Therapies in Parkinson's disease", Curr. Opin. Neurol., Vol. 25, pp. 433-447, 2012. https://doi.org/10.1097/WCO.0b013e3283542fc2
  9. Rodriguez, M., et al., "Parkinson's disease as a result of aging", Aging Cell, Vol. 14, pp. 293-308, 2015. https://doi.org/10.1111/acel.12312
  10. Collier, T. J., N. M. Kanaan and J. H. Kordower, "Aging and Parkinson's disease: Different sides of the same coin?", Mov. Disord., Vol. 32, pp. 983-990, 2017. https://doi.org/10.1002/mds.27037
  11. Schrag, A., et al., "Young- versus older-onset Parkinson's disease: impact of disease and psychosocial consequences", Mov. Disord., Vol. 18, pp. 1250-1256, 2003. https://doi.org/10.1002/mds.10527
  12. Miranda-Morales, E., et al., "Implications of DNA Methylation in Parkinson's Disease", Front. Mol. Neurosci., Vol. 10, p. 225, 2017. https://doi.org/10.3389/fnmol.2017.00225
  13. Kukkle, P. L., et al., "Clinical Study of 668 Indian Subjects with Juvenile, Young, and Early Onset Parkinson's Disease", Can. J. Neurol. Sci., Vol. 49, pp. 93-101, 2022. https://doi.org/10.1017/cjn.2021.40
  14. Liu, S. Y., et al., "Onset-related subtypes of Parkinson's disease differ in the patterns of striatal dopaminergic dysfunction: A positron emission tomography study", Parkinsonism Relat. Disord., Vol. 21, pp. 1448-1453, 2015. https://doi.org/10.1016/j.parkreldis.2015.10.017
  15. Unnikrishnan, A., et al., "The role of DNA methylation in epigenetics of aging", Pharmacol. Ther., Vol. 195, pp. 172-185, 2019. https://doi.org/10.1016/j.pharmthera.2018.11.001
  16. Hannum, G., et al., "Genome-wide methylation profiles reveal quantitative views of human aging rates", Mol. Cell, Vol. 49, pp. 359-367, 2013. https://doi.org/10.1016/j.molcel.2012.10.016
  17. Horvath, S., "DNA methylation age of human tissues and cell types", Genome Biol., Vol. 14, p. 3156, 2013. https://doi.org/10.1186/gb-2013-14-10-r115
  18. Vijayakumar, K. A. and G. W. Cho, "Pan-tissue methylation aging clock: Recalibrated and a method to analyze and interpret the selected features", Mech. Ageing Dev., Vol. 204, p. 111676, 2022.
  19. Henderson-Smith, A., et al., "DNA methylation changes associated with Parkinson's disease progression: outcomes from the first longitudinal genome-wide methylation analysis in blood", Epigenetics, Vol. 14, pp. 365-382, 2019. https://doi.org/10.1080/15592294.2019.1588682