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Epigenetic Regulation01:37

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Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
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Updated: Aug 25, 2025

Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain
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Epigenetic clock analysis in methamphetamine dependence.

Yukihiro Takemura1, Takaki Tanifuji2, Satoshi Okazaki2

  • 1Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan; Department of Psychiatry, Fukko-kai Tarumi Hospital, Kobe, Japan.

Psychiatry Research
|October 16, 2022
PubMed
Summary

Methamphetamine dependence accelerates biological aging, indicated by epigenetic changes in DNA methylation (DNAm). This study found faster aging in patients compared to controls, affecting key age-predictive factors.

Keywords:
AgingBeta-2-microglobulinDNA methylationDrug abuse

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Area of Science:

  • Epigenetics
  • Toxicology
  • Aging Research

Background:

  • Methamphetamine (MA) abuse poses significant global health and social challenges.
  • MA impacts multiple organ systems, leading to neuropsychiatric, cardiovascular, and infectious diseases.
  • Epigenetic modifications, specifically DNA methylation (DNAm), are linked to MA abuse phenotypes and biological aging.

Purpose of the Study:

  • To investigate biological aging acceleration in individuals with MA dependence.
  • To analyze changes in DNA methylation age and DNA methylation-based telomere length (DNAmTL) in MA dependence.
  • To identify specific age-predictive factors altered by MA dependence.

Main Methods:

  • Compared DNAm profiles from whole-blood samples of 24 MA-dependent patients and 24 healthy controls.
  • Utilized five DNAm age measures (HorvathAge, HannumAge, SkinBloodAge, PhenoAge, GrimAge) and DNAmTL.
  • Assessed DNAm-based age-predictive factors including plasma proteins and blood cell composition.

Main Results:

  • MA dependence was associated with significant acceleration in PhenoAge and GrimAge.
  • A trend towards significant acceleration in DNAmTL was observed in MA-dependent patients.
  • Adjusted analyses revealed significant accelerations in PhenoAge, GrimAge, and DNAmTL, alongside alterations in beta-2-microglobulin, granulocytes, and naive CD4+ T cells.

Conclusions:

  • Methamphetamine dependence is linked to accelerated biological aging.
  • Specific epigenetic changes in age-predictive factors are associated with MA dependence.
  • Findings highlight the impact of MA on aging processes and suggest potential biomarkers.