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Epigenetic Clock Explains White Matter Hyperintensity Burden Irrespective of Chronological Age.

Joan Jiménez-BaladoEva Giralt-SteinhauerIsabel Fernández-PérezLucía ReyElisa Cuadrado GodiaMaria Pilar Gracia ArnillasAna Rodríguez-CampelloCarolina Soriano-TárragaUxue LazcanoAdrià Macias-GómezAntoni Suárez-PérezAnna RevertIsabel EstraguésBrigitte Beltrán-MármolSantiago Medrano-MartorellJaume CapelladesJaume RoquerJordi Jiménez-Conde
Published in: Biology (2022)
In this manuscript we studied the relationship between WMH and biological age (B-age) in patients with acute stroke. We included in this study 247 patients with acute stroke recruited at Hospital del Mar having both epigenetic (DNA methylation) and magnetic resonance imaging data. WMH were measured using a semi-automated method. B-age was calculated using two widely used methods: the Hannum and Horvath formulas. We used multiple linear regression models to interrogate the role of B-age on WMH volume after adjusting for chronological age (C-age) and other covariables. Average C-age of the sample was 68.4 (±11.8) and we observed a relatively high median WMH volume (median = 8.8 cm 3 , Q1-Q3 = 4.05-18.8). After adjusting for potential confounders, we observed a significant effect of B-age Hannum on WMH volume (β Hannum = 0.023, p -value = 0.029) independently of C-age, which remained significant (β C-age = 0.021, p -value = 0.036). Finally, we performed a mediation analysis, which allowed us to discover that 42.7% of the effect of C-age on WMH is mediated by B-age Hannum . On the other hand, B-age Hoarvath showed no significant associations with WMH after being adjusted for C-age. In conclusion, we show for the first time that biological age, measured through DNA methylation, contributes substantially to explain WMH volumetric burden irrespective of chronological age.
Keyphrases
  • dna methylation
  • magnetic resonance imaging
  • gene expression
  • healthcare
  • computed tomography
  • emergency department
  • white matter
  • magnetic resonance
  • genome wide
  • climate change
  • high throughput
  • single cell
  • human health