Epigenetic age acceleration predicts subject-specific white matter degeneration in the human brain

被引:0
|
作者
Newman, Benjamin T. [1 ,2 ]
Danoff, Joshua S. [1 ]
Lynch, Morgan E. [3 ]
Giamberardino, Stephanie N. [4 ]
Gregory, Simon G. [4 ,5 ]
Connelly, Jessica J. [1 ]
Druzgal, T. Jason [2 ]
Morris, James P. [1 ]
机构
[1] Univ Virginia, Dept Psychol, MR4 409 Lane Rd, Charlottesville, VA 22903 USA
[2] Univ Virginia, Sch Med, Dept Radiol & Med Imaging, Charlottesville, VA USA
[3] Univ Southern Calif, Dept Psychol, Los Angeles, CA USA
[4] Duke Univ, Duke Mol Physiol Inst, Durham, NC USA
[5] Duke Univ, Dept Neurol, Durham, NC USA
关键词
brain; diffusion MRI; epigenetic; SMALL VESSEL DISEASE; SPHERICAL-DECONVOLUTION; HEART; INTEGRITY; MOVEMENT;
D O I
10.1111/acel.14426
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Epigenetic clocks provide powerful tools for estimating health and lifespan but their ability to predict brain degeneration and neuronal damage during the aging process is unknown. In this study, we use GrimAge, an epigenetic clock correlated to several blood plasma proteins, to longitudinally investigate brain cellular microstructure in axonal white matter from a cohort of healthy aging individuals. A specific focus was made on white matter hyperintensities, a visible neurological manifestation of small vessel disease, and the axonal pathways throughout each individual's brain affected by their unique white matter hyperintensity location and volume. 98 subjects over 55 years of age were scanned at baseline with 41 returning for a follow-up scan 2 years later. Using diffusion MRI lesionometry, we reconstructed subject-specific networks of affected axonal tracts and examined the diffusion cellular microstructure composition of these areas, both at baseline and longitudinally, for evidence of cellular degeneration. A chronological age-adjusted version of GrimAge was significantly correlated with baseline WMH volume and markers of neuronal decline, indicated by increased extracellular free water, increased intracellular signal, and decreased axonal signal within WMH. By isolating subject-specific axonal regions "lesioned" by crossing through a WMH, age-adjusted GrimAge was also able to predict longitudinal development of similar patterns of neuronal decline throughout the brain. This study is the first to demonstrate WMH lesionometry as a subject-specific precision imaging technique to study degeneration in aging and the first to establish a relationship between accelerated epigenetic GrimAge and brain cellular microstructure in humans.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Longitudinal fibre-specific white matter damage predicts cognitive decline in multiple sclerosis
    Koubiyr, Ismail
    Krijnen, Eva A.
    Eijlers, Anand J. C.
    Dekker, Iris
    Hulst, Hanneke E.
    Uitdehaag, Bernard M. J.
    Barkhof, Frederik
    Geurts, Jeroen J. G.
    Schoonheim, Menno M.
    BRAIN COMMUNICATIONS, 2023, 6 (01)
  • [42] A latent measure explains substantial variance in white matter microstructure across the newborn human brain
    Telford, Emma J.
    Cox, Simon R.
    Fletcher-Watson, Sue
    Anblagan, Devasuda
    Sparrow, Sarah
    Pataky, Rozalia
    Quigley, Alan
    Semple, Scott I.
    Bastin, Mark E.
    Boardman, James P.
    BRAIN STRUCTURE & FUNCTION, 2017, 222 (09) : 4023 - 4033
  • [43] Brain white matter structure and information processing speed in healthy older age
    Kuznetsova, Ksenia A.
    Maniega, Susana Munoz
    Ritchie, Stuart J.
    Cox, Simon R.
    Storkey, Amos J.
    Starr, John M.
    Wardlaw, Joanna M.
    Deary, Ian J.
    Bastin, Mark E.
    BRAIN STRUCTURE & FUNCTION, 2016, 221 (06) : 3223 - 3235
  • [44] Associations of alcohol use, HIV infection, and age with brain white matter microstructure
    Monnig, Mollie A.
    Gullett, Joseph M.
    Porges, Eric C.
    Woods, Adam J.
    Monti, Peter M.
    Tashima, Karen
    Jahanshad, Neda
    Thompson, Paul
    Nir, Talia
    Cohen, Ronald A.
    JOURNAL OF NEUROVIROLOGY, 2021, 27 (06) : 936 - 950
  • [45] Measurement of GABA and contaminants in gray and white matter in human brain in vivo
    Choi, Changho
    Bhardwaj, Paramjit P.
    Kalra, Sanjay
    Casault, Colin A.
    Yasmin, Umme S.
    Allen, Peter S.
    Coupland, Nicholas J.
    MAGNETIC RESONANCE IN MEDICINE, 2007, 58 (01) : 27 - 33
  • [46] Separate lanes for adding and reading in the white matter highways of the human brain
    Grotheer, Mareike
    Zhen, Zonglei
    Lerma-Usabiaga, Garikoitz
    Grill-Spector, Kalanit
    NATURE COMMUNICATIONS, 2019, 10 (1)
  • [47] Cardiovascular Risk Predicts White Matter Hyperintensities, Brain Atrophy and Treatment Resistance in Major Depressive Disorder: Role of Genetic Liability
    Paolini, Marco
    Maccario, Melania
    Saredi, Virginia
    Verri, Anna
    Calesella, Federico
    Raffaelli, Laura
    Lorenzi, Cristina
    Spadini, Sara
    Zanardi, Raffaella
    Colombo, Cristina
    Poletti, Sara
    Benedetti, Francesco
    ACTA PSYCHIATRICA SCANDINAVICA, 2025, : 709 - 718
  • [48] A history of previous childbirths is linked to women's white matter brain age in midlife and older age
    Voldsbekk, Irene
    Barth, Claudia
    Maximov, Ivan I.
    Kaufmann, Tobias
    Beck, Dani
    Richard, Genevive
    Moberget, Torgeir
    Westlye, Lars T.
    de Lange, Ann-Marie G.
    HUMAN BRAIN MAPPING, 2021, 42 (13) : 4372 - 4386
  • [49] Selective measurement of white matter and gray matter diffusion trace values in normal human brain
    Zacharopoulos, NG
    Narayana, PA
    MEDICAL PHYSICS, 1998, 25 (11) : 2237 - 2241
  • [50] Brain White-Matter Degeneration Due to Aging and Parkinson Disease as Revealed by Double Diffusion Encoding
    Kamiya, Kouhei
    Kamagata, Koji
    Ogaki, Kotaro
    Hatano, Taku
    Ogawa, Takashi
    Takeshige-Amano, Haruka
    Murata, Syo
    Andica, Christina
    Murata, Katsutoshi
    Feiweier, Thorsten
    Hori, Masaaki
    Hattori, Nobutaka
    Aoki, Shigeki
    FRONTIERS IN NEUROSCIENCE, 2020, 14