Evidence map›Paper›PMID 32926115›Full record

ArticleJAMA network open2020

Association of Epigenetic Metrics of Biological Age With Cortical Thickness.

Amy L Proskovec, Michael T Rezich, Jennifer O'Neill, Brenda Morsey, Tina Wang, Trey Ideker, Susan Swindells, Howard S Fox, Tony W Wilson

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Epigenetics in Alzheimer's Disease: A Critical Overview.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Cellular senescence in brain aging and cognitive decline.Frontiers in aging neuroscience · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Amy L ProskovecCenter for Magnetoencephalography, University of Nebraska Medical Center, Omaha.
Michael T RezichCenter for Magnetoencephalography, University of Nebraska Medical Center, Omaha.
Jennifer O'NeillDepartment of Internal Medicine, Division of Infectious Diseases, University of Nebraska Medical Center, Omaha.
Brenda MorseyDepartment of Neurological Sciences, University of Nebraska Medical Center, Omaha.
Tina WangDepartment of Medicine, University of California San Diego, La Jolla.
Trey IdekerDepartment of Medicine, University of California San Diego, La Jolla.
Susan SwindellsDepartment of Internal Medicine, Division of Infectious Diseases, University of Nebraska Medical Center, Omaha.
Howard S FoxDepartment of Neurological Sciences, University of Nebraska Medical Center, Omaha.
Tony W WilsonCenter for Magnetoencephalography, University of Nebraska Medical Center, Omaha.
University of Nebraska Medical Center · USUniversity of California, San Diego · US

Funding

Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GENDELMAN, HOWARD E · 2000 to 2021
$37.7M
Translational Imaging and Behavioral Assessment (TIBA) CoreP20GM130447 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Anna Dunaevsky · 2020 to 2026
$20.7M
MULTIMODAL IMAGING OF NEUROHIV DYNAMICS (MIND): AN OMAHA-PITTSBURGH CONSORTIUMR01MH118013 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WILSON, TONY W · 2018 to 2022
$4.9M
THE PROGRESSIVE ELEVATION OF SPONTANEOUS CORTICAL ACTIVITY IN HAND (PESCAH) PROJECTR01MH116782 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WILSON, TONY W · 2018 to 2022
$3.4M
Neurophysiological markers of HAND and the impact of aging: Evidence from MEGR01MH103220 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WILSON, TONY W · 2014 to 2018
$2.5M
NIGMS NIH HHS P20 GM130447NIMH NIH HHS P30 MH062261NIMH NIH HHS R01 MH103220NIMH NIH HHS R01 MH116782NIMH NIH HHS R01 MH118013
6 · The paper itself

Abstract

Importance: Magnetic resonance imaging (MRI) studies of aging adults have shown substantial intersubject variability across various brain metrics, and some of this variability is likely attributable to chronological age being an imprecise measure of age-related change. Accurately quantifying one's biological age could allow better quantification of healthy and pathological changes in the aging brain. Objective: To investigate the association of DNA methylation (DNAm)-based biological age with cortical thickness and to assess whether biological age acceleration compared with chronological age captures unique variance in cortical thinning. Design, Setting, and Participants: This cross-sectional study used high-resolution structural brain MRI data collected from a sample of healthy aging adults who were participating in a larger ongoing neuroimaging study that began in May 2014. This population-based study accrued participants from the greater Omaha, Nebraska, metropolitan area. One hundred sixty healthy adults were contacted for the MRI component, 82 of whom participated in both DNAm and MRI study components. Data analysis was performed from March to June 2019. Main Outcomes and Measures: Vertexwise cortical thickness, DNAm-based biological age, and biological age acceleration compared with chronological age were measured. A pair of multivariable regression models were computed in which cortical thickness was regressed on DNAm-based biological age, controlling for sex in the first model and also controlling for chronological age in the second model. Results: Seventy-nine adult participants (38 women; mean [SD] age, 43.82 [14.50] years; age range, 22-72 years) were included in all final analyses. Advancing biological age was correlated with cortical thinning across frontal, superior temporal, inferior parietal, and medial occipital regions. In addition, biological age acceleration relative to chronological age was associated with cortical thinning in orbitofrontal, superior and inferior temporal, somatosensory, parahippocampal, and fusiform regions. Specifically, for every 1 year of biological age acceleration, cortical thickness would be expected to decrease by 0.024 mm (95% CI, -0.04 to -0.01 mm) in the left orbitofrontal cortex (partial r, -0.34; P = .002), 0.014 mm (95% CI, -0.02 to -0.01 mm) in the left superior temporal gyrus (partial r, -0.36; P = .001), 0.015 mm (95% CI, -0.02 to -0.01 mm) in the left fusiform gyrus (partial r, -0.38; P = .001), 0.015 mm (95% CI, -0.02 to -0.01 mm) in the right fusiform gyrus (partial r, -0.43; P < .001), 0.019 mm (95% CI, -0.03 to -0.01 mm) in the right inferior temporal sulcus (partial r, -0.34; P = .002), and 0.011 mm (95% CI, -0.02 to -0.01 mm) in the right primary somatosensory cortex (partial r, -0.37; P = .001). Conclusions and Relevance: To our knowledge, this is the first study to investigate vertexwise cortical thickness in relation to DNAm-based biological age, and the findings suggest that this metric of biological age may yield additional insight on healthy and pathological cortical aging compared with standard measures of chronological age alone.

Indexed as

AgingBrainAdultAgedCellular SenescenceCross-Sectional StudiesDNA MethylationEpigenesis, GeneticFemaleHumansMagnetic Resonance ImagingMaleOrgan Size

Identifiers

PMID32926115
PMCPMC7490648
OpenAlexW3084814483

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.