Literature DB >> 29084334

Association Between Brain Gene Expression, DNA Methylation, and Alteration of Ex Vivo Magnetic Resonance Imaging Transverse Relaxation in Late-Life Cognitive Decline.

Lei Yu1,2, Robert J Dawe1,3, Patricia A Boyle1,4, Chris Gaiteri1,2, Jingyun Yang1,2, Aron S Buchman1,2, Julie A Schneider1,2,5, Konstantinos Arfanakis1,6, Philip L De Jager7,8, David A Bennett1,2.   

Abstract

Importance: Alteration of ex vivo magnetic resonance imaging transverse relaxation is associated with late-life cognitive decline even after controlling for common neuropathologic conditions. However, the underlying neurobiology of this association is unknown. Objective: To investigate the association between brain gene expression, DNA methylation, and alteration of magnetic resonance imaging transverse relaxation in late-life cognitive decline. Design, Setting, and Participants: Data came from 2 community-based longitudinal cohort studies of aging and dementia, the Religious Orders Study, which began in 1993, and the Rush Memory and Aging Project, which began in 1997. All participants agreed to undergo annual clinical evaluations and to donate their brains after death. By October 24, 2016, a total of 1358 individuals had died and had brain autopsies that were approved by board-certified neuropathologists. Of those, 552 had undergone ex vivo imaging. The gene expression analysis was limited to 174 individuals with both imaging and brain RNA sequencing data. The DNA methylation analysis was limited to 225 individuals with both imaging and brain methylation data. Main Outcomes and Measures: Maps of ex vivo magnetic resonance imaging transverse relaxation were generated using fast spin echo imaging. The target was a composite measure of the transverse relaxation rate (R2) that was associated with cognitive decline after controlling for common neuropathologic conditions. Next-generation RNA sequencing and DNA methylation data were generated using frozen tissue from the dorsolateral prefrontal cortex. Genome-wide association analysis was used to investigate gene expression and, separately, DNA methylation for signals associated with the R2 measure.
Results: Of the 552 individuals with ex vivo imaging data, 394 were women and 158 were men, and the mean (SD) age at death was 90.4 (6.0) years. Four co-expressed genes (PADI2 [Ensembl ENSG00000117115], ZNF385A [Ensembl ENSG00000161642], PSD2 [Ensembl ENSG00000146005], and A2ML1 [Ensembl ENSG00000166535]) were identified, of which higher expressions were associated with slower R2. The association of R2 with cognitive decline was attenuated when the gene expression signals were added to the model, such that the mean (SE) coefficient of association was reduced from 0.028 (0.008) (P < .001) to 0.019 (0.009) (P = .03). The DNA methylation scan did not detect a genome-wide significant signal, but it revealed an anticorrelation between R2 and DNA methylation in many of the cytosine-guanine dinucleotides. Conclusions and Relevance: Brain gene expression and DNA methylation dysregulations are implicated in the alteration of brain tissue properties associated with late-life cognitive decline above and beyond the influence of common neuropathologic conditions.

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Year:  2017        PMID: 29084334      PMCID: PMC5729739          DOI: 10.1001/jamaneurol.2017.2807

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   18.302


  31 in total

1.  Conscientiousness, dementia related pathology, and trajectories of cognitive aging.

Authors:  Robert S Wilson; Patricia A Boyle; Lei Yu; Eisuke Segawa; Joel Sytsma; David A Bennett
Journal:  Psychol Aging       Date:  2015-02-09

2.  Association of DNA methylation in the brain with age in older persons is confounded by common neuropathologies.

Authors:  Jingyun Yang; Lei Yu; Christopher Gaiteri; Gyan P Srivastava; Lori B Chibnik; Sue E Leurgans; Julie A Schneider; Alexander Meissner; Philip L De Jager; David A Bennett
Journal:  Int J Biochem Cell Biol       Date:  2015-05-21       Impact factor: 5.085

Review 3.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process.

Authors:  Àlex Rovira; Mike P Wattjes; Mar Tintoré; Carmen Tur; Tarek A Yousry; Maria P Sormani; Nicola De Stefano; Massimo Filippi; Cristina Auger; Maria A Rocca; Frederik Barkhof; Franz Fazekas; Ludwig Kappos; Chris Polman; David Miller; Xavier Montalban
Journal:  Nat Rev Neurol       Date:  2015-07-07       Impact factor: 42.937

4.  The Effect of Vascular Neuropathology on Late-life Cognition: Results from the SMART Project.

Authors:  R J Kryscio; E L Abner; P T Nelson; D Bennett; J Schneider; L Yu; L S Hemmy; K O Lim; K Masaki; N Cairns; C Xiong; R Woltjer; H H Dodge; S Tyas; D W Fardo; W Lou; L Wan; F A Schmitt
Journal:  J Prev Alzheimers Dis       Date:  2016-06

5.  Postmortem MRI of human brain hemispheres: T2 relaxation times during formaldehyde fixation.

Authors:  Robert J Dawe; David A Bennett; Julie A Schneider; Sunil K Vasireddi; Konstantinos Arfanakis
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6.  Disentangling the effects of age and APOE on neuropathology and late life cognitive decline.

Authors:  Lei Yu; Patricia A Boyle; Sue Leurgans; Julie A Schneider; David A Bennett
Journal:  Neurobiol Aging       Date:  2013-10-09       Impact factor: 4.673

7.  Effect of infarcts on dementia in the Baltimore longitudinal study of aging.

Authors:  Juan C Troncoso; Alan B Zonderman; Susan M Resnick; Barbara Crain; Olga Pletnikova; Richard J O'Brien
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8.  Neuropathologic comorbidity and cognitive impairment in the Nun and Honolulu-Asia Aging Studies.

Authors:  Lon R White; Steven D Edland; Laura S Hemmy; Kathleen S Montine; Chris Zarow; Joshua A Sonnen; Jane H Uyehara-Lock; Rebecca P Gelber; G Webster Ross; Helen Petrovitch; Kamal H Masaki; Kelvin O Lim; Lenore J Launer; Thomas J Montine
Journal:  Neurology       Date:  2016-02-17       Impact factor: 9.910

9.  APOE ε4, Alzheimer's disease pathology, cerebrovascular disease, and cognitive change over the years prior to death.

Authors:  Lei Yu; Patricia Boyle; Julie A Schneider; Eisuke Segawa; Robert S Wilson; Sue Leurgans; David A Bennett
Journal:  Psychol Aging       Date:  2013-05-06

10.  Peptidylarginine deiminase: a candidate factor in demyelinating disease.

Authors:  M A Moscarello; L Pritzker; F G Mastronardi; D D Wood
Journal:  J Neurochem       Date:  2002-04       Impact factor: 5.372

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1.  Microstructural changes in the brain mediate the association of AK4, IGFBP5, HSPB2, and ITPK1 with cognitive decline.

Authors:  Namhee Kim; Lei Yu; Robert Dawe; Vladislav A Petyuk; Chris Gaiteri; Philip L De Jager; Julie A Schneider; Konstantinos Arfanakis; David A Bennett
Journal:  Neurobiol Aging       Date:  2019-07-26       Impact factor: 4.673

2.  Identifying Alzheimer's genes via brain transcriptome mapping.

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Journal:  BMC Med Genomics       Date:  2022-05-19       Impact factor: 3.622

Review 3.  Religious Orders Study and Rush Memory and Aging Project.

Authors:  David A Bennett; Aron S Buchman; Patricia A Boyle; Lisa L Barnes; Robert S Wilson; Julie A Schneider
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

4.  Systematic analysis to identify transcriptome-wide dysregulation of Alzheimer's disease in genes and isoforms.

Authors:  Cong Fan; Ken Chen; Jiaxin Zhou; Ping-Pui Wong; Dan He; Yiqi Huang; Xin Wang; Tianze Ling; Yuedong Yang; Huiying Zhao
Journal:  Hum Genet       Date:  2020-11-02       Impact factor: 4.132

5.  Genome-wide association study of rate of cognitive decline in Alzheimer's disease patients identifies novel genes and pathways.

Authors:  Richard Sherva; Alden Gross; Shubhabrata Mukherjee; Ryan Koesterer; Philippe Amouyel; Celine Bellenguez; Carole Dufouil; David A Bennett; Lori Chibnik; Carlos Cruchaga; Jorge Del-Aguila; Lindsay A Farrer; Richard Mayeux; Leanne Munsie; Ashley Winslow; Stephen Newhouse; Andrew J Saykin; John S K Kauwe; Paul K Crane; Robert C Green
Journal:  Alzheimers Dement       Date:  2020-06-23       Impact factor: 16.655

6.  Gene co-expression network for analysis of plasma exosomal miRNAs in the elderly as markers of aging and cognitive decline.

Authors:  Zheng Ye; Bo Sun; Xue Mi; Zhongdang Xiao
Journal:  PeerJ       Date:  2020-01-06       Impact factor: 2.984

7.  DNA methylation of insulin-like growth factor 2 and H19 cluster in cord blood and prenatal air pollution exposure to fine particulate matter.

Authors:  Congrong Wang; Michelle Plusquin; Akram Ghantous; Zdenko Herceg; Rossella Alfano; Bianca Cox; Tim S Nawrot
Journal:  Environ Health       Date:  2020-12-07       Impact factor: 5.984

8.  Brain ethanolamine phospholipids, neuropathology and cognition: A comparative post-mortem analysis of structurally specific plasmalogen and phosphatidyl species.

Authors:  Dayan B Goodenowe; Vijitha Senanayake
Journal:  Front Cell Dev Biol       Date:  2022-08-24

9.  Gene expression and DNA methylation are extensively coordinated with MRI-based brain microstructural characteristics.

Authors:  Chris Gaiteri; Robert Dawe; Sara Mostafavi; Katherine D Blizinsky; Shinya Tasaki; Vitalina Komashko; Lei Yu; Yanling Wang; Julie A Schneider; Konstantinos Arfanakis; Philip L De Jager; David A Bennett
Journal:  Brain Imaging Behav       Date:  2019-08       Impact factor: 3.978

10.  Potassium bisperoxo (1,10-phenanthroline) oxovanadate suppresses proliferation of hippocampal neuronal cell lines by increasing DNA methyltransferases.

Authors:  Xiao-Li Tian; Shu-Yuan Jiang; Xiao-Lu Zhang; Jie Yang; Jun-He Cui; Xiao-Lei Liu; Ke-Rui Gong; Shao-Chun Yan; Chun-Yang Zhang; Guo Shao
Journal:  Neural Regen Res       Date:  2019-05       Impact factor: 5.135

  10 in total

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