Evidence map›Paper›PMID 31594536›Full record

ArticleEpigenetics & chromatin2019

Early-life DNA methylation profiles are indicative of age-related transcriptome changes.

Niran Hadad, Dustin R Masser, Laura Blanco-Berdugo, David R Stanford, Willard M Freeman

Open access · goldAbstract read
In one paragraph

Article in Epigenetics & chromatin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

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  19. Molecular basis of ageing in chronic metabolic diseases.Journal of endocrinological investigation · 2020
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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

5 authors at 2 institutions in 1 country.

Niran HadadOklahoma Center for Neuroscience, Oklahoma City, OK, USA.ORCID 0000-0001-8839-7011
Dustin R MasserReynolds Oklahoma Center on Aging, SLY-BRC 1370, 975 NE 10th St, Oklahoma City, OK, 73104, USA.
Laura Blanco-BerdugoThe Jackson Laboratory, Bar Harbor, ME, 04609, USA.
David R StanfordReynolds Oklahoma Center on Aging, SLY-BRC 1370, 975 NE 10th St, Oklahoma City, OK, 73104, USA.
Willard M FreemanOklahoma Center for Neuroscience, Oklahoma City, OK, USA. wfreeman@ouhsc.edu.ORCID 0000-0001-7027-999X
Oklahoma City University · USJackson Laboratory · US

Funding

Visualizing insulin actions on neuronal metabolism and function using fluorescent biosensorsP20GM125528 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI William Edmund Sonntag · 2019 to 2026
$17.8M
Targeted DNA Methylation and Mitochondrial Heteroplasmy CoreP30AG050911 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI William Edmund Sonntag · 2015 to 2026
$13.9M
GEROSCIENCE TRAINING PROGRAM IN OKLAHOMAT32AG052363 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Benjamin Francis Miller, William Edmund Sonntag · 2017 to 2026
$3.6M
Sex divergence and cell specificity of age-related hippocampal DNA modificationsR01AG059430 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FREEMAN, WILLARD M · 2019 to 2023
$2.7M
Sex divergence and cell specificity of age-related hippocampal DNA modificationsR56AG059430 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FREEMAN, WILLARD M · 2018 to 2018
$558k
Dynamics of the brain epigenome with agingI01BX003906 · VA · OKLAHOMA CITY VA MEDICAL CENTER · PI FREEMAN, WILLARD M · 2018 to 2021
–
BLRD VA I01 BX003906National Institute on Aging (US) T32AG052363NIA NIH HHS P30 AG050911NIA NIH HHS P30AG050911NIA NIH HHS R01AG0256161NIA NIH HHS R01 AG059430NIA NIH HHS R56 AG059430NIA NIH HHS R56AG059430NIA NIH HHS T32 AG052363NIGMS NIH HHS P20 GM125528NIGMS NIH HHS P20GM125528U.S. Department of Veterans Affairs I01BX003906
6 · The paper itself

Abstract

backgroundAlterations to cellular and molecular programs with brain aging result in cognitive impairment and susceptibility to neurodegenerative disease. Changes in DNA methylation patterns, an epigenetic modification required for various CNS functions are observed with brain aging and can be prevented by anti-aging interventions, but the relationship of altered methylation to gene expression is poorly understood.

resultsPaired analysis of the hippocampal methylome and transcriptome with aging of male and female mice demonstrates that age-related differences in methylation and gene expression are anti-correlated within gene bodies and enhancers. Altered promoter methylation with aging was found to be generally un-related to altered gene expression. A more striking relationship was found between methylation levels at young age and differential gene expression with aging. Highly methylated gene bodies and promoters in early life were associated with age-related increases in gene expression even in the absence of significant methylation changes with aging. As well, low levels of methylation in early life were correlated to decreased expression with aging. This relationship was also observed in genes altered in two mouse Alzheimer's models.

conclusionDNA methylation patterns established in youth, in combination with other epigenetic marks, were able to accurately predict changes in transcript trajectories with aging. These findings are consistent with the developmental origins of disease hypothesis and indicate that epigenetic variability in early life may explain differences in aging trajectories and age-related disease.

Indexed as

AgingDNA MethylationTranscriptomeAnimalsCpG IslandsDisease Models, AnimalDown-RegulationEpigenesis, GeneticFemaleGenomeHippocampusMaleMiceMice, Inbred C57BLNeurodegenerative DiseasesPrincipal Component AnalysisAgingDNA methylationEpigeneticsGene regulationHippocampus

Identifiers

PMID31594536
PMCPMC6781367
OpenAlexW2980158117

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.