Evidence map›Paper›PMID 29698722›Full record

ReviewAgeing research reviews2018

Multi-tissue DNA methylation age: Molecular relationships and perspectives for advancing biomarker utility.

Jamaji C Nwanaji-Enwerem, Marc G Weisskopf, Andrea A Baccarelli

Abstract readReview
In one paragraph

Review in Ageing research reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Epigenetic Age Acceleration Markers Are Associated With Physiologic Frailty and All-Cause Mortality in People With Human Immunodeficiency Virus.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  8. Article
  9. Can Night Shift Work Affect Biological Age? Hints from a Cross-Sectional Study on Hospital Female Nurses.International journal of environmental research and public health · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Molecular basis of ageing in chronic metabolic diseases.Journal of endocrinological investigation · 2020
    Review
  14. Article
  15. Relationships of Long-Term Smoking and Moist Snuff Consumption With a DNA Methylation Age Relevant Smoking Index: An Analysis in Buccal Cells.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019
    Article
  16. Article
  17. Article
  18. Review
  19. Article
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

3 authors.

Jamaji C Nwanaji-EnweremDepartment of Environmental Health, Harvard T.H. Chan School of Public Health and MD-PhD Program, Harvard Medical School, Boston, MA, USA. Electronic address: jamaji_nwanaji-enwerem@hms.harvard.edu.
Marc G WeisskopfDepartment of Environmental Health and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Andrea A BaccarelliDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA.

Funding

Training Program in Molecular and Integrative Physiological SciencesT32HL007118 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LU, QUAN · 1985 to 2025
$14.3M
Utilizing DNA Methylation Age to Understand The Effects of Fine Particles on CognitionF31AG056124 · NIA · HARVARD MEDICAL SCHOOL · PI NWANAJI-ENWEREM, JAMAJI · 2017 to 2018
$85k
NHLBI NIH HHS T32 HL007118NIA NIH HHS F31 AG056124
6 · The paper itself

Abstract

The multi-tissue DNA methylation estimator of chronological age (DNAm-age) has been associated with a wide range of exposures and health outcomes. Still, it is unclear how DNAm-age can have such broad relationships and how it can be best utilized as a biomarker. Understanding DNAm-age's molecular relationships is a promising approach to address this critical knowledge gap. In this review, we discuss the existing literature regarding DNAm-age's molecular relationships in six major categories: animal model systems, cancer processes, cellular aging processes, immune system processes, metabolic processes, and nucleic acid processes. We also present perspectives regarding the future of DNAm-age research, including the need to translate a greater number of ongoing research efforts to experimental and animal model systems.

Indexed as

AnimalsBiomarkersCellular SenescenceDNA MethylationHumansImmunity, CellularNeoplasmsBiomarkers

Identifiers

PMID29698722
PMCPMC6047923

What OpenQuestion holds

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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.