Evidence map›Paper›PMID 39298107›Full record

ArticleGeroScience2025

Dietary factors and DNA methylation-based markers of ageing in 5310 middle-aged and older Australian adults.

Lachlan Cribb, Allison M Hodge, Melissa C Southey, Graham G Giles, Roger L Milne, Pierre-Antoine Dugué

Abstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Social relationships and epigenetic markers of aging in middle-aged and older adults: cross-sectional and prospective analyses.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  6. Article
  7. 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

6 authors.

Lachlan CribbPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3, MIMR, 27-31, Wright St, Clayton, VIC, 3168, Australia.ORCID 0000-0001-5276-5249
Allison M HodgeCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.ORCID 0000-0001-5464-2197
Melissa C SoutheyPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3, MIMR, 27-31, Wright St, Clayton, VIC, 3168, Australia.ORCID 0000-0002-6313-9005
Graham G GilesPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3, MIMR, 27-31, Wright St, Clayton, VIC, 3168, Australia.ORCID 0000-0003-4946-9099
Roger L MilnePrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3, MIMR, 27-31, Wright St, Clayton, VIC, 3168, Australia.ORCID 0000-0001-5764-7268
Pierre-Antoine DuguéPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3, MIMR, 27-31, Wright St, Clayton, VIC, 3168, Australia. pierre-antoine.dugue@monash.edu.ORCID 0000-0003-2736-3023

Funding

National Health and Medical Research Council 1011618National Health and Medical Research Council 1026892National Health and Medical Research Council 1027505National Health and Medical Research Council 1043616National Health and Medical Research Council 1050198National Health and Medical Research Council 1074383
6 · The paper itself

Abstract

The role of nutrition in healthy ageing is acknowledged but details of optimal dietary composition are still uncertain. We aimed to investigate the cross-sectional associations between dietary exposures, including macronutrient composition, food groups, specific foods, and overall diet quality, with methylation-based markers of ageing. Blood DNA methylation data from 5310 participants (mean age 59 years) in the Melbourne Collaborative Cohort Study were used to calculate five methylation-based measures of ageing: PCGrimAge, PCPhenoAge, DunedinPACE, ZhangAge, TelomereAge. For a range of dietary exposures, we estimated (i) the 'equal-mass substitution effect', which quantifies the effect of adding the component of interest to the diet while keeping overall food mass constant, and (ii) the 'total effect', which quantifies the effect of adding the component of interest to the current diet. For 'equal-mass substitution effects', the strongest association for macronutrients was for fibre intake (e.g. DunedinPACE, per 12 g/day - 0.10 [standard deviations]; 95%CI - 0.15, - 0.05, p < 0.001). Associations were positive for protein (e.g. PCGrimAge, per 33 g/day 0.04; 95%CI 0.01-0.08, p = 0.005). For food groups, the evidence tended to be weak, though sugar-sweetened drinks showed positive associations, as did artificially-sweetened drinks (e.g. DunedinPACE, per 91 g/day 0.06, 95%CI 0.03-0.08, p < 0.001). 'Total effect' estimates were generally very similar. Scores reflecting overall diet quality suggested that healthier diets were associated with lower levels of ageing markers. High intakes of fibre and low intakes of protein and sweetened drinks, as well as overall healthy diets, showed the most consistent associations with lower methylation-based ageing in our study.

Indexed as

AgingDietDNA MethylationAgedAustraliaBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedBiomarkersBiological ageDiet compositionDiet qualityEpigenetic ageingEpigenetic clocks

Identifiers

PMID39298107
PMCPMC11978581

What OpenQuestion holds

Textmetadata
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.