Evidence map›Paper›PMID 39888134›Full record

ArticleAging cell2025

A novel framework to build saliva-based DNA methylation biomarkers: Quantifying systemic chronic inflammation as a case study.

Lisa J Schmunk, Toby P Call, Daniel L McCartney, Hira Javaid, Waylon J Hastings, Vanja Jovicevic, Dragoljub Kojadinović, Natacha Tomkinson, Eliska Zlamalova, Kirsty C McGee and 15 more

Abstract readEvaluation Study
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Salivary exosomalFrontiers in cellular and infection microbiology · 2026
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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

25 authors.

Lisa J SchmunkHurdle.Bio/Chronomics Ltd., London, UK.ORCID 0009-0009-0879-462X
Toby P CallHurdle.Bio/Chronomics Ltd., London, UK.
Daniel L McCartneyCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Hira JavaidHurdle.Bio/Chronomics Ltd., London, UK.
Waylon J HastingsDepartment of Psychiatry and Behavioral Sciences, Tulane University School of Medicine, New Orleans, Louisiana, USA.ORCID 0000-0003-0875-2568
Vanja JovicevicHurdle.Bio/Chronomics Ltd., London, UK.
Dragoljub KojadinovićHurdle.Bio/Chronomics Ltd., London, UK.
Natacha TomkinsonHurdle.Bio/Chronomics Ltd., London, UK.
Eliska ZlamalovaHurdle.Bio/Chronomics Ltd., London, UK.
Kirsty C McGeeMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Jack SullivanMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Archie CampbellCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Andrew M McIntoshCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Veronika ÓváriBayer Consumer Care AG, Basel, Switzerland.
Karl WishartBayer Consumer Care AG, Basel, Switzerland.
Christian E BehrensBayer HealthCare LLC, Whippany, New Jersey, USA.
Emma StoneHurdle.Bio/Chronomics Ltd., London, UK.
Miloš GavrilovHurdle.Bio/Chronomics Ltd., London, UK.
Rob ThompsonHurdle.Bio/Chronomics Ltd., London, UK.
Hurdle bio‐infrastructure teamHurdle.Bio/Chronomics Ltd., London, UK.
Thomas JacksonMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Janet M LordMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.ORCID 0000-0003-1030-6786
Thomas M StubbsHurdle.Bio/Chronomics Ltd., London, UK.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Daniel E Martin-HerranzHurdle.Bio/Chronomics Ltd., London, UK.

Funding

Bayer Consumer HealthChief Scientist Office, Scottish Government Health and Social Care Directorate CZD/16/6Medical Research CouncilNational Alliance for Research on Schizophrenia and Depression 27404Royal College of Physicians of EdinburghScottish Funding Council HR03006Wellcome TrustWellcome Trust 104036/Z/14/ZWellcome Trust 216767/Z/19/ZWellcome Trust 220857/Z/20/Z
6 · The paper itself

Abstract

Accessible and non-invasive biomarkers that measure human ageing processes and the risk of developing age-related disease are paramount in preventative healthcare. Here, we describe a novel framework to train saliva-based DNA methylation (DNAm) biomarkers that are reproducible and biologically interpretable. By leveraging a reliability dataset with replicates across tissues, we demonstrate that it is possible to transfer knowledge from blood DNAm to saliva DNAm data using DNAm proxies of blood proteins (EpiScores). We apply these methods to create a new saliva-based epigenetic clock (InflammAge) that quantifies systemic chronic inflammation (SCI) in humans. Using a large blood DNAm human cohort with linked electronic health records and over 18,000 individuals (Generation Scotland), we demonstrate that InflammAge significantly associates with all-cause mortality, disease outcomes, lifestyle factors, and immunosenescence; in many cases outperforming the widely used SCI biomarker C-reactive protein (CRP). We propose that our biomarker discovery framework and InflammAge will be useful to improve understanding of the molecular mechanisms underpinning human ageing and to assess the impact of gero-protective interventions.

Indexed as

BiomarkersDNA MethylationInflammationSalivaAdultAgedAgingChronic DiseaseFemaleHumansMaleMiddle AgedBiomarkersageingbiomarkerDNA methylationepigenetic clockinflammageingmachine learningsystemic chronic inflammation (SCI)

Identifiers

PMID39888134
PMCPMC11984670

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.