Evidence map›Paper›PMID 26343147›Full record

ArticleGenome biology2015

A novel multi-tissue RNA diagnostic of healthy ageing relates to cognitive health status.

Sanjana Sood, Iain J Gallagher, Katie Lunnon, Eric Rullman, Aoife Keohane, Hannah Crossland, Bethan E Phillips, Tommy Cederholm, Thomas Jensen, Luc J C van Loon and 7 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 2 pooled it
6.7field-weighted citation impact, top 2% 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

146 citing papers in PubMed, 2 syntheses or guidelines pooled it, 241 citations in OpenAlex.

  1. Meta-Analysis of Transcriptomic Studies of Blood and Six Brain Regions Identifies a Consensus of 15 Cross-Tissue Mechanisms in Alzheimer's Disease and Suggests an Origin of Cross-Study Heterogeneity.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025
    Pooled it
  2. Pooled it
  3. Trial
  4. Change in the Rate of Biological Aging in Response to Caloric Restriction: CALERIE Biobank Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
    Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 9 institutions in 5 countries.

Sanjana SoodXRGenomics Ltd, London, UK.
Iain J GallagherXRGenomics Ltd, London, UK.
Katie LunnonDepartment of Old Age Psychiatry, King's College London, London, UK.
Eric RullmanDivision of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden.
Aoife KeohaneDepartment of Old Age Psychiatry, King's College London, London, UK.
Hannah CrosslandDivision of Genetics & Molecular Medicine, King's College London, 8th Floor, Tower Wing, Guy's Hospital, London, SE1 9RT, UK.
Bethan E PhillipsSchool of Medicine, Derby Royal Hospital, Derbyshire, UK.
Tommy CederholmDepartment of Public Health, Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden.
Thomas JensenMedical Prognosis Institute A/S, Hørsholm, Denmark.
Luc J C van LoonNUTRIM, Maastricht University, Maastricht, The Netherlands.
Lars LannfeltDepartment of Public Health and Caring Sciences/Molecular Geriatrics, Uppsala University, Uppsala, Sweden.
William E KrausDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
Philip J AthertonSchool of Medicine, Derby Royal Hospital, Derbyshire, UK.
Robert HowardDepartment of Old Age Psychiatry, King's College London, London, UK.
Thomas GustafssonDivision of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden.
Angela HodgesDepartment of Old Age Psychiatry, King's College London, London, UK.
James A TimmonsXRGenomics Ltd, London, UK. james.timmons@kcl.ac.uk.
King's College London · GBGuy's Hospital · GBKarolinska University Hospital · SERoyal Derby Hospital · GBUppsala University · SEDuke University · USMaastricht University · NLMedical Prognosis Institute (Denmark) · DKUniversity of Stirling · GB

Funding

Medical Research Council G1100015Medical Research Council G1100015/1
6 · The paper itself

Abstract

backgroundDiagnostics of the human ageing process may help predict future healthcare needs or guide preventative measures for tackling diseases of older age. We take a transcriptomics approach to build the first reproducible multi-tissue RNA expression signature by gene-chip profiling tissue from sedentary normal subjects who reached 65 years of age in good health.

resultsOne hundred and fifty probe-sets form an accurate classifier of young versus older muscle tissue and this healthy ageing RNA classifier performed consistently in independent cohorts of human muscle, skin and brain tissue (n = 594, AUC = 0.83-0.96) and thus represents a biomarker for biological age. Using the Uppsala Longitudinal Study of Adult Men birth-cohort (n = 108) we demonstrate that the RNA classifier is insensitive to confounding lifestyle biomarkers, while greater gene score at age 70 years is independently associated with better renal function at age 82 years and longevity. The gene score is 'up-regulated' in healthy human hippocampus with age, and when applied to blood RNA profiles from two large independent age-matched dementia case-control data sets (n = 717) the healthy controls have significantly greater gene scores than those with cognitive impairment. Alone, or when combined with our previously described prototype Alzheimer disease (AD) RNA 'disease signature', the healthy ageing RNA classifier is diagnostic for AD.

conclusionsWe identify a novel and statistically robust multi-tissue RNA signature of human healthy ageing that can act as a diagnostic of future health, using only a peripheral blood sample. This RNA signature has great potential to assist research aimed at finding treatments for and/or management of AD and other ageing-related conditions.

Indexed as

CognitionHealth StatusAdultAgedAgingBiomarkersBrainFemaleGene Expression ProfilingHumansMaleMiddle AgedMuscle, SkeletalPhenotypeReproducibility of ResultsRNABiomarkersRNA

Identifiers

PMID26343147
PMCPMC4561473
OpenAlexW2099535442

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.