Evidence map›Paper›PMID 26087330›Full record

ArticleExperimental gerontology2015

Gene expression markers of age-related inflammation in two human cohorts.

Luke C Pilling, Roby Joehanes, David Melzer, Lorna W Harries, William Henley, Josée Dupuis, Honghuang Lin, Marcus Mitchell, Dena Hernandez, Sai-Xia Ying and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Experimental gerontology, 2015. 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
2.2field-weighted citation impact, top 13% 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, 23 citations in OpenAlex.

  1. The role of IL-33/ST2 signaling in female reproductive diseases.Frontiers in cell and developmental biology · 2026
    Review
  2. Review
  3. Article
  4. Potential Theranostic Roles of SLC4 Molecules in Human Diseases.International journal of molecular sciences · 2023
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Objectively Measured Physical Activity in Asymptomatic Middle-Aged Men Is Associated With Routine Blood-Based Biomarkers.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Article
  10. Article
  11. Article
  12. The RNA world of human ageing.Human genetics · 2018
    Review
  13. Review
  14. Aging, inflammation and the environment.Experimental gerontology · 2018
    Review
  15. Review
  16. Article
  17. Article
  18. Host Resistance and Immune Aging.Clinics in geriatric medicine · 2016
    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

17 authors at 6 institutions in 2 countries.

Luke C PillingEpidemiology and Public Health, Medical School, University of Exeter, RILD, Exeter EX2 5DW, UK.
Roby JoehanesNational Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institute of Health, Bethesda, MD, USA.
David MelzerEpidemiology and Public Health, Medical School, University of Exeter, RILD, Exeter EX2 5DW, UK.
Lorna W HarriesInstitute of Biomedical and Clinical Sciences, Medical School, University of Exeter, RILD, Exeter EX2 5DW, UK.
William HenleyInstitute for Health Services Research, University of Exeter Medical School, Exeter EX1 2LU, UK.
Josée DupuisNational Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Honghuang LinNational Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Marcus MitchellInstitute of Biomedical and Clinical Sciences, Medical School, University of Exeter, RILD, Exeter EX2 5DW, UK.
Dena HernandezLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA.
Sai-Xia YingNational Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institute of Health, Bethesda, MD, USA.
Kathryn L LunettaNational Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Emelia J BenjaminNational Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Section of Cardiovascular Medicine and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Andrew SingletonLaboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA.
Daniel LevyNational Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; The Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD, USA.
Peter MunsonNational Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institute of Health, Bethesda, MD, USA.
Joanne M MurabitoNational Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Luigi FerrucciClinical Research Branch, National Institute on Aging, Baltimore, MD, USA. Electronic address: ferruccilu@grc.nia.nih.gov.
Boston University · USUniversity of Exeter · GBCenter for Information Technology · USNational Institutes of Health · USNational Heart Lung and Blood Institute · USNational Institute on Aging · US

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
Statistical And Computational Methods For Gene Expression and Proteomic AnalysisZIACT000266 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI MUNSON, PETER J · 2009 to 2016
$4.2M
Framingham: Inflammation, Genes &Cardiovascular DiseaseR01HL076784 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J. · 2004 to 2008
$3.9M
The InChianti StudyZIAAG001050 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$2.1M
Aging and Inflammation: Longitudinal Markers and Genetics in the Framingham StudyR01AG028321 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J. · 2006 to 2010
$1.8M
Exceptional Aging Across the Life Span: Framingham StudyR01AG029451 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MURABITO, JOANNE M · 2008 to 2011
$1.3M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC025195NHLBI NIH HHS R01 HL076784NIA NIH HHS N01 AG821336NIA NIH HHS R01 AG028321NIA NIH HHS R01 AG029451Wellcome TrustWellcome Trust WT097835MF
6 · The paper itself

Abstract

introductionChronically elevated circulating inflammatory markers are common in older persons but mechanisms are unclear. Many blood transcripts (>800 genes) are associated with interleukin-6 protein levels (IL6) independent of age. We aimed to identify gene transcripts statistically mediating, as drivers or responders, the increasing levels of IL6 protein in blood at older ages.

methodsBlood derived in-vivo RNA from the Framingham Heart Study (FHS, n=2422, ages 40-92 yrs) and InCHIANTI study (n=694, ages 30-104 yrs), with Affymetrix and Illumina expression arrays respectively (>17,000 genes tested), were tested for statistical mediation of the age-IL6 association using resampling techniques, adjusted for confounders and multiple testing.

resultsIn FHS, IL6 expression was not associated with IL6 protein levels in blood. 102 genes (0.6% of 17,324 expressed) statistically mediated the age-IL6 association of which 25 replicated in InCHIANTI (including 5 of the 10 largest effect genes). The largest effect gene (SLC4A10, coding for NCBE, a sodium bicarbonate transporter) mediated 19% (adjusted CI 8.9 to 34.1%) and replicated by PCR in InCHIANTI (n=194, 35.6% mediated, p=0.01). Other replicated mediators included PRF1 (perforin, a cytolytic protein in cytotoxic T lymphocytes and NK cells) and IL1B (Interleukin 1 beta): few other cytokines were significant mediators.

conclusionsThis transcriptome-wide study on human blood identified a small distinct set of genes that statistically mediate the age-IL6 association. Findings are robust across two cohorts and different expression technologies. Raised IL6 levels may not derive from circulating white cells in age related inflammation.

Indexed as

AdultAgedAged, 80 and overAgingBiomarkersCohort StudiesFemaleGene Expression ProfilingGenetic MarkersHumansInflammationInflammation MediatorsInterleukin-6MaleMiddle AgedBiomarkersGenetic MarkersIL6 protein, humanInflammation MediatorsInterleukin-6AgingBloodEpidemiologyHumanInflammationTranscriptome

Identifiers

PMID26087330
PMCPMC4600657
OpenAlexW633498326

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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.