Inflamm-aging does not simply reflect increases in pro-inflammatory markers

Vincent Morrisette-Thomas, Alan A. Cohen, Tamàs Fülöp, Éléonor Riesco, Véronique Legault, Qing Li, Emmanuel Milot, Françis Dusseault-Bélanger, Luigi Ferrucci

Research output: Contribution to journalArticlepeer-review

102 Scopus citations


Many biodemographic studies use biomarkers of inflammation to understand or predict chronic disease and aging. Inflamm-aging, i.e. chronic low-grade inflammation during aging, is commonly characterized by pro-inflammatory biomarkers. However, most studies use just one marker at a time, sometimes leading to conflicting results due to complex interactions among the markers. A multidimensional approach allows a more robust interpretation of the various relationships between the markers. We applied principal component analysis (PCA) to 19 inflammatory biomarkers from the InCHIANTI study. We identified a clear, stable structure among the markers, with the first axis explaining inflammatory activation (both pro- and anti-inflammatory markers loaded strongly and positively) and the second axis innate immune response. The first but not the second axis was strongly correlated with age (r= 0.56, p

Original languageEnglish (US)
Pages (from-to)49-57
Number of pages9
JournalMechanisms of Ageing and Development
Issue number1
StatePublished - 2014
Externally publishedYes


  • Aging
  • Biomarker
  • Chronic disease
  • Inflammation
  • Multivariate

ASJC Scopus subject areas

  • Aging
  • Developmental Biology
  • Medicine(all)


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