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

ABSTRACT: 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 in

SUBMITTER: Morrisette-Thomas V 

PROVIDER: S-EPMC5881904 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature