Aging is a complex multifactorial process that, although universal, is not fully
understood. It is known that the impact of aging on health is influenced by multiple
factors, such as sex, race, income, and education, and that age-related diseases are
strongly associated with the way people get old. The knowledge of biological aging and
its comparison to the chronological age is a paramount contributor to predict the
metabolic decline and the onset of age-related diseases.
As aging processes observed in the whole human organism are somehow the reflection
of what happens in each cell type, it is possible to study the aging process using cell
lines, such as fibroblasts.
Metabolomics analysis of cell lines, namely fibroblasts, gives inputs to personalized or
integrative medicine; in fact, cell metabolomics is an emerging field that addresses
fundamental biological and metabolic questions using modern "omic" techniques as
FTIR, NMR or MS.
This paper revises the relevance of using fibroblasts as cell models to study the
metabolome of aging.