title: Development of a serum profile for healthy aging.
abstract: Increasing numbers of Americans are reaching 85 years of age or older, yet there are no reliable biomarkers to predict who will live this long. The goal of this pilot study therefore was: (1) to identify a potential serum pattern that could identify proteins involved in longevity and (2) to determine if this pattern was a marker of longevity in an independent sample of individuals. Serum samples were analyzed in three cohorts of individuals (n = 12 in each) aged 20-34, 60-74, and ≥ 90 years who participated in The Louisiana Healthy Aging Study. The 12 most abundant proteins were removed and the remaining proteins separated by two-dimensional gel electrophoresis. Gels were matched and the intensity of each spot quantified. Multivariate discriminant analysis was used to identify a serum pattern that could separate these three age cohorts. Seven protein spots were found that correctly distinguished the subjects into the three groups. However, these spots were not as successful in discriminating the ages in a second set of 15 individuals as only eight of these subjects were placed into their correct group. These preliminary results show that the proteomics approach can be used to identify potential proteins or markers that may be involved in the aging process and/or be important determinants of longevity.
authors.affiliation: Physiology Department, Louisiana State University Health Science Center, 1901 Perdido St, New Orleans, LA 70112, USA. lbyerl@lsuhsc.edu
authors.forename: Lauri O
authors.initials: LO
authors.lastname: Byerley
authors.forename: Larry
authors.initials: L
authors.lastname: Leamy
authors.forename: Sun W
authors.initials: SW
authors.lastname: Tam
authors.forename: Chau-Wen
authors.initials: CW
authors.lastname: Chou
authors.forename: Eric
authors.initials: E
authors.lastname: Ravussin
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000097:blood*; D015415:Biomarkers / Q000097:blood*; D001798:Blood Proteins / Q000378:metabolism; D016002:Discriminant Analysis; D015180:Electrophoresis, Gel, Two-Dimensional; D005260:Female; D006801:Humans; D008136:Longevity / Q000502:physiology; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D010865:Pilot Projects; D040901:Proteomics / Q000379:methods
chemical_list: D015415:Biomarkers; D001798:Blood Proteins