Evaluating measures of hematology and blood chemistry in male rhesus monkeys as biomarkers of aging.
Reliable and valid biomarkers of aging can provide valuable tools for examining the effectiveness of interventions that may influence the rate of aging processes. However, a standardized method for identifying biomarkers of aging has yet to be developed. The current analysis focused on hematology and blood chemistry variables obtained from a 5-year longitudinal study of male rhesus monkeys (N = 29) on a diet restriction regime known to retard aging processes and extend lifespan in laboratory rodents (70% of the diet intake of controls). For the current analysis, the major screening criteria for identifying candidate biomarkers of aging were cross-sectional and longitudinal correlation with chronological age (CA) and stability of individual differences. Six potential variables from the battery of blood chemistry tests were identified: 1) serum glutamic oxalacetic transaminase; 2) alkaline phosphatase; 3) total protein; 4) globulin; 5) blood urea nitrogen to creatinine ratio; and 6) phosphates. When submitted to principle component analysis, these variables loaded onto a single component that accounted for over 50% of the total variance to indicate marked covariance among them. By applying the factor score coefficients from the first principle component, an equation was derived for estimating a biological age score (BAS) for each individual monkey. A comparison of BAS between control and diet-restricted monkeys revealed no statistically significant difference at present; however, the slope of the regression of BAS onto CA appeared steeper for the control group compared to the experimental group. Thus, while demonstration of the validity of the candidate biomarkers awaits further evidence, a strategy by which additional biomarkers of aging can be identified is proposed as an improvement over past approaches.
Molecular Physiology and Genetics Section, Nathan W. Shock Laboratories, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224.
E
E
Nakamura
M A
MA
Lane
G S
GS
Roth
R G
RG
Cutler
D K
DK
Ingram
D000375:Aging / Q000097:blood*; D000469:Alkaline Phosphatase / Q000097:blood; D000818:Animals; D001219:Aspartate Aminotransferases / Q000097:blood; D015415:Biomarkers / Q000097:blood*; D001798:Blood Proteins / Q000378:metabolism; D001806:Blood Urea Nitrogen; D003404:Creatinine / Q000097:blood; D003430:Cross-Sectional Studies; D004032:Diet; D008137:Longitudinal Studies; D008253:Macaca mulatta / Q000097:blood*; D008297:Male; D015999:Multivariate Analysis; D010710:Phosphates / Q000097:blood; D012712:Serum Globulins / Q000378:metabolism
D015415:Biomarkers; D001798:Blood Proteins; D010710:Phosphates; D012712:Serum Globulins; D003404:Creatinine; D001219:Aspartate Aminotransferases; D000469:Alkaline Phosphatase