Biomarkers of aging in women and the rate of longitudinal changes.
The purposes of this study were (1) to estimate biological age score (BAS) in Japanese healthy women based on the 4-7 years longitudinal data for physiological, hematological and biochemical examinations and (2) to examine the rate of aging changes in adult women based on the estimated BAS. The samples consisted of cross-sectional (n=981) and longitudinal (n=110) groups. Out of 31 variables examined, five variables (forced expiratory volume in 1.0 s, systolic blood pressure, mean corpuscular hemoglobin, glucose, albumin/globulin ratio) that met the following criteria: 1) significant cross-sectional correlation with age; 2) significant longitudinal change in the same direction as the cross-sectional correlation; and (3) assessment of redundancy, were selected as candidate biomarkers of aging. This variable set was then submitted into a principal component analysis, and the first principal component obtained from this analysis was used as an equation for assessing one's BAS. Individual BAS showed a high longitudinal stability of age-related changes, suggesting high predictive validity of our newly developed aging measurement equation. However, changes in the aging rate based on the estimated BAS were not constant. The mean slopes of the regression lines of BAS for the three age groups (age<45, 45</=age<65 yrs, 65</=age) were 0.095, 0.065, 0.138, respectively. One-way analysis of variance detected a significant difference (F=5.14, p<0.01) among the three age groups. These results suggest that the rate of aging in adult women is relatively slower until 65 years of age, but after 65, the rate of aging shows a rapid increase. We concluded that the longitudinal method used for selection of variables to compute the BAS was useful and theoretically valid compared to those obtained from cross-sectional data analysis.
Ueno
Linda Massako
LM
Laboratory of Applied Physiology, Graduate School of Human and Environmental Studies, Kyoto University.
Yamashita
Yoshinori
Y
Moritani
Toshio
T
Nakamura
Eitaro
E
D000222:Adaptation, Physiological; D000328:Adult; D000368:Aged; D000375:Aging; D015415:Biomarkers; D001786:Blood Glucose; D001794:Blood Pressure; D001798:Blood Proteins; D003430:Cross-Sectional Studies; D005260:Female; D005541:Forced Expiratory Volume; D006454:Hemoglobins; D006801:Humans; D007564:Japan; D008137:Longitudinal Studies; D008875:Middle Aged; D011237:Predictive Value of Tests; D016387:Women's Health
D015415:Biomarkers; D001786:Blood Glucose; D001798:Blood Proteins; D006454:Hemoglobins