title: [Aging effects on blood biochemical parameters in aged women: a longitudinal study using principal component analysis].
abstract: In order to examine the aging effects on blood biochemical parameters, 25 aged females (70 +/- 8 years old at the beginning of this investigation) were studied prospectively for 7 years. Biochemical parameters were measured in 1982, 1985, 1987, and 1989. Component scores were obtained by principal component analysis applied to all of these 100 data. The data of 13 biochemical parameters and 4 component scores were analyzed for aging, cohort, and time effects by utilizing 3 types of approach i.e., longitudinal, cross-sectional, and time-series. Positive aging effects were observed on blood urea nitrogen and 4th component score. Fourth component score had positive relations to blood urea nitrogen and total bilirubin, and a negative relation to total protein. This 4th component score increased with longitudinal age changes among all cohorts divided by decade, and it increased markedly over 70 years old. These results suggest that the aging effects on biochemical parameters are related with both the decrease in glomerular and hepatocellular functions and the increase in breakdown of tissue protein.
authors.affiliation: Department of Clinical Laboratory, Yamagata University School of Medicine.
authors.forename: T
authors.initials: T
authors.lastname: Shirata
authors.forename: Y
authors.initials: Y
authors.lastname: Okuyama
authors.forename: A
authors.initials: A
authors.lastname: Fuyama
authors.forename: H
authors.initials: H
authors.lastname: Fukuyama
authors.forename: N
authors.initials: N
authors.lastname: Otsu
authors.forename: H
authors.initials: H
authors.lastname: Miura
authors.forename: I
authors.initials: I
authors.lastname: Yamaguchi
authors.forename: K
authors.initials: K
authors.lastname: Miyazawa
authors.forename: J
authors.initials: J
authors.lastname: Oda
mesh_terms: D000368:Aged; D000375:Aging / Q000097:blood*; D001774:Blood Chemical Analysis; D001806:Blood Urea Nitrogen; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D011446:Prospective Studies