| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|---|
|
|
|
|||||||
|
|||||||||
a Department of Pathology and Geriatrics Center, University of Michigan School of Medicine
b Institute of Gerontology
c Ann Arbor DVA Medical Center, Ann Arbor
Richard A. Miller, Geriatrics Center, Box 0940, University of Michigan School of Medicine, Ann Arbor, MI 48109-0940 E-mail: millerr{at}umich.edu.
Decision Editor: Edward J. Masoro, PhD
Seven T-cell subset values were measured in each of 559 mice at 8 months of age, and then again in the 494 animals that reached 18 months of age. The group included virgin males, virgin females, and mated females, and it was produced by using a four-way cross-breeding system that generates genetic heterogeneity equivalent to a very large sibship. An analysis of covariance showed that four T-cell subsets—CD4, CD4 memory, CD4 naïve, and CD4 cells expressing P-glycoprotein—were significant predictors (p < .003) of longevity when measured at 18 months of age after adjustment for the possible effects of gender and mating. The subset marked by CD4 and P-glycoprotein expression showed a significant interaction effect: this subset predicted longevity only in males. Among subsets measured when the mice were 8 months of age, only the levels of CD8 memory cells predicted longevity (p = .016); the prognostic value of this subset was largely limited to mated females. A cluster analysis that separated mice into two groups based upon similarity of T-cell subset patterns measured at 18 months showed that these two groups differed in life expectancy. Specifically, mice characterized by relatively low levels of CD4 and CD8 memory cells, high levels of CD4 naïve cells, and low levels of CD4 cells with P-glycoprotein (64% of the total) lived significantly longer (50 days = 6%; p < .0007) than mice in the other cluster. The results are consistent with the hypothesis that patterns of T-cell subsets vary among mice in a manner than can predict longevity in middle age, and they suggest that these subsets may prove to be useful for further studies of the genetics of aging and age-sensitive traits.
This article has been cited by other articles: (Search Google Scholar for Other Citing Articles)
|
|
 |
|
  C. Acuna-Castillo, E. Leiva-Salcedo, C. R. Gomez, V. Perez, M. Li, C. Torres, R. Walter, D. M. Murasko, and F. Sierra T-Kininogen: A Biomarker of Aging in Fisher 344 Rats With Possible Implications for the Immune Response J. Gerontol. A Biol. Sci. Med. Sci., July 1, 2006; 61(7): 641 - 649. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 G. PFISTER, D. WEISKOPF, L. LAZUARDI, R. D. KOVAIOU, D. P. CIOCA, M. KELLER, B. LORBEG, W. PARSON, and B. GRUBECK-LOEBENSTEIN Naive T Cells in the Elderly: Are They Still There? Ann. N.Y. Acad. Sci., May 1, 2006; 1067(1): 152 - 157. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 A. Kriete Biomarkers of Aging: Combinatorial or Systems Model? Sci. Aging Knowl. Environ., January 4, 2006; 2006(1): pe1 - pe1. [Abstract] [Full Text]
|
|
|
|
 |
|
 C. Huang, C. Xiong, and K. Kornfeld Measurements of age-related changes of physiological processes that predict lifespan of Caenorhabditis elegans PNAS, May 25, 2004; 101(21): 8084 - 8089. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
B. A. Rikke Early Life Predictors of Old-Age Life Expectancy Sci. Aging Knowl. Environ., May 19, 2004; 2004(20): pe21 - pe21. [Abstract] [Full Text]
|
|
|
|
|
|
R. J. Davenport Immunity Challenge Sci. Aging Knowl. Environ., June 11, 2003; 2003(23): oa1 - 1. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Chicurel Dangerous Liaisons Sci. Aging Knowl. Environ., October 3, 2001; 2001(1): oa3 - 3. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. A. Miller Biomarkers of Aging Sci. Aging Knowl. Environ., October 3, 2001; 2001(1): pe2 - 2. [Abstract] [Full Text]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|---|
| All GSA journals | The Gerontologist |
| Journals of Gerontology Series B: Psychological Sciences and Social Sciences | |
