Literature DB >> 12133992

T cell subset patterns that predict resistance to spontaneous lymphoma, mammary adenocarcinoma, and fibrosarcoma in mice.

Richard A Miller1, Clarence Chrisp.   

Abstract

Aging leads to changes in the proportion of several T cell subsets in peripheral blood, but it is not yet known whether these changes have prognostic significance for late-life diseases. To examine this question, levels of T cell subsets were measured at 8 and 18 mo of age in the peripheral blood of mice of a genetically heterogeneous stock, and the mice were then subsequently evaluated for life span and for cause of death. The results indicate that mice whose T cell subset patterns look like those of old mice tend to die at earlier ages, regardless of the specific cause of death. At 18 mo, 39% of the variance within the set of seven measured subsets could be combined statistically into a single number, whose correlation with individual subsets suggested that it could be interpreted as an index of immunological aging. T cell subset pattern, as represented by this index, was a predictor of life span in mice dying of lymphoma, fibrosarcoma, mammary adenocarcinoma, or of all other causes considered together. Even as early as 8 mo of age, T cell subset patterns are significant predictors of all three forms of cancer, although at this age the association is stronger in mated female mice than in virgin mice. These results support two controversial hypotheses, which are not mutually exclusive: 1) early immune senescence might predispose to early death from cancer and 2) differences in aging rate, as monitored by tests of immune status, might accelerate or decelerate a wide range of late life neoplastic diseases.

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Mesh:

Year:  2002        PMID: 12133992     DOI: 10.4049/jimmunol.169.3.1619

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  12 in total

1.  Preservation of femoral bone thickness in middle age predicts survival in genetically heterogeneous mice.

Authors:  Richard A Miller; Jaclynn Kreider; Andrzej Galecki; Steven A Goldstein
Journal:  Aging Cell       Date:  2011-03-22       Impact factor: 9.304

2.  Life extension by diet restriction and N-acetyl-L-cysteine in genetically heterogeneous mice.

Authors:  Kevin Flurkey; Clinton M Astle; David E Harrison
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-09-05       Impact factor: 6.053

3.  Canagliflozin retards age-related lesions in heart, kidney, liver, and adrenal gland in genetically heterogenous male mice.

Authors:  Jessica M Snyder; Kerriann M Casey; Andrzej Galecki; David E Harrison; Hashan Jayarathne; Navasuja Kumar; Francesca Macchiarini; Nadia Rosenthal; Marianna Sadagurski; Adam B Salmon; Randy Strong; Richard A Miller; Warren Ladiges
Journal:  Geroscience       Date:  2022-08-16       Impact factor: 7.581

4.  17-a-estradiol late in life extends lifespan in aging UM-HET3 male mice; nicotinamide riboside and three other drugs do not affect lifespan in either sex.

Authors:  David E Harrison; Randy Strong; Peter Reifsnyder; Navasuja Kumar; Elizabeth Fernandez; Kevin Flurkey; Martin A Javors; Marisa Lopez-Cruzan; Francesca Macchiarini; James F Nelson; Adrian Markewych; Alessandro Bitto; Amy L Sindler; Gino Cortopassi; Kylie Kavanagh; Lin Leng; Richard Bucala; Nadia Rosenthal; Adam Salmon; Timothy M Stearns; Molly Bogue; Richard A Miller
Journal:  Aging Cell       Date:  2021-03-31       Impact factor: 11.005

Review 5.  Mammalian models of extended healthy lifespan.

Authors:  Colin Selman; Dominic J Withers
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-01-12       Impact factor: 6.237

6.  Sipuleucel-T for therapy of asymptomatic or minimally symptomatic, castrate-refractory prostate cancer: an update and perspective among other treatments.

Authors:  Shilpa Gupta; Estrella Carballido; Mayer Fishman
Journal:  Onco Targets Ther       Date:  2011-06-29       Impact factor: 4.147

7.  Modulation of gut microbiota and delayed immunosenescence as a result of syringaresinol consumption in middle-aged mice.

Authors:  Si-Young Cho; Juewon Kim; Ji Hae Lee; Ji Hyun Sim; Dong-Hyun Cho; Il-Hong Bae; Hyunbok Lee; Min A Seol; Hyun Mu Shin; Tae-Joo Kim; Dae-Yong Kim; Su-Hyung Lee; Song Seok Shin; Sin-Hyeog Im; Hang-Rae Kim
Journal:  Sci Rep       Date:  2016-12-15       Impact factor: 4.379

8.  How long will my mouse live? Machine learning approaches for prediction of mouse life span.

Authors:  William R Swindell; James M Harper; Richard A Miller
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-09       Impact factor: 6.053

9.  Rapamycin-mediated lifespan increase in mice is dose and sex dependent and metabolically distinct from dietary restriction.

Authors:  Richard A Miller; David E Harrison; Clinton M Astle; Elizabeth Fernandez; Kevin Flurkey; Melissa Han; Martin A Javors; Xinna Li; Nancy L Nadon; James F Nelson; Scott Pletcher; Adam B Salmon; Zelton Dave Sharp; Sabrina Van Roekel; Lynn Winkleman; Randy Strong
Journal:  Aging Cell       Date:  2014-02-09       Impact factor: 9.304

10.  Longer lifespan in male mice treated with a weakly estrogenic agonist, an antioxidant, an α-glucosidase inhibitor or a Nrf2-inducer.

Authors:  Randy Strong; Richard A Miller; Adam Antebi; Clinton M Astle; Molly Bogue; Martin S Denzel; Elizabeth Fernandez; Kevin Flurkey; Karyn L Hamilton; Dudley W Lamming; Martin A Javors; João Pedro de Magalhães; Paul Anthony Martinez; Joe M McCord; Benjamin F Miller; Michael Müller; James F Nelson; Juliet Ndukum; G Ed Rainger; Arlan Richardson; David M Sabatini; Adam B Salmon; James W Simpkins; Wilma T Steegenga; Nancy L Nadon; David E Harrison
Journal:  Aging Cell       Date:  2016-06-16       Impact factor: 9.304

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