Literature DB >> 12944977

Age-related thymic involution in C57BL/6J x DBA/2J recombinant-inbred mice maps to mouse chromosomes 9 and 10.

H-C Hsu1, H-G Zhang, L Li, N Yi, P-A Yang, Q Wu, J Zhou, S Sun, X Xu, X Yang, L Lu, G Van Zant, R W Williams, D B Allison, J D Mountz.   

Abstract

A comprehensive analysis of initial thymus size and involution rate has not been quantitated for different genetic backgrounds of mice, thus genetic linkage analysis of thymic involution has not been possible. Here, we have used a mathematical method to analyze the age-related decline in thymocyte count in C57BL/6 and DBA/2 mice and have observed that thymic involution could be best fit with a negative exponential curve N(t)=beta(0) x exp(-beta(1)t), where t represents the age (day). This regression model was applied to C57BL/6 x DBA/2 (B x D) recombinant inbred strains of mice to identify the genetic loci influencing age-related thymic involution. There was a dramatic genetic effect of B and D alleles on thymocyte count at young age and the age-related thymic involution rate. The strongest quantitative trait loci (QTL) influencing the rate of thymic involution were mapped to mouse chromosome (Chr) 9 (D9Mit20 at 62 cM) and Chr 10 (D10Mit61 at 32 cM). The strongest QTLs influencing the initial thymocyte count were mapped to ChrX (DXMit324 at 26.5 cM) and Chr 3 (D3Mit127 at 70.3 cM). The present study suggests that the initial thymus size and the rate of thymic involution may be influenced by a relatively small number of genetic loci.

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Year:  2003        PMID: 12944977     DOI: 10.1038/sj.gene.6363982

Source DB:  PubMed          Journal:  Genes Immun        ISSN: 1466-4879            Impact factor:   2.676


  17 in total

1.  Thymus Size and Age-related Thymic Involution: Early Programming, Sexual Dimorphism, Progenitors and Stroma.

Authors:  Jingang Gui; Lisa Maria Mustachio; Dong-Ming Su; Ruth W Craig
Journal:  Aging Dis       Date:  2012-03-14       Impact factor: 6.745

2.  Age-specific variation in immune response in Drosophila melanogaster has a genetic basis.

Authors:  Tashauna M Felix; Kimberly A Hughes; Eric A Stone; Jenny M Drnevich; Jeff Leips
Journal:  Genetics       Date:  2012-05-02       Impact factor: 4.562

3.  Genetic mapping of loci controlling diethylstilbestrol-induced thymic atrophy in the Brown Norway rat.

Authors:  Karen A Gould; Tracy E Strecker; Kimberly K Hansen; Kimberly K Bynoté; Kelli A Peterson; James D Shull
Journal:  Mamm Genome       Date:  2006-05       Impact factor: 2.957

Review 4.  Metabolic syndrome, hormones, and maintenance of T cells during aging.

Authors:  Hui-Chen Hsu; John D Mountz
Journal:  Curr Opin Immunol       Date:  2010-06-28       Impact factor: 7.486

Review 5.  Thymic stromal cells: Roles in atrophy and age-associated dysfunction of the thymus.

Authors:  Sergio Cepeda; Ann V Griffith
Journal:  Exp Gerontol       Date:  2017-12-24       Impact factor: 4.032

Review 6.  Thymus: the next (re)generation.

Authors:  Mohammed S Chaudhry; Enrico Velardi; Jarrod A Dudakov; Marcel R M van den Brink
Journal:  Immunol Rev       Date:  2016-05       Impact factor: 12.988

7.  Transforming growth factor-beta2 is involved in quantitative genetic variation in thymic involution.

Authors:  Ritu Kumar; Jessica C Langer; Hans-Willem Snoeck
Journal:  Blood       Date:  2005-11-10       Impact factor: 22.113

8.  Sustained thymopoiesis and improvement in functional immunity induced by exogenous KGF administration in murine models of aging.

Authors:  Dullei Min; Angela Panoskaltsis-Mortari; Makoto Kuro-O; Georg A Holländer; Bruce R Blazar; Kenneth I Weinberg
Journal:  Blood       Date:  2006-11-30       Impact factor: 22.113

9.  Increased nicotinamide nucleotide transhydrogenase levels predispose to insulin hypersecretion in a mouse strain susceptible to diabetes.

Authors:  K Aston-Mourney; N Wong; M Kebede; S Zraika; L Balmer; J M McMahon; B C Fam; J Favaloro; J Proietto; G Morahan; S Andrikopoulos
Journal:  Diabetologia       Date:  2007-10-06       Impact factor: 10.122

10.  Temporal fate mapping reveals age-linked heterogeneity in naive T lymphocytes in mice.

Authors:  Thea Hogan; Graeme Gossel; Andrew J Yates; Benedict Seddon
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-25       Impact factor: 11.205

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