|
|
||||||||
1Human Genomics Laboratory, Pennington Biomedical Research Center; 2Molecular Genetics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana; 3Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
Submitted 4 October 2004 ; accepted in final form 27 January 2005
The beneficial effects of regular physical activity on insulin sensitivity (SI) and glucose tolerance are well documented, with considerable heterogeneity in responsiveness to exercise training (ET). To find novel candidate genes for ET-induced improvement in SI, we used microarray technology. Total RNA was isolated from vastus lateralis muscle before and after 20 wk of exercise from individuals participating in the HERITAGE Family Study. SI index was derived from a frequently sampled intravenous glucose tolerance test using MINMOD Millennium software. Sixteen subjects were selected: eight showing no changes in SI (low responders, LSIR) and eight displaying marked improvement in SI (high responders, HSIR) with ET. The SI increase was about four times greater in HSIR compared with LSIR (+3.6 ± 0.5 vs. 1.2 ± 0.5 µU·ml1·min1, mean ± SE), whereas age, body mass index, percent body fat, and baseline SI were similar between the groups. Triplicate microarrays were performed, comparing pooled RNA with HSIR and LSIR individuals for differences in gene expression before and after ET using in situ-generated microarrays (18, 861 genes). Array data were validated by quantitative RT-PCR. Almost twice as many genes showed at least twofold differences between HSIR and LSIR after training compared with pretraining. We identified differentially expressed genes involved in energy metabolism and signaling, novel structural genes, and transcripts of unknown function. Genes of interest upregulated in HSIR include V-Ski oncogene, four-and-a-half LIM domain 1, and titin. Further study of these novel candidate genes should provide a better understanding of molecular mechanisms involved in the improvement in insulin sensitivity in response to regular exercise.
microarray; MINMOD Millennium; exercise training
This article has been cited by other articles:
![]() |
J. S. McPhee, A. G. Williams, C. Stewart, K. Baar, J. P. Schindler, S. Aldred, N. Maffulli, A. J. Sargeant, and D. A. Jones The training stimulus experienced by the leg muscles during cycling in humans Exp Physiol, June 1, 2009; 94(6): 684 - 694. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Teran-Garcia, T. Rankinen, and C. Bouchard Genes, exercise, growth, and the sedentary, obese child J Appl Physiol, September 1, 2008; 105(3): 988 - 1001. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. M. Roth Perspective on the future use of genomics in exercise prescription J Appl Physiol, April 1, 2008; 104(4): 1243 - 1245. [Full Text] [PDF] |
||||
![]() |
T. M. Lehti, M. Silvennoinen, R. Kivela, H. Kainulainen, and J. Komulainen Effects of streptozotocin-induced diabetes and physical training on gene expression of titin-based stretch-sensing complexes in mouse striated muscle Am J Physiol Endocrinol Metab, February 1, 2007; 292(2): E533 - E542. [Abstract] [Full Text] [PDF] |
||||
![]() |
V. G. Coffey, A. Shield, B. J. Canny, K. A. Carey, D. Cameron-Smith, and J. A. Hawley Interaction of contractile activity and training history on mRNA abundance in skeletal muscle from trained athletes Am J Physiol Endocrinol Metab, May 1, 2006; 290(5): E849 - E855. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Visit Other APS Journals Online |