Preservation of bone mass and structure in hibernating black bears (Ursus americanus) through elevated expression of anabolic genes

Physical inactivity reduces mechanical load on the skeleton, which leads to losses of bone mass and strength in non-hibernating mammalian species. Although bears are largely inactive during hibernation, they show no loss in bone mass and strength. To obtain insight into molecular mechanisms preventing disuse bone loss, we conducted a large-scale screen of transcriptional changes in trabecular bone comparing winter hibernating and summer non-hibernating black bears using a custom 12,800 probe cDNA microarray. A total of 241 genes were differentially expressed (P < 0.01 and fold change >1.4) in the ilium bone of bears between winter and summer. The Gene Ontology and Gene Set Enrichment Analysis showed an elevated proportion in hibernating bears of overexpressed genes in six functional sets of genes involved in anabolic processes of tissue morphogenesis and development including skeletal development, cartilage development, and bone biosynthesis. Apoptosis genes demonstrated a tendency for downregulation during hibernation. No coordinated directional changes were detected for genes involved in bone resorption, although some genes responsible for osteoclast formation and differentiation (Ostf1, Rab9a, and c-Fos) were significantly underexpressed in bone of hibernating bears. Elevated expression of multiple anabolic genes without induction of bone resorption genes, and the down regulation of apoptosis-related genes, likely contribute to the adaptive mechanism that preserves bone mass and structure through prolonged periods of immobility during hibernation.

[1]  P. Iaizzo,et al.  Muscle strength in overwintering bears , 2001, Nature.

[2]  A J Kaneps,et al.  Changes in canine cortical and cancellous bone mechanical properties following immobilization and remobilization with exercise. , 1997, Bone.

[3]  R. Nelson Protein and fat metabolism in hibernating bears. , 1980, Federation proceedings.

[4]  Kozo Nakamura,et al.  RANKL maintains bone homeostasis through c-Fos-dependent induction of interferon-β , 2002, Nature.

[5]  R. Nelson,et al.  Calcium and bone metabolic homeostasis in active and denning black bears (Ursus americanus). , 1990, Clinical orthopaedics and related research.

[6]  Louise C. Showe,et al.  Classification and Prediction of Survival in Patients with the Leukemic Phase of Cutaneous T Cell Lymphoma , 2003, The Journal of experimental medicine.

[7]  Thomas D. Schmittgen,et al.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. , 2001, Methods.

[8]  May D. Wang,et al.  GoMiner: a resource for biological interpretation of genomic and proteomic data , 2003, Genome Biology.

[9]  J. Emmersen,et al.  Adipose-derived stem cells from the brown bear (Ursus arctos) spontaneously undergo chondrogenic and osteogenic differentiation in vitro. , 2011, Stem cell research.

[10]  John Quackenbush,et al.  Elevated expression of protein biosynthesis genes in liver and muscle of hibernating black bears (Ursus americanus). , 2009, Physiological genomics.

[11]  John D. Storey,et al.  Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[12]  C. T. Robbins,et al.  Decreased bone turnover with balanced resorption and formation prevent cortical bone loss during disuse (hibernation) in grizzly bears (Ursus arctos horribilis). , 2008, Bone.

[13]  Hiroshi Ohshima,et al.  Intravenous Pamidronate Prevents Femoral Bone Loss and Renal Stone Formation During 90‐Day Bed Rest , 2004, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[14]  Nelson Ra Protein and Fat Metabolism in Hibernating Bears , 1980 .

[15]  M. Pfaffl,et al.  A new mathematical model for relative quantification in real-time RT-PCR. , 2001, Nucleic acids research.

[16]  J. Zerwekh,et al.  The Effects of Twelve Weeks of Bed Rest on Bone Histology, Biochemical Markers of Bone Turnover, and Calcium Homeostasis in Eleven Normal Subjects , 1998, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[17]  Hannah V Carey,et al.  Mammalian hibernation as a model of disuse osteoporosis: the effects of physical inactivity on bone metabolism, structure, and strength. , 2008, American journal of physiology. Regulatory, integrative and comparative physiology.

[18]  John N. Weinstein,et al.  High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID) , 2005, BMC Bioinformatics.

[19]  L. Demers,et al.  Parathyroid hormone may maintain bone formation in hibernating black bears (Ursus americanus) to prevent disuse osteoporosis , 2006, Journal of Experimental Biology.

[20]  C. T. Robbins,et al.  Grizzly bears (Ursus arctos horribilis) and black bears (Ursus americanus) prevent trabecular bone loss during disuse (hibernation). , 2009, Bone.

[21]  H. Wahner,et al.  Nitrogen metabolism in bears: urea metabolism in summer starvation and in winter sleep and role of urinary bladder in water and nitrogen conservation. , 1975, Mayo Clinic proceedings.

[22]  Yichi Xu,et al.  Genomic analysis of expressed sequence tags in American black bear Ursus americanus , 2010, BMC Genomics.

[23]  R. Zernicke,et al.  Maintenance of bone mass and architecture in denning black bears (Ursus americanus) , 2004 .

[24]  D. A. Lundberg,et al.  Protein metabolism in the black bear before and during hibernation. , 1976, Mayo Clinic proceedings.

[25]  L. Showe,et al.  Modulation of gene expression in heart and liver of hibernating black bears (Ursus americanus) , 2011, BMC Genomics.

[26]  Dale M Edgar,et al.  Hibernation in Black Bears: Independence of Metabolic Suppression from Body Temperature , 2011, Science.

[27]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.