Identifying novel genes involved in both deer physiological and human pathological osteoporosis |
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Authors: | Adrienn Borsy János Podani Viktor Stéger Bernadett Balla Arnold Horváth János P Kósa István Gyurján Jr Andrea Molnár Zoltán Szabolcsi László Szabó Eéna Jakó Zoltán Zomborszky János Nagy Szabolcs Semsey Tibor Vellai Péter Lakatos László Orosz |
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Institution: | 1. Department of Genetics, E?tv?s Loránd University, Pázmány Péter s. 1/c, 1117, Budapest, Hungary 2. Institute of Genetics, Agricultural Biotechnology Center, Szent-Gy?rgyi Albert u. 4, 2100, G?d?ll?, Hungary 4. E?tv?s Loránd University eScience Regional Knowledge Centre, E?tv?s Loránd University, Pázmány Péter s. 1/a, 1117, Budapest, Hungary 3. Department of Plant Taxonomy and Ecology, E?tv?s Loránd University, Pázmány Péter s. 1/c, 1117, Budapest, Hungary 5. 1st Department of Internal Medicine, Semmelweis University, Korányi Sándor u. 2/a, 1083, Budapest, Hungary 6. Department of Fish and Pet Animal Breeding, Faculty of Animal Science, University of Kaposvár, Guba Sándor u. 40, 7400, Kaposvár, Hungary 7. Deer Farm of the Pannonian Equestrian Academy, University of Kaposvár, Guba Sándor u. 40, 7400, Kaposvár, Hungary
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Abstract: | Osteoporosis attacks 10% of the population worldwide. Humans or even the model animals of the disease cannot recover from
porous bone. Regeneration in skeletal elements is the unique feature of our newly investigated osteoporosis model, the red
deer (Cervus elaphus) stag. Cyclic physiological osteoporosis is a consequence of the annual antler cycle. This phenomenon raises the possibility
to identify genes involved in the regulation of bone mineral density on the basis of comparative genomics between deer and
human. We compare gene expression activity of osteoporotic and regenerating rib bone samples versus autumn dwell control in
red deer by microarray hybridization. Identified genes were tested on human femoral bone tissue from non-osteoporotic controls
and patients affected with age-related osteoporosis. Expression data were evaluated by Principal Components Analysis and Canonical
Variates Analysis. Separation of patients into a normal and an affected group based on ten formerly known osteoporosis reference
genes was significantly improved by expanding the data with newly identified genes. These genes include IGSF4, FABP3, FABP4, FKBP2, TIMP2, TMSB4X, TRIB, and members of the Wnt signaling. This study supports that extensive comparative genomic analyses, here deer and human, provide
a novel approach to identify new targets for human diagnostics and therapy.
Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users. |
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Keywords: | Bone metabolism Interspecific microarray Gene expression pattern Real-time PCR |
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