Different gene expression patterns in the bone tissue of aging postmenopausal osteoporotic and non-osteoporotic women

Bernadett Balla, J. Kósa, János Kiss, Adrienn Borsy, J. Podaní, I. Takács, Áron Lazáry, Zsolt Nagy, Krisztián Bácsi, G. Speer, L. Orosz, P. Lakatos

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

Purpose: To identify genes that are differently expressed in osteoporotic and non-osteoporotic human bone and to describe the relationships between these genes using multivariate data analysis. Methods: Seven bone tissue samples from postmenopausal osteoporotic patients and 10 bone tissue samples from postmenopausal non-osteoporotic women were examined in our study. Messenger RNA was prepared from each sample and reverse transcribed to cDNA. The expression differences of 87 selected genes were analyzed in a Taqman probe-based quantitative real-time RT-PCR system. Results: A Mann-Whitney U-test indicated significant differences in the expression of nine genes (p ≤ 0.05). Seven of these nine genes-ALPL, COL1A1, MMP2, MMP13, MMP9, PDGFA, NFKB1-were significantly downregulated in the bone tissue of osteoporotic women, while CD36 and TWIST2 were significantly upregulated in osteoporotic patients. Principal components analysis was used to evaluate data structure and the relationship between osteoporotic and non-osteoporotic phenotypes based on the multiple mRNA expression profiles of 78 genes. Canonical variates analysis demonstrated further that osteoporotic and non-osteoporotic tissues can be distinguished by expression analysis of genes coding growth factors/non-collagen matrix molecules, and genes belonging to the canonical TGFB pathway. Conclusion: Significant differences observed in gene expression profiles of osteoporotic and non-osteoporotic human bone tissues provide further insight into the pathogenesis of this disease. Characterization of the differences between osteoporotic and non-osteoporotic bones by expression profiling will contribute to the development of diagnostic tools in the future.

Original languageEnglish
Pages (from-to)12-26
Number of pages15
JournalCalcified Tissue International
Volume82
Issue number1
DOIs
Publication statusPublished - Jan 2008

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Gene Expression
Bone and Bones
Genes
Transcriptome
Messenger RNA
Nonparametric Statistics
Principal Component Analysis
Real-Time Polymerase Chain Reaction
Intercellular Signaling Peptides and Proteins
Down-Regulation
Multivariate Analysis
Complementary DNA
Phenotype

Keywords

  • Canonical variates analysis
  • Human subjects
  • Osteoporosis
  • Principal components analysis
  • Transcriptional profiling

ASJC Scopus subject areas

  • Endocrinology

Cite this

Different gene expression patterns in the bone tissue of aging postmenopausal osteoporotic and non-osteoporotic women. / Balla, Bernadett; Kósa, J.; Kiss, János; Borsy, Adrienn; Podaní, J.; Takács, I.; Lazáry, Áron; Nagy, Zsolt; Bácsi, Krisztián; Speer, G.; Orosz, L.; Lakatos, P.

In: Calcified Tissue International, Vol. 82, No. 1, 01.2008, p. 12-26.

Research output: Contribution to journalArticle

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abstract = "Purpose: To identify genes that are differently expressed in osteoporotic and non-osteoporotic human bone and to describe the relationships between these genes using multivariate data analysis. Methods: Seven bone tissue samples from postmenopausal osteoporotic patients and 10 bone tissue samples from postmenopausal non-osteoporotic women were examined in our study. Messenger RNA was prepared from each sample and reverse transcribed to cDNA. The expression differences of 87 selected genes were analyzed in a Taqman probe-based quantitative real-time RT-PCR system. Results: A Mann-Whitney U-test indicated significant differences in the expression of nine genes (p ≤ 0.05). Seven of these nine genes-ALPL, COL1A1, MMP2, MMP13, MMP9, PDGFA, NFKB1-were significantly downregulated in the bone tissue of osteoporotic women, while CD36 and TWIST2 were significantly upregulated in osteoporotic patients. Principal components analysis was used to evaluate data structure and the relationship between osteoporotic and non-osteoporotic phenotypes based on the multiple mRNA expression profiles of 78 genes. Canonical variates analysis demonstrated further that osteoporotic and non-osteoporotic tissues can be distinguished by expression analysis of genes coding growth factors/non-collagen matrix molecules, and genes belonging to the canonical TGFB pathway. Conclusion: Significant differences observed in gene expression profiles of osteoporotic and non-osteoporotic human bone tissues provide further insight into the pathogenesis of this disease. Characterization of the differences between osteoporotic and non-osteoporotic bones by expression profiling will contribute to the development of diagnostic tools in the future.",
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AU - Balla, Bernadett

AU - Kósa, J.

AU - Kiss, János

AU - Borsy, Adrienn

AU - Podaní, J.

AU - Takács, I.

AU - Lazáry, Áron

AU - Nagy, Zsolt

AU - Bácsi, Krisztián

AU - Speer, G.

AU - Orosz, L.

AU - Lakatos, P.

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N2 - Purpose: To identify genes that are differently expressed in osteoporotic and non-osteoporotic human bone and to describe the relationships between these genes using multivariate data analysis. Methods: Seven bone tissue samples from postmenopausal osteoporotic patients and 10 bone tissue samples from postmenopausal non-osteoporotic women were examined in our study. Messenger RNA was prepared from each sample and reverse transcribed to cDNA. The expression differences of 87 selected genes were analyzed in a Taqman probe-based quantitative real-time RT-PCR system. Results: A Mann-Whitney U-test indicated significant differences in the expression of nine genes (p ≤ 0.05). Seven of these nine genes-ALPL, COL1A1, MMP2, MMP13, MMP9, PDGFA, NFKB1-were significantly downregulated in the bone tissue of osteoporotic women, while CD36 and TWIST2 were significantly upregulated in osteoporotic patients. Principal components analysis was used to evaluate data structure and the relationship between osteoporotic and non-osteoporotic phenotypes based on the multiple mRNA expression profiles of 78 genes. Canonical variates analysis demonstrated further that osteoporotic and non-osteoporotic tissues can be distinguished by expression analysis of genes coding growth factors/non-collagen matrix molecules, and genes belonging to the canonical TGFB pathway. Conclusion: Significant differences observed in gene expression profiles of osteoporotic and non-osteoporotic human bone tissues provide further insight into the pathogenesis of this disease. Characterization of the differences between osteoporotic and non-osteoporotic bones by expression profiling will contribute to the development of diagnostic tools in the future.

AB - Purpose: To identify genes that are differently expressed in osteoporotic and non-osteoporotic human bone and to describe the relationships between these genes using multivariate data analysis. Methods: Seven bone tissue samples from postmenopausal osteoporotic patients and 10 bone tissue samples from postmenopausal non-osteoporotic women were examined in our study. Messenger RNA was prepared from each sample and reverse transcribed to cDNA. The expression differences of 87 selected genes were analyzed in a Taqman probe-based quantitative real-time RT-PCR system. Results: A Mann-Whitney U-test indicated significant differences in the expression of nine genes (p ≤ 0.05). Seven of these nine genes-ALPL, COL1A1, MMP2, MMP13, MMP9, PDGFA, NFKB1-were significantly downregulated in the bone tissue of osteoporotic women, while CD36 and TWIST2 were significantly upregulated in osteoporotic patients. Principal components analysis was used to evaluate data structure and the relationship between osteoporotic and non-osteoporotic phenotypes based on the multiple mRNA expression profiles of 78 genes. Canonical variates analysis demonstrated further that osteoporotic and non-osteoporotic tissues can be distinguished by expression analysis of genes coding growth factors/non-collagen matrix molecules, and genes belonging to the canonical TGFB pathway. Conclusion: Significant differences observed in gene expression profiles of osteoporotic and non-osteoporotic human bone tissues provide further insight into the pathogenesis of this disease. Characterization of the differences between osteoporotic and non-osteoporotic bones by expression profiling will contribute to the development of diagnostic tools in the future.

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KW - Principal components analysis

KW - Transcriptional profiling

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