Osteogenic protein-1 induced gene expression: evaluation in a posterolateral spinal pseudarthrosis model.

Publication/Presentation Date

10-15-2006

Abstract

STUDY DESIGN: Molecular study of gene expression in rabbit lumbar pseudarthrosis repairs using reverse transcriptase polymerase chain reaction.

OBJECTIVE: To evaluate differential gene expression of no graft, autograft, and osteogenic protein-1 treated pseudarthroses.

SUMMARY OF BACKGROUND DATA: Osteogenic protein-1 is a potential bone graft alternative that has achieved high fusion rates in a rabbit lumbar fusion model, including in the repair of nicotine-induced pseudarthroses. A previous study established a correlation between osteogenic protein-1 fusion outcomes and an enhanced level of cytokine gene expression. The expression of such cytokines is known to be decreased in nicotine-exposed rabbit fusion masses.

METHODS: Messenger ribonucleic acid was isolated from nicotine-exposed New Zealand white rabbit lumbar pseudarthroses following attempted no graft, autograft, and osteogenic protein-1 pseudarthrosis repairs. Reverse transcriptase polymerase chain reaction was used to assess the expression of angiogenin, angiopoietin, intercellular adhesion molecule, platelet-derived growth factor-beta, vascular endothelial growth factor, bone morphogenetic proteins 2 and 7, type I collagen, and osteonectin. Glyceraldehyde-3-phosphate dehydrogenase was used as a constitutively expressed control.

RESULTS: Levels of gene expression in the osteogenic protein-1 group were higher than those of the autograft group, which were higher than the no graft group for the majority of the genes studied.

CONCLUSIONS: In the rabbit pseudarthrosis model, gene expression data supported the hypothesis that successful pseudarthrosis repair is related to the induction of osteogenic and angiogenic cytokines by osteogenic protein-1.

Volume

31

Issue

22

First Page

2550

Last Page

2555

ISSN

1528-1159

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

17047543

Department(s)

Administration and Leadership

Document Type

Article

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