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一种基于生物标志物的数学模型,用于预测人滑膜和骨膜间充质干细胞的成骨能力。

A biomarker-based mathematical model to predict bone-forming potency of human synovial and periosteal mesenchymal stem cells.

作者信息

De Bari Cosimo, Dell'Accio Francesco, Karystinou Alexandra, Guillot Pascale V, Fisk Nicholas M, Jones Elena A, McGonagle Dennis, Khan Ilyas M, Archer Charles W, Mitsiadis Thimios A, Donaldson Ana Nora, Luyten Frank P, Pitzalis Costantino

机构信息

King's College London, London, UK.

出版信息

Arthritis Rheum. 2008 Jan;58(1):240-50. doi: 10.1002/art.23143.

Abstract

OBJECTIVE

To develop a biomarker-based model to predict osteogenic potency of human mesenchymal stem cells (MSCs) from synovial membrane and periosteum.

METHODS

MSC populations were derived from adult synovium and periosteum. Phenotype analysis was performed by fluorescence-activated cell sorting and real-time reverse transcriptase-polymerase chain reaction (RT-PCR). Telomere lengths were determined by Southern blot analysis. In vitro osteogenesis was assessed quantitatively by measurements of alkaline phosphatase activity and calcium deposits. To investigate bone formation in vivo, MSCs were seeded onto osteoinductive scaffolds and implanted subcutaneously in nude mice. Bone was assessed by histology, and the human origin investigated by in situ hybridization for human Alu genomic repeats. Quantitation was achieved by histomorphometry and real-time RT-PCR for human osteocalcin. Analysis at the single-cell level was performed with clonal populations obtained by limiting dilution. Multiple regressions were used to explore the incremental predictive value of the markers.

RESULTS

Periosteal MSCs had significantly greater osteogenic potency than did synovial MSCs inherent to the single cell. Bone was largely of human origin in vivo. Within the same tissue type, there was variability between different donors. To identify predictors of osteogenic potency, we measured the expression levels of osteoblast lineage genes in synovial and periosteal clonal MSCs prior to osteogenic treatment. We identified biomarkers that correlated with osteogenic outcome and developed a mathematical model based on type I collagen and osteoprotegerin expression that predicts the bone-forming potency of MSC preparations, independent of donor-related variables and tissue source.

CONCLUSION

Our findings indicate that our quality-control mathematical model estimates the bone-forming potency of MSC preparations for bone repair.

摘要

目的

建立一种基于生物标志物的模型,以预测来自滑膜和骨膜的人间充质干细胞(MSC)的成骨能力。

方法

从成人滑膜和骨膜中获取MSC群体。通过荧光激活细胞分选和实时逆转录聚合酶链反应(RT-PCR)进行表型分析。通过Southern印迹分析确定端粒长度。通过测量碱性磷酸酶活性和钙沉积来定量评估体外成骨情况。为了研究体内骨形成,将MSC接种到骨诱导支架上并皮下植入裸鼠体内。通过组织学评估骨,并通过原位杂交检测人Alu基因组重复序列来研究人源。通过组织形态计量学和人骨钙素的实时RT-PCR进行定量。使用通过有限稀释获得的克隆群体进行单细胞水平分析。使用多元回归探索标志物的增量预测价值。

结果

骨膜来源的MSC比单细胞固有滑膜来源的MSC具有显著更高的成骨能力。体内的骨在很大程度上是人类来源。在相同组织类型内,不同供体之间存在变异性。为了确定成骨能力的预测指标,我们在成骨处理前测量了滑膜和骨膜克隆MSC中成骨细胞谱系基因的表达水平。我们鉴定了与成骨结果相关的生物标志物,并基于I型胶原蛋白和骨保护素表达建立了一个数学模型,该模型可预测MSC制剂的骨形成能力,独立于供体相关变量和组织来源。

结论

我们的研究结果表明,我们的质量控制数学模型可估计用于骨修复的MSC制剂的骨形成能力。

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