Modulatory roles of bone morphogenetic protein 2 and asporin in osteo/cementoblast differentiation potential of human periodontal ligament stem cells: a multivariate model analysis.

骨形态发生蛋白 2 和天冬氨酸蛋白在人牙周膜干细胞成骨/成牙骨质分化潜能中的调节作用:多元模型分析

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作者:Silvério Karina Gonzales, Antunes Gabriela Bessa Marconato, Pereira Bruno Cazotti, Gomes Filho Francisco Naldo, Moreira Nathalia Reiche, Casarin Renato Corrêa Viana, Sallum Enilson Antonio, Sacramento Catharina Marques
Understanding the molecular mechanisms regulating osteo/cementogenic differentiation is critical for optimizing cell-based strategies in periodontal regeneration. This study employed multivariate statistical modeling to investigate, in vitro, the interaction between bone morphogenetic protein 2 (BMP2) and asporin (ASPN) in human periodontal ligament stem cells (hPDLSCs) and its impact on mineralization potential. Four primary hPDLSC populations-two with high osteo/cementogenic potential (HOP) and two with low potential (LOP)-were cultured under standard (SDM) and osteo/cementogenic (OM) conditions. Mineralization was assessed using Alizarin Red Staining (AR-S) and alkaline phosphatase (ALP) activity, while gene expression of ASPN, BMP2, osteocalcin (OCN), and runt-related transcription factor 2 (RUNX2) was quantified by quantitative real-time polymerase chain reaction (qRT-PCR). BMP2 protein levels were measured using the Luminex system. Data analysis incorporated Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Pearson correlations, correlation networks, and multivariate regression models in RStudio. HOP cells exhibited higher mineralization and BMP2 expression compared to LOP cells (p < 0.05). ASPN negatively correlated with BMP2 expression and mineralization, particularly in LOP cells (p < 0.01), reinforcing its inhibitory role. Multivariate modeling identified BMP2 as a key positive regulator of osteo/cementogenesis, while ASPN emerged as a significant inhibitory factor (p < 0.001). This study highlights the potential of multivariate models as powerful tools for uncovering molecular interactions and identifying novel therapeutic targets, paving the way for advancements in periodontal regeneration and cell-based therapies. GRAPHICAL ABSTRACT: Created in BioRender. Sacramento, C. (2025). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10616-025-00810-x.

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