Production and characterization of an in vitro engineered human oral mucosa

Production and characterization of an in vitro engineered human oral mucosa
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DOI:
10.1139/o01-237
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发表时间:
2002-04-01
期刊:
BIOCHEMISTRY AND CELL BIOLOGY-BIOCHIMIE ET BIOLOGIE CELLULAIRE
影响因子:
--
通讯作者:
Deslauriers, N
Deslauriers, N
中科院分区:
其他
文献类型:
--
作者:
Rouabhia, M;Deslauriers, N

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上皮细胞在口腔病理中的作用知之甚少。到目前为止,大多数研究都使用正常或转化的上皮细胞单层,这是一种在很大程度上绕过口腔粘膜复杂性的系统。为了克服这些局限性,一个工程化的人口腔粘膜(EHOM)模型已经产生和表征。组织学和免疫组化分析后,EHOM显示组织结构良好,分层组织,其中上皮细胞表达增殖角蛋白,如Ki-67,K14和K19,也分化角蛋白(K10)。在该模型中,上皮细胞通过分泌基底膜蛋白(层粘连蛋白)和表达整合素(β 1和α 2 β 1)与固有层中的成纤维细胞相互作用。使用培养上清液的细胞因子分析显示,EHOM中的细胞能够分泌白细胞介素(IL),包括IL-1 β和IL-8以及肿瘤坏死因子α(TNF-α)。最后,这种工程模型中的细胞能够分泌不同的金属蛋白酶,如明胶酶A和明胶酶B。总之,利用组织工程技术,我们产生了组织良好的EHOM组织。预计该模型将有助于通过模拟口腔中粘膜和微生物之间的相互作用,在受控条件下检查口腔疾病中涉及的机制。
The role of epithelial cells in oral pathologies is poorly understood. Until now, most studies have used normal or transformed epithelial cell monolayers, a system that largely bypasses oral mucosal complexity. To overcome these limitations, an engineered human oral mucosa (EHOM) model has been produced and characterized. Following histological and immunohistochemical analyses, EHOM showed well-organized and stratified tissues in which epithelial cells expressed proliferating keratins such as Ki-67, K14, and K19 and also differentiating keratin (K10). In this model, epithelial cells interacted with fibroblasts in the lamina propria by secreting basement membrane proteins (laminins) and by expressing integrins (beta1 and alpha2beta1). Cytokine analyses using cultured supernatants showed that cells in EHOM were able to secrete interleukins (IL) including IL-1beta and IL-8 and tumor necrosis factor alpha (TNF-alpha). Finally, cells in this engineered model were able to secrete different metalloproteinases such as gelatinase-A and gelatinase-B. In conclusion, using tissue engineering technology, we produced well-organized EHOM tissues. It is anticipated that this model will be useful for examining mechanisms involved in oral diseases under controlled conditions by modeling the interactions between mucosa and microorganisms in the oral cavity.