组织工程毛囊模型在秃发治疗和病因学研究等方面具有重要的价值。我们在前期研究中基于类器官的概念成功构建了组织工程毛囊原基（Bioengineered hair germ，BHG）。毛囊细胞在其内部可分化形成数个具有方向性的仿生毛囊芽胚。然而，与传统的体外毛囊重建模型相似，BHG同样依靠人工制备，存在操作效率低下及成品一致性差等缺点。因此，我们在本方案中提出引入3D打印生物制造技术，以期实现可移植BHG单位的规模化及自动化构建，并结合体内及体外相应评价体系，对细胞组合模式和细胞数量进行仿生优化。此外，将BHG与水凝胶微环境矩阵以嵌合的方式打印，通过对嵌合模式和微环境成分的优化筛选，我们有望构建出可用于体外药物筛选的人源性毛囊重建模型。上述两种重建模型将为体外组织工程毛囊制备提供重要的理论基础，同时为其未来临床转化提供可能。

Hair follicle engineering model is of great significance in the treatment and etiological study of alopecia. In the previous study, we successfully constructed bioengineered hair germs (BHG) based on the concept of organoids in which hair follicle cells can differentiate into several hair buds with proper orientation. However, as with other traditional in vitro hair regeneration models, the preparation of BHG requires manual operation, and thus has disadvantages such as low operational efficiency and poor uniformity of the products. Therefore, we propose to construct transplantable bioengineered hair germs（BHG）automatically and in quantity by utilizing the 3D bioprinting technology. The corresponding in vivo and in vitro evaluation systems will be applied to optimize the fusion pattern and the number of hair follicle cells in this model. We then will establish an in vitro hair reconstruction model for drug screening in a form of combining printed microenvironment matrix and BHGs. We will optimize the chimeric pattern and the microenvironment components to simulate the in vivo conditions for long-term maintenance of tissue functions. These findings are expected to address a fundamental theoretical basis for in vitro hair follicle reconstruction and provide insight into future clinical translation.