Biochemistry and Cell Biology of Lipids, Life and Medical Sciences Institute (LIMES), University of Bonn, Carl-Troll-Straße 31, 53115, Bonn, Germany.
Division Vascular Signaling and Cancer (A270), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
Sci Rep. 2020 Dec 3;10(1):21104. doi: 10.1038/s41598-020-78015-9.
Adipose tissue is an organized endocrine organ with important metabolic and immunological functions and immune cell-adipocyte crosstalk is known to drive various disease pathologies. Suitable 3D adipose tissue organoid models often lack resident immune cell populations and therefore require the addition of immune cells isolated from other organs. We have created the first 3D adipose tissue organoid model which could contain and maintain resident immune cell populations of the stromal vascular fraction (SVF) and proved to be effective in studying adipose tissue biology in a convenient manner. Macrophage and mast cell populations were successfully confirmed within our organoid model and were maintained in culture without the addition of growth factors. We demonstrated the suitability of our model for monitoring the lipidome during adipocyte differentiation in vitro and confirmed that this model reflects the physiological lipidome better than standard 2D cultures. In addition, we applied mass spectrometry-based lipidomics to track lipidomic changes in the lipidome upon dietary and immunomodulatory interventions. We conclude that this model represents a valuable tool for immune-metabolic research.
脂肪组织是一个具有重要代谢和免疫功能的有组织内分泌器官,已知免疫细胞与脂肪细胞的相互作用会导致各种疾病病理。合适的 3D 脂肪组织类器官模型通常缺乏常驻免疫细胞群体,因此需要添加从其他器官分离的免疫细胞。我们创建了第一个能够包含和维持基质血管部分 (SVF) 常驻免疫细胞群体的 3D 脂肪组织类器官模型,并已证明其可有效便捷地研究脂肪组织生物学。在我们的类器官模型中成功确认了巨噬细胞和肥大细胞群体,并且在没有添加生长因子的情况下在培养中得以维持。我们证明了我们的模型适用于监测体外脂肪细胞分化过程中的脂质组,并证实该模型比标准 2D 培养更能反映生理脂质组。此外,我们应用基于质谱的脂质组学来跟踪饮食和免疫调节干预后脂质组的脂质组学变化。我们的结论是,该模型代表了免疫代谢研究的有价值工具。