Lipedema is a chronic, progressive disease of adipose tissue with unknown etiology. Based on the relevance of the stromal vascular fraction (SVF) cell population in lipedema, we performed a thorough characterization of subcutaneous adipose tissue, SVF isolated thereof and the sorted populations of endothelial cells (EC), pericytes and cultured adipose-derived stromal/stem cells (ASC) of early-stage lipedema patients. We employed histological and gene expression analysis and investigated the endothelial barrier by immunofluorescence and analysis of endothelial permeability in vitro. Although there were no significant differences in histological stainings, we found altered gene expression of factors relevant for local estrogen metabolism (aromatase), preadipocyte commitment (ZNF423) and immune cell infiltration (CD11c) in lipedema on the tissue level, as well as in distinct cellular subpopulations. Machine learning analysis of immunofluorescence images of CD31 and ZO-1 revealed a morphological difference in the cellular junctions of EC cultures derived from healthy and lipedema individuals. Furthermore, the secretome of lipedema-derived SVF cells was sufficient to significantly increase leakiness of healthy human primary EC, which was also reflected by decreased mRNA expression of VE-cadherin. Here, we showed for the first time that the secretome of SVF cells creates an environment that triggers endothelial barrier dysfunction in early-stage lipedema. Moreover, since alterations in gene expression were detected on the cellular and/or tissue level, the choice of sample material is of high importance in elucidating this complex disease.

Over-expression of fluorescently-labeled markers for extracellular vesicles is frequently used to visualize vesicle up-take and transport. EVs that are labeled by over-expression show considerable heterogeneity regarding the number of fluorophores on single particles, which could potentially bias tracking and up-take studies in favor of more strongly-labeled particles. To avoid the potential artefacts that are caused by over-expression, we developed a genome editing approach for the fluorescent labeling of the extracellular vesicle marker CD63 with green fluorescent protein using the CRISPR/Cas9 technology. Using single-molecule sensitive fluorescence microscopy, we quantitatively compared the degree of labeling of secreted small extracellular vesicles from conventional over-expression and the CRISPR/Cas9 approach with true single-particle measurements. With our analysis, we can demonstrate a larger fraction of single-GFP-labeled EVs in the EVs that were isolated from CRISPR/Cas9-modified cells (83%) compared to EVs that were isolated from GFP-CD63 over-expressing cells (36%). Despite only single-GFP-labeling, CRISPR-EVs can be detected and discriminated from auto-fluorescence after their up-take into cells. To demonstrate the flexibility of the CRISPR/Cas9 genome editing method, we fluorescently labeled EVs using the HaloTag^® with lipid membrane permeable dye, JaneliaFluor^® 646, which allowed us to perform 3D-localization microscopy of single EVs taken up by the cultured cells.

Acting as the largest energy reservoir in the body, adipose tissue is involved in longevity and progression of age-related metabolic dysfunction. Here, cellular senescence plays a central role in the generation of a pro-inflammatory environment and in the evolution of chronic diseases. Within the complexity of a tissue, identification and targeting of senescent cells is hampered by their heterogeneity. In this study, we generated stress-induced premature senescence 2D and 3D in vitro models for the stromal vascular niche of human adipose tissue. We established treatment conditions for senescence induction using Doxorubicin (Dox), starting from adipose-derived stromal/stem cells (ASCs), which we adapted to freshly isolated microtissue-stromal vascular fraction (MT-SVF), where cells are embedded within their native extracellular matrix. Senescence hallmarks for the established in vitro models were verified on different cellular levels, including morphology, cell cycle arrest, senescence-associated β-galactosidase activity (SA-βgal) and gene expression. Two subsequent exposures with 200 nM Dox for six days were suitable to induce senescence in our in vitro models. We demonstrated induction of senescence in the 2D in vitro models through SA-βgal activity, at the mRNA level (LMNB1, CDK1, p21) and additionally by G2/M phase cell cycle arrest in ASCs. Significant differences in Lamin B1 and p21 protein expression confirmed senescence in our MT-SVF 3D model. MT-SVF 3D cultures were composed of multiple cell types, including CD31, CD34 and CD68 positive cells, while cell death remained unaltered upon senescence induction. As heterogeneity and complexity of adipose tissue senescence is given by multiple cell types, our established senescence models that represent the perivascular niche embedded within its native extracellular matrix are highly relevant for future clinical studies.