Department of Anatomy, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland.
Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Cell Rep Methods. 2022 Feb 8;2(2):100166. doi: 10.1016/j.crmeth.2022.100166. eCollection 2022 Feb 28.
Systematic insight into cellular dysfunction can improve understanding of disease etiology, risk assessment, and patient stratification. We present a multiparametric high-content imaging platform enabling quantification of low-density lipoprotein (LDL) uptake and lipid storage in cytoplasmic droplets of primary leukocyte subpopulations. We validate this platform with samples from 65 individuals with variable blood LDL-cholesterol (LDL-c) levels, including familial hypercholesterolemia (FH) and non-FH subjects. We integrate lipid storage data into another readout parameter, lipid mobilization, measuring the efficiency with which cells deplete lipid reservoirs. Lipid mobilization correlates positively with LDL uptake and negatively with hypercholesterolemia and age, improving differentiation of individuals with normal and elevated LDL-c. Moreover, combination of cell-based readouts with a polygenic risk score for LDL-c explains hypercholesterolemia better than the genetic risk score alone. This platform provides functional insights into cellular lipid trafficking and has broad possible applications in dissecting the cellular basis of metabolic disorders.
系统地深入了解细胞功能障碍可以帮助我们更好地理解疾病的病因、风险评估和患者分层。我们提出了一种多参数高内涵成像平台,能够定量检测原发性白细胞亚群中低密度脂蛋白 (LDL) 的摄取和细胞质液滴中的脂质储存。我们使用来自 65 名个体的样本对该平台进行了验证,这些个体的血液 LDL-胆固醇 (LDL-c) 水平不同,包括家族性高胆固醇血症 (FH) 和非 FH 患者。我们将脂质储存数据整合到另一个读数参数中,即脂质动员,用于测量细胞耗尽脂质储备的效率。脂质动员与 LDL 摄取呈正相关,与高胆固醇血症和年龄呈负相关,能够更好地区分 LDL-c 正常和升高的个体。此外,基于细胞的读数与 LDL-c 的多基因风险评分相结合,比单独的遗传风险评分更能解释高胆固醇血症。该平台为细胞脂质转运提供了功能见解,并在解析代谢紊乱的细胞基础方面具有广泛的应用潜力。