Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Rosselló Street 149, 08036 Barcelona, Spain.
Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain.
Int J Mol Sci. 2021 Sep 29;22(19):10541. doi: 10.3390/ijms221910541.
Development and severity of nonalcoholic fatty liver disease (NAFLD) have been linked to obesity and white adipose tissue (WAT) dysfunction plays a key role in this relation. We compared the main features of subcutaneous (SAT) and visceral WAT (VAT) tissue dysfunction in 48 obese women without (Ob) and with NAFLD (Ob-NAFLD) undergoing bariatric surgery and matched for age, BMI and T2D status. Fat cell area, adipocyte size distribution, the degree of histological fibrosis and the mRNA expression of adipokines and genes implicated in inflammation, adipogenesis, angiogenesis, metabolism and extracellular matrix remodeling were measured by RT-qPCR in both fat depots. Ob-NAFLD group showed higher TG and lower HDL circulating levels, increased VAT fat cell area and similar WAT fibrosis in comparison with Ob group. A sPLS-DA was performed in order to identify the set of genes that better characterize the presence of NAFLD. Finally, we build a multinomial logistic model including seven genes that explained 100% of the variance in NAFLD and correctly predicted 100% of cases. Our data support the existence of distinctive NAFLD signatures in WAT from women with severe obesity. A better understanding of these pathways may help in future strategies for the prevention and treatment of NAFLD.
非酒精性脂肪性肝病（NAFLD）的发生和严重程度与肥胖有关，而白色脂肪组织（WAT）功能障碍在这一关系中起着关键作用。我们比较了 48 例接受减肥手术的肥胖女性（Ob）和非酒精性脂肪性肝病（Ob-NAFLD）患者的皮下（SAT）和内脏 WAT（VAT）组织功能障碍的主要特征，这些患者在年龄、BMI 和 T2D 状态方面相匹配。通过 RT-qPCR 测量了两个脂肪组织中脂肪细胞面积、脂肪细胞大小分布、组织纤维化程度以及与炎症、脂肪生成、血管生成、代谢和细胞外基质重塑相关的脂肪因子和基因的 mRNA 表达。与 Ob 组相比，Ob-NAFLD 组的 TG 循环水平更高，HDL 水平更低，VAT 脂肪细胞面积更大，WAT 纤维化程度相似。为了确定更好地表征 NAFLD 存在的基因集，进行了 sPLS-DA。最后，我们构建了一个包含七个基因的多项逻辑回归模型，该模型解释了 100%的 NAFLD 方差，并正确预测了 100%的病例。我们的数据支持严重肥胖女性的 WAT 存在独特的 NAFLD 特征。更好地了解这些途径可能有助于未来预防和治疗 NAFLD 的策略。
