Mela Virginia, Martín-Reyes Flores, Oliva-Olivera Wilfredo, Cantarero-Cuenca Antonio, Sánchez-García Ana, Sancho-Marín Raquel, González-Jimenez Andrés, Tomé Mónica, Moreno-Ruiz Francisco J, Soler-Humanes Rocío, Fernández-Serrano José L, Sanchez-Gallegos Pilar, Martínez-Moreno Jose M, Tinahones Francisco J, García-Fuentes Eduardo, Garrido-Sánchez Lourdes
Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain; Department of Medicine and Dermatology, Faculty of Medicine, University of Malaga, Malaga, Spain; Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Malaga, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain.
Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain; Unidad de Gestión Clínica de Aparato Digestivo, Hospital Universitario Virgen de la Victoria, Malaga, Spain.
Metabolism. 2025 Apr;165:156129. doi: 10.1016/j.metabol.2024.156129. Epub 2024 Dec 30.
The successful weight loss following bariatric surgery is not achieved in all patients with morbid obesity (MO). This study aims to determine whether a serum miRNA profile can predict this outcome.
Thirty-three patients with MO were classified in "Good Responders" (GR, percentage of excess weight loss (%EWL) ≥ 50 %) or "Non-Responders" (NR, %EWL < 50 %) according to the %EWL 5-8 year following bariatric surgery. Baseline serum miRNA sequencing was performed to find predictor biomarkers and human adipocyte culture were performed to determine their effect.
Fifty-six differentially expressed miRNAs were found between GR and NR. Logistic regression models showed two miRNAs, hsa-miR-365b-5p (upregulated in GR) and hsa-miR-222-5p (upregulated in NR) associated to %EWL. Receiver operating characteristic curves showed that the combination of these miRNAs was the best serum miRNAs profile that distinguished between GR and NR. The experimentally validated target genes of these miRNAs were involved in processes related to the response to stress, cell cycle, transduction, and development and proliferation processes. The in vitro expression of six genes involved in adipogenesis and adipocyte differentiation (STAT3, ILR7, PARP1, SOD2, FGF2 and TMEM18) was downregulated in lipogenic and upregulated in lipolitic conditions in human adipocytes incubated with the combination of a hsa-miR-365b-5p mimic and a hsa-miR-222-5p inhibitor.
Baseline serum hsa-miR-365b-5p and hsa-miR-222-5p were able to predict %EWL 5-8 years following bariatric surgery. The combination of these potential predictive biomarkers was involved in regulating the expression levels of genes associated with obesity. However, these effects could be modified depending of other stimuli.
并非所有病态肥胖(MO)患者在接受减肥手术后都能成功减重。本研究旨在确定血清微小RNA(miRNA)谱是否能预测这一结果。
根据减肥手术后5 - 8年的超重减轻百分比(%EWL),将33例MO患者分为“良好反应者”(GR,%EWL≥50%)或“无反应者”(NR,%EWL < 50%)。进行基线血清miRNA测序以寻找预测生物标志物,并进行人脂肪细胞培养以确定其作用。
在GR和NR之间发现了56种差异表达的miRNA。逻辑回归模型显示,两种miRNA,即hsa-miR-365b-5p(在GR中上调)和hsa-miR-222-5p(在NR中上调)与%EWL相关。受试者工作特征曲线表明,这些miRNA的组合是区分GR和NR的最佳血清miRNA谱。这些miRNA的实验验证靶基因参与了与应激反应、细胞周期、转导以及发育和增殖过程相关的过程。在用hsa-miR-365b-5p模拟物和hsa-miR-222-5p抑制剂组合孵育的人脂肪细胞中,参与脂肪生成和脂肪细胞分化的六个基因(STAT3、ILR7、PARP1、SOD2、FGF2和TMEM18)的体外表达在脂肪生成条件下下调,在脂肪分解条件下上调。
基线血清hsa-miR-365b-5p和hsa-miR-222-5p能够预测减肥手术后5 - 8年的%EWL。这些潜在预测生物标志物的组合参与调节与肥胖相关基因的表达水平。然而,这些作用可能会因其他刺激而改变。