Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Cordoba, Spain.
Department of Cell Biology, Physiology, and Immunology, University of Cordoba, 14004 Cordoba, Spain.
Int J Mol Sci. 2023 Oct 13;24(20):15140. doi: 10.3390/ijms242015140.
Obesity (OB) is a metabolic disorder characterized by adipose tissue dysfunction that has emerged as a health problem of epidemic proportions in recent decades. OB is associated with multiple comorbidities, including some types of cancers. Specifically, prostate cancer (PCa) has been postulated as one of the tumors that could have a causal relationship with OB. Particularly, a specialized adipose tissue (AT) depot known as periprostatic adipose tissue (PPAT) has gained increasing attention over the last few years as it could be a key player in the pathophysiological interaction between PCa and OB. However, to date, no studies have defined the most appropriate internal reference genes (IRGs) to be used in gene expression studies in this AT depot. In this work, two independent cohorts of PPAT samples ( = 20/ = 48) were used to assess the validity of a battery of 15 literature-selected IRGs using two widely used techniques (reverse transcription quantitative PCR [RT-qPCR] and microfluidic-based qPCR array). For this purpose, ΔCt method, GeNorm (v3.5), BestKeeper (v1.0), NormFinder (v.20.0), and RefFinder software were employed to assess the overall trends of our analyses. , , and were identified as the best IRGs to be used for gene expression studies in human PPATs, specifically when considering PCa and OB conditions.
肥胖症（OB）是一种代谢紊乱，其特征是脂肪组织功能障碍，近年来已成为一种流行程度极高的健康问题。OB 与多种合并症有关，包括某些类型的癌症。具体来说，前列腺癌（PCa）被认为是与 OB 具有因果关系的肿瘤之一。特别是，一种被称为前列腺周围脂肪组织（PPAT）的特殊脂肪组织（AT）储存库近年来受到越来越多的关注，因为它可能是 PCa 和 OB 之间病理生理相互作用的关键因素。然而，迄今为止，尚无研究定义用于该 AT 储存库中基因表达研究的最合适的内参基因（IRGs）。在这项工作中，使用两个独立的 PPAT 样本队列（= 20/= 48），使用两种广泛使用的技术（逆转录定量 PCR [RT-qPCR]和微流控 qPCR 阵列）评估了一组 15 个文献选择的 IRGs 的有效性。为此，使用 ΔCt 方法、GeNorm（v3.5）、BestKeeper（v1.0）、NormFinder（v.20.0）和 RefFinder 软件来评估我们分析的总体趋势。在考虑 PCa 和 OB 情况时，、、和 被确定为用于人类 PPAT 基因表达研究的最佳 IRGs。
