Panagopoulou Maria, Karaglani Makrina, Tzitzikou Konstantina, Kessari Nikoleta, Arvanitidis Konstantinos, Amarantidis Kyriakos, Drosos George I, Gerou Spyros, Papanas Nikolaos, Papazoglou Dimitrios, Baritaki Stavroula, Constantinidis Theodoros C, Chatzaki Ekaterini
Laboratory of Pharmacology, Department of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
Institute of Agri-Food and Life Sciences, University Research and Innovation Centre, Hellenic Mediterranean University, 71003 Heraklion, Greece.
Int J Mol Sci. 2024 Apr 10;25(8):4199. doi: 10.3390/ijms25084199.
Circulating cell-free DNA (ccfDNA) of mitochondrial origin (ccf-mtDNA) consists of a minor fraction of total ccfDNA in blood or in other biological fluids. Aberrant levels of ccf-mtDNA have been observed in many pathologies. Here, we introduce a simple and effective standardized Taqman probe-based dual-qPCR assay for the simultaneous detection and relative quantification of nuclear and mitochondrial fragments of ccfDNA. Three pathologies of major burden, one malignancy (Breast Cancer, BrCa), one inflammatory (Osteoarthritis, OA) and one metabolic (Type 2 Diabetes, T2D), were studied. Higher levels of ccf-mtDNA were detected both in BrCa and T2D in relation to health, but not in OA. In BrCa, hormonal receptor status was associated with ccf-mtDNA levels. Machine learning analysis of ccf-mtDNA datasets was used to build biosignatures of clinical relevance. (A) a three-feature biosignature discriminating between health and BrCa (AUC: 0.887) and a five-feature biosignature for predicting the overall survival of BrCa patients (Concordance Index: 0.756). (B) a five-feature biosignature stratifying among T2D, prediabetes and health (AUC: 0.772); a five-feature biosignature discriminating between T2D and health (AUC: 0.797); and a four-feature biosignature identifying prediabetes from health (AUC: 0.795). (C) a biosignature including total plasma ccfDNA with very high performance in discriminating OA from health (AUC: 0.934). Aberrant ccf-mtDNA levels could have diagnostic/prognostic potential in BrCa and Diabetes, while the developed multiparameter biosignatures can add value to their clinical management.
线粒体来源的循环游离DNA(ccf-mtDNA)占血液或其他生物体液中总ccfDNA的一小部分。在许多病理情况下都观察到ccf-mtDNA水平异常。在此,我们介绍一种基于Taqman探针的简单有效的标准化双重定量PCR检测方法,用于同时检测和相对定量ccfDNA的核片段和线粒体片段。我们研究了三种主要疾病,一种恶性肿瘤(乳腺癌,BrCa)、一种炎症性疾病(骨关节炎,OA)和一种代谢性疾病(2型糖尿病,T2D)。与健康人群相比,在BrCa和T2D患者中均检测到较高水平的ccf-mtDNA,但在OA患者中未检测到。在BrCa中,激素受体状态与ccf-mtDNA水平相关。利用ccf-mtDNA数据集的机器学习分析构建具有临床相关性的生物标志物。(A)一个区分健康人和BrCa患者的三特征生物标志物(曲线下面积:0.887)和一个预测BrCa患者总生存期的五特征生物标志物(一致性指数:0.756)。(B)一个在T2D、糖尿病前期和健康人群中进行分层的五特征生物标志物(曲线下面积:0.772);一个区分T2D和健康人群的五特征生物标志物(曲线下面积:0.797);以及一个从健康人群中识别糖尿病前期的四特征生物标志物(曲线下面积:0.795)。(C)一个包括总血浆ccfDNA的生物标志物,在区分OA和健康人群方面具有非常高的性能(曲线下面积:0.934)。异常的ccf-mtDNA水平在BrCa和糖尿病中可能具有诊断/预后潜力,而所开发的多参数生物标志物可为其临床管理增加价值。