Mitochondrial Fraction of Circulating Cell-Free DNA as an Indicator of Human Pathology.
Maria PanagopoulouMakrina KaraglaniKonstantina TzitzikouNikoleta KessariKonstantinos ArvanitidisKyriakos AmarantidisGeorge I DrososSpyros GerouNikoloas PapanasDimitrios PapazoglouStavroula BaritakiTheodoros C ConstantinidisEkaterini ChatzakiPublished in: International journal of molecular sciences (2024)
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.
Keyphrases
- machine learning
- public health
- healthcare
- type diabetes
- mitochondrial dna
- copy number
- mental health
- health information
- oxidative stress
- deep learning
- cardiovascular disease
- health promotion
- endothelial cells
- high throughput
- social media
- human health
- dna methylation
- metabolic syndrome
- risk assessment
- artificial intelligence
- chronic kidney disease
- insulin resistance
- big data
- young adults
- risk factors
- adipose tissue
- glycemic control
- prognostic factors
- label free