Search

Introduction: Alterations in cell-free DNA concentration (cfDNA) over time have been studied in diseased or injured patients or analyzed in athletes during exhaustive exercise. However, no fluctuations have been examined over a short time course in healthy humans at rest so far, wherefore the aim of this study was to examine individual variations at different time points within 75 min. Methods: Serial blood drawing was performed in 14 healthy female volunteers at rest within 75 min. Plasma DNA was quantified by real-time qPCR, and absolute levels were analyzed together with relative variations. cfDNA alterations were moreover analyzed in consideration of potential volunteer-related impact factors (e.g., pulse) and were compared to alterations of plasma CK and AST. Results: Absolute cfDNA concentration ranged from 0.6 to 3.4 ng/ml. Regarding alterations over time, positive and negative variations were identified, whereby the interdecile range of fold changes was from 0.5 to 1.4. The maximum fold change was determined at 10 min. No relations were found between cfDNA levels and the analyzed individual factors. Conclusion: We evidenced the variability of cfDNA in healthy humans at rest within a short time course. The determined variations should serve in future studies to distinguish small cfDNA increases after minor trauma from natural fluctuations. Without such reference of intra-individual variation at rest, it would not be feasible to distinguish an injury from a fluctuation with certainty. Thus, a basis was established for the application of cfDNA as biomarker for the detection of mild injuries in forensic biomechanics. [ABSTRACT FROM AUTHOR]

Through various pathways of cell death, degradation, and regulated extrusion, partial or complete genomes of various origins (e.g., host cells, fetal cells, and infiltrating viruses and microbes) are continuously shed into human body fluids in the form of segmented cell-free DNA (cfDNA) molecules. While the genetic complexity of total cfDNA is vast, the development of progressively efficient extraction, high-throughput sequencing, characterization via bioinformatics procedures, and detection have resulted in increasingly accurate partitioning and profiling of cfDNA subtypes. Not surprisingly, cfDNA analysis is emerging as a powerful clinical tool in many branches of medicine. In addition, the low invasiveness of longitudinal cfDNA sampling provides unprecedented access to study temporal genomic changes in a variety of contexts. However, the genetic diversity of cfDNA is also a great source of ambiguity and poses significant experimental and analytical challenges. For example, the cfDNA population in the bloodstream is heterogeneous and also fluctuates dynamically, differs between individuals, and exhibits numerous overlapping features despite often originating from different sources and processes. Therefore, a deeper understanding of the determining variables that impact the properties of cfDNA is crucial, however, thus far, is largely lacking. In this work we review recent and historical research on active vs. passive release mechanisms and estimate the significance and extent of their contribution to the composition of cfDNA. [ABSTRACT FROM AUTHOR]

Gaining a better understanding of the biological properties of cell-free DNA constitutes an important step in the development of clinically meaningful cell-free DNA–based tests. Since the in vivo characterization of cell-free DNA is complicated by the immense heterogeneity of blood samples, an increasing number of in vitro cell culture experiments, which offer a greater level of control, are being conducted. However, cell culture studies are currently faced with three notable caveats. First, the concentration of cell-free DNA in vitro is relatively low. Second, the median amount and size of cell-free DNA in culture medium varies greatly between cell types. Third, the amount and size of cell-free DNA in the culture medium of a single cell line fluctuates over time. Although these are interesting findings, it can also be a great source of experimental confusion and emphasizes the importance of method optimization and standardization. Therefore, in this study, we compared five commonly used cell-free DNA quantification methods, including quantitative polymerase chain reaction, Qubit Double-Stranded DNA High Sensitivity assay, Quant-iT PicoGreen Assay, Bioanalyzer High Sensitivity DNA assay, and NanoDrop Onec. Analysis of the resulting data, along with an interpretation of theoretical values (i.e. the theoretical detection and quantification limits of the respective methods), enables the calculation of optimal conditions for several important preanalytical steps pertaining to each quantification method and different cell types, including the (1) time-point at which culture medium should be collected for cell-free DNA extraction, (2) amount of cell culture supernatant from which to isolate cell-free DNA, (3) volume of elution buffer, and (4) volume of cell-free DNA sample to use for quantification. [ABSTRACT FROM AUTHOR]

• Available cancer biomarkers are associated with low diagnostic performance. • Satellite 2 DNA amount is higher in the blood circulation of patients with cancer. • Satellite 2 DNA may be a universal biomarker for the detection of cancer. Currently, cancer biomarkers are associated with low diagnostic performance, and the notion of using cell-free DNA (cfDNA) as a surrogate cancer biomarker is a subject of ongoing research efforts. Pericentromeric satellite repeats were shown to expand in tumor cells. Here, we hypothesized that the increased release of satellite DNA into the circulation might be a basis for developing a biomarker for the detection of cancer. The study included patients with different cancer types, and controls without cancer. Human satellite 2 repeat (HSATII) from chromosomes 1, 10, or 16 was amplified using extracted DNA from plasma or direct application of diluted plasma in PCR. We first showed that HSATII DNA levels were higher in patients with cancer than in controls relative to LINE1 element, with chr10-HSATII being the most relevant. Absolute quantification in digital PCR showed much higher levels of chr10-HSATII in patients with breast cancer compared with healthy individuals. Subsequently, employing diluted plasma also revealed that HSATII DNA was present in increased levels in patients with cancer including breast, gastric, lung or bile cancers, sarcoma or Hodgkin's lymphoma than in controls with an AUC of 94% in the ROC curve. This proof-of-concept study reveals the high potential of HSATII DNA as a surrogate cancer biomarker. [ABSTRACT FROM AUTHOR]