Extremely High Cell-free DNA Levels Observed in Renal Allograft Patient With SARS-CoV-2 Infection

A phenol-chloroform free method for cfDNA isolation from cell conditioned media: development, optimization and comparative analysis

The non-invasive invasive nature of cell-free DNA (cfDNA) as diagnostic, prognostic, and theragnostic biomarkers has gained immense popularity in recent years. The clinical utility of cfDNA biomarkers may depend on understanding their origin and biological significance. Apoptosis, necrosis, and/or active release are possible mechanisms of cellular DNA release into the cell-free milieu. In-vitro cell culture models can provide useful insights into cfDNA biology. The yields and quality of cfDNA in the cell conditioned media (CCM) are largely dependent on the extraction method used. Here, we developed a phenol-chloroform-free cfDNA extraction method from CCM and compared it with three others published cfDNA extraction methods and four commercially available kits. Real-Time PCR (qPCR) targeting two different loci and a fluorescence-based Qubit assay were performed to quantify the extracted cfDNA. The absolute concentration of the extracted cfDNA varies with the target used for the qPCR assay; however, the relative trend remains similar for both qPCR assays. The cfDNA yield from CCM provided by the developed method was found to be either higher or comparable to the other methods used. In conclusion, we developed a safe, rapid and cost-effective cfDNA extraction protocol with minimal hands-on time; with no compromise in cfDNA yields.

Integrated cell-free DNA and cytokine analysis uncovers distinct tissue injury and immune response patterns in solid organ transplant recipients with COVID-19

COVID-19 pathogenesis is associated with an exuberant inflammatory response. However, the tissue injury pattern and immune response in solid-organ transplant recipients (SOTRs) taking immunosuppressive therapy have not been well characterized. Here, we perform both cfDNA and cytokine profiling on plasma samples to map tissue damage, including allograft injury and delineate underlying immunopathology. We identified injuries from multiple-tissue types, including hematopoietic cells, vascular endothelium, hepatocyte, adipocyte, pancreas, kidney, heart, and lung in SOTRs with COVID-19 that correlates with disease severity. SOTRs with COVID-19 have higher plasma levels of cytokines such as IFN-λ1, IFN-γ, IL-15, IL-18 IL-1RA, IL-6, MCP-2, and TNF-α as compared to healthy controls, and the levels of GM-CSF, IL-15, IL-6, IL-8, and IL-10 were associated with disease severity in SOTRs. Strikingly, IFN-λ and IP-10 were markedly increased in SOTRs compared to immunocompetent patients with COVID-19. Correlation analyses showed a strong association between monocyte-derived cfDNA and inflammatory cytokines/chemokines in SOTRs with COVID-19. Moreover, compared to other respiratory viral infections, COVID-19 induced pronounced injury in hematopoietic, vascular endothelial and endocrine tissues. Allograft injury, measured as donor-derived cfDNA was elevated in SOTRs with COVID-19, including allografts distant from the primary site of infection. Allograft injury correlated with inflammatory cytokines and cfDNA from immune cells. Furthermore, longitudinal analysis identified a gradual decrease of cfDNA and inflammatory cytokine levels in patients with a favorable outcome. Our findings highlight distinct tissue injury and cytokine features in SOTRs with COVID-19 that correlate with disease severity.

Absolute or Relative Quantification of Donor-derived Cell-free DNA in Kidney Transplant Recipients: Case Series

Background.

Donor-derived cell-free DNA (dd-cfDNA) is increasingly recognized as a valuable biomarker for acute transplant injury, with possible indications in the detection of cellular or humoral rejection and the guidance of immunosuppressive therapy. There is an ongoing debate on whether relative or absolute quantification of dd-cfDNA is more reliable for the detection of acute transplant injury.

Methods.

We retrospectively reviewed all 22 kidney transplant recipients who underwent dd-cfDNA measurements (percentage and absolute) between April 2020 and April 2021 at our institution. Of these, 9 (41%) showed discrepancies between absolute (cutoff: 50 copies/mL) and relative (cutoff: 0.5%) quantification in at least 1 dd-cfDNA measurement.

Results.

We report on 9 of 22 cases with discrepancies in relative and absolute quantification of dd-cfDNA, which were predominantly late posttransplant patients. We found bacterial and viral infections, as well as low leukocyte count from chronic myeloid leukaemia treatment, to be reasons for variability in total cell-free DNA (cfDNA), leading to inter- and intraindividual variability in relative dd-cfDNA quantification. When correlating dd-cfDNA quantification and biopsy results, as well as clinical course, our data indicate that relying solely on relative dd-cfDNA can lead to false-negative and false-positive results.

Conclusions.

In summary, these cases argue that absolute quantification of dd-cfDNA is better suited in patients with underlying conditions affecting total cfDNA levels and suggest using both absolute and relative dd-cfDNA together for higher reliability and interindividual comparability in the clinical setting. Especially for patients with chronic active antibody–mediated rejection, further studies on the use of dd-cfDNA are desirable.