Scientific Reports · 2021 · 38 citations · 33 references
MedicineClinical SciencesMolecular BiologyClinical BiochemistryClinical ImmunologyMolecular DiagnosticsAssay ValidationBioanalytical Method ValidationBiomarker ValidationNucleic Acid ExtractionCirculating Biomarker ValidationCirculating Cell-free Dna AnalysisDna ExtractionHuman Dna QuantificationIncurred Sample ReanalysisMolecular Testing ValidationQuantitative Pcr DetectionSystemic Lupus Erythematosus Associations
Circulating cell-free DNA (cfDNA) has been investigated as a screening tool for many diseases. To avoid expensive and time-consuming DNA isolation, direct quantification PCR assays can be established. However, rigorous validation is required to provide reliable data in the clinical and non-clinical context. Considering the International Organization for Standardization, as well as bioanalytical method validation guidelines, we provide a comprehensive procedure to validate assays for cfDNA quantification from blood plasma without DNA isolation. A 90 and 222 bp assay was validated to study the kinetics of cfDNA after exercise in patients with systemic lupus erythematosus (SLE). The assays showed ultra-low limit of quantification (LOQ) with 0.47 and 0.69 ng/ml, repeatability ≤ 11.6% (95% CI 8.1-20.3), and intermediate precision ≤ 12.1% (95% CI 9.2-17.7). Incurred sample reanalysis confirmed the precision of the procedure. The additional consideration of pre-analytical factors shows that centrifugation speed and temperature do not change cfDNA concentrations. In SLE patients cfDNA increases ~ twofold after a walking exercise, normalizing after 60 min of rest. The established assays allow reliable and cost-efficient quantification of cfDNA in minute amounts of plasma in the clinical setting. Additionally, the assay can be used as a tool to determine the impact of pre-analytical factors and validate cfDNA quantity and quality of isolated samples.
33
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 85.6K citations · Full text
Matplotlib: A 2D Graphics Environment
John D. Hunter · Computing in Science & Engineering · 2007 · 39.6K citations