Automation of RNA-based biomarker extraction from dried blood spots for the detection of blood doping

Author:

Loria Francesco1,Manfredi Michelania1,Reverter-Branchat Gemma23,Segura Jordi23,Kuuranne Tiia1,Leuenberger Nicolas1

Affiliation:

1. Swiss Laboratory for Doping Analyses, University Center of Legal Medicine, Lausanne & Geneva, Lausanne University Hospital & University of Lausanne, Switzerland

2. Integrative Pharmacology & Systems Neuroscience Research Group, Neurosciences Research Program, IMIM – Hospital del Mar Medical Research Institute, Barcelona, Spain

3. Catalonian Anti-Doping Laboratory, Doping Control Research Group, Neurosciences Research Program, IMIM – Hospital del Mar Medical Research Institute, Barcelona, Spain

Abstract

Aim: Transcriptomic biomarkers originating from reticulocytes measured in dried blood spots (DBSs) may be reliable indicators of blood doping. Methods/results: Here, we examined changes in the expression levels of the erythropoiesis-related ALAS2, CA1 and SLC4A1 genes in DBS samples from elite athletes and volunteers of clinical study with recombinant erythropoietin dose. Conclusion: By comparing the mean intraday coefficients of variation for ALAS2L, ALASLC, CA1 and SLC4A1 between manual and automated RNA extractions, an average improvement was observed, whereas the assessment of interday variability provided comparable results for both manual and automated approaches. Our results confirmed that RNA biomarkers on DBS support are efficient to detect blood doping.

Publisher

Future Science Ltd

Subject

Medical Laboratory Technology,Clinical Biochemistry,General Pharmacology, Toxicology and Pharmaceutics,General Medicine,Analytical Chemistry

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