Specifications of qPCR based epigenetic immune cell quantification

Author:

Schildknecht Konstantin1,Samans Björn1,Gussmann Jasmin1,Baron Udo1,Raschke Eva1,Babel Nina2,Oppatt Julia1,Gellhaus Katharina3,Rossello Araceli1,Janack Isabell1,Olek Sven1ORCID

Affiliation:

1. Ivana Türbachova Laboratory for Epigenetics, Epiontis, Precision for Medicine GmbH , Berlin , Germany

2. Marienhospital Herne, Klinik I für Innere Medizin, Centrum für Translationale Medizin , Herne , Germany

3. Bundesinstitut für Risikobewertung , Berlin , Germany

Abstract

Abstract Objectives Immune monitoring is an important aspect in diagnostics and clinical trials for patients with compromised immune systems. Flow cytometry is the standard method for immune cell counting but faces limitations. Best practice guidelines are available, but lack of standardization complicates compliance with e.g., in vitro diagnostic regulations. Limited sample availability forces immune monitoring to predominantly use population-based reference intervals. Epigenetic qPCR has evolved as alternative with broad applicability and low logistical demands. Analytical performance specifications (APS) have been defined for qPCR in several regulated fields including testing of genetically modified organisms or vector-shedding. Methods APS were characterized using five epigenetic qPCR-based assays quantifying CD3+, CD4+, CD8+ T, B and NK cells in light of regulatory requirements. Results Epigenetic qPCR meets all specifications including bias, variability, linearity, ruggedness and sample stability as suggested by pertinent guidelines and regulations. The assays were subsequently applied to capillary blood from 25 normal donors over a 28-day period. Index of individuality (IoI) and reference change values were determined to evaluate potential diagnostic gains of individual reference intervals. Analysis of the IoI suggests benefits for individual over population-based references. Reference change values (RCVs) show that changes of approx. Fifty percent from prior measurement are suggestive for clinically relevant changes in any of the 5 cell types. Conclusions The demonstrated precision, long-term stability and obtained RCVs render epigenetic cell counting a promising tool for immune monitoring in clinical trials and diagnosis.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

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