One fits all: a highly sensitive combined ddPCR/pyrosequencing system for the quantification of microchimerism after hematopoietic and solid organ transplantation
Author:
Häuser Friederike1ORCID, Mittler Jens2, Hantal Misra Simge1, Greulich Lilli1, Hermanns Martina1, Shrestha Annette1, Kriege Oliver3, Falter Tanja1, Immel Uta D.4, Herold Stephanie3, Schuch Brigitte3, Lackner Karl J.1, Rossmann Heidi1ORCID, Radsak Markus3
Affiliation:
1. Institute of Clinical Chemistry and Laboratory Medicine, Johannes Gutenberg University Medical Center , Mainz , Germany 2. Department of General, Visceral, and Transplant Surgery , Johannes Gutenberg University Medical Center , Mainz , Germany 3. Department of Medicine III , Johannes Gutenberg University Medical Center , Mainz , Germany 4. Institute of Legal Medicine, Johannes Gutenberg University Medical Center , Mainz , Germany
Abstract
Abstract
Objectives
A combined digital droplet PCR (ddPCR)/pyrosequencing assay system was developed that demonstrated advantages applicable to multiple qualitative and quantitative molecular genetic diagnostic applications. Data for characterizing this combined approach for hematologic stem cell transplantation (HSCT) and allele quantification from graft-derived cell-free (cf) DNA in solid organ transplantation (SOT) is presented.
Methods
ddPCR and pyrosequencing assays targeting 32 SNPs/markers were established. ddPCR results from 72 gDNAs of 55 patients after allogeneic HSCT and 107 plasma-cfDNAs of 25 liver transplant recipients were compared with established methods/markers, i.e. short-tandem-repeat PCR and ALT, respectively.
Results
The ddPCR results were in good agreement with the established marker. The limit of detection was 0.02 % minor allele fraction. The relationship between ddPCR and STR-PCR was linear with R2=0.98 allowing to transfer previously established clinical STR-PCR cut-offs to ddPCR; 50-fold higher sensitivity and a variation coefficient of <2 % enable the use of low DNA concentrations (e.g. pre-sorted cells). ddPCR detected liver allograft injury at least as sensitive as ALT suggesting that ddPCR is a reliable method to monitor the transplant integrity, especially when other biomarkers are lacking (e.g. kidney).
Conclusions
Combining pyrosequencing for genotyping and ddPCR for minor allele quantification enhances sensitivity and precision for the patient after HSCT and SOT. The assay is designed for maximum flexibility. It is expected to be suitable for other applications (sample tracking, prenatal diagnostics, etc.).
Publisher
Walter de Gruyter GmbH
Subject
Biochemistry (medical),Clinical Biochemistry,General Medicine
Reference32 articles.
1. Lindahl, H, Vonlanthen, S, Valentini, D, Björklund, AT, Sundin, M, Mielke, S, et al.. Lineage-specific early complete donor chimerism and risk of relapse after allogeneic hematopoietic stem cell transplantation for acute myeloid leukemia. Bone Marrow Transplant 2022;57:753–9. https://doi.org/10.1038/s41409-022-01615-8. 2. Blouin, AG, Askar, M. Chimerism analysis for clinicians: a review of the literature and worldwide practices. Bone Marrow Transplant 2022;57:347–59. https://doi.org/10.1038/s41409-022-01579-9. 3. Lion, T, Watzinger, F, Preuner, S, Kreyenberg, H, Tilanus, M, Weger, RD, et al.. The EuroChimerism concept for a standardized approach to chimerism analysis after allogeneic stem cell transplantation. Leukemia 2012;26:1821–8. https://doi.org/10.1038/leu.2012.66. 4. Clark, JR, Scott, SD, Jack, AL, Lee, H, Mason, J, Carter, GI, et al.. Monitoring of chimerism following allogeneic haematopoietic stem cell transplantation (HSCT): technical recommendations for the use of short tandem repeat (STR) based techniques, on behalf of the United Kingdom National External Quality Assessment Service for Leucocyte Immunophenotyping Chimerism Working Group. Br J Haematol 2015;168:26–37. https://doi.org/10.1111/bjh.13073. 5. Jacque, N, Nguyen, S, Golmard, J-L, Uzunov, M, Garnier, A, Leblond, V, et al.. Chimerism analysis in peripheral blood using indel quantitative real-time PCR is a useful tool to predict post-transplant relapse in acute leukemia. Bone Marrow Transplant 2015;50:259–65. https://doi.org/10.1038/bmt.2014.254.
|
|