Literature DB >> 22029079

Quantitative assessment of hematopoietic chimerism by quantitative real-time polymerase chain reaction of sequence polymorphism systems after hematopoietic stem cell transplantation.

Xiao-ying Qin1, Guo-xuan Li, Ya-zhen Qin, Yu Wang, Feng-rong Wang, Dai-hong Liu, Lan-ping Xu, Huan Chen, Wei Han, Jing-zhi Wang, Xiao-hui Zhang, Jin-lan Li, Ling-di Li, Kai-yan Liu, Xiao-jun Huang.   

Abstract

BACKGROUND: Analysis of changes in recipient and donor hematopoietic cell origin is extremely useful to monitor the effect of hematopoietic stem cell transplantation (HSCT) and sequential adoptive immunotherapy by donor lymphocyte infusions. We developed a sensitive, reliable and rapid real-time PCR method based on sequence polymorphism systems to quantitatively assess the hematopoietic chimerism after HSCT.
METHODS: A panel of 29 selected sequence polymorphism (SP) markers was screened by real-time PCR in 101 HSCT patients with leukemia and other hematological diseases. The chimerism kinetics of bone marrow samples of 8 HSCT patients in remission and relapse situations were followed longitudinally.
RESULTS: Recipient genotype discrimination was possible in 97.0% (98 of 101) with a mean number of 2.5 (1-7) informative markers per recipient/donor pair. Using serial dilutions of plasmids containing specific SP markers, the linear correlation (r) of 0.99, the slope between -3.2 and -3.7 and the sensitivity of 0.1% were proved reproducible. By this method, it was possible to very accurately detect autologous signals in the range from 0.1% to 30%. The accuracy of the method in the very important range of autologous signals below 5% was extraordinarily high (standard deviation <1.85%), which might significantly improve detection accuracy of changes in autologous signals early in the post-transplantation course of follow-up. The main advantage of the real-time PCR method over short tandem repeat PCR chimerism assays is the absence of PCR competition and plateau biases, with demonstrated greater sensitivity and linearity. Finally, we prospectively analyzed bone marrow samples of 8 patients who received allografts and presented the chimerism kinetics of remission and relapse situations that illustrated the sensitivity level and the promising clinical application of this method.
CONCLUSION: This SP-based real-time PCR assay provides a rapid, sensitive, and accurate quantitative assessment of mixed chimerism that can be useful in predicting graft rejection and early relapse.

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Year:  2011        PMID: 22029079

Source DB:  PubMed          Journal:  Chin Med J (Engl)        ISSN: 0366-6999            Impact factor:   2.628


  5 in total

1.  Detection and quantification of chimerism by droplet digital PCR.

Authors:  David George; Juliann Czech; Bobby John; Min Yu; Lawrence J Jennings
Journal:  Chimerism       Date:  2013-06-20

2.  Analysis of post-transplant chimerism by using a single amplification reaction of 38 Indel polymorphic loci.

Authors:  A Santurtún; J A Riancho; L Yañez; M Santurtún; M T Zarrabeitia
Journal:  Bone Marrow Transplant       Date:  2014-08-11       Impact factor: 5.483

3.  Quantitative chimerism: an independent acute leukemia prognosis indicator following allogeneic hematopoietic SCT.

Authors:  X-Y Qin; G-X Li; Y-Z Qin; Y Wang; F-R Wang; D-H Liu; L-P Xu; H Chen; W Han; J-Z Wang; X-H Zhang; J-L Li; L-D Li; K-Y Liu; X-J Huang
Journal:  Bone Marrow Transplant       Date:  2014-08-04       Impact factor: 5.483

4.  Very Long Term Stability of Mixed Chimerism after Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Hematologic Malignancies.

Authors:  Emmanuel Levrat; Eddy Roosnek; Stavroula Masouridi; Bilal Mohty; Marc Ansari; Jean Villard; Jakob R Passweg; Yves Chalandon
Journal:  Bone Marrow Res       Date:  2015-11-10

Review 5.  Current Trends in Applications of Circulatory Microchimerism Detection in Transplantation.

Authors:  Hajnalka Andrikovics; Zoltán Őrfi; Nóra Meggyesi; András Bors; Lívia Varga; Petra Kövy; Zsófia Vilimszky; Fanni Kolics; László Gopcsa; Péter Reményi; Attila Tordai
Journal:  Int J Mol Sci       Date:  2019-09-10       Impact factor: 5.923

  5 in total

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