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Predicting Outcomes of Rat Vascularized Composite Allotransplants through Quantitative Measurement of Chimerism with PCR-Amplified Short Tandem Repeat

  • Hui Yun Cheng*
  • , Xiao Ting Huang
  • , Chih Fan Lin
  • , Nidal F. Al Deek
  • , Ling Yi Shih
  • , Cheng Hung Lin
  • , Fu Chan Wei
  • *此作品的通信作者
  • Chang Gung Memorial Hospital

研究成果: 期刊稿件文章同行評審

3 引文 斯高帕斯(Scopus)

摘要

Chimerism has been associated with the induction and maintenance of tolerance to vascularized composite allotransplants (VCA). Although most VCA studies have examined chimerism using flow cytometry, we proposed that precision in the measurement of chimerism may be better approximated when complimentary polymerase chain reaction (PCR) is applied to a specific short tandem repeat (STR). We identified a STR, D10Rat25, which exhibited a 20 bp difference in length between two rat strains (BN and LEW) often utilized as the donor and recipient in many allotransplantation studies. D10Rat25 was PCR-amplified and quantified with capillary electrophoresis. With pure LEW and BN DNA, a standard curve was constructed to measure chimerism with good linearity. When applied to rat VCA, the relationship between systematic (in peripheral blood) or local (at specific organ/tissues) chimerism to allograft outcomes was noted. We found that peripheral chimerism was elevated by up to 9% postoperative month 1 (POM 1) but then reduced regardless of the final VCA outcome. However, differences in VCA skin chimerism between early rejection and POM 1 (shown as ΔChimerismPOM1-ER) were notable with respect to VCA outcomes. ROC analysis identified the optimum cutoff value as 17.7%. In summary, we have developed a reliable method to quantify the percentage of BN cells/DNA in BN-LEW chimeras. The detection limit was characterized, and the acquired data were comparable with flow cytometry. This method can be applied to solid organ and composite tissue allotransplantation studies.

原文英語
文章編號9243531
期刊Journal of Immunology Research
2020
DOIs
出版狀態已出版 - 2020

文獻附註

Publisher Copyright:
© 2020 Hui-Yun Cheng et al.

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