Literature DB >> 8116031

Gamma-interferon gene expression in human renal allograft fine-needle aspirates.

C C Nast1, X J Zuo, J Prehn, G M Danovitch, A Wilkinson, S C Jordan.   

Abstract

Cytokines appear to play a major role in acute transplant rejection (AR); however, the specific cytokines initiating AR are not known. To investigate gamma-interferon messenger RNA (mRNA) as a key factor in AR induction, we performed reverse transcription-polymerase chain reaction (RT-PCR) on renal allograft fine-needle aspirates (FNA). Fifteen FNA from 15 patients were processed and interpreted in the standard fashion, the percent of tubular cells with MHC class II expression (DR) quantitated, and aliquots of FNA obtained for RT-PCR. RT-PCR was performed with primers to gamma-IFN with cyclophylin and insulin primers as controls. Retrospective clinical diagnoses were made for each FNA sample. Following RT-PCR, all FNA and FNAs from control normal and AR nephrectomy specimens had cyclophylin present, and in the 9 samples tested insulin was absent. Five patients had AR clinically and by FNA criteria; all 5 had elevated DR and gamma-IFN mRNA present in FNA. Five patients had tubular necrosis or cyclosporine toxicity clinically, and FNA without immune activation or elevated DR and negative gamma-IFN mRNA. Two patients had immune activation by FNA with elevated DR; both FNA expressed gamma-IFN mRNA by Southern blot, one only weakly, and both patients subsequently developed clinical AR. Two patients had recently treated AR, one with persistent DR elevation without-immune activation and negative gamma-IFN mRNA in FNAs. This study demonstrates that RT-PCR can be performed with renal allograft FNA samples. The findings suggest intragraft gamma-IFN mRNA expression occurs in active AR preceding clinical AR, thus defining incipient AR. Detection of gamma-IFN mRNA may offer an early diagnostic tool for detection of AR.

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Year:  1994        PMID: 8116031

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  7 in total

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Authors:  Yunhan Ma; Guoliang Yan; Junjun Guo; Fujun Li; Haiping Zheng; Chenxi Wang; Yingyu Chen; Yuhan Ye; Helong Dai; Zhongquan Qi; Guohong Zhuang
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  7 in total

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