BACKGROUND: The quest for noninvasive methods to diagnose rejection in solid-organ transplants has been rejuvenated by recent observations that specific cytotoxic T-cell markers are up-regulated during rejection. METHODS: We developed a one-step real-time polymerase chain reaction (PCR) method allowing reliable detection of the expression of several T-cell genes within a relatively short period of time. The assay is highly sensitive and reproducible with a wide dynamic range allowing accurate quantification of target mRNA in as little as 3 pg total RNA. The utility of this assay in detecting renal allograft rejection was evaluated. Peripheral blood mononuclear cells were collected from 27 patients undergoing kidney allograft biopsies for renal dysfunction after transplantation. Expression of the T-cell activation markers, granzyme B, perforin, and HLA-DRA, was quantified and correlated to the histopathologic changes in the renal biopsies. RESULTS: In cases with allograft rejection (n=8), peripheral lymphocyte expression was increased for granzyme B (P <0.001) and perforin (P <0.08) compared with cases without rejection (n=19). Granzyme B mRNA up-regulation showed the highest specificity for detecting rejection (95%). Moreover, HLA-DRA mRNA was significantly up-regulated (P <0.0016) and had the highest sensitivity (88%) detecting rejection. The up-regulation of both granzyme B and HLA-DRA was most specific in detecting rejection, P<0.001. CONCLUSIONS: These data demonstrate that a rapid test of target gene up-regulation using real-time PCR can be used as an aid in the diagnosis of kidney allograft rejection. This is also the first report on the possible utility of HLA-DRA mRNA up-regulation as a marker for kidney transplant rejection.
BACKGROUND: The quest for noninvasive methods to diagnose rejection in solid-organ transplants has been rejuvenated by recent observations that specific cytotoxic T-cell markers are up-regulated during rejection. METHODS: We developed a one-step real-time polymerase chain reaction (PCR) method allowing reliable detection of the expression of several T-cell genes within a relatively short period of time. The assay is highly sensitive and reproducible with a wide dynamic range allowing accurate quantification of target mRNA in as little as 3 pg total RNA. The utility of this assay in detecting renal allograft rejection was evaluated. Peripheral blood mononuclear cells were collected from 27 patients undergoing kidney allograft biopsies for renal dysfunction after transplantation. Expression of the T-cell activation markers, granzyme B, perforin, and HLA-DRA, was quantified and correlated to the histopathologic changes in the renal biopsies. RESULTS: In cases with allograft rejection (n=8), peripheral lymphocyte expression was increased for granzyme B (P <0.001) and perforin (P <0.08) compared with cases without rejection (n=19). Granzyme B mRNA up-regulation showed the highest specificity for detecting rejection (95%). Moreover, HLA-DRA mRNA was significantly up-regulated (P <0.0016) and had the highest sensitivity (88%) detecting rejection. The up-regulation of both granzyme B and HLA-DRA was most specific in detecting rejection, P<0.001. CONCLUSIONS: These data demonstrate that a rapid test of target gene up-regulation using real-time PCR can be used as an aid in the diagnosis of kidney allograft rejection. This is also the first report on the possible utility of HLA-DRA mRNA up-regulation as a marker for kidney transplant rejection.
Authors: Steve Oghumu; Uday Nori; Anna Bracewell; Jianying Zhang; Cherri Bott; Gyongyi M Nadasdy; Sergey V Brodsky; Ronald Pelletier; Abhay R Satoskar; Tibor Nadasdy; Anjali A Satoskar Journal: Clin Transplant Date: 2016-08-08 Impact factor: 2.863
Authors: K S Keslar; M Lin; A A Zmijewska; T K Sigdel; T Q Tran; L Ma; M Bhasin; P Rao; R Ding; D N Iklé; R B Mannon; M M Sarwal; T B Strom; E F Reed; P S Heeger; M Suthanthiran; R L Fairchild Journal: Am J Transplant Date: 2013-07 Impact factor: 8.086
Authors: S M Kurian; A N Williams; T Gelbart; D Campbell; T S Mondala; S R Head; S Horvath; L Gaber; R Thompson; T Whisenant; W Lin; P Langfelder; E H Robison; R L Schaffer; J S Fisher; J Friedewald; S M Flechner; L K Chan; A C Wiseman; H Shidban; R Mendez; R Heilman; M M Abecassis; C L Marsh; D R Salomon Journal: Am J Transplant Date: 2014-04-11 Impact factor: 8.086
Authors: Charlotte A Allen; Susan L Payne; Melissa Harville; Noah Cohen; Karen E Russell Journal: J Immunol Methods Date: 2007-09-04 Impact factor: 2.303