Diagnostic significance of some urinary enzymes for detecting acute rejection crises in renal-transplant recipients: alanine aminopeptidase, alkaline phosphatase, gamma-glutamyltransferase, N-acetyl-beta-D-glucosaminidase, and lysozyme.

1986 ◽  
Vol 32 (10) ◽  
pp. 1807-1811 ◽  
Author(s):  
K Jung ◽  
J Diego ◽  
V Strobelt ◽  
D Scholz ◽  
G Schreiber

Abstract We compared the diagnostic validity of five urinary enzymes--alanine aminopeptidase (EC 3.4.11.2), alkaline phosphatase (EC 3.1.3.1), gamma-glutamyltransferase (EC 2.3.2.2), N-acetyl-beta-D-glucosaminidase (EC 3.2.1.30), and lysozyme (EC 3.2.1.17)--as indicators of acute rejection crises in renal-transplant recipients. In 82 patients (group A), the excretion of each of these five enzymes was measured daily from transplantation until discharge from hospital. In another 69 patients (group B), enzyme determinations were made when the patient came for regular checkups (about every four to eight weeks). We used an "activity ratio" (the activity measured at a particular time compared with the activity on the preceding determination) value of 1.5 as the decision point. In group A, use of this discrimination point for alanine aminopeptidase, gamma-glutamyltransferase, and N-acetyl-beta-D-glucosaminidase yielded a specificity and sensitivity of about 90%. In group B, only alanine aminopeptidase had a greater diagnostic sensitivity than creatinine alone. Evidently, measurement of alanine aminopeptidase can be a helpful indicator of acute rejection crises, when interpreted in combination with other available relevant clinical, biochemical, and immunological data.

1988 ◽  
Vol 34 (3) ◽  
pp. 544-547 ◽  
Author(s):  
K Jung ◽  
M Pergande ◽  
E Schimke ◽  
K P Ratzmann ◽  
A Ilius

Abstract We measured the excretion rates of six urinary enzymes that either originate from the proximal renal tubule, like alanine aminopeptidase (EC 3.4.11.2), alkaline phosphatase (EC 3.1.3.1), gamma-glutamyltransferase (EC 2.3.2.2), and N-acetyl-beta-D-glucosaminidase (EC 3.2.1.30), or that are typical low-molecular-mass proteins, like lysozyme (EC 3.2.1.17) and pancreatic ribonuclease (EC 3.1.27.5). These rates were compared with those of total protein and albumin in urine of 36 insulin-dependent diabetic men and 30 healthy men. Seventeen of the diabetics had "clinical proteinuria," defined as excretion of more than 7.5 g of protein per mole of urinary creatinine (group B). Group A comprised the 19 diabetics without proteinuria. Except for gamma-glutamyltransferase, the excretions of enzymes and proteins were significantly higher in diabetics than in controls and were greater in group B than in group A. N-Acetyl-beta-D-glucosaminidase was the analyte most often increased in group A (89%), followed by albumin and alkaline phosphatase (each 32%). All patients in group B showed increased excretion of N-acetyl-beta-D-glucosaminidase. We conclude from the comparative data that this enzyme may be useful as an early predictor of diabetic nephropathy.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Hatem Kaies Ibrahim Elsayed Ali ◽  
Mahmoud Mohamed ◽  
Nithya Krishnan ◽  
Shafi Malik

Abstract Background and Aims High Panel Reactive Antibody (PRA) level has been widely accepted as a marker for acute rejection risk following kidney transplantation. PRA>/= 20% is considered a high immunological risk renal transplant. The aim of our study was to assess the risk of acute rejection in kidney transplant recipients (KTR) following Basiliximab induction compared to Rabbit Anti-Thymocyte Globulin (R-ATG) maintained on tacrolimus and mycophenolate mofetil maintenance immunotherapy. Method This was a retrospective observational cohort study using data from the United States Organ Procurement and Transplantation Network, all KTR’s with PRA =/> 20%, who were maintained on tacrolimus and mycophenolate mofetil between September 2017 and September 2019 were included. Follow-up was until September 2020. Data included recipient factors (age, sex, ethnicity, diabetes, body mass index), transplant factors (delayed graft function, cold ischemia time, number of previous transplants, panel reactive antibodies, HLA-mismatches, induction therapy, maintenance immunotherapy and donor factors (donor type, donor age). The cohort were divided into 2 groups; living and deceased donor renal transplants. The groups were further divided by PRA level, each group was divided into 3 subgroups: Group A (low PRA level: PRA range from 20% to 49%), Group B (moderate PRA level: PRA range from 50% to 79%), and Group C (High PRA level: PRA range from 80% to 100%). Multivariable logistic regression models were constructed to assess the effect of induction therapies (Basiliximab versus R-ATG) on acute rejection episodes at 6 months post-transplant. The multivariable model was adjusted for recipient, donor and transplant factors mentioned above. Results Among living donor KTR’s, there was no difference between Basiliximab and R-ATG in acute rejection episodes in any of the three groups, Group A (low PRA level, n=717, OR=1.17, P=0.79, 95%CI:0.34-3.95), Group B (moderate PRA level, n=618, OR=1.51, P=0.58, 95%CI:0.33-6.92) and Group C (high PRA level, n=401, OR=1.17, P=0.85, 95%CI:0.21-6.56) respectively. In contrast, among deceased donor KTR’s R-ATG was associated with lower risk of rejection compared to Basiliximab in all three groups, group A (low PRA level, n=1895, OR=0.52, P=0.03, 95%CI: 0.28-0.94), group B (moderate PRA level, n=1618, OR=0.41, P<0.01, 95%CI: 0.22-0.78) and group C (high PRA level, n=3973, P<0.01, 95%CI: 0.28-0.70). Conclusion This study shows that risk of acute rejection is no different with Basilximab induction compared to R-ATG in high immunological risk living-donor KTR’s at all levels of PRA in the current tacrolimus-mycophenolate mofetil immunosuppression era. However, risk of acute rejection seems to be lower in deceased donor KTR’s having R-ATG induction at all levels of PRA. Delayed graft function is a risk factor for acute rejection, our models did not adjust for dose of R-ATG which may explain the lower risk seen in deceased donor KTR’s, data was not available on donor specific antibodies. In summary, Basiliximab induction has similar acute rejection rates as R-ATG in living donor KTR’s whereas in deceased donor KTR’s R-ATG was found to be better.


2010 ◽  
Vol 104 (10) ◽  
pp. 804-810 ◽  
Author(s):  
Rossella Marcucci ◽  
Anna Maria Gori ◽  
Roberto Caporale ◽  
Alessandra Fanelli ◽  
Rita Paniccia ◽  
...  

SummaryRenal transplant recipients (RTRs) patients are at increased risk of cardiovascular morbidity and mortality. We aimed this study to assess reticulated platelets (RP), platelet reactivity and von Willebrand factor (vWF) levels in RTRs patients. In 150 RTRs patients [84 (56%) not on acetylsalicylic acid (ASA) treatment, group A; 66 (44%) on ASA 100 mg treatment, group B] and in 60 healthy control subjects, RP were measured by a Sysmex XE-2100 and were expressed as the percentage of RP of the total optical platelet count (immature platelet fraction; IPF), as the percentage of RP highly fluorescent (H-IPF) and as the absolute number of RP (IPF#). Platelet function was assessed by optical aggregometry (PA) induced by 1 mmol arachidonic acid (AA-PA), 2 and 10 μM ADP (ADP2-PA and ADP10-PA) and 2 μg/ml collagen (Coll-PA). vWF levels were measured by using a miniVidas analyser. Group A and group B showed significant higher values of RP than controls. At a multiple linear regression analysis IPF and IPF# were significantly and positively related to collagen-PA. By analysing group B according to residual platelet reactivity (RPR), we observed a significant higher number of RP among patients with RPR by collagen. Moreover at a multiple logistic regression analysis, IPF# significantly affected the risk of having a RPR by collagen. With regard to vWF, RTRs patients showed higher levels than control subjects. We documented a higher platelet turn-over in both groups of RTRs patients and increased platelet reactivity in RTRs patients not on ASA therapy than controls.


2017 ◽  
Vol 18 (4) ◽  
pp. 381-392 ◽  
Author(s):  
Qinxia Xu ◽  
Xiaoyan Qiu ◽  
Zheng Jiao ◽  
Ming Zhang ◽  
Jianping Chen ◽  
...  

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