Literature DB >> 24693507

Influence of Donors' and Recipients' HLA Typing on Renal Function Immediately After Kidney Transplantation.

Zohreh Rostami1, Nasrollah Shafighiee1, Mohammad Mahdi Baghersad1, Behzad Einollahi1.   

Abstract

BACKGROUND: The human leukocyte antigen (HLA) system is widely used as a strategy in the search for the etiology of renal function impairment.
OBJECTIVES: This study was carried out to detect the most common HLA alleles' distribution in kidney transplant in both donors and recipients, and clarify the association between HLA alleles and renal dysfunction immediately after transplantation. PATIENTS AND METHODS: HLA-class I and II alleles typing by PCR-SSOP was performed on a total of 874 recipients aged 40.7 ± 13.8 (male/female: 562/279) and 874 donor aged 27.5 ± 5.3 (male/female: 683/110), between 2006 and 2009 in Baqiyatallah, hospital, Tehran, Iran. In this retrospective, cross sectional study, data were obtained from personal files. Donors aged 40.9 ± 13.6 years and male/female 390/195, while recipients had a mean age 27.5 ± 5.3 and male/female 523/83. Renal dysfunction defined as acute rejection, acute tubular necrosis and Delay graft function.
RESULTS: In this study common alleles at each of the loci for the human leukocyte antigen (HLA) class I (A, B, and C) and class II (DR and DQ) were A2 (n = 186, 33.8%), Bw6 (n = 196, 47.5%), Cw4 (n = 164, 39.7%), DR52 (n = 161, 29.6%), DQ3 (n = 101, 40.1%) for donors; while A2 (n = 200, 34%), BW6 (n = 235, 38.8%), Cw6 (n = 23, 15.2%), DR511 (n = 174, 30.4%), DQ1 (n = 99, 46.3%) for recipients. We detected a total of 139 case of renal dysfunction among RTRs. By the way only cold ischemic time (P = 0.03) and severe anemia (P = 0.000) were significantly associated with renal dysfunction early post kidney transplantation.
CONCLUSIONS: We can predict high risk groups before kidney transplantation and try to establish a screening program for the detection of genetic susceptibility to renal function impairment. HLA typing of the donors and recipients might influence the development of new treatment strategy.

Entities:  

Keywords:  Delayed Graft Function; Histocompatibility Testing; Kidney Transplantation

Year:  2013        PMID: 24693507      PMCID: PMC3955292          DOI: 10.5812/numonthly.12328

Source DB:  PubMed          Journal:  Nephrourol Mon        ISSN: 2251-7006


1. Background

Human leukocyte antigen (HLA) molecules are expressed on almost all nucleated cells (1). The HLA region on chromosome 6p21.31 comprises six major loci that express proteins which are classified into HLA class I (HLA-A, B, C) and class II (HLA-DR, -DQ, -DP) antigens. Although protection against pathogens is the primary function of HLA molecules, they are major barrier to transplantation which initiate graft rejection (2). HLA loci is one of the most polymorphic loci in the human genome, (3) but a limited number of alleles are found at a gene frequency more than 0.001 in a specified population (4). In kidney transplantation, efforts are made to match at the HLA-A, -B, and -DR loci (5).

2. Objectives

Due to the high polymorphism in the HLA system and since some of the HLA antigens appear to be more immunogenic, this study was designed to detect the most common distribution of HLA alleles in Iranian kidney transplant donors and recipients. The understanding of HLA subtype frequency has also permitted a better ABDR matching of donor and recipient and better clinical results.

3. Patients and Methods

HLA-class I and II alleles typing by PCR-SSOP was performed on a total of 874 recipients aged 40.7 ± 13.8 (male/female: 562 /279) with median dialysis duration time 11 (0-438) months, and 874 donor aged 27.5 ± 5.3 (male/female: 683/110), between 2006 and 2009 in Baqiyatallah, hospital, Tehran, Iran. In this retrospective, cross-sectional study, allele frequencies, history of renal dysfunction, and other participants’ data were obtained from personal files by two trained medical students. Polymerase chain reaction method was used for DNA replication and HLA typing. All data were extracted from personal file. In order to determine allele frequencies, participants’ data files were reviewed by two trained medical students. Polymerase chain reaction method was used for DNA replication and HLA typing. Two or more alleles that express the similar antigen were defined as a single allele.

3.1. Renal dysfunction

The definition of acute rejection was based on the conventional histological and clinical criteria of the reporting centers. Acute tubular necrosis (ATN) was defined clinically and histologically. Delay graft function (DGF) means dialysis requirement during the first week after kidney transplantation. World Health Organization criteria, has defined a hemoglobin (Hb) level less than 11 g/dL for men and less than 10 g/dL for women as severe anemia. Body mass index (BMI) was defined in weight (kg)/height (m2).

3.2. Statistics

Data were analyzed with SPSS software (version 17.0). Quantitative variables were expressed as mean ± standard deviation, whereas qualitative variables were shown as number and percentage. Continuous data were compared by Student’s t-test, and categorized data were analyzed using the Chi-square or Fisher’s exact test.

4. Results

In the current study, common alleles at each loci for the human leukocyte antigen (HLA) class I (A, B, and C) and class II (DR and DQ) are summarized in Table 1. We identified 17 distinct alleles for HLA A, 33 alleles for HLA B and 7 alleles at the HLA C locus, whereas a total of 21 alleles and 13 alleles for both DR and DQ loci, respectively. We detected a total of 139 case of renal dysfunction among RTRs, with mean age of 40.9 ± 12.9 and male/female ratio of 86/48. In addition panel reactivity (more than 40%) significantly is more frequent in recipients who have DQ1 allele (P = 0.02). Mean cold and warm ischemic time were (21.3 ± 16.2) and (16.4 ± 1.7) respectively.
Table 1.

The Most Frequent Alleles in Donors and Recipients

HLADonor, No. (%)Recipient, No. (%)
A2 186 (33.8)200 (34)
A3 110 (20)874 (22.1)
Bw4 164 (39.7)198 (32.7)
Bw6 196 (47.5)235 (38.8)
Cw4 79 (8.4)9 (7)
Cw6 22 (2.3)23 (15.2)
DR11 78 (14.4)174 (30.4)
DR52 161 (29.6)149 (25.3)
DQ1 95 (42.6)99 (46.3)
DQ3 101 (40.1)83 (36.2)
The most common alleles in diabetes mellitus, hypertension and autosomal dominant poly cystic kidney disease were summarized in Table 2.
Table 2.

The Most Common Alleles in Diabetes Mellitus, Hypertension and Autosomal Dominant Poly Cystic Kidney Disease

ESRD Etiology No. (%)Frequency The Most Common Alleles
DMa 164 (27.8)A2BW4CW4DR11DQ3
HTNa 311 (52.8)A2BW6CW6DR52DQ1
ADPKDa 54 (9.2)A2 = A3BW4 = BW6CW4DR11DQ1
Others 60 (10.2)

a Abbrviations: DM, diabetes mellitus; HTN, hypertension; ADPKD, autosomal dominant poly cystic kidney disease; ESRD, end stage renal disease.

a Abbrviations: DM, diabetes mellitus; HTN, hypertension; ADPKD, autosomal dominant poly cystic kidney disease; ESRD, end stage renal disease. In the univariate analysis, only long cold ischemic time (23.9 ± 19.7 vs. 20.6 ± 15.09, P = 0.03) and severe anemia (110 vs. 21, P = 0) were associated with renal dysfunction. ATN (12.3 ± 2.1 vs. 6.2 ± 0.2, P = 0.000) and DGF (24.7 ± 3.5 vs. 21.2 ± 1.2, P = 0.04) were frequent in long cold ischemic time. Association between ATN, DGF and acute rejection with other variables such as recipients and donors’ age, gender, BMI, donor source and warm ischemic time were not significant. We revealed demographic differences and HLA distribution among ATN, DGF and acute rejection in Table 3. Severe anemia detected in 555 (67.7%) of recipients.
Table 3.

Renal Dysfunction According to Demograghic and Common HLA Distibution Among Donors and Recipients.

ATN[a]Acute RejectionDGF[a]
Number 369656
Living donor source 309647
Donor gender
Male318342
Female 51314
Recipient gender
Male236632
Female 133024
Donor age, Mean (SD), y 41.2 (12.6)39 (12.7)39.9 (15.9)
Recipient age, Mean (SD), y 27.3 (4.7)27.8 (5.6)38 (27.6)
Warm ischemic time, Mean (SD), min 16.4 (2.2)16.5 (2.1)16.9 (1.9)
Cold ischemic time, Mean (SD), min 23.8 (12.3)21.2 (10.8)30.1 (24.7)
Severe anemia No. (%) 29 (80.6)75 (85.2%)47 (88.7%)
The most common donor HLA
A2 = 9A2 = 25A2 = 12
BW4 = 12BW6 = 20B35 = 9
CW2 = 3CW4 = 13CW6 = 4
DR11 = DR13 = 5DR52 = 36DR52 = 14
DQ1 = 3DQ1 = 23DQ1 = 7
The most common recipient HLA
A2 = 14A2 = 34A2 = 16
BW6 = 11BW6 = 22BW4 = 9
CW2 = 4CW4 = 14CW1 = CW4 = 5
DR4 = 9DR52 = 29DR53 = 18
DQ1 = 6DQ1 = 25DQ1 = 12

a Abbreviations: ATN, acute tubular necrosis; DGF, delay graft function

a Abbreviations: ATN, acute tubular necrosis; DGF, delay graft function

5. Discussion

HLA antigens expressed on the cell membrane encompass an important role in the immune response to grafted tissue. In addition, distribution of HLA allelic subtypes vary in different populations so, information about the distribution of HLA genotypes in different populations may be important because probability of incompatibility at the allele level will be affected by different origins of recipients and donors (6) and theoretically, highly compatible donor can prevent graft rejection and increase the graft survival rate (1, 7). In transplantation, frequencies of HLA genotypes can be used to predict the chance of detecting a highly HLA match donor for an exacting recipient and to determine the effect of HLA mismatching on different renal transplant complications (8). In the unrelated renal transplantation, it is well known that high HLA matching decreases the risk of post-transplant complications, although the relative role of individual loci remains unknown (6). Since HLA system has wide-ranging polymorphism, large population samples are needed to conclude an acceptable estimation of allele frequencies. HLA typing for organ transplantation has supplied a large populations examined as donors or recipients for HLA data analysis (8). While more than 1300 alleles were defined for HLA at the DNA sequence level and several allelic subtypes were detected for most of them, a limited number of alleles have been identified in a specific population (6). As HLA A, HLA B and HLA DR have the most prominent impact on transplantation, (1, 5) this study represents the most common HLA present in both class I and class II loci in Iranian population which is illustrated in Table 1. A2, Bw6 and DR52 are the most common in donors whereas A2, Bw6 and DR11 are the most common in recipients. By the way, we concluded several complications were more frequent in recipients with HLA A3, Bw4 and Bw6. But we have to confirm these finding by large prospective studies too. Conclusion: HLA typing of the donors and recipient might influence the development of new treatment strategy; additionally it provides useful data for HLA matching in transplantation. We can predict high risk group before kidney transplantation and try to establish a screening program for the detection of genetic susceptibility to renal function impairment. HLA typing of the donors and recipient might influence the development of new treatment strategy.
  8 in total

Review 1.  The human leucocyte antigens and clinical medicine: an overview.

Authors:  J McCluskey; C A Peh
Journal:  Rev Immunogenet       Date:  1999

2.  HLA class I (A, B, C) and class II (DRB1, DQA1, DQB1, DPB1) alleles and haplotypes in the Han from southern China.

Authors:  E Trachtenberg; M Vinson; E Hayes; Y-M Hsu; K Houtchens; H Erlich; W Klitz; Y Hsia; J Hollenbach
Journal:  Tissue Antigens       Date:  2007-09-27

Review 3.  HLA compatibility and organ transplant survival. Collaborative Transplant Study.

Authors:  G Opelz; T Wujciak; B Döhler; S Scherer; J Mytilineos
Journal:  Rev Immunogenet       Date:  1999

4.  Analysis of the frequencies of HLA-A, B, and C alleles and haplotypes in the five major ethnic groups of the United States reveals high levels of diversity in these loci and contrasting distribution patterns in these populations.

Authors:  K Cao; J Hollenbach; X Shi; W Shi; M Chopek; M A Fernández-Viña
Journal:  Hum Immunol       Date:  2001-09       Impact factor: 2.850

5.  The frequencies of HLA alleles and haplotypes and their distribution among donors and renal patients in the UNOS registry.

Authors:  A A Zachary; A G Steinberg; W B Bias; M S Leffell
Journal:  Transplantation       Date:  1996-07-27       Impact factor: 4.939

6.  Detection and analysis of HLA class I and class II specific alloantibodies in the sera of dialysis recipients waiting for a renal retransplantation.

Authors:  Sergio Barocci; Umberto Valente; Arcangelo Nocera
Journal:  Clin Transplant       Date:  2007 Jan-Feb       Impact factor: 2.863

Review 7.  Molecular basis of HLA polymorphism: implications in clinical transplantation.

Authors:  J M Tiercy
Journal:  Transpl Immunol       Date:  2002-05       Impact factor: 1.708

8.  Impact of human leukocyte antigen matching and recipients' panel reactive antibodies on two-year outcome in presensitized renal allograft recipients.

Authors:  Hui-lin Meng; Xun-bo Jin; Xiang-tie Li; Hong-wei Wang; Jia-ju Lü
Journal:  Chin Med J (Engl)       Date:  2009-02-20       Impact factor: 2.628

  8 in total
  1 in total

1.  Do elderly patients benefit from renal transplantation?

Authors:  B Einollahi; M Motalebi
Journal:  Indian J Nephrol       Date:  2014-09
  1 in total

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