| Literature DB >> 24409300 |
Roger Haruki Yamakawa1, Patricia Keiko Saito1, Waldir Veríssimo da Silva Junior2, Luiz Carlos de Mattos3, Sueli Donizete Borelli1.
Abstract
We investigated the polymorphism of human leukocyte antigens (HLA) and Duffy erythrocyte antigens in chronic kidney disease (CKD) patients in southern Brazil. One hundred and eighty-three CKD patients, over 18 years old, on hemodialysis, were included. HLA-A, -B and -DRB1 typing was performed using the LABType®SSO (One Lambda, Inc.). Duffy phenotypes were determined by gel column agglutination using anti-Fy(a) and anti-Fy(b) monoclonal anti-sera. The patients' predominant ages ranged between 51 and 70 years (43%) and the predominant gender, ethnic group and dialysis period were, respectively, male (62%), white (62%) and 1-3 years (40%). The highest and lowest frequencies of Duffy phenotypes were Fy(a+b+) and Fy(a-b-), respectively. Nineteen HLA-A, 30 HLA-B and 13 HLA-DRB1 allele groups were identified. The most frequent HLA allele groups were HLA-A*01, -A*02, -A*03, -A*11, -A*24; HLA-B*07, -B*15, -B*35, -B*44, -B*51; HLA-DRB1*03, -DRB1*04, -DRB1*07, -DRB1*11 and -DRB1*13. Statistically significant differences were observed in the Duffy and HLA polymorphisms compared between CKD patients and healthy subjects. The Fy(a+b-) phenotype (p<0.0001, OR = 2.56, 95% CI = 1.60-4.07) was the most frequent in the patients (p<0.05), and the Fy(a+b+) phenotype (p = 0.0039, OR = 1.71, 95% CI = 1.18-2.51) was the most frequent in the healthy subjects in the same region of Paraná state (p<0.05). Regarding HLA, the HLA-B*42, -B*45, -B*51 and -DRB1*03 allele groups were the most frequent in the patients (p<0.05), and the HLA-B*44 allele group was the most frequent in the healthy subjects in the same region of Brazil (p<0.05). The polymorphism of these two markers among CKD patients in southern Brazil and healthy subjects of other studies, suggests that these markers might be involved with CKD development. Further studies should be undertaken to analyze the markers' influence on CKD and the long-term results from kidney transplantation.Entities:
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Year: 2014 PMID: 24409300 PMCID: PMC3883691 DOI: 10.1371/journal.pone.0084456
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
General characteristics of CKD patients in southern Brazil.
| Variables | n (183) | f |
|
| ||
| 18–30 | 14 | 0.076503 |
| 31–50 | 65 | 0.355191 |
| 51–70 | 79 | 0.431694 |
| Over 70 | 25 | 0.136612 |
|
| ||
| Female | 69 | 0.377049 |
| Male | 114 | 0.622951 |
|
| ||
| Yellow | 5 | 0.027322 |
| White | 114 | 0.622951 |
| Brown | 42 | 0.229508 |
| Black | 22 | 0.120219 |
|
| ||
| Less than 1 | 41 | 0.224044 |
| 1 to 3 | 74 | 0.404372 |
| 4 to 6 | 38 | 0.20765 |
| Over 6 | 30 | 0.163934 |
Frequency of Duffy phenotypes in CKD patients in southern Brazil compared with healthy subjects in other studies [8], [10], [11].
| Duffy Phenotype | CKD patients (n = 183) | GUELSIN et al. (2011) (PR) (n = 400) | NOVARETTI et al. (2000) (SP) (n = 2462) | HOWES et al. (2011) (worldwide) (n = 50578) | |||||||
| n | f | f | p value | OR (95% CI) | f | p value | OR (95% CI) | f | p value | OR (95% CI) | |
| Fy(a+b−) | 49 | 0.27 | 0.125 | <0.0001 | 2.56 (1.60;4.07) | 0.17 | 0.0012 | 1.80 (1.25;2.56) | 0.33 | 0.0594 | - |
| Fy(a+b+) | 64 | 0.35 | 0.48 | 0.0039 | 1.71 (1.18;2.51) | 0.22 | 0.0001 | 1.91 (1.37;2.66) | 0.30 | 0.1452 | - |
| Fy(a−b+) | 60 | 0.33 | 0.37 | 0.3521 | - | 0.28 | 0.2026 | - | 0.23 | 0.0019 | 1.67 (1.20;2.29) |
| Fy(a−b−) | 10 | 0.05 | 0.025 | 0.0853 | - | 0.33 | <0.0001 | 8.53 (4.49;18.20) | 0.14 | 0.0004 | 2.81 (1.49;5.97) |
|
| 183 | 1 | 0.99 | 0.99 | 0.99 | ||||||
Abbreviations for states: PR, Paraná; SP, São Paulo.
Frequencies of HLA-A, -B and -DRB1 allele groups in CKD patients in southern Brazil.
| HLA-A* | n | f | HLA-B* | n | f | HLA-DRB1* | n | f |
|
| 35 | 0.0956284 |
| 28 | 0.0765027 |
| 32 | 0.0874317 |
|
| 85 | 0.2322404 |
| 17 | 0.0464481 |
| 42 | 0.1147541 |
|
| 40 | 0.1092896 |
| 6 | 0.0163934 |
| 52 | 0.1420765 |
|
| 26 | 0.0710383 |
| 13 | 0.0355191 |
| 39 | 0.1065574 |
|
| 19 | 0.0519126 |
| 30 | 0.0819672 |
| 21 | 0.057377 |
|
| 43 | 0.1174863 |
| 21 | 0.057377 |
| 7 | 0.0191257 |
|
| 6 | 0.0163934 |
| 12 | 0.0327869 |
| 11 | 0.0300546 |
|
| 16 | 0.0437158 |
| 37 | 0.1010929 |
| 55 | 0.1502732 |
|
| 12 | 0.0327869 |
| 3 | 0.0081967 |
| 2 | 0.0054645 |
|
| 20 | 0.0546448 |
| 9 | 0.0245902 |
| 39 | 0.1065574 |
|
| 17 | 0.0464481 |
| 15 | 0.0409836 |
| 18 | 0.0491803 |
|
| 11 | 0.0300546 |
| 15 | 0.0409836 |
| 34 | 0.0928962 |
|
| 13 | 0.0355191 |
| 8 | 0.0218579 |
| 14 | 0.0382514 |
|
| 3 | 0.0081967 |
| 9 | 0.0245902 |
| 0 | 0 |
|
| 2 | 0.0054645 |
| 24 | 0.0655738 | |||
|
| 1 | 0.0027322 |
| 12 | 0.0327869 | |||
|
| 13 | 0.0355191 |
| 1 | 0.0027322 | |||
|
| 1 | 0.0027322 |
| 2 | 0.0054645 | |||
|
| 3 | 0.0081967 |
| 9 | 0.0245902 | |||
|
| 0 | 0 |
| 10 | 0.0273224 | |||
|
| 0 | 0 |
| 44 | 0.1202186 | |||
|
| 10 | 0.0273224 | ||||||
|
| 9 | 0.0245902 | ||||||
|
| 1 | 0.0027322 | ||||||
|
| 4 | 0.010929 | ||||||
|
| 1 | 0.0027322 | ||||||
|
| 7 | 0.0191257 | ||||||
|
| 6 | 0.0163934 | ||||||
|
| 2 | 0.0054645 | ||||||
|
| 1 | 0.0027322 | ||||||
|
| 0 | 0 | ||||||
|
| 0 | 0 | ||||||
|
| 0 | 0 | ||||||
|
| 0 | 0 |
Distributions of the most frequent HLA allele groups in CKD patients in southern Brazil, compared to healthy subjects in other studies [9], [12].
| HLA Allele Groups | CKD Patients (n = 183) | RUIZ et al. (2005) (PR) (n = 3500) | BORTOLOTTO et al. (2012) (RS) (n = 5000) | |||||
| HLA-A* | n | f | f | p value | OR (95% CI) | f | p value | OR (95% CI) |
|
| 35 | 0.095628 | 0.095 | 0.9273 | 0.101 | 0.7914 | ||
|
| 85 | 0.23224 | 0.228 | 0.8481 | 0.278 | 0.0568 | ||
|
| 40 | 0.10929 | 0.093 | 0.311 | 0.104 | 0.7275 | ||
|
| 26 | 0.071038 | 0.052 | 0.1187 | 0.051 | 0.0922 | ||
|
| 43 | 0.117486 | 0.104 | 0.43 | 0.103 | 0.3818 | ||
|
| ||||||||
|
| 28 | 0.076503 | 0.069 | 0.597 | 0.07 | 0.6027 | ||
|
| 30 | 0.081967 | 0.07 | 0.4013 | 0.084 | 1 | ||
|
| 37 | 0.101093 | 0.112 | 0.6089 | 0.125 | 0.1963 | ||
|
| 24 | 0.065574 | 0.105 | 0.0134 | 1.67 (1.1;2.66) | 0.12 | 0.0009 | 1.94 (1.28;3.09) |
|
| 44 | 0.120219 | 0.085 | 0.0278 | 1.47 (1.04;2.05) | 0.087 | 0.0309 | 1.43 (1.01;1.99) |
|
| ||||||||
|
| 42 | 0.114754 | 0.073 | 0.0057 | 1.65 (1.15;2.31) | 0.099 | 0.3277 | |
|
| 52 | 0.142077 | 0.12 | 0.2172 | 0.124 | 0.2953 | ||
|
| 39 | 0.106557 | 0.12 | 0.5079 | 0.131 | 0.2051 | ||
|
| 55 | 0.150273 | 0.125 | 0.1694 | 0.119 | 0.072 | ||
|
| 39 | 0.106557 | 0.117 | 0.6159 | 0.137 | 0.1027 | ||
Abbreviations for states: PR, Paraná; RS, Rio Grande do Sul.