| Literature DB >> 29113387 |
Lihui Qu1,2,3,4, Yingying Lu1,2,3,4, Meike Ying1,2,3,4, Bingjue Li1,2,3,4, Chunhua Weng1,2,3,4, Zhoutao Xie1,2,3,4, Ludan Liang1,2,3,4, Chuan Lin1,2,3,4, Xian Yang1,2,3,4, Shi Feng1,2,3,4, Yucheng Wang1,2,3,4, Xiujin Shen1,2,3,4, Qin Zhou1,2,3,4, Ying Chen1,2,3,4, Zhimin Chen1,2,3,4, Jianyong Wu1,2,3,4, Weiqiang Lin1,2,3,4,4,5, Yi Shen6, Jing Qin7,8, Hang Xu7, Feng Xu7,8, Junwen Wang9,6, Jianghua Chen1,2,3,4, Hong Jiang1,2,3,4, Hongfeng Huang1,2,3,4.
Abstract
Tacrolimus (FK506) and cyclosporine A (CsA) are widely used to protect graft function after renal transplantation. The aim of the present study is to determine whether the single nucleotide polymorphism of CYP3A5 is a predictive index of FK506 dose requirement, and also the selection yardstick of FK506 or CsA treatment.We tested archival peripheral blood of 218 kidney recipients for CYP3A5 genotyping with PCR-SSP. Meanwhile, the dose of FK506 and CsA was recorded, blood concentration of the drugs was measured, and graft outcome was monitored.These results indicate that CYP3A5*AA/AG carriers need higher FK506 dose than CYP3A5*GG homozygote to achieve the target blood concentration. For CYP3A5*GG carriers, taking FK506 or CsA are both advisable. CYP3A5*AA/AG carriers preferred to CsA treatment depending on the graft outcomes and drug costs. CYP3A5 genotyping is a new approach to detecting FK506 dose requirement and a predictive index for the FK506 or CsA treatment selection in kidney recipients.Entities:
Keywords: CYP3A5; FK506; acute rejection; renal transplantation
Year: 2017 PMID: 29113387 PMCID: PMC5655282 DOI: 10.18632/oncotarget.18150
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Demographic characteristics of patients
| Characteristics | FK506 | CsA | ||
|---|---|---|---|---|
| GG | AA/AG | GG | AA/AG | |
| Patient, n (AA/AG) | 65 | 58 (11/47) | 52 | 43 (9/34) |
| Gender, M/F | 45/20 | 32/26 | 33/19 | 30/13 |
| Age, mean±sd, years | 39.18±10.79b | 39.24±10.34 | 46.10±11.41 | 41.56±11.48 |
| Weight, mean±sd, kg | 56.39±10.74 | 55.04±8.42 | 58.58±8.90 | 57.76±9.62 |
| HLA mismatch, mean±sd | 2.98±1.20 | 2.76±1.44 | 2.81±1.57 | 2.67±1.54 |
| Cause of kidney disease, n | ||||
| Glomerular disease | 59 | 51 | 48 | 40 |
| Gouty nephropathy | 1 | 1 | 0 | 0 |
| Polycystic kidney disease | 2 | 2 | 0 | 1 |
| Others | 3 | 4 | 4 | 2 |
b: p < 0.01 vs CYP3A5*GG with CsA treatment.
Figure 1FK506 dose adjusted concentration related to CYP3A5 genotype
FK506 blood concentrations A., FK506 standardized dose B., and dose normalized FK506 concentration C., of CYP3A5* GG recipients and CYP3A5* AA/AG recipients at 7th day, 1st month, 3rd month, 6th month and 12th month after the kidney transplantation. NS: not significant, **: p < 0.01, ****: p < 0.0001. Error bars in graphs indicates SEM.
Figure 2CsA dose adjusted concentration related to CYP3A5 genotype
CsA blood concentrations A., CsA standardized dose B. and dose normalized CsA concentration C. of CYP3A5* GG recipients and CYP3A5* AA/AG recipients at 7th day, 1st month, 3rd month, 6th month and 12th month after the kidney transplantation. NS: not significant. Error bars in graphs indicates SEM.
Figure 3Clinical parameters of liver and kidney injury related to CYP3A5 genotype and different immunosuppressors
Clinical parameters of kidney function, Scr A., BUN B. and liver injury, ALT C., AST D., for each recipient was measured in 7 day, 1st month, 3rd month, 6th month and 12th month after the kidney transplantation. NS: not significant. Error bars in graphs indicates SEM.
Acute rejection rate in different CYP3A5 genotype
| Characteristics | FK506 | CsA | ||
|---|---|---|---|---|
| GG | AA/AG | GG | AA/AG | |
| Patient, n (AA/AG) | 65 | 58 (11/47) | 52 | 43 (9/34) |
| Acute rejection, n(%) | 4(6.15%)a | 8(13.79%) | 10(19.23%) | 6(13.95%) |
| Acute rejection based on type of Immunosuppressive drugs, n(%) | 12(9.76%) | 16(16.84%) | ||
| Total acute rejection, n(%) | 28(12.84%) | |||
a : p < 0.05 vs CYP3A5*GG with CsA treatment.
Logistic regression hazard ratios for renal acute rejection
| Univariate | Multivariate | |||||
|---|---|---|---|---|---|---|
| RR | 95%CI | RR | 95%CI | |||
| Age | 1.034 | 0.998-1.072 | 0.061 | 1.030 | 0.993-1.069 | 0.115 |
| HLA mismatch | 0.852 | 0.647-1.121 | 0.253 | 0.845 | 0.639 1.117 | 0.236 |
| Genotype | 1.184 | 0.535-2.619 | 0.677 | 1.212 | 0.529-2.777 | 0.650 |
| Calcineurin inhibitor | 1.873 | 0.840-4.178 | 0.125 | 1.419 | 0.604-3.334 | 0.422 |
| Induction therapy | 2.760 | 1.208-6.304 | 0.016 | 2.526 | 1.086-5.876 | 0.031 |
RR, relative risk; CI, con dence interval.
Acute rejection rate before and after CsA shift to FK506
| Genotype | GG | AA/AG | ||||
|---|---|---|---|---|---|---|
| Drug shift | non-shift | drug shift | non-shift | drug shift | ||
| before | after | before | after | |||
| Patient number (AA/AG) | 32 | 20 | 20 | 27 (5/22) | 16 (4/12) | 16 (4/12) |
| Acute rejection n(%) | 3(9.38%) | 7(35%) | 2(10.00%) | 2(7.41%) | 4(25%) | 2(12.50%) |
Side effects rate in different CYP3A5 genotype
| FK-GG (65) | FK-AA/AG (58) | CsA (non-shift)-GG (32) | CsA (non-shift)-AA/AG (27) | ||
|---|---|---|---|---|---|
| Diarrhea | 2 | 0 | 1 | 1 | |
| DILD | 0 | 0 | 0 | 1 | |
| PTDM | 1 | 2 | 4 | 3 | |
| Postoperative Leukocytopenia | 0 | 1 | 0 | 0 |
PTDM: postoperative diabetes mellitus; DILD: Drug-induced liver disease.
Figure 4Costs of patients related to CYP3A5 genotype and different immunosuppressors
Participants’ cost of immunosuppressive agents of different CYP3A5 genotypes. NS: not significant, *: p < 0.05, **: p < 0.01, ****: p < 0.0001, Error bars in graphs indicates SEM.