Copyright
©The Author(s) 2020.
World J Transplant. May 29, 2020; 10(5): 90-103
Published online May 29, 2020. doi: 10.5500/wjt.v10.i5.90
Published online May 29, 2020. doi: 10.5500/wjt.v10.i5.90
Table 1 Candidate single-nucleotide polymorphisms related to the pharmacodynamics pathways of calcineurin inhibitors with quality of evidence of existing data and level of recommendation[6]
Drugs | Gene | SNP | MAF | QOE | LOR |
PPIA | rs8177826, rs6850 | G = 0.033, G = 0.384 | C, D | 3, 4 | |
PPP3CA | rs45441997, rs3804358rs | G = 0.268, G = 0.133 | A, A | 1, 1 | |
PPP3CB | rs376679 | T = 0.066 | A | 1 | |
PPP3R1 | rs3039851, rs1868402 | NA, G = 0.301 | B, A | 2, 1 | |
CALM1 | rs12885713 | T = 0.400 | A | 1 | |
CALM3 | rs150954567, rs3814843, rs3814843 | NA, C = 0.358, C = 0.018 | A, C, C | 1, 3, 3 | |
IL2 | rs2069762, rs2069763, rs6822844 | G = 0.232, A = 0.400, T = 0.146 | A, B, C | 4, 1, 3 |
Limitations | Strengths |
TAC initiated on day 7 (French); Single SNP studied (CYP3A5*3); Limited genotypic diversity with few CYP3A5*1/1 carriers (French); Used same dose for CYP3A5*1/1 and *1/*3 carriers (French); Genotype-based dosing did not account for clinical factors; Low risk populations and underpowered for AR; Dosing regimens designed to achieve target of 10-15 ng/mL | Established the safety of genotype directed dosing (both trials); Genotype dosing reduced time to therapeutic (French); Genotype dosing had greater proportion of troughs in range at day 3 and 10 (French); Fewer dose adjustments (French) |
Table 3 Dosing recommendation for tacrolimus based on CYP3A5 phenotype[12]
CYP3A5 phenotype | Implications for tacrolimus pharmacologic measures | Therapeutic recommendations | Classification of recommendation |
Extensive metabolizer (CYP3A5 expresser) | Lower dose-adjusted trough concentrations of TAC and decreased chance of achieving target TAC concentrations | Increase starting dose to 1.5-2 times recommended starting dose. Use therapeutic drug monitoring to guide dose adjustments | Strong |
Intermediate metabolizer (CYP3A5 expresser) | Lower dose-adjusted trough concentrations of TAC and decreased chance of achieving target TAC concentrations | Increase starting dose to 1.5-2 times recommended starting dose. Use therapeutic drug monitoring to guide dose adjustments | Strong |
Poor metabolizer (CYP3A5 non expresser) | Higher dose-adjusted trough concentrations of TAC and increased chance of achieving target TAC concentrations | Initiate therapy with standard recommended dose. Use therapeutic drug monitoring to guide dose adjustments | Strong |
Table 4 Amount of variability in tacrolimus troughs that can be explained in African American model[39]
Model | Variation of tacrolimus troughs | Variation explained by model |
Simple time-trend model | 0.3114 | - |
Clinical variables | 0.2497 | 19.8% |
Clinical variables + rs776746 | 0.1929 | 39.1% |
Clinical variables + rs10264272 | 0.2495 | 19.9% |
Clinical variables + rs41303343 | 0.2310 | 25.8% |
Clinical variables + rs776746 + rs10264272 | 0.1845 | 40.7% |
Clinical variables + rs776746 + rs41303343 | 0.1553 | 50.1% |
Clinical variables + rs776746 + rs10264272 + rs41303343 | 0.1436 | 53.9% |
Table 5 Tacrolimus doses and concentrations by ancestry in the first 6 mo posttransplant[40]
Native American, n = 77 | Asian ancestry, n = 91 | European ancestry, n = 1966 | African American, n = 461 | P value | |
Trough concentration (ng/mL) | 8.3 | 8.4 | 8.4 | 6.9 | < 0.0001 |
Total daily dose (mg) | 5.0 | 6.0 | 5.0 | 8.0 | < 0.0001 |
Dose-normalized trough concentration (ng/mL per total daily dose in mg) | 1.73 | 1.50 | 1.56 | 0.78 | 0.0001 |
Table 6 Candidate single-nucleotide polymorphisms related to the pharmacodynamics pathways of mammalian target of rapamycin inhibitors with quality of evidence of existing data and level of recommendation[6]
Drugs | Gene | SNP | MAF | QOE | LOR |
mTOR inhibitors | mTOR | rs2024627 | T = 0.270 | A | 1 |
rs2295080 | G = 0.308 | A | 1 | ||
rs1883965 | A = 0.288 | B | 1 | ||
rs1057079 | G = 0.243 | C | 3 |
Table 7 Candidate single-nucleotide polymorphisms related to the pharmacodynamics pathways of mycophenolic acid with quality of evidence of existing data and level of recommendation[6]
Drugs | Gene | SNP | MAF | QOE | LOR |
Mycophenolic acid | IMPDH2 | rs11706052 | G = 0.115 | A | 1 |
IMPDG1 | rs2278293 | A = 0.431 | C | 4 | |
IMPDH1 | rs2278294 | A = 0.323 | C | 4 |
Drug | SNPs | Patients (n) | Outcomes | OR | CI | P value |
CNI | rs2069762TT | 50 | CAN | 4.57 | 1.04-20.11 | 0.044 |
CNI | rs8177826 | 290 | Nephrotoxicity | 3.49 | 1.47-8.24 | 0.006 |
CNI | rs2069762 | 90 | AR | 6.3 | 1.8-22.15 | 0.005 |
EC-MPS | rs11706052 | 237 | AR | 3.39 | 1.42-8.09 | 0.006 |
EC-MPS | rs2278293 | 191 | AR | 0.34 | 0.15-0.76 | 0.008 |
EC-MPS | rs2278294 | 191 | AR | 0.40 | 0.18-0.89 | 0.02 |
Table 9 Association of variant ADME genes to pharmacokinetics of selected small molecule immunosuppressants[80]
Drug | Phase I enzymes | Phase II enzymes | Uptake transporters | ABC transporters | |||
CYP3A4 | CYP3A5 | UGT1A9 | OATP1B1/3 | ABCB1 | ABCC2 | IMPDH I/II | |
rs35599367 | rs776746, rs10264272 | rs17868320, rs6714486 | rs41490556, rs4149117 | rs1128503, rs2032582, rs1045642 | rs717620 | rs2278293, rs2278294, rs11706052 | |
Mycophenolic acid | - | - | + | (+) | - | (+) | + |
Cyclosporine | (+) | - | - | - | (+) | - | - |
Tacrolimus | + | ++ | - | - | (+) | - | - |
Sirolimus | (+) | - | - | - | - | - | - |
- Citation: Salvadori M, Tsalouchos A. Pharmacogenetics of immunosuppressant drugs: A new aspect for individualized therapy. World J Transplant 2020; 10(5): 90-103
- URL: https://www.wjgnet.com/2220-3230/full/v10/i5/90.htm
- DOI: https://dx.doi.org/10.5500/wjt.v10.i5.90