| Literature DB >> 36246675 |
Fahad Azam1, Moosa Khan2, Abida Shaheen3, AbuBakar Hafeez Bhatti4.
Abstract
Objectives: Polymorphism in cytochrome P450 3A4 (CYP3A4) and its regulatory gene peroxisome proliferator activated receptor (PPARA) may significantly affect the metabolism of tacrolimus. This study aims to explore the effect of the single nucleotide polymorphisms (SNP) of cytochrome P450 3A4 and PPARA on the pharmacological variables of adverse effects and the concentration-to-dose ratio (CDR) of the immune suppressant drug tacrolimus in Pakistani liver transplant recipients.Entities:
Keywords: Tacrolimus; adverse effects; immunosuppression; liver transplant
Year: 2022 PMID: 36246675 PMCID: PMC9532634 DOI: 10.12669/pjms.38.7.6180
Source DB: PubMed Journal: Pak J Med Sci ISSN: 1681-715X Impact factor: 2.340
Clinical characteristics and Demographic data.
| Variables | Recipients (n=81) (Mean±SD) |
|---|---|
| Age(years) | 47.82(10.02) |
| Body mass index(kg/m2) | 26.35(4.67) |
| MELD score | 21.77(5.39) |
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| Week-1 | 2.39±2.02 |
| Week-2 | 3.33±2.27 |
| Week-3 | 1.99±1.19 |
| Week-4 | 2.01±0.90 |
| Mean | 2.43±1.10 |
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| Male recipients/female recipients | 60(74.0) / 21(25.9) |
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| Urdu Speaking | 11(13.6) |
| Sindhi | 13(16.0) |
| Pathan | 18(22.2) |
| Punjabi | 30(37.0) |
| Others | 9(11.1) |
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| HCC, Cryptogenic liver cirrhosis | 2(2.46) |
| HDV | 8(9.87) |
| HBV, HDV | 12(14.81) |
| HBV, ESLD | 12(14.81) |
| HCV | 40(49.38) |
| Other | 7(8.64) |
Post-transplantation Tacrolimus-CDR for each genotype.
| RS-numbers | Week | Tacrolimus-CDR in Transplant Recipients | P-value | ||
|---|---|---|---|---|---|
| CYP3A4 | CC (n=43) | CT (n=25) | TT (n=8) | ||
| Week-1 | 1.63±0.85 | 2.80±0.84 | 3.51±2.26 | .001 | |
| Week-2 | 1.73±0.9 | 2.42±0.61 | 2.39±0.82 | .003 | |
| Week-3 | 1.87±1.07 | 2.53±1.74 | 1.71±0.34 | 0.098 | |
| Week-4 | 2.85±2.07 | 4.0±2.76 | 3.09±1.18 | 0.134 | |
| Mean | 2.02±1.0 | 2.94±1.17 | 2.67±0.84 | 0.003 | |
| PPARA42 | GG(n=52) | GA(n=8) | AA(n=11) | ||
| Week-1 | 2.22±1.65 | 3.39±2.14 | 1.98±1.90 | 0.177 | |
| Week-2 | 3.53±2.42 | 4.28±2.71 | 2.15±1.08 | 0.110 | |
| Week-3 | 2.1±1.19 | 1.73±0.75 | 1.69±1.61 | 0.497 | |
| Week-4 | 2.13±0.85 | 2.31±1.02 | 1.56±0.96 | 0.120 | |
| Mean | 2.5±1.09 | 2.92±1.27 | 1.84±0.90 | 0.089 | |
| PPARA48 | AA(n=23) | GA(n=50) | GG(n=5) | ||
| Week-1 | 2.57±2.05 | 2.37 ± 2.04 | 1.62±2.06 | 0.641 | |
| Week-2 | 3.33±2.14 | 3.38±2.44 | 2.31±0.86 | 0.614 | |
| Week-3 | 2.15±1.28 | 1.93±1.15 | 1.67±1.56 | 0.663 | |
| Week-4 | 2.08±0.96 | 2.03 ± 0.90 | 1.37±0.71 | 0.279 | |
| Mean | 2.53±1.10 | 2.43±1.14 | 1.74±0.55 | 0.357 | |
=statistically significant.
Tacrolimus related adverse effects for each genotype.
| Genotype | Adverse Effects n(%) | Psychosis n(%) | Seizures n(%) | Nephrotoxicity n(%) | ACR n(%) | Sepsis n(%) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CYP3A4 rs35599367 | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) |
| CC(n=43) | 10(13.1) | 33(43.4) | 7(9.2) | 36(47.3) | 1(1.3) | 42(55.2) | 1(1.3) | 42(55.2) | 3(3.9) | 40(46.0) | 8(10.5) | 35(46.0) |
| CT(n=25) | 11(14.4) | 14(18.4) | 9(11.8) | 16(21.0) | 5(6.5) | 20(26.3) | 11(14.4) | 14(18.4) | 0(-) | 25(32.8) | 9(11.8) | 16(21.0) |
| TT(n=8) | 3(3.9) | 5(6.5) | 0(-) | 8(10.5) | 3(3.9) | 5(6.5) | 0(-) | 8(10.5) | 0(-) | 8(10.5) | 6(7.8) | 2(2.6) |
| p-value | 0.19 | 0.05* | 0.003* | < 0.001 | 0.495 | 0.005* | ||||||
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| PPARA 42 rs4253728 | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) |
| AA(n=11) | 6(8.4) | 5(7.0) | 2(2.8) | 9(12.6) | 2(2.8) | 9(12.6) | 3(4.22) | 8(11.26) | 3(4.2) | 8(11.2) | 3(4.2) | 8(1.2) |
| GA(n=8) | 2(2.8) | 6(8.4) | 2(2.8) | 6(8.4) | 2(2.8) | 6(8.4) | 1(1.40) | 7(9.85) | 1(1.4) | 7(9.8) | 2(2.6) | 6(8.4) |
| GG(n=52) | 18(25.3) | 34(47.8) | 13(18.3) | 39(54.9) | 5(7.0) | 47(66.1) | 7(9.8) | 45(63.38) | 7(9.8) | 45(63.3) | 14(19.7) | 38(53.5) |
| p-value | 0.40 | 1.0 | 0.34 | 0.49 | 0.03 | 1.0 | ||||||
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| PPARA48 rs4823613 | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) | (+) | (-) |
| AA(n=23) | 9(11.5) | 14(17.9) | 6(7.6) | 17(21.7) | 5(6.4) | 18(23.0) | 2(2.5) | 21(26.9) | 3(3.8) | 20(25.6) | 4(5.1) | 19(24.3) |
| GA(n=50) | 16(20.5) | 34(43.5) | 9(11.5) | 41(52.5) | 5(6.4) | 45(57.6) | 9(11.5) | 41(52.5) | 7(8.9) | 43(55.1) | 14(17.9) | 36(46.1) |
| GG(n=5) | 2(2.5) | 3(3.8) | 2(2.5) | 3(3.8) | 1(1.2) | 4(5.1) | 0(-) | 5(6.4) | 3(3.8) | 2(2.5) | 1(1.2) | 4(5.1) |
| p-value | 0.79 | 0.34 | 0.32 | 0.47 | 0.04* | 0.75 | ||||||