| Literature DB >> 30704156 |
Shinji Okabayashi1, Taku Kobayashi1, Eiko Saito1, Takahiko Toyonaga1,2, Ryo Ozaki1,2, Shintaro Sagami1, Masaru Nakano1,2, Junichi Tanaka3, Keiji Yagisawa4, Satoshi Kuronuma5, Osamu Takeuchi5, Toshifumi Hibi1.
Abstract
BACKGROUND/AIMS: The pharmacokinetics of tacrolimus (TAC) is known to be largely influenced by single-nucleotide polymorphisms (SNPs) in CYP3A5. Patients starting TAC require careful dose adjustment, owing to the wide range of optimal dosages, depending on their CYP3A5 expression status. Here, we evaluated whether individualization of TAC dosages based on CYP3A5 SNPs would improve its therapeutic efficacy in ulcerative colitis.Entities:
Keywords: CYP3A5; Colitis, ulcerative; Individualized treatment; Tacrolimus
Year: 2019 PMID: 30704156 PMCID: PMC6505090 DOI: 10.5217/ir.2018.00117
Source DB: PubMed Journal: Intest Res ISSN: 1598-9100
Fig. 1.The required tacrolimus (TAC) dosages in achieving the target blood trough level of 10 ng/mL in study 1 and 2. The required TAC dosages in achieving the target blood trough level were higher in patients with both CYP3A5*1/*1 and CYP3A5*1/*3 than CYP3A5*3/*3 by the Kruskal-Wallis test and the Dunn multiple comparisons test. (A) Study 1: CYP3A5*1/*1 vs. *CYP3A5*3/*3, P=0.027; CYP3A5*1/*3 vs. CYP3A5*3/*3, P=0.046. (B) Study 2: CYP3A5*1/*1 vs. CYP3A5*3/*3, P=0.039; CYP3A5*1/*3 vs. CYP3A5*3/*3, P=0.093. aP<0.05.
Fig. 2.The flowchart showing the initial enrollment cohort for the final analysis. TAC, tacrolimus.
Comparison of Baseline Characteristics between the Fixed- and Individualized-Dose Groups
| Characteristic | Fixed-dose (n=8) | Individualizeddose (n=21) | |
|---|---|---|---|
| Age (yr) | 35.5±3.1 | 38.6±3.5 | 0.61[ |
| Male sex | 5 (62.5) | 14 (66.7) | 1.00[ |
| Body weight (kg) | 57.8±4.3 | 55.0±2.0 | 0.51[ |
| Disease duration (mon) | 84.7±33.0 | 85.0±18.7 | 0.99[ |
| Extent of disease | |||
| Entire colitis | 6 (75.0) | 15 (71.4) | 1.00[ |
| Left-sided colitis | 2 (25.0) | 6 (28.6) | |
| 0.84[ | |||
| Expressor | 1 (12.5) | 3 (14.3) | |
| 4 (50.0) | 8 (38.1) | ||
| Nonexpressor | 3 (37.5) | 10 (47.6) | |
| Initial TAC dosage (mg/day) | 6.0±1.8 | 7.5±2.0 | 0.11[ |
| Time to initial blood test (day) | 3.38±0.42 | 3.00±0.13 | 0.26[ |
| No. of dose adjustment | 0.02[ | ||
| 0 | 1 (12.5) | 13 (61.9) | |
| 1 | 4 (50.0) | 7 (33.3) | |
| ≥2 | 3 (37.5) | 1 (4.8) | |
| Food-intake (yes/no) | 6/2 | 13/8 | 0.67[ |
| Previous use of biologic agents | 3 (37.5) | 15 (71.4) | 0.20[ |
| Immunosuppressive therapy | 5 (62.5) | 14 (66.7) | 1.00[ |
| Lichtiger CAI | 10.6±0.9 | 11.0±0.9 | 0.83[ |
| CRP (mg/dL) | 2.58±1.26 | 4.68±1.59 | 0.43[ |
| Cr (mg/dL) | 0.75±0.07 | 0.74±0.03 | 0.88[ |
Values are presented as mean ± SD or number (%).
Unpaired t-test.
Fisher exact test.
Chi-square test.
TAC, tacrolimus; CAI, clinical activity index; Cr, creatinine.
Fig. 3.The comparison of clinical outcomes between the fixedand individualized-dose groups. (A) The first blood trough levels in patients with CYP3A5 expressors in the individualized-dose group were significantly higher than those in the fixed-dose group (5.15±2.33 ng/mL vs. 9.63±0.79 ng/mL, aP=0.035). (B) The overall rate in achieving the target blood trough level within a week was significantly higher in the individualized-dose group than in the fixed-dose group (12.5% vs. 66.7%, P=0.014). (C) The clinical remission rate at 2 weeks in the individualized-dose group was numerically higher than in the fixed-dose group (40.0% vs. 45.0%, P=1.00). The clinical remission rate at 2 weeks in CYP3A5 expressors was as high as nonexpressors in the individualizeddose group (44.4% vs. 45.4%, P=1.00).
Fig. 4.A Kaplan-Meier curve of relapse-free survival rate according to CYP3A5 genotype in patients who had clinical remission induced successfully at 4 weeks (n=14). There was no statistical difference between CYP3A5 expressors and nonexpressors (P=0.22).
Fig. 5.A Kaplan-Meier curve of renal dysfunction-free survival rate according to CYP3A5 genotype after performing dose adjustment (n=25). There was no statistical difference between CYP3A5 expressors and nonexpressors (P=0.87).