ヤマグチ シゲキ
Yamaguchi Shigeki
山口 茂樹 所属 医学部 医学科(東京女子医科大学病院) 職種 教授・基幹分野長 |
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論文種別 | 原著 |
言語種別 | 英語 |
査読の有無 | 査読なし |
表題 | Genome-Wide Association Study Identifies Genetic Polymorphisms Associated with Estimated Minimum Effective Concentration of Fentanyl in Patients Undergoing Laparoscopic-Assisted Colectomy |
掲載誌名 | 正式名:International journal of molecular sciences 略 称:Int J Mol Sci ISSNコード:14220067/14220067 |
掲載区分 | 国外 |
巻・号・頁 | 24(9),pp.8421 |
著者・共著者 | NISHIZAWA Daisuke, MIEDA Tsutomu, TSUJITA Miki, NAKAGAWA Hideyuki, YAMAGUCHI Shigeki, KASAI Shinya, HASEGAWA Junko, NAKAYAMA Kyoko, EBATA Yuko, KITAMURA Akira, SHIMIZU Hirotomo, TAKASHIMA Tadayuki, HAYASHIDA Masakazu, IKEDA Kazutaka |
発行年月 | 2023/05 |
概要 | Sensitivity to opioids varies widely among individuals. To identify potential candidate single-nucleotide polymorphisms (SNPs) that may significantly contribute to individual differences in the minimum effective concentration (MEC) of an opioid, fentanyl, we conducted a three-stage genome-wide association study (GWAS) using whole-genome genotyping arrays in 350 patients who underwent laparoscopic-assisted colectomy. To estimate the MEC of fentanyl, plasma and effect-site concentrations of fentanyl over the 24 h postoperative period were estimated with a pharmacokinetic simulation model based on initial bolus doses and subsequent patient-controlled analgesia doses of fentanyl. Plasma and effect-site MECs of fentanyl were indicated by fentanyl concentrations, estimated immediately before each patient-controlled analgesia dose. The GWAS revealed that an intergenic SNP, rs966775, that mapped to 5p13 had significant associations with the plasma MEC averaged over the 6 h postoperative period and the effect-site MEC averaged over the 12 h postoperative period. The minor G allele of rs966775 was associated with increases in these MECs of fentanyl. The nearest protein-coding gene around this SNP was DRD1, encoding the dopamine D1 receptor. In the gene-based analysis, the association was significant for the SERP2 gene in the dominant model. Our findings provide valuable information for personalized pain treatment after laparoscopic-assisted colectomy. |
DOI | 10.3390/ijms24098421 |
PMID | 37176129 |