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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Fukunaga, Koya Nakagawa, Hiroshi Ishikawa, Toshihisa Kubo, Michiaki Mushiroda, Taisei |
| Abstract | Background To investigate the associations between atorvastatin-induced liver injury (AILI) and polymorphisms in eight genes possibly involved in the hepatic metabolism (CYP2C9, CYP2C19, CYP3A4, CYP3A5 and UGT1A1) and membrane transport (ABCB1, ABCG2 and SLCO1B1) of atorvastatin, we genotyped 30 AILI and 414 non-AILI patients recruited at BioBank Japan for 15 single nucleotide polymorphisms (SNPs). Results An SNP in ABCB1 (rs2032582: 2677G > T/A) was significantly associated with AILI (P = 0.00068, odds ratio (OR) = 2.59 with 95 % confidence interval (CI) of 1.49-4.50, G allele versus T and A alleles), indicating that the G allele might be a risk factor for AILI. The cytotoxicity test demonstrated that IC50 value of atorvastatin to inhibit the growth and/or viability of Flp-In-293/ABCB1 (2677G) cells was 5.44 ± 0.10 mM, which was significantly lower than those in Flp-In-293/ABCB1 (2677 T) (6.02 ± 0.07 mM) and Flp-In-293/ABCB1 (2677A) cells (5.95 ± 0.08 mM). Conclusions These results indicate that ABCB1 rs2032582 may predict the risk of AILI in Japanese population. |
| Related Links | https://bmcgenomdata.biomedcentral.com/counter/pdf/10.1186/s12863-016-0390-5.pdf |
| Ending Page | 6 |
| Page Count | 6 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 27306844 |
| DOI | 10.1186/s12863-016-0390-5 |
| Journal | BMC Genomic Data |
| Issue Number | 1 |
| Volume Number | 17 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2016-06-13 |
| Access Restriction | Open |
| Subject Keyword | Life Sciences Animal Genetics and Genomics Microbial Genetics and Genomics Plant Genetics and Genomics Genetics and Population Dynamics Atorvastatin-induced adverse reaction Genetic association Hepatotoxicity MDR1 Ala893Ser/Thr/ |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Informatics Genetics |
| Journal Impact Factor | 1.9/2023 |
| 5-Year Journal Impact Factor | 1.9/2023 |
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