Literature DB >> 23073467

Associations of ABCB1 and IL-10 genetic polymorphisms with sirolimus-induced dyslipidemia in renal transplant recipients.

Wai-Johnn Sam1, Christine E Chamberlain, Su-Jun Lee, Joyce A Goldstein, Douglas A Hale, Roslyn B Mannon, Allan D Kirk, Yuen Yi Hon.   

Abstract

BACKGROUND: Hyperlipidemia is a common adverse effect of sirolimus (SRL). We previously showed significant associations of ABCB1 3435C>T and IL-10 -1082G>A with log-transformed SRL dose-adjusted weighted-normalized trough. We further examined to see whether these polymorphisms were also associated with SRL-induced dyslipidemia.
METHODS: Genotyping was performed for ABCB1 1236C>T, 2677 G>T/A, and 3435C>T; CYP3A4 -392A>G; CYP3A5 6986A>G and 14690G>A; IL-10 -1082G>A; TNF -308G>A; and ApoE ε2, ε3, and ε4 alleles. The longitudinal changes of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) levels after SRL treatment before statin therapy were analyzed by a linear mixed-effects model, with adjustments for selected covariates for each lipid.
RESULTS: Under the dominant genetic model, ABCB1 3435C>T was associated with TC (P=0.0001) and LDL-C (P<0.0001) values after SRL administration. Mean TC and LDL-C levels were 26.9 and 24.9 mg/dL higher, respectively, in ABCB1 3435T carriers than 3435CC homozygotes at an average SRL trough concentration of 4 ng/mL without concomitant medication. ABCB1 1236C>T under the recessive model and IL-10 -1082G>A under the dominant model were associated with log-transformed TG values (P=0.0051 and 0.0436, respectively). Mean TG value was 25.1% higher in ABCB1 1236TT homozygotes compared with ABCB1 1236C carriers and was 12.4% higher in IL-10 -1082AA homozygotes than -1082G carriers.
CONCLUSIONS: ABCB1 polymorphisms were found to be associated with lipid responses to SRL treatment, confirming the role of ABCB1 gene in SRL pharmacokinetics and pharmacodynamics. Further studies are necessary to define the role of ABCB1 and IL-10 polymorphisms on SRL-induced dyslipidemia in renal transplantation.

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Year:  2012        PMID: 23073467      PMCID: PMC3491093          DOI: 10.1097/TP.0b013e31826b55e2

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  48 in total

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5.  Framingham risk score and novel cardiovascular risk factors underpredict major adverse cardiac events in kidney transplant recipients.

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10.  Cardiovascular disease in kidney transplant recipients: the prognostic value of inflammatory cytokine genotypes.

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  4 in total

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Authors:  Arnav Agarwal; G V Ramesh Prasad
Journal:  World J Transplant       Date:  2016-03-24

2.  Role of pharmacogenomics in dialysis and transplantation.

Authors:  Kelly Birdwell
Journal:  Curr Opin Nephrol Hypertens       Date:  2014-11       Impact factor: 2.894

Review 3.  Personalization of the immunosuppressive treatment in renal transplant recipients: the great challenge in "omics" medicine.

Authors:  Gianluigi Zaza; Simona Granata; Paola Tomei; Alessandra Dalla Gassa; Antonio Lupo
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4.  The Relationship Between Blood Interleukin-10 and Cardiovascular Mortality and All-Cause Mortality After Kidney Transplantation.

Authors:  Chen Gao; Fenghua Peng; Xubiao Xie; Longkai Peng
Journal:  Risk Manag Healthc Policy       Date:  2021-04-12
  4 in total

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