Literature DB >> 16340785

Clinical and genetic risk factors for posttransplant diabetes mellitus in adult renal transplant recipients treated with tacrolimus.

Kazuyuki Numakura1, Shigeru Satoh, Norihiko Tsuchiya, Yohei Horikawa, Takamitsu Inoue, Hideaki Kakinuma, Shinobu Matsuura, Mitsuru Saito, Hitoshi Tada, Toshio Suzuki, Tomonori Habuchi.   

Abstract

BACKGROUND: The present study investigated the incidence of posttransplant diabetes mellitus (PTDM) and calculated the risk of developing PTDM under a tacrolimus-based immunosuppression based on clinical characteristics, tacrolimus pharmacokinetics, and genetic polymorphisms related to tacrolimus pharmacokinetics or diabetes mellitus.
METHODS: Seventy nondiabetic adult kidney recipients were studied. Patients with continuous high plasma glucose levels, over 6.5 mg/dl of hemoglobin A1c, or requiring insulin and/or oral antidiabetic agents for more than 3 months after transplantation 6 months postoperatively were diagnosed as having PTDM. Twelve genomic polymorphisms were assessed.
RESULTS: Six months after transplantation, 10 recipients (14.3%) developed PTDM. Positive risk factors were age (P=0.019) and body mass index (P=0.038). There were no significant differences in acute rejection rate, total steroid doses, tacrolimus pharmacokinetics or its related to genetic polymorphisms between the two groups. The frequency of PTDM was significantly higher in patients with the vitamin D receptor (VDR) TaqI t allele than in those with the TT genotype (P=0.013). On multivariate analysis, age over 50 years (odds ratio 9.28, P=0.003) and the presence of the VDR TaqI t allele (odds ratio 7.05, P=0.048) were correlated with the development of PTDM.
CONCLUSION: The incidence of PTDM was 14.3% in our cohort. Age over 50 years was a risk factor. The presence of the VDR TaqI t allele may also be a risk factor for PTDM, suggesting that genotyping of diabetes-related polymorphisms is a possible method of predicting a patient's risk for developing PTDM and would be a valuable asset in selecting appropriate immunosuppressive regimens for individuals.

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Year:  2005        PMID: 16340785     DOI: 10.1097/01.tp.0000181142.82649.e3

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


  25 in total

1.  Recommendations for the assessment and reporting of multivariable logistic regression in transplantation literature.

Authors:  A C Kalil; J Mattei; D F Florescu; J Sun; R S Kalil
Journal:  Am J Transplant       Date:  2010-07       Impact factor: 8.086

2.  CYP3A5 *1 allele associated with tacrolimus trough concentrations but not subclinical acute rejection or chronic allograft nephropathy in Japanese renal transplant recipients.

Authors:  Shigeru Satoh; Mitsuru Saito; Takamitsu Inoue; Hideaki Kagaya; Masatomo Miura; Kazuyuki Inoue; Atsushi Komatsuda; Norihiko Tsuchiya; Toshio Suzuki; Tomonori Habuchi
Journal:  Eur J Clin Pharmacol       Date:  2009-01-06       Impact factor: 2.953

Review 3.  Pharmacogenetics of posttransplant diabetes mellitus.

Authors:  P Lancia; T Adam de Beaumais; E Jacqz-Aigrain
Journal:  Pharmacogenomics J       Date:  2017-03-28       Impact factor: 3.550

4.  Weight of ABCB1 and POR genes on oral tacrolimus exposure in CYP3A5 nonexpressor pediatric patients with stable kidney transplant.

Authors:  G N Almeida-Paulo; I Dapía García; R Lubomirov; A M Borobia; N L Alonso-Sánchez; L Espinosa; A J Carcas-Sansuán
Journal:  Pharmacogenomics J       Date:  2017-01-17       Impact factor: 3.550

Review 5.  Post-transplant diabetes mellitus: risk reduction strategies in the elderly.

Authors:  Alain Duclos; Lawrence M Flechner; Charles Faiman; Stuart M Flechner
Journal:  Drugs Aging       Date:  2006       Impact factor: 3.923

Review 6.  Effect of CYP3A and ABCB1 single nucleotide polymorphisms on the pharmacokinetics and pharmacodynamics of calcineurin inhibitors: Part II.

Authors:  Christine E Staatz; Lucy K Goodman; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2010-04       Impact factor: 6.447

7.  Clinical and genetic factors affecting tacrolimus trough levels and drug-related outcomes in Korean kidney transplant recipients.

Authors:  In-Wha Kim; Yoo Jin Moon; Eunhee Ji; Kyung Im Kim; Nayoung Han; Sung Ju Kim; Wan Gyoon Shin; Jongwon Ha; Jeong-Hyun Yoon; Hye Suk Lee; Jung Mi Oh
Journal:  Eur J Clin Pharmacol       Date:  2011-12-20       Impact factor: 2.953

8.  Pre-transplant weight but not weight gain is associated with new-onset diabetes after transplantation: a multi-centre cohort Spanish study.

Authors:  Domingo Marrero; Domingo Hernandez; Lourdes Pérez Tamajón; Manuel Rivero; Ildefonso Lampreabe; Maria Dolores Checa; Jose Manuel Gonzalez-Posada
Journal:  NDT Plus       Date:  2010-06

9.  CRTC2 polymorphism as a risk factor for the incidence of metabolic syndrome in patients with solid organ transplantation.

Authors:  L Quteineh; P-Y Bochud; D Golshayan; S Crettol; J-P Venetz; O Manuel; Z Kutalik; A Treyer; R Lehmann; N J Mueller; I Binet; C van Delden; J Steiger; P Mohacsi; J-F Dufour; P M Soccal; M Pascual; C B Eap
Journal:  Pharmacogenomics J       Date:  2015-12-08       Impact factor: 3.550

10.  Total body irradiation for hematopoietic stem cell transplantation during early childhood is associated with the risk for diabetes mellitus.

Authors:  Ryuichi Nakagawa; Atsumi Hosokawa-Tsuji; Yuki Aoki; Kei Takasawa; Mitsue Maru; Keisuke Nakajima; Akito Sutani; Yuichi Miyakawa; Daisuke Tomizawa; Kenichi Kashimada; Tomohiro Morio
Journal:  Endocrine       Date:  2018-04-24       Impact factor: 3.633

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