Literature DB >> 20517177

Optimal everolimus concentration is associated with risk reduction for acute rejection in de novo renal transplant recipients.

Laurence Chan1, Erica Hartmann, Diane Cibrik, Matthew Cooper, Leslie M Shaw.   

Abstract

BACKGROUND: Everolimus (Evl) plus tacrolimus (Tac) in de novo renal transplantation is effective and safe. Whether the concentration of Evl affects efficacy and safety in a Tac-based regimen has not been previously reported. AIM: To evaluate whether the concentration of Evl affects biopsy-proven acute rejection (BPAR), renal function, adverse events (AEs); and to assess for pharmacokinetic (PK) interactions.
METHODS: Data were from a prospective, multicenter, open-label, randomized, exploratory 6-month study of 92 renal transplant patients treated de novo with concentration-controlled Evl (target trough levels > or =3 ng/mL) plus low-dose Tac or Evl plus standard-dose Tac; both groups received basiliximab and corticosteroids. Data were pooled across study arms to examine BPAR rates in patients with Evl trough levels less than 3 (n=26), 3 to 8 (n=62), or more than 8 ng/mL (n=4). Groups were stratified by both Evl and Tac trough levels to evaluate glomerular filtration rate and AEs. Evl and Tac PK interactions were evaluated in a subset of 14 patients.
RESULTS: Evl trough level of more than or equal to 3 ng/mL was associated with significantly lower rates of BPAR as compared with a trough level of less than 3 ng/mL. Glomerular filtration rate was similar at 6 months for both the low and standard Tac groups. No apparent PK interactions were observed between Evl and Tac. AEs were infrequent and did not seem to be associated with the Evl or Tac level.
CONCLUSIONS: Evl trough levels > or =3 ng/mL plus Tac are associated with low rates of BPAR without adversely affecting renal function. No evident PK interaction exists between Evl and Tac.

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Year:  2010        PMID: 20517177     DOI: 10.1097/TP.0b013e3181de1d67

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


  10 in total

Review 1.  Calcineurin inhibitor withdrawal or tapering for kidney transplant recipients.

Authors:  Krishna M Karpe; Girish S Talaulikar; Giles D Walters
Journal:  Cochrane Database Syst Rev       Date:  2017-07-21

2.  In human cell cultures, everolimus is inferior to tacrolimus in inhibiting cellular alloimmunity, but equally effective as regards humoral alloimmunity.

Authors:  Theodoros Eleftheriadis; Georgios Pissas; Maria Sounidaki; Georgia Antoniadi; Nikolaos Antoniadis; Vassilios Liakopoulos; Ioannis Stefanidis
Journal:  Int Urol Nephrol       Date:  2017-05-15       Impact factor: 2.370

3.  Population pharmacokinetics and pharmacogenetics of everolimus in renal transplant patients.

Authors:  Dirk Jan A R Moes; Rogier R Press; Jan den Hartigh; Tahar van der Straaten; Johan W de Fijter; Henk-Jan Guchelaar
Journal:  Clin Pharmacokinet       Date:  2012-07-01       Impact factor: 6.447

4.  Functional and histological improvement after everolimus rescue of chronic allograft dysfunction in renal transplant recipients.

Authors:  Kai Ming Chow; Cheuk Chun Szeto; Fernand Mac-Moune Lai; Cathy Choi-Wan Luk; Bonnie Ching-Ha Kwan; Chi Bon Leung; Philip Kam-Tao Li
Journal:  Ther Clin Risk Manag       Date:  2015-05-19       Impact factor: 2.423

5.  Association of Clinical Events With Everolimus Exposure in Kidney Transplant Patients Receiving Low Doses of Tacrolimus.

Authors:  F Shihab; Y Qazi; S Mulgaonkar; K McCague; D Patel; V R Peddi; D Shaffer
Journal:  Am J Transplant       Date:  2017-03-04       Impact factor: 8.086

6.  In Vitro Identification of New Transcriptomic and miRNomic Profiles Associated with Pulmonary Fibrosis Induced by High Doses Everolimus: Looking for New Pathogenetic Markers and Therapeutic Targets.

Authors:  Simona Granata; Gloria Santoro; Valentina Masola; Paola Tomei; Fabio Sallustio; Paola Pontrelli; Matteo Accetturo; Nadia Antonucci; Pierluigi Carratù; Antonio Lupo; Gianluigi Zaza
Journal:  Int J Mol Sci       Date:  2018-04-20       Impact factor: 5.923

7.  Machine learning algorithms to estimate everolimus exposure trained on simulated and patient pharmacokinetic profiles.

Authors:  Marc Labriffe; Jean-Baptiste Woillard; Jean Debord; Pierre Marquet
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-05-22

8.  Effects of NR1I2 and ABCB1 Genetic Polymorphisms on Everolimus Pharmacokinetics in Japanese Renal Transplant Patients.

Authors:  Hironobu Yagishita; Hideaki Kagaya; Mitsuru Saito; Kazuyuki Numakura; Ryohei Yamamoto; Ryuichiro Sagehashi; Tomonori Habuchi; Shigeru Satoh; Masatomo Miura
Journal:  Int J Mol Sci       Date:  2022-10-03       Impact factor: 6.208

Review 9.  Recent advances in renal interstitial fibrosis and tubular atrophy after kidney transplantation.

Authors:  Xiaojun Li; Shougang Zhuang
Journal:  Fibrogenesis Tissue Repair       Date:  2014-10-02

10.  Prediction of Tacrolimus Exposure by CYP3A5 Genotype and Exposure of Co-Administered Everolimus in Japanese Renal Transplant Recipients.

Authors:  Hideaki Kagaya; Takenori Niioka; Mitsuru Saito; Takamitsu Inoue; Kazuyuki Numakura; Ryohei Yamamoto; Yumiko Akamine; Tomonori Habuchi; Shigeru Satoh; Masatomo Miura
Journal:  Int J Mol Sci       Date:  2018-03-16       Impact factor: 5.923

  10 in total

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