Solid organ transplantation is the treatment of choice for patients suffering from end-stage organ disease, including for chronic kidney failure. The implementation of effective immunosuppressive therapies has already significantly improved the prognosis for graft survival. However, these therapies are often associated with considerable inter- and intra-individual variability both in terms of response or in terms of pharmacokinetics. Innovative approaches must be considered, such as studying the involvement of intestinal microbiota in the pharmacology of these drugs. The general aim of the study is therefore to relate the variabilities observed in the pharmacology (mainly pharmacokinetics) of immunosuppressive drugs used in renal transplantation (tacrolimus and mycophenolate mofetil) and the composition of the intestinal microbiota of renal transplant patients.
Solid-organ transplantation often requires the implementation of a lifelong immunosuppressive therapy. A combination of tacrolimus (TAC), mycophenolate mofetil (MMF), together with steroids is currently used in over 60% of cases. In some patients however, these therapies are associated with high levels of variability, either in terms of response to treatments or in terms of pharmacokinetics, which remains unexplained. To address the issue, new approaches are being considered, in this study we will investigate the involvement of the intestinal microbiota in the pharmacology of these drugs. This is a particularly promising avenue for drugs with a low therapeutic index and large intra- and inter-individual pharmacokinetic variabilities such as tacrolimus and mycophenolate mofetil. Despite promising preliminary data for tacrolimus, the influence of the gut microbiota in these pharmacokinetic variabilities remains unclear, even less data are available about the involvement of the microbiota in the pharmacokinetics of mycophenolate mofetil. We expect that this study will produce additional information on the effect of immunosuppression drugs on gut microbiota, and the relationship between microbiota composition and variabilities.
Study Type
OBSERVATIONAL
Enrollment
100
Tacrolimus and Mycophenolate Mofetil are given in accordance with patient's current regimen
Cliniques universitaires Saint-Luc
Brussels, Belgium
RECRUITINGStudy of the links between immunosuppressive drugs pharmacology and intestinal microbiota composition
The general aim of the study is to relate the variabilities observed in the pharmacology (mainly pharmacokinetics) of immunosuppressive drugs used in kidney transplantation (tacrolimus and mycophenolate mofetil) and the composition of the intestinal microbiota of these patients.
Time frame: 24 months
Identify links between oral dosage and concentrations found in feces
Study the concentrations of Tacrolimus and Mycophenolate (MPA) Mofetil in feces and highlight predictors depending on microbiota composition
Time frame: 18 months
Identify genetic factors underlying the links between microbiota and Tacrolimus/Mycophenolate Mofetil
Investigate microbial genes responsible for associations between microbiota composition and immuno-suppressant pharmacology
Time frame: 18 months
Tacrolimus concentrations and microbiota
Identify links between microbiota composition and Tacrolimus concentrations in blood.
Time frame: 18 months
Tacrolimus concentrations and genetic polymorphisms
Identify genetic factors able to influence Tac concentrations in blood.
Time frame: 18 months
Tacrolimus concentration and demographics
Investigate the effect of sex and age on Tac concentrations in blood.
Time frame: 18 months
Mycophenolate Mofetil concentration and microbiota
Identify links between microbiota composition and MPA Mofetil concentration in blood and urine.
Time frame: 18 months
Mycophenolate Mofetil concentration and polymorphisms
Identify genetic factors able to influence MPA Mofetil concentrations in blood and urine.
Time frame: 18 months
Mycophenolate Mofetil concentration and demographics
Investigate the effect of sex and age on MPA Mofetil concentrations in blood and urine.
Time frame: 18 months
Investigate potential markers of kidney function in metabolites
Study metabolomics in urine from patients to identify specific markers of kidney function
Time frame: 18 months
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