Mycophenolic Acid Exposure Prediction Using Machine Learning

2021 ◽  
Author(s):  
Jean‐Baptiste Woillard ◽  
Marc Labriffe ◽  
Jean Debord ◽  
Pierre Marquet
Keyword(s):  
Machine Learning ◽  
Mycophenolic Acid ◽  
Acid Exposure

Generation and Validation of a Limited Sampling Strategy to Monitor Mycophenolic Acid Exposure in Children With Nephrotic Syndrome

2019 ◽  
Vol 41 (6) ◽  
pp. 696-702 ◽  
Author(s):  
Marcus R. Benz ◽  
Rasmus Ehren ◽  
Daniela Kleinert ◽  
Carsten Müller ◽  
Jutta Gellermann ◽  
...  
Keyword(s):  
Nephrotic Syndrome ◽  
Mycophenolic Acid ◽  
Sampling Strategy ◽  
Acid Exposure ◽  
Limited Sampling Strategy ◽  
Limited Sampling

The Role of Proton Pump Inhibitors on Early Mycophenolic Acid Exposure in Kidney Transplantation: Evidence From the CLEAR Study

2011 ◽  
Vol 33 (1) ◽  
pp. 120-123 ◽  
Author(s):  
Bryce A Kiberd ◽  
Michelle Wrobel ◽  
Raymond Dandavino ◽  
Paul Keown ◽  
Sita Gourishankar
Keyword(s):  
Kidney Transplantation ◽  
Proton Pump Inhibitors ◽  
Proton Pump ◽  
Mycophenolic Acid ◽  
Acid Exposure

scholarly journals Mycophenolic acid exposure and complement fraction C3 influence inosine 5′-monophosphate dehydrogenase activity in systemic lupus erythematosus

2016 ◽  
Vol 54 (4) ◽  
pp. 490-494
Author(s):  
Yasuaki Mino ◽  
Takafumi Naito ◽  
Kumiko Shimoyama ◽  
Noriyoshi Ogawa ◽  
Junichi Kawakami
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Mycophenolate Mofetil ◽  
Dehydrogenase Activity ◽  
Mycophenolic Acid ◽  
Lupus Erythematosus ◽  
Plasma Concentrations ◽  
Interquartile Range ◽  
Acid Exposure ◽  
Systemic Lupus ◽  
Monophosphate Dehydrogenase

Background Mycophenolate mofetil has recently been reported to be effective against systemic lupus erythematosus. The influence of the pharmacokinetics of mycophenolic acid, the active form of mycophenolate mofetil and the major inactive mycophenolic acid phenolic glucuronide on the activity of the target enzyme inosine 5′-monophosphate dehydrogenase, is expected to be revealed. The aim of this study was to identify the factors associated with inosine 5′-monophosphate dehydrogenase activity in systemic lupus erythematosus patients. Methods Fifty systemic lupus erythematosus patients in remission maintenance phase (29 received mycophenolate mofetil [MMF+] and 21 did not [MMF−]) were enrolled. Median and interquartile range of dose of mycophenolate mofetil were 1500 and 1000–1500 mg/day, respectively. Stepwise multiple linear regression analysis was performed to assess the dependence between inosine 5′-monophosphate dehydrogenase activity and 25 predictor values including predose plasma concentrations of free mycophenolic acid and mycophenolic acid phenolic glucuronide. Results Median and interquartile range of predose total plasma concentrations of mycophenolic acid and mycophenolic acid phenolic glucuronide were 2.73 and 1.43–5.73 and 25.5 and 13.1–54.7  µg/mL, respectively. Predose inosine 5′-monophosphate dehydrogenase activity was significantly higher in MMF+ than MMF− patients (median 38.3 and 20.6 nmoL xanthosine 5′-monophosphate/g haemoglobin/h, P<0.01). The plasma concentration of free mycophenolic acid phenolic glucuronide, complement fraction C3 and body weight were significant predictors accounting for interindividual variability in the inosine 5′-monophosphate dehydrogenase activity (adjusted R2 = 0.52, P < 0.01) in a multivariate analysis. Conclusions Predose inosine 5′-monophosphate dehydrogenase activity was higher in systemic lupus erythematosus patients receiving mycophenolate mofetil therapy. Inosine 5′-monophosphate dehydrogenase activity may be determined by mycophenolic acid exposure and complement fraction C3 in systemic lupus erythematosus patients.

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