scholarly journals Interindividual Variability in Lymphocyte Stimulation and Transcriptomic Response Predicts Mycophenolic Acid Sensitivity in Healthy Volunteers

2020 ◽  
Vol 13 (6) ◽  
pp. 1137-1149
Author(s):  
Kimberly S. Collins ◽  
Ying‐Hua Cheng ◽  
Ricardo M. Ferreira ◽  
Hongyu Gao ◽  
Matthew D. Dollins ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Mycophenolic Acid ◽  
Interindividual Variability ◽  
Lymphocyte Stimulation ◽  
Transcriptomic Response ◽  
Acid Sensitivity

Interindividual variability of coumarin 7-hydroxylation in healthy volunteers

1992 ◽  
Vol 2 (5) ◽  
pp. 227-233 ◽  
Author(s):  
Arja Rautio ◽  
Holger Kraul ◽  
Anneli Kojo ◽  
Erja Salmela ◽  
Olavi Pelkonen
Keyword(s):  
Healthy Volunteers ◽  
Interindividual Variability ◽  
Coumarin 7

The Impact of UGT1A8, UGT1A9, and UGT2B7 Genetic Polymorphisms on the Pharmacokinetic Profile of Mycophenolic Acid After a Single Oral Dose in Healthy Volunteers

2007 ◽  
Vol 81 (3) ◽  
pp. 392-400 ◽  
Author(s):  
E Lévesque ◽  
R Delage ◽  
M-O Benoit-Biancamano ◽  
P Caron ◽  
O Bernard ◽  
...  
Keyword(s):  
Oral Dose ◽  
Healthy Volunteers ◽  
Single Oral Dose ◽  
Genetic Polymorphisms ◽  
Mycophenolic Acid ◽  
Pharmacokinetic Profile ◽  
The Impact

Pharmacogenetics in Central American healthy volunteers: interethnic variability

2015 ◽  
Vol 30 (1) ◽  
Author(s):  
Carolina Céspedes-Garro ◽  
María-Eugenia G. Naranjo ◽  
Ronald Ramírez ◽  
Víctor Serrano ◽  
Humberto Fariñas ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Drug Response ◽  
Interindividual Variability ◽  
Central American ◽  
Metabolic Phenotype ◽  
Research Articles ◽  
Original Research ◽  
Metabolic Phenotypes ◽  
Major Factors

AbstractEthnicity is one of the major factors involved in interindividual variability to drug response. This study aims to describe the frequency of the most relevant pharmacogenetic biomarkers and metabolic phenotypes in Central American healthy volunteers and to determine its interethnic variability. Twenty-six original research articles on allelic, genotypes or metabolic phenotype frequencies were analyzed, in which a total number of 7611 Central American healthy volunteers were included (6118 were analyzed for genotype and 1799 for metabolic phenotype). No reports were available for population from Belize and Honduras. The

scholarly journals Rivaroxaban pharmacodynamics in healthy volunteers evaluated with thrombin generation and the active protein C system: Modeling and assessing interindividual variability

2019 ◽  
Vol 17 (10) ◽  
pp. 1670-1682 ◽  
Author(s):  
Virginie Siguret ◽  
Johan Abdoul ◽  
Xavier Delavenne ◽  
Emmanuel Curis ◽  
Audrey Carlo ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Protein C ◽  
Thrombin Generation ◽  
Interindividual Variability ◽  
System Modeling ◽  
Active Protein

Interindividual variability of lithium-induced EEG changes in healthy volunteers

1987 ◽  
Vol 20 (2) ◽  
pp. 117-127 ◽  
Author(s):  
Gerald Ulrich ◽  
Konrad Frick ◽  
Rolf-Dieter Stieglitz ◽  
Bruno Müller-Oerlinghausen
Keyword(s):  
Healthy Volunteers ◽  
Interindividual Variability ◽  
Eeg Changes

scholarly journals P108 Pharmacokinetics of mycophenolic acid for systemic lupus erythematosus in children

2019 ◽  
Vol 104 (6) ◽  
pp. e63.1-e63
Author(s):  
D Zhang ◽  
V Elie ◽  
S Magreault ◽  
I Melki ◽  
V Baudouin ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Plasma Concentration ◽  
Lupus Nephritis ◽  
Mycophenolic Acid ◽  
Lupus Erythematosus ◽  
Interindividual Variability ◽  
Plasma Concentrations ◽  
Systemic Lupus ◽  
Time Curve ◽  
Concentration Time

BackgroundMycophenolate mofetil (MMF) is increasingly used in children with systemic lupus erythematosus (SLE). Monitoring of its active metabolite, mycophenolic acid (MPA), is performed for individual dosage adjustment of MMF and is based on determination of area under the plasma concentration-time curve (AUC12h) of MPA. The objective of this monocentric study is to describe the pharmacokinetics (PK) of MPA in paediatric patients with SLE or lupus nephritis.MethodsPatients with lupus treated by MMF between January 2009 and July 2018 were included. MPA plasma concentrations (T0, T0.5h, T1h, T2h, T3h, T8h and T12h) were determined by EMIT (enzyme-multiplied immunotechnique) and MPA AUC12h calculated according to trapezoid rule.ResultsTwenty-two patients were diagnosed with lupus at 11.5 ± 2.9 years. Clinical presentation was SLE (n=18) or isolated lupus nephritis (n=4). Treatments prior to MMF were steroids and/or immunosuppressants (endoxan, rituximab). Age at initiation of MMF (Cellcept®n=20, Myfortic®n=2) was 12.9 ± 2.6 years.PK of MPA was performed after 8.2 ± 14.8 months of treatment, under MMF dose of 840 ± 218 mg (577 ± 98 mg/m2). A large interindividual variability in MPA concentration-time profiles was observed with the following mean parameters: Cmax=4.60 ± 11.70 µg/mL, tmax=80 ± 77 min, trough plasma concentration (C0) = 2.30 ± 1.60 µg/mL and AUC0-12h=46.29 ± 17.39 µg*h/mL.ConclusionData on the PK of MPA in lupus children are limited. Our results show the high interindividual variability in MPA exposure after oral administration of MMF. Monitoring of exposure based on AUC in combination with immunological disease parameters will allow to individualise treatment to optimiseDisclosure(s)Nothing to disclose

scholarly journals Comparative pharmacokinetics of the three echinocandins in ICU patients

2020 ◽  
Vol 75 (10) ◽  
pp. 2969-2976
Author(s):  
Efstratios Mainas ◽  
Olympia Apostolopoulou ◽  
Maria Siopi ◽  
Styliani Apostolidi ◽  
Efthymios Neroutsos ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Candida Parapsilosis ◽  
Interindividual Variability ◽  
Compartmental Analysis ◽  
Volume Of Distribution ◽  
Target Attainment ◽  
Serum Samples ◽  
Icu Patients ◽  
Tertiary Hospitals ◽  
A Prospective Study

Abstract Background We conducted a prospective study in ICU patients of two tertiary hospitals in order to determine basic pharmacokinetic (PK) parameters, associated variation and target attainment rates for anidulafungin, micafungin and caspofungin. Methods Serum samples from patients treated for 7 days with the standard doses of anidulafungin (N = 13), micafungin (N = 14) or caspofungin (N = 7) were analysed by validated chromatographic methods. PK parameters determined with non-compartmental analysis were correlated with demographic, laboratory and disease severity characteristics. The percentages of patients attaining drug exposures described in the summary of product characteristics (SmPC) documents and preclinical PK/PD targets for stasis were estimated. Results The median (range) AUC24 was 101.46 (54.95–274.15) mg·h/L for anidulafungin, 79.35 (28.00–149.30) mg·h/L for micafungin and 48.46 (19.44–103.69) mg·h/L for caspofungin. The interindividual variability of anidulafungin, micafungin and caspofungin AUC24 was 46%–58%, attributed mainly to variability in volume of distribution (V), clearance (CL) and in both V and CL, respectively. Significant correlations were found between anidulafungin AUC24 and BMI (rs = −0.670, P = 0.012) and liver enzymes (rs = 0.572–0.665, P = 0.013–0.041) and between caspofungin Cmin and transaminase levels (rs = −0.775 to −0.786, P = 0.036–0.041). Less than 50% of our patients attained the corresponding SmPC median AUC24s and none of the patients attained the PK/PD targets for Candida albicans and Candida parapsilosis. Conclusions Anidulafungin exposure in ICU patients was comparable with that reported in non-ICU patients and in healthy volunteers. Micafungin exposure was comparable to that of other patients but ∼30% lower than that in healthy volunteers, whereas caspofungin exposure was rather low (∼50% lower than in healthy volunteers). Larger interindividual variability (50%–60%) was recorded in ICU patients compared with other groups for all three echinocandins.

Helicobacter pylori infection potentiates the inhibition of gastric acid secretion by omeprazole differently in duodenal ulcer patients and healthy volunteers

2001 ◽  
Vol 120 (5) ◽  
pp. A648-A648
Author(s):  
A THOMSON ◽  
R LASTIWKA ◽  
M KEELAN ◽  
S APPELMAN ◽  
L ZUK ◽  
...  
Keyword(s):  
Duodenal Ulcer ◽  
Helicobacter Pylori ◽  
Acid Secretion ◽  
Healthy Volunteers ◽  
Gastric Acid Secretion ◽  
Gastric Acid ◽  
Helicobacter Pylori Infection
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