| Literature DB >> 25265472 |
Xiao Hu1, Yue Cui, Joleen White, Ying Zhu, Aaron Deykin, Ivan Nestorov, Serena Hung.
Abstract
AIMS: To evaluate the pharmacokinetics (PK) and pharmacodynamics (PD) of subcutaneous peginterferon beta-1a in patients with relapsing-remitting multiple sclerosis (RRMS) in the phase 3 ADVANCE study (n = 1512).Entities:
Keywords: interferon beta-1a; multiple sclerosis; pegylation
Mesh:
Substances:
Year: 2015 PMID: 25265472 PMCID: PMC4345961 DOI: 10.1111/bcp.12521
Source DB: PubMed Journal: Br J Clin Pharmacol ISSN: 0306-5251 Impact factor: 4.335
Figure 1Peginterferon beta-1a concentration-time profiles (A and B) and neopterin concentration−time profiles (C and D) from intensive subjects. Circles represent geometric mean concentration at week 4; squares represent geometric mean concentration at week 24; error bars indicate 95% confidence interval; dotted lines represent lower limit of quantitation, 31.3 pg ml−1 and 1.29 ng ml−1 for peginterferon beta-1a and neopterin, respectively
Summary of PK and PD parameters (median; mean [percent coefficient of variation]) from intensive subjects
| Peginterferon beta-1a every 2 weeks | Peginterferon beta-1a every 4 weeks | |||
|---|---|---|---|---|
| Week 4 | Week 24 | Week 4 | Week 24 | |
| | 30.8; 34.5 (68) | 29.28; 34.85 (50) | 34.8; 34.9 (41) | 28.1; 32.9 (60) |
| | 25.8; 28.3 (82) | 24.5; 30.0 (59) | 32.0; 30.7 (49) | 23.5; 29.5 (61) |
| | 4.06; 7.89 (168) | 4.27; 4.13 (32) | 3.60; 5.48 (109) | 4.46; 5.93 (74) |
| | 236; 321 (85) | 221; 280 (89) | 264; 309 (76) | 202; 305 (74) |
| | 56.7; 76.4 (93) | 62.8; 77.3 (57) | 46.2; 77.2 (83) | 56.8; 67.7 (45) |
| | 28.5; 26.7 (39) | 35.9; 37.4 (37) | 34.6; 33.9 (45) | 35.1; 43.4 (50) |
| | 336; 596 (99) | 403; 479 (66) | 248; 817 (177) | 366; 726 (112) |
| | 10.8; 11.3 (44) | 6.53; 11.45 (141) | 8.99; 9.99 (70) | 8.25; 11.6 (72) |
| | 1847; 1698 (50) | 956; 1717 (147) | 1749; 1865 (59) | 1397; 1766 (71) |
| | 70.3; 59.7 (60) | 72.0; 76.6 (35) | 72.2; 100.3 (74) | 72.0; 79.8 (35) |
AUC(0,τ) = AUC over the dosing period; AUC(0,168 h) = AUC from time 0–168 h post-dose; Cmax = peak serum concentration; CL/F = apparent peginterferon beta-1a clearance; EAUC(0,336 h) = area under the concentration curve after baseline correction through 336 h post-dose; Epeak = peak concentration after correcting for baseline; Emax = time to reach maximum effect; t1/2 = terminal half-life; tmax = time to reach peak serum concentration; Vd/F = apparent volume of distribution.
Figure 2Correlation between peginterferon beta-1a AUC(0,τ) and demographic characteristics and creatinine clearance. AUC(0,τ) (mean of weeks 4 and 24) are shown for intensive subjects. Linear regression lines are shown with r2 values. BMI = body mass index; BSA = body surface area; CLcr = creatinine clearance estimated based on Cockcroft–Gault equation; WT = weight
Figure 3Peginterferon beta-1a concentration−time profiles stratified by antibody status in patients with sparse sampling only. Data from every 2 weeks and every 4 weeks groups at weeks 4, 12, 24, 48, 56 and 84 were pooled. Open circles represent observed data; solid lines represent median values in specified time windows; dashed lines indicate lower limit of quantitation (LLOQ; 31.3 pg ml−1). Concentrations below LLOQ are shown as LLOQ
Figure 4Pre-dose neopterin concentration in week 0, week 4 and week 24 for intensive subjects. Circles represent geometric mean concentration for the every 2 weeks group; squares represent geometric mean concentration for the every 4 weeks group; error bars indicate 95% confidence interval
Figure 5Neopterin concentration−time profiles stratified by antibody status in patients with sparse sampling only. Data from every 2 weeks and every 4 weeks groups at weeks 4, 12, 24, 48, 56 and 84 were pooled. Open circles represent observed data; solid lines represent median values in specified time windows; dashed lines indicate lower limit of quantitation (LLOQ; 1.29 pg ml−1). Concentrations below LLOQ are shown as LLOQ