Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Concentration-dependent Plasma Binding of Colistin: Impacts of Infection, Neutropenia & Multiple Proteins RAJESH V. DUDHANI, JIAN LI, ROGER L. NATION Facility for Anti-infective Drug Development & Innovation Drug Delivery, Disposition and Dynamics Monash Institute of Pharmaceutical Sciences ISAP Post-ICAAC Symposium, 15 September, 2009 San Francisco www.pharm.monash.edu.au/mips FADDI Outline • Background • Methods • Results and Discussion • Conclusions Outline • Background • Methods • Results and Discussion • Conclusions The threat from the PINK corner Gram-negative ‘superbugs’: Acinetobacter baumannii Klebsiella pneumoniae Pseudomonas aeruginosa • Virtually NO antibiotics active against G-negatives in next 9 - 11 years • Currently, colistin often the only active antibiotic IDSA 2004, 2006, 2009 Livermore Ann Med 2003 Payne et al. Nat Rev Drug Discov 2007 Colistin • Colistin (polymyxin E) • Antibacterial activity Narrow spectrum: G-neg bacteria (P. aeruginosa, A. baumannii and K. pneumoniae) Rapid bactericidal effect: Concentration-dependent Very modest PAE against P. aeruginosa • Currently resistance is low, but emerging Li et al. Lancet Infect Dis 2006 Colistin NH2 () L-Dab Fatty acid ()L-Dab L-Thr () L-Dab NH2 NH2 D-Leu L-Leu ( ) L-Dab L-Thr ()L-Dab ()L-Dab NH2 NH2 Colistin A: 6-methyloctanoic acid Colistin B: 6-methylheptanoic acid Dab: , -Diaminobutyric acid • • • multi-component a weak organic base containing 5 primary amine groups polycation at physiological pH Li et al. Lancet ID 2006 Colistin PK/PD index against P. aeruginosa in an in vitro dynamic model P. aeruginosa ATCC 27853 and PAO1 1 R2 = 81% R2 = 93% 0 -1 -2 -3 -1 -4 -2 1 0.1 1.0 fC Cmax/MIC max/MIC -3 32.8 -4 1.0 10.0 26.3 fAUC/MIC Bergen et al. submitted 100.0 10.0 R2 = 70% 0 Killing Effect Killing Effect 1 Killing Effect 0 -1 -2 -3 -4 0 20 40 60 % T>MIC 80 100 Higher plasma binding of polymyxin B in critically-ill patients 0.5 - 1.5 mg/kg every 12 or 48 h Plasma concentration (mg/L) 100 Patient 1 Patient 2 Patient 3 Patient 4 Patient 5 Patient 6 Patient 7 Patient 8 10 1 MICs 0.1 0.01 0 120 240 360 480 600 720 Time (min) Protein binding 78.5 - 92.4% vs 56% in healthy human plasma Cao et al, JAC 2008 Zavascki et al, CID 2009 Plasma binding of drugs • Crucial to understanding of PK/PD relationship • Two plasma proteins commonly involved • Human serum albumin (HSA): binds weak organic acids & bases and neutral compounds • alpha-1-acid glycoprotein (AAG) o the acute-phase reactant protein o often important for the binding of weak organic basic drugs o plasma concentrations of AAG (~0.75 g/L) are normally much lower than those of HSA (~45 g/L) o concentrations of AAG are increased (~3-5 fold) in a number of stressful conditions, including infection Aims • To investigate the proteins involved in the plasma binding of colistin • To examine the potential impact of colistin concentration on its plasma binding Outline • Background • Methods • Results and Discussion • Conclusions Methods • Healthy human plasma (Australian Red Cross) • Mouse plasma o Six-week old, female Swiss albino mice (22 - 26 g) were rendered neutropenic by IP cyclophosphamide (150 mg/kg) 4 days and (100 mg/kg) 1 day prior to experimental infection o Neutropenic mice were anesthetized and 50 µL early log-phase P. aeruginosa ATCC 27853 (~107 CFU) was injected into each posterior thigh o At 6 h, animals were humanely sacrificed & plasma was obtained Methods • Purified protein solutions in isotonic phosphate buffer (pH 7.4) o HSA: 22.5 g/L & 45 g/L o AAG: 0.75 g/L & 3 g/L o AAG/HSA: 0.75 g/L / 45 g/L; 3 g/L / 45 g/L • Equilibrium dialysis o Spectra Por 2® dialysis membrane (MW cut off 12,000 - 14,000) o Colistin-spiked plasma or solutions of purified protein(s) were dialyzed at 37ºC for 21 h o Initial colistin conc: 3 mg/L (low) & 30 mg/L (high) o In neutropenic infected mouse plasma, initial colistin conc 2.5 – 75 mg/L Methods • Colistin concentrations in the protein and buffer solutions were determined using a validated HPLC assay • The unbound fraction (fu) of colistin was calculated from the ratio, at dialysis equilibrium, of concentration in buffer to that in the protein-containing solution Outline • Background • Methods • Results and Discussion • Conclusions Unbound fraction of colistin Plasma binding of colistin: proteins involved 0.8 0.7 Colistin: Low concentration Colistin: High concentration 0.6 0.5 • Concentration dependent • AAG and HSA 0.4 • Healthy human plasma vs physiological concentrations of HSA/AAG 0.3 0.2 0.1 0.0 Low colistin concentrations: 0.81 - 1.71 mg/L High colistin concentrations: 5.69 - 11.1 mg/L Plasma binding of colistin in mice Unbound fraction (fu) 0.8 Colistin: Low concentration Colistin: High concentration 0.7 0.6 0.5 0.4 • fu in healthy mouse plasma is similar to that in healthy human plasma 0.3 0.2 0.1 0.0 Mouse plasma Neutropenic Neutropenic mouse infected mouse plasma plasma Low concentrations: High concentrations: 1.42 - 1.80 mg/L 12.9 - 14.9 mg/L • fu in neutropenic and neutropenic infected mouse plasma are lower Conc-dependent plasma binding of colistin in mice Neutropenic infected mouse plasma Unbound fraction (fu) 0.8 • Colistin concentration range (~0.9 – 30 mg/L) 0.6 0.4 • fu increased ~4-5 fold as plasma concentration increased 0.2 0.0 1 10 Colistin (mg/L) Dudhani et al. A1-576 Outline • Background • Methods • Results and Discussion • Conclusions Conclusions • Both HSA and AAG are important in the binding of colistin in plasma • AAG conc increases in infections binding of colistin increased plasma • Colistin binding was dependent upon its concentration • Similar fAUC/MIC values from in vitro PK/PD model and mouse thigh infection model • Assist in defining optimal dosage regimens for colistin • Further investigation on colistin binding affinity, capacity to plasma proteins and bacterial cells is warranted Acknowledgements • FADDI team • NIH/NIAID R01AI079330 and R01AI070896 • Australian National Health & Medical Research Council