scholarly journals 348: Pseudomonas aeruginosa infection modulates primary granule exocytosis

2021 ◽  
Vol 20 ◽  
pp. S166-S167
Author(s):  
D. Laucirica ◽  
C. Schofield ◽  
S. McLean ◽  
C. Margaroli ◽  
P. Agudelo-Romero ◽  
...  
Pneumologie ◽  
2016 ◽  
Vol 70 (07) ◽  
Author(s):  
A Schütte ◽  
Z Zhou-Suckow ◽  
J Schatterny ◽  
S Schmidt ◽  
S Hassel ◽  
...  

2010 ◽  
Vol 9 ◽  
pp. S29 ◽  
Author(s):  
L. Zavataro ◽  
G. Taccetti ◽  
L. Cariani ◽  
N. Ravenni ◽  
G. Braccini ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Rachel Wheatley ◽  
Julio Diaz Caballero ◽  
Natalia Kapel ◽  
Fien H. R. de Winter ◽  
Pramod Jangir ◽  
...  

AbstractIt is well established that antibiotic treatment selects for resistance, but the dynamics of this process during infections are poorly understood. Here we map the responses of Pseudomonas aeruginosa to treatment in high definition during a lung infection of a single ICU patient. Host immunity and antibiotic therapy with meropenem suppressed P. aeruginosa, but a second wave of infection emerged due to the growth of oprD and wbpM meropenem resistant mutants that evolved in situ. Selection then led to a loss of resistance by decreasing the prevalence of low fitness oprD mutants, increasing the frequency of high fitness mutants lacking the MexAB-OprM efflux pump, and decreasing the copy number of a multidrug resistance plasmid. Ultimately, host immunity suppressed wbpM mutants with high meropenem resistance and fitness. Our study highlights how natural selection and host immunity interact to drive both the rapid rise, and fall, of resistance during infection.


Antibiotics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 612
Author(s):  
Annabel Werumeus Buning ◽  
Caspar J. Hodiamont ◽  
Natalia M. Lechner ◽  
Margriet Schokkin ◽  
Paul W. G. Elbers ◽  
...  

Altered pharmacokinetics (PK) of hydrophilic antibiotics in critically ill patients is common, with possible consequences for efficacy and resistance. We aimed to describe ceftazidime population PK in critically ill patients with a proven or suspected Pseudomonas aeruginosa infection and to establish optimal dosing. Blood samples were collected for ceftazidime concentration measurement. A population PK model was constructed, and probability of target attainment (PTA) was assessed for targets 100% T > MIC and 100% T > 4 × MIC in the first 24 h. Ninety-six patients yielded 368 ceftazidime concentrations. In a one-compartment model, variability in ceftazidime clearance (CL) showed association with CVVH. For patients not receiving CVVH, variability in ceftazidime CL was 103.4% and showed positive associations with creatinine clearance and with the comorbidities hematologic malignancy, trauma or head injury, explaining 65.2% of variability. For patients treated for at least 24 h and assuming a worst-case MIC of 8 mg/L, PTA was 77% for 100% T > MIC and 14% for 100% T > 4 × MIC. Patients receiving loading doses before continuous infusion demonstrated higher PTA than patients who did not (100% T > MIC: 95% (n = 65) vs. 13% (n = 15); p < 0.001 and 100% T > 4 × MIC: 20% vs. 0%; p = 0.058). The considerable IIV in ceftazidime PK in ICU patients could largely be explained by renal function, CVVH use and several comorbidities. Critically ill patients are at risk for underexposure to ceftazidime when empirically aiming for the breakpoint MIC for P. aeruginosa. A loading dose is recommended.


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