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Pais, G.

Publications and source records attributed to Pais, G..

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Iohexol-measured glomerular filtration rate and urinary biomarker changes between vancomycin and vancomycin plus piperacillin-tazobactam in a translational rat model

Recent clinical studies have reported additive nephrotoxicity with the combination of vancomycin and piperacillin-tazobactam. However, preclinical models have failed to replicate this finding. This study assessed differences in iohexol-measured glomerular filtration rate (GFR) and urinary injury biomarkers among rats receiving this antibiotic combination. Male Sprague-Dawley rats received either intravenous vancomycin, intraperitoneal piperacillin-tazobactam, or both for 96 hours. Iohexol-measured GFR was used to quantify real-time kidney function changes. Kidney injury was evaluated via the urinary biomarkers: kidney injury molecule-1 (KIM-1), clusterin, and osteopontin. Compared to the control, rats that received vancomycin had numerically lower GFR after drug dosing on day 3. Rats in this group also had elevations in urinary KIM-1 on experimental days 2 and 4. Increasing urinary KIM-1 was found to correlate with decreasing GFR on experimental days 1 and 3. Rats that received vancomycin+piperacillin-tazobactam did not exhibit worse kidney function or injury biomarkers compared to vancomycin alone. The combination of vancomycin+piperacillin-tazobactam does not cause additive nephrotoxicity in a translational rat model. Future clinical studies investigating this antibiotic combination should employ more sensitive biomarkers of kidney function and injury, similar to those utilized in this study.

pharmacology and toxicology↗

Impact of vancomycin loading doses and dose escalation on glomerular function and kidney injury biomarkers in a translational rat model

Vancomycin induced kidney injury is common, and outcomes in humans are well predicted by animal models. This study employed our translational rat model to investigate temporal changes in glomerular filtration rate (GFR) and correlation with kidney injury biomarkers related to various vancomycin dosing strategies. First, Sprague Dawley rats received allometrically scaled loading doses or standard doses. Rats that received a loading dose had lower GFR and increased urinary injury biomarkers (kidney injury molecule 1 [KIM-1] and clusterin) that persisted through day 2, compared to those that did not receive a loading dose. Second, we compared low and high allometrically scaled vancomycin doses to a positive acute kidney injury control of high dose folic acid. Rats in both the low and high vancomycin dose groups had higher GFRs on all dosing days versus the positive control group. When the two vancomycin groups were compared, rats that received the low dose had significantly higher GFR on days 1, 2, and 4. Compared to low dose vancomycin, KIM-1 was elevated in high dose rats on dosing day 3. GFR correlated most closely with the urinary injury biomarker KIM-1, on all experimental days. Vancomycin loading doses were associated with significant loss of kidney function and elevation of urinary injury biomarkers. In our translational rat model, both the degree of kidney function decline and urinary biomarker rise corresponded to the magnitude of vancomycin dose (i.e. higher dose resulted in more kidney function decline and greater degree of urinary injury biomarker increase).

pharmacology and toxicology↗

Hippocampal Concentrations Drive Seizures in a Rat Model for Cefepime-induced Neurotoxicity

BackgroundIn high dose, cefepime causes neurotoxicity in patients with kidney injury; however, the relationship between exposure and observed neurotoxicity is not clear, and no animal model presently recapitulates the human condition. ObjectivesThis study sought to describe plasma and tissue pharmacokinetics and pharmacodynamics (PK/PD) of cefepime in rats experiencing neurotoxicity. MethodsMale Sprague-Dawley rats (n=21) received escalating cefepime total daily doses ranging from 531-1593 mg/kg body weight/day administered as a short infusion (0.5 mL/min) every 24h for 5 days. Cefepime was quantified in plasma, cerebral cortex and hippocampus via liquid chromatography-tandem mass spectrometry (LC-MS/MS). Multiple PK/PD models of cefepime transit between plasma and brain compartments (i.e. cerebral cortex and hippocampus) and neurotoxic response were explored using Monolix 2021R1 (LixoftPK). ResultsExposure estimation of cerebral cortex demonstrated a median (IQR) AUC0 -24 and Cmax 0 -24 of 181.8 (85.2-661.3) mg {middle dot} 24 h/liter and 13.9 (1.0-30.1) mg/L, respectively. The median cerebral cortex/blood percentage of penetration was 1.7%. Exposure estimation of hippocampus demonstrated a median (IQR) AUC0 -24 and Cmax 0 -24 of 291.4 (126.6-1091.6) mg {middle dot} 24 h/liter and 8.8 (3.4-33.4) mg/L, respectively. The median hippocampus/blood percentage of penetration was 4.5%. Rats that reached a cefepime Cmax of {square}17 mg/L in the hippocampus exhibited signs of neurotoxicity. A hippocampal cefepime concentration of 4.1 {micro}g/100 mg brain tissue best described seizure stages >1 for cefepime-induced neurotoxicty. ConclusionsA cefepime plasma AUC0 -24 of 28,000 mg*24h/L and hippocampal concentrations of 4.1 {micro}g/100 mg brain tissue may be a threshold for cefepime-induced neurotoxicity. This model provides a methodology for future interrogation of the relationship between plasma concentrations, brain tissue concentrations, and neurotoxicity.

pharmacology and toxicology↗

Glomerular function and urinary biomarker changes between vancomycin and vancomycin plus piperacillin-tazobactam in a translational rat model.

Clinical studies have reported additive nephrotoxicity associated with the combination of vancomycin (VAN) and piperacillin-tazobactam (TZP). This study assessed differences in glomerular filtration rate (GFR) and urinary biomarkers between rats receiving VAN and those receiving VAN+TZP. Male Sprague-Dawley rats (n=26) were randomized to receive 96 hours of intravenous VAN at 150mg/kg/day, intraperitoneal TZP at 1400 mg/kg/day, or VAN+TZP. Kidney function was evaluated using fluorescein-isothiocyanate sinistrin and a transdermal sensor to estimate real-time glomerular filtration rate (GFR). Kidney injury was evaluated via urinary biomarkers including kidney injury molecule-1 (KIM-1), clusterin, and osteopontin. Compared to a saline control, only rats in the VAN group showed significant declines in GFR by day 4 (-0.39 mL/min/100 g body weight, 95% CI: -0.68 to -0.10, p=0.008). When the VAN+TZP and VAN alone treatment groups were compared, significantly higher urinary KIM-1 was observed in the VAN alone group on day 1 (18.4 ng, 95% CI: 1.4 to 35.3, p=0.03), day 2 (27.4 ng, 95% CI: 10.4 to 44.3, p=0.002), day 3 (18.8 ng, 95% CI: 1.9 to 35.8, p=0.03), and day 4 (23.2 ng, 95% CI: 6.3 to 40.2, p=0.007). KIM-1 was the urinary biomarker that most correlated with decreasing GFR on day 3 (Spearmans rho: -0.45, p = 0.022) and day 4 (Spearmans rho: - 0.41, p = 0.036). Kidney function decline and increased KIM-1 were observed among rats that received VAN only, but not TZP or VAN+TZP. Addition of TZP to VAN does not worsen kidney function or injury in a validated translational rat model.

pharmacology and toxicology↗

Urinary Metabolomics from a Dose-Fractionated Polymyxin B Rat Model of Acute Kidney Injury

BackgroundPolymyxin B remains an important antimicrobial against multi-drug resistant bacteria; however, kidney injury is often a treatment limiting event with kidney failure rates that range from 5-13%. MethodsSamples were obtained from a previously conducted study of male Sprague-Dawley rats that received dose fractionated polymyxin B (12 mg/kg/day subcutaneously) once daily (QD), twice daily (BID), and thrice daily (TID) for three days. In the original study, urinary biomarkers and kidney histopathology scores were determined. Urine was sampled daily and analyzed for urinary metabolites via 1H NMR analysis. Unsupervised Principal Components Analysis was applied for exploratory data analysis to identify trends and outliers in the spectral data. Then, supervised Orthogonal Partial Least Square Discriminant Analysis was applied to classify the samples collected in different days and identify metabolic differences during the treatment. Metabolomes were compared across study groups (i.e. those receiving QD, BID, TID, and control) using a mixed-effects models. Spearman correlation was performed for injury biomarkers and the metabolome. ResultsA total of 27 rats contributed 77 urinary samples; n=25 rats were included that were treated with Polymyxin B and n=2 received saline. Pre-dosing samples clustered well and were characterized by higher amounts of citrate, 2-oxoglutarate, and Hippurate. On day 1 post treatment, day 1 samples showed higher taurine; day 3 samples had higher lactate, acetate and creatine. Taurine was the only metabolite significantly increased in both BID and TID compared to QD group. Taurine on day 1 correlated with increasing histopathology scores (Spearmans rho = 0.4167, P=0.038) and KIM-1 (Spearmans rho =0.4052, P=0.036); whereas KIM-1 on day one and day 3 did not reach significance with histopathology (Spearmans rho = 0.3248, P=0.11 and Spearmans rho = 0.3739, P=0.066). ConclusionPolymyxin B causes increased amounts of urinary taurine on day 1 which then normalizes to baseline concentrations. Taurine may provide one of the earlier signals of acute kidney damage caused by polymyxin B.

pharmacology and toxicology↗

Of Rats and Men, a Translational Model to Understand Vancomycin Pharmacokinetic/Toxicodynamic relationships

BackgroundVancomycin is a first line antibiotic for many common infectious diseases and is the most commonly prescribed antibiotic in the United States hospital setting. Vancomycin is also well known to cause kidney injury; two recent prospective studies have identified that increasing vancomycin area under the concentration curve predicts vancomycin induced kidney injury (VIKI). However, outside of clinical trials, it is unclear if pre-clinical data can quantitatively describe VIKI in patients. MethodsData were simultaneously analyzed from a pre-clinical rat model and two prospective clinical studies. Logged vancomycin area under the concentration curve (AUC) data for rats (n=48) and patients from PROVIDE (n=263) and CAMERA2 (n=291) were included. VIKI was defined as urinary KIM-1 concentrations [≥]9.42 ng/mL in the rat and according to KDIGO stage 1 kidney injury for all human patients. Multiple generalized linear models were explored, and the order of magnitude was calculated between the probability of acute kidney injury (AKI) from the average obtained in the clinical studies (i.e. CAMERA2 and PROVIDE) and the rat for 0.1 increments in Log10AUC bounded common concentrations obtained in the therapeutic range (i.e. ~200 -800 mg*24h/L). ResultsA logit link model best fit the data. When calculating the multiplicative factors between the studies therapeutic range AUCs, the rat was an average 2.7 to 4.2 times more sensitive to AKI between AUCs of 199.5 (i.e. log 10 AUC=2.3) and 794.3 mg*h/L (i.e. log 10 AUC=2.9), respectively. ConclusionsA pre-clinical rat model was quantitatively linked to toxicity data from two large human studies. The rat is an attractive pre-clinical model to explore exposure toxicity relationships with vancomycin. External validation is required.

pharmacology and toxicology↗

Suppression of endothelial miR-22-3p mediates non-small cell lung cancer cell-induced angiogenesis

MicroRNAs (miRNAs) expressed in endothelial cells (ECs) are powerful regulators of angiogenesis, which is essential for tumor growth and metastasis. Here, we demonstrated that miR-22-3p (miR-22) is preferentially and highly expressed in ECs, while its endothelial level is significantly down-regulated in human non-small cell lung cancer (NSCLC) tissues when compared to matched non-tumor lung tissues. This reduction of endothelial miR-22 is induced by NSCLC cell-secreted tumor necrosis factor (TNF)- and interleukin (IL)-1{beta}. Endothelial miR-22 functions as a potent angiogenesis inhibitor that inhibits all the key angiogenic activities of ECs and consequently NSCLC growth through directly targeting sirtuin (SIRT) 1 and fibroblast growth factor receptor (FGFR) 1 in ECs, leading to inactivation of AKT/mammalian target of rapamycin (mTOR) signaling. These novel findings provide insight into the molecular mechanisms of NSCLC angiogenesis and indicate that endothelial miR-22 represents a potential target for the future anti-angiogenic treatment of NSCLC.

cancer biology↗

The Pharmacodynamic-Toxicodynamic Relationship of AUC and CMAX in Vancomycin Induced Kidney Injury in an Animal Model

BackgroundVancomycin induces exposure-related acute kidney injury. However, the pharmacokinetic-toxicodynamic (PK-TD) relationship remains unclear. MethodsSprague-Dawley rats received IV vancomycin doses of 300mg/kg/day and 400mg/kg/day, divided once, twice, thrice or 4xdaily (i.e., QD, BID, TID or QID) over 24-hours. Up to 8-samples were drawn during the 24-hour dosing period. Twenty-four-hour urine was collected and assayed for kidney injury molecule-1 (KIM-1). Vancomycin was quantified via LC-MS/MS. Following terminal sampling, nephrectomy and histopathologic analyses were conducted. PK analyses were conducted using Pmetrics. PK exposures (i.e. AUC0-24h, CMAX0-24h,) were calculated for each rat, and PK-TD relationships were discerned. ResultsA total of 53-rats generated PK-TD data. A 2-compartment model fit the data well (Bayesian observed vs. predicted concentrations, R2=0.96). KIM-1 values were greater in QD and BID groups (P-values: QD vs TID:<0.002, QD vs QID:<0.004, BID vs TID:<0.002, and BID vs QID:<0.004). Exposure-response relationships were observed between KIM-1 vs CMAX0-24h and AUC0-24h (R2{square}={square} 0.7 and 0.68). Corrected Akaikes information criterion showed CMAX0-24h as most predictive PK-TD driver for vancomycin-induced kidney injury (VIKI) (-5.28 versus -1.95). ConclusionsWhile PK-TD indices are often inter-correlated, maximal concentrations and fewer doses (for the same total daily amount) resulted in increased VIKI in our rat model.

pharmacology and toxicology↗