bioRxiv Science⌕ Search

Biology subjects

Scheetz, M. H.

Publications and source records attributed to Scheetz, M. H..

11 recordsLinked to original sources

Protamine Protects Against Vancomycin Induced Kidney Injury

IntroductionVancomycin causes kidney injury by accumulating in the proximal tubule, likely mediated by megalin uptake. Protamine is a putative megalin inhibitor that shares binding sites with heparin and is approved for heparin overdose in patients. MethodsWe employed a well characterized Sprague Dawley rat model to assess kidney injury and function in animals that received vancomycin, protamine alone, or vancomycin plus protamine over 5 days. Urinary KIM-1 was used as the primary measure for kidney injury while iohexol clearance was calculated to assess kidney function. Animals had samples drawn pre-treatment to serve as their own controls. Additionally, since protamine is not a known nephrotoxin, the protamine group also served as a control. Cellular inhibition studies were performed to assess the ability of protamine to inhibit OAT1, OAT3, and OCT2. ResultsRats that received vancomycin had significantly increased urinary KIM-1 on day 2 (24.9 ng/24h, 95% CI 1.87 to 48.0) compared to the protamine alone group. By day 4, animals that received protamine with vancomycin had urinary KIM-1 amounts that were elevated compared to protamine alone (KIM-1 29.0 ng/24h, 95% CI 5.0 to 53.0). No statistically significant differences were identified for iohexol clearance changes between drug groups or when comparing clearance change from baseline (P>0.05). No substantial inhibition of OAT1, OAT3, or OCT2 was observed with protamine. IC50 values for protamine were 1e-4 M for OAT1 and OAT3 and 4.3e-5 M for OCT2. ConclusionProtamine, when added to vancomycin therapy, delays vancomycin induced kidney injury as defined by urinary KIM-1 in the rat model by one to three days. Protamine putatively acts through blockade of megalin and does not appear to have significant inhibition on OAT1, OAT3, or OCT2. Since protamine is an approved FDA medication, it has clinical potential as a therapeutic to reduce vancomycin related kidney injury; however, greater utility may be found by pursuing compounds with fewer adverse event liabilities.

pharmacology and toxicology↗

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↗

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↗

Use of Therapeutic Drug Monitoring to Characterize Cefepime-Induced Neurotoxicity

BackgroundThe incidence of cefepime-induced neurotoxicity (CIN) in hospitalized patients is highly variable. Although greater cefepime exposures incite neurotoxicity, data evaluating trough thresholds associated with CIN remains limited. The objectives of this study were to evaluate the incidence of CIN, assess the relationship between cefepime trough concentrations and CIN, investigate clinical factors associated with CIN, and describe electroencephalogram (EEG) abnormalities in CIN. MethodsThis was a retrospective study of adult patients who had received [&ge;] 5 days of cefepime with [&ge;] 1 trough concentration > 25 mg/L. Potential CIN cases were identified utilizing neurological symptoms, neurologist assessments, EEG findings and improvement of neurotoxicity after cefepime discontinuation. ResultsOne-hundred and forty-two patients were included. The incidence of CIN was 13% (18/142). The mean cefepime trough concentration in CIN patients was significantly greater than the non-neurotoxicity group (74.2 mg/L {+/-} 41.1 vs. 46.6 mg/L {+/-} 23, p=0.015). Lower renal function (creatinine clearance < 30 ml/min), greater time to therapeutic drug monitoring (TDM) ([&ge;]72 hours), and each 1 mg/mL rise in cefepime trough were independently associated with increased risk of CIN. Moderate generalized slowing of the background rhythm was the most common EEG pattern associated with CIN. ConclusionCefepime should be used cautiously in hospitalized patients due to the risk of neurotoxicity. Patients with greater renal function and those who had early cefepime TDM ([&le;] 72 hours) had lower risk of CIN.

pharmacology and toxicology↗

Evaluation of Dose Fractionated Polymyxin B on Acute Kidney Injury: A Translational In Vitro Model

The polymyxins are last-line defense for highly resistant infections. Nephrotoxicity, however, is a dose-limiting factor. Yet, approaches to mitigate nephrotoxicity are poorly defined. This study aimed to investigate the impact of dose fractionated (once, twice and thrice daily) polymyxin B (PB) on acute kidney injury (AKI) in a pre-clinical model. Secondarily, we aimed to describe the pharmacokinetic (PK) profile of PB. Sprague-Dawley rats were assigned to experimental groups with different dosing intervals but constant total daily exposure (12 mg/kg/day into single, twice daily, and thrice daily doses) and controls received normal saline subcutaneously over 3 days. Blood and urine samples were collected, and kidneys were harvested at necropsy. A three-compartment model best described the data and Bayesian observed vs. predicted concentration demonstrated bias, imprecision, and R2 of 0.129 mg/L, 0.729 mg2/L2 and 0.652, respectively. PB exposure (i.e. AUC24h) were similar across treatment groups over time (p=0.87). As a representative, urinary KIM-1 were elevated on days 1 and 2 for experimental groups compared to controls, and thrice daily group experienced the most KIM-1 increase [mean increase (95% CI) day 1 from day -1, 4.44 (0.89, 8.00) ng/mL; p=0.018] as compared to control [mean increase (95% CI) day 1 from day -1, 0.03 (-0.42, 0.49) ng/mL; p=0.99]. Correspondingly, significant histopathological damage was observed with the same group (p=0.013) (controls as a referent). Our findings suggested that fractionating the PB dose thrice daily resulted in the most injury in a rat model.

pharmacology and toxicology↗

Urinary biomarker and histopathological evaluation of vancomycin and piperacillin-tazobactam nephrotoxicity in comparison with vancomycin in a rat model and a confirmatory cellular model

IntroductionVancomycin and piperacillin tazobactam (VAN+TZP) are two of the most commonly utilized antibiotics in the hospital setting and are reported in clinical studies to increase acute kidney injury (AKI). However, no clinical study has demonstrated that synergistic toxicity occurs, only that serum creatinine (SCr) increases with VAN+TZP. The purpose of this study was to assess biologic plausibility by quantifying kidney injury between VAN, TZP, and VAN+TZP treatments using a translational rat model of AKI and rat kidney epithelial cell studies.\n\nMethods(i) Male Sprague-Dawley rats (n=32) received either saline, VAN 150 mg/kg/day intravenously, TZP 1400 mg/kg/day via intraperitoneal injection, or VAN+TZP. Animals were placed in metabolic cages pre-study and on drug dosing days 1-3. Urinary biomarkers and histopathology were analyzed. (ii) Cellular injury of VAN+TZP was assessed in serum-deprived rat kidney cells (NRK-52E) using an alamarBlue(R) viability assay. Cells were incubated with antibiotics VAN, TZP, cefepime, and gentamicin alone or combined with the same drugs plus VAN 1 mg/mL.\n\nResultsIn the VAN-treated rats, urinary KIM-1 and clusterin were increased on days 1, 2, and 3 compared to controls (P<0.001). Elevations were seen only after 3 days of treatment with VAN+TZP (P<0.001 KIM-1, P<0.05 clusterin). Histopathology was only elevated in the VAN group when compared to TZP as a control (P=0.04). Results were consistent across biomarkers and histopathology suggesting that adding TZP did not worsen VAN induced AKI and may even be protective. In NRK-52E cells, VAN alone caused moderate cell death with high doses (IC5048.76 mg/mL). TZP alone did not cause cellular death under the same conditions. VAN+TZP was not different from VAN alone in NRK-52E cells (P>0.2).\n\nConclusionsVAN+TZP does not cause more kidney injury than VAN alone in a rat model of VIKI or in rat kidney epithelial cells.

pharmacology and toxicology↗