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We recently reported using non-targeted metabolic profiling that serum indolepropionic acid (IPA), a microbial metabolite of tryptophan, was associated with a lower likelihood of developing type 2 diabetes (T2D). In the present study, we established a targeted quantitative method using liquid chromatography with mass spectrometric detection (HPLC-QQQ-MS/MS) and measured the serum concentrations of IPA in all the participants from the Finnish Diabetes Prevention Study (DPS), who had fasting serum samples available from the 1-year study follow-up (n = 209 lifestyle intervention and n = 206 control group). Higher IPA at 1-year study was inversely associated with the incidence of T2D (OR [CI]: 0.86 [0.73–0.99], P = 0.04) and tended to be directly associated with insulin secretion (β = 0.10, P = 0.06) during the mean 7-year follow-up. Moreover, IPA correlated positively with dietary fiber intake (g/day: r = 0.24, P = 1 × 10−6) and negatively with hsCRP concentrations at both sampling (r = − 0.22, P = 0.0001) and study follow-up (β = − 0.19, P = 0.001). Thus, we suggest that the putative effect of IPA on lowering T2D risk might be mediated by the interplay between dietary fiber intake and inflammation or by direct effect of IPA on β-cell function.

Blood metabolites of the tryptophan pathway were found to be associated with kidney function and disease in observational studies. In order to evaluate causal relationship and direction, we designed a study using a bidirectional Mendelian randomization approach. The analyses were based on published summary statistics with study sizes ranging from 1,960 to 133,413. After correction for multiple testing, results provided no evidence of an effect of metabolites of the tryptophan pathway on estimated glomerular filtration rate (eGFR). Conversely, lower eGFR was related to higher levels of four metabolites: C-glycosyltryptophan (effect estimate = − 0.16, 95% confidence interval [CI] (− 0.22; − 0.1); p  = 9.2e−08), kynurenine (effect estimate = − 0.18, 95% CI (− 0.25; − 0.11); p  = 1.1e−06), 3-indoxyl sulfate (effect estimate = − 0.25, 95% CI (− 0.4; − 0.11); p  = 6.3e−04) and indole-3-lactate (effect estimate = − 0.26, 95% CI (− 0.38; − 0.13); p  = 5.4e−05). Our study supports that lower eGFR causes higher blood metabolite levels of the tryptophan pathway including kynurenine, C-glycosyltryptophan, 3-indoxyl sulfate, and indole-3-lactate. These findings aid the notion that metabolites of the tryptophan pathway are a consequence rather than a cause of reduced eGFR. Further research is needed to specifically examine relationships with respect to chronic kidney disease (CKD) progression among patients with existing CKD.

Nemiralisib, a phosphoinositide 3-kinase δ inhibitor, is being investigated as an immunomodulatory agent with anti-inflammatory properties in chronic obstructive pulmonary disease. This study evaluated the pharmacokinetic (PK) properties and safety of a new formulation of nemiralisib that contains 0.4% magnesium stearate. In this randomized, double-blind, parallel-group study, healthy individuals received a single dose of 500 or 750 μg of nemiralisib administered via the Ellipta dry powder inhaler (DPI) (n = 6 in each treatment group). Aerodynamic particle size distribution (APSD) data comparing previous and new formulations were available before the study. Serial PK analyses for plasma exposure and safety assessments were performed during the first 24 h after dosing, with follow-up measurements on days 3 and 6 in clinic. APSD had increases of approximately 6-fold and 2-fold in very fine particle mass and fine particle mass over the previous (Diskus) formulation. In humans, systemic exposure (AUC) was greater after inhalation of 750 versus 500 μg of nemiralisib (AUC0–t: 17,200 h∙pg/mL; 95% CI, 10,900–27,200 h∙pg/mL and 13,100; 95% CI, 8130–21,000 h∙pg/mL, respectively). A low frequency of individual adverse events and no serious adverse events were reported after both doses. After single-dose inhalation of 500 and 750 μg of nemiralisib from the Ellipta DPI in healthy individuals, plasma PK data were well defined, and as predicted based on previous PK and APSD data, exposure was increased with the new formulation. Nemiralisib was well tolerated with no new safety issues identified. These data supported progression of nemiralisib to a Phase IIb study in patients with chronic obstructive pulmonary disease. ClinicalTrials.gov identifier: NCT03189589.

Background JNJ-53718678 is a potent small-molecule inhibitor of the F-glycoprotein-mediated complex membrane fusion process of the respiratory syncytial virus. Here, we report the pharmacokinetics, the population pharmacokinetic modeling, and the safety and tolerability of JNJ-53718678 from the first-in-human, double-blind, randomized, placebo-controlled phase I study. Methods Healthy subjects were randomized (6:3) into five single-dose groups (25–1000 mg) or three multiple-dose groups [250 mg every 24 h (q24h), 500 mg q24h, 250 mg every 12 h; fed conditions for 8 days] to receive JNJ-53718678 or placebo. Blood and urine samples were collected at several timepoints up to 72 h after intake of JNJ-53718678 and analyzed using validated liquid chromatography-mass spectrometry methods. A population pharmacokinetic model was developed and validated. Results Peak plasma concentrations of JNJ-53718678 increased with increasing single (159 ± 54.9 to 6702 ± 1733 ng/mL) and multiple (on day 8, 1528 ± 256 to 2655 ± 591 ng/mL) doses. Steady-state conditions were reached on day 2 of the 8-day dosing regimen. Less than 4% of JNJ-53718678 was excreted in urine across all dose groups. Mean exposure of JNJ-53718678 was 7% lower in the fed state compared with the fasted state at the same dose. A two-compartment model with first-order absorption with parallel linear and non-linear elimination best described the pharmacokinetics of JNJ-53718678. No covariate effects were observed. Conclusions A population pharmacokinetic model that describes the concentration data well with good precision of all parameter estimates was developed and validated. JNJ-53718678 was well tolerated at all single and multiple doses studied.

Purpose This study assessed the pharmacokinetics and safety of oral panobinostat and its metabolite BJB432 in patients with advanced solid tumors and normal to severely impaired renal function. Methods Patients with varying degrees of renal impairment, defined by their 24-h baseline urine creatinine clearance (as normal, mild, moderate or severe), received a single oral dose of 30 mg panobinostat. Serial plasma samples were collected pre-dose and up to 96-h post-dose. Serial urine samples were collected for 24-h post-dose. Following the serial PK sampling, patients received 30 mg oral panobinostat thrice weekly for as long as the patient had benefit. Pharmacokinetic parameters were derived using non-compartmental analysis. Results Thirty-seven patients were enrolled, and median age was 64 (range 40–81) years. Eleven patients had normal renal function; 10, 10, and 6 patients had mild, moderate, and severe renal impairment, respectively. Geometric means of AUC 0–∞ in the normal, mild, moderate, and severe groups were 224.5, 144.3, 223.1, and 131.7 ng h/mL, respectively. Geometric mean ratio of BJB432 to parent drug plasma AUC 0–∞ was 0.64 in the normal group and increased to 0.81, 1.13, and 1.20 in the mild, moderate, and severe groups, respectively. The fraction excreted as unchanged panobinostat was small (<2 %), with a large variability. The renal clearance of panobinostat and tolerability was similar across all four groups. Conclusion Systemic exposure to panobinostat did not increase with severity of renal impairment, and the drug was tolerated equally; thus, patients with renal impairment do not require starting dose adjustments.

Purpose Panobinostat, a potent pan-deacetylase inhibitor, improved progression-free survival (PFS) in patients with relapsed and refractory multiple myeloma when combined with bortezomib and dexamethasone in a phase 3 trial, PANORAMA-1. This study aims to explore exposure–response relationship for panobinostat in this combination in a phase 1 trial, B2207 and contrast with data from historical single-agent studies. Methods Panobinostat plasma concentration–time profiles were obtained in patients from PANORAMA-1 ( n  = 12) and B2207 ( n  = 12) trials. Overall response rates (ORR) and major adverse events (AE) by panobinostat exposure were investigated in the B2207 trial. Panobinostat PK data from combination trials were contrasted with data from single-agent studies. Results At maximum tolerated dose (MTD), the geometric mean of panobinostat area under curve from 0 to 24 h (AUC0-24) was 47.5 ng h/mL (77 % CV), and maximum plasma concentration (Cmax) was 8.1 ng/mL (90 % CV). These values were comparable with exposure data obtained in PANORAMA-1, but were 20 % lower than those without dexamethasone, and ∼50 % lower from single-agent trials, likely due to enzyme induction by dexamethasone. Higher levels of panobinostat exposure were associated with higher response rates and higher incidences of diarrhea and thrombocytopenia. Conclusions Apparent panobinostat exposure–AE and exposure–ORR relationships were observed when combined with bortezomib and dexamethasone in the treatment of patients with relapsed and refractory multiple myeloma. The addition of dexamethasone facilitated best response even though plasma exposure of panobinostat was reduced. Combination with a strong enzyme inducer should be avoided in future trials to prevent further reduction of panobinostat exposure.

Bazedoxifene is a selective estrogen receptor modulator that has estrogen agonist effects on bone and lipid metabolism while having neutral or estrogen antagonist effects on the breast and endometrium. The present report describes findings from 3 Phase I clinical studies that evaluated the single-dose pharmacokinetics (study 1; n = 84), multiple-dose pharmacokinetics (study 2; n = 23), and absolute bioavailability (study 3; n = 18) of bazedoxifene. All 3 studies enrolled healthy postmenopausal women who were either naturally postmenopausal or had undergone bilateral oophorectomy at least 6 months before the start of the study. Study 1 showed that unconjugated and total (unconjugated and conjugated) bazedoxifene levels increased proportionally with ascending oral doses of bazedoxifene (through the dose range of 5–120 mg). Evaluation with or without food intake was conducted at the 10-mg dose, with no clinically relevant effect on pharmacokinetic parameters. Study 2 showed that bazedoxifene achieved steady state in 1 week and exhibited linear pharmacokinetics in doses of 5 to 40 mg with no unexpected accumulation over the dose range. In accordance with a linear pharmacokinetic profile, mean maximum plasma concentration values increased with increasing dose, with values of 1.6, 6.2, and 12.5 ng/mL for the 5-, 20-, and 40-mg doses, respectively. In study 3, tablet and capsule formulations of bazedoxifene formulations had an estimated oral bioavailability of ~6%. The clearance of bazedoxifene was 0.4 (0.1) L/h/kg based on intravenous administration. The oral formulations had comparable exposure profiles with respect to AUC and AUC0–t, and the 90% CIs for these values were within the bioequivalence limits of 80% to 125%. Bazedoxifene was safe and well tolerated in all 3 studies. These pharmacokinetic evaluations in healthy postmenopausal women found that bazedoxifene displayed linear pharmacokinetics with doses ranging from 5 to 40 mg, with no unexpected accumulation. Food did not seem to have any clinically relevant impact on pharmacokinetic parameters. Bazedoxifene had an estimated oral bioavailability of ~6% and was safe and well tolerated in the range of doses evaluated.

Background and Objective Circadian rhythms may influence the pharmacokinetics of drugs. This study aimed to elucidate whether the pharmacokinetics of the orally administered drug sunitinib are subject to circadian variation. Methods We performed studies in male FVB-mice aged 8–12 weeks, treated with single-dose sunitinib at six dosing times. Plasma and tissue samples were obtained for pharmacokinetic analysis and to monitor messenger RNA (mRNA) expression of metabolizing enzymes and drug transporters. A prospective randomized crossover study was performed in which patients took sunitinib once daily at 8 a.m., 1 p.m., and 6 p.m at three subsequent courses. Patients were blindly randomized into two groups, which determined the sequence of the sunitinib dosing time. The primary endpoint in both studies was the difference in plasma area under the concentration–time curve (AUC) of sunitinib and its active metabolite SU12662 between dosing times. Results Sunitinib and SU12662 plasma AUC in mice followed an ~12-h rhythm as a function of administration time ( p  ≤ 0.04). The combined AUC from time zero to 10 h (AUC 10 ) was 14–27 % higher when sunitinib was administered at 4 a.m. and 4 p.m. than at 8 a.m. and 8 p.m. Twenty-four-hour rhythms were seen in the mRNA levels of drug transporters and metabolizing enzymes. In 12 patients, sunitinib trough concentrations ( C trough ) were higher when the drug was taken at 1 p.m. or 6 p.m. than when taken at 8 a.m. ( C trough-1 p.m . 66.0 ng/mL; C trough-6 p.m. 58.9 ng/mL; C trough-8 a.m. 50.7 ng/mL; p  = 0.006). The AUC was not significantly different between dosing times. Conclusions Our results indicate that sunitinib pharmacokinetics follow an ~12-h rhythm in mice. In humans, morning dosing resulted in lower C trough values, probably resulting from differences in elimination. This can have implications for therapeutic drug monitoring.

Summary Purpose Some targeted anticancer agents are associated with serious ventricular tachyarrhythmias, which may be predicted by electrocardiographic evaluation of drug-related QT prolongation. We studied the effects of nintedanib (BIBF 1120; an oral, triple angiokinase inhibitor targeting vascular endothelial growth factor, fibroblast growth factor, and platelet-derived growth factor receptors) on the QT interval in patients with renal cell carcinoma (RCC) participating in an open-label phase II trial. Methods Treatment-naïve, adult patients with unresectable/metastatic, clear cell RCC received nintedanib 200 mg twice daily. QT intervals were evaluated at baseline (day −1), on day 1 (after the first dose), and on day 15 (steady state) by 12-lead electrocardiograms (ECGs) performed in triplicate. Pharmacokinetic sampling was also undertaken. Results Among 64 evaluable patients, the upper limits of the 2-sided 90 % confidence intervals for the adjusted mean time-matched changes in QTcF interval (corrected for heart rate by Fridericia’s method) from baseline to day 1 and 15 (primary ECG endpoint) were well below the regulatory threshold of 10 ms at all times. No relationship between nintedanib exposure and change from baseline in QTcF was seen. Nintedanib was generally well tolerated with no drug-related cardiovascular adverse events. Conclusion Nintedanib administered at 200 mg twice daily was not associated with clinically relevant QT prolongation.

Background Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disease and is characterized by gradual cyst growth and expansion, increase in kidney volume with an ultimate decline in kidney function leading to end stage renal disease (ESRD). Given the decades long period of stable kidney function while cyst growth occurs, it is important to identify those patients who will progress to ESRD. Recent data from our and other laboratories have demonstrated that metabolic reprogramming may play a key role in cystic epithelial proliferation resulting in cyst growth in ADPKD. Height corrected total kidney volume (ht-TKV) accurately reflects cyst burden and predicts future loss of kidney function. We hypothesize that specific plasma metabolites will correlate with eGFR and ht-TKV early in ADPKD, both predictors of disease progression, potentially indicative of early physiologic derangements of renal disease severity. Methods To investigate the predictive role of plasma metabolites on eGFR and/or ht-TKV, we used a non-targeted GC-TOF/MS-based metabolomics approach on hypertensive ADPKD patients in the early course of their disease. Patient data was obtained from the HALT-A randomized clinical trial at baseline including estimated glomerular filtration rate (eGFR) and measured ht-TKV. To identify individual metabolites whose intensities are significantly correlated with eGFR and ht-TKV, association analyses were performed using linear regression with each metabolite signal level as the primary predictor variable and baseline eGFR and ht-TKV as the continuous outcomes of interest, while adjusting for covariates. Significance was determined by Storey’s false discovery rate (FDR) q-values to correct for multiple testing. Results Twelve metabolites significantly correlated with eGFR and two triglycerides significantly correlated with baseline ht-TKV at FDR q-value < 0.05. Specific significant metabolites, including pseudo-uridine, indole-3-lactate, uric acid, isothreonic acid, and creatinine, have been previously shown to accumulate in plasma and/or urine in both diabetic and cystic renal diseases with advanced renal insufficiency. Conclusions This study identifies metabolic derangements in early ADPKD which may be prognostic for ADPKD disease progression. Clinical trial HALT Progression of Polycystic Kidney Disease (HALT PKD) Study A; Clinical www.clinicaltrials.gov identifier: NCT00283686; first posted January 30, 2006, last update posted March 19, 2015.