Background & AimsIt has been postulated that I148M carriers of PNPLA3 (CG[Ile/Met] or GG[Met/Met]) develop MASLD in the absence of insulin resistance or metabolic syndrome. However, the relationship between insulin resistance and MASLD according to PNPLA3 allele has not been carefully assessed.Approach & ResultsA total of 204 participants were recruited and underwent PNPLA3 genotyping, an oral glucose tolerance test (OGTT), liver proton magnetic resonance spectroscopy (1H-MRS) and percutaneous liver biopsy if a diagnosis of MASLD. A subgroup of patients (n=55) had an euglycemic hyperinsulinemic clamp with glucose tracer infusion.As expected, patients with CG/GG genotype had worse intrahepatic triglyceride content and worse liver histology. However, regardless of PNPLA3 genotype, patients with a diagnosis of MASLD had severe whole-body insulin resistance (Matsuda index, an estimation of insulin resistance in glucose metabolic pathways) and fasting and postprandial adipose tissue insulin resistance (Adipo-IR index and FFA suppression during the OGTT, respectively, as measures of insulin resistance in lipolytic metabolic pathways) compared to patients without MASLD. Moreover, for the same amount of liver fat accumulation, insulin resistance was similar in patients with genotypes CC vs. CG/GG. In multiple regression analyses, A1c and Adipo-IR were associated with presence of MASLD and advanced liver fibrosis, independently of PNPLA3 genotype.ConclusionsPNPLA3 variant carriers with MASLD are equally insulin resistant as non-carriers with MASLD at the level of the liver, muscle, and adipose tissue. This calls for reframing “PNPLA3 MASLD” as an insulin resistant population at increased liver susceptibility to metabolic insults, such as obesity or diabetes, and in need of early identification and aggressive intervention to reverse metabolic dysfunction and prevent disease progression.Impact and implicationsIt has been proposed that PNPLA3 genotype is associated with the presence of MASLD in the absence of insulin resistance (IR). However, our results suggest that regardless of PNPLA3 alleles, the presence of IR is necessary for the development of MASLD. This calls for reframing patients with “PNPLA3 MASLD” not as insulin sensitive, but on the contrary, as an insulin resistant population at increased liver susceptibility to metabolic insults, such as obesity or diabetes.

Introduction: Cannabidiol (CBD) is a widely utilized nonpsychoactive cannabinoid available as an over-the-counter supplement, a component of medical cannabis, and a prescriptive treatment of childhood epilepsies. In vitro studies suggest CBD may inhibit a number of drug-metabolizing enzymes, including carboxylesterase 1 (CES1). The aim of this study was to evaluate effect of CBD on the disposition of the CES1 substrate methylphenidate (MPH). Methods: In a randomized, placebo-controlled, crossover study, 12 subjects ingested 750 mg of CBD solution, or alternatively, a placebo solution twice daily for a 3-day run-in period followed by an additional CBD dose (or placebo) and a single 10 mg dose of MPH and completed serial blood sampling for pharmacokinetic analysis. MPH and CBD concentrations were measured by liquid chromatography with tandem mass spectrometry. Results: The Cmax (mean ± CV) for the CBD group and placebo group was 13.5 ± 43.7% ng/mL and 12.2 ± 36.4% ng/mL, respectively. AUCinf (ng/mL*h) for the CBD group and placebo group was 70.7 ± 32.5% and 63.6 ± 25.4%, respectively. The CBD AUC0-8h (mean ± CV) was 1,542.2 ± 32% ng/mL*h, and Cmax was 389.2 ± 39% ng/mL. When compared to MPH only, the geometric mean ratio (CBD/control, 90% CI) for AUCinf and Cmax with CBD co-administration was 1.09 (0.89, 1.32) and 1.08 (0.85, 1.37), respectively. Discussion/Conclusion: Although the upper bound of bioequivalence was not met, the mean estimates of AUC and Cmax ratios were generally small and unlikely to be of clinical significance.

Abstract There are limited comparison data throughout the dosing interval for generic versus brand metoprolol extended‐release (ER) tablets. We compared the pharmacokinetics (PKs) and pharmacodynamics of brand name versus two generic formulations (drugs 1 and 2) of metoprolol ER tablets with different time to maximum concentration (Tmax) in adults with hypertension. Participants were randomized to equal drug doses (50–150 mg/day) administered in one of two sequences (brand‐drug1‐brand‐drug2 or brand‐drug2‐brand‐drug1) and completed 24‐h PK, digital heart rate (HR), ambulatory blood pressure (BP), and HR studies after taking each formulation for greater than or equal to 7 days. Metoprolol concentrations were determined by liquid chromatography tandem mass spectrometry, with noncompartmental analysis performed to obtain PK parameters in Phoenix WinNonlin. Heart rate variability (HRV) low‐to‐high frequency ratio was determined per quartile over the 24‐h period. Thirty‐six participants completed studies with the brand name and at least one generic product. Among 30 participants on the 50 mg dose, the primary PK end points of area under the concentration‐time curve and Cmax were similar between products; Tmax was 6.1 ± 3.6 for the brand versus 3.5 ± 4.9 for drug 1 (p = 0.019) and 9.6 ± 3.2 for drug 2 (p < 0.001). Among all 36 participants, 24‐h BPs and HRs were similar between products. Mean 24‐h HRV low‐to‐high ratio was also similar for drug 1 (2.04 ± 1.35), drug 2 (1.86 ± 1.35), and brand (2.04 ± 1.77), but was more sustained over time for the brand versus drug 1 (drug × quartile interaction p = 0.017). Differences in Tmax between metoprolol ER products following repeated doses may have implications for drug effects on autonomic balance over the dosing interval.

Introduction Although the majority of pharmacy schools are teaching pharmacogenetics in their curricula, there is limited coverage of important clinical concepts and pharmacists report low comfortability in utilizing pharmacogenetic results. Objectives To compare the effectiveness of a combined didactic and patient case-based, interactive teaching approach (including optional personal genotyping) with a traditional didactic teaching strategy on students' knowledge and confidence in their ability to use pharmacogenetic data in clinical decision-making. Methods The University of Florida College of Pharmacy offered elective and required courses in personalized medicine from 2014 to 2016. The elective course, Clinical Applications of Personalized Medicine, emphasized interactive patient case-based teaching and incorporated personal genotype results into learning activities, while the required course, Personalized Medicine, primarily used a didactic lecture-based format. Students enrolled in both courses concurrently (intervention group) and the required course alone (control group) completed pre- and post-course surveys with patient case-based assessments to evaluate their knowledge and confidence in their ability to apply genotype data to drug therapy recommendations. Results Fifty-two students (intervention: n = 21; control: n = 31) completed both surveys. Between the intervention and control groups respectively, there were no differences in mean pre-course knowledge (43.1% vs 37.7% questions correct, P = .15) or median confidence scores (35 vs 40, P = .84). Mean post-course knowledge (65.4% vs 46.9% questions correct, P < .001) and median confidence scores (97 vs 81, P = .0003) were significantly higher in the intervention vs control group, respectively. There was no correlation between students' knowledge and confidence for pre-course assessment in either group. For the post-course assessment, knowledge and confidence were positively correlated in the intervention group (adjusted r = .46, adjusted P = .04), but were not correlated in controls. Conclusion Our data suggest that a combined teaching strategy that employs didactic lecture plus patient-centered, case-based teaching and personal genotype application improves students' ability to accurately self-assess their knowledge in pharmacogenetics.

Introduction In intensive care unit (ICU) patients, delirium is frequent, occurs early in ICU admission, and is associated with poor outcomes. Risk models based on clinical factors have shown variable performance in terms of predictive ability. Identification of a candidate biomarker that associates with delirium may lead to a better understanding of disease mechanism, validation biomarker studies, and the ability to develop targeted interventions for prevention and treatment of delirium. This study analyzed metabolite concentrations early in the course of ICU admission to assess the association with delirium onset. Methods Within 24 hours of ICU admission, blood samples for global and targeted metabolomics analyses in adult surgical ICU patients were collected prospectively. Metabolites were determined using mass spectrometry/ultra‐high‐pressure liquid chromatography and analyzed in patients with delirium and a group of controls matched on age, sex, and admission Sequential Organ Function Assessment (SOFA) score. Results Patients in the study (65 per group) were a mean age of 59 years, had a median SOFA score of 6, and were most commonly admitted to the ICU following major trauma. In the delirium group, median onset of delirium was 3 (interquartile range 1–6) days, and the most common delirium subtype was mixed (56%). Kynurenic acid was significantly increased, and tryptophan concentration was significantly decreased in the delirium group (p=0.04). The ratio of kynurenine‐to‐tryptophan concentration was significantly higher in the delirium group (p=0.005). Conclusions Evidence of upregulation was found in the tryptophan metabolic pathway in delirious patients because tryptophan concentrations were lower, tryptophan metabolites were higher, and the kynurenine‐to‐tryptophan ratio was increased. These findings suggest a role of increased inflammation and accumulation of neurotoxic metabolites in the pathogenesis of ICU delirium. Future studies should target this pathway to validate metabolites in the tryptophan pathway as risk biomarkers in patients with ICU delirium.

Recent CYP2D6 phenotype standardization efforts by CYP2D6 activity score (AS) are based on limited pharmacokinetic (PK) and pharmacodynamic (PD) data. Using data from two independent clinical trials of metoprolol, we compared metoprolol PK and PD across CYP2D6 AS with the goal of determining whether the PK and PD data support the new phenotype classification. S‐metoprolol apparent oral clearance (CLo), adjusted for clinical factors, was correlated with CYP2D6 AS (P < 0.001). The natural log of CLo was lower with an AS of 1 (7.6 ± 0.4 mL/minute) vs. 2–2.25 (8.3 ± 0.6 mL/minute; P = 0.012), similar between an AS of 1 and 1.25–1.5 (7.8 ± 0.5 mL/minute; P = 0.702), and lower with an AS of 1.25–1.5 vs. 2–2.25 (P = 0.03). There was also a greater reduction in heart rate with metoprolol among study participants with AS of 1 (−10.8 ± 5.5) vs. 2–2.25 (−7.1 ± 5.6; P < 0.001) and no significant difference between those with an AS of 1 and 1.25–1.5 (−9.2 ± 4.7; P = 0.095). These data highlight linear trends among CYP2D6 AS and metoprolol PK and PD, but inconsistencies with the phenotypes assigned by AS based on the current standards. Overall, this case study with metoprolol suggests that utilizing CYP2D6 AS, instead of collapsing AS into phenotype categories, may be the most precise approach for utilizing CYP2D6 pharmacogenomics in clinical practice.

Pterostilbene is a natural polyphenol compound found in small berries that is related to resveratrol, but has better bioavailability and a longer half-life. The purpose of this study was to assess the potential inhibitory effect of pterostilbene on in vitro drug metabolism. The effect of pterostilbene on cytochrome P450 (CYP) and UDP-glucuronosyltransferase (UGT) enzyme activities were studied using the enzyme-selective substrates amodiaquine (CYP2C8), midazolam (CYP3A4), estradiol (UGT1A1), serotonin (UGT1A6) and mycophenolic acid (UGT1A8/9/10). The IC50 value was used to express the strength of inhibition. Further, a volume per dose index (VDI) was used to estimate the potential for in vivo interactions. Pterostilbene significantly inhibited CYP2C8 and UGT1A6 activities. The IC50 (mean ± SE) values for CYP2C8 and UGT1A6 inhibition were 3.0 ± 0.4 µM and 15.1 ± 2.8 µM, respectively; the VDI exceeded the predefined threshold of 5 L/dose for both CYP2C8 and UGT1A6, suggesting a potential for interaction in vivo. Pterostilbene did not inhibit the metabolism of the other enzyme-selective substrates. The results of this study indicate that pterostilbene inhibits CYP2C8 and UTG1A6 activity in vitro and may inhibit metabolism by these enzymes in vivo. Clinical studies are warranted to evaluate the in vivo relevance of these interactions.

Purpose: The purpose of this study was to compare the bioavailability between 2 milk thistle containing dietary supplements, Product B and IsaGenesis, in healthy volunteers. Methods: Bioavailability between Product B, originally formulated as a powdered capsule, and IsaGenesis, reformulated as a soft gel, were compared by measuring silybin A and silybin B as surrogate pharmacokinetic markers for differences in absorption and bioavailability. For this randomized, open-label, crossover pharmacokinetic study, 12 healthy volunteers consumed a single-dose serving of each supplement separated by at least a 7-day washout period. Serial blood samples were obtained at 0, 0.5, 1, 1.5, 2, 3, 4, 6, and 8 hours and analyzed via LC-MS/MS. Findings: Rapid absorption and elimination of silybin A and silybin B have been observed after oral administration of both Product B and IsaGenesis. However, the absorption rate and extent, as indicated by mean the C-max and mean plasma AUC, were significantly higher for the IsaGenesis soft gel formulation. The dose-corrected mean Cmax was 365% and 450% greater for silybin A and B, respectively, relative to powdered Product B. The time to T-max was reached, on average, at least 1 hour earlier with IsaGenesis relative to Product B for both silybin A and silybin B. Implications: The IsaGenesis soft gel formulation provided substantially greater absorption and bioavailability of silybin A and silybin B relative to the powdered Product B supplement. ClinicalTrials.gov Identifier: NCT02529605. (C) 2018 Elsevier HS Journals, Inc. All rights reserved.

Pioglitazone is used effectively to treat non-alcoholic steatohepatitis (NASH), but there is marked variability in response. This study examined whether genetic variation contributes to pioglitazone response variability in patients with NASH. This genetic substudy includes 55 participants of a randomized controlled trial designed to determine the efficacy of long-term pioglitazone treatment in patients with NASH. The primary outcome of the clinical trial was defined as ≥2-point reduction in the non-alcoholic fatty liver disease activity score (NAS). In this substudy, single nucleotide polymorphisms (SNPs) in putative candidate genes were tested for association with primary and secondary outcomes. A genetic response score was constructed based on the sum of response alleles for selected genes. The genetic response score was significantly associated with achievement of the primary outcome (odds ratio 1.74; 95% CI 1.27–2.54; p = 0.0015). ADORA1 rs903361 associated with resolution of NASH (p = 0.0005) and change in the ballooning score among Caucasian and Hispanic patients (p = 0.0005). LPL rs10099160 was significantly associated with change in ALT (p = 0.0005). The CYP2C8∗3 allele, which confers faster pioglitazone clearance in allele carriers, was associated with change in fibrosis score (p = 0.026). This study identified key genetic factors that explain some of the inter-individual variability in response to pioglitazone among patients with NASH.

Background Although hydrochlorothiazide (HCTZ) is a well‐established first‐line antihypertensive in the United States, <50% of HCTZ treated patients achieve blood pressure (BP) control. Thus, identifying biomarkers that could predict the BP response to HCTZ is critically important. In this study, we utilized metabolomics, genomics, and lipidomics to identify novel pathways and biomarkers associated with HCTZ BP response. Methods and Results First, we conducted a pathway analysis for 13 metabolites we recently identified to be significantly associated with HCTZ BP response. From this analysis, we found the sphingolipid metabolic pathway as the most significant pathway (P=5.8E‐05). Testing 78 variants, within 14 genes involved in the sphingolipid metabolic canonical pathway, with the BP response to HCTZ identified variant rs6078905, within the SPTLC3 gene, as a novel biomarker significantly associated with the BP response to HCTZ in whites (n=228). We found that rs6078905 C‐allele carriers had a better BP response to HCTZ versus noncarriers (∆SBP/∆DBP: −11.4/−6.9 versus −6.8/−3.5 mm Hg; ∆SBP P=6.7E‐04; ∆DBP P=4.8E‐04). Additionally, in blacks (n=148), we found genetic signals in the SPTLC3 genomic region significantly associated with the BP response to HCTZ (P<0.05). Last, we observed that rs6078905 significantly affects the baseline level of 4 sphingomyelins (N24:2, N24:3, N16:1, and N22:1; false discovery rate <0.05), from which N24:2 sphingomyelin has a significant correlation with both HCTZ DBP‐response (r=−0.42; P=7E‐03) and SBP‐response (r=−0.36; P=2E‐02). Conclusions This study provides insight into potential pharmacometabolomic and genetic mechanisms underlying HCTZ BP response and suggests that SPTLC3 is a potential determinant of the BP response to HCTZ. Clinical Trial Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT00246519.

Objective: Incidence of venous thromboembolism (VTE) in critically ill patients remains unacceptably high despite widespread use of thromboprophylaxis. A systems biology approach may be useful in understanding disease pathology and predicting response to treatment. Metabolite profile under specific environmental conditions provides the closest link to phenotype, but the relationship between metabolomics and risk of VTE in critically ill patients is unknown. In this study, metabolomics signatures are compared in patients with and without VTE. Design: Multicenter case-control study using prospectively collected data from the Inflammation and Host Response to Injury program, with pathway and in silico gene expression analyses. Setting: Eight level 1 US trauma centers. Patients: Critically ill adults with blunt trauma who developed VTE within the first 28 days of hospitalization compared to patients without VTE (N-VTE). Interventions: None. Measurements and main results: Patients included in the study (n=20 VTE, n=20 N-VTE) were mean age of 34 years, injury severity score of 35, and VTE diagnosed a median of 10.5 days after admission. Global metabolomics revealed two kynurenine metabolites, N-formylkynurenine (AUC=0.77; 95% CI: 0.59-0.89) and 5-hydroxy-N-formylkynurenine (AUC=0.80; 95% CI: 0.63-0.90) significantly discriminated VTE and N-VTE; ratio between N-formylkynurenine/5-hydroxy-N-formylkynurenine improved predictive power (AUC=0.87; 95% CI: 0.74-0.95). In the pathway analysis, tryptophan was the only significant metabolic pathway including N-formylkynurenine and 5-hydroxy-N-formylkynurenine (p < 0.001), and 8 proteins directly or indirectly interacted with these metabolites in the interaction network analysis. Of the 8 genes tested in the in silico gene expression analyses, KYNU (p < 0.001), CCBL1 (p < 0.001), and CCBL2 (p=0.001) were significantly different between VTE and N-VTE, controlling for age and sex. Conclusions: Two novel kynurenine metabolites in the tryptophan pathway associated with hospital-acquired VTE, and 3 candidate genes were identified via pathway and interaction network analyses. Future studies are warranted to validate these findings in diverse populations using a multi-omics approach.

Milk thistle is a widely-consumed botanical used for an array of purported health benefits. The primary extract of milk thistle is termed silymarin, a complex mixture that contains a number of structurally-related flavonolignans, the flavonoid, taxifolin, and a number of other constituents. The major flavonolignans present in most extracts are silybin A, silybin B, isosilybin A and isosilybin B, silydianin, silychristin and isosilychristin. Silymarin itself has been reported to inhibit CYP2C8 activity in vitro, but the effect of the individual flavonolignans on this enzyme has not been studied. To investigate the effects of milk thistle extract and its main flavonolignans (silybin A, silybin B, isosilybin A and isosilybin B) on CYP2C8 activity at relevant concentrations, the effect of milk thistle extract and the flavonolignans on CYP2C8 enzyme activity was studied in vitro using human liver microsomes (HLM) incorporating an enzyme-selective substrate for CYP2C8, amodiaquine. Metabolite formation was analyzed using liquid chromatography-tandem mass spectrometry (LC/MS-MS). The concentration causing 50% inhibition of enzyme activity (IC50) was used to express the degree of inhibition. Isosilibinin, a mixture of the diastereoisomers isosilybin A and isosilybin B, was found to be the most potent inhibitor, followed by isosilybin B with IC50 values (mean ± SE) of 1.64 ± 0.66 μg/mL and 2.67 ± 1.18 μg/mL, respectively. The rank order of observed inhibitory potency after isosilibinin was silibinin > isosilybin A > silybin A > milk thistle extract > and silybin B. These in vitro results suggest a potentially significant inhibitory effect of isosilibinin and isosilybin B on CYP2C8 activity. However, the observed IC50 values are unlikely to be achieved in humans supplemented with orally administered milk thistle extracts due to the poor bioavailability of flavonolignans documented with most commercially available formulations.

The emerging use of genomic data to inform medication therapy populates the medical literature and provides evidence for guidelines in the prescribing information for many medications. Despite the availability of pharmacogenomic studies, few pharmacists feel competent to use these new data in patient care. The first pharmacogenomics competency statement for pharmacists was published in 2002. In 2011, the Pharmacogenomics Special Interest Group of the American Association of Colleges of Pharmacy led a process to update this competency statement with the use of a consensus-based method that incorporated input from multiple key professional pharmacy organizations to reflect growth in genomic science as well as the need for pharmacist application of genomic data. Given the rapidly evolving science, educational needs, and practice models in this area, a standardized competency-based approach to pharmacist education and training in pharmacogenomics is needed to equip pharmacists for leadership roles as essential members of health care teams that implement clinical utilization strategies for genomic data.

The objectives of this study were to investigate the effect of grapefruit juice low in furanocoumarins on CYP3A activity and to summarize previous findings of enzyme inhibition measured by the metabolism of midazolam after intake of grapefruit juice. Twelve healthy volunteers participated in a prospective, randomized, double-blinded, 3-way crossover clinical study to determine the effect of regular grapefruit juice (RGJ) and a novel, low-furanocoumarin hybrid grapefruit juice (HGJ) on the metabolism of oral midazolam, used as a probe for in vivo CYP3A activity, compared with water as a control. The RGJ was 100% hand-squeezed "Hudson" grapefruit juice, and the HGJ contained low amounts of furanocoumarin constituents. The point estimates (90% confidence intervals) for the RGJ/water midazolam AUC geometric mean ratio was 122% (107-140). The point estimate for the HGJ/water midazolam AUC ratio was within the 80% to 125% bioequivalence range, indicating an absence of interaction. This finding also prompted a systematic review of available evidence on the pharmacokinetic alteration of midazolam by grapefruit juice. Although most studies demonstrated alteration in midazolam pharmacokinetics supporting inhibition of CYP3A activity as a likely mechanism, the cohorts included in these studies and the extent of the pharmacokinetic interaction varied widely. The current study indicated grapefruit juice-drug interaction varies substantially based on patient characteristics and/or grapefruit juice product-related factors, including the amount of furanocoumarin constituents present in the juice.

BACKGROUND:Pioglitazone is a safe and effective option to manage patients with type 2 diabetes and nonalcoholic steatohepatitis (NASH). However, there is marked variability in treatment response.AIM:To evaluate the relationship between concentrations of pioglitazone and its active metabolites and treatment outcomes in patients with NASH.METHODS:Pioglitazone concentrations were measured in patients with NASH treated with pioglitazone 45 mg/day for 18 months; liver biopsy samples were obtained at baseline and after treatment. The primary outcome was a ≥2-point reduction in NAFLD activity score (NAS) with at least one-point improvement in more than one liver histology category and without worsening of fibrosis. A novel marker, the pioglitazone exposure index, was calculated to consider the concentrations of pioglitazone as well as the two active metabolites.RESULTS:The response to pioglitazone was concentration-dependent as evidenced by the significant relationship between both pioglitazone concentration and pioglitazone exposure index with changes in NAS (r=.48, P=.0002 and r=.51, P<.0001, respectively), steatosis (r=.41, P=.002 and r=.46, P=.0005), and inflammation (r=.44, P=.0009 and r=.40, P=.0003). The pioglitazone exposure index was also associated with a change in ballooning (P=.04). The pioglitazone exposure index was higher in patients with NASH resolution (2.85±1.38 vs 1.78±1.48, P=.018). A predictive model for the primary outcome was developed that incorporated baseline NAS and pioglitazone exposure index (AUC=0.77).CONCLUSIONS:This study demonstrates the importance of pioglitazone exposure to variable response in patients with NASH, and indicates potential factors that may identify patients most likely to benefit from chronic pioglitazone treatment.

INTRODUCTION:While atenolol is an effective antihypertensive agent, its use is also associated with adverse events including hyperglycemia and incident diabetes that may offset the benefits of blood pressure lowering. By combining metabolomic and genomic data acquired from hypertensive individuals treated with atenolol, it may be possible to better understand the pathways that most impact the development of an adverse glycemic state.OBJECTIVE:To identify biomarkers that can help predict susceptibility to blood glucose excursions during exposure to atenolol.METHODS:Plasma samples acquired from 234 Caucasian participants treated with atenolol in the Pharmacogenomic Evaluation of Antihypertensive Responses trial were analyzed by gas chromatography Time-Of-Flight Mass Spectroscopy. Metabolomics and genomics data were integrated by first correlating participant's metabolomic profiles to change in glucose after treatment with atenolol, and then incorporating genotype information from genes involved in metabolite pathways associated with glucose response.RESULTS:Our findings indicate that the baseline level of β-alanine was associated with glucose change after treatment with atenolol (Q = 0.007, β = 2.97 mg/dL). Analysis of genomic data revealed that carriers of the G allele for SNP rs2669429 in gene DPYS, which codes for dihydropyrimidinase, an enzyme involved in β-alanine formation, had significantly higher glucose levels after treatment with atenolol when compared with non-carriers (Q = 0.05, β = 2.76 mg/dL). This finding was replicated in participants who received atenolol as an add-on therapy (P = 0.04, β = 1.86 mg/dL).CONCLUSION:These results suggest that β-alanine and rs2669429 may be predictors of atenolol-induced hyperglycemia in Caucasian individuals and further investigation is warranted.

Hydrochlorothiazide is among the most commonly prescribed antihypertensives; yet, <50% of hydrochlorothiazide-treated patients achieve blood pressure (BP) control. Herein, we integrated metabolomic and genomic profiles of hydrochlorothiazide-treated patients to identify novel genetic markers associated with hydrochlorothiazide BP response. The primary analysis included 228 white hypertensives treated with hydrochlorothiazide from the Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) study. Genome-wide analysis was conducted using Illumina Omni 1 mol/L-Quad Chip, and untargeted metabolomics was performed on baseline fasting plasma samples using a gas chromatography-time-of-flight mass spectrometry platform. We found 13 metabolites significantly associated with hydrochlorothiazide systolic BP (SBP) and diastolic BP (DBP) responses (false discovery rate, <0.05). In addition, integrating genomic and metabolomic data revealed 3 polymorphisms (rs2727563 PRKAG2, rs12604940 DCC, and rs13262930 EPHX2) along with arachidonic acid, converging in the netrin signaling pathway (P=1×10(-5)), as potential markers, significantly influencing hydrochlorothiazide BP response. We successfully replicated the 3 genetic signals in 212 white hypertensives treated with hydrochlorothiazide and created a response score by summing their BP-lowering alleles. We found patients carrying 1 response allele had a significantly lower response than carriers of 6 alleles (∆SBP/∆DBP: -1.5/1.2 versus -16.3/-10.4 mm Hg, respectively, SBP score, P=1×10(-8) and DBP score, P=3×10(-9)). This score explained 11.3% and 11.9% of the variability in hydrochlorothiazide SBP and DBP responses, respectively, and was further validated in another independent study of 196 whites treated with hydrochlorothiazide (DBP score, P=0.03; SBP score, P=0.07). This study suggests that PRKAG2, DCC, and EPHX2 might be important determinants of hydrochlorothiazide BP response.

Incidence of venous thromboembolism (VTE) in adult trauma patients is high despite mechanical and pharmacologic prophylaxis. We hypothesized that thrombin formation capacity as measured by calibrated automated thrombogram (CAT) is increased early in hospitalization and is associated with the development of VTE.Methods: We conducted a prospective study in adult, critically ill trauma patients. Plasma was generated from whole blood samples collected within the first 3 days of hospital admission. CAT was used to determine lag time, thrombin peak, time to thrombin peak, endogenous thrombin potential (ETP), and velocity index in plasma samples from patients, and in control samples of platelet-poor, pooled normal plasma.Results: There were 35 trauma patients and 35 controls included in this pilot analysis. Patients were a mean (SD) age of 45 (19) years, and 23 (66%) were male. The most common mechanism of injury was motor vehicle crash followed by falls, and the median (IQR) injury severity score was 17 (12-27). Three patients (8.6%) had deep vein thrombosis (DVT) confirmed by Doppler ultrasound on median hospital day 7. Compared to control samples, patients had significantly longer lag times (3.1 min vs. 2.7 min, p = 0.02) and significantly higher ETP (1136 nM * min vs. 1019 nM * min, p = 0.007), peak thrombin generation (239 nM vs. 176 nM, p < 0.001), and velocity index (108 nM/min vs. 57 nM/min, p < 0.001) (Fig. 1). There was no difference in the time to peak thrombin generation between the two groups (5.5 min vs. 5.7 min, p = 0.22). In the 3 patients with VTE compared to controls, lag times were shorter and velocity index was higher while ETP and peak thrombin generation were similar. There were no statistically significant differences in thrombin generation parameters in patients with or without VTE, but lag time was numerically shorter, and thrombin peak, time to peak and area-under-the-curve (ETP) were numerically lower in patients with DVT.Conclusions: We observed a thrombin generation profile in critically ill trauma patients consistent with an early hypercoagulable state; however, thrombin generation parameters did not discriminate patients with VTE. (C) 2016 Elsevier Ltd. All rights reserved.