Identification of small molecules that mitigate vincristine‐induced neurotoxicity while sensitizing leukemia cells to vincristine

Vincristine (VCR) is one of the most widely prescribed medications for treating solid tumors and acute lymphoblastic leukemia (ALL) in children and adults. However, its major dose‐limiting toxicity is peripheral neuropathy that can disrupt curative therapy. Peripheral neuropathy can also persist into adulthood, compromising quality of life of childhood cancer survivors. Reducing VCR‐induced neurotoxicity without compromising its anticancer effects would be ideal. Here, we show that low expression of NHP2L1 is associated with increased sensitivity of primary leukemia cells to VCR, and that concomitant administration of VCR with inhibitors of NHP2L1 increases VCR cytotoxicity in leukemia cells, prolongs survival of ALL xenograft mice, but decreases VCR effects on human‐induced pluripotent stem cell‐derived neurons and mitigates neurotoxicity in mice. These findings offer a strategy for increasing VCR’s antileukemic effects while reducing peripheral neuropathy in patients treated with this widely prescribed medication.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Vincristine (VCR) is a widely prescribed drug, but its use is limited by its main side effect, neurotoxicity. There are currently no strategies to mitigate VCR neurotoxicity without altering its antileukemic effects.

• WHAT QUESTION DID THIS STUDY ADDRESS?

How to improve VCR efficacy while reducing its main side effect, neurotoxicity?

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

The present study shows for the first time the possibility of reduced VCR ‐induced neurotoxicity while improving VCR anti‐leukemia effect by using small molecules.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

The current translational study could permit a safer and more efficient use of VCR.     

Type‐2 airway inflammation in mild asthma patients with high blood eosinophils and high fractional exhaled nitric oxide

Type‐2 (T2) inflammation is a characteristic feature of asthma. Biological therapies have been developed to target T2‐inflammation in asthma. IL‐13 is a key component of T2‐inflammation in asthma, driving mucus hypersecretion, IgE‐induction, and smooth muscle contraction. Early phase clinical trials for treatments that target T2‐inflammation require biomarkers to assess pharmacological effects. The aim of this study was to examine levels of IL‐13 inducible biomarkers in the airway epithelium of patients with mild asthma compared to healthy controls. Ten patients with mild asthma with high blood eosinophil and high fractional exhaled nitric oxide (FeNO) were recruited, and six healthy subjects. Blood eosinophil and FeNO reproducibility was assessed prior to bronchoscopy. Epithelial brushings were collected and assessed for IL‐13 inducible gene expression. Blood eosinophil and FeNO levels remained consistent in both patients with asthma and healthy subjects. Of the 11 genes assessed, expression levels of 15LOX1, POSTN, CLCA1, SERPINB2, CCL26, and NOS2 were significantly higher in patients with asthma compared to healthy controls. These six genes, present in patients with mild asthma with T2 inflammation, have the potential to be used in translational early phase asthma clinical trials of novel therapies as bronchial epithelial biomarkers.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Type 2 (T2) inflammation is found in many patients with asthma and is not always controlled by inhaled corticosteroids. T2‐specific biomarkers may be useful for measuring the pharmacological effects of novel anti‐T2 treatments.

• WHAT QUESTION DID THIS STUDY ADDRESS?

We sought to identify IL‐13 associated biomarkers in the airways of patients with asthma with T2 inflammatory phenotype.

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

Six genes were identified in airway epithelium whose expressions were elevated in patients with T2‐high asthma compared to healthy subjects.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

The six genes identified have the potential to be used as target engagement biomarkers in early phase clinical development for novel asthma treatments targeting T2‐inflammation.     

Erythropoiesis‐stimulating agents and incident malignancy in chronic kidney and end‐stage renal disease: A population‐based study

Research investigating incident malignancy risk in erythropoiesis‐stimulating agent (ESA) users with chronic kidney disease (CKD) is lacking. We aimed to compare the incident cancer risk between ESA and non‐ESA users with CKD or end‐stage renal disease (ESRD). In this retrospective cohort study, all adults newly diagnosed with CKD or ESRD between 2000 and 2012 were enrolled. The study population included 98,748 patients. After case–control matching, 7115 patients were included. The defined daily dose (DDD) of ESA was used as the unit for measuring the amount of ESA prescribed. The primary outcome was the risk of incident malignancy. The secondary outcomes were incident malignancy risk in different tertiles of cumulative ESA doses and the risk of different types of cancers. The risk of incident malignancy was 1.84 times higher with ESA treatment than without ESA treatment (hazard ratio, 1.84; 95% confidence interval, 1.43–2.36; p < 0.001). The malignancy risk was positively correlated with the cumulative dose of ESA (p‐for‐trend = 0.001) and a significant difference in the high annual cumulative DDD cohort (hazard ratio [HR], 2.39; 95% confidence interval [CI], 1.76–3.25; p < 0.001). The risk of genitourinary malignancy was 12.55 times higher with ESA treatment than without ESA treatment (HR, 12.55; 95% CI, 5.78–27.24; p < 0.001). ESA usage is associated with an increased risk of malignancy, particularly genitourinary cancers, in patients with CKD or ESRD. Clinicians should be aware of the occurrence of malignancy, and keep ESA dosage as low as possible.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Erythropoiesis‐stimulating agents (ESAs) are known to impact the outcomes of pre‐existing cancer.

• WHAT QUESTION DID THIS STUDY ADDRESS?

The de novo cancer risk for users of ESAs has not been fully examined. We aimed to compare the incident cancer risk between ESA and non‐ESA users with chronic kidney disease (CKD) or end‐stage renal disease (ESRD).

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

Users of erythropoiesis‐stimulating agents had 1.84 times increasing risk of overall de novo cancer, and a 12‐fold risk of genitourinary tract cancer. The risk of overall de novo cancer increased proportionally with the dosage of ESAs.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

Clinicians should more aggressively taper the dosage of ESAs while achieving the target hemoglobin level. Patients with CKD or ESRD treated with ESAs should be more alert to occurrence of malignancies, particularly genitourinary tract cancers.     

Safety,tolerability, pharmacokinetic,and pharmacodynamic characteristics of vutiglabridin: A first‐in‐class,first‐in‐human study

This study aimed to evaluate the safety, tolerability, pharmacokinetics, and pharmacodynamics of vutiglabridin, a potential anti‐obesity treatment under development, for the first time in humans. A randomized, placebo‐controlled, single‐ and multiple‐ascending dose study (SAD and MAD, respectively) was performed in healthy Koreans and Whites. Subjects randomly received a single oral dose of 30–720 mg vutiglabridin or placebo at a ratio of 8:2 in the SAD study or 240–480 mg vutiglabridin or placebo once daily for 14 days in the MAD study. Food effect was also evaluated in 240 mg single dose group. Pharmacokinetics were evaluated through plasma concentrations, and pharmacodynamic biomarkers related to obesity or inflammation were analyzed. Safety and tolerability were assessed throughout the study. Single and multiple doses of vutiglabridin were generally well‐tolerated. The pharmacokinetic parameters show less than dose‐proportionality increase, and plasma concentrations increased more than two‐fold after multiple administrations. The mean half‐life of Koreans and Whites in the MAD study was 110 and 73 h, respectively. The systemic exposure of vutiglabridin was significantly increased when taken with a high‐fat meal, and the systemic exposure was lower in Whites than in Koreans. Vutiglabridin was well‐tolerated in healthy Koreans and Whites. The plasma concentration increased less than the dose‐proportionality manner. These results justify further investigation of vutiglabridin in patients with obesity.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

A treatment with multifunctional effects is needed for obesity. Because the chronic inflammation caused by obesity plays an essential role in the progression of metabolic disorders, suppressing inflammatory pathways may be another important treatment goal.

• WHAT QUESTION DID THIS STUDY ADDRESS?

What is the safety, tolerability, pharmacokinetic, and pharmacodynamic characteristics of vutiglabridin, a novel anti‐obesity agent, in healthy Korean and White individuals?

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

Vutiglabridin was well‐tolerated in both Korean and White individuals. The pharmacokinetic parameters of vutiglabridin did not show dose‐proportionality, and after multiple administrations, vutiglabridin showed accumulation.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

This study provides safety, pharmacokinetic, and pharmacodynamic information about vutiglabridin, which will be used for further trials for the treatment of obesity.     

Metabolomics analysis of the serum from children with urolithiasis using UPLC‐MS

Pediatric urolithiasis is a common urologic disease with high morbidity and recurrence rates. Recent studies have shown that metabolic dysfunction plays a vital role in the pathogenesis of urolithiasis, especially in children, but the specific mechanism is still unclear. Metabolomics is an ideal technology for exploring the mechanism of metabolic disorders in urolithiasis. In the present study, a serum metabolomics based on ultra‐performance liquid chromatography mass spectrometry was performed. A total of 50 children subjects were recruited for the study, including 30 patients with kidney stones and 20 normal controls (NCs). Principal component analysis and orthogonal partial least‐squares determinant analysis were carried, and 40 metabolites were found to be significantly altered in patients with kidney stones, mainly involving retinol metabolism, steroid hormone biosynthesis, and porphyrin and chlorophyll metabolism. The kidney stone group appeared to have a lower serum level of bilirubin, but a relative higher level of retinal, all‐transretinoic acid, progesterone, and prostaglandin E2 compared with those of the NC group. All the findings suggest that patients with urolithiasis have several metabolic characteristics, which are related to stone formation or compensation. These metabolites and pathways are very likely associated with development of kidney stones and should be considered as potential novel targets for treatment and prevention.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Metabolic disorders can be found in most children with kidney stones, suggesting that it plays a vital role in the pathogenesis of pediatric urolithiasis. Metabolomics is an ideal strategy to explore the mechanism of metabolic disorders in kidney stones.

• WHAT QUESTION DID THIS STUDY ADDRESS?

We aimed to identify the changes of serum metabolites in children with urolithiasis compared with normal controls by using ultra‐performance liquid chromatography mass spectrometry.

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

We found the special metabolic characteristics in patients with pediatric urolithiasis, which are related to stone formation or compensation.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

Our findings indicate that the metabolic phenotype of serum in pediatric patients with urolithiasis is significantly different from that in normal controls. These metabolites and metabolic pathways associated with stone formation will help to develop novel therapeutic strategies and preventive interventions.     

Pediatric growth patterns in youth‐onset type 2 diabetes mellitus: Implications for physiologically‐based pharmacokinetic models

An accurate understanding of the changes in height and weight of children with age is critical to the development of models predicting drug concentrations in children (i.e., physiologically‐based pharmacokinetic models). However, curves describing the growth of a typical population of children may not accurately characterize growth of children with various conditions, such as obesity. Therefore, to develop height and weight versus age growth curves for youth who were diagnosed with type 2 diabetes, we extracted data from electronic medical records. Robust nonlinear models were parameterized to the equations describing height and weight versus age as defined by the Centers for Disease Control and Prevention (CDC). CDC z‐scores were calculated using an internal program. The growth curves and z‐scores were compared to CDC norms. Youth with type 2 diabetes were increasingly heavier than CDC norms from early childhood. Except for a period around puberty, youth with type 2 diabetes were, on average, shorter than CDC norms, resulting in shorter average adult height. Deviations in growth were apparent in youth who develop type 2 diabetes; such deviations may be expected for other conditions as well, and disease‐specific growth curves should be considered during development of model‐informed drug development for pediatric conditions.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

The Centers for Disease Control and other agencies have developed growth curves that represent typical children, but they do not extend beyond the 97th percentile. The growth of many children with type 2 diabetes is therefore not represented by these curves.

• WHAT QUESTION DID THIS STUDY ADDRESS?

How does the height and weight of children who are diagnosed with type 2 diabetes change with age relative to a population of typically developing children?

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

Children who develop type 2 diabetes have growth patterns that deviate from the norm.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

Given that physiologically‐based pharmacokinetic scaling factors, such as liver volume, are based on body surface area, which is, itself, derived from height and weight, disease‐specific growth curves should be considered for modeling and simulation of dosing for pediatric drug development and clinical applications.     

An exploratory machine learning approach to identify placebo responders in pharmacological binge eating disorder trials

Randomized, placebo‐controlled trials for binge eating disorder (BED) have revealed highly variable, and often marked, rates of short‐term placebo response. Several quantitative based analyses in patients with BED have inconsistently demonstrated which patient factors attribute to an increase in placebo response. The objective of this study is to utilize machine learning (ML) algorithms to identify moderators of placebo response in patients with BED. Data were pooled from 12 randomized placebo‐controlled trials evaluating different treatment options for BED. The final dataset consisted of 189 adults receiving placebo with complete information of baseline variables. Placebo responders were defined as patients experiencing ≥75% reduction in binge eating frequency (BEF) at study end point. Nine patient prerandomization variables were included as predictors. Patients were divided into training and testing subsets according to an 75%:25% distribution while preserving the proportion of placebo responders. All analysis was performed in the software Pumas 2.0. Gaussian Naïve Bayes algorithm showed the best cross‐validation accuracy (~64%) and was chosen as the final algorithm. Shapley analysis suggested that patients with low baseline BEF and anxiety status were strong moderators of placebo response. Upon applying the final algorithm on the test dataset, the resulting sensitivity was 88% and prediction accuracy was 72%. This is the first application of ML to identify moderators of placebo response in BED. The results of this analysis confirm previous findings of lesser baseline disease severity and adds that patients with no anxiety are more susceptible to placebo response.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Randomized, placebo‐controlled binge eating disorder (BED) trials have revealed highly variable, and often marked, rates of placebo response. Approximately 50% of all investigator‐led trials previously demonstrated a lack of separation between active treatment and placebo.

• WHAT QUESTION DID THIS STUDY ADDRESS?

This study provides a machine learning‐based approach to enrich future BED trials by identifying potential moderators of placebo response.

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

By leveraging data from twelve BED investigator‐led randomized clinical trials, this study identified that patients with less disease severity and patients who do not exhibit symptoms of general anxiety disorder are more susceptible to placebo response.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

A machine learning approach using pooled data from similar clinical trials can provide recommendations for increasing probability of trial success in BED.     

Non‐synonymous alterations in AKR7A3 and ABCA6 correlate with bleeding in aged patients treated with rivaroxaban

Rivaroxaban is an oral anticoagulant that inhibits thrombin and blocks coagulation cascade through directly inactivating factors Xa. Despite rivaroxaban is widely used for prevention and treatment of venous thrombosis, and its common adverse reactions have been reported, including abnormal coagulation, mucosal hemorrhage, hematuria, and intracranial hemorrhage. To explore potential drivers of individual differences in adverse reactions induced by rivaroxaban, we performed whole‐exome sequencing and found that AKR7A3 rs1738023/rs1738025 and ABCA6 rs7212506 are susceptible sites for rivaroxaban‐related bleeding in aged patients treated with rivaroxaban. Gene functional annotation and signaling pathway enrichment indicated that homozygous mutations in AKR7A3 and ABCA6 might alter normal rivaroxaban transport and metabolism, and lead to continuous accumulation of activated drugs and toxic substances in vivo. Our results suggested that interindividual differences in bleeding events induced by rivaroxaban may be potentially driven by genetic alterations related to abnormal metabolism and transport of rivaroxaban.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Although rivaroxaban has been wildly used for the prevention and treatment of prevent of deep vein thrombosis without requiring routine coagulation monitoring, the adverse events, such as bleeding following rivaroxaban treatment, has not been fully addressed.

• WHAT QUESTION DID THIS STUDY ADDRESS?

The correlation between genetic variations and rivaroxaban treatment‐induced side effects (e.g., bleeding).

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

The AKR7A3 rs1738023/rs1738025 and ABCA6 rs7212506 confer susceptibility to adverse reactions caused by rivaroxaban.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY AND TRANSLATIONAL SCIENCE?

This study identified AKR7A3 and ABCA6 genes involved in drug metabolism and transport associated with susceptibility to rivaroxaban‐related bleeding events, and provided supporting evidence for the prevention and treatment of anticoagulant‐caused adverse effects.     

Machine learning approach to identify adverse events in scientific biomedical literature

Monitoring the occurrence of adverse events in the scientific literature is a mandatory process in drug marketing surveillance. This is a very time‐consuming and complex task to fulfill the compliance and, most importantly, to ensure patient safety. Therefore, a machine learning (ML) algorithm has been trained to support this manual intellectual review process, by automatically providing a classification of the literature articles into two types. An algorithm has been designed to automatically classify “relevant articles” which are reporting any kind of drug safety relevant information, and those which are not reporting an adverse drug reaction as “not relevant.” The review process is consisted of many rules and aspects which needed to be taken into consideration. Therefore, for the training of the algorithm, thousands of documents from previous screenings have been used. After several iterations of adjustments and fine tuning, the ML approach is definitively a great achievement in pre‐sorting the articles into “relevant” and “non‐relevant” and supporting the intellectual review process.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Using machine learning (ML) to make decisions based on previous decisions is becoming more prominent in the digital world. However, to implement such a workflow in a very regulated field is a big challenge.

• WHAT QUESTION DID THIS STUDY ADDRESS?

To what extend is it possible to replace human decisions needing intellectual input by ML?

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

It shows that it is to a certain extent possible to detect drug safety‐related information to the drugs in focus in written text. Furthermore, it combines the methodologies to show which technical solutions are best.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

Using ML in more and more processes will gain efficiency and will make drug discovery, drug development, and postmarketing surveillance more efficient and, most importantly, it will increase the patients’ safety.     

Effect of renal impairment on the pharmacokinetics and safety of dorzagliatin,a novel dual‐acting glucokinase activator

Dorzagliatin is a novel allosteric glucokinase activator targeting both pancreatic and hepatic glucokinase currently under clinical investigation for treatment of type 2 diabetes (T2D). This study aimed to investigate the effect of renal impairment (RI) on dorzagliatin’s pharmacokinetics (PKs) and safety, and to guide appropriate clinical dosing in patients with diabetic kidney disease, including end‐stage renal disease (ESRD). Based on the results from physiologically‐based pharmacokinetic modeling, the predicted outcome of RI on dorzagliatin PK property would be minimum that the plasma exposure area under concentration (AUC) of dorzagliatin in patients with ESRD would increase at about 30% with minimal change in peak concentration (C_max) comparing to those in healthy volunteers (HVs). To definitively confirm the prediction, a two‐part RI study was designed and conducted based on regulatory guidance starting with the patients with ESRD matched with HVs. Results of the RI study showed minimum difference between patients with ESRD and HVs with respect to dorzagliatin exposure with geometric mean ratio of ESRD to HV at 0.81 for C_max and 1.11 for AUC. The elimination half‐life, volume of distribution, and systemic clearance for dorzagliatin were similar between the two groups. Dorzagliatin was well‐tolerated in patients with ESRD during the study. Therefore, RI showed no significant impact on dorzagliatin PK, suggesting that dorzagliatin can be readily used in patients with T2D at all stages of RI without need for dose adjustment.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Currently, there are limited safe and effective anti‐hyperglycemia treatments for patients with diabetic kidney disease (DKD) and end‐stage renal disease (ESRD). Dorzagliatin has exhibited favorable absorption, distribution, metabolism, and excretion/drug metabolism and pharmacokinetic properties with good safety and efficacy profiles in multiple preclinical and clinical studies, demonstrating its potential as a novel glucose sensitizer for the treatment of type 2 diabetes.

• WHAT QUESTION DID THIS STUDY ADDRESS?

The impact of renal impairment (RI) on dorzagliatin pharmacokinetics (PKs). Whether dorzagliatin can be used in patients with DKD without dose adjustment.

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

RI had no significant impact on dorzagliatin PKs. Dorzagliatin can be used without dose adjustment in patients with DKD at any stage, including ESRD.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

A reduced study was designed based on regulatory guidance. Physiologically‐based pharmacokinetic (PBPK) modeling accurately predicted minimal impact of RI on dorzagliatin exposure, further supporting the study design. Subsequent clinical study results confirmed in silico prediction and validated the PBPK model. Therefore, integrating computational approach using scientifically well‐founded PBPK models can be powerful in critical decision making in drug development to reduce expenses and increase confidence.     

Metabolomic profiling of extraesophageal reflux disease in children

Although respiratory symptoms in children are often attributed to gastroesophageal reflux disease, establishing a clear diagnosis of extraesophageal reflux disease (EERD) can be challenging, as there are no sensitive or specific EERD biomarkers. The aim of this study was to evaluate the metabolite profile in bronchoalveolar (BAL) fluid from children with suspected EERD and assess the impact of reflux treatment on these metabolites. In this prospective pilot study, we performed nontargeted global metabolomic profiling on BAL fluid from 43 children undergoing testing with bronchoscopy, upper endoscopy, and multichannel intraluminal impedance with pH (pH‐MII) for evaluation of chronic respiratory symptoms. Twenty‐three (54%) patients had an abnormal pH‐MII study. Seventeen (40%) patients were on proton pump inhibitors (PPIs) for testing. Levels of histamine, malate, adenosine 5′‐monophosphate, and ascorbate were significantly lower in subjects with abnormal pH‐MII studies compared to those normal studies. Furthermore, in children off PPI therapy, those with abnormal pH‐MII studies had robust increases in a number of glycerophospholipids within phospholipid metabolic pathways, including derivatives of glycerophosphorylcholine, glycerophosphoglycerol, and glycerophosphoinositol, compared to those with normal pH‐MII studies. These findings offer insight into the impact of reflux and PPIs on the lungs and provide a foundation for future studies using targeted metabolomic analysis to identify potential biomarkers of EERD.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Establishing an association between gastroesophageal reflux disease and respiratory disease in children is challenging as there are no sensitive or specific biomarkers for extraesophageal reflux disease (EERD). Metabolomic analysis of bronchoalveolar lavage (BAL) fluid has offered promising insight into possible biomarkers for a variety of respiratory diseases but has never been studied in children with suspected EERD.

• WHAT QUESTION DID THIS STUDY ADDRESS?

This study addressed the questions of (1) whether there are differences in BAL metabolites in children with abnormal reflux testing with multichannel intraluminal impedance with pH and (2) whether reflux therapy with proton pump inhibitors was associated with different metabolite profiles.

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

We found that there were significant increases in a number of glycerophospholipids within phospholipid metabolic pathways in the BAL of children with untreated reflux, suggesting that gastroesophageal reflux may impact the lung metabolome.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

These findings may provide mechanistic insight into reflux‐induced lung injury and the impact of acid suppression medications on the lungs, which may help guide future biomarker discovery.     

No implication of HIV coinfection on the plasma exposure to rifampicin,pyrazinamide, and ethambutol in tuberculosis patients

There are contrasting findings regarding the effect of HIV on the pharmacokinetics of first‐line anti‐tubercular drugs (FLATDs) due to a lack of prospective controlled clinical studies, including patients with tuberculosis (TB) and patients with TB living with HIV. This study aims to assess the effect of HIV coinfection and antiviral therapy on the plasma exposure to FLATDs in patients with TB. HIV negative (TB‐HIV− group; n = 15) and HIV positive (TB‐HIV+ group; n = 18) adult patients with TB were enrolled during the second month of FLATDs treatment. All TB‐HIV+ patients were on treatment with lamivudine, tenofovir (or zidovudine), and raltegravir (or efavirenz). Serial blood sampling was collected over 24 h and FLATDs pharmacokinetic parameters were evaluated using noncompartmental methods. In the TB‐HIV+ patients, dose‐normalized plasma exposure area under the curve from zero to 24 h (nAUC_0–24; geometric mean and 95% confidence interval [CI]) values at steady‐state to rifampicin, pyrazinamide, and ethambutol were 18.38 (95% CI 13.74–24.59), 238.21 (95% CI 191.09–296.95), and 18.33 (95% CI 14.56–23.09) µg∙h/ml, respectively. Similar plasma exposure was found in the TB‐HIV− patients. The geometric mean and 90% CI of the ratios between TB‐HIV− and TB‐HIV+ groups suggest no significant pharmacokinetic interaction between the selected antivirals and FLATDs. Likewise, HIV coinfection itself does not appear to have any effect on the plasma exposure to FLATDs.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

First‐line anti‐tubercular drugs (FLATDs) plasma exposure is an important variable of tuberculosis (TB) outcome; however, there are contrasting findings regarding the effect of HIV on the pharmacokinetics of FLATDs due to a lack of prospective controlled clinical studies, including HIV positive and HIV negative patients with TB.

• WHAT QUESTION DID THIS STUDY ADDRESS?

This study evaluates the effect of HIV coinfection on the pharmacokinetics of rifampicin, pyrazinamide, and ethambutol in patients who are on stable therapy in the second month of FLATDs treatment.

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

This study shows no evidence that the pharmacokinetics of rifampicin, pyrazinamide, and ethambutol in patients with TB are affected by HIV coinfection or by any of the standard of care HIV comedications allowed in the study (lamivudine, zidovudine, tenofovir, efavirenz, or raltegravir).

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

HIV coinfection does not require dose adjustment of rifampicin, pyrazinamide, and ethambutol in patients with TB.     

Pharmacogenetic variants and risk of remdesivir‐associated liver enzyme elevations in Million Veteran Program participants hospitalized with COVID‐19

Remdesivir is the first US Food and Drug Administration (FDA)‐approved drug for the treatment of coronavirus disease 2019 (COVID‐19). We conducted a retrospective pharmacogenetic study to examine remdesivir‐associated liver enzyme elevation among Million Veteran Program participants hospitalized with COVID‐19 between March 15, 2020, and June 30, 2021. Pharmacogene phenotypes were assigned using Stargazer. Linear regression was performed on peak log‐transformed enzyme values, stratified by population, adjusted for age, sex, baseline liver enzymes, comorbidities, and 10 population‐specific principal components. Patients on remdesivir had higher peak alanine aminotransferase (ALT) values following treatment initiation compared with patients not receiving remdesivir. Remdesivir administration was associated with a 33% and 24% higher peak ALT in non‐Hispanic White (NHW) and non‐Hispanic Black (NHB) participants (p < 0.001), respectively. In a multivariable model, NHW CYP2C19 intermediate/poor metabolizers had a 9% increased peak ALT compared with NHW normal/rapid/ultrarapid metabolizers (p = 0.015); this association was not observed in NHB participants. In summary, remdesivir‐associated ALT elevations appear to be multifactorial, and further studies are needed.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Remdesivir is associated with liver injury in patients with coronavirus disease 2019 (COVID‐19), yet the mechanism of this injury is unknown.

• WHAT QUESTION DID THIS STUDY ADDRESS?

We utilized a genetically guided approach to investigate whether polymorphisms in drug metabolizing genes or transporters were associated with alanine aminotransferase (ALT) elevations following remdesivir treatment.

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE

Remdesivir was associated with a 30% increase in peak ALT in patients hospitalized with COVID‐19 which differs by population. Non‐Hispanic White (NHW) individuals with the CYP2C19 intermediate or poor metabolizer phenotype experienced a higher peak ALT than NHW individuals with normal, rapid, or ultrarapid metabolizer phenotype.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

Pharmacogenetic approaches to investigation of severe adverse events may be useful in elucidating the mechanisms of drug metabolism and toxicity.     

Influence of CYP2D6 metabolizer status on ondansetron efficacy in pediatric patients undergoing hematopoietic stem cell transplantation: A case series

Chemotherapy‐induced nausea and vomiting (CINV) is commonly experienced by patients receiving antineoplastic agents prior to hemopoietic stem cell transplant (HSCT). Ondansetron, a 5‐HT3 antagonist metabolized by CYP2D6, is an antiemetic prescribed to treat short‐term CINV, but some patients still experience uncontrolled nausea and vomiting while taking ondansetron. Adult CYP2D6 ultrarapid metabolizers (UMs) are at higher risk for CINV due to rapid ondansetron clearance, but similar studies have not been performed in pediatric patients. We performed a retrospective chart review of 128 pediatric HSCT recipients who received ondansetron for CINV prevention and had CYP2D6 genotyping for 20 alleles and duplication detection. The number of emetic episodes for each patient was collected from the start of chemotherapy through 7 days after HSCT. The average age of the cohort was 6.6 years (range: 0.2–16.7) and included three UMs, 72 normal metabolizers, 47 intermediate metabolizers, and six poor metabolizers. Because UMs are the population at risk for inefficacy, we describe the course of treatment for these three patients, as well as the factors influencing emesis: chemotherapy emetogenicity, diagnosis, and duration of ondansetron administration. The cases described support guidelines recommending non‐CYP2D6 metabolized antiemetics (e.g., granisetron) when a patient is a known CYP2D6 UM, but pediatric studies with a larger sample of CYP2D6 UMs are needed to validate our findings.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

In adults, ondansetron is not as effective for chemotherapy‐induced nausea and vomiting (CINV) in CYP2D6 ultrarapid metabolizers (UMs) compared to non‐UMs. Ondansetron is a medication commonly prescribed to pediatric patients, especially for CINV.

• WHAT QUESTION DID THIS STUDY ADDRESS?

Our study describes the efficacy of ondansetron for CINV in three pediatric CYP2D6 UMs.

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

Pediatric CYP2D6 UMs experienced more emesis when taking ondansetron for CINV on days where they did not receive opioids than expected, similar to findings in adults.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

Based on these findings, at our institution, any patient undergoing a bone marrow transplant that is a CYP2D6 UM will receive granisetron rather than ondansetron; this practice may be applicable to pediatric patients at other institutions.     

Imeglimin population pharmacokinetics and dose adjustment predictions for renal impairment in Japanese and Western patients with type 2 diabetes

Imeglimin is an orally administered first‐in‐class drug to treat type 2 diabetes mellitus (T2DM) and is mainly excreted unchanged by the kidneys. The present study aimed to define the pharmacokinetic (PK) characteristics of imeglimin using population PK analysis and to determine the optimal dosing regimen for Japanese patients with T2DM and chronic kidney disease (CKD). Imeglimin plasma concentrations in Japanese and Western healthy volunteers, and patients with T2DM, including patients with mild to severe CKD with an estimated glomerular filtration rate (eGFR) greater than 14 ml/min/1.73 m² were included in a population PK analysis. PK simulations were conducted using a population PK model, and the area under concentration‐time curve (AUC) was extrapolated with power regression analysis to lower eGFR. The influence of eGFR, weight, and age on apparent clearance and of dose on relative bioavailability were quantified by population PK analysis. Simulations and extrapolation revealed that the recommended dosing regimen based on the AUC was 500 mg twice daily (b.i.d.) for patients with eGFR 15–45 ml/min/1.73 m², and 500 mg with a longer dosing interval was suggested for those with eGFR less than 15. Simulations revealed that differences in plasma AUCs between Japanese and Western patients at the same dose were mainly driven by a difference in the eGFR and that the plasma AUC after 1000 and 1500 mg b.i.d. in Japanese and Western patients, respectively, was comparable in the phase IIb studies. These results indicate suitable dosages of imeglimin in the clinical setting of T2DM with renal impairment.

Study Highlights

• WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

Imeglimin is a first‐in‐class oral agent for the treatment of type 2 diabetes (T2DM) and is excreted unchanged into urine. A Japanese phase IIb study found that 1000 mg b.i.d. was optimal in Japanese population, and phase III studies confirmed significant glucose lowering effect. A Western phase IIb study found an optimal dose of 1500 mg b.i.d.

• WHAT QUESTION DID THIS STUDY ADDRESS?

This study addressed the key determinants of imeglimin pharmacokinetics (PKs), recommended doses for patients with renal impairment, and what drives the different optimal doses between Japanese and Western patients with T2DM.

• WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?

Renal function significantly impacts imeglimin PKs. Recommended doses for patients with renal impairment have been proposed for exposure matching. Differences in estimated glomerular filtration rate (eGFR) comprised the key driver for different optimal doses at which estimated exposures were similar between Japanese and Western patients.

• HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?

Doses of imeglimin could be reduced based on eGFR. Exposure responses seemed similar between Japanese and Western patients.