Rare genetic variant burden in DPYD predicts severe fluoropyrimidine-related toxicity risk

Preemptive targeted pharmacogenetic testing of candidate variations in DPYD is currently being used to limit toxicity associated with fluoropyrimidines. The use of innovative next generation sequencing (NGS) approaches could unveil additional rare (minor allele frequency <1%) genetic risk variants. However, their predictive value and management in clinical practice are still controversial, at least partly due to the challenges associated with functional analyses of rare variants. The aim of this study was to define the predictive power of rare DPYD variants burden on the risk of severe fluoropyrimidine-related toxicity. The DPYD coding sequence and untranslated regions were analyzed by NGS in 120 patients developing grade 3–5 (NCI-CTC vs3.0) fluoropyrimidine-related toxicity and 104 matched controls (no-toxicity). The functional impact of rare variants was assessed using two different in silico predictive tools (i.e., Predict2SNP and ADME Prediction Framework) and structural modeling. Plasma concentrations of uracil (U) and dihydrouracil (UH2) were quantified in carriers of the novel variants. Here, we demonstrate that the burden of rare variants was significantly higher in patients with toxicity compared to controls (p = 0.007, Mann-Whitney test). Carriers of at least one rare missense DPYD variant had a 16-fold increased risk in the first cycle and an 11-fold increased risk during the entire course of chemotherapy of developing a severe adverse event compared to controls (p = 0.013 and p = 0.0250, respectively by multinomial regression model). Quantification of plasmatic U/UH2 metabolites and in silico visualization of the encoded protein were consistent with the predicted functional effect for the novel variations. Analysis and consideration of rare variants by DPYD-sequencing could improve prevention of severe toxicity of fluoropyrimidines and improve patients’ quality of life

Mechanism of baricitinib supports artificial intelligence-predicted testing in COVID-19 patients

Abstract Baricitinib, is an oral Janus kinase (JAK)1/JAK2 inhibitor approved for the treatment of rheumatoid arthritis (RA) that was independently hypothesized, using artificial intelligence (AI)-algorithms, to be useful for the treatment of COVID-19 infection via a proposed anti-cytokine effects and as an inhibitor of host cell viral propagation1,2. We validated the AI-predicted biochemical inhibitory effects of baricitinib on human numb-associated kinase (hNAK) members measuring nanomolar affinities for AAK1, BIKE, and GAK. Inhibition of NAKs led to reduced viral infectivity with baricitinib using human primary liver spheroids, which express hAAK1 and hGAK. We evaluated the in vitro pharmacology of baricitinib across relevant leukocyte subpopulations coupled to its in vivo pharmacokinetics and showed it inhibited signaling of cytokines implicated in COVID-19 infection. In a case series of patients with bilateral COVID-19 pneumonia, baricitinib treatment was associated with clinical and radiologic recovery, a rapid decline in SARS-CoV-2 viral load, inflammatory markers, and IL-6 levels. This represents an important example of an AI-predicted treatment showing scientific and clinical promise during a global health crisis. Collectively, these data support further evaluation of the AI-derived hypothesis on anti-cytokine and anti-viral activity and supports its assessment in randomized trials in hospitalized COVID-19 patients.</jats:p

Incorporating new approach methodologies into regulatory nonclinical pharmaceutical safety assessment

© 2023 The Author(s). ALTEX. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/New approach methodologies (NAMs) based on human biology enable the assessment of adverse biological effects of pharmaceuticals and other chemicals. Currently, however, it is unclear how NAMs should be used during drug development to improve human safety evaluation. A series of 5 workshops with 13 international experts (regulators, preclinical scientists, and NAMs developers) was conducted to identify feasible NAMs and to discuss how to exploit them in specific safety assessment contexts. Participants generated four “maps” of how NAMs can be exploited in the safety assessment of the liver, respiratory, cardiovascular, and central nervous systems. Each map shows relevant endpoints measured and tools used (e.g., cells, assays, platforms), and highlights gaps where further development and validation of NAMs remains necessary. Each map addresses the fundamental scientific requirements for the safety assessment of that organ system, providing users with guidance on the selection of appropriate NAMs. In addition to generating the maps, participants offered suggestions for encouraging greater NAM adoption within drug development and their inclusion in regulatory guidelines. A specific recommendation was that pharmaceutical companies should be more transparent about how they use NAMs in-house. As well as giving guidance for the four organ systems, the maps provide a template that could be used for additional organ safety testing contexts. Moreover, their conversion to an interactive format would enable users to drill down to the detail necessary to answer specific scientific and regulatory questions.Peer reviewe

Incorporating new approach methodologies into regulatory nonclinical pharmaceutical safety assessment

New approach methodologies (NAMs) based on human biology enabletheassessment of adverse biological effects of pharmaceuticals and other chemicals. Currently,however, it is unclear how NAMsshould be usedduring drug development to improve human safety evaluation. A series of 5 workshops with 13 international experts (regulators, preclinical scientists and NAMs developers) were conducted to identify feasible NAMsand to discuss how to exploit them in specific safety assessmentcontexts. Participants generated four‘maps’of how NAMs can be exploited in the safety assessment ofthe liver, respiratory, cardiovascular,and central nervous systems. Each map showsrelevant end points measured, tools used (e.g.,cells, assays, platforms), and highlights gaps where furtherdevelopment and validation of NAMs remainsnecessary. Each map addresses the fundamental scientific requirements for the safety assessment of that organ system, providing users with guidance on the selection of appropriate NAMs. In addition to generating the maps, participants offered suggestions for encouraging greater NAM adoption within drug development and their inclusion in regulatory guidelines. A specific recommendation was that pharmaceutical companies should be more transparent about how they use NAMs in-house. As well as giving guidance for the fourorgan systems, the maps providea template that could be used for additional organ safety testing contexts.Moreover, their conversion to an interactive format would enable users to drill down to the detail necessary to answer specific scientific and regulatory questions. 1IntroductionExtensive nonclinical safety studies are undertaken on new pharmaceuticals prior to and alongside clinical trials. Their purpose is to identify and understand the toxic effects of thecompoundin order to determine whether its anticipated benefit versusrisk profile justifies clinical evaluation and, if so, to inform the design and monitoring of clinical studies. The nonclinical safety studies are mandated by regulatory guidelines and include a variety of safety pharmacologyand toxicology investigations.Safety pharmacology studies aimto determinewhether pharmaceuticalscause on-or off-target effects on biological processes which can affect the function of critical organ systems (e.g.,cardiovascular, respiratory, gastrointestinal,and central nervous systems)and to assess potency, which is needed to assess safety margins versushuman clinical drug exposure. Safety pharmacology studiesalso help informthe selectionof follow-on investigations that can aid human risk assessmentand may provide insight into mechanismswhich underlie any effectsthat arise in humans.Multiple leading pharmaceutical companies (e.g.,AstraZeneca, GlaxoSmithKline, Novartis,and Pfizer) have outlined the advantages provided by in vitrosafety pharmacological profiling, including early identification of off-target interactionsandthe prediction ofclinical side effects that may be missed in animalstudies, and have highlighted that these studies enable much more cost-effective and rapid profiling of large numbers of compounds than animal procedures (Bowes et al., 2012).Toxicology studies evaluate systemic organ toxicities, behavioraleffects, reproductive and developmental toxicology, genetic toxicology,eye irritancy and dermal sensitization. They include single and repeat dose studies in rodent and non-rodentanimal species, which identify target organs, assessseverity andreversibility,and define dose-response and no observed adverse effect levels. These are critical parameters which are essential for regulatory decision-makingon whether the compound can be progressed into clinical trials and if so, estimation ofa suitable starting dose,maximum dose, dose escalation regime,andany non-standard clinical safety monitoringthat may be needed.Toxicity observedinnonclinical animal safety studies is an important cause of the high attrition rate of candidate drugs prior to clinicaltrials that occurs inmultiple pharmaceutical companies(Cook et al., 2014).However, many drugs cause clinically serious adverseeffects in humans which are not detectedin animals(Bailey et al., 2015). For example, human drug induced liver injury(DILI),which is not detected in animal safety studies,is animportant cause of attrition late in clinical development, failed licensing and/or of restrictive drug labelling(Watkins, 2011). Attrition due to toxicity observed in animals and/or in humans isanimportant cause of the high failure rate of clinical drug development(Cook et al., 2014; Watkins, 2011; Thomas et al., 2021).New approach methodologies (NAMs)includemethods which predict and evaluate biological processes by which pharmaceuticals may elicit desirable pharmacological effects and/or may cause undesirable toxicity. Many different types of NAMs have been described. Theseinclude simple in vitrocell-based tests, more complex organotypic or microphysiologicalsystems (MPS)/organ-on-a-chipdevices,and whole human tissuesmaintained ex vivo. Interpretation ofthe invivorelevance of the data providedby these methods is complementedbycomputational toolswhichsimulate and predict in vivodrug disposition and kinetics, in particular physiologically based pharmacokinetic (PBPK) models. Accurate in vitroto in vivoextrapolation isfurther aided by human low-dose testing and microdosing studies (phase 0 testing), which provide precise data on systemic human drug exposure and kineticsin vivo

Public Health Impact and Cost-Effectiveness of Hepatitis A Vaccination in the United States: A Disease Transmission Dynamic Modeling Approach

Objective: To assess the population-level impact and costeffectiveness of hepatitis A vaccination programs in the United States. Methods: We developed an age-structured population model of hepatitis A transmission dynamics to evaluate two policies of administering a twodose hepatitis A vaccine to children aged 12 to 18 months: 1) universal routine vaccination as recommended by the Advisory Committee on Immunization Practices in 2006 and 2) Advisory Committee on Immunization Practices&apos;s previous regional policy of routine vaccination of children living in states with high hepatitis A incidence. Inputs were obtained from the published literature, public sources, and clinical trial data. The model was fitted to hepatitis A seroprevalence (National Health and Nutrition Examination Survey II and III) and reported incidence from the National Notifiable Diseases Surveillance System (1980)(1981)(1982)(1983)(1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995). We used a societal perspective and projected costs (in 2013 US $), qualityadjusted life-years, incremental cost-effectiveness ratio, and other outcomes over the period 2006 to 2106. Results: On average, universal routine hepatitis A vaccination prevented 259,776 additional infections, 167,094 outpatient visits, 4781 hospitalizations, and 228 deaths annually. Compared with the regional vaccination policy, universal routine hepatitis A vaccination was cost saving. In scenario analysis, universal vaccination prevented 94,957 infections, 46,179 outpatient visits, 1286 hospitalizations, and 15 deaths annually and had an incremental cost-effectiveness ratio of$21,223/quality-adjusted life-year when herd protection was ignored. Conclusions: Our model predicted that universal childhood hepatitis A vaccination led to significant reductions in hepatitis A mortality and morbidity. Consequently, universal vaccination was cost saving compared with a regional vaccination policy. Herd protection effects of hepatitis A vaccination programs had a significant impact on hepatitis A mortality, morbidity, and cost-effectiveness ratios

Mechanism of baricitinib supports artificial intelligence-predicted testing in COVID-19 patients

Baricitinib, is an oral Janus kinase (JAK)1/JAK2 inhibitor approved for the treatment of rheumatoid arthritis (RA) that was independently predicted, using artificial intelligence (AI)-algorithms, to be useful for COVID-19 infection via a proposed anti-cytokine effects and as an inhibitor of host cell viral propagation. We evaluated the in vitro pharmacology of baricitinib across relevant leukocyte subpopulations coupled to its in vivo pharmacokinetics and showed it inhibited signaling of cytokines implicated in COVID-19 infection. We validated the AI-predicted biochemical inhibitory effects of baricitinib on human numb-associated kinase (hNAK) members measuring nanomolar affinities for AAK1, BIKE, and GAK. Inhibition of NAKs led to reduced viral infectivity with baricitinib using human primary liver spheroids. These effects occurred at exposure levels seen clinically. In a case series of patients with bilateral COVID-19 pneumonia, baricitinib treatment was associated with clinical and radiologic recovery, a rapid decline in SARS-CoV-2 viral load, inflammatory markers, and IL-6 levels. Collectively, these data support further evaluation of the anti-cytokine and anti-viral activity of baricitinib and supports its assessment in randomized trials in hospitalized COVID-19 patients

Human resident liver myeloid cells protect against metabolic stress in obesity

Although multiple populations of macrophages have been described in the human liver, their function and turnover in patients with obesity at high risk of developing non-alcoholic fatty liver disease (NAFLD) and cirrhosis are currently unknown. Herein, we identify a specific human population of resident liver myeloid cells that protects against the metabolic impairment associated with obesity. By studying the turnover of liver myeloid cells in individuals undergoing liver transplantation, we find that liver myeloid cell turnover differs between humans and mice. Using single-cell techniques and flow cytometry, we determine that the proportion of the protective resident liver myeloid cells, denoted liver myeloid cells 2 (LM2), decreases during obesity. Functional validation approaches using human 2D and 3D cultures reveal that the presence of LM2 ameliorates the oxidative stress associated with obese conditions. Our study indicates that resident myeloid cells could be a therapeutic target to decrease the oxidative stress associated with NAFLD

JAK inhibition reduces SARS-CoV-2 liver infectivity and modulates inflammatory responses to reduce morbidity and mortality

Using AI, we identified baricitinib as having antiviral and anticytokine efficacy. We now show a 71% (95% CI 0.15 to 0.58) mortality benefit in 83 patients with moderate-severe SARS-CoV-2 pneumonia with few drug-induced adverse events, including a large elderly cohort (median age, 81 years). An additional 48 cases with mild-moderate pneumonia recovered uneventfully. Using organotypic 3D cultures of primary human liver cells, we demonstrate that interferon-α2 increases ACE2 expression and SARS-CoV-2 infectivity in parenchymal cells by greater than fivefold. RNA-seq reveals gene response signatures associated with platelet activation, fully inhibited by baricitinib. Using viral load quantifications and superresolution microscopy, we found that baricitinib exerts activity rapidly through the inhibition of host proteins (numb-associated kinases), uniquely among antivirals. This reveals mechanistic actions of a Janus kinase-1/2 inhibitor targeting viral entry, replication, and the cytokine storm and is associated with beneficial outcomes including in severely ill elderly patients, data that incentivize further randomized controlled trials

Pharmacogenetic allele nomenclature: International workgroup recommendations for test result reporting

This manuscript provides nomenclature recommendations developed by an international workgroup to increase transparency and standardization of pharmacogenetic (PGx) result reporting. Presently, sequence variants identified by PGx tests are described using different nomenclature systems. In addition, PGx analysis may detect different sets of variants for each gene, which can affect interpretation of results. This practice has caused confusion and may thereby impede the adoption of clinical PGx testing. Standardization is critical to move PGx forward

Exhaustive exercise training enhances aerobic capacity in American alligator (Alligator mississippiensis)

The oxygen transport system in mammals is extensively remodelled in response to repeated bouts of activity, but many reptiles appear to be ‘metabolically inflexible’ in response to exercise training. A recent report showed that estuarine crocodiles (Crocodylus porosus) increase their maximum metabolic rate in response to exhaustive treadmill training, and in the present study, we confirm this response in another crocodilian, American alligator (Alligator mississippiensis). We further specify the nature of the crocodilian training response by analysing effects of training on aerobic [citrate synthase (CS)] and anaerobic [lactate dehydrogenase (LDH)] enzyme activities in selected skeletal muscles, ventricular and skeletal muscle masses and haematocrit. Compared to sedentary control animals, alligators regularly trained for 15 months on a treadmill (run group) or in a flume (swim group) exhibited peak oxygen consumption rates higher by 27 and 16%, respectively. Run and swim exercise training significantly increased ventricular mass (~11%) and haematocrit (~11%), but not the mass of skeletal muscles. However, exercise training did not alter CS or LDH activities of skeletal muscles. Similar to mammals, alligators respond to exercise training by increasing convective oxygen transport mechanisms, specifically heart size (potentially greater stroke volume) and haematocrit (increased oxygen carrying-capacity of the blood). Unlike mammals, but similar to squamate reptiles, alligators do not also increase citrate synthase activity of the skeletal muscles in response to exercise