Safety and efficacy of ivacaftor in infants aged 1 to less than 4 months with cystic fibrosis.

BACKGROUND: Ivacaftor (IVA) has been shown to be safe and efficacious in children aged ≥4 months with cystic fibrosis (CF) and CFTR gating variants. We evaluated safety, pharmacokinetics (PK), and efficacy of IVA in a small cohort of infants aged 1 to <4 months with CF. METHODS: In this phase 3, open-label study, infants 1 to <4 months with CF and an IVA-responsive CFTR variant received an initial low dose of IVA based on age and weight. Because IVA is a sensitive CYP3A substrate and CYP3A maturation is uncertain in infants, doses were adjusted at day 15 to better match median adult exposures based on individual PK measurements taken on day 4. Primary endpoints were safety and PK measurements. RESULTS: Seven infants (residual function CFTR variants [n=5]; minimal function CFTR variants [n=2]) received ≥1 dose of IVA. Six infants had doses adjusted at day 15 and one infant did not require dose adjustment; subsequent PK analyses showed mean trough concentrations for IVA and metabolites were within range of prior clinical experience. Four infants (57.1%) had adverse events (AEs); no serious AEs were noted. One infant discontinued study drug due to a non-serious AE of elevated alanine aminotransferase >8x the upper limit of normal. Mean sweat chloride concentration decreased (-40.3 mmol/L [SD: 29.2]) through week 24. Improvements in biomarkers of pancreatic function and intestinal inflammation, as well as growth parameters, were observed. CONCLUSIONS: In this small, open-label study, IVA dosing in infants achieved exposures previously shown to be safe and efficacious. Because PK was predictable, a dosing regimen based on age and weight is proposed. IVA was generally safe and well tolerated, and led to improvements in CFTR function, markers of pancreatic function and intestinal inflammation, and growth parameters, supporting use in infants as young as 1 month of age.

Registry-based study in people with cystic fibrosis and an R117H variant treated with ivacaftor.

BACKGROUND: Ivacaftor approval was extended to people with cystic fibrosis (CF) and an R117H variant in 2014 in the USA. This observational, real-world, postapproval study evaluated long-term outcomes among people with CF and an R117H variant on ivacaftor using data from the US Cystic Fibrosis Foundation Patient Registry. METHODS: Key outcomes were evaluated in ivacaftor-treated people with CF and an R117H variant for up to 36 months before and after treatment initiation using within-group comparisons. Analyses were descriptive in nature, focused on evaluation of observed outcome patterns over time and were performed both overall and for age groups ≥2 to <6 years, ≥6 to <18 years and ≥18 years. Key outcomes included lung function, body mass index (BMI), pulmonary exacerbations (PEx) and hospitalisations. RESULTS: The ivacaftor cohort included 369 people with CF and an R117H variant who initiated therapy between 1 January 2015 and 31 December 2016. During each of the 12-month intervals following treatment initiation, the mean observed percent predicted forced expiratory volume in 1 s (ppFEV1) and BMI values were higher and the mean annualised number of PEx and hospitalisation events were lower than pretreatment values. Mean change in ppFEV1 from pretreatment baseline was an increase of 1.5 (95% CI 0.8 to 2.3), 1.7 (95% CI 0.7 to 2.7) and 1.8 (95% CI 0.6 to 3.0) percentage points in the first, second and third years of treatment, respectively. Similar trends were observed in adult and paediatric subgroups. CONCLUSIONS: The results support the clinical effectiveness of ivacaftor in people with CF and an R117H variant, including adult and paediatric subgroups.

Long-term tezacaftor/ivacaftor safety and efficacy in people with cystic fibrosis and an F508del-CFTR mutation: 96-week, open-label extension of the EXTEND trial.

BACKGROUND: Study 661-110 (EXTEND) is a phase 3, open-label, three-part rollover study designed to assess the long-term safety and efficacy of tezacaftor/ivacaftor (TEZ/IVA) in participants aged ≥12 years homozygous for F508del (F/F) or heterozygous for F508del and a residual function mutation (F/RF). TEZ/IVA was shown to be safe and efficacious for up to 120 weeks in Part A. Here we report results from Part B, which evaluated safety and efficacy for an additional 96 weeks. METHODS: Part B enrolled participants aged ≥12 years with CF and F/F or F/RF genotypes who completed TEZ/IVA treatment in either Study 661-110 Part A, Study 661-112 (F/F), or Study 661-114 (F/F). Participants received TEZ 100 mg/IVA 150 mg fixed-dose combination once daily (morning) and IVA 150 mg once daily (evening) for 96 weeks. Safety endpoints included adverse events (AEs) and serum liver function tests. Efficacy endpoints included absolute change from baseline in percent predicted forced expiratory volume in 1 second (ppFEV1) and pulmonary exacerbation (PEx) rate. RESULTS: 464 participants were enrolled from Part A (n=377) and other eligible studies (n=87); 463 received ≥1 dose of TEZ/IVA. Overall, 92.2% had ≥1 AE, 0.9% had AEs leading to treatment discontinuation, and 29.4% reported serious AEs. The most common AEs, which were generally consistent with common manifestations of CF, included infective PEx of CF, cough, nasopharyngitis, hemoptysis, and headache. Lung function was maintained over 96 weeks in both genotype groups. PEx rates per year were comparable with Part A. CONCLUSIONS: TEZ/IVA was generally safe and well tolerated over a further 96 weeks; safety data were consistent with Part A. Improvements in ppFEV1 and PEx rates were maintained for an additional 96 weeks in Part B.

A Phase 3, open-label, 96-week trial to study the safety, tolerability, and efficacy of tezacaftor/ivacaftor in children ≥ 6 years of age homozygous for F508del or heterozygous for F508del and a residual function CFTR variant.

BACKGROUND: Two previous Phase 3 studies ("parent studies") showed that tezacaftor/ivacaftor was generally safe and efficacious for up to 24 weeks in children 6 through 11 years of age with cystic fibrosis (CF) and F508del/F508del (F/F) or F508del/residual function (F/RF) genotypes. We assessed the safety and efficacy of tezacaftor/ivacaftor in an open-label, 96-week extension study. METHODS: This was a Phase 3, 2-part, multicenter, open-label, extension study in children 6 through 11 years of age at treatment initiation (Study VX17-661-116; NCT03537651). The primary endpoint was safety and tolerability. Secondary endpoints were absolute change from baseline in lung clearance index2.5 (LCI2.5), sweat chloride (SwCl) concentration, Cystic Fibrosis Questionnaire-Revised (CFQ-R) respiratory domain score, and body mass index (BMI). RESULTS: One-hundred thirty children enrolled and received ≥ 1 dose of tezacaftor/ivacaftor; 109 completed treatment. Most (n = 129) had ≥ 1 treatment-emergent adverse event (TEAE), the majority of which were mild or moderate in severity and generally consistent with common manifestations of CF. Exposure-adjusted TEAE rates were similar to or lower than those in the parent studies. Five (3.8%) had TEAEs leading to treatment discontinuation. Efficacy results from the parent studies were maintained, with improvements in lung function, SwCl concentration, CFQ­R respiratory domain score, and BMI observed from parent study baseline to Week 96. CONCLUSIONS: Tezacaftor/ivacaftor is generally safe and well tolerated, and treatment effects are maintained for up to 120 weeks. These results support long-term use of tezacaftor/ivacaftor in children ≥ 6 years of age with CF and F/F or F/RF genotypes.

Current Trends in Ligand Binding Real-Time Measurement Technologies.

Numerous advances in ligand binding assay (LBA) real-time measurement technologies have been made within the last several years, ranging from the development of novel platforms to drive technology expansion to the adaptation of existing platforms to optimize performance and throughput. In this review, we have chosen to focus on technologies that provide increased value to two distinct segments of the LBA community. First, experimentally, by measuring real-time binding events, these technologies provide data that can be used to interrogate receptor/ligand binding interactions. While overall the platforms are not new, they have made significant advances in throughput, multiplexing, and/or sensitivity. Second, clinically, these point-of-care (POC) technologies provide instantaneous information which facilitates rapid treatment decisions.

2015 White Paper on recent issues in bioanalysis: focus on new technologies and biomarkers (Part 3--LBA, biomarkers and immunogenicity).

The 2015 9th Workshop on Recent Issues in Bioanalysis (9th WRIB) took place in Miami, Florida with participation of 600 professionals from pharmaceutical and biopharmaceutical companies, biotechnology companies, contract research organizations and regulatory agencies worldwide. WRIB was once again a 5 day, week-long event - A Full Immersion Bioanalytical Week - specifically designed to facilitate sharing, reviewing, discussing and agreeing on approaches to address the most current issues of interest in bioanalysis. The topics covered included both small and large molecules, and involved LCMS, hybrid LBA/LCMS and LBA approaches, including the focus on biomarkers and immunogenicity. This 2015 White Paper encompasses recommendations emerging from the extensive discussions held during the workshop, and is aimed to provide the bioanalytical community with key information and practical solutions on topics and issues addressed, in an effort to enable advances in scientific excellence, improved quality and better regulatory compliance. Due to its length, the 2015 edition of this comprehensive White Paper has been divided into three parts. Part 3 discusses the recommendations for large molecule bioanalysis using LBA, biomarkers and immunogenicity. Part 1 (small molecule bioanalysis using LCMS) and Part 2 (hybrid LBA/LCMS and regulatory inputs from major global health authorities) have been published in volume 7, issues 22 and 23 of Bioanalysis, respectively.

A multifactorial screening strategy to identify anti-idiotypic reagents for bioanalytical support of antibody therapeutics.

Antibodies are critical tools for protein bioanalysis; their quality and performance dictate the caliber and robustness of ligand binding assays. After immunization, polyclonal B cells generate a diverse antibody repertoire against constant and variable regions of the therapeutic antibody immunogen. Herein we describe a comprehensive and multifactorial screening strategy to eliminate undesirable constant region-specific antibodies and select for anti-idiotypic antibodies with specificity for the unique variable region. Application of this strategy is described for the therapeutic antibody Mab-A case study. Five different factors were evaluated to select a final antibody pair for the quantification of therapeutics in biological matrices: (i) matrix effect in preclinical and clinical matrices, (ii) assay sensitivity with lower limit of quantification goal of single-digit ng/ml (low pM) at a signal-to-background ratio greater than 5, (iii) epitope distinction or nonbridging antibody pair, (iv) competition with target and inhibitory capacity enabling measurement of free drug, and (v) neutralizing bioactivity using bioassay. The selected antibody pair demonstrated superior assay sensitivity with no or minimal matrix effect in common biological samples, recognized two distinct binding epitopes on the therapeutic antibody variable region, and featured inhibitory and neutralizing effects with respect to quantification of free drug levels.

Strategic approaches for assessment and minimization of matrix effect in ligand-binding assays.

BACKGROUND: Although substantial advances have been made in ligand-binding assays (LBA) for biotherapeutics in the past decade, there are still gaps that need to be addressed, especially in the context of understanding matrix effect and its root causes. Critical and in-depth characterization of matrix effect can provide valuable knowledge of the LBA limitations for proper results interpretation. RESULTS: This article illustrates several strategic approaches with regard to identifying the root cause of matrix effect and practical solutions, including recognizing the confounding factors associated with matrix effect, selection of proper reagents to avoid matrix effect, and a systematic approach in dealing with matrix effect in method development and validation. CONCLUSION: These strategic approaches have enhanced the management of matrix effect in LBA.

A practical approach to automate randomized design of experiments for ligand-binding assays.

BACKGROUND: Design of experiments (DOE) is utilized in optimizing ligand-binding assay by modeling factor effects. To reduce the analyst's workload and error inherent with DOE, we propose the integration of automated liquid handlers to perform the randomized designs. RESULTS: A randomized design created from statistical software was imported into custom macro converting the design into a liquid-handler worklist to automate reagent delivery. An optimized assay was transferred to a contract research organization resulting in a successful validation. CONCLUSION: We developed a practical solution for assay optimization by integrating DOE and automation to increase assay robustness and enable successful method transfer. The flexibility of this process allows it to be applied to a variety of assay designs.

2013 White Paper on recent issues in bioanalysis: 'hybrid'--the best of LBA and LCMS.

The 2013 7th Workshop on Recent Issues in Bioanalysis was held in Long Beach, California, USA, where close to 500 professionals from pharmaceutical and biopharmaceutical companies, CROs and regulatory agencies convened to discuss current topics of interest in bioanalysis. These 'hot' topics, which covered both small and large molecules, were the starting point for fruitful exchanges of knowledge, and sharing of ideas among speakers, panelists and attendees. The discussions led to specific recommendations pertinent to bioanalytical science. Such as the previous editions, this 2013 White Paper addresses important bioanalytical issues and provides practical answers to the topics presented, discussed and agreed upon by the global bioanalytical community attending the 7th Workshop on Recent Issues in Bioanalysis.

Automating bioanalytical sample analysis through enhanced system integration.

BACKGROUND: In the bioanalytical laboratory, challenges associated with manual, repetitive, labor-intensive processes can be addressed by powerful automated liquid handlers; however, their implementation has been difficult due to lack of efficient integration into laboratory workflows. Faster throughput is afforded to ligand binding assay (LBA) technologies via enhanced automation, but the upstream sample processing still remains a bottleneck. To be truly efficient, these technologies must be incorporated into a laboratory information management system (LIMS) to streamline data analysis and reporting. RESULTS: Three off-the-shelf technologies that aid in improving bioanalytical laboratory efficiencies were utilized with minimal customization to streamline the sample analysis process. Information extracted via a sequence file from the LIMS run was utilized to perform the sample processing on the automated liquid handler. A file conversion tool converted the sequence files that allowed for sample processing and preparing the assay ready plate. The plate was then transferred to the LBA microfluidics platform to run the experiments. The integration was tested using a LBA PK assay that demonstrated good sample dilution and assay performance. CONCLUSION: We successfully integrated LIMS with an automated liquid handler and a microfluidics platform to automate the sample analysis process in the bioanalytical laboratory. The utilization of off-the-shelf technologies with minimal customization requires minimal resources from laboratory scientists. It may be possible to implement this approach for other analytical platforms.

Specific method validation and sample analysis approaches for biocomparability studies of denosumab addressing method and manufacture site changes.

Manufacturing changes during a biological drug product life cycle occur often; one common change is that of the manufacturing site. Comparability studies may be required to ensure that the changes will not affect the pharmacokinetic properties of the drug. In addition, the bioanalytical method for sample analysis may evolve during the course of drug development. This paper illustrates the scenario of both manufacturing and bioanalytical method changes encountered during the development of denosumab, a fully human monoclonal antibody which inhibits bone resorption by targeting RANK Ligand. Here, we present a rational approach to address the bioanalytical method changes and provide considerations for method validation and sample analysis in support of biocomparability studies. An updated and improved ELISA method was validated, and its performance was compared to the existing method. The analytical performances, i.e., the accuracy and precision of standards and validation samples prepared from both manufacturing formulation lots, were evaluated and found to be equivalent. One of the lots was used as the reference standard for sample analysis of the biocomparability study. This study was sufficiently powered using a parallel design. The bioequivalence acceptance criteria for small molecule drugs were adopted. The pharmacokinetic parameters of the subjects dosed with both formulation lots were found to be comparable.

Implementation of a universal analytical method in early-stage development of human antibody therapeutics: application to pharmacokinetic assessment for candidate selection.

BACKGROUND: Effective bioanalytical support for pharmacokinetic assessment of therapeutics in early development remains challenging. Concurrent evaluation of multiple candidates per program is typical, requiring efficient characterization in various preclinical species; an ambitious effort often complicated by assay reagent unavailability and limited sample volume. Accordingly, a universal anti-human Fc assay for human monoclonal antibody and derived therapeutics was developed using a microfluidics platform to address these bioanalytical challenges. RESULTS: The universal assay with standardized format was qualified for quantitation of human IgG Fc-containing biotherapeutics in matrices from commonly used preclinical species. Results from this assay compared well with those from traditional colorimetric immunoassays. Furthermore, result comparison between the universal and target-specific assays provided additional information on the effect of antidrug antibodies and in vivo drug catabolism. CONCLUSION: This assay has wide applicability as a default bioanalytical approach in therapeutic candidate selection and preliminary pharmacokinetics evaluation during early-stage therapeutic development.

Method transfer for ligand-binding assays: recommendations for best practice.

To support clinical trials, bioanalytical methods are often transferred from one laboratory to another. With the rising number of large-molecule therapeutic proteins submitted for US FDA approval, the demand for large-molecule bioanalytical support and, subsequently, method transfer increases. Ligand-binding assays are the methods most commonly used to quantify endogenous and therapeutic proteins for the assessment of biomarkers and pharmacokinetic parameters. The goal of this review is to provide an overview of ligand-binding assay method transfer, essential parameters for partial method validation and to lay out a strategy to increase the chance of success. The recommendations herein are based on a summary of current publications and the authors' specific experiences, to help increase workload efficiency, maintain positive collaborations with partners and meet program timelines.

Intensive Care Unit Insulin Delivery Algorithms: Why So Many? How to Choose?

OBJECTIVE: Studies showing improved outcomes with tight glycemic control in the intensive care unit (ICU) have resulted in a substantial number of new insulin delivery algorithms being proposed. The present study highlights mechanisms used in the better-known approaches, examines what might be critical differences among them, and uses systems theory to characterize the conditions under which each can be expected to perform best. METHODS: Algorithm dose (DeltaI/DeltaG) and step (response to a persistent elevation in glucose) response curves were calculated for written instruction algorithms, developed at the Providence Heart and Vascular Institute (Portland [P] protocol), the University of Washington (UW), and Yale University (Y), together with similar curves for the Glucommander (GM) and proportional integral derivative (PID) computer algorithms. From the simulated curves, different mechanisms used to adjust insulin delivery were identified. RESULTS: All algorithms increased insulin delivery in response to persistent hyperglycemia, but the mechanism used altered the algorithm's sensitivity to glucose, or gain, in the GM, UW, and Y protocols, while leaving it unchanged for the P protocol and PID algorithm. CONCLUSIONS: The increase in insulin delivery in response to persistent hyperglycemia observed with all the algorithms can be expected to bring subjects who respond to insulin to targeted glucose ranges. However, because the PID and P protocols did not alter the insulin delivery response curves, these algorithms can be expected to take longer to achieve target glucose levels in individuals who are insulin resistant and/or are exposed to increased carbohydrate loads (e.g., glucose infusions). By contrast, the GM, UW, and Y algorithms can be expected to adapt to the insulin resistance such that the time to achieve target levels is unchanged if the time for insulin to act does not change. If the insulin resistance is accompanied by a longer time for insulin to act, the UW, Y, and GM algorithms may increase the risk of hypoglycemia. Under these conditions, the longer time required for the PID and P protocols to achieve a target glucose level may be a reasonable trade-off for no increase in the risk of hypoglycemia.

Synchronous parathyroid carcinoma, parathyroid adenoma, and papillary thyroid carcinoma in a patient with severe and long-standing hyperparathyroidism.

OBJECTIVE: To describe a patient presenting with the rare constellation of synchronous parathyroid carcinoma, parathyroid adenoma, and papillary thyroid carcinoma. METHODS: We summarize the clinical presentation, diagnostic work-up, surgical management, and pathologic features of our patient and review the pertinent literature. RESULTS: The patient was a 59-year-old man who presented with severe clinical manifestations of long-standing primary hyperparathyroidism, a serum calcium concentration of 14.4 mg/dL, and a parathyroid hormone level of 2,023 pg/mL. He was found to have a 3.4-cm parathyroid carcinoma on the left side and a 3.2-cm papillary carcinoma in the right thyroid lobe. In addition, a 917-mg parathyroid adenoma was found on the right side. CONCLUSION: Synchronous parathyroid and thyroid carcinomas are extremely rare. To our knowledge, our patient is the first documented case with a parathyroid adenoma in addition to synchronous parathyroid and thyroid carcinomas. The presence of concurrent parathyroid carcinoma and parathyroid adenoma can cause diagnostic confusion and should be considered in patients presenting with severe hyperparathyroidism. Any concomitant thyroid nodules must be investigated to rule out thyroid carcinoma.

Thyroid function in the critically ill newborn and child.

PURPOSE OF REVIEW: Here we review typical thyroid function alterations observed in the critically ill pediatric patient. RECENT FINDINGS: Abnormalities in the hypothalamic-pituitary-thyroid axis have recently been confirmed to be prevalent in similar proportions in pediatric and adult patients. Significant benefits of therapy have yet to be demonstrated. SUMMARY: At present, there is no evidence of benefit in giving thyroid hormone to patients with nonthyroidal illness who have low serum T3 or T4 concentrations, including preterm infants and postcardiac surgery patients.

Insulin signaling in alpha cells modulates glucagon secretion in vivo.

Glucagon plays an important role in glucose homeostasis by regulating hepatic glucose output in both normo- and hypoglycemic conditions. In this study, we created and characterized alpha cell-specific insulin receptor knockout (alphaIRKO) mice to directly explore the role of insulin signaling in the regulation of glucagon secretion in vivo. Adult male alphaIRKO mice exhibited mild glucose intolerance, hyperglycemia, and hyperglucagonemia in the fed state and enhanced glucagon secretion in response to L-arginine stimulation. Hyperinsulinemic-hypoglycemic clamp studies revealed an enhanced glucagon secretory response and an abnormal norepinephrine response to hypoglycemia in alphaIRKO mice. The mutants also exhibited an age-dependent increase in beta cell mass. Furthermore, siRNA-mediated knockdown of insulin receptor in glucagon-secreting InR1G cells promoted enhanced glucagon secretion and complemented our in vivo findings. Together, these data indicate a significant role for intraislet insulin signaling in the regulation of alpha cell function in both normo- and hypoglycemic conditions.

Application of multi-factorial design of experiments to successfully optimize immunoassays for robust measurements of therapeutic proteins.

Developing a process that generates robust immunoassays that can be used to support studies with tight timelines is a common challenge for bioanalytical laboratories. Design of experiments (DOEs) is a tool that has been used by many industries for the purpose of optimizing processes. The approach is capable of identifying critical factors and their interactions with a minimal number of experiments. The challenge for implementing this tool in the bioanalytical laboratory is to develop a user-friendly approach that scientists can understand and apply. We have successfully addressed these challenges by eliminating the screening design, introducing automation, and applying a simple mathematical approach for the output parameter. A modified central composite design (CCD) was applied to three ligand binding assays. The intra-plate factors selected were coating, detection antibody concentration, and streptavidin-HRP concentrations. The inter-plate factors included incubation times for each step. The objective was to maximize the logS/B (S/B) of the low standard to the blank. The maximum desirable conditions were determined using JMP 7.0. To verify the validity of the predictions, the logS/B prediction was compared against the observed logS/B during pre-study validation experiments. The three assays were optimized using the multi-factorial DOE. The total error for all three methods was less than 20% which indicated method robustness. DOE identified interactions in one of the methods. The model predictions for logS/B were within 25% of the observed pre-study validation values for all methods tested. The comparison between the CCD and hybrid screening design yielded comparable parameter estimates. The user-friendly design enables effective application of multi-factorial DOE to optimize ligand binding assays for therapeutic proteins. The approach allows for identification of interactions between factors, consistency in optimal parameter determination, and reduced method development time.