Statistical considerations for assessing precision of heterogeneous duplicate measurements: An application to pharmaceutical bioanalysis.

Duplicate analysis is a strategy commonly used to assess precision of bioanalytical methods. In some cases, duplicate analysis may rely on pooling data generated across organizations. Despite being generated under comparable conditions, organizations may produce duplicate measurements with different precision. Thus, these pooled data consist of a heterogeneous collection of duplicate measurements. Precision estimates are often expressed as relative difference indexes (RDI), such as relative percentage difference (RPD). Empirical evidence indicates that the frequency distribution of RDI values from heterogeneous data exhibits sharper peaks and heavier tails than normal distributions. Therefore, traditional normal-based models may yield faulty or unreliable estimates of precision from heterogeneous duplicate data. In this paper, we survey application of the mixture models that satisfactorily represent the distribution of RDI values from heterogeneous duplicate data. A simulation study was conducted to compare the performance of the different models in providing reliable estimates and inferences of percentile calculated from RDI values. These models are readily accessible to practitioners for study implementation through the use of modern statistical software. The utility of mixture models are explained in detail using a numerical example.

Modeling immunogenecity data to establish screening bioassays cut point.

The response of immunogenecity anti-drug antibody (ADA) generally includes biological and analytical variability. The nature of biological and analytical variations may lead to a variety of symmetric and asymmetric ADA data. As a result, current statistical methods may yield unreliable results because these methods assume special types of symmetric or asymmetric ADA data. In this paper, we survey and compare parametric models that are useful for analyzing a variety of asymmetric data that have rarely been used to calculate assay cut points. These models include symmetric distributions as limiting case; therefore, they are useful in the analysis of a variety of symmetric data. We also investigate two nonparametric approaches that have received little attention in screening cut point calculations. A simulation study was conducted to compare the performance of the methods. We evaluate the methods using four published different types of data, and make recommendations concerning the use of the methods.

Development, validation, and implementation of a robust and quality control-friendly focused peptide mapping method for monitoring oxidation of co-formulated monoclonal antibodies.

Monoclonal antibody (mAb) coformulation containing two therapeutic proteins provides benefits of improved therapeutic efficacy and better patient compliance. Monitoring of the individual mAb stability in the coformulation is critical to ensure its quality and safety. Among post-translational modifications (PTMs), oxidation is often considered as one of the critical quality attributes (CQAs) as it potentially affects the structure and potency. Although hydrophobic interaction chromatography (HIC) and reversed phase liquid chromatography (RPLC) have been used to monitor overall protein oxidation, mass spectrometry of peptide digests resolved by LC methods can afford superior selectivity and sensitivity for specific PTMs. With the advent of the Quadrupole Dalton (QDa) mass spectrometer as an affordable add-on detector, implementation of targeted oxidation assays in development and quality control (QC) laboratories is now feasible. In this study, as the first effort to implement MS-based methods for antibody coformulation in QC laboratories, we developed and validated a high-throughput and robust focused peptide mapping method using QDa for simultaneous site-specific monitoring of oxidation of methionine and tryptophan residues in heavy-chain (HC) complementary determining regions (CDRs) of two co-formulated mAbs. The method was validated in terms of accuracy, precision, linearity, range, quantitation limit (QL), specificity, and solution stability per recommendations in ICH Q2. The method robustness was systematically assessed involving multiple sample preparation and instrument method parameters. The method met the validation criteria in GMP laboratories with excellent robustness and was implemented in both GMP and development environments.

Development and comparison of three cell-based potency assays for anti-respiratory syncytial virus monoclonal antibody.

There is an increasing demand for monoclonal antibody (mAb) therapies to confer passive immunity against viral diseases. Respiratory syncytial virus (RSV) is the most common cause of bronchiolitis, lower respiratory tract infections, and hospitalization in infants. Currently, there is no RSV vaccine but a humanized mAb available for high risk infants. MK-1654 is a fully human mAb with YTE mutation in the fragment crystallizable (Fc) region to extend the half-life in circulation. It binds to a highly conserved epitope of RSV Fusion protein with high affinity and neutralizes RSV infection. A functional cell-based assay is a regulatory requirement for clinical development, commercial release, and stability testing of MK-1654. In this study, we have evaluated three RSV neutralization assays to test the potency of MK-1654, including an imaging-based virus reduction neutralization test (VRNT) and two reporter virus-based assays (RSV-GFP and RSV-NLucP). All three methods showed good dose response curves of MK-1654 with similar EC50 values. RSV-NLucP method was chosen for further development because it is simple and can be easily adapted to quality control testing laboratories. After optimization, the RSV-NLucP assay was pre-qualified with good linearity, relative accuracy, intermediate precision, and specificity, therefore suitable for a cell-based potency assay.

Renal Replacement Therapy Preferences Survey: Is Allo-Hemodialysis an Acceptable Option for Patient Caregivers and Health Care Professionals?

End-stage kidney disease (ESKD) is a worldwide unsolved problem. Access to renal replacement therapies (RRT) is still a challenge in some developed countries and even more so in developing countries. Allo-hemodialysis (alloHD) is a recently proposed, still hypothetical, alternative RRT where the blood of a healthy subject ("buddy") flows countercurrent to the patient's blood through the dialyzer. Solutes and fluid are transferred to the buddy and then cleared by his/her healthy kidneys, making alloHD essentially a procedure where the buddy "donates" kidney function intermittently to the patient. Its drastically reduced complexity makes -alloHD particularly attractive for low-resource settings. The acceptance of alloHD by patients, caregivers, and health care professionals (HCP) is unknown. In this cross-sectional study, we surveyed the preferences and acceptance of alloHD in 3 groups: caregivers related to ESKD patients, nonrelated caregivers (nrCG), and HCP. Four areas were explored: RRT preferences, kidney organ donation for transplant acceptance, -alloHD acceptance as a potential RRT, and alloHD technique acceptance. Hemodialysis was the preferred form of RRT. Kidney donation acceptance was similar in all groups. Intermittent kidney function donation (i.e., alloHD) was mainly accepted by related and nrCG but less accepted by HCP (87, 90, and 60% respectively, p < 0.01). New RRT alternatives such as alloHD are expected to be better received and accepted once animal, and clinical studies have demonstrated their feasibility, safety, and benefits. New RRT strategies are required primarily in most vulnerable populations and should be explored.

A comparative study of confidence intervals to assess biosimilarity from analytical data.

Assessment of analytical similarity of tier 1 quality attributes is based on a set of hypotheses that tests the mean difference of reference and test products against a margin adjusted for standard deviation of the reference product. Thus, proper assessment of the biosimilarity hypothesis requires statistical tests that account for the uncertainty associated with the estimations of the mean differences and the standard deviation of the reference product. Recently, a linear reformulation of the biosimilarity hypothesis has been proposed, which facilitates development and implementation of statistical tests. These statistical tests account for the uncertainty in the estimation process of all the unknown parameters. In this paper, we survey methods for constructing confidence intervals for testing the linearized reformulation of the biosimilarity hypothesis and also compare the performance of the methods. We discuss test procedures using confidence intervals to make possible comparison among recently developed methods as well as other previously developed methods that have not been applied for demonstrating analytical similarity. A computer simulation study was conducted to compare the performance of the methods based on the ability to maintain the test size and power, as well as computational complexity. We demonstrate the methods using two example applications. At the end, we make recommendations concerning the use of the methods.

Discriminating Ability of Abbreviated Impactor Measurement Approach (AIM) to Detect Changes in Mass Median Aerodynamic Diameter (MMAD) of an Albuterol/Salbutamol pMDI Aerosol.

This article reports on results from a two-lab, multiple impactor experiment evaluating the abbreviated impactor measurement (AIM) concept, conducted by the Cascade Impaction Working Group of the International Pharmaceutical Aerosol Consortium on Regulation and Science (IPAC-RS). The goal of this experiment was to expand understanding of the performance of an AIM-type apparatus based on the Andersen eight-stage non-viable cascade impactor (ACI) for the assessment of inhalation aerosols and sprays, compared with the full-resolution version of that impactor described in the pharmacopeial compendia. The experiment was conducted at two centers with a representative commercially available pressurized metered dose inhaler (pMDI) containing albuterol (salbutamol) as active pharmaceutical ingredient (API). Metrics of interest were total mass (TM) emitted from the inhaler, impactor-sized mass (ISM), as well as the ratio of large particle mass (LPM) to small particle mass (SPM). ISM and the LPM/SPM ratio together comprise the efficient data analysis (EDA) metrics. The results of the comparison demonstrated that in this study, the AIM approach had adequate discrimination to detect changes in the mass median aerodynamic diameter (MMAD) of the ACI-sampled aerodynamic particle size distribution (APSD), and therefore could be employed for routine product quality control (QC). As with any test method considered for inclusion in a regulatory filing, the transition from an ACI (used in development) to an appropriate AIM/EDA methodology (used in QC) should be evaluated and supported by data on a product-by-product basis.

Risk management for moisture related effects in dry manufacturing processes: a statistical approach.

A risk- and science-based approach to control the quality in pharmaceutical manufacturing includes a full understanding of how product attributes and process parameters relate to product performance through a proactive approach in formulation and process development. For dry manufacturing, where moisture content is not directly manipulated within the process, the variability in moisture of the incoming raw materials can impact both the processability and drug product quality attributes. A statistical approach is developed using individual raw material historical lots as a basis for the calculation of tolerance intervals for drug product moisture content so that risks associated with excursions in moisture content can be mitigated. The proposed method is based on a model-independent approach that uses available data to estimate parameters of interest that describe the population of blend moisture content values and which do not require knowledge of the individual blend moisture content values. Another advantage of the proposed tolerance intervals is that, it does not require the use of tabulated values for tolerance factors. This facilitates the implementation on any spreadsheet program like Microsoft Excel. A computational example is used to demonstrate the proposed method.

[Between contradictions and risks: Mexican male adolescents' views about teenage pregnancy and its association with sexual behavior]. / Entre contradicciones y riesgos: opiniones de varones adolescentes mexicanos sobre el embarazo temprano y su asociación con el comportamiento sexual.

OBJECTIVE: To explore the opinions of Mexican male adolescents regarding teenage pregnancy and analyze its association with sexual behavior. MATERIALS AND METHODS: This is a cross-sectional study using a self-administered questionnaire among a conventional sample of male students (15-19 years old) in eight public schools in Morelos and Mexico City. Analyses include multivariate models to identify the association between opinions and sexual behaviors. RESULTS: Overall, 68% agree that a teenage pregnancy is a negative event. In a hypothetical case, if a girlfriend got pregnant in this moment 56% would continue in the school whereas 18% would definitely abandon it. Those who affirm that a teenage pregnancy is something very bad have greater odds of using condoms (OR=1.8; p<0.05). CONCLUSIONS: Male adolescents' views about teenage pregnancy are associated with some sexual behaviors; however their opinions reflect several contradictions. The design of surveys directed exclusively to explore male adolescents' opinions about reproductive health is urgent.

A deep-well plate enabled automated high-throughput cell line development platform.

Cell line development (CLD) plays a crucial role in the manufacturing process development of therapeutic biologics. Most biologics are produced in Chinese hamster ovary (CHO) cell. Because of the nature of random transgene integration in CHO genome and CHO's inherent plasticity, stable CHO transfectants usually have a vast diversity in productivity, growth, and product quality. Thus, we often must resort to screening a large number of cell pools and clones to increase the probability of identifying the ideal production cell line, which is a very laborious and resource-demanding process. Here we have developed a deep-well plate (DWP) enabled high throughput (DEHT) CLD platform using 24-well DWP (24DWP), liquid handler, and other automation components. This platform has capabilities covering the key steps of CLD including cell passaging, clone imaging and expansion, and fed-batch production. We are the first to demonstrate the suitability of 24DWP for CLD by confirming minimal well-to-well and plate-to-plate variability and the absence of well-to-well cross contamination. We also demonstrated that growth, production, and product quality of 24DWP cultures were comparable to those of conventional shake flask cultures. The DEHT platform enables scientists to screen five times more cultures than the conventional CLD platform, thus significantly decreases the resources needed to identify an ideal production cell line for biologics manufacturing.

The ClC-1 chloride channel inhibitor NMD670 improves skeletal muscle function in rat models and patients with myasthenia gravis.

Myasthenia gravis (MG) is a neuromuscular disease that results in compromised transmission of electrical signals at the neuromuscular junction (NMJ) from motor neurons to skeletal muscle fibers. As a result, patients with MG have reduced skeletal muscle function and present with symptoms of severe muscle weakness and fatigue. ClC-1 is a skeletal muscle specific chloride (Cl-) ion channel that plays important roles in regulating neuromuscular transmission and muscle fiber excitability during intense exercise. Here, we show that partial inhibition of ClC-1 with an orally bioavailable small molecule (NMD670) can restore muscle function in rat models of MG and in patients with MG. In severely affected MG rats, ClC-1 inhibition enhanced neuromuscular transmission, restored muscle function, and improved mobility after both single and prolonged administrations of NMD670. On this basis, NMD670 was progressed through nonclinical safety pharmacology and toxicology studies, leading to approval for testing in clinical studies. After successfully completing phase 1 single ascending dose in healthy volunteers, NMD670 was tested in patients with MG in a randomized, placebo-controlled, single-dose, three-way crossover clinical trial. The clinical trial evaluated safety, pharmacokinetics, and pharmacodynamics of NMD670 in 12 patients with mild MG. NMD670 had a favorable safety profile and led to clinically relevant improvements in the quantitative myasthenia gravis (QMG) total score. This translational study spanning from single muscle fiber recordings to patients provides proof of mechanism for ClC-1 inhibition as a potential therapeutic approach in MG and supports further development of NMD670.

Polyomavirus JC urinary shedding in kidney and liver transplant recipients associated with reduced creatinine clearance.

BACKGROUND: Polyomavirus reactivation can cause significant morbidity in solid organ transplant recipients, particularly BK virus (BKV) in kidney transplant patients. Less is known about dynamics of John Cunningham virus (JCV) in nonkidney organ transplant patients. METHODS: We examined the frequency of urinary shedding of polyomaviruses BKV and JCV and their relationship to creatinine clearance (CrCl) in a longitudinal study of 41 kidney and 33 liver transplant recipients. RESULTS: Any polyomavirus urinary shedding was more frequent in liver than kidney recipients (64% vs 39%; P= .03). JCV was excreted more frequently by liver than kidney recipients (71% vs 38%), whereas BKV was shed more often by kidney than liver patients (69% vs 52%). Mean JCV loads were significantly higher than those of BKV in both patient groups (P< .0001). Lower mean CrCl values were significantly associated with JCV shedding in both kidney and liver recipients (P< .001). CONCLUSIONS: These findings suggest that BKV and JCV display different patterns of reactivation and shedding in kidney and liver transplant patients and that JCV may have a role in renal dysfunction in some solid organ transplant recipients.

Statistical analysis of data from dilution assays with censored correlated counts.

Frequently, count data obtained from dilution assays are subject to an upper detection limit, and as such, data obtained from these assays are usually censored. Also, counts from the same subject at different dilution levels are correlated. Ignoring the censoring and the correlation may provide unreliable and misleading results. Therefore, any meaningful data modeling requires that the censoring and the correlation be simultaneously addressed. Such comprehensive approaches of modeling censoring and correlation are not widely used in the analysis of dilution assays data. Traditionally, these data are analyzed using a general linear model on a logarithmic-transformed average count per subject. However, this traditional approach ignores the between-subject variability and risks, providing inconsistent results and unreliable conclusions. In this paper, we propose the use of a censored negative binomial model with normal random effects to analyze such data. This model addresses, in addition to the censoring and the correlation, any overdispersion that may be present in count data. The model is shown to be widely accessible through the use of several modern statistical software.

Retrospective assessment of clonality of a legacy cell line by analytical subcloning of the master cell bank.

In recent years, assurance of clonality of the production cell line has been emphasized by health authorities during review of regulatory submissions. When insufficient assurance of clonality is provided, augmented control strategies may be required for a commercial production process. In this study, we conducted a retrospective assessment of clonality of a legacy cell line through analysis of subclones from the master cell bank (MCB). Twenty-four subclones were randomly selected based on a predetermined acceptance sampling plan. All these subclones share a conserved integration junction, thus providing a high level of assurance that the cell population in the MCB was derived from a single progenitor cell. However, Southern blot analysis indicates that at least four subpopulations possibly exist in the MCB. Additional characterization of these four subpopulations demonstrated that the resulting changes in product quality attributes of some subclones are not related to the genetic heterogeneity observed in Southern blot hybridization. Furthermore, process consistency, process comparability, and analytical comparability have been demonstrated in batches produced across varying manufacturing processes, scales, facilities, cell banks, and cell ages. Finally, process and product consistency together with a high level of assurance of clonal origin of the MCB helped clear the hurdle for regulatory approval without requirement of additional control strategies.

Trends and projections of hepatitis C virus epidemiology in Latin America.

BACKGROUND AND AIM: The purpose of the present investigation is to provide an analysis of previous works on the epidemiology of the hepatitis C virus (HCV) infection from six countries throughout Latin America, to forecast the future HCV prevalence trends in Argentina, Brazil, Mexico and Puerto Rico, and to outline deficiencies in available data, highlighting the need for further research. METHODS: Data references were identified through indexed journals and non-indexed sources. Overall, 1080 articles were reviewed and 150 were selected based on their relevance to this work. When multiple data sources were available for a key assumption, a systematic process using multi-objective decision analysis (MODA) was used to select the most appropriate sources. When data were missing, analogues were used. Data from other countries with similar risk factors and/or population compositions were used as a proxy to help predict the future trends in prevalence. RESULTS: The review indicates that the dominant genotype is type 1. HCV prevalence in the analysed countries ranges from 1 to 2.3%. The Latin American countries have been very proactive in screening their blood supplies, thus minimizing the risk of transmission through transfusion. This suggests that other risk factors are set to play a major role in continued new infections. The number of diagnosed and treated patients is low, thereby increasing the burden of complications such as liver cirrhosis or hepatocellular carcinoma. The HCV prevalence, according to our modelling is steady or increasing and the number of infected individuals will increase. CONCLUSIONS: The results herein reported should provide a foundation for informed planning efforts to tackle hepatitis.

Models for Counts and Particle Size Distributions of Subvisible Particle Data.

Traditional statistical analyses of subvisible particle data are usually based on either descriptive statistics, normal-based methods, or standard Poisson models. These methods often do not adequately describe the counts or particle size distribution. They usually ignore relevant information represented in the data, such as count correlation. Therefore, any meaningful analyses of subvisible particle data require a reasonable representation of counts and particle size distribution and the correlation in the data. Such comprehensive approaches are not widely available or used when analyzing subvisible particle data. In this article, we propose the use of generalized linear mixed models to analyze the counts and the particle size distribution of subvisible particle data. These models make optimal use of the information in the data and allow flexible approaches for the analyses of a wide range of data structures. They are readily accessible to practitioners through the use of modern statistical software. These models are demonstrated with two numerical examples using two different data structures.

The effectiveness of quality control samples in pharmaceutical bioanalysis.

The use of quality control (QC) samples in bioanalysis is well established and consistent with regulatory guidance. However, a systematic evaluation of whether QC samples serve the intended purpose of improving data quality has not been undertaken. The Translational and ADME Sciences Leadership Group (TALG) of the International Consortium for Innovation and Quality in Pharmaceutical Development (IQ) conducted an evaluation to assess whether closer agreement is observed when comparing pharmacokinetic data from two passed runs, than when comparing data from failed and passed (retest) runs. Analysis of data collected across organizations, molecular types and analytical platforms, revealed that bioanalytical methods are very reproducible; and that QC samples improve the overall quality of pharmacokinetic concentration data and justifies their continued use.

Novel insights into lithium's mechanism of action: neurotrophic and neuroprotective effects.

The monovalent cation lithium partially exerts its effects by activating neurotrophic and neuroprotective cellular cascades. Here, we discuss the effects of lithium on oxidative stress, programmed cell death (apoptosis), inflammation, glial dysfunction, neurotrophic factor functioning, excitotoxicity, and mitochondrial stability. In particular, we review evidence demonstrating the action of lithium on cyclic adenosine monophosphate (cAMP)-mediated signal transduction, cAMP response element binding activation, increased expression of brain-derived neurotrophic factor, the phosphatidylinositide cascade, protein kinase C inhibition, glycogen synthase kinase 3 inhibition, and B-cell lymphoma 2 expression. Notably, we also review data from clinical studies demonstrating neurotrophic effects of lithium. We expect that a better understanding of the clinically relevant pathophysiological targets of lithium will lead to improved treatments for those who suffer from mood as well as neurodegenerative disorders.

Relative precision of inhaler aerodynamic particle size distribution (APSD) metrics by full resolution and abbreviated andersen cascade impactors (ACIs): part 2--investigation of bias in extra-fine mass fraction with AIM-HRT impactor.

The purpose of this study was to resolve an anomalously high measure of extra-fine particle fraction (EPF) determined by the abbreviated cascade impactor possibly relevant for human respiratory tract (AIM-HRT) in the experiment described in Part 1 of this two-part series, in which the relative precision of abbreviated impactors was evaluated in comparison with a full resolution Andersen eight-stage cascade impactor (ACI). Evidence that the surface coating used to mitigate particle bounce was laterally displaced by the flow emerging from the jets of the lower stage was apparent upon microscopic examination of the associated collection plate of the AIM-HRT impactor whose cut point size defines EPF. A filter soaked in surfactant was floated on top of this collection plate, and further measurements were made using the same pressurized metered-dose inhaler-based formulation and following the same procedure as in Part 1. Measures of EPF, fine particle, and coarse particle fractions were comparable with those obtained with the ACI, indicating that the cause of the bias had been identified and removed. When working with abbreviated impactors, this precaution is advised whenever there is evidence that surface coating displacement has occurred, a task that can be readily accomplished by microscopic inspection of all collection plates after allowing the impactor to sample ambient air for a few minutes.

Relative precision of inhaler aerodynamic particle size distribution (APSD) metrics by full resolution and abbreviated andersen cascade impactors (ACIs): part 1.

The purpose of this study was to compare relative precision of two different abbreviated impactor measurement (AIM) systems and a traditional multi-stage cascade impactor (CI). The experimental design was chosen to provide separate estimates of variability for each impactor type. Full-resolution CIs are useful for characterizing the aerosol aerodynamic particle size distribution of orally inhaled products during development but are too cumbersome, time-consuming, and resource-intensive for other applications, such as routine quality control (QC). This article presents a proof-of-concept experiment, where two AIM systems configured to provide metrics pertinent to QC (QC-system) and human respiratory tract (HRT-system) were evaluated using a hydrofluoroalkane-albuterol pressurized metered dose inhaler. The Andersen eight-stage CI (ACI) served as the benchmark apparatus. The statistical design allowed estimation of precision with each CI configuration. Apart from one source of systematic error affecting extra-fine particle fraction from the HRT-system, no other bias was detected with either abbreviated system. The observed bias was shown to be caused by particle bounce following the displacement of surfactant by the shear force of the airflow diverging above the collection plate of the second impaction stage. A procedure was subsequently developed that eliminated this source of error, as described in the second article of this series (submitted to AAPS PharmSciTech). Measurements obtained with both abbreviated impactors were very similar in precision to the ACI for all measures of in vitro performance evaluated. Such abbreviated impactors can therefore be substituted for the ACI in certain situations, such as inhaler QC or add-on device testing.