Tool For Drug Development Research Articles

Optimization and Validation of Dosage Regimen for Ceftiofur against Pasteurella multocida in Swine by Physiological Based Pharmacokinetic-Pharmacodynamic Model.

Model informed drug development is a valuable tool for drug development and clinical application due to its ability to integrate variability and uncertainty of data. This study aimed to determine an optimal dosage of ceftiofur against P. multocida by ex vivo pharmacokinetic/pharmacodynamic (PK/PD) model and validate the dosage regimens by Physiological based Pharmacokinetic-Pharmacodynamic (PBPK/PD) model. The pharmacokinetic profiles of ceftiofur both in plasma and bronchoalveolar lavage fluid (BALF) are determined. PD performance of ceftiofur against P. multocida was investigated. By establishing PK/PD model, PK/PD parameters and doses were determined. PBPK model and PBPK/PD model were developed to validate the dosage efficacy. The PK/PD parameters, AUC0–24 h/MIC, for bacteriostatic action, bactericidal action and elimination were determined as 44.02, 89.40, and 119.90 h and the corresponding dosages were determined as 0.22, 0.46, and 0.64 mg/kg, respectively. AUC24 h/MIC and AUC 72 h/MIC are simulated by PBPK model, compared with the PK/PD parameters, the therapeutic effect can reach probability of target attainment (PTA) of 90%. The time-courses of bacterial growth were predicted by the PBPK/PD model, which indicated the dosage of 0.46 mg/kg body weight could inhibit the bacterial growth and perform good bactericidal effect.

Simulation Models for Prediction of Bioavailability of Medicinal Drugs-the Interface Between Experiment and Computation.

The oral drug bioavailability (BA) problems have remained inevitable over the years, impairing drug efficacy and indirectly leading to eventual human morbidity and mortality. However, some conventional lab-based methods improve drug absorption leading to enhanced BA, and the recent experimental techniques are up-and-coming. Nevertheless, some have inherent drawbacks in improving the efficacy of poorly insoluble and low impermeable drugs. Drug BA and strategies to overcome these challenges were briefly highlighted. This review has significantly unravelled the different computational models for studying and predicting drug bioavailability. Several computational approaches provide mechanistic insights into the oral drug delivery system simulation of descriptors like solubility, permeability, transport protein-ligand interactions, and molecular structures. The in silico techniques have long been known still are just being applied to unravel drug bioavailability issues. Many publications have reported novel applications of the computational models towards achieving improved drug BA, including predicting gastrointestinal tract (GIT) drug absorption properties and passive intestinal membrane permeability, thus maximizing time and resources. Also, the classical molecular simulation models for free solvation energies of soluble-related processes such as solubilization, dissolutions, supersaturation, and precipitation have been used in virtual screening studies. A few of the tools are GastroPlusTM that supports biowaiver for drugs, mainly BCS class III and predicts drug compounds' absorption and pharmacokinetic process; SimCyp® simulator for mechanistic modelling and simulation of drug formulation processes; pharmacodynamics analysis on non-linear mixed-effects modelling; and mathematical models, predicting absorption potential/maximum absorption dose. This review provides in silico-experiment annexation in the drug bioavailability enhancement, possible insights that lead to critical opinion on the applications and reliability of the various in silico models as a growing tool for drug development and discovery, thus accelerating drug development processes.

PET as a Translational Tool in Drug Development for Neuroscience Compounds.

In central nervous system drug discovery programs, early development of new chemical entities (NCEs) requires a multidisciplinary strategy and a translational approach to obtain proof of distribution, proof of occupancy, and proof of function in specific brain circuits. Positron emission tomography (PET) provides a way to assess in vivo the brain distribution of NCEs and their binding to the target of interest, provided that radiolabeling of the NCE is possible or that a suitable radioligand is available. PET is therefore a key tool for early phases of drug discovery programs. This review will summarize the main applications of PET in early drug development and discuss the usefulness of PET microdosing studies performed with direct labelling of the NCE and PET occupancy studies. The purpose of this review is also to propose an alignment of the nomenclatures used by drug metabolism and pharmacokinetic scientists and PET imaging scientists to indicate key pharmacokinetic parameters and to provide guidance in the performance and interpretation of PET studies.

Toward Bridging Unmet Medical Need in Early Alzheimer's Disease: An Evaluation of Beta-Amyloid (Aβ) Plaque Burden as a Potential Drug Development Tool.

Toward Bridging Unmet Medical Need in Early Alzheimer's Disease: An Evaluation of Beta-Amyloid (Aβ) Plaque Burden as a Potential Drug Development Tool.

Culture-Free Enumeration of Mycobacterium tuberculosis in Mouse Tissues Using the Molecular Bacterial Load Assay for Preclinical Drug Development.

Background: The turnaround times for phenotypic tests used to monitor the bacterial load of Mycobacterium tuberculosis, in both clinical and preclinical studies, are delayed by the organism’s slow growth in culture media. The existence of differentially culturable populations of M. tuberculosis may result in an underestimate of the true number. Moreover, culture methods are susceptible to contamination resulting in loss of critical data points. Objectives: We report the adaptation of our robust, culture-free assay utilising 16S ribosomal RNA, developed for sputum, to enumerate the number of bacteria present in animal tissues as a tool to improve the read-outs in preclinical drug efficacy studies. Methods: Initial assay adaptation was performed using naïve mouse lungs spiked with known quantities of M. tuberculosis and an internal RNA control. Tissues were homogenised, total RNA extracted, and enumeration performed using RT-qPCR. We then evaluated the utility of the assay, in comparison to bacterial counts estimated using growth assays on solid and liquid media, to accurately inform bacterial load in tissues from M. tuberculosis-infected mice before and during treatment with a panel of drug combinations. Results: When tested on lung tissues derived from infected mice, the MBL assay produced comparable results to the bacterial counts in solid culture (colony forming units: CFU). Notably, under specific drug treatments, the MBL assay was able to detect a significantly higher number of M. tuberculosis compared to CFU, likely indicating the presence of bacteria that were unable to produce colonies in solid-based culture. Additionally, growth recovery in liquid media using the most probable number (MPN) assay was able to account for the discrepancy between the MBL assay and CFU number, suggesting that the MBL assay detects differentially culturable sub-populations of M. tuberculosis. Conclusions: The MBL assay can enumerate the bacterial load in animal tissues in real time without the need to wait for extended periods for cultures to grow. The readout correlates well with CFUs. Importantly, we have shown that the MBL is able to measure specific populations of bacteria not cultured on solid agar. The adaptation of this assay for preclinical studies has the potential to decrease the readout time of data acquisition from animal experiments and could represent a valuable tool for tuberculosis drug discovery and development.

A Transcriptomic Approach to Elucidate the Mechanisms of Gefitinib-Induced Toxicity in Healthy Human Intestinal Organoids.

Gefitinib is a tyrosine kinase inhibitor (TKI) that selectively inhibits the epidermal growth factor receptor (EGFR), hampering cell growth and proliferation. Due to its action, gefitinib has been used in the treatment of cancers that present abnormally increased expression of EGFR. However, side effects from gefitinib therapy may occur, among which diarrhoea is most common, that can lead to interruption of the planned therapy in the more severe cases. The mechanisms underlying intestinal toxicity induced by gefitinib are not well understood. Therefore, this study aims at providing insight into these mechanisms based on transcriptomic responses induced in vitro. A 3D culture of healthy human colon and small intestine (SI) organoids was exposed to 0.1, 1, 10 and 30 µM of gefitinib, for a maximum of three days. These drug concentrations were selected using physiologically-based pharmacokinetic simulation considering patient dosing regimens. Samples were used for the analysis of viability and caspase 3/7 activation, image-based analysis of structural changes, as well as RNA isolation and sequencing via high-throughput techniques. Differential gene expression analysis showed that gefitinib perturbed signal transduction pathways, apoptosis, cell cycle, FOXO-mediated transcription, p53 signalling pathway, and metabolic pathways. Remarkably, opposite expression patterns of genes associated with metabolism of lipids and cholesterol biosynthesis were observed in colon versus SI organoids in response to gefitinib. These differences in the organoids’ responses could be linked to increased activated protein kinase (AMPK) activity in colon, which can influence the sensitivity of the colon to the drug. Therefore, this study sheds light on how gefitinib induces toxicity in intestinal organoids and provides an avenue towards the development of a potential tool for drug screening and development.

Applications of Model-Based Meta-Analysis in Drug Development

Model-based meta-analysis (MBMA) is a quantitative approach that leverages published summary data along with internal data and can be applied to inform key drug development decisions, including the benefit-risk assessment of a treatment under investigation. These risk–benefit assessments may involve determining an optimal dose compared against historic external comparators of a particular disease indication. MBMA can provide a flexible framework for interpreting aggregated data from historic reference studies and therefore should be a standard tool for the model-informed drug development (MIDD) framework.In addition to pairwise and network meta-analyses, MBMA provides further contributions in the quantitative approaches with its ability to incorporate longitudinal data and the pharmacologic concept of dose–response relationship, as well as to combine individual- and summary-level data and routinely incorporate covariates in the analysis.A common application of MBMA is the selection of optimal dose and dosing regimen of the internal investigational molecule to evaluate external benchmarking and to support comparator selection. Two case studies provided examples in applications of MBMA in biologics (durvalumab + tremelimumab for safety) and small molecule (fenebrutinib for efficacy) to support drug development decision-making in two different but well-studied disease areas, i.e., oncology and rheumatoid arthritis, respectively.Important to the future directions of MBMA include additional recognition and engagement from drug development stakeholders for the MBMA approach, stronger collaboration between pharmacometrics and statistics, expanded data access, and the use of machine learning for database building. Timely, cost-effective, and successful application of MBMA should be part of providing an integrated view of MIDD.

HP58 : Effects of sodium channel blockers on “nerve exciatability threshold tracking“

Selective voltage gated sodium channel blockers are of growing interest as treatment for pain. For drug development of such compounds, it would be critical to have a biomarker that can be used for proof-of-mechanism. We aimed to evaluate whether drug-induced changes in sodium conductance can be detected using nerve excitability threshold tracking in 18 healthy subjects. In a randomized, double-blind, three-way crossover study, effects of single doses of mexiletine and lacosamide were compared to placebo. On each study visit, motor- and sensory nerve excitability measurements of the median nerve were performed (pre-dose; 2- and 5-hours post-dose). Stimulation was guided by QTRAC-S. Treatment effects were calculated using an ANCOVA, with baseline as covariate. Mexiletine and lacosamide had significant effects on a multitude of motor- and sensory nerve excitability parameters. In motor nerves, TEd 40-60ms was significantly decreased when compared to placebo, with an estimated difference -1.37% (95%CI:-2.20,-0.55;p=0.002) after mexiletine and -1.27% (95%CI:-2.0968,-0.4430; p=0.004) after lacosamide. Moreover, mexiletine and lacosamide significantly increased superexcitability in motor nerves, with an estimated difference of 1.74% (95%CI:0.61,2.87; p=0.004) and 1.47% (95%CI:0.34, 2.60;p=0.013), respectively. The strength-duration time constant decreased after lacosamide in both motor nerves -0.03ms (95%CI:-0.06,-0.01;p=0.005) and sensory nerves -0.08ms (95%CI:-0.12,-0.05;p<0.001). Mexiletine and lacosamide significantly decrease excitability of motor and sensory nerves, in line with the mechanism of action. This study shows that threshold tracking can be an effective biomarker in pharmacological studies. The method would therefore be a valuable tool in drug development, to help identifying target engagement in healthy subjects.

3D Microvascularized Tissue Models by Laser‐Based Cavitation Molding of Collagen

Abstract3D tissue models recapitulating human physiology are important for fundamental biomedical research, and they hold promise to become a new tool in drug development. An integrated and defined microvasculature in 3D tissue models is necessary for optimal cell functions. However, conventional bioprinting only allows the fabrication of hydrogel scaffolds containing vessel‐like structures with large diameters (&gt;100 µm) and simple geometries. Recent developments in laser photoablation enable the generation of this type of structure with higher resolution and complexity, but the photo‐thermal process can compromise cell viability and hydrogel integrity. To address these limitations, the present work reports in situ 3D patterning of collagen hydrogels by femtosecond laser irradiation to create channels and cavities with diameters ranging from 20 to 60 µm. In this process, laser irradiation of the hydrogel generates cavitation gas bubbles that rearrange the collagen fibers, thereby creating stable microchannels. Such 3D channels can be formed in cell‐ and organoid‐laden hydrogel without affecting the viability outside the lumen and can enable the formation of artificial microvasculature by the culture of endothelial cells and cell media perfusion. Thus, this method enables organs‐on‐a‐chip and 3D tissue models featuring complex microvasculature.

Emerging Molecular Markers Towards Potential Diagnostic Panels for Lupus.

Systemic lupus erythematosus (SLE) is a multifactorial autoimmune disease which can affect various tissues and organs, posing significant challenges for clinical diagnosis and treatment. The etiology of SLE is highly complex with contributions from environmental factors, stochastic factors as well as genetic susceptibility. The current criteria for diagnosing SLE is based primarily on a combination of clinical presentations and traditional lab testing. However, these tests have suboptimal sensitivity and specificity. They are unable to indicate disease cause or guide physicians in decision-making for treatment. Therefore, there is an urgent need to develop a more accurate and robust tool for effective clinical management and drug development in lupus patients. It is fortunate that the emerging Omics have empowered scientists in the discovery and identification of potential novel biomarkers of SLE, especially the markers from blood, urine, cerebrospinal fluids (CSF), and other bodily fluids. However, many of these markers have not been carefully validated for clinical use. In addition, it is apparent that individual biomarkers lack sensitivity or specificity. This review summarizes the sensitivity, specificity and diagnostic value of emerging biomarkers from recent studies, and discusses the potential of these markers in the development of biomarker panel based diagnostics or disease monitoring system in SLE.

Microdosing as a Potential Tool to Enhance Clinical Development of Novel Antibiotics: A Tissue and Plasma PK Feasibility Study with Ciprofloxacin.

Background and ObjectiveIn microdose studies, drug pharmacokinetics is measured in humans after administration of subtherapeutic doses. While previous microdose studies focused primarily on plasma pharmacokinetics, we set out to evaluate the feasibility of microdosing for a pharmacokinetic assessment in subcutaneous tissue and epithelial lining fluid.MethodsHealthy subjects received a single intravenous bolus injection of a microdose of [14C]ciprofloxacin (1.1 µg, 7 kBq) with (cohort A, n = 9) or without (cohort B, n = 9) a prior intravenous infusion of a therapeutic dose of unlabeled ciprofloxacin (400 mg). Microdialysis and bronchoalveolar lavage were applied for determination of subcutaneous and intrapulmonary drug concentrations. Microdose [14C]ciprofloxacin was quantified by accelerator mass spectrometry and therapeutic-dose ciprofloxacin by liquid chromatography–tandem mass spectrometry.ResultsThe pharmacokinetics of therapeutic-dose ciprofloxacin (cohort A) in plasma, subcutaneous tissue, and epithelial lining fluid was in accordance with previous data. In plasma and subcutaneous tissue, the dose-adjusted area under the concentration–time curve of microdose ciprofloxacin was similar in cohorts A and B and within an 0.8-fold to 1.1-fold range of the area under the concentration–time curve of therapeutic-dose ciprofloxacin. Penetration of microdose ciprofloxacin into subcutaneous tissue was similar in cohorts A and B and comparable to that of therapeutic-dose ciprofloxacin with subcutaneous tissue-to-plasma area under the concentration–time curve ratios of 0.44, 0.44, and 0.38, respectively. Penetration of microdose ciprofloxacin into epithelial lining fluid was highly variable and failed to predict the epithelial lining fluid penetration of therapeutic-dose ciprofloxacin.ConclusionsOur study confirms the feasibility of microdosing for pharmacokinetic measurements in plasma and subcutaneous tissue. Microdosing combined with microdialysis is a potentially useful tool in clinical antimicrobial drug development, but its applicability for the assessment of pulmonary pharmacokinetics with bronchoalveolar lavage requires further studies.Clinical Trial RegistrationClinicalTrials.gov NCT03177720 (registered 6 June, 2017).Supplementary InformationThe online version contains supplementary material available at 10.1007/s40262-021-01091-1.

Influence of Liver Extracellular Matrix in Predicting Drug-Induced Liver Injury: An Alternate Paradigm.

In vitro drug-induced liver injury (DILI) models are promising tools for drug development to predict adverse events during clinical usage. However, the currently available DILI models are not specific or not able to predict the injury accurately. This is believed to be mainly because of failure to conserve the hepatocyte phenotype, lack of longevity, and difficulty in maintaining the tissue-specific microenvironment. In this study, we have assessed the potential of decellularized liver extracellular matrix (DLM) in retaining the hepatic cellular phenotype and functionality in the presence of a tissue-specific microenvironment along with its role in influencing the effect of the drug on hepatic cells. We show that DLM helps maintain the phenotype of the hepatic cell line HepG2, a well-known cell line for secretion of human proteins that is easily available. Also, the DLM enhanced the expression of a metabolic marker carbamoyl phosphate synthetase I (CPS1), a regulator of urea cycle, and bile salt export pump (BSEP), a marker of hepatocyte polarity. We further validated the DLM for its influence on the sensitivity of cells toward different classes of drugs. Interestingly, the coculture model, in the presence of endothelial cells and stellate cells, exhibited a higher sensitivity for both acetaminophen and trovafloxacin, a toxic compound that does not show any toxicity on preclinical screening. Thus, our results demonstrate for the first time that a multicellular combination along with DLM can be a potential and reliable DILI model to screen multiple drugs.

A Conceptual Framework for Use of Increased Endurance Time During Constant Work Rate Cycle Ergometry as a Patient-Focused Meaningful Outcome in COPD Clinical Trials.

The Chronic Lung Disease Biomarker and Clinical Outcome Assessment Qualification Consortium (CBQC) evaluates the potential of biomarkers and outcome measures as drug development tools. Exercise endurance is an objective indicator of treatment benefit, closely related to daily physical function. Therefore, it is an ideal candidate for an outcome for drug development trials. Unfortunately, no exercise endurance measure is qualified by regulatory authorities for use in trials of chronic obstructive pulmonary disease (COPD) and no approved COPD therapies have claims of improving exercise endurance. Consequently, it has been challenging for developers to consider this outcome when designing clinical trials for new therapies. Endurance time during constant work rate cycle ergometry (CWRCE), performed on an electronically braked stationary cycle ergometer, provides an exercise endurance measure under standardized conditions. Baseline individualized work rate for each participant is set using an incremental test. During CWRCE the patient is encouraged to continue exercising for as long as possible. Although not required, physiological and sensory responses (e.g., pulmonary ventilation, heart rate, dyspnea ratings) are frequently collected to support interpretation of endurance time changes. Exercise tolerance limit is reached when the individual is limited by symptoms, unable to maintain pedaling cadence or unable to continue safely. At exercise cessation, exercise duration is recorded. An CWRCE endurance time increase from the pre-treatment baseline is proposed as a key efficacy endpoint in clinical trials. In COPD, improved exercise endurance has a direct relationship to the experience of physical functioning in daily life, which is a patient-centered, meaningful benefit.

Review on the use of Molecular Docking as the First Line Tool in Drug Discovery and Development

Molecular docking has now become a novel approach for drug discovery in recent years. Computer-aided drug design is an area that is rapidly growing and has seen many successes. Many big pharmaceutical industries, academic resources and research personnel are using the tools for new drug development. In this review, we have discussed briefly different molecular docking methods, software used in the molecular docking process and their application in drug discovery. Molecular docking is a configuration-based virtual tryout in which computer-generated three dimensional structures of small molecules are given the freedom to interact with the target structure in assorted positions, orientation, and conformations.

Organotypic and Microphysiological Human Tissue Models for Drug Discovery and Development-Current State-of-the-Art and Future Perspectives.

The number of successful drug development projects has been stagnant for decades despite major breakthroughs in chemistry, molecular biology, and genetics. Unreliable target identification and poor translatability of preclinical models have been identified as major causes of failure. To improve predictions of clinical efficacy and safety, interest has shifted to three-dimensional culture methods in which human cells can retain many physiologically and functionally relevant phenotypes for extended periods of time. Here, we review the state of the art of available organotypic culture techniques and critically review emerging models of human tissues with key importance for pharmacokinetics, pharmacodynamics, and toxicity. In addition, developments in bioprinting and microfluidic multiorgan cultures to emulate systemic drug disposition are summarized. We close by highlighting important trends regarding the fabrication of organotypic culture platforms and the choice of platform material to limit drug absorption and polymer leaching while supporting the phenotypic maintenance of cultured cells and allowing for scalable device fabrication. We conclude that organotypic and microphysiological human tissue models constitute promising systems to promote drug discovery and development by facilitating drug target identification and improving the preclinical evaluation of drug toxicity and pharmacokinetics. There is, however, a critical need for further validation, benchmarking, and consolidation efforts ideally conducted in intersectoral multicenter settings to accelerate acceptance of these novel models as reliable tools for translational pharmacology and toxicology. SIGNIFICANCE STATEMENT: Organotypic and microphysiological culture of human cells has emerged as a promising tool for preclinical drug discovery and development that might be able to narrow the translation gap. This review discusses recent technological and methodological advancements and the use of these systems for hit discovery and the evaluation of toxicity, clearance, and absorption of lead compounds.

Analysis of Cell Proliferation by Three-Dimensional Culture.

Three-dimensional (3D) cell culture technology is a powerful tool in cancer research and drug development. It retains several critical components of the in vivo environment, including cell-cell and cell-extracellular matrix (ECM) interactions in a 3D fashion, gradients of oxygen, nutrients and metabolic waste, and it is thus more physiologically relevant than traditional two-dimensional (2D) cell culture. Here, we describe a simple and versatile method using commercially available chamber slides and Matrigel, a surrogate ECM hydrogel, to set up a 3D culture model for breast cancer cells. In this 3D culture model, cells form aggregates or spheroids on top of a thin layer of Matrigel, which can be fixed directly onto the chamber slides for cell imaging and immunofluorescence staining. Alternatively, RNA and protein can be extracted from the cells for further investigation. This 3D cell culture model provides a useful platform for cancer research and drug development, in which the effects of novel compounds or genetic modifications can be tested.

POSA27 Are Digital Endpoints Being Used To Support Labelling Claims? A Status Check

The use of Digital Health Technologies (DHT) in drug development studies is maturing. Taking into account the qualification of digital endpoints (DE) by the EMA and the inclusion of DHT passive Clinical Outcome Assessment’s (COA) in the FDA Drug Development Tool Qualification program. We review the use of DHT to generate endpoint data in drug development studies and support labelling claims. ClinicalTrials.gov was mined using the following search criteria; Completed, Interventional, Industry, Phase 3 and 4 studies (no time limit). Study outcomes were searched using 64 predefined key terms; including device names (e.g. Actigraph), generic terms (e.g. Digital), and Technology (e.g. Accelerometer). Drugs and biologicals studies were reviewed to ensure DHT generated endpoint data. Labels and medical reviews (MR) of identified drugs were examined. A review of FDA and EMA COA Qualification Programs was undertaken in June 2021. 125 phase 3/4 studies and 111 drugs’ were identified. 4 drugs (2 EMA, 2 FDA) mentioned DHT in both their labels and MR. 2 labels used terms that reflect the use of DHT’s “exercise” and “Steps” without the specific mention of the DHT used. 10 drugs referred to DHT in MR only (7 EMA, 3 FDA). The EMA have qualified 3 DE and issued 3 letters of support. The FDA have received 8 letters of Intent for DHT passive COA. 2 studies used EMA qualified endpoints (Stride velocity 95th percentile in Duchenne Muscular Dystrophy and Proactive in Chronic obstructive pulmonary disease). Data generated from DHT and qualified DE are being used as primary and secondary endpoints in phase 3 drug studies. This data is reflected in labelling text even if the DHT is not always overt. While the numbers are still small we anticipate that as the regularity qualification programs approve more DE, this number will mature.

In silico Molecular Docking of Anthraquinone Identified from Boerhavia diffusa Linn against Bax and Bcl-2 Gene

In today's medical environment, natural products have made a substantial contribution to the therapeutic approach in the treatment of diseases ranging from the simple to the complex. The old or traditional approach of standardization in medicinal plant research is a time-consuming, costly, and to some extent antiquated process. As a result, a computational technique that includes an in silico molecular docking simulation study has become an important tool for drug development, standardisation, and screening of phytochemicals. To investigate the cardioprotective research and the interaction of the strong chemical against Bax and Bcl-2 cardiomyocyte gene, docking was conducted using multiple Protein Data Bank files (3EOO, 3D2U, 2I42, and 3D2Y). The Anthraquinone has shown more potent interaction with apoptotic regulators Bcl-2 and Bax genes by showing good binding energy. The study also evident that Anthraquinone (UBA) was an ideal drug agent with better drug likeliness. Further, the compound can be used as therapeutic molecule for myocardial infarction. However, the results are preliminary and experimental evaluation will be carried out in near future.

The Critical Path for Alzheimer’s Disease (CPAD) Consortium: A platform for pre‐competitive data sharing, standardization, and analysis to support quantitative tools for AD drug development

AbstractBackgroundThe primary objective of the Critical Path for Alzheimer’s Disease (CPAD) consortium, a pre‐competitive consortium of the Critical Path Institute, is to promote, support, and manage pre‐competitive data and knowledge sharing from Alzheimer disease (AD) drug development stakeholders. Since 2019, CPAD has embarked on a new data sharing initiative to acquire fluid and imaging biomarker‐rich data sources for development of novel tools to quantify Alzheimer’s Disease progression across the AD continuum.MethodPatient‐level data from contemporary Phase2/Phase3 AD clinical trials and observational studies is acquired through formal data contribution agreements within CPAD, curated in collaboration with data contributors, standardized to common structure and terminology, and input into a relational data model (RDM) tool to generate analysis subsets. Data standardization is being accomplished using Clinical Data Interchange Standards Consortium (CDISC) standards. The RDM was developed using the open‐source software R and converts CDISC structure to analysis ready files for quantitative analyses through user defined primary keys, i.e. unique identifying variables for extracting information. The RDM includes a front‐end data interrogator that provides users with versatile capabilities to visualize and tabulate the data.ResultAs of October 2020, CPAD’s database (https://codr.c‐path.org/) contains 41 studies, standardized to the AD CDISC standards, of which three datasets were used to generate analysis subsets. Four additional datasets were recently acquired and are being standardized. Execution of Data Contribution Agreements (DCAs) is in progress for two contemporary datasets rich in key fluid and imaging biomarkers. Nine additional prioritized datasets are targeted for acquisition. The RDM is currently being used to transform the CDISC standardized data into analysis ready subsets containing patient demographics (age, sex), fluid biomarker information (Aβ 40/42), and clinical outcome assessments (Clinical Dementia Rating Scale – Sum of Boxes).ConclusionThe data acquisition and analysis platform developed is stimulating pre‐competitive efforts to generate quantitative tools for advancing AD drug development. Previously developed tools, including a regulatory endorsed clinical trial simulation tool, help optimize trial design and advance drug development in AD.

Harnessing Phage Display for the Discovery of Peptide-Based Drugs and Monoclonal Antibodies.

Phage display is a powerful high-throughput screening technology that presents a large and diverse selection of functional peptides, proteins, or antibody fragments on phage capsid surfaces for affinity determination towards a target of interest. Due to its advantages of a large screening capacity, mass production through fermentation, and straightforward execution, phage display has been widely used in bioengineering and biomedicine, especially for diagnostics and therapeutics. With the advent of next-generation sequencing and microfluidics technologies, phage display has become an even more powerful and popular tool for drug discovery and development. Here, we briefly review phage display technology and its application to drug discovery, including the discovery and development of peptide-based drugs and monoclonal antibodies. Combined with the emerging proteolysis targeting chimeras (PROTAC), we also discuss the advantages and future directions, aiming to facilitate drug discovery and development.