The gap between development and manufacturing in gene therapy: Strategic options for overcoming traps.

Gene therapy has been one of the most promising therapeutic approaches in recent years. This study analyzed a research and development (R&D) system for adeno-associated virus (AAV)-based gene therapies, and confirmed that there was a gap between the development and manufacturing capabilities. Although a start-up company that has no academic or manufacturing facilities can begin the clinical development process, it cannot successfully continue development activities without forming alliances and capital investment or, at a certain stage, without appropriate manufacturing and marketing strategies. We reviewed a series of case studies to categorize the acquisition patterns of pharmaceutical companies that are engaged in AAV gene therapy. These results provide insights into the R&D structures for AAV gene therapies from a technological management perspective.

Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology-A Review.

The release of the FDA's guidance on Process Analytical Technology has motivated and supported the pharmaceutical industry to deliver consistent quality medicine by acquiring a deeper understanding of the product performance and process interplay. The technical opportunities to reach this high-level control have considerably evolved since 2004 due to the development of advanced analytical sensors and chemometric tools. However, their transfer to the highly regulated pharmaceutical sector has been limited. To this respect, data fusion strategies have been extensively applied in different sectors, such as food or chemical, to provide a more robust performance of the analytical platforms. This survey evaluates the challenges and opportunities of implementing data fusion within the PAT concept by identifying transfer opportunities from other sectors. Special attention is given to the data types available from pharmaceutical manufacturing and their compatibility with data fusion strategies. Furthermore, the integration into Pharma 4.0 is discussed.

Advancing pharmacy and healthcare with virtual digital technologies.

Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally. From the different technologies, virtual tools including artificial intelligence, blockchain, virtual, and augmented reality, to name but a few, are providing significant benefits to patients and the pharmaceutical sector alike, ranging from improving access to clinicians and medicines, as well as improving real-time diagnoses and treatments. Indeed, it is envisioned that such technologies will communicate together in real-time, as well as with their physical counterparts, to create a large-scale, cyber healthcare system. Despite the significant benefits that virtual-based digital health technologies can bring to patient care, a number of challenges still remain, ranging from data security to acceptance within the healthcare sector. This review provides a timely account of the benefits and challenges of virtual health interventions, as well an outlook on how such technologies can be transitioned from research-focused towards real-world healthcare and pharmaceutical applications to transform treatment pathways for patients worldwide.

PDE concept for controlling cleaning agent residues in pharmaceuticals- A critical analysis.

Cleaning agents (CAs) are used in multipurpose facilities to control carryover contamination of active pharmaceutical ingredients (APIs) to scientifically justified limits. While this is often done with the PDE methodology used for API impurities, it is unclear if it is justifiable and necessary for cleaning agents, which generally represent a comparatively lower health risk. Comparing calculated oral PDE values for CA ingredients (CAIs) from four companies with PDEs of a selected number of small-molecule APIs showed that the toxicity of CAIs is several orders of magnitude lower. Furthermore, a critical review of the toxicity and everyday exposure to the general population of the main CAIs functional groups showed that the expected health risks are generally negligible. This is particularly true if the associated mode of actions cause local toxicity that is usually irrelevant at the concentration of potential residue carryover. This work points towards alternative approaches to the PDE concept to control CAIs' contamination and provides some guidance on grouping and identifying compounds with lower health risks based on exposure and mode of action reasoning. In addition, this work supports the concept that limit values should only be set for CAIs of toxicological concern.

Use of Real-World Evidence to Drive Drug Development Strategy and Inform Clinical Trial Design.

Interest in real-world data (RWD) and real-world evidence (RWE) to expedite and enrich the development of new biopharmaceutical products has proliferated in recent years, spurred by the 21st Century Cures Act in the United States and similar policy efforts in other countries, willingness by regulators to consider RWE in their decisions, demands from third-party payers, and growing concerns about the limitations of traditional clinical trials. Although much of the recent literature on RWE has focused on potential regulatory uses (e.g., product approvals in oncology or rare diseases based on single-arm trials with external control arms), this article reviews how biopharmaceutical companies can leverage RWE to inform internal decisions made throughout the product development process. Specifically, this article will review use of RWD to guide pipeline and portfolio strategy; use of novel sources of RWD to inform product development, use of RWD to inform clinical development, use of advanced analytics to harness "big" RWD, and considerations when using RWD to inform internal decisions. Topics discussed will include the use of molecular, clinicogenomic, medical imaging, radiomic, and patient-derived xenograft data to augment traditional sources of RWE, the use of RWD to inform clinical trial eligibility criteria, enrich trial population based on predicted response, select endpoints, estimate sample size, understand disease progression, and enhance diversity of participants, the growing use of data tokenization and advanced analytical techniques based on artificial intelligence in RWE, as well as the importance of data quality and methodological transparency in RWE.

Towards Pharma 4.0 in clinical trials: A future-orientated perspective.

Pharma 4.0, a technology ecosystem in drug development analogous to Industry 4.0 in healthcare, is transforming the traditional approach to drug discovery and development, aligning product quality with less time to market, and creating intelligent stakeholder networks through effective collaborations. The wide range of potential Pharma 4.0 networks have produced several conceptualizations, which have led to a lack of clarity and definition. The main emphasis of this paper is on the clinical trial stage of drug development in the Pharma 4.0 era. It highlights the merged computerized technologies that are currently used in clinical research, and proposes a framework for integrating Pharma 4.0 technologies. The impact of and barriers to employing the proposed framework are discussed, highlighting its potential and some future research applications.

Self-reporting data assets and their representation in the pharmaceutical industry.

Standardizing data is crucial for preserving and exchanging scientific information. In particular, recording the context in which data were created ensures that information remains findable, accessible, interoperable, and reusable. Here, we introduce the concept of self-reporting data assets (SRDAs), which preserve data and contextual information. SRDAs are an abstract concept, which requires a suitable data format for implementation. Four promising data formats or languages are popularly used to represent data in pharma: JCAMP-DX, JSON, AnIML, and, more recently, the Allotrope Data Format (ADF). Here, we evaluate these four options in common use cases within the pharmaceutical industry using multiple criteria. The evaluation shows that ADF is the most suitable format for the implementation of SRDAs.

The pandemic and resilience for the future: AccBio 2021.

The year 2020 brought the onslaught of a global crisis in the form of the COVID-19 pandemic. While nearly every facet of everyday life and work was impacted by the pandemic, the biopharmaceutical industry found silver linings in innovation, partnership, and resiliency, all of which contributed to unprecedented speed in developing and delivering vaccines and therapies. The 7th International Conference on Accelerating Biopharmaceutical Development (AccBio 2021) brought together industry leaders to share experiences from the past year and discuss how lessons learned from the pandemic can be carried forward into the future of biopharmaceutical development. Presenters highlighted examples such as introducing biotherapeutics derived from non-clonal cell pools into the clinic, developing modular or platform technologies, and taking novel risks, among others. These strategies for enabling speed to clinic and launch, as well as for sustaining a robust supply chain, are likely to be integrated into future programs to ensure biomanufacturing resiliency and get medicines to patients faster than pre-pandemic times.

Desenvolvimento de rota sintética da Rosiglitazona em processo batelada e microrreator capilar / Rosiglitazone synthetic route development in batch process and capillary microreactor

Para que os fármacos possam ser comercializados economicamente, a sua escala de produção deve ser aumentada para atender à demanda do mercado. Atualmente, a maior parte dos fármacos são sintetizados em processos batelada que possuem limitações quanto à eficiência de mistura, temperatura e pressão. O uso de microrreatores surge como alternativa na indústria químico-farmacêutica, aumentando a eficiência dos processos de maneira segura. Ferramentas utilizadas no segmento computacional multidisciplinar teórico, como o DFT (Density Functional Theory), podem prever e compreender o comportamento das reações químicas, podendo ter grande utilidade na síntese de novos fármacos economizando tempo, investimento e reduzindo a geração de resíduos. A diabetes mellitus é uma doença de caráter epidêmico, que a cada ano vem aumentando o número de casos. O emprego de fármacos derivados das glitazonas no tratamento de diabetes mellitus tipo 2 é recomendado devido ao excelente controle glicêmico que esta classe de fármacos oferece. Neste trabalho, foi sintetizada a Rosiglitazona, um fármaco derivado das glitazonas, que auxilia no tratamento da diabetes mellitus tipo 2, sendo estudadas duas rotas de síntese distintas, que foram otimizadas com o intuito de maximizar o rendimento de seus intermediários, obtendo a Rosiglitazona com pureza de cerca de 94%. Foi realizada, para os intermediários, aqui denominados, 1R, 2R2 e 3R2 a síntese one-pot e para os intermediários 1R, 2R1 e 3R2 foi realizada a transposição do processo usual em batelada para fluxo contínuo no microrreator, com rendimentos de até 93%. Com o auxílio da química quântica computacional, a reação de síntese do intermediário 1R, foi elucidada teoricamente e determinadas as grandezas termodinâmicas (ΔH‡, ΔG‡ e ΔS‡) no estado de transição, que foram comparadas com os valores experimentais, sendo constatada uma boa concordância, com desvio máximo de 14%

In order for drugs to be commercialized economically, their production scale must be increased to meet market demand. Currently, most drugs are synthesized in batch processes that have limitations in terms of mixing efficiency, temperature and pressure. The use of microreactors appears as an alternative in the chemical-pharmaceutical industry, increasing the efficiency of the synthesis processes in a safe way. Tools used in the theoretical multidisciplinary computational segment, such as DFT (Density Functional Theory), can predict and understand the behavior of chemical reactions, and can be very useful in the synthesis of new drugs, saving time, investment and reducing waste generation. Diabetes mellitus is an epidemic disease that has been increasing the number of cases every year. The use of drugs derived from glitazones in the treatment of type 2 diabetes mellitus is recommended due to the excellent glycemic control that this class of drugs offers. In this work, Rosiglitazone, a drug derived from glitazones, which helps in the treatment of type 2 diabetes mellitus, was synthesized. Two different synthetic routes were studied and optimized in order to maximize the yield of its intermediates, obtaining Rosiglitazone with purity of about 94%. One-pot synthesis was performed to 1R, 2R2 and 3R2 intermediates, and the transposition from the usual batch process to continuous flow in microreactor was performed to 1R, 2R1 and 3R2 intermediates, with yields of up to 93%. With the aid of computational quantum chemistry, the intermediate 1R synthesis reaction was theoretically elucidated and the thermodynamic properties were determined (ΔH‡, ΔG‡ and ΔS‡) in the transition state, which were compared with the experimental results, obtaining good agreement, with a maximum deviation of 14%

Regulatory utility of pharmacometrics in the development and evaluation of antimicrobial agents and its recent progress in China.

Pharmacometrics is an emerging science that interprets drug, disease, and trial information in a mathematical fashion to inform and facilitate efficient drug development and/or regulatory decisions. Pharmacometrics study is increasingly adopted in the regulatory review of new antimicrobial agents. We summarized the 31 antimicrobial agents approved by the US Food and Drug Administration (FDA) and the 26 antimicrobial agents approved by European Medicines Agency (EMA) from January 2001 to May 2019. We also reviewed recent examples of utilizing pharmacometrics to support antimicrobial agent's registration in China, including modeling and simulation methods, effects of internal/external factors on pharmacokinetic (PK) parameters, safety and efficacy evaluation in terms of exposure-response analysis, refinement of the wording of product labeling and package leaflet, and possible postmarketing clinical trial. Ongoing communication among regulator, academia, and industry regarding pharmacometrics is encouraged to streamline and facilitate the development of new antimicrobial agents. The industry can maximize its benefit in drug development through continued pharmacometrics education/training.

Second Paediatric Strategy Forum for anaplastic lymphoma kinase (ALK) inhibition in paediatric malignancies: ACCELERATE in collaboration with the European Medicines Agency with the participation of the Food and Drug Administration.

The first (2017) and sixth (2021) multistakeholder Paediatric Strategy Forums focused on anaplastic lymphoma kinase (ALK) inhibition in paediatric malignancies. ALK is an important oncogene and target in several paediatric tumours (anaplastic large cell lymphoma [ALCL], inflammatory myofibroblastic tumour [IMT], neuroblastoma and hemispheric gliomas in infants and young children) with unmet therapeutic needs. ALK tyrosine kinase inhibitors have been demonstrated to be active both in ALK fusion-kinase positive ALCL and IMT. ALK alterations differ, with fusions occurring in ALCL, IMT and gliomas, and activating mutations and amplification in neuroblastoma. While there are many ALK inhibitors in development, the number of children diagnosed with ALK driven malignancies is very small. The objectives of this ALK Forum were to (i) Describe current knowledge of ALK biology in childhood cancers; (ii) Provide an overview of the development of ALK inhibitors for children; (iii) Identify the unmet needs taking into account planned or current ongoing trials; (iv) Conclude how second/third-generation inhibitors could be evaluated and prioritised; (v) Identify lessons learnt from the experience with ALK inhibitors to accelerate the paediatric development of other anti-cancer targeted agents in the new regulatory environments. There has been progress over the last four years, with more trials of ALK inhibitors opened in paediatrics and more regulatory submissions. In January 2021, the US Food and Drug Administration approved crizotinib for the treatment of paediatric and young adult patients with relapsed or refractory ALCL and there are paediatric investigation plans (PIPs) for brigatinib and for crizotinib in ALCL and IMT. In ALCL, the current goal is to investigate the inclusion of ALK inhibitors in front-line therapy with the aim of decreasing toxicity with higher/similar efficacy compared to present first-line therapies. For IMT, the focus is to develop a joint prospective trial with one product in children, adolescents and adults, taking advantage of the common biology across the age spectrum. As approximately 50% of IMTs are ALK-positive, molecular analysis is required to identify patients to be treated with an ALK inhibitor. For neuroblastoma, crizotinib has not shown robust anti-tumour activity. A focused and sequential development of ALK inhibitors with very good central nervous system (CNS) penetration in CNS tumours with ALK fusions should be undertaken. The Forum reinforced the strong need for global academic collaboration, very early involvement of regulators with studies seeking possible registration and early academia-multicompany engagement. Innovations in study design and conduct and the use of 'real-world data' supporting development in these rare sub-groups of patients for whom randomised clinical trials are not feasible are important initiatives. A focused and sequenced development strategy, where one product is evaluated first with other products being assessed sequentially, is applicable for ALK inhibitors and other medicinal products in children.