ATMP Environmental Exposure Assessment in European Healthcare Settings: A Systematic Review of the Literature

[Advanced therapy medicinal products' (ATMP) pharmaceutical circuit in France: Current situation and outlook]

OBJECTIVES

Advanced therapy medicinal products' reconstitution is an innovative pharmaceutical activity. The purpose of this work is to evaluate the current situation in France within hospital pharmacies.

METHODS

An electronic questionnaire (90 questions) was sent to previously identified French pharmaceutical teams exploring advanced therapy medicinal products' reconstitution process in its various aspects.

RESULTS

Thirty-eight pharmacists completed the survey. The ATMPs reconstitution is very largely carried out by pharmaceutical teams in charge of other activities, even if dedicated teams are beginning to appear. Gene therapy represents majority among advanced therapy medicinal products. The premises are very often shared, especially the controlled atmosphere areas. These vary greatly in nature, as do facilities used. The ultra-low temperature storage is most frequently used and the nitrogen equipment of hospital pharmacies is yet observed and tends to expand. Simple reconstitution processes (thawing, dilution) are mostly carried out in hospital pharmacies. The traceability still largely relies on different software and/or the use of paper formats. The reconstitution process needs devoted pharmaceutical time according to the active queues, sometimes exceeding 200 patients per year.

FINDINGS

If the hospital pharmacists is going to take charge of this activity on a constant basis, the regulatory context and the increase in active queues will require a real investment plan from the public authorities in this activity to effectively implement ATMPs reconstitution to the greatest benefit of patients.

Pharmacovigilance for rare diseases: a bibliometrics and knowledge-map analysis based on web of science

OBJECTIVES

The aims of this paper is to search and explore publications in the field of pharmacovigilance for rare diseases and to visualize general information, research hotspots, frontiers and future trends in the field using the bibliometric tool CiteSpace to provide evidence-based evidence for scholars.

METHODS

We searched the Web of Science Core Collection (WoSCC) for studies related to pharmacovigilance for rare diseases, spanning January 1, 1997-October 25, 2022. CiteSpace software was utilized to discuss countries/regions, institutions, authors, journals, and keywords.

RESULTS

After screening, a total of 599 valid publications were included in this study, with a significant upward trend in the number of publications. These studies were from 68 countries/regions with the United States and the United Kingdom making the largest contributions to the field. 4,806 research scholars from 493 institutions conducted studies on pharmacovigilance for rare diseases. Harvard University and University of California were the top two productive institutions in the research field. He Dian of the Affiliated Hospital of Guizhou Medical University and Peter G.M. Mol of the University of Groningen, The Netherlands, were the two most prolific researchers. The Cochrane Database of Systematic Reviews and the New England Journal of Medicine were the journals with the highest number of articles and co-citation frequency respectively. Clinical trial, therapy and adverse event were the top three most cited keywords.

CONCLUSIONS

Based on keywords co-occurrence analysis, four research topics were identified: orphan drug clinical trials, postmarketing ADR surveillance for orphan drugs, rare diseases and orphan drug management, and diagnosis and treatment of rare diseases. Immune-related adverse reactions and benefit-risk assessment of enzyme replacement therapy were at the forefront of research in this field. Treatment outcomes, early diagnosis and natural history studies of rare diseases may become hotspots for future research.

Promoting Sustainability through Next-Generation Biologics Drug Development

The fourth industrial revolution in 2011 aimed to transform the traditional manufacturing processes. As part of this revolution, disruptive innovations in drug development and data science approaches have the potential to optimize CMC (chemistry, manufacture, and control). The real-time simulation of processes using “digital twins” can maximize efficiency while improving sustainability. As part of this review, we investigate how the World Health Organization’s 17 sustainability goals can apply toward next-generation drug development. We analyze the state-of-the-art laboratory leadership, inclusive personnel recruiting, the latest therapy approaches, and intelligent process automation. We also outline how modern data science techniques and machine tools for CMC help to shorten drug development time, reduce failure rates, and minimize resource usage. Finally, we systematically analyze and compare existing approaches to our experiences with the high-throughput laboratory KIWI-biolab at the TU Berlin. We describe a sustainable business model that accelerates scientific innovations and supports global action toward a sustainable future.