Environmental considerations along the life cycle of pharmaceuticals: Interview study on views regarding environmental challenges, concerns, strategies, and prospects within the pharmaceutical industry

Environmental impacts of medicines arise throughout their entire life cycle. The pharmaceutical industry has a key role in reducing these impacts in early production phases, but currently has limited possibilities to reduce the environmental exposure arising from drug consumption and end-of-life. The aim of this interview study was to explore the current environmental actions within the industry, as well as the views and attitudes toward the strategies to address the environmental challenges and concerns. Semi-structured interviews were conducted among representatives (n = 15) from twelve pharmaceutical companies operating in Finland in February-May 2021. The data were analyzed using qualitative content analysis. The representatives of pharmaceutical industry were overall well aware of the multifaceted environmental challenges related to the life cycle of pharmaceuticals and of their role in improving sustainability in production. Improving waste management and reducing impacts from companies' own operations were the most commonly mentioned actions already taking place within the companies (15/15). "Environmental impacts arising from drug consumption" (6/15) and "centralized drug manufacturing in countries with lax environmental regulation" (4/15) were most frequently brought up challenges difficult to resolve. "Development of environmentally more sustainable drug production in the company" was the most frequently raised key development need (5/15). To address this, establishment of tangible economic drivers, regulatory incentives, or reputational rewards were called for. "Incorporation of environmental aspects into decision-making in different situations" was suggested by 11/15 interviewees as a means to promote sustainable development, e.g. in selection of medicines by physicians and consumers. However, the attitudes towards the types of criteria and their evaluation differed between interviewees. Attitudes towards the "incorporation of environmental fate assessment into early phases of drug design and development" were mostly positive (10/11), suggesting that there is a keen interest in the industry to foster the introduction of new tools enabling the development of pharmaceuticals intrinsically less harmful for the environment.

Risk-Based Selection of Environmental Classifications for Biopharmaceutical Operations

This article details a risk-based methodology designed to assign environmental classifications to the different operations in biopharmaceutical facilities manufacturing non-sterile (low bioburden) drug substance. Generally, environmental conditions for active pharmaceutical ingredient manufacture are established based on previous experiences or expectations or on extrapolated interpretations of current good manufacturing practices guidelines. Improvements in equipment design and operation, especially the use of closed systems, allow certain process steps to take place in controlled environment areas rather than in classified clean rooms. However, the design of facilities has not developed to reflect these technological advancements. The result is that facility designs are more complex with multiple environmental classifications, resulting in far higher capital and operational costs than necessary given the current technology and understanding. The authors propose a formal risk assessment-based methodology that is applicable in the early design phase of new facilities and facilitates the fast selection of the environmental conditions required for the different process steps. The risk assessment describes the risk to product quality or patient safety from environmental contamination, and this is expressed in terms of impact, probability, and detectability. The assessment considers growth potential in terms of time, nutrients, and temperature; bioburden limit; level of closure of the system; and the ability of the process to detect contamination to assign an environmental classification. Because closure is a key factor in the methodology, the authors propose a practical definition of closed systems, building on existing International Society for Pharmaceutical Engineering guidance. A fundamental of the assessment is that closed system operations only require controlled not classified environments, and any increase in classification does nothing further to protect the product. Results of the assessment are discussed in relation to a variety of process steps in different operating scenarios, to demonstrate how the assessment is applied. The methodology strongly supports the implementation of closed systems and demonstrates the limited need for classified areas. With fewer classified rooms, companies can reduce the complexity of facility layout and save costs without compromising patient safety or product quality.

Pharmaceuticals and Environment: a web-based decision support for considering environmental aspects of medicines in use

Purpose

The database Pharmaceuticals and Environment is a non-commercial, freely available web-based decision support presenting compiled environmental information for pharmaceutical substances. It was developed by Region Stockholm and launched in 2016 at janusinfo.se. The purpose of this paper is to present the database, report on its current use, and reflect on lessons learned from developing and managing the database.

Methods

A standard operating procedure describes the work and content of the database, e.g., how information is retrieved, processed, and presented. Google Analytics was used for metrics. Issues related to the database have been discussed and handled by a reference group. The experiences from this work are presented.

Results

The database contains environmental hazard and risk information, primarily gathered from regulatory authorities and pharmaceutical companies. There are also assessments comparing substances within some groups of pharmaceuticals. The database is used by the Swedish Drug and Therapeutics Committees to include environmental aspects when recommending pharmaceuticals for health care providers. Page views show that users primarily look for information on commonly used substances, e.g., diclofenac and paracetamol/acetaminophen. Major problems for the development of the database are lack of data, lack of transparency, and discrepancies in the available environmental information.

Conclusion

In the absence of an adequate decision support produced by the regulatory authorities, we find the database Pharmaceuticals and Environment to be useful for Swedish Drug and Therapeutics Committees and health care providers, and it is our belief that the information can be valuable also in other settings.

Environmental metagenome classification for constructing a microbiome fingerprint

BACKGROUND

Nowadays, not only are single genomes commonly analyzed, but also metagenomes, which are sets of, DNA fragments (reads) derived from microbes living in a given environment. Metagenome analysis is aimed at extracting crucial information on the organisms that have left their traces in an investigated environmental sample.In this study we focus on the MetaSUB Forensics Challenge (organized within the CAMDA 2018 conference) which consists in predicting the geographical origin of metagenomic samples. Contrary to the existing methods for environmental classification that are based on taxonomic or functional classification, we rely on the similarity between a sample and the reference database computed at a reads level.

RESULTS

We report the results of our extensive experimental study to investigate the behavior of our method and its sensitivity to different parameters. In our tests, we have followed the protocol of the MetaSUB Challenge, which allowed us to compare the obtained results with the solutions based on taxonomic and functional classification.

CONCLUSIONS

The results reported in the paper indicate that our method is competitive with those based on taxonomic classification. Importantly, by measuring the similarity at the reads level, we avoid the necessity of using large databases with annotated gene sequences. Hence our main finding is that environmental classification of metagenomic data can be proceeded without using large databases required for taxonomic or functional classification.

REVIEWERS

This article was reviewed by Eran Elhaik, Alexandra Bettina Graf, Chengsheng Zhu, and Andre Kahles.