Application of quantitative structure activity relationship (QSAR) models to predict ozone toxicity in the lung

Ozone Therapy in Medicine and Dentistry: A Review of the Literature

Ozone has been successfully used in medicine for over 100 years due to its microbiological qualities. Its powerful oxidation impact, which results in the production of free radicals, and its ability to cause the direct death of nearly all microorganisms is the basis for its bactericide, virucide, and fungicide properties. Ozone also has a medicinal impact that speeds up blood flow and aids wound healing. Ozone may be applied as a gas or dissolved in water for medical purposes. Despite the benefits of using ozone therapeutically, concerns about its use in dentistry still exist. We aimed to provide a summary of the current uses of ozone in medicine and dentistry. An electronic search was performed for all English scientific papers published between 2012 and 2023 using PubMed, Cochrane, and Google Scholar search engines. Ozone, clinical applications, medicine, and dentistry were the search terms used. Seventy full-text articles describing the use of ozone therapy in medicine and dentistry were included in the present review. Ozone has shown several beneficial effects in the medical field. However, despite the encouraging in vitro evidence, the clinical use of ozone in dentistry has not yet been demonstrated as highly effective.

Transparency in Non-Technical Project Summaries to Promote the Three Rs in Respiratory Disease Research

Non-Technical Project Summaries (NTS) are legal documents that were first introduced by the Directive 2010/63/EU to enhance transparency within scientific animal experimentation. Researchers intending to conduct biological research on animal models must fulfil the NTS requirements by outlining their proposed use of animals and how they plan to implement the Three Rs (replacement, reduction and refinement of animal use) in their experiments. This study outlines a novel systematic analysis approach that enables the assessment of NTS transparency based on the accuracy of reporting of certain Three Rs-specific information. This potentially customisable strategy could help toward the development of practical guidelines for use by Animal Welfare and Ethical Review Bodies (AWERBs) in establishments conducting animal research, in the process of scrutinising NTS during their pre-submission review of proposed licence applications. This could help to identify gaps in reporting of Three Rs-specific information relating to the planned animal experiments, which represents a remarkable step toward achieving greater openness in scientific communication. This study supports the concept that NTS transparency can promote the implementation of non-animal alternatives in fields where this is currently lacking, such as respiratory disease research. Although NTS were originally conceived as informative documents for a lay audience, we can conclude that data in NTS can be successfully used as a basis for systematic analysis. By reviewing the NTS, the experimental limitations of the currently available replacement strategies can also be highlighted, potentially pinpointing where there is a need for future method development.

In Silico Models for Predicting Acute Systemic Toxicity

In this chapter, we give a brief overview of the regulatory requirements for acute systemic toxicity information in the European Union, and we review structure-based computational models that are available and potentially useful in the assessment of acute systemic toxicity. Emphasis is placed on quantitative structure-activity relationship (QSAR) models implemented by means of a range of software tools. The most recently published literature models for acute systemic toxicity are also discussed, and perspectives for future developments in this field are offered.

In Silico Models for Acute Systemic Toxicity

In this chapter, we give an overview of the regulatory requirements for acute systemic toxicity information in the European Union, and we review the availability of structure-based computational models that are available and potentially useful in the assessment of acute systemic toxicity. The most recently published literature models for acute systemic toxicity are also discussed, and perspectives for future developments in this field are offered.