Laure Deramoudt, Marine Pinturaud, Peggy Bouquet, Anne Goffard, Nicolas Simon, Pascal Odou
{"title":"Method for the detection and quantification of viral contamination during the preparation of gene therapy drugs in a hospital pharmacy.","authors":"Laure Deramoudt, Marine Pinturaud, Peggy Bouquet, Anne Goffard, Nicolas Simon, Pascal Odou","doi":"10.1136/oemed-2024-109574","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The objective of the present study was to develop a method for sampling and detecting an adenovirus-derived gene therapy (GT) vector on isolator worksurfaces.</p><p><strong>Methods: </strong>We used a quantitative PCR (q-PCR) to detect the viral genome in standard dilutions of pure GT product and extracts of sampled surfaces. We compared three devices for surface sampling (a cotton compress, a cotton swab and a polyester flocked swab) and performed positive control, negative control and induced contamination tests for each.</p><p><strong>Results: </strong>Our results showed that the GT pure product is detected by the q-PCR assay and is amplified throughout the range of dilutions. The mean difference between the expected and measured number of vector particles in the q-PCR assay was 1.27 log. The numbers of particles in the total extracted volume were 4.66×10<sup>8</sup> for the polyester swab (7.8% of the initial quantity), 3.82×10<sup>8</sup> for a cotton compress (6.4%) and 2.88×10<sup>7</sup> for a cotton swab (4.8%).</p><p><strong>Conclusion: </strong>These initial results suggest that viral monitoring of worksurfaces is feasible and will help us to validate the GT product supply chain.</p>","PeriodicalId":19459,"journal":{"name":"Occupational and Environmental Medicine","volume":" ","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Occupational and Environmental Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/oemed-2024-109574","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: The objective of the present study was to develop a method for sampling and detecting an adenovirus-derived gene therapy (GT) vector on isolator worksurfaces.
Methods: We used a quantitative PCR (q-PCR) to detect the viral genome in standard dilutions of pure GT product and extracts of sampled surfaces. We compared three devices for surface sampling (a cotton compress, a cotton swab and a polyester flocked swab) and performed positive control, negative control and induced contamination tests for each.
Results: Our results showed that the GT pure product is detected by the q-PCR assay and is amplified throughout the range of dilutions. The mean difference between the expected and measured number of vector particles in the q-PCR assay was 1.27 log. The numbers of particles in the total extracted volume were 4.66×108 for the polyester swab (7.8% of the initial quantity), 3.82×108 for a cotton compress (6.4%) and 2.88×107 for a cotton swab (4.8%).
Conclusion: These initial results suggest that viral monitoring of worksurfaces is feasible and will help us to validate the GT product supply chain.
期刊介绍:
Occupational and Environmental Medicine is an international peer reviewed journal covering current developments in occupational and environmental health worldwide. Occupational and Environmental Medicine publishes high-quality research relating to the full range of chemical, physical, ergonomic, biological and psychosocial hazards in the workplace and to environmental contaminants and their health effects. The journal welcomes research aimed at improving the evidence-based practice of occupational and environmental research; including the development and application of novel biological and statistical techniques in addition to evaluation of interventions in controlling occupational and environmental risks.