Philip Moos, Jenna Cheminant, Ujjwal Adhikari, Alessandro Venosa
{"title":"Transcriptomic-based roadmap to the healthy and ozone-exposed lung","authors":"Philip Moos, Jenna Cheminant, Ujjwal Adhikari, Alessandro Venosa","doi":"10.1016/j.cotox.2023.100445","DOIUrl":"10.1016/j.cotox.2023.100445","url":null,"abstract":"<div><p>The lung is constantly exposed to a myriad of exogenous stressors. Ground-level ozone represents a ubiquitous and extremely reactive anthropogenic toxicant, impacting the health of millions across the globe. While abundant, epidemiological, <em>in vivo</em>, and <em>in vitro</em> data focuses the ozone toxicity in individual cell types (e.g. epithelial type II, alveolar macrophages) or signaling pathways involved in the injury (e.g. akt, glutathione). When appropriately used, bulk and single-cell RNA sequencing techniques have the potential to provide complete, and in certain cases unbiased, information of the molecular events taking place in the steady-state and injured lung, and even capture the phenotypic diversity of neighboring cells. To this end, this review compiles information pertaining to the latest understanding of lung cell identity and activation in the steady-state and ozone-exposed lung. In addition, it discusses the value and benefits of multi-omics approaches and other tools developed to predict cell–cell communication and dissect spatial heterogeneity.</p></div>","PeriodicalId":93968,"journal":{"name":"Current opinion in toxicology","volume":"37 ","pages":"Article 100445"},"PeriodicalIF":4.6,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468202023000608/pdfft?md5=c638bcf1fa63e7c44f50b43e2c986646&pid=1-s2.0-S2468202023000608-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138529934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advanced technologies in genomic toxicology: Current trend and future directions","authors":"Pasquale Capone, Pieranna Chiarella, Renata Sisto","doi":"10.1016/j.cotox.2023.100444","DOIUrl":"10.1016/j.cotox.2023.100444","url":null,"abstract":"<div><p>Toxicogenomics is a subdiscipline of toxicology that assesses the toxicity using a combination of genomics, advanced computational technologies, and other high-throughput techniques. In the last few years, the rapid evolution of technologies such as transcriptomics, proteomics, metabolomics, and computational technologies allowed the application of a more flexible strategy for the risk assessment due to exposure to chemical and xenobiotic substances. The integration of bioinformatics approaches with novel genomic technologies permits extraordinary advancements in different fields of biology, toxicology, medicine, and, in particular, in occupational medicine, making accessible a “personalized” approach to this discipline. The scope of this paper is to investigate the recent trend of genomic toxicology in combination with bioinformatics approaches and its novel application in toxicological studies with reference to our experience and findings. In particular, it is shown how the dose biomarkers, the pollutants urine metabolites in our case, allow a precise exposure assessment whilst effect biomarkers can be individuated, significantly associated with the former. Among the effect biomarkers, our experience is mainly focused on oxidative stress biomarkers and miRNA profiles. Finally, it is shown how the early effect biomarkers are dysregulated when specific clinical outcomes are occurring. This early dysregulation can be used as individual susceptibility biomarker.</p></div>","PeriodicalId":93968,"journal":{"name":"Current opinion in toxicology","volume":"37 ","pages":"Article 100444"},"PeriodicalIF":4.6,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468202023000591/pdfft?md5=9126629f8ba9407328b06c7c140847e8&pid=1-s2.0-S2468202023000591-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138529967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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