Olsen, K. E. | Search bioRxiv

bioRxiv2023

Propionate reinforces epithelial identity and reduces aggressiveness of non-small cell lung carcinoma via chromatin remodelling

Epithelial to mesenchymal transition (EMT) is a developmental cellular program driving metastasis and chemo-resistance in cancer, but its pharmacological treatment has been so far challenging. Targeting deregulated metabolic processes in cancer is emerging as a realistic therapeutic strategy. Here, we used an EMT-focussed integrative functional genomic approach and identified negative association of the short-chain fatty acids propionate and butanoate with EMT in non-small cell lung cancer (NSCLC) patients. Strikingly, in vitro treatment of lung cancer cell lines with propionate reinforced the epithelial transcriptional program promoting cell adhesion and reverting the aggressive and chemoresistant EMT phenotype. Propionate treatment reduced cells metastatic ability in nude mice and limited lymph nodal spread in a genetic NSCLC mouse model. Further analyses indicated chromatin remodeling via H3K27 acetylation (p300-mediated) as the mechanism shifting the EMT balance towards epithelial state upon propionate. Propionate administration could be tested in the clinic for reducing NSCLC aggressiveness. HighlightsAn EMT-centric investigation of metabolic processes in a comprehensive lung cancer transcriptome profiles identified negative associations between EMT and SCFAs (propionate and butyrate) Propionate enhances the epithelial features both at the molecular and cellular levels Pre-treatment of cells with propionate inhibits EMT associated processes including migration and sensitizes the cells to chemotherapeutic drug cisplatin Oral administration of propionate inhibits EMT-mediated lung colonization ability of NSCLC cells, and lymph node metastasis in a genetic mouse NSCLC model Molecular mechanistic investigation of propionate revealed chromatin remodelling through p300-mediated histone acetylation in E-cadherin gene regulation along with epithelial features reinforcement

cancer biology↗

bioRxiv2022

Detection of low numbers of bacterial cells in pharmaceutical drug product using Raman Spectroscopy and PLS-DA multivariate analysis.

Sterility testing is a laborious and slow process to detect contaminants present in drug products. Raman spectroscopy is a promising label-free tool to detect microorganisms and thus gaining relevance as future alternative culture-free method for sterility testing in pharmaceutical industry. However, reaching detection limits similar to standard procedures while keeping a high accuracy remains challenging, due to weak bacterial Raman signal. In this work, we show a new non-invasive approach focusing on detect different bacteria in concentrations below 100 CFU/ml within drug product containers using Raman spectroscopy and multivariate data analysis. Even though Raman spectra form drug product with and without bacteria are similar, a partial least squared discriminant analysis (PLS-DA) model shows great performance to distinguish samples with bacteria contaminants in limits below 10 CFU/ml. We use spiked samples with bacteria spores for independent validation achieving a detection accuracy of 99%. Our results indicate a great potential of this rapid, and cost-effective approach to be use in quality control of pharmaceutical industry.

bioengineering↗