A carregar...
Publicação
Profiling airway microbiome composition through volatilomics
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.21 MB | Adobe PDF |
Orientador(es)
Resumo(s)
The airway microbiome is known to mediate respi-ratory health. However, current available methods for microbiome analysis are time-consuming and/or rep-resent significant costs for a generalized application in clinical practice. Volatilomics has been suggested as a rapid and low-cost approach to screen microbial pro-files in human samples. Therefore, we aimed to study the efficacy of volatilomics in discriminating microbi-al isolates collected from human breath condensate samples. Bacterial strains showing significant growth under conditions simulating the respiratory environ-ment were isolated. Each strain was standardised to an inoculum of 10⁸ CFU/mL and analysed using an elec-tronic nose equipped with a six-sensor matrix. Data were explored through principal component analysis, cluster analysis, pattern analysis, random forests and recursive partitioning regression. One sensor was re-moved from the analysis due to high collinearity. Prin-cipal component analysis was able to separate strains and the control mainly through the second principal component (p = 0.024), characterized by high MQ3 and MQ8 sensor responses. Sensor profile maps showed distinct volatile patterns across strains (Fig-ure 1), suggesting the presence of distinct microbial signatures. However, reproducibility was low between replicas and time since culture. Recursive partitioning for separating sterile controls from inoculated sam-ples showed the highest accuracy (AUC = 0.73). These results show the potential of separation of microbial strains based on volatilomics. Nonetheless, relative robustness was only achieved for the discrimination of sterile vs inoculated samples.
Descrição
Palavras-chave
Electronic nose Metabolomics Microbiome Volatile organic compounds
Contexto Educativo
Citação
Neto, F., Ferraz, R., Vieira, M., Prudêncio, C., & Rufo, J. (2026). Profiling airway microbiome composition through volatilomics. Book of Abstracts of the 8th Meeting on Medicinal Biotechnology, 24. https://edicoes.ipp.pt/index.php/books/catalog/book/251
Editora
Politema