دورية أكاديمية
Metabolomics of pulmonary exacerbations reveals the personalized nature of cystic fibrosis disease
| العنوان: | Metabolomics of pulmonary exacerbations reveals the personalized nature of cystic fibrosis disease |
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| المؤلفون: | Robert A. Quinn, Yan Wei Lim, Tytus D. Mak, Katrine Whiteson, Mike Furlan, Douglas Conrad, Forest Rohwer, Pieter Dorrestein |
| المصدر: | PeerJ, Vol 4, p e2174 (2016) |
| بيانات النشر: | PeerJ Inc., 2016. |
| سنة النشر: | 2016 |
| المجموعة: | LCC:Medicine LCC:Biology (General) |
| مصطلحات موضوعية: | Personalized medicine, Cystic fibrosis, Metabolomics, Exacerbation, Mass spectrometry, Medicine, Biology (General), QH301-705.5 |
| الوصف: | Background. Cystic fibrosis (CF) is a genetic disease that results in chronic infections of the lungs. CF patients experience intermittent pulmonary exacerbations (CFPE) that are associated with poor clinical outcomes. CFPE involves an increase in disease symptoms requiring more aggressive therapy. Methods. Longitudinal sputum samples were collected from 11 patients (n = 44 samples) to assess the effect of exacerbations on the sputum metabolome using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The data was analyzed with MS/MS molecular networking and multivariate statistics. Results. The individual patient source had a larger influence on the metabolome of sputum than the clinical state (exacerbation, treatment, post-treatment, or stable). Of the 4,369 metabolites detected, 12% were unique to CFPE samples; however, the only known metabolites significantly elevated at exacerbation across the dataset were platelet activating factor (PAF) and a related monacylglycerophosphocholine lipid. Due to the personalized nature of the sputum metabolome, a single patient was followed for 4.2 years (capturing four separate exacerbation events) as a case study for the detection of personalized biomarkers with metabolomics. PAF and related lipids were significantly elevated during CFPEs of this patient and ceramide was elevated during CFPE treatment. Correlating the abundance of bacterial 16S rRNA gene amplicons to metabolomics data from the same samples during a CFPE demonstrated that antibiotics were positively correlated to Stenotrophomonas and Pseudomonas, while ceramides and other lipids were correlated with Streptococcus, Rothia, and anaerobes. Conclusions. This study identified PAF and other inflammatory lipids as potential biomarkers of CFPE, but overall, the metabolome of CF sputum was patient specific, supporting a personalized approach to molecular detection of CFPE onset. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2167-8359 |
| العلاقة: | https://peerj.com/articles/2174.pdfTest; https://peerj.com/articles/2174Test/; https://doaj.org/toc/2167-8359Test |
| DOI: | 10.7717/peerj.2174 |
| الوصول الحر: | https://doaj.org/article/4b8a9cbc8bb347eeb74da3b1fef4d802Test |
| رقم الانضمام: | edsdoj.4b8a9cbc8bb347eeb74da3b1fef4d802 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 21678359 |
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| DOI: | 10.7717/peerj.2174 |