Summary of Study ST001365

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000933. The data can be accessed directly via it's Project DOI: 10.21228/M8398Z This work is supported by NIH grant, U2C- DK119886.

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Study IDST001365
Study TitleAntibiotics in Cystic Fibrosis Sputum
Study TypeClinical
Study SummaryDetection of 18 antibiotics in 171 cystic fibrosis sputum samples from the Phase 1 Clinical Study.
Institute
University of California, Irvine
Last NameGallagher
First NameTara
Address3315 McGaugh Hall, UC IRVINE, Irvine, CA, 92697, USA
Emailtgallagh@uci.edu
Phone9498243509
Submit Date2020-04-23
Raw Data AvailableYes
Raw Data File Type(s)raw(Waters)
Analysis Type DetailLC-MS
Release Date2020-06-01
Release Version1
Tara Gallagher Tara Gallagher
https://dx.doi.org/10.21228/M8398Z
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR000933
Project DOI:doi: 10.21228/M8398Z
Project Title:Antibiotics in Cystic Fibrosis Sputum
Project Summary:Antibiotics have enormous impact on microbial communities, yet many studies focused on microbiome and health are confounded by limited information about antibiotic exposure. Given that antibiotics have diverse pharmacokinetic and antibacterial properties, investigating the type, concentration and location would help us understand what microbes encounter at an infection site. Here, we developed Liquid Chromatography Mass Spectrometry (LC-MS) methods to detect 18 antibiotics in clinical samples using cystic fibrosis sputum as an application. Three liquid extraction methods were compared with spike-in controls of antibiotics on the Waters Acquity Quattro Premier XE. Extraction with dithiothreitol captured the most antibiotics and was then used to detect antibiotics in sputum samples from 11 people with cystic fibrosis in comparison to self-reported antibiotic use. For the sputum samples, the Quattro Premier XE method detected nanomolar or micromolar concentrations of 16 antibiotics. In 71 of the 158 sputum samples, at least one antibiotic that was not reported by the subject was detected by the LC-MS method, a discordance largely explained by alternating usage and the long half-life of azithromycin. For ~37% of samples, antibiotics were marked by the subject but were not detected, which has implications for in vivo antibiotic penetrance and efficacy. Our study takes the first step in detecting antibiotics at the infection site, with future goals of incorporating accurate antibiotic data into microbiome studies.
Institute:University of California, Irvine
Department:Molecular Biology & Biochemistry
Laboratory:Katrine Whiteson
Last Name:Gallagher
First Name:Tara
Address:3315 McGaugh Hall, UC IRVINE, Irvine, CA, 92697, USA
Email:tgallagh@uci.edu
Phone:9498243509
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