Summary of Study ST002350
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 PR001064. The data can be accessed directly via it's Project DOI: 10.21228/M85H6W This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST002350 |
| Study Title | Identify putative volatile biomarkers of Valley fever using a murine lung infection model |
| Study Type | Untargeted metabolomics |
| Study Summary | Coccidioides immitis and Coccidioides posadasii are soil-dwelling fungi of arid regions in North and South America that are responsible for Valley fever (coccidioidomycosis). Forty percent of patients with Valley fever exhibit symptoms ranging from mild, self-limiting respiratory infections, to severe, life-threatening pneumonia that requires treatment. Misdiagnosis as bacterial pneumonia commonly occurs in symptomatic Valley fever cases, resulting in inappropriate treatment with antibiotics, increased medical costs, and delay in diagnosis. In this study, we explored the feasibility of developing breath-based diagnostics for Valley fever using a murine lung infection model. To investigate potential volatile biomarkers of Valley fever that arise from host-pathogen interactions, we infected C57BL/6J mice with C. immitis RS and C. posadasii Silveira via intranasal inoculation. We collected bronchoalveolar lavage fluid (BALF) for cytokine profiling and for untargeted volatile metabolomics via solid phase microextraction (SPME) and two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC×GC-TOFMS). We identified 36 volatile organic compounds (VOCs) that were significantly correlated to cytokine abundances and clustered mice by disease severity. These 36 VOCs were also able to separate mice with a moderate to high disease severity by infection strain. The data presented here show that Coccidioides and/or the host produce volatile metabolites that may yield biomarkers for a Valley fever breath test that can detect Coccidioidal infection and provide clinically relevant information on disease severity. |
| Institute | Arizona State University |
| Department | School of Life Sciences |
| Laboratory | Bean Laboratory |
| Last Name | Bean |
| First Name | Heather |
| Address | PO Box 874501 |
| Heather.D.Bean@asu.edu | |
| Phone | 4807273395 |
| Submit Date | 2022-09-30 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | smp |
| Analysis Type Detail | GC-MS |
| Release Date | 2023-01-02 |
| Release Version | 1 |
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Project:
| Project ID: | PR001064 |
| Project DOI: | doi: 10.21228/M85H6W |
| Project Title: | Volatile Biomarkers for a Valley Fever Breath Test |
| Project Type: | GCxGC-TOFMS metabolomics |
| Project Summary: | Coccidioidomycosis, or valley fever, is prevalent in AZ, with more than 12,000 new human infections diagnosed every year. In highly endemic areas, e.g., Phoenix and Tucson, up to 30% of community-acquired pneumonia may be caused by Valley fever, and cases are on the rise. The current diagnostics for Valley fever are severely lacking due to invasiveness (biopsy) and poor sensitivity (serology), strongly contributing to an unacceptable 23-day median time-to-diagnosis. There is a critical need for sensitive and non-invasive diagnostics for identifying Valley fever lung infections. Our long-term goal is to substantially shorten the time-to-diagnosis for Valley fever through the development of sensitive and specific breath-based diagnostics for coccidioidomycosis lung infections. The overall objective of this application is to identify and validate putative volatile biomarkers of Coccidioides infections via metabolomics analyses of in vitro cultures, mouse model lung infections, and lung specimens from humans with Valley fever. At the completion of the proposed study, we expect to have identified and validated a panel of 10-15 volatile biomarkers for the sensitive and specific detection of valley fever in lung specimens. |
| Institute: | Arizona State University |
| Department: | School of Life Sciences |
| Laboratory: | Bean Laboratory |
| Last Name: | Bean |
| First Name: | Heather |
| Address: | PO Box 874501, Tempe, AZ, 85287, USA |
| Email: | Heather.D.Bean@asu.edu |
| Phone: | 480-727-3395 |
| Funding Source: | Arizona Biomedical Research Centre New Investigator Award to HDB |
