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  1. Article: Current Limitations of Staph Infection Diagnostics, and the Role for VOCs in Achieving Culture-Independent Detection.

    Jenkins, Carrie L / Bean, Heather D

    Pathogens (Basel, Switzerland)

    2023  Volume 12, Issue 2

    Abstract: Staphylococci are broadly adaptable and their ability to grow in unique environments has been widely established, but the most common and clinically relevant staphylococcal niche is the skin and mucous membranes of mammals and birds. ...

    Abstract Staphylococci are broadly adaptable and their ability to grow in unique environments has been widely established, but the most common and clinically relevant staphylococcal niche is the skin and mucous membranes of mammals and birds.
    Language English
    Publishing date 2023-01-24
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2695572-6
    ISSN 2076-0817
    ISSN 2076-0817
    DOI 10.3390/pathogens12020181
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Dependence of the Staphylococcal Volatilome Composition on Microbial Nutrition.

    Jenkins, Carrie L / Bean, Heather D

    Metabolites

    2020  Volume 10, Issue 9

    Abstract: In vitro cultivation of staphylococci is fundamental to both clinical and research microbiology, but few studies, to-date, have investigated how the differences in rich media can influence the volatilome of cultivated bacteria. The objective of this ... ...

    Abstract In vitro cultivation of staphylococci is fundamental to both clinical and research microbiology, but few studies, to-date, have investigated how the differences in rich media can influence the volatilome of cultivated bacteria. The objective of this study was to determine the influence of rich media composition on the chemical characteristics of the volatilomes of
    Language English
    Publishing date 2020-08-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662251-8
    ISSN 2218-1989
    ISSN 2218-1989
    DOI 10.3390/metabo10090347
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Volatile Metabolites in Lavage Fluid Are Correlated with Cytokine Production in a Valley Fever Murine Model.

    Higgins Keppler, Emily A / Van Dyke, Marley C Caballero / Mead, Heather L / Lake, Douglas F / Magee, D Mitchell / Barker, Bridget M / Bean, Heather D

    Journal of fungi (Basel, Switzerland)

    2023  Volume 9, Issue 1

    Abstract: 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, ...

    Abstract 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 proof-of-concept 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 (n = 6), C. posadasii Silveira (n = 6), or phosphate-buffered saline (n = 4) via intranasal inoculation. We measured fungal dissemination and collected bronchoalveolar lavage fluid (BALF) for cytokine profiling and for untargeted volatile metabolomics via solid-phase microextraction (SPME) and two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC×GC-TOFMS). We identified 36 volatile organic compounds (VOCs) that were significantly correlated (p < 0.05) with cytokine abundance. These 36 VOCs clustered mice by their cytokine production and were also able to separate mice with moderate-to-high cytokine production 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 primary pulmonary disease severity.
    Language English
    Publishing date 2023-01-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2784229-0
    ISSN 2309-608X ; 2309-608X
    ISSN (online) 2309-608X
    ISSN 2309-608X
    DOI 10.3390/jof9010115
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Life Cycle Dominates the Volatilome Character of Dimorphic Fungus

    Higgins Keppler, Emily A / Mead, Heather L / Barker, Bridget M / Bean, Heather D

    mSphere

    2021  Volume 6, Issue 2

    Abstract: Valley fever (coccidioidomycosis) is an endemic fungal pneumonia of the North and South American deserts. The causative agents of Valley fever are the dimorphic ... ...

    Abstract Valley fever (coccidioidomycosis) is an endemic fungal pneumonia of the North and South American deserts. The causative agents of Valley fever are the dimorphic fungi
    MeSH term(s) Biomarkers/metabolism ; Breath Tests/methods ; Coccidioides/classification ; Coccidioides/growth & development ; Coccidioides/metabolism ; Coccidioidomycosis/microbiology ; Culture Media/chemistry ; Humans ; Life Cycle Stages ; Metabolome ; Mycelium/growth & development ; Mycelium/metabolism ; Volatile Organic Compounds/analysis
    Chemical Substances Biomarkers ; Culture Media ; Volatile Organic Compounds
    Language English
    Publishing date 2021-04-14
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ISSN 2379-5042
    ISSN (online) 2379-5042
    DOI 10.1128/mSphere.00040-21
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Influence of media on the differentiation of Staphylococcus spp. by volatile compounds.

    Jenkins, Carrie L / Bean, Heather D

    Journal of breath research

    2019  Volume 14, Issue 1, Page(s) 16007

    Abstract: Staphylococcus aureus asymptomatically colonizes a third of the world's population, and it is an opportunistic pathogen that can cause life threatening diseases. To diagnose S. aureus infections, it is necessary to differentiate S. aureus from the ... ...

    Abstract Staphylococcus aureus asymptomatically colonizes a third of the world's population, and it is an opportunistic pathogen that can cause life threatening diseases. To diagnose S. aureus infections, it is necessary to differentiate S. aureus from the ubiquitous human commensal Staphylococcus epidermidis, which beneficially colonizes the skin of all humans. Efforts are underway to identify volatile biomarkers for diagnosing S. aureus infections, but to date no studies have investigated whether S. aureus and S. epidermidis can be reliably differentiated under a variety of growth conditions. The overall goal of this study was to evaluate the influence of growth medium on the ability to differentiate S. aureus and S. epidermidis based on their volatile profiles. We used headspace solid-phase microextraction (HS-SPME) and comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC-TOFMS) to examine the headspace volatiles of S. aureus and S. epidermidis when aerobically grown in four different complex media. We detected 337 volatile features when culturing S. aureus and S. epidermidis in four complex media, termed the staph volatiles, and found only 20%-40% concurrence in the volatiles produced by these two species in any single medium. Using principal components analysis and hierarchical clustering analysis on the staph volatiles, we observed that S. aureus and S. epidermidis clustered independently from each other, and distinctly clustered by growth medium within species. Removing volatiles that are species and/or media-specific from the analysis reduced the resolution between species clusters, but in all models clustering by species overrode clustering by media type. These analyses suggest that, while volatile profiles are media-specific, species differences dominate the staph volatilome. These data enable future investigations into the identification of volatile biomarkers to discriminate staphylococcal pathogens versus commensals, which will improve staph diagnoses and provide insights into the biochemistry of staph infections and immunity.
    MeSH term(s) Biomarkers/analysis ; Breath Tests ; Cluster Analysis ; Culture Media/chemistry ; Gas Chromatography-Mass Spectrometry ; Humans ; Principal Component Analysis ; Solid Phase Microextraction ; Staphylococcus aureus/growth & development ; Staphylococcus aureus/isolation & purification ; Staphylococcus epidermidis/growth & development ; Staphylococcus epidermidis/isolation & purification ; Volatile Organic Compounds/analysis
    Chemical Substances Biomarkers ; Culture Media ; Volatile Organic Compounds
    Language English
    Publishing date 2019-11-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 2381007-5
    ISSN 1752-7163 ; 1752-7155
    ISSN (online) 1752-7163
    ISSN 1752-7155
    DOI 10.1088/1752-7163/ab3e9d
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Addressing Missing Data in GC × GC Metabolomics: Identifying Missingness Type and Evaluating the Impact of Imputation Methods on Experimental Replication.

    Davis, Trenton J / Firzli, Tarek R / Higgins Keppler, Emily A / Richardson, Matthew / Bean, Heather D

    Analytical chemistry

    2022  Volume 94, Issue 31, Page(s) 10912–10920

    Abstract: Missing data is a significant issue in metabolomics that is often neglected when conducting data preprocessing, particularly when it comes to imputation. This can have serious implications for downstream statistical analyses and lead to misleading or ... ...

    Abstract Missing data is a significant issue in metabolomics that is often neglected when conducting data preprocessing, particularly when it comes to imputation. This can have serious implications for downstream statistical analyses and lead to misleading or uninterpretable inferences. In this study, we aim to identify the primary types of missingness that affect untargeted metabolomics data and compare strategies for imputation using two real-world comprehensive two-dimensional gas chromatography (GC × GC) data sets. We also present these goals in the context of experimental replication whereby imputation is conducted in a within-replicate-based fashion─the first description and evaluation of this strategy─and introduce an R package
    MeSH term(s) Bayes Theorem ; Chromatography, Gas ; Metabolomics/methods ; Principal Component Analysis ; Reproducibility of Results
    Language English
    Publishing date 2022-07-26
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.1c04093
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: A Metabolomic Approach for Predicting Diurnal Changes in Cortisol.

    Eshima, Jarrett / Davis, Trenton J / Bean, Heather D / Fricks, John / Smith, Barbara S

    Metabolites

    2020  Volume 10, Issue 5

    Abstract: ... ...

    Abstract Introduction
    Language English
    Publishing date 2020-05-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662251-8
    ISSN 2218-1989
    ISSN 2218-1989
    DOI 10.3390/metabo10050194
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  8. Article: Inhibition of Fungal Growth and Induction of a Novel Volatilome in Response to

    Ebadzadsahrai, Ghazal / Higgins Keppler, Emily A / Soby, Scott D / Bean, Heather D

    Frontiers in microbiology

    2020  Volume 11, Page(s) 1035

    Abstract: The study of chemical bioactivity in the rhizosphere has recently broadened to include microbial metabolites, and their roles in niche construction and competition via growth promotion, growth inhibition, and toxicity. Several prior studies have ... ...

    Abstract The study of chemical bioactivity in the rhizosphere has recently broadened to include microbial metabolites, and their roles in niche construction and competition via growth promotion, growth inhibition, and toxicity. Several prior studies have identified bacteria that produce volatile organic compounds (VOCs) with antifungal activities, indicating their potential use as biocontrol organisms to suppress phytopathogenic fungi and reduce agricultural losses. We sought to expand the roster of soil bacteria with known antifungal VOCs by testing bacterial isolates from wild and cultivated cranberry bog soils for VOCs that inhibit the growth of four common fungal and oomycete plant pathogens, and
    Language English
    Publishing date 2020-05-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2020.01035
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Addressing Missing Data in GC × GC Metabolomics: Identifying Missingness Type and Evaluating the Impact of Imputation Methods on Experimental Replication

    Davis, Trenton J. / Firzli, Tarek R. / Higgins Keppler, Emily A. / Richardson, Matthew / Bean, Heather D.

    Analytical Chemistry. 2022 July 26, v. 94, no. 31 p.10912-10920

    2022  

    Abstract: Missing data is a significant issue in metabolomics that is often neglected when conducting data preprocessing, particularly when it comes to imputation. This can have serious implications for downstream statistical analyses and lead to misleading or ... ...

    Abstract Missing data is a significant issue in metabolomics that is often neglected when conducting data preprocessing, particularly when it comes to imputation. This can have serious implications for downstream statistical analyses and lead to misleading or uninterpretable inferences. In this study, we aim to identify the primary types of missingness that affect untargeted metabolomics data and compare strategies for imputation using two real-world comprehensive two-dimensional gas chromatography (GC × GC) data sets. We also present these goals in the context of experimental replication whereby imputation is conducted in a within-replicate-based fashion—the first description and evaluation of this strategy—and introduce an R package MetabImpute to carry out these analyses. Our results conclude that, in these two GC × GC data sets, missingness was most likely of the missing at-random (MAR) and missing not-at-random (MNAR) types as opposed to missing completely at-random (MCAR). Gibbs sampler imputation and Random Forest gave the best results when imputing MAR and MNAR compared against single-value imputation (zero, minimum, mean, median, and half-minimum) and other more sophisticated approaches (Bayesian principal component analysis and quantile regression imputation for left-censored data). When samples are replicated, within-replicate imputation approaches led to an increase in the reproducibility of peak quantification compared to imputation that ignores replication, suggesting that imputing with respect to replication may preserve potentially important features in downstream analyses for biomarker discovery.
    Keywords Bayesian theory ; analytical chemistry ; biomarkers ; comprehensive two-dimensional gas chromatography ; metabolomics ; principal component analysis ; regression analysis
    Language English
    Dates of publication 2022-0726
    Size p. 10912-10920.
    Publishing place American Chemical Society
    Document type Article ; Online
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.1c04093
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: Pseudomonas aeruginosa Volatilome Characteristics and Adaptations in Chronic Cystic Fibrosis Lung Infections.

    Davis, Trenton J / Karanjia, Ava V / Bhebhe, Charity N / West, Sarah B / Richardson, Matthew / Bean, Heather D

    mSphere

    2020  Volume 5, Issue 5

    Abstract: Pseudomonas ... ...

    Abstract Pseudomonas aeruginosa
    MeSH term(s) Adaptation, Physiological ; Biomarkers/analysis ; Chromatography, Gas ; Chronic Disease ; Cystic Fibrosis/microbiology ; Humans ; Lung/microbiology ; Mass Spectrometry ; Metabolome ; Phenotype ; Pseudomonas Infections/microbiology ; Pseudomonas aeruginosa/metabolism ; Quality of Life ; Respiratory Tract Infections/microbiology ; Volatile Organic Compounds/analysis ; Volatilization
    Chemical Substances Biomarkers ; Volatile Organic Compounds
    Language English
    Publishing date 2020-10-07
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ISSN 2379-5042
    ISSN (online) 2379-5042
    DOI 10.1128/mSphere.00843-20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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