Summary of Study ST003483

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 PR002139. The data can be accessed directly via it's Project DOI: 10.21228/M84F91 This work is supported by NIH grant, U2C- DK119886.

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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.

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Study IDST003483
Study TitleTissue niche influences immune and metabolic profiles to Staphylococcus aureus biofilm infection (Extracellular data)
Study SummaryInfection is a devastating post-surgical complication, often requiring additional procedures and prolonged antibiotic therapy. This is especially relevant for craniotomy and prosthetic joint infections (PJI), both of which are characterized by biofilm formation on the bone or implant surface, respectively, with S. aureus representing a primary cause. The local tissue microenvironment likely has profound effects on immune attributes that can influence treatment efficacy, which becomes critical to consider when developing therapeutics for biofilm infections. However, the extent to which distinct tissue niches influence immune function during biofilm development remains relatively unknown. To address this, we compare the metabolomic, transcriptomic, and functional attributes of leukocytes in mouse models of S. aureus craniotomy and PJI complemented with patient samples from both infection modalities, which reveals profound tissue niche-dependent differences in nucleic acid, amino acid, and lipid metabolism with links to immune modulation. These signatures are both spatially and temporally distinct, differing not only between infection sites but evolving over time within a single model. Collectively, this demonstrates that biofilms elicit unique immune and metabolic responses that are heavily influenced by the local tissue microenvironment, which will likely have important implications when designing therapeutic approaches targeting these infections. This submission contains the extracellular metabolomic data for the larger project.
Institute
University of Nebraska Medical Center
DepartmentDepartment of pathology, microbiology and immunology
Last NameShinde
First NameDhananjay
AddressDRC 2, 7066, UNMC, Emily st
Emaildhananjay.shinde@unmc.edu
Phone4025597623
Submit Date2024-09-14
Raw Data AvailableYes
Raw Data File Type(s)mzXML
Analysis Type DetailLC-MS
Release Date2024-09-24
Release Version1
Dhananjay Shinde Dhananjay Shinde
https://dx.doi.org/10.21228/M84F91
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Sample Preparation:

Sampleprep ID:SP003618
Sampleprep Summary:A 13C15N-labeled canonical amino acid (13C15N-CAA) mix (Cambridge Isotope Laboratories, Andover, MA) was added to the extraction buffer comprised of 80% MeOH as an internal standard. Samples were then pelleted, and supernatants were dried by vacuum centrifuge for storage at -80°C. Cell pellets were stored for protein quantification to normalize metabolite peak areas. Prior to LC-HRMS, samples were reconstituted in 100 µL of 50% MeOH, pelleted, and the resulting supernatant was analyzed.
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