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.
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 | ST003483 |
| Study Title | Tissue niche influences immune and metabolic profiles to Staphylococcus aureus biofilm infection (Extracellular data) |
| Study Summary | Infection 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 |
| Department | Department of pathology, microbiology and immunology |
| Last Name | Shinde |
| First Name | Dhananjay |
| Address | DRC 2, 7066, UNMC, Emily st |
| dhananjay.shinde@unmc.edu | |
| Phone | 4025597623 |
| Submit Date | 2024-09-14 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzXML |
| Analysis Type Detail | LC-MS |
| Release Date | 2024-09-24 |
| Release Version | 1 |
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Collection:
| Collection ID: | CO003604 |
| Collection Summary: | The intracellular metabolome of granulocytes isolated from the galea and PJI tissue of mouse craniotomy and PJI models, respectively, were profiled by LC-HRMS. Fifteen mice were infected for each biofilm model (craniotomy and PJI) with single-cell suspensions prepared by pooling tissue homogenates from 3 mice into one sample, resulting in 5 biological replicates. Samples were then enriched for granulocytes using Ly6G magnetic beads (Miltenyi Biotec, Bergishch Gladbach, Germany). Magnetic beads were utilized for purification instead of FACS to limit alterations in cellular metabolism that may occur with extended processing times. Samples were washed twice in 1X PBS, resuspended in 80% MeOH, and frozen at -80°C for 15 min. Metabolomics was also performed on supernatants prepared from brain, galea, and PJI tissue homogenates at days 3, 7, and 14 post-infection. Similar to granulocyte intracellular metabolite collection, tissue supernatants were centrifuged at high speed to remove residual cellular material, combined with 100% MeOH to yield an 80% MeOH solution, and frozen at -80°C. |
| Sample Type: | Extracellular infection sites homogenate |
