Summary of Study ST002345
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 PR001505. The data can be accessed directly via it's Project DOI: 10.21228/M85717 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 | ST002345 |
| Study Title | Stress-Induced Mucosal Layer Disruption Drives Gut Dysbiosis and Depressive-like Behaviors |
| Study Summary | Depression is a common mental health condition with a large social and economic impact. While depression etiology is multifactorial, chronic stress is a well-accepted contributor to disease onset. In addition, depression is associated with altered gut microbial signatures that can be replicated in animal models. While targeted restoration of the microbiome has been shown to reduce depressive-like behaviors in mice, the complexity and diversity of the human microbiome has complicated therapeutic intervention in patients. To circumvent these limitations, there is a critical need for identifying pathways responsible for microbiome dysbiosis. Here, for the first time, we identify the changes in host physiology that induce microbiome dysbiosis. Specifically, we show that a component of mucosal layer, the transmembrane protein mucin 13, can regulate microbiome composition. Using a model of chronic stress to induce behavioral and microbial changes in mice, we show a significant reduction in mucin 13 expression across the intestines that occurs independently of the microbiome. Furthermore, deleting Muc13 leads to gut dysbiosis, and baseline behavioral changes normally observed after stress exposure. Together, these results validate the hypothesis that mucosal layer disruption is an initiating event in stress-induced dysbiosis and offer mucin 13 as a potential new therapeutic target for microbiome dysbiosis in stress-induced depression. For the first time, our data provide an upstream and conserved target for treating microbiome dysbiosis, a result with sweeping implications for diseases presenting with microbial alterations. |
| Institute | University of Virginia |
| Last Name | Rivet-Noor |
| First Name | Courtney |
| Address | 409 Lane Road, Charlottsville, Virginia, 22903, USA |
| crr4tz@virginia.edu | |
| Phone | 434-243-1903 |
| Submit Date | 2022-11-10 |
| Num Groups | 2 |
| Total Subjects | 23 |
| Num Males | 23 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2022-11-28 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003829 |
|---|---|
| Analysis type | MS |
| Chromatography type | Reversed phase |
| Chromatography system | Thermo Vanquish |
| Column | Waters Acquity BEH C18 (100 x 2mm,1.7um) |
| MS Type | ESI |
| MS instrument type | Orbitrap |
| MS instrument name | Thermo Orbitrap ID-X Tribrid |
| Ion Mode | UNSPECIFIED |
| Units | ug/mL |
MS:
| MS ID: | MS003571 |
| Analysis ID: | AN003829 |
| Instrument Name: | Thermo Orbitrap ID-X Tribrid |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | Raw data files were brought into Skyline software. Targeted peak detection was done based on the parent mass. Mass analyzer set to Orbitrap and resolution power set to 120,000 resolution. Then all raw files and unknown samples were imported to Skyline. Calibration curves were generated by Linear regression fit. Targeted precursor MZ and MZ of analytes was used to track and quantification of the metabolite. Peak areas for analytes in samples were used for quantification based in the generated calibration curves. |
| Ion Mode: | UNSPECIFIED |
