Summary of Study ST002701
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 PR001672. The data can be accessed directly via it's Project DOI: 10.21228/M8KH8C 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 | ST002701 |
Study Title | Mouse serum metabolomics |
Study Summary | The brain and gut are intricately connected in response to various stressful stimuli. Here we describe a brain-to-gut pathway in mice that instructs intestinal stem cells (ISCs) lineage commitment via bacterial metabolic signals. Psychological stress signals from the brain trigger a sympathetic pathway to enrich gut commensal Lactobacillus, which contributes to a transferrable loss of intestinal secretory cell subtypes. Indole-3-acetate (IAA) production by Lactobacillus murinus disrupts mitochondrial bioenergetics of ISCs and blocks secretory lineage commitment. In patients with mental stress, we observe similar enrichment of IAA and Lactobacillus species associated with gut dysfunction. These findings uncover a stress-responsive brain-gut signalling mechanism that skews ISCs fate decision and could be targeted for stress-driven gut-brain comorbidities. |
Institute | China Pharmaceutical University |
Last Name | yuanlong |
First Name | hou |
Address | nanjing |
jian2103@163.com | |
Phone | 18851105337 |
Submit Date | 2023-05-12 |
Raw Data Available | Yes |
Raw Data File Type(s) | mzML |
Analysis Type Detail | LC-MS |
Release Date | 2023-05-26 |
Release Version | 1 |
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Combined analysis:
Analysis ID | AN004378 |
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Analysis type | MS |
Chromatography type | Reversed phase |
Chromatography system | Agilent 6546 Q-TOF |
Column | Waters Atlantis 3μm particle size T3 column (2.1 × 10 cm) |
MS Type | ESI |
MS instrument type | QTOF |
MS instrument name | Agilent 6545 QTOF |
Ion Mode | NEGATIVE |
Units | Abundance |
MS:
MS ID: | MS004127 |
Analysis ID: | AN004378 |
Instrument Name: | Agilent 6545 QTOF |
Instrument Type: | QTOF |
MS Type: | ESI |
MS Comments: | Fast data-dependent acquisition (DDA) MS/MS experiments were performed. The Progenesis QI (Nonlinear Dynamics, Newcastle, UK) was used for peak picking and alignment to screen the metabolic biomarkers that displayed significant changes between the control and the fructose-treated group. Molecular identification of the assigned biomarkers was accomplished by matching the acquired precursors and fragment ions against several standard metabolome databases including the Human Metabolome Database (http://www.hmdb.ca/), MassBank (http://www.massbank.jp/index.html), and METLIN (http://metlin.scripps.edu/index.php). Partial metabolite identification was further confirmed by comparison with available standards. Metabolic pathway enrichment analysis of these identified metabolic biomarkers was carried out by MetaboAnalyst 3.0 |
Ion Mode: | NEGATIVE |