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.

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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 IDST002701
Study TitleMouse serum metabolomics
Study SummaryThe 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 Nameyuanlong
First Namehou
Addressnanjing
Emailjian2103@163.com
Phone18851105337
Submit Date2023-05-12
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailLC-MS
Release Date2023-05-26
Release Version1
hou yuanlong hou yuanlong
https://dx.doi.org/10.21228/M8KH8C
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR001672
Project DOI:doi: 10.21228/M8KH8C
Project Title:A stress-responsive brain-gut metabolic axis instructs intestinal cell lineage commitment
Project Type:serum
Project 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
Email:jian2103@163.com
Phone:18851105337

Subject:

Subject ID:SU002806
Subject Type:Mammal
Subject Species:Mus musculus
Taxonomy ID:10090
Gender:Female

Factors:

Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)

mb_sample_id local_sample_id Treatment
SA270907Con10Con
SA270908Con11Con
SA270909Con1Con
SA270910Con8Con
SA270911Con12Con
SA270912Con9Con
SA270913Con7Con
SA270914Con2Con
SA270915Con4Con
SA270916Con3Con
SA270917Con5Con
SA270918Con6Con
SA270919CRS10stress
SA270920CRS9stress
SA270921CRS12stress
SA270922CRS8stress
SA270923CRS11stress
SA270924CRS1stress
SA270925CRS3stress
SA270926CRS2stress
SA270927CRS4stress
SA270928CRS5stress
SA270929CRS6stress
SA270930CRS7stress
Showing results 1 to 24 of 24

Collection:

Collection ID:CO002799
Collection Summary:To precipitate proteins, we combined 100 μl of SERUM with 800 μl of methanol, incubated at -20 for 30 min, then centrifuged at 18000 rpm for 10 min. Subsequently, 850 μl of supernatant was transferred to a new tube and evaporated to dryness in a Thermo Savant SpeedVac. Then 200 μl of resuspension solvent methanol was added, compounds were dissolved by vortexing for 5 min and samples were clarified by centrifuged at 18000 rpm for 10 min.
Sample Type:Blood (serum)

Treatment:

Treatment ID:TR002815
Treatment Summary:Chronic restraint stress (RS) in mice were placed inside a plastic mouse holder for 4 h daily, from 10:00 am to 14:00 pm, and repeated for a total of 14 consecutive days. During non-stress periods, all mice were conventionally housed and allowed free access to food and water.

Sample Preparation:

Sampleprep ID:SP002812
Sampleprep Summary:To precipitate proteins, we combined 200 μl SERUM with 800 μl of methanol, incubated at -20 for 30 min, then centrifuged at 18000 rpm for 10 min. Subsequently, 850 μl of supernatant was transferred to a new tube and evaporated to dryness in a Thermo Savant SpeedVac. Then 200 μl of resuspension solvent methanol was added, compounds were dissolved by vortexing for 5 min and samples were clarified by centrifuged at 18000 rpm for 10 min.
Processing Storage Conditions:-80℃
Extract Storage:-20℃

Combined analysis:

Analysis ID AN004378
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

Chromatography:

Chromatography ID:CH003283
Instrument Name:Agilent 6546 Q-TOF
Column Name:Waters Atlantis 3μm particle size T3 column (2.1 × 10 cm)
Column Temperature:40
Flow Gradient:A linear gradient of 0–95% eluent B over 10min. Eluent B was held at 100% for 2.5 min, then brought to 5% over 0.5 min and the column was re-equilibrated at 0% eluent B for 4 min
Flow Rate:0.25ml/min
Solvent A:100% water; 0.05% formic acid; 0.1% ammonium formate
Solvent B:100% acetonitrile
Chromatography Type:Reversed phase

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
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