Summary of Study ST003470
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 PR002130. The data can be accessed directly via it's Project DOI: 10.21228/M89525 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 | ST003470 |
Study Title | Gut Microbiota Regulates Stress Responsivity via the Circadian System - Mice Amygdala |
Study Summary | Stress and circadian systems are interconnected through the hypothalamic-pituitary-adrenal (HPA) axis to maintain appropriate responses to external stimuli. Yet, the mechanisms of how such signals are orchestrated remains unknown. We now uncover the gut microbiota as a regulator of HPA-axis rhythmic function. Additionally, microbiota depletion markedly disturbs the brain transcriptome and metabolome in key stress response pathways in the hippocampus and amygdala across the day. This is coupled with a dysregulation of the master circadian pacemaker in the brain that resulted in perturbed glucocorticoid rhythmicity. The resulting hyper-activation of the HPA-axis at the sleep/wake transition drives time-of-day-specific impairments of the stress response and altered stress-sensitive behaviors. Finally, using microbiota transplantation we confirm that diurnal oscillations of gut microbes underlie altered glucocorticoid secretion and identify L. reuteri as a candidate strain for such effects. Together, our data offers compelling evidence that the microbiota regulates stress responsiveness in a circadian manner and is necessary to respond adaptively to psychological stressors throughout the day. |
Institute | University College Cork |
Department | Anatomy & Neuroscience |
Laboratory | Microbiome Gut Brain Axis |
Last Name | John |
First Name | Cryan |
Address | 4th Floor, Block E, Food Science Building, University College Cork, College Road, Cork, Ireland. |
j.cryan@ucc.ie | |
Phone | +353 (0)21 4903500 |
Submit Date | 2024-09-03 |
Analysis Type Detail | LC-MS |
Release Date | 2024-09-27 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR002130 |
Project DOI: | doi: 10.21228/M89525 |
Project Title: | Gut Microbiota Regulates Stress Responsivity via the Circadian System |
Project Summary: | Metabolomics of adult mice Amygdala and Hippocampus. Samples collected from conventional, antibiotic-treated and germ-free mice across 4 timepoints of the day. The goal of the project is to investigate the role of the gut microbiota on the circadian patterns of metabolites in the brain. Results indicated that metabolites involved in glutamate metabolism are altered across the day depending on microbial status. |
Institute: | University College Cork |
Department: | Anatomy & Neuroscience |
Laboratory: | Microbiome Gut Brain Axis |
Last Name: | John |
First Name: | Cryan |
Address: | College Road, Cork, County Cork, T12 XF62, Ireland |
Email: | gabriel.tofani@ucc.ie |
Phone: | +353 (0)21 4903500 |
Funding Source: | Saks Kavanaugh |
Subject:
Subject ID: | SU003598 |
Subject Type: | Mammal |
Subject Species: | Mus musculus |
Taxonomy ID: | 10090 |
Age Or Age Range: | 8-14 weeks |
Gender: | Male |
Animal Animal Supplier: | Taconic Biosciences |
Animal Light Cycle: | 12h Light/Dark |
Factors:
Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)
mb_sample_id | local_sample_id | Sample source | Treatment | Zeitgeber_time |
---|---|---|---|---|
SA383085 | ABX_90 | Amygadala | ABX | ZT11 |
SA383086 | ABX_62 | Amygadala | ABX | ZT11 |
SA383087 | ABX_64 | Amygadala | ABX | ZT11 |
SA383088 | ABX_65 | Amygadala | ABX | ZT11 |
SA383089 | ABX_87 | Amygadala | ABX | ZT11 |
SA383090 | ABX_88 | Amygadala | ABX | ZT11 |
SA383091 | ABX_89 | Amygadala | ABX | ZT11 |
SA383092 | ABX_63 | Amygadala | ABX | ZT11 |
SA383093 | ABX_119 | Amygadala | ABX | ZT17 |
SA383094 | ABX_108 | Amygadala | ABX | ZT17 |
SA383095 | ABX_107 | Amygadala | ABX | ZT17 |
SA383096 | ABX_106 | Amygadala | ABX | ZT17 |
SA383097 | ABX_105 | Amygadala | ABX | ZT17 |
SA383098 | ABX_121 | Amygadala | ABX | ZT17 |
SA383099 | ABX_109 | Amygadala | ABX | ZT23 |
SA383100 | ABX_114 | Amygadala | ABX | ZT23 |
SA383101 | ABX_116 | Amygadala | ABX | ZT23 |
SA383102 | ABX_115 | Amygadala | ABX | ZT23 |
SA383103 | ABX_112 | Amygadala | ABX | ZT23 |
SA383104 | ABX_113 | Amygadala | ABX | ZT23 |
SA383105 | ABX_111 | Amygadala | ABX | ZT23 |
SA383106 | ABX_110 | Amygadala | ABX | ZT23 |
SA383107 | ABX_72 | Amygadala | ABX | ZT5 |
SA383108 | ABX_73 | Amygadala | ABX | ZT5 |
SA383109 | ABX_74 | Amygadala | ABX | ZT5 |
SA383110 | ABX_75 | Amygadala | ABX | ZT5 |
SA383111 | ABX_76 | Amygadala | ABX | ZT5 |
SA383112 | ABX_77 | Amygadala | ABX | ZT5 |
SA383113 | ABX_84 | Amygadala | ABX | ZT5 |
SA383114 | ABX_86 | Amygadala | ABX | ZT5 |
SA383115 | CV_20 | Amygadala | CV | ZT11 |
SA383116 | CV_19 | Amygadala | CV | ZT11 |
SA383117 | CV_18 | Amygadala | CV | ZT11 |
SA383118 | CV_17 | Amygadala | CV | ZT11 |
SA383119 | CV_16 | Amygadala | CV | ZT11 |
SA383120 | CV_101 | Amygadala | CV | ZT11 |
SA383121 | CV_102 | Amygadala | CV | ZT11 |
SA383122 | CV_68 | Amygadala | CV | ZT17 |
SA383123 | CV_67 | Amygadala | CV | ZT17 |
SA383124 | CV_70 | Amygadala | CV | ZT17 |
SA383125 | CV_71 | Amygadala | CV | ZT17 |
SA383126 | CV_122 | Amygadala | CV | ZT17 |
SA383127 | CV_123 | Amygadala | CV | ZT17 |
SA383128 | CV_69 | Amygadala | CV | ZT17 |
SA383129 | CV_66 | Amygadala | CV | ZT17 |
SA383130 | CV_83 | Amygadala | CV | ZT23 |
SA383131 | CV_79 | Amygadala | CV | ZT23 |
SA383132 | CV_118 | Amygadala | CV | ZT23 |
SA383133 | CV_117 | Amygadala | CV | ZT23 |
SA383134 | CV_82 | Amygadala | CV | ZT23 |
SA383135 | CV_81 | Amygadala | CV | ZT23 |
SA383136 | CV_80 | Amygadala | CV | ZT23 |
SA383137 | CV_78 | Amygadala | CV | ZT23 |
SA383138 | CV_13 | Amygadala | CV | ZT5 |
SA383139 | CV_6 | Amygadala | CV | ZT5 |
SA383140 | CV_7 | Amygadala | CV | ZT5 |
SA383141 | CV_9 | Amygadala | CV | ZT5 |
SA383142 | CV_10 | Amygadala | CV | ZT5 |
SA383143 | CV_11 | Amygadala | CV | ZT5 |
SA383144 | CV_12 | Amygadala | CV | ZT5 |
SA383145 | CV_8 | Amygadala | CV | ZT5 |
SA383146 | GF_43 | Amygadala | GF | ZT11 |
SA383147 | GF_47 | Amygadala | GF | ZT11 |
SA383148 | GF_45 | Amygadala | GF | ZT11 |
SA383149 | GF_36 | Amygadala | GF | ZT11 |
SA383150 | GF_42 | Amygadala | GF | ZT11 |
SA383151 | GF_41 | Amygadala | GF | ZT11 |
SA383152 | GF_32 | Amygadala | GF | ZT11 |
SA383153 | GF_48 | Amygadala | GF | ZT11 |
SA383154 | GF_94 | Amygadala | GF | ZT17 |
SA383155 | GF_92 | Amygadala | GF | ZT17 |
SA383156 | GF_93 | Amygadala | GF | ZT17 |
SA383157 | GF_91 | Amygadala | GF | ZT17 |
SA383158 | GF_95 | Amygadala | GF | ZT17 |
SA383159 | GF_96 | Amygadala | GF | ZT17 |
SA383160 | GF_97 | Amygadala | GF | ZT17 |
SA383161 | GF_98 | Amygadala | GF | ZT17 |
SA383162 | GF_55 | Amygadala | GF | ZT23 |
SA383163 | GF_57 | Amygadala | GF | ZT23 |
SA383164 | GF_54 | Amygadala | GF | ZT23 |
SA383165 | GF_56 | Amygadala | GF | ZT23 |
SA383166 | GF_59 | Amygadala | GF | ZT23 |
SA383167 | GF_60 | Amygadala | GF | ZT23 |
SA383168 | GF_61 | Amygadala | GF | ZT23 |
SA383169 | GF_53 | Amygadala | GF | ZT23 |
SA383170 | GF_24 | Amygadala | GF | ZT5 |
SA383171 | GF_52 | Amygadala | GF | ZT5 |
SA383172 | GF_51 | Amygadala | GF | ZT5 |
SA383173 | GF_25 | Amygadala | GF | ZT5 |
SA383174 | GF_28 | Amygadala | GF | ZT5 |
SA383175 | GF_26 | Amygadala | GF | ZT5 |
SA383176 | GF_49 | Amygadala | GF | ZT5 |
Showing results 1 to 92 of 92 |
Collection:
Collection ID: | CO003591 |
Collection Summary: | Mice were transferred to a cull room and immediately decapitated. Tissues were then harvested, stored in PCR-grade tubes and flash-frozen in dry ice. Samples were stored in -80°C until further analysis. |
Sample Type: | Brain |
Treatment:
Treatment ID: | TR003607 |
Treatment Summary: | Treatment = Conventional (Controls) - CV, Germ-Free - GF, Antibiotic Treated - ABX. Timepoints = ZT (Zeitgeber) 5, 11, 17 and 23. Group_ID = Treatment + Timepoint (eg. GF_ZT5, GF_ZT11) Details on antibiotic treatment: Mice received antibiotic treatment in ad libitum drinking water for a period of 14 days. The antibiotic cocktail consisted of ampicillin sodium salt (1g/L), gentamicin sulfate (1g/L), vancomycin hydrochloride (0.5g/L) and imipenem (0.25g/L) (Discovery Fine Chemicals). Water containing antibiotics was replaced every two days for the duration of the treatment and prepared freshly every time. Cages were randomly assigned to either vehicle or antibiotic treatment. |
Sample Preparation:
Sampleprep ID: | SP003605 |
Sampleprep Summary: | 1. Add pre-weighted sample and stainless steel beads in an extraction tube. 2. Add MeOH/Water (1:2) 3. Place the ET-1s into the pre-cooled Bead-beater and homogenize for 4 x 30 sec at 30 Hz. 4. Ultrasonicate the samples for 5 mins 5. Centrifuge the samples for 5 minutes at 18000 RCF and 4 °C and collect the supernatant in a Phree filter. 6. Repeat step 2-5 7. Centrifuge the Phree filters for 5 minutes at 1800 RCF and 4 °C. 8. Collect the filtrate and transfer it to a new extraction tube, 9. Dry the extracts under nitrogen gas. 10. Reconstitute 20 x the initial sample weight with Eluent Mix (10% Eluent B in Eluent A) and shake @ 1000 for 3.5 min therafter vortex for 10 sec. 11. Transfer 100 ul of the liquid to a filter plate and centrifuge them for 2 mins at 1800 RCF and 4 °C. 12. Collect the filtrate and dilute five times in eluent A. |
Combined analysis:
Analysis ID | AN005705 |
---|---|
Analysis type | MS |
Chromatography type | Reversed phase |
Chromatography system | Thermo Vanquish |
Column | Waters ACQUITY UPLC HSS T3 (150 x 2.1mm,1.8um) |
MS Type | ESI |
MS instrument type | Orbitrap |
MS instrument name | Thermo Q Exactive HF hybrid Orbitrap |
Ion Mode | NEGATIVE |
Units | Peak area |
Chromatography:
Chromatography ID: | CH004327 |
Chromatography Summary: | Thermo Scientific Vanquish LC coupled to a Q Exactive™ HF Hybrid Quadrupole-Orbitrap |
Instrument Name: | Thermo Vanquish |
Column Name: | Waters ACQUITY UPLC HSS T3 (150 x 2.1mm,1.8um) |
Column Temperature: | 30°C |
Flow Gradient: | 0.0 min 0% B, 2.0 min 0% B, 4.0 min 35% B, 6.0 min 90% B, 14.0 min 90% B, 14.1 min 0% B, 15.0 min 0% B |
Flow Rate: | 300 µl/min |
Solvent A: | 100% water; 10 mM ammonium formate; 0.1% formic acid |
Solvent B: | 100% methanol; 10 mM ammonium formate; 0.1% formic acid |
Chromatography Type: | Reversed phase |
MS:
MS ID: | MS005429 |
Analysis ID: | AN005705 |
Instrument Name: | Thermo Q Exactive HF hybrid Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Metabolomics processing was performed untargeted using Compound Discoverer 3.3 (Thermo Scientific) and Skyline 22.2 (MacCoss Lab Software) for peak picking and feature grouping, followed by a in-house annotation and curation pipeline written in MatLab (2022b, MathWorks). Identification of compounds were performed at four levels; Level 1: identification by retention times (compared against in-house authentic standards), accurate mass (with an accepted deviation of 3ppm), and MS/MS spectra, Level 2a: identification by retention times (compared against in-house authentic standards), accurate mass (with an accepted deviation of 3ppm). Level 2b: identification by accurate mass (with an accepted deviation of 3ppm), and MS/MS spectra, Level 3: identification by accurate mass alone (with an accepted deviation of 3ppm). |
Ion Mode: | NEGATIVE |