Summary of Study ST003461
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 PR002122. The data can be accessed directly via it's Project DOI: 10.21228/M8B52G This work is supported by NIH grant, U2C- DK119886. See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST003461 |
| Study Title | Metabolomics of mice spleen to support understanding of early metabolic shift in presymptomatic sepsis patients. (Part7 mice spleen metabolite) |
| Study Summary | Sepsis, a life-threatening organ dysfunction caused by a dysregulated response to infection, is a critical medical condition with significant global impact, responsible for 48.9 million cases and 11 million deaths annually. Metabolic dysregulation in sepsis is a critical determinant of disease outcome, yet most studies focus on patients after severe illness onset, comparing septic versus non-septic groups or survivors versus non-survivors. To truly understand this complex disease, it is essential to investigate early metabolic shifts, capturing the transition from simple infection to sepsis. Our untargeted metabolome analysis of spleen tissues from mice model revealed early septic biomarkers in spleen. |
| Institute | Leibniz Institute for Natural Product Research and Infection Biology Hans Knöll Institute |
| Department | Microbiome Dynamics |
| Last Name | XU |
| First Name | LINLIN |
| Address | Beutenbergstraße 11a, Jena, Thuringia, 07745, Germany |
| Lin-Lin.Xu@hki-jena.de | |
| Phone | +4936415321265 |
| Submit Date | 2024-09-04 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-05-26 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002122 |
| Project DOI: | doi: 10.21228/M8B52G |
| Project Title: | Early Metabolic Shifts in the Sepsis: Insights from Presymptomatic Patients and In Vivo Models. |
| Project Type: | MS quantitative analysis |
| Project Summary: | Metabolomics of human serum to support understanding of early metabolic shift in presymptomatic sepsis patients and further confirmed in in vivo model. |
| Institute: | Leibniz Institute for Natural Product Research and Infection Biology Hans Knöll Institute |
| Department: | Microbiome Dynamics |
| Last Name: | XU |
| First Name: | LINLIN |
| Address: | Beutenbergstraße 11a, Jena, Thuringia, 07745, Germany |
| Email: | Lin-Lin.Xu@leibniz-hki.de |
| Phone: | +4936415321265 |
Subject:
| Subject ID: | SU003589 |
| Subject Type: | Mammal |
| Subject Species: | Mus musculus |
| Taxonomy ID: | 10090 |
| Species Group: | Mammals |
Factors:
Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample source | Group |
|---|---|---|---|
| SA382794 | Blank_PB | blank | Blank |
| SA382795 | Blank_001 | blank | Blank |
| SA382796 | Blank_002 | blank | Blank |
| SA382797 | Blank_003 | blank | Blank |
| SA382798 | Blank_004 | blank | Blank |
| SA382765 | SA020978 | Spleen | CLP (24h) / 12C-Serin |
| SA382766 | SA021020 | Spleen | CLP (24h) / 12C-Serin |
| SA382767 | SA021027 | Spleen | CLP (24h) / 12C-Serin |
| SA382768 | SA020985 | Spleen | CLP (24h) / 12C-Serin |
| SA382769 | SA020936 | Spleen | CLP (24h) / 13C-Serin |
| SA382770 | SA020890 | Spleen | CLP (24h) / 13C-Serin |
| SA382771 | SA020883 | Spleen | CLP (24h) / 13C-Serin |
| SA382772 | SA020943 | Spleen | CLP (24h) / 13C-Serin |
| SA382773 | SA020897 | Spleen | CLP (24h) / Vehicle |
| SA382774 | SA020971 | Spleen | CLP (24h) / Vehicle |
| SA382775 | SA020925 | Spleen | CLP (24h) / Vehicle |
| SA382776 | QC_001 | Spleen | QC |
| SA382777 | QC_009 | Spleen | QC |
| SA382778 | QC_004 | Spleen | QC |
| SA382779 | QC_008 | Spleen | QC |
| SA382780 | QC_006 | Spleen | QC |
| SA382781 | QC_007 | Spleen | QC |
| SA382782 | QC_005 | Spleen | QC |
| SA382783 | SA021006 | Spleen | Sham / 12C-Serin |
| SA382784 | SA021013 | Spleen | Sham / 12C-Serin |
| SA382785 | SA020999 | Spleen | Sham / 12C-Serin |
| SA382786 | SA020992 | Spleen | Sham / 12C-Serin |
| SA382787 | SA020964 | Spleen | Sham / 13C-Serin |
| SA382788 | SA020911 | Spleen | Sham / 13C-Serin |
| SA382789 | SA020904 | Spleen | Sham / 13C-Serin |
| SA382790 | SA020957 | Spleen | Sham / 13C-Serin |
| SA382791 | SA020930 | Spleen | Sham / Vehicle |
| SA382792 | SA020918 | Spleen | Sham / Vehicle |
| SA382793 | SA020950 | Spleen | Sham / Vehicle |
| Showing results 1 to 34 of 34 |
Collection:
| Collection ID: | CO003582 |
| Collection Summary: | Mice tissue samples were collected from our in vivo mice model and frozen at -80 °C. Samples were shipped to MS-OMICS for metabolomic analysis. |
| Sample Type: | Spleen |
Treatment:
| Treatment ID: | TR003598 |
| Treatment Summary: | Approximately 30% of the cecum was ligated and punctured twice with a 23 Gauge (G) needle. A small amount of faeces was extruded and the cecum was placed back into the abdominal cavity. All animals received 40 mL/kg saline s.c. directly after the procedure and once 25mg/kg s.c. Imipenem/Cilastatin after 6 hours. This model is associated with a 14-day mortality of 30%, closely mimicking the clinical situation. Animals were orally gavaged with 500mg/kg 12C-Serin (Sigma) or 13C-Serin (CLM-1574-H-0.25 Serine-L (13C3 99%13C), Euroisotope, Germany) in 10mL/kg drinking water or drinking water only (vehicle) 6 and 18 hours after CLP98,99. After 24 hours, the animals are then perfused with ice cold PBS and organs were harvested, snap frozen and stored at -80° until further analysis. Sham animals underwent exactly to the same procedures except for the CLP. |
Sample Preparation:
| Sampleprep ID: | SP003596 |
| Sampleprep Summary: | To prepare samples for semi-polar metabolites extraction, the different tissue samples were weighted and transferred to Eppendorf tubes. Ceramic beads and precooled methanol/water (1:2) were added. All tubes were placed in a pre-cooled (-20°C) bead beater and homogenized (4 x 30 sec., 30 Hz) followed by ultrasonication (5 min). After centrifugation (18000 RCF, 5 min, 4°C), the supernatant was collected. The sample pellet was reextracted as described above. The two extract supernatants were pooled and passed through a phosphor removal cartridge (Phree filter plates). A precise aliquot of the extract was evaporated to dryness under a gentle stream of nitrogen, before reconstitution with 10% Eluent B in Eluent A. All Samples were diluted 5 times in mobile phase eluent A and stable isotope labelled standards were added before analysis. Mouse serum (50 μl) was diluted with a mixture of acetonitrile and methanol (200 μl 1:1 v/v). The extract was then passed through a phosphor removal cartridge (Phree, Phenomenex). An aliquot (100 μl) was transferred into a high recovery HPLC vial and the solvent was removed under a gentle flow of nitrogen. Extracts were reconstituted in a mobile phase mixture (100 μl, 10%B in 90%A). To ensure high-quality sample preparation, a quality control sample (QC sample) was prepared by pooling small equal aliquots from each sample, to create a representative average of the entire set. |
Combined analysis:
| Analysis ID | AN005687 | AN005688 |
|---|---|---|
| Chromatography ID | CH004317 | CH004317 |
| MS ID | MS005411 | MS005412 |
| Analysis type | MS | MS |
| Chromatography type | Reversed phase | Reversed phase |
| Chromatography system | Thermo Vanquish | Thermo Vanquish |
| Column | Waters ACQUITY UPLC HSS T3 (150 x 2.1mm,1.8um) | Waters ACQUITY UPLC HSS T3 (150 x 2.1mm,1.8um) |
| MS Type | ESI | ESI |
| MS instrument type | Orbitrap | Orbitrap |
| MS instrument name | Thermo Orbitrap Exploris 240 | Thermo Orbitrap Exploris 240 |
| Ion Mode | POSITIVE | NEGATIVE |
| Units | Normalized peak area | Normalized peak area |
Chromatography:
| Chromatography ID: | CH004317 |
| Methods Filename: | Doneanu_etal.pdf |
| Instrument Name: | Thermo Vanquish |
| Column Name: | Waters ACQUITY UPLC HSS T3 (150 x 2.1mm,1.8um) |
| Column Temperature: | 30 |
| Flow Gradient: | 0-2 min: 0 % B, 4 min 35% B, 6-14 min 90% B, 14.1-15 min 0% B. |
| Flow Rate: | 0.3mL/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: | MS005411 |
| Analysis ID: | AN005687 |
| Instrument Name: | Thermo Orbitrap Exploris 240 |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | Semi-polar metabolite profiling was performed by MS-Omics (Vedbæk, Denmark). The analysis was carried out using a Vanquish LC (Thermo Scientific) coupled to a Orbitrap Exploris 240 MS (Thermo Scientific). The UHPLC was performed using an adapted version of the protocol described by Doneanu et al . An electrospray ionization interface was used as ionization source. Analysis was performed in positive and negative ionization mode under polarity switching. 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 an 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). The data have been normalized to the QC samples to remove systematic drift over the analysis sequence. The normalization is performed using linear regression for the QC’s within each analytical batch with signal = a*injection number – b. Each value is then normalized with: normSignal = average(all QC samples)*(signal – injection number*a)/b. This is done independently for each compound. |
| Ion Mode: | POSITIVE |
| Analysis Protocol File: | Doneanu_etal.pdf |
| MS ID: | MS005412 |
| Analysis ID: | AN005688 |
| Instrument Name: | Thermo Orbitrap Exploris 240 |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | Semi-polar metabolite profiling was performed by MS-Omics (Vedbæk, Denmark). The analysis was carried out using a Vanquish LC (Thermo Scientific) coupled to a Orbitrap Exploris 240 MS (Thermo Scientific). The UHPLC was performed using an adapted version of the protocol described by Doneanu et al . An electrospray ionization interface was used as ionization source. Analysis was performed in positive and negative ionization mode under polarity switching. 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 an 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). The data have been normalized to the QC samples to remove systematic drift over the analysis sequence. The normalization is performed using linear regression for the QC’s within each analytical batch with signal = a*injection number – b. Each value is then normalized with: normSignal = average(all QC samples)*(signal – injection number*a)/b. This is done independently for each compound. |
| Ion Mode: | NEGATIVE |
| Analysis Protocol File: | Doneanu_etal.pdf |