Summary of Study ST003439
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 | ST003439 |
| Study Title | Metabolomics of human serum to support understanding of early metabolic shift in presymptomatic sepsis patients. (Part1 human metabolites) |
| 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 serum metabolome analysis of 152 presymptomatic patients undergoing major elective surgery revealed early metabolic signals in sepsis. |
| 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@leibniz-hki.de | |
| Phone | +4936415321265 |
| Submit Date | 2024-08-14 |
| 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: | SU003580 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Age Or Age Range: | 63 (21, 80) |
| Gender: | Male and female |
| Species Group: | Mammals |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample source | Group | Timepoint |
|---|---|---|---|---|
| SA380974 | 200802_217-Blank | blank | Blank | NA |
| SA380975 | 200724_001-Blank | blank | Blank | NA |
| SA380976 | 200724_002-Blank | blank | Blank | NA |
| SA380977 | 200724_006-Blank | blank | Blank | NA |
| SA380978 | 200724_215-Blank | blank | Blank | NA |
| SA380979 | 200730_217-Blank | blank | Blank | NA |
| SA380980 | 200730_218-Blank | blank | Blank | NA |
| SA380981 | 200730_222-Blank | blank | Blank | NA |
| SA380982 | 200730_426-Blank | blank | Blank | NA |
| SA380983 | 200730_431-Blank | blank | Blank | NA |
| SA380984 | 200730_217-Blank_20200730112558 | blank | Blank | NA |
| SA380985 | 200724_210-Blank | blank | Blank | NA |
| SA380986 | 200802_218-Blank | blank | Blank | NA |
| SA380987 | 200803_218-SystemBlank2 | blank | Blank | NA |
| SA380988 | 200807_433-Blank | blank | Blank | NA |
| SA380989 | 200807_434-Blank | blank | Blank | NA |
| SA380990 | 200807_438-Blank | blank | Blank | NA |
| SA380991 | 200807_585-Blank | blank | Blank | NA |
| SA380992 | 200807_590-Blank | blank | Blank | NA |
| SA380993 | 200803_217-SystemBlank2 | blank | Blank | NA |
| SA380994 | CS12957 | blood | Control | -1 |
| SA380995 | CS13116 | blood | Control | -1 |
| SA380996 | CS12989 | blood | Control | -1 |
| SA380997 | CS13007 | blood | Control | -1 |
| SA380998 | CS13320 | blood | Control | -1 |
| SA380999 | CS13019 | blood | Control | -1 |
| SA381000 | CS12948 | blood | Control | -1 |
| SA381001 | CS13221 | blood | Control | -1 |
| SA381002 | CS13257 | blood | Control | -1 |
| SA381003 | CS13004 | blood | Control | -1 |
| SA381004 | CS13089 | blood | Control | -1 |
| SA381005 | CS13110 | blood | Control | -1 |
| SA381006 | CS13010 | blood | Control | -1 |
| SA381007 | CS12981 | blood | Control | -1 |
| SA381008 | CS13182 | blood | Control | -1 |
| SA381009 | CS13239 | blood | Control | -1 |
| SA381010 | CS13149 | blood | Control | -1 |
| SA381011 | CS13254 | blood | Control | -1 |
| SA381012 | CS13098 | blood | Control | -1 |
| SA381013 | CS13335 | blood | Control | -1 |
| SA381014 | CS13101 | blood | Control | -1 |
| SA381015 | CS13338 | blood | Control | -1 |
| SA381016 | CS13016 | blood | Control | -1 |
| SA381017 | CS12951 | blood | Control | -1 |
| SA381018 | CS13218 | blood | Control | -1 |
| SA381019 | CS13107 | blood | Control | -1 |
| SA381020 | CS13194 | blood | Control | -1 |
| SA381021 | CS13095 | blood | Control | -1 |
| SA381022 | CS13092 | blood | Control | -1 |
| SA381023 | CS13164 | blood | Control | -1 |
| SA381024 | CS12954 | blood | Control | -1 |
| SA381025 | CS13013 | blood | Control | -1 |
| SA381026 | CS13179 | blood | Control | -1 |
| SA381027 | CS13113 | blood | Control | -1 |
| SA381028 | CS13001 | blood | Control | -1 |
| SA381029 | CS13317 | blood | Control | -1 |
| SA381030 | CS13104 | blood | Control | -1 |
| SA381031 | CS13215 | blood | Control | -1 |
| SA381032 | CS13181 | blood | Control | -2 |
| SA381033 | CS13178 | blood | Control | -2 |
| SA381034 | CS13018 | blood | Control | -2 |
| SA381035 | CS13106 | blood | Control | -3 |
| SA381036 | CS13100 | blood | Control | -3 |
| SA381037 | CS13253 | blood | Control | -3 |
| SA381038 | CS13214 | blood | Control | -3 |
| SA381039 | CS13006 | blood | Control | -3 |
| SA381040 | CS12953 | blood | Control | -3 |
| SA381041 | CS13091 | blood | Control | -3 |
| SA381042 | CS13378 | blood | Control | -3 |
| SA381043 | CS12980 | blood | Control | -3 |
| SA381044 | CS13115 | blood | Control | -3 |
| SA381045 | CS13337 | blood | Control | -3 |
| SA381046 | CS13015 | blood | Control | -3 |
| SA381047 | CS12947 | blood | Control | -3 |
| SA381048 | CS13148 | blood | Control | -3 |
| SA381049 | CS13109 | blood | Control | -3 |
| SA381050 | CS13097 | blood | Control | -3 |
| SA381051 | CS13220 | blood | Control | -3 |
| SA381052 | CS13000 | blood | Control | -3 |
| SA381053 | CS13316 | blood | Control | -3 |
| SA381054 | CS13217 | blood | Control | -3 |
| SA381055 | CS13256 | blood | Control | -3 |
| SA381056 | CS13163 | blood | Control | -3 |
| SA381057 | CS13319 | blood | Control | -3 |
| SA381058 | CS12956 | blood | Control | -3 |
| SA381059 | CS13012 | blood | Control | -3 |
| SA381060 | CS13112 | blood | Control | -3 |
| SA381061 | CS13003 | blood | Control | -3 |
| SA381062 | CS13094 | blood | Control | -3 |
| SA381063 | CS13009 | blood | Control | -3 |
| SA381064 | CS13193 | blood | Control | -3 |
| SA381065 | CS13103 | blood | Control | -3 |
| SA381066 | CS13088 | blood | Control | -3 |
| SA381067 | CS13334 | blood | Control | -3 |
| SA381068 | CS13238 | blood | Control | -3 |
| SA381069 | CS12950 | blood | Control | -3 |
| SA381070 | CS13162 | blood | Control | Pre |
| SA381071 | CS13093 | blood | Control | Pre |
| SA381072 | CS13090 | blood | Control | Pre |
| SA381073 | CS13105 | blood | Control | Pre |
Collection:
| Collection ID: | CO003573 |
| Collection Summary: | Human serum samples were collected from presymptomatic sepsis patients scheduled for elective surgery before operation and up to one day before diagnosis, matched with uncomplicated infection and healthy controls and frozen at -80 °C. Samples were shipped to MS-OMICS for metabolomic analysis. |
| Sample Type: | Blood (serum) |
Treatment:
| Treatment ID: | TR003589 |
| Treatment Summary: | we retrieved samples from patients scheduled for elective surgery, corresponding to time point Pre (pre-operation), -3, -2 and -1 days before the clinical diagnosis. A total of 455 serum samples were retrieved from 152 patients, including 114 samples from 38 non-infected patients making an uncomplicated postoperative recovery (referred to as Control), 117 samples from 39 patients developing a systemic inflammatory response (SIRS), 107 samples from 36 patients diagnosed with uncomplicated infection (UnInf), and 117 samples from 39 patients diagnosed with sepsis. |
Sample Preparation:
| Sampleprep ID: | SP003587 |
| Sampleprep Summary: | For semi-polar metabolite analysis, serum samples (50 μl) were diluted with a mixture of acetonitrile, methanol, formic acid and stable isotope labelled internal standards (200 μl 1.00:0.99:0.01 v/ v/ v). The extracts were then passed through a phosphor lipid removal cartridge (Phree, Phenomenex) using centrifugation (1 400 rpm, 4°C, 10 min). 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 reverse phase mobile phase mixture (100 μl, 10% B in 90% A). |
Combined analysis:
| Analysis ID | AN005670 | AN005671 |
|---|---|---|
| Chromatography ID | CH004306 | CH004306 |
| MS ID | MS005394 | MS005395 |
| 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 Q Exactive HF hybrid Orbitrap | Thermo Q Exactive HF hybrid Orbitrap |
| Ion Mode | POSITIVE | NEGATIVE |
| Units | Normalized peak area | Normalized peak area |
Chromatography:
| Chromatography ID: | CH004306 |
| Chromatography Summary: | Sample analysis was carried out by MS-Omics. The UHPLC was performed using a adapted version of the protocol described by Doneanu et al(UPLC/MS Monitoring of Water-Soluble Vitamin Bs in Cell Culture Media in Minutes, Water Application note 2011, 720004042en). The analysis was carried out using a Thermo Scientific Vanquish LC coupled to a Q Exactive™ HF Hybrid Quadrupole-Orbitrap, Thermo Fisher Scientific. |
| 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: | MS005394 |
| Analysis ID: | AN005670 |
| Instrument Name: | Thermo Q Exactive HF hybrid Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | Metabolomics processing was performed untargeted using Compound Discoverer 3.0 (Thermo Scientific) for peak picking and feature grouping, followed by a in-house annotation and curation pipeline written in MatLab (2021b, 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: | MS005395 |
| Analysis ID: | AN005671 |
| Instrument Name: | Thermo Q Exactive HF hybrid Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | Metabolomics processing was performed untargeted using Compound Discoverer 3.0 (Thermo Scientific) for peak picking and feature grouping, followed by a in-house annotation and curation pipeline written in MatLab (2021b, 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 |