Summary of Study ST002984

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 PR001859. The data can be accessed directly via it's Project DOI: 10.21228/M8DT65 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 IDST002984
Study TitleAmino acid catabolite markers for early prognostication of pneumonia in patients with COVID-19
Study SummaryEffective early-stage markers for predicting which patients are at risk of developing SARS-CoV-2 infection have not been fully investigated. Here, we performed comprehensive serum metabolome analysis of a total of 83 patients from two cohorts to determine that the acceleration of amino acid catabolism within 5 days from disease onset correlated with future disease severity. Increased levels of de-aminated amino acid catabolites involved in the de novo nucleotide synthesis pathway were identified as early prognostic markers that correlated with the initial viral load. We further employed mice models of SARS-CoV2-MA10 and influenza infection to demonstrate that such de-amination of amino acids and de novo synthesis of nucleotides were associated with the abnormal proliferation of airway and vascular tissue cells in the lungs during the early stages of infection. Consequently, it can be concluded that lung parenchymal tissue remodeling in the early stages of respiratory viral infections induces systemic metabolic remodeling and that the associated key amino acid catabolites are valid predictors for excessive inflammatory response in later disease stages.
Institute
Graduate School of Medicine, Kyoto University
DepartmentCenter for Cancer Immunotherapy and Immunobiology
LaboratorySugiura-lab
Last NameSugiura
First NameYuki
AddressShogoin-Kawaramachi 53,, Sakyo-ku, Kyoto, Kyoto, 160-8582, Japan
Emailyuki.sgi@gmail.com
Phone+818050027858
Submit Date2023-11-16
Raw Data AvailableYes
Raw Data File Type(s)lcd, raw(Thermo)
Analysis Type DetailLC-MS
Release Date2023-12-04
Release Version1
Yuki Sugiura Yuki Sugiura
https://dx.doi.org/10.21228/M8DT65
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Project:

Project ID:PR001859
Project DOI:doi: 10.21228/M8DT65
Project Title:Amino acid catabolite markers for early prognostication of pneumonia in patients with COVID-19
Project Summary:Effective early-stage markers for predicting which patients are at risk of developing SARS-CoV-2 infection have not been fully investigated. Here, we performed comprehensive serum metabolome analysis of a total of 83 patients from two cohorts to determine that the acceleration of amino acid catabolism within 5 days from disease onset correlated with future disease severity. Increased levels of de-aminated amino acid catabolites involved in the de novo nucleotide synthesis pathway were identified as early prognostic markers that correlated with the initial viral load. We further employed mice models of SARS-CoV2-MA10 and influenza infection to demonstrate that such de-amination of amino acids and de novo synthesis of nucleotides were associated with the abnormal proliferation of airway and vascular tissue cells in the lungs during the early stages of infection. Consequently, it can be concluded that lung parenchymal tissue remodeling in the early stages of respiratory viral infections induces systemic metabolic remodeling and that the associated key amino acid catabolites are valid predictors for excessive inflammatory response in later disease stages.
Institute:Graduate School of Medicine, Kyoto University
Department:Center for Cancer Immunotherapy and Immunobiology
Laboratory:Sugiura-lab
Last Name:Sugiura
First Name:Yuki
Address:Shogoin-Kawaramachi 53, Sakyo-ku, Kyoto 606-8507, Japan
Email:yuki.sgi@gmail.com
Phone:+818050027858

Subject:

Subject ID:SU003097
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Gender:Male and female

Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Symotons
SA32381223asymptomatic
SA32381324asymptomatic
SA32381422asymptomatic
SA32381521asymptomatic
SA32381620asymptomatic
SA32381718asymptomatic
SA32381819asymptomatic
SA32381934mild
SA32382035mild
SA32382137mild
SA32382240mild
SA32382341mild
SA32382439mild
SA32382538mild
SA32382636mild
SA32382727mild
SA32382825mild
SA32382933mild
SA32383028mild
SA32383126mild
SA32383229mild
SA32383331mild
SA32383432mild
SA32383530mild
SA32383652moderate
SA32383751moderate
SA32383856moderate
SA32383950moderate
SA32384055moderate
SA32384154moderate
SA32384253moderate
SA32384344moderate
SA32384443moderate
SA32384549moderate
SA32384645moderate
SA32384742moderate
SA32384848moderate
SA32384947moderate
SA32385046moderate
SA32379513Negative
SA32379612Negative
SA32379714Negative
SA32379811Negative
SA32379915Negative
SA3238001Negative
SA32380117Negative
SA32380210Negative
SA32380316Negative
SA3238044Negative
SA3238053Negative
SA3238069Negative
SA3238075Negative
SA3238082Negative
SA3238098Negative
SA3238107Negative
SA3238116Negative
SA32385168severe
SA32385266severe
SA32385367severe
SA32385470severe
SA32385565severe
SA32385671severe
SA32385769severe
SA32385861severe
SA32385958severe
SA32386057severe
SA32386159severe
SA32386260severe
SA32386363severe
SA32386462severe
SA32386564severe
Showing results 1 to 71 of 71

Collection:

Collection ID:CO003090
Collection Summary:Residual serum samples for biochemical and immunological tests were collected from patients with suspected SARS-CoV-2 infection who underwent RT-PCR testing of nasopharyngeal swab or saliva samples at Keio University Hospital or Osaka Metropolitan University Hospital from March 2020 to January 2021. The diagnosis of COVID-19 was based on a positive RT-PCR test from a nasopharyngeal swab or saliva sample. The classification of severity was based on the Japanese Ministry of Health, Labour and Welfare’s classification of severity (criteria for evaluation by healthcare professionals) and was defined as follows: asymptomatic, no symptoms associated with COVID-19; mild disease, SARS-CoV-2-positive with no findings of pneumonia; moderate disease, SARS-CoV-2-positive with findings of pneumonia but not requiring a ventilator or intensive care unit (ICU) management; and severe disease, SARS-CoV-2-positive requiring ventilator or ICU management, including death attributed to COVID-19 during the treatment period. For a negative control, residual serum samples were collected from patients who underwent RT-PCR testing using nasopharyngeal swab fluid between April and May 2020 at Keio University Hospital and received negative RT-PCR test results, making them clinically unlikely to have COVID-19. The study included the early patient cohorts of waves 1, 2, and 3 of COVID-19 conducted in Japan from March to December 2020. For cohorts 1 and 2, patients were not excluded because of comorbidities, as the main objective was to include the greatest possible number of severe cases for which specimens were available early after disease onset. Cases in the mild and moderate groups were selected based on matching age and sex distribution with the severe group. No specific exclusions were made in any group during the study period, mainly because the number of samples was limited. Asymptomatic and mildly symptomatic patients were selected for inclusion by balancing the sex ratio. The higher proportion of males in the moderate and severe categories is due to the observed tendency for males to be more severely affected. This was particularly true for patients hospitalized during the study period. Sample collection and utilization were conducted under the approval of the Ethics Committee of the Keio University School of Medicine (approval numbers 20200059 and 20200063) and the Ethics Committee of Osaka Metropolitan University Graduate School of Medicine (approval number 2020-003). The use of residual samples was conducted on an opt-out basis based on the approval of the relevant ethics committees. All samples were stored at -80 °C.
Sample Type:Blood (serum)
Storage Conditions:-80℃

Treatment:

Treatment ID:TR003106
Treatment Summary:No Treatment

Sample Preparation:

Sampleprep ID:SP003103
Sampleprep Summary:Frozen serum samples of Cohort-1 participants, together with internal standard compounds were sonicated in ice-cold methanol (500 μL), to which an equal volume of chloroform and 0.4 times the volume of ultrapure water (LC/MS grade, Wako Pure Chemical, Tokyo, Japan) were added. The suspension was centrifuged at 15,000 × g for 15 min at 4 °C. The aqueous phase was then filtered in an ultrafiltration tube (Ultrafree MC-PLHCC, Human Metabolome Technologies, Tsuruoka City, Japan), and the filtrate was concentrated using a vacuum concentrator (SpeedVac; Thermo Fisher Scientific, Waltham, MA, USA). The concentrated filtrate was dissolved in 50 μL ultrapure water and subjected to IC-HR-MS analysis. Methionine sulfone (L-Met) and 2-morpholinoethanesulfonic acid (MES) were used as internal standards for cationic and anionic metabolites, respectively.

Combined analysis:

Analysis ID AN004903 AN004904
Analysis type MS MS
Chromatography type Ion exchange Reversed phase
Chromatography system Thermo Dionex ICS-5000+ Shimadzu Nexera X2
Column Dionex IonPac AS11-HC (250 x 2mm, 4um) Sigma-Aldrich Discovery HS F5-3 (150 x 2.1 mm, 3 um)
MS Type ESI ESI
MS instrument type Orbitrap Triple quadrupole
MS instrument name Thermo Q Exactive Focus LCMS-8060, Shimadzu Corporation
Ion Mode UNSPECIFIED UNSPECIFIED
Units Peak area/Internal Standard Peak area/Internal Standard

Chromatography:

Chromatography ID:CH003698
Chromatography Summary:Metabolites were detected using an orbitrap-type MS instrument (Q-Exactive focus; Thermo Fisher Scientific) connected to a high-performance IC system (ICS-5000+, Thermo Fisher Scientific) that enabled highly selective and sensitive metabolite quantification owing to the IC separation and Fourier transfer MS principle. The IC instrument was equipped with an anion electrolytic suppressor (Dionex AERS 500; Thermo Fisher Scientific) to convert the potassium hydroxide gradient into pure water before the sample entered the MS instrument. Separation was performed using a Dionex IonPac AS11-HC 4 μm particle size column (Thermo Fisher Scientific). The IC flow rate was 0.25 mL/min, supplemented post-column with 0.18 mL/min makeup flow of MeOH. The potassium hydroxide gradient conditions for IC separation were as follows: from 1 mM to 100 mM (0–40 min) to 100 mM (40–50 min) and to 1 mM (50.1–60 min) at a column temperature of 30 °C. The mass spectrometer was operated in the ESI-positive and negative mode with polarity switching, for all detections. A full mass scan (m/z 70–900) was performed at a resolution of 70,000. The automatic gain control target was set at 3 × 106 ions, and the maximum ion injection time was 100 ms. The source ionization parameters were optimized with a spray voltage of 3 kV, and other parameters were as follows: transfer temperature, 320 °C; S-Lens level, 50; heater temperature, 300 °C; sheath gas, 36; and aux gas, 10.
Instrument Name:Thermo Dionex ICS-5000+
Column Name:Dionex IonPac AS11-HC (250 x 2mm, 4um)
Column Temperature:30 °C
Flow Gradient:From 1 mM to 100 mM (0–40 min) to 100 mM (40–50 min) and to 1 mM (50.1–60 min)
Flow Rate:0.25 mL/min, supplemented post-column with 0.18 mL/min makeup flow of MeOH
Solvent A:The potassium hydroxide gradient conditions
Solvent B:N/A
Chromatography Type:Ion exchange
  
Chromatography ID:CH003699
Chromatography Summary:Cationic metabolite concentrations were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS). In essence, we employed a triple-quadrupole mass spectrometer equipped with an electrospray ionization (ESI) ion source (LCMS-8060, Shimadzu Corporation, Kyoto, Japan) operated in both positive and negative-ESI and in multiple reaction monitoring (MRM) modes. Analyte separation was achieved on a Discovery HS F5-3 column (2.1 mm I.D. × 150 mm L, 3 μm particle size; Sigma-Aldrich, St. Louis, MO, USA) through a gradient elution with mobile phase A (0.1% formate) and mobile phase B (0.1% acetonitrile). The elution profile was as follows: 100:0 (0–5 min), 75:25 (5–11 min), 65:35 (11–15 min), 5:95 (15–20 min), and 100:0 (20–25 min), with a constant flow rate of 0.25 mL/min and a column oven set at 40 °C.
Instrument Name:Shimadzu Nexera X2
Column Name:Sigma-Aldrich Discovery HS F5-3 (150 x 2.1 mm, 3 um)
Column Temperature:40 °C
Flow Gradient:100:0 (0–5 min), 75:25 (5–11 min), 65:35 (11–15 min), 5:95 (15–20 min), and 100:0 (20–25 min)
Flow Rate:0.25 mL/min
Solvent A:0.1% formate
Solvent B:acetonitrile with 0.1% formate
Chromatography Type:Reversed phase

MS:

MS ID:MS004646
Analysis ID:AN004903
Instrument Name:Thermo Q Exactive Focus
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:For IC-HR-MS data analysis, the Trace Finder compound identification and confirmation setup parameters included a molecular ion intensity threshold override of 10,000, S/N 5, and mass tolerance of 5 ppm. Isotope pattern analysis using a 90% fit threshold, 30% allowable relative intensity deviation, and 5 ppm mass deviation was also performed to ensure that the relative intensities of the M + 1 and/or M + 2 isotope peaks for each compound were consistent with the theoretical relative intensities.
Ion Mode:UNSPECIFIED
  
MS ID:MS004647
Analysis ID:AN004904
Instrument Name:LCMS-8060, Shimadzu Corporation
Instrument Type:Triple quadrupole
MS Type:ESI
MS Comments:For LC-MS/MS analysis, chromatographic peaks obtained with compound-specific SRM channels were integrated and manually reviewed. For a single target compound, one or more confirmatory SRM channels were set (if available) to confirm peak compound identification. Chromatograms were acquired using Lab Solutions (ver. 5.113, Shimadzu). Peak areas were determined using Data browser software.
Ion Mode:UNSPECIFIED
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