Summary of Study ST001169

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 PR000781. The data can be accessed directly via it's Project DOI: 10.21228/M8QT12 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.

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Study IDST001169
Study TitleAlterations in serum metabolic patterns are associated with atrial fibrillation
Study SummaryLittle evidence has been reported in characterizing the serum alterations in metabolic patterns in atrial fibrillation (AF). We include the result of the global alterations that occur in the intestinal microbiota in a cohort of AF patients and matched controls based on a strategy of metabolomic analyses. Our findings characterize the disordered microbial metabolite profiles in AF.
Institute
Beijing Chaoyang Hospital
Last NameZuo
First NameKun
Address8th Gongtinanlu Rd, Chaoyang District, Beijing, China, 100020
Emailzuokun699@163.com
Phone86-10-15210511744
Submit Date2019-04-11
Raw Data File Type(s)raw(Thermo)
Analysis Type DetailLC-MS
Release Date2019-04-17
Release Version1
Kun Zuo Kun Zuo
https://dx.doi.org/10.21228/M8QT12
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR000781
Project DOI:doi: 10.21228/M8QT12
Project Title:Alterations in serum metabolic patterns are associated with atrial fibrillation
Project Summary:Little evidence has been reported in characterizing the serum alterations in metabolic patterns in atrial fibrillation (AF). We include the result of the global alterations that occur in the intestinal microbiota in a cohort of AF patients and matched controls based on a strategy of metabolomic analyses. Our findings characterize the disordered microbial metabolite profiles in AF.
Institute:Beijing Chaoyang Hospital
Last Name:Zuo
First Name:Kun
Address:8th Gongtinanlu Rd,, Chaoyang District, Beijing, Beijing, 10020, China
Email:zuokun699@163.com
Phone:10-86-15210511744

Subject:

Subject ID:SU001234
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606

Factors:

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

mb_sample_id local_sample_id Group
SA080793afb-34A
SA080794afb-35A
SA080795afb-33A
SA080796afb-31A
SA080797afb-30A
SA080798afb-36A
SA080799afb-32A
SA080800afb-38A
SA080801afb-42A
SA080802afb-13A
SA080803afb-41A
SA080804afb-40A
SA080805afb-39A
SA080806afb-29A
SA080807afb-37A
SA080808afb-17A
SA080809afb-19A
SA080810afb-16A
SA080811afb-15A
SA080812afb-14A
SA080813afb-28A
SA080814afb-20A
SA080815afb-18A
SA080816afb-26A
SA080817afb-27A
SA080818afb-24A
SA080819afb-23A
SA080820afb-21A
SA080821afb-22A
SA080822B55C
SA080823A50C
SA080824B63C
SA080825B30C
SA080826B37C
SA080827B24C
SA080828B21C
SA080829B40C
SA080830B4C
SA080831B13C
SA080832B57C
SA080833B11C
SA080834B17C
SA080835A5C
SA080836B49C
SA080837B14C
SA080838A20C
SA080839A19C
SA080840A30C
SA080841A31C
SA080842A49C
SA080843A23C
SA080844A22C
SA080845A9C
SA080846A10C
SA080847A13C
SA080848A6C
SA080849A54C
SA080850A18C
SA080851B60C
SA080852B23C
SA080853B8C
SA080854A33C
SA080855A47C
SA080856A34C
SA080857B9C
Showing results 1 to 65 of 65

Collection:

Collection ID:CO001228
Collection Summary:Blood samples were collected from each participant, immediately frozen at −20 °C, transported on ice to the laboratory and then stored at −80 °C.
Sample Type:Blood (serum)

Treatment:

Treatment ID:TR001249
Treatment Summary:To explore how the host metabolic pattern alterations were impacted by the gut microbiota dysbiosis in AF patients, serum samples were collected and analyzed by high-throughput liquid chromatography-mass spectrometry (LC/MS).

Sample Preparation:

Sampleprep ID:SP001242
Sampleprep Summary:The serum samples were thawed at room temperature and 100 μL was pipetted into centrifuge tubes (1.5 mL) in preparation for extraction. The protein was precipitated with 300 μL of methanol, and 10 μL of internal standard (2.9 mg/mL, DL-o-Chlorophenylalanine) was added. The samples were vortexed for 30 s and centrifuged at 12000 rpm for 15 minat 4 °C. 200 μL of the supernatant was transferred to a vial for further analysis.

Combined analysis:

Analysis ID AN001933 AN001934
Analysis type MS MS
Chromatography type Reversed phase Reversed phase
Chromatography system Thermo Dionex Ultimate 3000 Thermo Dionex Ultimate 3000
Column Thermo Hypergod C18 (100 x 4.6mm,3um) Thermo Hypergod C18 (100 x 4.6mm,3um)
MS Type ESI ESI
MS instrument type Orbitrap Orbitrap
MS instrument name Thermo Orbitrap Elite Hybrid Ion Trap-Orbitrap Thermo Orbitrap Elite Hybrid Ion Trap-Orbitrap
Ion Mode POSITIVE NEGATIVE
Units feature area feature area

Chromatography:

Chromatography ID:CH001403
Instrument Name:Thermo Dionex Ultimate 3000
Column Name:Thermo Hypergod C18 (100 x 4.6mm,3um)
Chromatography Type:Reversed phase

MS:

MS ID:MS001789
Analysis ID:AN001933
Instrument Name:Thermo Orbitrap Elite Hybrid Ion Trap-Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:All metabolomic data were prepared for feature extraction and preprocessed with Compound Discoverer 2.0 software (Thermo). Using SIMCA-P software (Umetrics AB, Umea, Sweden), a multivariate Analysis (MVA) was performed. The exact molecular mass, ppm and ms/ms value of these compounds was used to identify the metabolites related to the featured peak in the Metlin database (http://metlin.scripps.edu). The score value indicated the matching rate was calculated by Compound Discoverer 2.0 software (Thermo) with max of 100.
Ion Mode:POSITIVE
  
MS ID:MS001790
Analysis ID:AN001934
Instrument Name:Thermo Orbitrap Elite Hybrid Ion Trap-Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:All metabolomic data were prepared for feature extraction and preprocessed with Compound Discoverer 2.0 software (Thermo). Using SIMCA-P software (Umetrics AB, Umea, Sweden), a multivariate Analysis (MVA) was performed. The exact molecular mass, ppm and ms/ms value of these compounds was used to identify the metabolites related to the featured peak in the Metlin database (http://metlin.scripps.edu). The score value indicated the matching rate was calculated by Compound Discoverer 2.0 software (Thermo) with max of 100.
Ion Mode:NEGATIVE
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