Summary of Study ST002320

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 PR001486. The data can be accessed directly via it's Project DOI: 10.21228/M8N999 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 IDST002320
Study TitleUntargeted Fecal Metabolomic Analyses Across an Industrialization Gradient Reveal Shared Metabolites and Impact of Industrialization on Fecal Microbiome-Metabolome Interactions
Study SummaryThe metabolome is a central determinant of human phenotypes and includes the plethora of small molecules produced by host and microbiome, or taken up from exogenous sources. However, studies of the metabolome have so far focused predominantly on urban, industrialized populations. Through an untargeted metabolomic analysis of 90 fecal samples from human individuals from Africa and the Americas—the birthplace and the last continental expansion of our species, respectively—we characterized a shared human fecal metabolome. The majority of detected metabolite features were ubiquitous across populations, despite any geographic, dietary, or behavioral differences. Such shared metabolite features included hyocholic acid and cholesterol. However, any characterization of the shared human fecal metabolome is insufficient without exploring the influence of industrialization. Here, we show chemical differences along an industrialization gradient, where the degree of industrialization correlates with metabolomic changes. We identified differential metabolite features like amino acid-conjugated bile acids and urobilin as major metabolic correlates of these behavioral shifts. Additionally, co-analyses with over 5,000 publicly available human fecal samples and co-occurrence probability analyses with the gut microbiome highlight connections between the human fecal metabolome and gut microbiome. Our results indicate that industrialization significantly influences the human fecal metabolome, but diverse human lifestyles and behavior still maintain a shared human fecal metabolome. This study represents the first characterization of the shared human fecal metabolome through untargeted analyses of populations along an industrialization gradient.
Institute
University of Oklahoma
Last NameHaffner
First NameJacob
Address101 David L. Boren Blvd, Norman, OK, 73019
Emailjacob.haffner@ou.edu
Phone405-325-7381
Submit Date2022-10-07
Num Groups6
Total Subjects90
Num Males29
Num Females47
Raw Data AvailableYes
Raw Data File Type(s)mzXML
Analysis Type DetailLC-MS
Release Date2022-10-25
Release Version1
Jacob Haffner Jacob Haffner
https://dx.doi.org/10.21228/M8N999
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN003787
Analysis type MS
Chromatography type Reversed phase
Chromatography system ThermoFisher Scientific Vanquish Flex Binary LC System
Column Kinetex C18 core-shell (50 x 2.1mm,1.7um,100Å)
MS Type ESI
MS instrument type Triple quadrupole
MS instrument name Thermo Q Exactive Plus Orbitrap
Ion Mode POSITIVE
Units Peak area

MS:

MS ID:MS003530
Analysis ID:AN003787
Instrument Name:Thermo Q Exactive Plus Orbitrap
Instrument Type:Triple quadrupole
MS Type:ESI
MS Comments:LC was performed on a ThermoFisher Scientific Vanquish Flex Binary LC System with a Kinetex C18 core-shell column (50 x 2.1 mm, 1.7 μM particle size, 100 Å pore size). LC column was kept at 40 °C and the sample compartment was held at 10 °C. The LC System was coupled to a ThermoFisher Scientific Q Exactive Plus Hybrid Quadrupole-Orbitrap Mass Spectrometer for MS/MS analysis. For the LC mobile phase, Solvent A was LC-MS grade water (Fisher Scientific) with 0.1% formic acid and Solvent B was LC-MS grade acetonitrile (Fisher Scientific) with 0.1% formic acid. Elution gradient started at 5% Solvent B for one minute, increased to 100% Solvent B until minute nine, held at 100% Solvent B for two minutes, dropped to 5% Solvent B over 30 seconds, and 5% Solvent B for one minute as re-equilibration. Samples were injected in random order with an injection volume of 5 μl. After elution, electrospray ionization was conducted with spray voltage of 3.8 kV, auxiliary gas flow rate of 10, auxiliary gas temperature at 350 °C, sheath gas flow rate at 35, and sweep gas flow at 0. Capillary temperature was 320 °C and S-lens RF was 50 V. MS1 scan range was 100-1,500 m/z, MS1 resolution was set to 35,000 and MS1 AGC target to 1e6. MS1 data were obtained in positive mode and MS2 data were obtained using data-dependent acquisition. In each cycle, 5 MS/MS scans of the most abundant ion were recorded. Both MS1 and MS2 injection times were set at 100 ms. MS2 resolutions were set to 17,500, MS2 AGC target was set to 5e5, and the inclusion window to 2 m/z. MS/MS was conducted at an apex trigger of 2-8 seconds and an exclusion window of 10 seconds. MS/MS collision energy gradually increased from 20-40%.
Ion Mode:POSITIVE
Capillary Temperature:320°C
Ionization:ESI
Analysis Protocol File:C18_RP_Pos_QEPlus_20180403_12.5mint_ddMS2_MS.txt
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