Summary of Study ST001813
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 PR001146. The data can be accessed directly via it's Project DOI: 10.21228/M8K69N 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.
| Study ID | ST001813 |
| Study Title | Associations between the gut microbiome and metabolome in early life |
| Study Type | Untargeted and semi-targeted metabolomics analysis |
| Study Summary | The infant intestinal microbiome plays an important role in metabolism and immune development with impacts on lifelong health. The linkage between the taxonomic composition of the microbiome and its metabolic phenotype is undefined and complicated by redundancies in the taxon-function relationship within microbial communities. To inform a more mechanistic understanding of the relationship between the microbiome and health, we performed an integrative statistical and machine learning-based analysis of microbe taxonomic structure and metabolic function (using untargeted (binned) NMR and relative concentration data) in order to characterize the taxa-function relationship in early life. |
| Institute | University of North Carolina at Chapel Hill |
| Department | Nutrition |
| Laboratory | Metabolomics and Exposome Laboratory at UNC CH Nutrition Research Institute |
| Last Name | Sumner |
| First Name | Susan |
| Address | 500 Laureate Way, Kannapolis, NC, 28081, USA |
| susan_sumner@unc.edu | |
| Phone | 919-541-6861 |
| Submit Date | 2021-05-26 |
| Total Subjects | 440 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | fid |
| Analysis Type Detail | NMR |
| Release Date | 2021-07-14 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Sample Preparation:
| Sampleprep ID: | SP001896 |
| Sampleprep Summary: | De-identified stool aliquots were shipped on dry ice and immediately stored at -80 °C for metabolomics analysis. Samples were randomized into batches. For each batch, samples were thawed and ~150mg of stool was transferred to MagNA Lyser tubes after recording the weight, Samples were then homogenized with 50% acetonitrile in water by using the Omni Bead Disruptor (Omni International, GA, USA). Homogenized samples were centrifuged at 16000 rcf and the supernatant was separated into another tube. An aliquot (1000 uL, 100 mg equivalent of fecal mass) was transferred into Eppendorf tube and lyophilized overnight. The dried extract was reconstituted in 700 uL of NMR master mix (containing 0.2M phosphate, 0.5 mM DSS-d6, and 0.2% sodium azide), vortexed on a multitube vortexer at speed 5 for 2 min and centrifuged at 16000 rcf for 5 min. A 600 µl aliquot of the supernatant was transferred into a pre-labeled 5mm NMR tube for data acquisition on a 700 MHz spectrometer. Additionally, study pooled samples (created from randomly selected study samples) and batch pooled quality control (QC) samples were generated from supernatants of study samples and aliquots of supernatants were dried and reconstituted similar to study samples described above, and used for QC purposes. |
| Sampleprep Protocol Filename: | 1.Fecal_Metabolomics_Microbiome_Study_Procedures |
| Processing Storage Conditions: | 4℃ |
| Extract Storage: | -80℃ |
| Sample Resuspension: | In phosphate buffer containing D2O |
