Summary of Study ST002337

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR001500. The data can be accessed directly via it's Project DOI: 10.21228/M8SX3G This work is supported by NIH grant, U2C- DK119886.


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 IDST002337
Study TitleGuangzhou Nutrition and Health Study (GNHS)
Study TypeObservational study
Study SummaryThe GNHS was an onging community-based prospective cohort study.In GNHS,a total of 4,048 Chinese participants aged 40-75 years living in the urban area of Guangzhou, China, for at least 5 years were recruited between 2008-2013. Participants were followed up every three years. During the period 2008-2019, blood samples were collected at up to three time points. In 2014-2019 follow-up visits, stool samples were collected at up to two time points.The information of diet, sociodemographic factors, lifestyle factors, and medications, etc. was collected at the baseline and follow-up visits. The aim of this study was to investigate the relationships among human nutrition, enviromental factors, gut microbiome and human diseases.
Westlake University
Last NameJu-Sheng
First NameZheng
AddressWestlake University,18 Shilongshan Rd, Cloud Town, Hangzhou, China
Submit Date2022-10-11
Raw Data AvailableYes
Raw Data File Type(s)cdf
Analysis Type DetailLC-MS
Release Date2022-11-21
Release Version1
Zheng Ju-Sheng Zheng Ju-Sheng application/zip

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Sample Preparation:

Sampleprep ID:SP002432
Sampleprep Summary:The order of all test samples is randomly selected before the preparation. 10 mg lyophilized feces were homogenized with 25μL water and extracted with 185μL cold ACN-Methanol (8/2, v/v). After centrifugation, 30 μL supernatant was used to derivatization with 20 μL freshly prepared derivative reagents on a Biomek 4000 workstation (Biomek 4000, Beckman Coulter, Inc., Brea, California, USA), followed by mixing with internal standards. Subsequently, the derivatized samples and serial dilutions of derivatized stock standards were randomly analyzed and quantitated by an ultra-performance liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS) system (ACQUITY UPLC-Xevo TQ-S, Waters Corp., Milford, MA, USA).