Summary of Study ST002100

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 PR001330. The data can be accessed directly via it's Project DOI: 10.21228/M8ST3F 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.

Perform statistical analysis  |  Show all samples  |  Show named metabolites  |  Download named metabolite data  
Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data files (Contains raw data)
Study IDST002100
Study TitleFunctional metabolomics-based molecular profiling of acute and chronic hepatitis (Human Serum Metabolomics)
Study SummaryNon-alcoholic steatohepatitis (NASH) is a metabolic dysregulation triggered by an overload disrupting the hepatic tolerance to external molecules. With the complexity and diversity of hepatitis triggers, no effective clinical classification and treatment are available, and even using the same strategies or approaches for acute and chronic hepatitis. For us, it is really difficult to precisely diagnose and treat hepatitis accordingly. To overcome this challenge, we integrated metabolomic, lipidomics, transcriptomics and other life science frontier technologies for functional metabolomics studies, and pioneered the redefinition of hepatitis at the molecular level. Our findings suggested that acute hepatitis mainly interferes with purine metabolism and amino acids metabolism, while chronic hepatitis mainly causes disruption of hepatic bile acids and lipidome, especially glycerolipids. Based on the liver-gut axis, we also found that the metabolic regulation of the gut microbiota is another key factor for chronic hepatitis development. In conclusion, functional metabolomics enables the cognition of disease occurrence, development and regression from small molecule metabolic modifications and modulations, realizing the ultimate goal of treating diseases and improving population health through regulation of dysregulated metabolism
Institute
Shanghai Center for Systems Biomedicine, Shanghai Jiaotong University
DepartmentShanghai Center for Systems Biomedicine
LaboratoryLu Group
Last NameLu
First NameHaitao
Address800 Dongchuan RD. Minhang District, Shanghai, Shanghai, 200240, China
Emailhaitao_lu@sjtu.edu.cn
Phone15221478139
Submit Date2022-03-10
Raw Data AvailableYes
Raw Data File Type(s)d
Analysis Type DetailLC-MS
Release Date2022-03-25
Release Version1
Haitao Lu Haitao Lu
https://dx.doi.org/10.21228/M8ST3F
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Sample Preparation:

Sampleprep ID:SP002191
Sampleprep Summary:Serum samples were mixed with 4 volumes of acetonitrile, which contains 0.001 mg/mL internal standard 4-chloro-DL-phenylalanine, to precipitate the proteins. After brief vortex mixing, the samples were incubated on ice for 15 min. The supernatants were collected after centrifuged at 20,000 g, 4 °C for 10 min, transferred to vials for LC-MS analysis.
  logo