Investigating the Effects of Fructose Consumption and Inadequate Copper Intake on Nonalcoholic Fatty Liver Disease
Poster Mar 22, 2017
David E. Alonso, Biyun Shi, Ming Song, Xinmin Yin, Xiaoli Wei, Michelle Page, Joe Binkley, Craig McClain, and Xiang Zhang
Inflammation, oxidative stress, dyslipidemia, insulin resistance, and obesity are key clinical risk factors for the progression of non-alcoholic fatty liver disease (NAFLD). Interactions between diet, liver, and immune system play an important role in this disease. Increased fructose consumption and inadequate copper intake are two critical factors that may contribute to metabolic syndrome and lead to the development of diseases such as NAFLD. For example, increased consumption of high fructose corn syrup has been associated with liver fibrosis severity in subjects with NAFLD.
Metabolomics is a viable method for identifying compounds associated with NAFLD. In this investigation, high-quality data facilitate the identification of key metabolites differentiating normal versus diseased species.
Automation of Sample Preparation for Metabolomic Analysis Using Robotic PlatformPoster
We developed an automated sample preparation protocol based on a robotic platform PAL RTC (CTC Analytics AG, Zwingen Switzerland), which represent a modified Bligh and Dyer method producing samples for both hydrophilic metabolomics using GC-MS and lipidomics using SFC-MS simultaneously.READ MORE
Mass Spectrometry: From Imaging to Metabolic NetworksPoster
We show that network analysis of co-localized ions from mass spectrometry imaging data provides a detailed chemo-spatial insight into the metabolic heterogeneity of tumor. Furthermore, module preservation analysis between colorectal cancer patients with and without metastatic recurrence suggests hypotheses on the nature of the different local metabolic pathways.READ MORE
Identifying Non-Intentionally Added Substances (NIAS) in Food Contact MaterialsPoster
Concern about the safety of food products has increased dramatically with intentionally and non-intentionally added substances (NIAS) used in packaging being of particular interest. APGC and high resolution MS together with a workflow driven process was used to identify unknown compounds in packaging.READ MORE