scholarly journals Exploring potential biomarkers and determining the metabolic mechanism of type 2 diabetes mellitus using liquid chromatography coupled to high-resolution mass spectrometry

RSC Advances ◽  
2017 ◽  
Vol 7 (70) ◽  
pp. 44186-44198 ◽  
Author(s):  
Qiqi Zhao ◽  
Aihua Zhang ◽  
Wenjing Zong ◽  
Na An ◽  
Huamin Zhang ◽  
...  

Diabetes mellitus has imposed a huge burden on modern society and is a serious threat to human health globally.

Pancreatology ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. S33
Author(s):  
Rohith Gopala Rao ◽  
Lucy Oldfield ◽  
Anthony Evans ◽  
Lavanya Sivapalan ◽  
Philip Schuler ◽  
...  

Metabolites ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 423
Author(s):  
Cristina Jimenez-Luna ◽  
Ariadna Martin-Blazquez ◽  
Carmelo Dieguez-Castillo ◽  
Caridad Diaz ◽  
Jose Luis Martin-Ruiz ◽  
...  

Pancreatogenic diabetes mellitus (T3cDM) is a highly frequent complication of pancreatic disease, especially chronic pancreatitis, and it is often misdiagnosed as type 2 diabetes mellitus (T2DM). A correct diagnosis allows the appropriate treatment of these patients, improving their quality of life, and various technologies have been employed over recent years to search for specific biomarkers of each disease. The main aim of this metabolomic project was to find differential metabolites between T3cDM and T2DM. Reverse-phase liquid chromatography coupled to high-resolution mass spectrometry was performed in serum samples from patients with T3cDM and T2DM. Multivariate Principal Component and Partial Least Squares-Discriminant analyses were employed to evaluate between-group variations. Univariate and multivariate analyses were used to identify potential candidates and the area under the receiver-operating characteristic (ROC) curve was calculated to evaluate their diagnostic value. A panel of five differential metabolites obtained an area under the ROC curve of 0.946. In this study, we demonstrate the usefulness of untargeted metabolomics for the differential diagnosis between T3cDM and T2DM and propose a panel of five metabolites that appear altered in the comparison between patients with these diseases.


2013 ◽  
Vol 98 (6) ◽  
pp. E1060-E1065 ◽  
Author(s):  
Fengguo Xu ◽  
Subramaniam Tavintharan ◽  
Chee Fang Sum ◽  
Kaing Woon ◽  
Su Chi Lim ◽  
...  

Life Sciences ◽  
2018 ◽  
Vol 208 ◽  
pp. 201-207 ◽  
Author(s):  
Dan Ye ◽  
Tianbao Zhang ◽  
Guohua Lou ◽  
Weiwei Xu ◽  
Fengqin Dong ◽  
...  

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