<p>(a) Heat-map of fold change of 33 differential metabolites; (b) Discrimination T2DM from DACD in the training set using phytosphingosine (1), sphinganine-phosphate (2), and the combination of them (3). (c) Discrimination T2DM from DACD in the test set using phytosphingosine (1), sphinganine-phosphate (2), and the combination of them (3).</p
"Metabonomics" method requires the development of rapid, advanced analytical tools and GC will play ...
<p>Metabolites have been classified according to their molecular structures or known metabolic funct...
Metabolomics is instrumental in the analysis of disease mechanisms and biomarkers of disease. The hu...
<div><p>Diabetes related cognitive dysfunction (DACD), one of the chronic complications of diabetes,...
Diabetes related cognitive dysfunction (DACD), one of the chronic complications of diabetes, serious...
Type 2 diabetes mellitus (T2DM) is one of the most widely spread diseases, affecting around 90% of t...
Abstract Non-targeted metabonomic techniques were used to explore changes in metabolic profiles of p...
Type 2 diabetes (T2D) and its comorbidities have reached epidemic proportions, with more than half a...
Aims: To explore the usefulness of metabolomics as a method to obtain a broad array of biomarkers fo...
Type 2 diabetes mellitus (DM) is a progressive disease and the rate of progression from non-diabetes...
Abiding by the exposome paradigm, incorporation of external and internal exposure metrics using meta...
Abiding by the exposome paradigm, incorporation of external and internal exposure metrics using meta...
The prevalence of type 2 diabetes continuously increases globally. The traditional Chinese medicine ...
Objective Metabolic signatures have emerged as valuable signaling molecules in the biochemical proc...
It is estimated that at least 29.1 million Americans, or 9.3 % of the US population, currently have ...
"Metabonomics" method requires the development of rapid, advanced analytical tools and GC will play ...
<p>Metabolites have been classified according to their molecular structures or known metabolic funct...
Metabolomics is instrumental in the analysis of disease mechanisms and biomarkers of disease. The hu...
<div><p>Diabetes related cognitive dysfunction (DACD), one of the chronic complications of diabetes,...
Diabetes related cognitive dysfunction (DACD), one of the chronic complications of diabetes, serious...
Type 2 diabetes mellitus (T2DM) is one of the most widely spread diseases, affecting around 90% of t...
Abstract Non-targeted metabonomic techniques were used to explore changes in metabolic profiles of p...
Type 2 diabetes (T2D) and its comorbidities have reached epidemic proportions, with more than half a...
Aims: To explore the usefulness of metabolomics as a method to obtain a broad array of biomarkers fo...
Type 2 diabetes mellitus (DM) is a progressive disease and the rate of progression from non-diabetes...
Abiding by the exposome paradigm, incorporation of external and internal exposure metrics using meta...
Abiding by the exposome paradigm, incorporation of external and internal exposure metrics using meta...
The prevalence of type 2 diabetes continuously increases globally. The traditional Chinese medicine ...
Objective Metabolic signatures have emerged as valuable signaling molecules in the biochemical proc...
It is estimated that at least 29.1 million Americans, or 9.3 % of the US population, currently have ...
"Metabonomics" method requires the development of rapid, advanced analytical tools and GC will play ...
<p>Metabolites have been classified according to their molecular structures or known metabolic funct...
Metabolomics is instrumental in the analysis of disease mechanisms and biomarkers of disease. The hu...