A recent metabolomics study of plasma samples from normoglycaemic individuals has identified new predictive biomarkers for type 2 diabetes mellitus. The biomarkers described by the authors demonstrate a potential causal connection between changes in glycine and phenylalanine and incident diabetes mellitus
Objective Metabolic signatures have emerged as valuable signaling molecules in the biochemical proc...
Using a non-targeted metabolomics approach of 447 fasting plasma metabolites, we searched for novel ...
The trajectory and underlying mechanisms of human health are determined by a complex interplay betwe...
Type 2 diabetes (T2D) and its comorbidities have reached epidemic proportions, with more than half a...
The aim was to determine if metabolomics could be used to build a predictive model for type 2 diabet...
The growing field of metabolomics has opened up new opportunities for prediction of type 2 diabetes ...
Diabetes mellitus, a disease of modern civilization, is considered the major mainstay of mortalities...
Metabolomic discovery of biomarkers of type 2 diabetes (T2D) risk may reveal etiological pathways an...
Metabolomic discovery of biomarkers of type 2 diabetes (T2D) risk may reveal etiological pathways an...
Type 2 diabetes (T2D) can be prevented in pre-diabetic individuals with impaired glucose tolerance (...
The objective of the current study was to find a metabolic signature associated with the early manif...
OBJECTIVE: The objective of the current study was to find a metabolic signature associated with the ...
Aims/hypothesis The aims of this study were to evaluate systematically the predictive power of compr...
Using a nontargeted metabolomics approach of 447 fasting plasma metabolites, we searched for novel m...
Objective Metabolic signatures have emerged as valuable signaling molecules in the biochemical proc...
Using a non-targeted metabolomics approach of 447 fasting plasma metabolites, we searched for novel ...
The trajectory and underlying mechanisms of human health are determined by a complex interplay betwe...
Type 2 diabetes (T2D) and its comorbidities have reached epidemic proportions, with more than half a...
The aim was to determine if metabolomics could be used to build a predictive model for type 2 diabet...
The growing field of metabolomics has opened up new opportunities for prediction of type 2 diabetes ...
Diabetes mellitus, a disease of modern civilization, is considered the major mainstay of mortalities...
Metabolomic discovery of biomarkers of type 2 diabetes (T2D) risk may reveal etiological pathways an...
Metabolomic discovery of biomarkers of type 2 diabetes (T2D) risk may reveal etiological pathways an...
Type 2 diabetes (T2D) can be prevented in pre-diabetic individuals with impaired glucose tolerance (...
The objective of the current study was to find a metabolic signature associated with the early manif...
OBJECTIVE: The objective of the current study was to find a metabolic signature associated with the ...
Aims/hypothesis The aims of this study were to evaluate systematically the predictive power of compr...
Using a nontargeted metabolomics approach of 447 fasting plasma metabolites, we searched for novel m...
Objective Metabolic signatures have emerged as valuable signaling molecules in the biochemical proc...
Using a non-targeted metabolomics approach of 447 fasting plasma metabolites, we searched for novel ...
The trajectory and underlying mechanisms of human health are determined by a complex interplay betwe...
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