Biomarkers for impaired glucose tolerance and methods using the same
View Patent ↗Biomarkers relating to insulin resistance, pre-diabetes, type-2 diabetes, metabolic syndrome, atherosclerosis, and cardiomyopathy are provided, as well as methods for using such biomarkers as biomarkers for insulin resistance, pre-diabetes, type-2 diabetes, metabolic syndrome, atherosclerosis, and cardiomyopathy. In addition, methods for modulating the respective disorders or conditions of a subject are also provided. Also provided are suites of small molecule entities as biomarkers for insulin resistance, pre-diabetes, type-2 diabetes, metabolic syndrome, atherosclerosis, and cardiomyopathy.
1. A method of classifying a subject according to glucose tolerance as having normal glucose tolerance (NGT), impaired glucose tolerance (IGT), or type-2 diabetes, the method comprising:
analyzing a biological sample from a subject to determine a level(s) of one or more biomarkers for glucose tolerance in the sample, wherein the one or more biomarkers are selected from the group consisting of 2-hydroxybutyrate, pantothenate, linoleoyl LPC, and 4-methyl-2-oxopentanoate; and
comparing the level(s) of the one or more biomarkers in the sample to glucose tolerance reference levels of the one or more biomarkers in order to classify the subject as having NGT, IGT, or type-2 diabetes.
2. The method of claim 1 , further comprising
analyzing the biological sample from the subject to determine a level(s) of one or more additional biomarkers for glucose tolerance in the sample, wherein the one or more additional biomarkers are selected from the group consisting of trigonelline (N-methylnicotinate), hydrocinnamic acid, creatine, oleate, xanthine, mannose, 3-hydroxybutyrate, alpha-ketoglutarate, 3-methyl-2-oxobutyrate, 3-methyl-2-oxovalerate, glycine, isoleucine, leucine, phenylalanine, serine, tyrosine, oleoyl LPC, linolenate, linoleate, glycerophosphorylcholine (GPC), stearate, adrenate, and valine;
wherein the comparing step further comprises comparing the level(s) of the one or more additional biomarkers in the sample to glucose tolerance reference levels of the one or more additional biomarkers in order to classify the subject as having NGT, IGT, or type-2 diabetes.
3. The method of claim 2 , wherein the method further comprises determining one or more of the subject's measurements of fasting plasma insulin, fasting plasma glucose, fasting plasma pro-insulin, fasting free fatty acids, HDL-cholesterol, LDL-cholesterol, C-peptide, adiponectin, peptide YY, hemoglobin A1C, waist circumference, body weight, and body mass index.
4. The method of claim 3 , wherein the method further comprises using one or more of the determined level(s) of the one or more biomarkers, the determined level(s) of the one or more additional biomarkers, and the one or more determined measurements of the subject in a mathematical model to classify the subject as having NGT, IGT, or type-2 diabetes.
5. The method of claim 1 , wherein the biological sample is blood, blood plasma, or blood serum.
6. The method of claim 1 , wherein the analysis method for the sample is mass spectrometry.
7. The method of claim 1 , wherein the biological sample is blood, blood plasma, or blood serum and the analysis method for the sample is mass spectrometry.
8. A method of classifying a subject according to glucose tolerance as having normal glucose tolerance (NGT), impaired glucose tolerance (IGT), or type-2 diabetes, the method comprising:
analyzing a biological sample from a subject to determine a level of 2-hydroxybutyrate; and
comparing the level of 2-hydroxybutyrate in the sample to a glucose tolerance reference level of 2-hydroxybutyrate in order to classify the subject as having NGT, IGT, or type-2 diabetes.
9. The method of claim 8 , further comprising:
analyzing the biological sample from the subject to determine a level(s) of one or more additional biomarkers for glucose tolerance in the sample, wherein the one or more additional biomarkers are selected from the group consisting of trigonelline (N-methylnicotinate), hydrocinnamic acid, pantothenate, linoleoyl LPC, creatine, oleate, xanthine, mannose, 3-hydroxybutyrate, alpha-ketoglutarate, 3-methyl-2-oxobutyrate, 3-methyl-2-oxovalerate, 4-methyl-2-oxopentanoate, glycine, isoleucine, leucine, phenylalanine, serine, tyrosine, oleoyl LPC, linolenate, linoleate, glycerophosphorylcholine (GPC), stearate, adrenate, and valine;
wherein the comparing step further comprises comparing the level(s) of the one or more additional biomarkers in the sample to glucose tolerance reference levels of the one or more additional biomarkers in order to classify the subject as having NGT, IGT, or type-2 diabetes.
10. The method of claim 9 , wherein the method further comprises determining one or more of the subject's measurements of fasting plasma insulin, fasting plasma glucose, fasting plasma pro-insulin, fasting free fatty acids, HDL-cholesterol, LDL-cholesterol, C-peptide, adiponectin, peptide YY, hemoglobin A1C, waist circumference, body weight, and body mass index.
11. The method of claim 10 , wherein the method further comprises using one or more of the determined level of 2-hydroxybutyrate, the determined level(s) of the one or more additional biomarkers, and the one or more determined measurements of the subject in a mathematical model to classify the subject as having NGT, IGT, or type-2 diabetes.
12. The method of claim 8 , wherein the biological sample is blood, blood plasma, or blood serum.
13. The method of claim 8 , wherein the analysis method for the sample is mass spectrometry.
14. The method of claim 8 , wherein the biological sample is blood, blood plasma, or blood serum and the analysis method for the sample is mass spectrometry.
15. A method of classifying a subject according to glucose tolerance as having normal glucose tolerance (NGT), impaired glucose tolerance (IGT), or type-2 diabetes, the method comprising
analyzing a biological sample from a subject to determine levels of biomarkers for glucose tolerance in the sample, wherein the biomarkers comprise all of 2-hydroxybutyrate, pantothenate, linoleoyl LPC, oleate, 3-hydroxybutyrate, 4-methyl-2-oxopentanoate, and serine; and
comparing the levels of the biomarkers in the sample to glucose tolerance reference levels of the biomarkers in order to classify the subject as having NGT, IGT, or type-2 diabetes.
16. The method of claim 15 , further comprising:
analyzing the biological sample from the subject to determine a level(s) of one or more additional biomarkers for glucose tolerance in the sample, wherein the one or more additional biomarkers are selected from the group consisting of trigonelline (N-methylnicotinate), hydrocinnamic acid, creatine, xanthine, mannose, alpha-ketoglutarate, 3-methyl-2-oxobutyrate, 3-methyl-2-oxovalerate, glycine, isoleucine, leucine, phenylalanine, tyrosine, oleoyl LPC, linolenate, linoleate, glycerophosphorylcholine (GPC), stearate, adrenate, and valine;
wherein the comparing step further comprises comparing the level(s) of the one or more additional biomarkers in the sample to glucose tolerance reference levels of the one or more additional biomarkers in order to classify the subject as having NGT, IGT, or type-2 diabetes.
17. The method of claim 16 , wherein the method further comprises determining one or more of the subject's measurements of fasting plasma insulin, fasting plasma glucose, fasting plasma pro-insulin, fasting free fatty acids, HDL-cholesterol, LDL-cholesterol, C-peptide, adiponectin, peptide YY, hemoglobin A1C, waist circumference, body weight, and body mass index.
18. The method of claim 17 , wherein the method further comprises using one or more of the determined levels of the biomarkers, the determined level(s) of the one or more additional biomarkers, and one or more of the determined measurements of the subject in a mathematical model to classify the subject as having NGT, IGT, or type-2 diabetes.
19. The method of claim 15 , wherein the biological sample is blood, blood plasma, or blood serum.
20. The method of claim 15 , wherein the analysis method for the sample is mass spectrometry.