PROTEIN AND LIPID BIOMARKERS PROVIDING CONSISTENT IMPROVEMENT TO THE PREDICTION OF TYPE 2 DIABETES
First Claim
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1. A method of evaluating risk for developing a diabetic condition, the method comprising:
- (a) obtaining biomarker measurement data for an individual, wherein the biomarker measurement data is representative of measurements of biomarkers in at least one biological sample from the individual;
wherein said biomarkers comprise;
(i) glucose, (ii) at least three protein biomarkers selected from the protein biomarkers in Table 1 and (iii) at least one lipid metabolite selected from the lipid metabolites in Table 2; and
(b) evaluating risk for the individual developing a diabetic condition based on an output from a model, wherein the model is executed based on an input of the biomarker measurement data;
or the method comprising;
(a) obtaining measurements of biomarkers from at least one biological sample isolated from an individual, wherein said biomarkers comprise;
(i) glucose, (ii) at least three protein biomarkers selected from the protein biomarkers in Table 1 and (iii) at least one lipid metabolite selected from the lipid metabolites in Table 2; and
(b) calculating a risk for developing a diabetic condition from the output of a model, wherein the inputs to said model comprise said measurements of biomarkers, and wherein said model was developed by fitting data from a longitudinal study of a population of individuals and said fitted data comprises levels of said biomarkers and conversion to Diabetes in said selected population of individuals.
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Abstract
The invention relates to biomarkers associated with Diabetes, including protein and lipid metabolite biomarkers, methods of using the biomarkers to determine the risk that an individual will develop Diabetes, and methods of screening a population to identify persons at risk for developing Diabetes and other pre-diabetic conditions.
41 Citations
60 Claims
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1. A method of evaluating risk for developing a diabetic condition, the method comprising:
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(a) obtaining biomarker measurement data for an individual, wherein the biomarker measurement data is representative of measurements of biomarkers in at least one biological sample from the individual;
wherein said biomarkers comprise;
(i) glucose, (ii) at least three protein biomarkers selected from the protein biomarkers in Table 1 and (iii) at least one lipid metabolite selected from the lipid metabolites in Table 2; and(b) evaluating risk for the individual developing a diabetic condition based on an output from a model, wherein the model is executed based on an input of the biomarker measurement data; or the method comprising; (a) obtaining measurements of biomarkers from at least one biological sample isolated from an individual, wherein said biomarkers comprise;
(i) glucose, (ii) at least three protein biomarkers selected from the protein biomarkers in Table 1 and (iii) at least one lipid metabolite selected from the lipid metabolites in Table 2; and(b) calculating a risk for developing a diabetic condition from the output of a model, wherein the inputs to said model comprise said measurements of biomarkers, and wherein said model was developed by fitting data from a longitudinal study of a population of individuals and said fitted data comprises levels of said biomarkers and conversion to Diabetes in said selected population of individuals. - View Dependent Claims (16, 17, 18, 19, 23, 36, 41, 42, 54, 57, 58)
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2. (canceled)
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3-15. -15. (canceled)
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20-22. -22. (canceled)
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24. A kit comprising reagents for measuring a group of biomarkers, wherein the biomarkers are:
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(i) glucose, (ii) at least three protein biomarkers selected from the protein biomarkers in Table 1 and (iii) at least one lipid metabolite selected from the lipid metabolites in Table 2.
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25-26. -26. (canceled)
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27. A computer readable medium having computer executable instructions for evaluating risk for developing a diabetic condition, the computer readable medium comprising:
- a routine, stored on the computer readable medium and adapted to be executed by a processor, to store biomarker measurement data representing measurements of at least the following;
(i) glucose, (ii) at least three protein biomarkers selected from the protein biomarkers in Table 1 and (iii) at least one lipid metabolite selected from the lipid metabolites in Table 2; anda routine stored on the computer readable medium and adapted to be executed by a processor to analyze the biomarker measurement data to evaluate a risk for developing a diabetic condition.
- a routine, stored on the computer readable medium and adapted to be executed by a processor, to store biomarker measurement data representing measurements of at least the following;
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28. A medical diagnostic test system for evaluating risk for developing a diabetic condition, the system comprising:
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a data collection tool adapted to collect biomarker measurement data representative of measurements of biomarkers in at least one biological sample from an individual, wherein said biomarkers comprise;
(i) glucose, (ii) at least three protein biomarkers selected from the protein biomarkers in Table 1 and (iii) at least one lipid metabolite selected from the lipid metabolites in Table 2; andan analysis tool comprising a statistical analysis engine adapted to generate a representation of a correlation between a risk for developing a diabetic condition and measurements of the biomarkers, wherein the representation of the correlation is adapted to be executed to generate a result; and an index computation tool adapted to analyze the result to determine the individual'"'"'s risk for developing a diabetic condition and represent the result as an index value.
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29-30. -30. (canceled)
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31. A method of developing a model for evaluation of risk for developing a diabetic condition, the method comprising:
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obtaining biomarker measurement data, wherein the biomarker measurement data is representative of measurements of biomarkers from a population and includes endpoints of the population;
wherein said biomarkers for which measurement data is obtained comprise;
(i) glucose, (ii) at least three protein biomarkers selected from the protein biomarkers in Table 1 and (iii) at least one lipid metabolite selected from the lipid metabolites in Table 2;inputting the biomarker measurement data of at least a subset of the population into a model; and training the model for endpoints using the inputted biomarker measurement data to derive a representation of a correlation between a risk of developing a diabetic condition and measurements of biomarkers in at least one biological sample from an individual.
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32. A method of evaluating the current status of a diabetic condition in an individual, the method comprising:
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obtaining biomarker measurement data, wherein the biomarker measurement data is representative of measurements of biomarkers in at least one biological sample from the individual, wherein said biomarkers comprise;
(i) glucose, (ii) at least three protein biomarkers selected from the protein biomarkers in Table 1 and (iii) at least one lipid metabolite selected from the lipid metabolites in Table 2; andevaluating the current status of a diabetic condition in the individual based on an output from a model, wherein the model is executed based on an input of the biomarker measurement data.
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33. A method of evaluating a diabetic disease surrogate endpoint an individual, the method comprising:
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obtaining biomarker measurement data, wherein the biomarker measurement data is representative of measurements of biomarkers in at least one biological sample from the individual;
wherein said biomarkers comprise;
(i) glucose, (ii) at least three protein biomarkers selected from the protein biomarkers in Table 1 and (iii) at least one lipid metabolite selected from the lipid metabolites in Table 2; andevaluating a diabetic disease surrogate endpoint in the individual based on an output from a model, wherein the model is executed based on an input of the biomarker measurement data.
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34-35. -35. (canceled)
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37-40. -40. (canceled)
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43-52. -52. (canceled)
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55-56. -56. (canceled)
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59. (canceled)
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60. A method of evaluating the current status of a diabetic condition in an individual, the method comprising:
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obtaining biomarker measurement data, wherein the biomarker measurement data is representative of measurements of biomarkers in at least one biological sample from the individual; and evaluating the current status of a diabetic condition in the individual based on an output from a model, wherein the model is executed based on an input of the biomarker measurement data; wherein said biomarkers comprise;
(i) glucose, (ii) at least three protein biomarkers selected from the protein biomarkers in Table 1 and (iii) at least one lipid metabolite selected from the lipid metabolites in Table 2. - View Dependent Claims (53)
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Specification