IP Library Granted Patent US 9,740,819
Granted Patent B2
US 9,740,819 · App. 13/504,478 · Granted Aug 22, 2017

Method for determining risk of diabetes

View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 9,740,819
App. No.
13/504,478
Granted
Aug 22, 2017
Kind
B2
Abstract

A method of determining risk of diabetes is provided. In one embodiment, the method comprises: a) measuring the levels of a plurality of biomarkers in a blood samples obtained from a patient, wherein the plurality of biomarkers comprises at least five of the following biomarkers: glucose, adiponectin, CRP, IL2RA, ferritin, insulin and HbAIc; b) calculating a diabetes risk score for the patients using the levels and, optionally, patient age and/or gender. Results obtained from performing the assay on a reference population are similar or identical to those obtained using Formula I.

Claims (45)

1. A method of preventing development of diabetes in a subject, comprising:

a) measuring levels of a plurality of biomarkers in a blood sample obtained from the human subject, wherein said plurality of biomarkers comprises at least five of the following biomarkers: glucose, adiponectin, CRP, IL2RA, ferritin, insulin and HbA1c;

b) calculating a diabetes risk score for said subject as a function of said measured levels and optionally, the subject's age and/or gender;

c) applying the function of measured biomarker levels and optional age and/or gender of the subject to measured biomarker levels and optional age and/or gender of a human reference population to generate a risk profile associated with the reference population, the risk profile has a 95% confidence interval of a Spearman rank correlation coefficient squared (R 2 ) that is entirely above or includes a correlation value of 0.5 with a comparative risk profile associated with the reference population generated from the formula:

D=X+ 0.062*Age−0.64*Gender+1.62*GLUCOSE−3.37*ADIPOQ+0.60*CRP+0.70*FTH1+1.35*IL2RA+0.49*INSULIN+0.26*HBA1C,

wherein:

0.062*Age is subject age in years multiplied by 0.062;

0.64*Gender is subject gender, wherein female=0 and male=1, multiplied by 0.64;

1.62*GLUCOSE is the square root of the level of subject blood glucose in mg/dL, multiplied by 1.62;

3.37*ADIPOQ is the log10 of the level of subject blood adiponectin in μg/mL, multiplied by 3.37;

0.60*CRP is the log10 of level of subject blood CRP in mg/L, multiplied by 0.60;

0.70*FTH1 is the log10 of the level of subject blood level ferritin in ng/mL, multiplied by 0.70;

1.35*IL2RA is the log10 of the level of subject blood IL2RA in U/mL, multiplied by 1.35;

0.49*INSULIN is the log10 of the level of subject blood insulin in ulU/mL, multiplied by 0.49;

0.26*HBA1C is the level of subject blood Hb1Ac measured in as a percentage of total hemoglobin in blood multiplied by 0.26; and

X is any number.

2. The method of claim 1 , wherein said human reference population comprises at least 25 subjects.

3. The method of claim 1 , wherein the subjects of said human reference population are randomly chosen from a larger population of human subjects.

4. The method of claim 1 , further comprising: initiating a therapeutic intervention or a treatment regimen to delay, reduce or prevent the human subject's conversion to a diabetes disease state is performed if the calculated diabetes risk score indicates a risk that the subject has a high risk of developing diabetes.

5. The method of claim 1 , further comprising: initiating a therapeutic intervention or a treatment regimen to delay, reduce or prevent the human subject's conversion to a diabetes disease state is performed if the calculated diabetes risk score indicates a risk that the subject has a moderate risk of developing diabetes.

6. A method of preventing a human subject from developing diabetes if a categorical risk assessment associated with the human subject falls within a high risk mutually exclusive ordered risk category or a moderate risk mutually exclusive ordered risk category from among a plurality of mutually exclusive ordered risk categories consisting of high risk, moderate risk and low risk, comprising:

a) measuring levels of a plurality of biomarkers in a sample obtained from the human subject, wherein said plurality of biomarkers comprises at least five of the following biomarkers: glucose, adiponectin, CRP, IL2RA, ferritin, insulin and HbA1c;

b) generating a categorical risk assessment associated with the human subject generated as a function of a diabetes risk score (D) using said measured levels and optionally, the subject's age and/or gender by the formula:

D=X +0.062*Age−0.64*Gender+1.62*GLUCOSE−3.37*ADIPOQ+0.60*CRP+0.70*FTH1+1.35*IL2RA+0.49*INSULIN+0.26*HBA1C,

wherein:

0.062*Age is subject age in years multiplied by 0.062;

0.64*Gender is subject gender, wherein female=0 and male=1, multiplied by 0.64;

1.62*GLUCOSE is the square root of the level of subject blood glucose in mg/dL, multiplied by 1.62;

3.37*ADIPOQ is the log10 of the level of subject blood adiponectin in μg/mL, multiplied by 3.37;

0.60*CRP is the log10 of level of subject blood CRP in mg/L, multiplied by 0.60;

0.70*FTH1 is the log10 of the level of subject blood level ferritin in ng/mL, multiplied by 0.70;

1.35*IL2RA is the log10 of the level of subject blood IL2RA in U/mL, multiplied by 1.35;

0.49*INSULIN is the log10 of the level of subject blood insulin in ulU/mL, multiplied by 0.49;

0.26*HBA1C is the level of subject blood Hb1Ac measured in as a percentage of total hemoglobin in blood multiplied by 0.26; and

X is any number,

wherein when a plurality of categorized risk assessments from a plurality of human subjects calculated as a function of the formula is compared to a plurality of comparative categorized risk assessments from a human reference population each generated as a function of levels of at least five of: glucose, adiponectin, CRP, IL2RA, ferritin, insulin and HbA1c associated with each human reference population subject, and optionally each human reference population subject's age and/or gender, the plurality of comparative categorized risk assessments from the human reference population:

is not independent with 95% confidence, using a chi-squared test, from the categorical risk assessments generated as a function of the formula, and

each mutually exclusive ordered risk category includes a range of diabetes risk scores (D) selected such that each individual mutually exclusive ordered risk category generated by the formula includes an identical number of human subjects as a number of human reference population subjects included in a corresponding mutually exclusive ordered risk category generated as a function of the levels of at least five of: glucose, adiponectin, CRP, IL2RA, ferritin, insulin and HbA1c associated with each human reference population subject, and optionally each human reference population subject's age and/or gender.

7. The method of claim 6 , wherein said subject is categorized into one of said risk categories using at least the levels of glucose, adiponectin, CRP and HbA1c in the blood of said subject, and subject age.

8. The method of claim 6 , wherein said human reference population comprises at least 25 subjects.

9. The method of claim 6 , wherein the subjects of said human reference population are randomly chosen from a larger population of human subjects.

10. The method of claim 6 , further comprising:

c) initiating a therapeutic intervention or a treatment regimen to delay, reduce or prevent the human subject's conversion to a diabetes disease state if the calculated diabetes risk score indicates a risk that the subject will develop diabetes.

11. The method of claim 6 , further comprising:

c) initiating a therapeutic intervention or a treatment regimen to delay, reduce or prevent the human subject's conversion to a diabetes disease state if the calculated diabetes risk score indicates a high risk or moderate risk that the subject will develop diabetes.

Assignments (6)
SECURITY INTEREST Recorded Jan 31, 2017
From: TRUE HEALTH IP LLC
To: MONROE CAPITAL MANAGEMENT ADVISORS, LLC, AS ADMINISTRATIVE AGENT
Reel/Frame 041575/0879 →
RELEASE OF SECURITY INTEREST Recorded Jan 19, 2017
From: CVF BEADSEA LLC, AS COLLATERAL AGENT
To: HEALTH DIAGNOSTIC LABORATORY, INC.; INTEGRATED HEALTH LEADERS, LLC
Reel/Frame 041013/0469 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 23, 2016
From: TRUE HEALTH DIAGNOSTICS, LLC
To: TRUE HEALTH IP LLC
Reel/Frame 040412/0357 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 26, 2016
From: HEALTH DIAGNOSTIC LABORATORY, INC
To: TRUE HEALTH DIAGNOSTICS LLC
Reel/Frame 040144/0615 →
SECURITY INTEREST Recorded Aug 10, 2015
From: HEALTH DIAGNOSTIC LABORATORY, INC.; INTEGRATED HEALTH LEADERS, LLC
To: CVF BEADSEA LLC, AS COLLATERAL AGENT
Reel/Frame 036292/0164 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 6, 2014
From: TETHYS BIOSCIENCE, INC.
To: HEALTH DIAGNOSTIC LABORATORY, INC.
Reel/Frame 031894/0337 →