METHOD FOR DETERMINING PERSONALIZED NUTRITION AND DIET USING NUTRIGENOMICS AND PHYSIOLOGICAL DATA

• US 20100113892A1
• Filed: 11/30/2007
• Published: 05/06/2010
• Est. Priority Date: 12/01/2006
• Status: Abandoned Application

• Current Assignee: James Kaput, Nancy Fogg-Johnson
• Original Assignee: James Kaput, Nancy Fogg-Johnson
• Inventors: Fogg-Johnson, Nancy, Kaput, James
• Application Number:
  US12/312,897
• Publication Number:
  US 20100113892A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: G16B 20/00 ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
• CPC Class Codes: G16B 20/20 Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets

Abstract

This invention relates generally to providing nutrigenomic information tailored to that of the customer so that the customer can make informed decisions regarding diet, exercise, risks of disease and other health issues that result in a healthier lifestyle and prolonged lifespan. In particular the invention provides systems for research and commercial purposes, particularly for research for improving dietary constituents, personalized nutrition and diets, and of nutrient-gene interactions involved in diseases. The invention further relates to a method for doing business encompassing establishing and running a nutrigenomic research super-market and providing validated nutrient intake data to health care practitioners.

Claims

1-56. -56. (canceled)

57. A method for providing an individual with a personalized diet for said individual, the personalized diet optimised to reduce the likelihood that said individual will succumb to a disease or disorder, the method comprising the steps of (i) collecting nutritional information relating to one or more consumable items procured by the individual;

(ii) storing the collected nutritional information in a first database;

(iii) collecting biological information from the individual, which biological information is associated with health or disease outcomes;

(iv) storing the collected biological information in a second database;

(v) repeating steps (i) through (iv) at predetermined intervals;

(vi) at any one interval, generating a statistical correlation that associates nutritional information with biological information;

(vii) using the statistical correlation to provide the individual with a personalized diet optimised to reduce the likelihood of the individual succumbing to a disease or disorder;

(viii) repeating any of steps (i) through (vii);

the method providing the individual with a personalized diet for said individual.

58. The method of claim 57 wherein the biological information comprises data selected from the group consisting of:

epigenetic data, genetic data, genomic data, nutrigenomic data, heart rate, breathing rate and volume, weight, BMI, HDL, LDL, cholesterol, glucose, lipids, HbA1c, blood pressure, and the presence or amount of biomarkers of inflammation, TNF-alpha, HsCRP, leukotrienes, prostaglandins, and hormones.

59. The method of claim 57 wherein the disease or disorder is selected from the group consisting of type 2 diabetes mellitus (T2DM), obesity, metabolic syndrome, Alzheimer'"'"'s disease, cardiovascular disease, and cancer.

60. The method of claim 57 wherein the disease is diabetes and the biological information comprises measurements of glucose levels in the individual.

61. The method of claim 57 wherein, additionally, activity levels and calorie expenditure for individuals is measured and stored in a database, and correlated with nutritional information and biological information.

62. The method of claim 61 wherein activity levels are analyzed using dimensionality reduction algorithms and correlated with nutritional information and biological information.

63. A system for providing an individual with a personalized diet for said individual, the personalized diet optimised to reduce the likelihood that said individual will succumb to a disease or disorder, the system comprising:

a computer loaded with a software operating system comprising an algorithm programmed to analyze a statistical correlation between two sets of data, the system further comprising performing the steps of (i) collecting nutritional information relating to one or more consumable items procured by the individual;

(ii) storing the collected nutritional information as a component of a first database in the first read-write digital storage. device;

(iii) collecting biological information from the individual;

(iv) storing the collected biological information as a component of in a second database in the second read-write digital storage device;

(v) repeating steps (i) through (iv) at predetermined intervals;

(vi) at any one interval, using the computer to generate a statistical correlation between the nutritional information and the biological information;

(vii) using the statistical correlation to provide the individual with a personalized diet optimised to reduce the likelihood of the individual succumbing to a disease or disorder;

(viii) repeating any of steps (i) through (vii);

the method providing the individual with a personalized diet for said individual.

64. The system of claim 63 wherein the biological information comprises epigenetic data, genetic data, genomic data, nutrigenomic data, measurements of heart rate, breathing rate and volume, blood pressure, weight, BMI, HDL, LDL, cholesterol, glucose, lipids, HbA1c, biomarkers of inflammation, TNF-alpha, HsCRP, leukotrienes, prostaglandins, and hormones.

65. The system of claim 63 wherein the disease or disorder is selected from the group consisting of type 2 diabetes mellitus (T2DM), obesity, metabolic syndrome, Alzheimer'"'"'s disease, cardiovascular disease, and cancer.

66. The system of claim 63 wherein the disease is diabetes and the biological information comprises measurements of glucose levels in the individual.

67. The system of claim 63 wherein, additionally, activity levels and calorie expenditure for individuals is measured and stored in a database, and correlated with nutritional information and biological information.

68. The system of claim 67 wherein activity levels are analyzed using dimensionality reduction algorithms and correlated with nutritional information and biological information.

69. A research supermarket for determining personalized diets, the research supermarket comprising:

a shop for selling food where unique product identifiers are associated with food items and are used to track and record data associated with such food items, and a computer loaded with a software operating system comprising an algorithm programmed to analyze a statistical correlation between two sets of data, the system further comprising performing the steps of (i) collecting nutritional information relating to one or more consumable items procured by the individual;

(ii) storing the collected nutritional information as a component of a first database in the first read-write digital storage device;

(iii) collecting biological information from the individual;

(iv) storing the collected biological information as a component of in a second database in the second read-write digital storage device;

(v) repeating steps (i) through (iv) at predetermined intervals;

(vi) at any one interval, using the computer to generate a statistical correlation between the nutritional information and the biological information;

(vii) using the statistical correlation to provide the individual with a personalized diet optimised to reduce the likelihood of the individual succumbing to a disease or disorder;

(viii) repeating any of steps (i) through (vii);

the method providing the individual with a personalized diet for said individual.

70. The research supermarket of claim 69 wherein the biological information comprises epigenetic data, genetic data, genomic data, nutrigenomic data, measurements of heart rate, breathing rate and volume, blood pressure, weight, BMI, HDL, LDL, cholesterol, glucose, lipids, HbA1c, biomarkers of inflammation, TNF-alpha, HsCRP, leukotrienes, prostaglandins, and hormones.

71. The research supermarket of claim 69 wherein the disease or disorder is selected from the group consisting of type 2 diabetes mellitus (T2DM), obesity, metabolic syndrome, Alzheimer'"'"'s disease, cardiovascular disease, and cancer.

72. The research supermarket of claim 69 wherein the nutritional information collected is associated with one or more unique product identifiers physically associated with food items procured by the individual.