Diagnostic system for selecting nutrition and pharmacological products for animals

• US 7,970,552 B1
• Filed: 11/19/2010
• Issued: 06/28/2011
• Est. Priority Date: 12/16/2008
• Status: Expired due to Fees

• Current Assignee: Hemopet
• Original Assignee: Hemopet
• Inventors: Dodds, W. Jean, Stefanon, Bruno
• Primary Examiner(s): Raymond; Edward
• Application Number:
  US12/927,769
• Publication Number:
  US 20110153221A1
• Time in Patent Office: 221 Days
• Field of Search: 702/19, 702182-185
• US Class Current: 702/19
• CPC Class Codes: G01N 33/6803 General methods of protein analysis not limited to specific proteins or families of proteins
• 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: G16B 20/40 Population genetics; Linkage disequilibrium
• CPC Class Codes: G16B 25/00 ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
• CPC Class Codes: G16B 25/10 Gene or protein expression profiling; Expression-ratio estimation or normalisation

Abstract

An analysis of the profile of a non-human animal comprises: a) providing a genotypic database to the species of the non-human animal subject or a selected group of the species; b) obtaining animal data; c) correlating the database of a) with the data of b) to determine a relationship between the database of a) and the data of b); c) determining the profile of the animal based on the correlating step; and d) determining a genetic profile based on the molecular dietary signature, the molecular dietary signature being a variation of expression of a set of genes which may differ for the genotype of each animal or a group of animals Nutrition and pharmalogical assessments are made. Reporting the determination is by the Internet, and payment for the report is obtained through the Internet.

Claims

1. A method for determining the nutrition of a non-human animal comprising the steps of:

(a) providing a genotypic database for the species of the non-human animal subject or a selected group of the non-human species;

(b) obtaining animal phenotypic data;

(c) correlating the database of (a) with the data of (b) to determine a relationship between the database of (a) and the data of (b); and

(d) determining a diagnostic profile of the animal or selected group of animals based on the correlating step (c), and selecting the biologically active nutrient from an obtained molecular dietary signature, the molecular dietary signature being the functional genomic profile which is a variation of expression of a set of genes which may differ for the genotype of each animal or selected group of animals.

2. A method of claim 1 comprising:

using a “

reference”

dataset containing the functional genomic profiles of biological samples for the multiple genotypes of different animals or groups of animals in varying physiological conditions;

using a “

target group”

dataset containing the functional genomic profiles of biological samples for the multiple genotypes of different animals or groups of animals in varying pathophysiological conditions;

using a “

nutrient”

dataset comprising the variable effects of nutritional components on a functional genomic profile of an animal or a group of animals of different genotypes, the different genotypes that are responsive differently to the same nutritional components; and

relating the “

reference”

or “

target group”

datasets with the “

nutrient”

datasets, to derive a nutrient for the selected animal genotypes to prevent, or treat, or control, or modulate a state of physiological homeostasis or pathophysiological condition of the animal or a group of animals.

3. The method of claim 1 including the step of reporting the determination on a communications network including the Internet.

4. The method of claim 1 wherein the nutrition is a food, a supplement, a botanical, a nutraceutical selected to promote wellness by enhancing an aspect of health of one or more animals and wherein wellness is promoted by preventing, attenuating or eliminating at least one disease state in one or more animals.

5. A method of formulating nutritional regime for a non-human animal comprising the steps of claim 1 to determine a relationship between the databases;

and determining the nutritional regimen for the animal based on the correlating step.

6. A method of determining a nutritional regime for a non-human animal comprising the steps of claim 2 to determine a relationship between the databases and determining the nutritional regimen for the animal based on the correlating step.

7. A method as claimed in claim 1 wherein the animal is either a canine or a feline;

the canine or feline is from the group consisting of one or more of breed type, specific breed, chronological age, physiological age, activity level, state of wellness, and state of disease.

8. A method as claimed in claim 2 wherein the condition is autoimmunity, anxiety, arthritis, depression, variable body condition score, immune suppression, or inflammation.

9. A method as claimed in claim 1, wherein the data of the animal is one or more data items related to genotype, selected from the group consisting of breed, breed(s) of parents, pedigree, sex, coat type, and evident hereditary conditions and disorders and the phenotypic data are selected from the group consisting of age, weight, veterinary medical history, reproductive history, present wellness or disease state, appetite, physical activity level, mental acuity, behavioral abnormalities and disposition.

10. A method as claimed in claim 2 wherein the reference data is data selected from group of animals with different genotypes in physiological homeostasis and includes at least one of DNA, RNA, proteins, metabolites and biomarkers.

11. A method as claimed in claim 2, wherein the target group data is data selected from groups of animals with different genotypes in non-physiological homeostasis and includes at least one of DNA, RNA, proteins, metabolites and biomarkers.

12. A method as claimed in claim 2, wherein the nutrient data is data selected from groups of animals with different genotypes, the different genotypes being responsive differently to the same nutritional components, and includes at least one of DNA, RNA, proteins, metabolites and biomarkers.

13. A method as claimed in claim 2, wherein the identified nutrient is a food, a supplement, a botanical, a nutraceutical selected to promote wellness by enhancing an aspect of health of one or more animals and wherein wellness is promoted by preventing, attenuating or eliminating at least one disease state in one or more animals.

14. A method of determining nutrition for an animal comprising:

(a) using a “

reference”

dataset containing functional genomic profiles of biological samples of the genotypes of different animals of the species, the different animals being healthy animals;

(b) selecting a “

target group”

dataset containing the functional genomic profile of biological samples of the genotypes of different animals, the different animals being unhealthy animals;

(c) using a “

biologically active nutrient”

dataset comprising different effects of biologically active nutritional components on functional genomic profiles of the different animals of different genotypes from those of the target group (b), the different genotypes being differently responsive to the same biologically active nutritional components;

(d) having the reference group or target group include the individual animal; and

(e) relating at least one of the “

reference”

or “

target group”

datasets with the “

biologically active nutrient”

dataset to identify a biologically active nutrient for the selected animal genotype to prevent, treat, control, or modulate a state of physiological homeostasis or pathophysiological condition of the individual animal in the reference group or target group.

15. A method as claimed in claim 14 wherein this diagnosis results in prescribing a treatment or prophylaxis for the subject based on the diagnosis.

16. A method of determining nutrition for an animal, comprising:

(a) using a “

reference”

dataset containing functional genomic profiles of biological samples of the genotypes of different animals of the species, the different animals being healthy animals;

(b) selecting a “

target group”

dataset containing the functional genomic profile of biological samples of the genotypes of different animals, the animals being unhealthy animals;

(c) using a “

biologically active nutrient”

dataset comprising different effects of biologically active nutritional components on functional genomic profiles of the different animals of different genotypes from those of the target group (b), the different genotypes being differently responsive to the same biologically active nutritional components;

(d) having the reference group or target group include the animals; and

(e) relating at least one of the “

reference”

or “

target group”

datasets with the “

biologically active nutrient”

dataset to identify a biologically active nutrient for the selected animal genotypes to prevent, treat, control, or modulate a state of physiological homeostasis or pathophysiological condition of the animal in the reference group or target group, and the relating being by using an analysis of gene or protein expression or the metabolytes in the biological sample of the target group.

17. A method as claimed in claim 16 wherein this diagnosis results in prescribing a treatment or prophylaxis for the subject based on the diagnosis.

18. A method of identifying a pharmacological product for animals, the animals being selectively companion animals and selectively being a canine comprising:

(a) using a “

reference”

dataset containing functional genomic profiles of biological samples of the genotypes of different animals of the species, the different animals being healthy animals;

(b) selecting a “

target”

dataset containing the functional genomic profile of biological samples of the genotypes of different animals, the different animals being unhealthy animals;

(c) using a “

pharmacological product”

dataset comprising different effects of pharmacological product on functional genomic profiles of the different animals of different genotypes from those of the target group (b), the different genotypes being differently responsive to the same pharmacological product;

(d) having the reference dataset or target dataset include an individual animal; and

(e) relating at least one of the “

reference”

or “

target group”

datasets with the pharmacological product dataset to identify a pharmacological product for the selected animal genotype to prevent, treat, control, or modulate a state of physiological homeostasis or pathophysiological condition of the individual animal in the reference dataset or target group.

19. A method as claimed in claim 18 wherein the identification is based on a molecular dietary signature being the expression of a gene or a set of genes which may differ for the genotypes of different animals of the same species, and the nutrient identification includes the molecular dietary signature that the biologically active nutrient induces in the individual animal.

20. A method as claimed in claim 18, wherein the reference dataset includes data selected from group of animals with different genotypes in physiological homeostasis and includes at least one of DNA, RNA, proteins, metabolites and biomarkers.

21. A method as claimed in claim 19, wherein the reference dataset includes data selected from group of animals with different genotypes in physiological homeostasis and includes at least one of DNA, RNA, proteins, metabolites and biomarkers.

22. A method as claimed in claim 18, wherein the target dataset includes data selected from groups of animals with different genotypes in non physiological homeostasis and includes at least one of DNA, RNA, proteins, metabolites and biomarkers.

23. A method as claimed in claim 19, wherein the target dataset includes data selected from groups of animals with different genotypes in non physiological homeostasis and includes at least one of DNA, RNA, proteins, metabolites and biomarkers.

24. A method of identifying a pharmacological product for animals, the animals being selectively companion animals and selectively being a canine comprising:

(a) using a “

reference”

dataset containing functional genomic profiles of biological samples of the genotypes of different animals of the species, the different animals being healthy animals;

(b) selecting a “

target group”

dataset containing the functional genomic profile of biological samples of the genotypes of different animals, the animals being unhealthy animals;

(c) using a “

pharmacological product”

dataset comprising different effects of pharmacological product on functional genomic profiles of the different animals of different genotypes from those of the target group (b), the different genotypes being differently responsive to the same pharmacological product;

(d) having the reference group or target group include the animals; and

(e) relating at least one of the “

reference”

or “

target group”

datasets with the pharmacological product dataset to select a biologically active formulation for the selected animal genotypes to prevent, treat, control, or modulate a state of physiological homeostasis or pathophysiological condition of the animal in the reference dataset or target group.