Abstract: Managing and treating elevated OS biomarkers in mammals such as companion animals with at least one of the supplements alpha-lipoic acid, carnitine, co-enzyme Q-10, ginger, green tea, licorice, milk thistle, garlic, honey. resveratrol, soybeans, tomatoes, turmeric, vitamin D, vitamin E, or selenium. Other compounds are Zinc, Vitamin E, Vitamin C, Quercetin, L-glutamine and Robuvit. Diagnosing an oxidative stress (OS) in a mammal detects an OS biomarker, selectively isoprostane and other antioxidant biomarkers such as HODE, microRNAs, TAC, GSH, MDA, and TNF-alpha. The sample can be saliva.

Abstract: Managing and treating elevated OS biomarkers in mammals such as companion animals with at least one of the supplements alpha-lipoic acid, carnitine, co-enzyme Q-10, ginger, green tea, licorice, milk thistle, garlic, honey. resveratrol, soybeans, tomatoes, turmeric, vitamin D, vitamin E or selenium. Diagnosing an oxidative stress (OS) in a mammal comprises collecting a sample; screening the sample to detect the presence of an OS biomarker, selectively isoprostane and other antioxidants such as HODE microRNAs. TAC: GSH, MDA, and TNF-alpha. The sample can be saliva.

Abstract: Diagnosing an oxidative stress (OS) in companion animals comprises screening a bodily fluid sample to detect the presence of an OS biomarker, selectively isoprostane and antioxidants, HODE, microRNAs, TAC, GSH, MDA, and TNF-alpha. The sample can be saliva.

Abstract: Diagnosing an oxidative stress (OS) in companion animals comprises screening a bodily fluid sample to detect the presence of an OS biomarker, selectively isoprostane and antioxidants, HODE, microRNAs, TAC, GSH, MDA, and TNF-alpha. The sample can be saliva.

Abstract: A diagnosis of the health of an animal is obtained through a combination of computerized data and human interpretation. Data relates to the physical characteristics of the animal, and includes data obtained from a physical inspection of the animal. A blood or other fluid sample is used to obtain a computer generated laboratory analysis. This is reported through an internet network to the clinical pathologist. The clinical pathologist has the data relating to the physical characteristics, and thereby makes a diagnosis of the animal health. A drop-down menu on a computer screen provides supplemental reports to support the diagnosis. This can be enhanced by further input from the pathologist through keyboard entry into the computer to obtain an integrated computer report having the laboratory analysis, supplemental report, and selectively an enhanced report. The integrated report is electronically communicated to a client.

Abstract: Selecting the nutrition for an animal or animal group comprises performing a diagnostic test to obtain first data. A data base that comprises first data relating a genomic analysis of a bodily fluid or tissue sample from an animal to a physiological condition and optionally the genotype of the animal is accessed. A data base that comprises second data relating to effects of nutrition on genomic analysis is accessed. The first and second data are processed with input data defining the physiological condition and optionally the genotype of the animal or animal group to derive the nutrition for an animal or animal group.

Abstract: Determining a nutritional diet for a canine or feline companion animal comprises employing a computer; at least one electronic database coupled to the computer; and at least one software routine executing on the computer. First data comprises a relationship between expression data from the genomic map and a physiological condition of the animal, and second data comprises an effect of nutrition on the expression data from the genomic map. Based on said first and second data, a nutritional diet for the canine or feline companion animal is determined.

Abstract: Determining a nutritional diet for a canine or feline companion animal comprises employing a computer; at least one electronic database coupled to the computer; and at least one software routine executing on the computer. First data comprises a relationship between expression data from the genomic map and a physiological condition of the animal, and second data comprises an effect of nutrition on the expression data from the genomic map. Based on said first and second data, a nutritional diet for the canine or feline companion animal is determined.

Abstract: Selecting the nutrition for an animal or animal group comprises performing a diagnostic test to obtain first data. A data base that comprises first data relating a genomic analysis of a bodily fluid or tissue sample from an animal to a physiological condition and optionally the genotype of the animal is accessed. A data base that comprises second data relating to effects of nutrition on genomic analysis is accessed. The first and second data are processed with input data defining the physiological condition and optionally the genotype of the animal or animal group to derive the nutrition for an animal or animal group.

Abstract: A non-radioisotopic method of detecting thyroid analytes comprising detecting T3, Free T3, T4, Free T4 and thyroglobulin autoantibody in a sample of a non-human species. Each one of these analytes in an assay profile includes non-radio isotopic measurement of T3, Free T3, T4, Free T4 and thyroglobulin autoantibody in the sample from the non-human species. A non-radioisotopic method detects T3AA and T4AA thyroid autoantibodies in a sample from a non-human species such as the canine species. Antibodies and autoantibodies are bound, and a precipitated or bound antigen-antigen or antibody-autoantibody complex is formed. The supernatant or surrounding fluid of the bound or precipitated antigen-antigen or antibody-autoantibody complex is then removed. The thyroid activity of the bound complex, precipitate, supernatant or surrounding fluid is measured. The thyroid analyte is at least one of T3, Free T3, T4 or Free T4.

Abstract: A non-radioisotopic method detects T3AA and T4AA thyroid autoantibodies in a sample from a non-human species such as the canine species. Antibodies and autoantibodies are bound, and a precipitated or bound antigen-antibody or antigen-autoantibody complex is formed. The supernatant or surrounding fluid of the bound or precipitated antigen-antibody or antigen-autoantibody complex is then removed. The thyroid activity of the bound complex, precipitate, supernatant or surrounding fluid is measured. The thyroid analyte is at least one of T3, Free T3, T4 or Free T4.

Abstract: A non-radioisotopic method of detecting thyroid analytes comprising detecting T3, Free T3, T4, Free T4 and thyroglobulin autoantibody in a sample of a non-human species. Each one of these analytes in an assay profile includes non-radio isotopic measurement of T3, Free T3, T4, Free T4 and thyroglobulin autoantibody in the sample from the non-human species. A non-radioisotopic method detects T3AA and T4AA thyroid autoantibodies in a sample from a non-human species such as the canine species. A non-radioisotopic method detects Free T4 in a sample of a non-human species.

Abstract: A non-radioisotopic method of detecting thyroid analytes comprising detecting T3, Free T3, T4, Free T4 and thyroglobulin autoantibody in a sample of a non-human species. Each one of these analytes in an assay profile includes non-radio isotopic measurement of T3, Free T3, T4, Free T4 and thyroglobulin autoantibody in the sample from the non-human species. A non-radioisotopic method detects T3AA and T4AA thyroid autoantibodies in a sample from a non-human species such as the canine species. Antibodies and autoantibodies are bound, and a precipitated or bound antigen-antigen or antibody—autoantibody complex is formed. The supernatant or surrounding fluid of the bound or precipitated antigen-antigen or antibody-autoantibody complex is then removed. The thyroid activity of the bound complex, precipitate, supernatant or surrounding fluid is measured. The thyroid analyte is at least one of T3, Free T3, T4 or Free T4.

Abstract: A physical blood sample of animal is sent to a satellite laboratory facility. The blood sample is pre-processed into sub-samples of the sample and the sub-samples are coded. The coded blood sub-samples are physically carried to the main laboratory for analysis. The satellite facility electronically inputs a request for a laboratory analysis by a main laboratory. The request is electronically transmitted to the main laboratory, and the main laboratory coordinates the electronically received input from the satellite facility with the physical blood sub-samples. A computer report of the analysis from the laboratory is obtained for the satellite facility. A clinical pathologist with data of physical characteristics of the animal makes a diagnosis. A menu on a computer permits the generation of a supplemental report to support the diagnosis. An integrated computer report having the laboratory analysis, supplemental report, and a pathologist-enhanced report is electronically communicated to the client.

Abstract: A diagnosis of the health of an animal is obtained through a combination of computerized data and human interpretation. Data relates to the physical characteristics of the animal, and includes data obtained from a physical inspection of the animal. A blood or other fluid sample is used to obtain a computer generated laboratory analysis. This is reported through an internet network to the clinical pathologist. The clinical pathologist has the data relating to the physical characteristics, and thereby makes a diagnosis of the animal health. A drop-down menu on a computer screen provides supplemental reports to support the diagnosis. This can be enhanced by further input from the pathologist through keyboard entry into the computer to obtain an integrated computer report having the laboratory analysis, supplemental report, and selectively an enhanced report. The integrated report is electronically communicated to a client.

Abstract: A system, method, and apparatus is provided for computerized management of the databases relating to phenotypic health assessment and genomic mapping and genetic screening of animals. Multiple remote users can access a computer network connected with a central database processing resource for managing the data There is appropriate security and payment of appropriate fees for accessing and retrieving data Users may input data relating to animal health, lifespan, and genetic background, and obtain reports relating to phenotypic health assessment of a particular animal subject or animal group, and genotypic characteristics of a particular subject or animal group to which this subject belongs. The central computer database processing resource stores phenotypic data and genotypic data relating to animals and analyzes their relationship according to predetermined criteria. The input of data and reporting of data is preferably electronic, or through fax or voice communication.

Abstract: Dynamic management of the health care, nutrition and well-being of pet animal, such as a dogs and cats. Data relating to the species of the animal, a selected group of the species, and the animal, including diagnostic laboratory test data of the animal are related by a computer. A management regimen for the animal is based on this. Updating the data picks up drifts in different populations of the animals, groups and species over time to enhance the management.

Abstract: A system, method, and apparatus is provided for computerized management of the databases relating to phenotypic health assessment and genomic mapping and genetic screening of animals. Multiple remote users can access a computer network connected with a central database processing resource for managing the data. There is appropriate security and payment of appropriate fees for accessing and retrieving data. Users may input data relating to animal health, lifespan, and genetic background, and obtain reports relating to phenotypic health assessment of a particular animal subject or animal group, and genotypic characteristics of a particular subject or animal group to which this subject belongs. The central computer database processing resource stores phenotypic data and genotypic data relating to animals and analyzes their relationship according to predetermined criteria. The input of data and reporting of data is preferably electronic, or through fax or voice communication.

Abstract: Dynamic management of the health care, nutrition and well-being of pet animal, such as a dogs and cats. Data relating to the species of the animal, a selected group of the species, and the animal, including diagnostic laboratory test data of the animal are related by a computer. A management regimen for the animal is based on this. Updating the data picks up drifts in different populations of the animals, groups and species over time to enhance the management.