JP-7857505-B1 - Disease diagnosis or prediction method, insurance premium calculation method, and disease prediction system

JP7857505B1JP 7857505 B1JP7857505 B1JP 7857505B1JP-7857505-B1

Abstract

The objective is to provide a method for predicting or determining animal diseases, a method for calculating insurance premiums, and an animal disease prediction system. The method for determining or predicting the health status of an animal is characterized by comprising a step of determining the health status of an animal or predicting its future health status using information on whether or not the intestinal microbiota of an animal other than a human contains predetermined bacteria such as Streptococcus constellatus, Streptococcus anginosus, and Slackia exigua.

Inventors

安宅快
ムルザバエフマルセル
島（加賀）綾香
▲高▼橋祐幸
坪内千春

Assignees

アニコムホールディングス株式会社

Dates

Publication Date: 20260512
Application Date: 20250718
Priority Date: 20240718

Claims (20)

In the gut microbiota of animals other than humans, (A) Streptococcus constellatus (B) Streptococcus anginosus (C) Slackia_A exigua (D) Desulfovibrio R446353 (E) Peptostreptococcus canis (F) Bulleidia moorei, (G) Actinomyces timonensis (H) Pauljensenia cardiffensis (I) Nanoperiomorbus, (J) Fusobacterium C simiae (K) Corynebacterium canis (L) Bifidobacterium dentium (M) Parvimonas micra (N) Nanosynbacter (O) Flexilinea sp902786265 (P) CAJPSE01 sp003860125 , (Q) Fusobacterium Crussii (R) Actinomyces weissii (S) Fusobacterium C canifelinum, and, (T) Saccharimonas aalborgensis The process includes determining the health status of an animal or predicting its future health status using information regarding whether or not it contains one or more bacteria selected from a group consisting of the following: If, in the above process, one or more bacteria selected from the above group are present, it is determined that the animal's health is impaired or at high risk of being impaired in the future. A method for determining or predicting the health status of an animal, wherein the animal is a dog or a cat.
The step of determining the health status of the animal or predicting its future health status is, (1) A step of determining whether an animal is suffering from a disease or predicting whether it will suffer from a disease in the future, wherein if the intestinal flora of the animal contains one or more bacteria selected from the group, it is determined that the animal is suffering from a disease or has a high risk of suffering from a disease in the future. (2) A step of determining whether the mental state of an animal is good or predicting whether the mental state of an animal will be good in the future, wherein if the intestinal microbiota of the animal contains one or more bacteria selected from the group, it is determined that the mental state of the animal is not good or that there is a high risk that the mental state of the animal will not be good in the future. (3) A step of determining whether the condition of the animal's coat is good or predicting whether the condition of the animal's coat will be good in the future, wherein if the animal's intestinal flora contains one or more bacteria selected from the group, it is determined that the condition of the animal's coat is not good or there is a high risk that the condition of the animal's coat will not be good in the future. Or, (4) A step of determining whether an animal's breath odor is good or predicting whether an animal's breath odor will be good in the future, wherein if the animal's intestinal flora contains one or more bacteria selected from the group, it is determined that the animal's breath odor is not good or that there is a high risk that the animal's breath odor will not be good in the future. A method for determining or predicting the health status of an animal according to claim 1.
The method for determining or predicting the health status of an animal according to claim 2, wherein the step of determining the health status of the animal or predicting its future health status is a step of determining whether the animal is suffering from a disease or predicting whether it will suffer from a disease in the future, and the disease is periodontal disease, valvular heart disease, liver disease, biliary tract disease, pancreatic disease, kidney disease, or cancer.
The method for determining or predicting the health status of an animal according to claim 2, wherein the step of determining the health status of the animal or predicting its future health status is a step of determining whether the animal's mental state is good or predicting whether the animal's mental state will be good in the future, and whether the animal's mental state is good is whether the animal is timid or not.
A method for determining or predicting the health status of an animal according to any one of claims 1 to 4, wherein the intestinal microbiota of the animal, excluding humans, is derived from a fecal sample.
(A) Streptococcus constellatus (B) Streptococcus anginosus (C) Slackia_A exigua (D) Desulfovibrio R446353 (E) Peptostreptococcus canis (F) Bulleidia moorei, (G) Actinomyces timonensis (H) Pauljensenia cardiffensis (I) Nanoperiomorbus, (J) Fusobacterium C simiae (K) Corynebacterium canis (L) Bifidobacterium dentium (M) Parvimonas micra (N) Nanosynbacter (O) Flexilinea sp902786265 (P) CAJPSE01 sp003860125 , (Q) Fusobacterium Crussii (R) Actinomyces weissii (S) Fusobacterium C canifelinum, and, (T) Saccharimonas aalborgensis A method for determining or predicting the health status of an animal according to claim 1, wherein if the animal possesses two or more of the following types of bacteria, it is determined that the animal's health is impaired or at high risk of being impaired in the future.
In the gut microbiota of animals other than humans, (A) Streptococcus constellatus, (B) Streptococcus anginosus (C) Slackia_A exigua (D) Desulfovibrio R446353 (E) Peptostreptococcus canis (F) Bulleidia moorei, (G) Actinomyces timonensis (H) Pauljensenia cardiffensis (I) Nanoperiomorbus, (J) Fusobacterium C simiae (K) Corynebacterium canis (L) Bifidobacterium dentium (M) Parvimonas micra (N) Nanosynbacter (O) Flexilinea sp902786265 (P) CAJPSE01 sp003860125 , (Q) Fusobacterium Crussii (R) Actinomyces weissii (S) Fusobacterium C canifelinum, and, (T) Saccharimonas aalborgensis The process includes calculating animal insurance premiums using information on whether or not one or more bacteria selected from a group consisting of the following are present. A method for calculating insurance premiums for animals, wherein the animal is a dog or a cat.
A means of receiving data on the gut microbiota of animals other than humans, Among the aforementioned intestinal microbiota, (A) Streptococcus constellatus, (B) Streptococcus anginosus (C) Slackia_A exigua (D) Desulfovibrio R446353 (E) Peptostreptococcus canis (F) Bulleidia moorei, (G) Actinomyces timonensis (H) Pauljensenia cardiffensis (I) Nanoperiomorbus, (J) Fusobacterium C simiae (K) Corynebacterium canis (L) Bifidobacterium dentium (M) Parvimonas micra (N) Nanosynbacter (O) Flexilinea sp902786265 (P) CAJPSE01 sp003860125 , (Q) Fusobacterium Crussii (R) Actinomyces weissii (S) Fusobacterium C canifelinum, and, (T) Saccharimonas aalborgensis A determination means for determining or predicting the health status or future health status of an animal using information on whether or not it contains one or more types of bacteria selected from a group consisting of the following: Equipped with, The aforementioned determination means determines that if one or more bacteria selected from the aforementioned group are present, the animal's health is impaired or at high risk of being impaired in the future. The aforementioned animal is either a dog or a cat. A system for determining or predicting the health status of animals.
A determination means for determining or predicting the health status or future health status of the animal, (1) A means for determining whether an animal is suffering from a disease or predicting whether it will suffer from a disease in the future, wherein if the intestinal flora of the animal contains one or more bacteria selected from the group, the means for determining that the animal is suffering from a disease or is at high risk of suffering from a disease in the future. (2) A means for determining whether an animal's mental state is good or predicting whether an animal's mental state will be good in the future, and for determining that if the animal's intestinal microbiota contains one or more bacteria selected from the group, the animal's mental state is not good or there is a high risk that the animal's mental state will not be good in the future. (3) A means for determining whether the condition of an animal's coat is good or predicting whether the condition of an animal's coat will be good in the future, and if the animal's intestinal flora contains one or more bacteria selected from the group, a means for determining that the condition of the animal's coat is not good or that there is a high risk that the condition of the animal's coat will not be good in the future, Or, (4) A means for determining whether an animal's breath odor is good or predicting whether an animal's breath odor will be good in the future, and for determining that if the animal's intestinal flora contains one or more bacteria selected from the group, the animal's breath odor is not good or there is a high risk that the animal's breath odor will not be good in the future. The system for determining or predicting the health status of an animal according to claim 8.
The animal health status determination or prediction system according to claim 9, wherein the determination means for determining or predicting the health status or future health status of the animal is a means for determining whether the animal is suffering from a disease or predicting whether it will suffer from a disease in the future, and the disease is periodontal disease, valvular heart disease, liver disease, biliary tract disease, pancreatic disease, kidney disease, or cancer.
The animal health status determination or prediction system according to claim 9, wherein the determination means for determining or predicting the health status or future health status of the animal is a means for determining whether the animal's mental state is good or predicting whether the animal's mental state will be good in the future, and whether the animal's mental state is good is whether the animal is timid or not.
A means of receiving data on the gut microbiota of animals other than humans, Among the aforementioned intestinal microbiota, (A) Streptococcus constellatus, (B) Streptococcus anginosus (C) Slackia_A exigua (D) Desulfovibrio R446353 (E) Peptostreptococcus canis (F) Bulleidia moorei, (G) Actinomyces timonensis (H) Pauljensenia cardiffensis (I) Nanoperiomorbus, (J) Fusobacterium C simiae (K) Corynebacterium canis (L) Bifidobacterium dentium (M) Parvimonas micra (N) Nanosynbacter (O) Flexilinea sp902786265 (P) CAJPSE01 sp003860125 , (Q) Fusobacterium Crussii (R) Actinomyces weissii (S) Fusobacterium C canifelinum, and, (T) Saccharimonas aalborgensis An insurance premium calculation means that calculates the insurance premium for the animal using information on whether or not it contains one or more types of bacteria selected from a group consisting of the following, Equipped with, An insurance premium calculation system in which the aforementioned animal is a dog or a cat.
In the gut microbiota of animals other than humans, (A) Streptococcus constellatus, (B) Streptococcus anginosus (C) Slackia_A exigua (D) Desulfovibrio R446353 (E) Peptostreptococcus canis (F) Bulleidia moorei, (G) Actinomyces timonensis (H) Pauljensenia cardiffensis (I) Nanoperiomorbus, (J) Fusobacterium C simiae (K) Corynebacterium canis (L) Bifidobacterium dentium (M) Parvimonas micra (N) Nanosynbacter (O) Flexilinea sp902786265 (P) CAJPSE01 sp003860125 , (Q) Fusobacterium Crussii (R) Actinomyces weissii (S) Fusobacterium C canifelinum, and, (T) Saccharimonas aalborgensis The process includes predicting whether the animal will die within a predetermined period of time, using information regarding whether or not one or more bacteria selected from a group consisting of the following are present. In the above process, if one or more bacteria selected from the above group are present, it is determined that the animal has a high risk of dying within a predetermined period. A method for predicting the death of an animal, characterized in that the animal is a dog or a cat.
The method for predicting the death of an animal according to claim 13, wherein the animal is suffering from a chronic disease.
A means of receiving data on the gut microbiota of animals other than humans, Among the aforementioned intestinal microbiota, (A) Streptococcus constellatus, (B) Streptococcus anginosus (C) Slackia_A exigua (D) Desulfovibrio R446353 (E) Peptostreptococcus canis (F) Bulleidia moorei, (G) Actinomyces timonensis (H) Pauljensenia cardiffensis (I) Nanoperiomorbus, (J) Fusobacterium C simiae (K) Corynebacterium canis (L) Bifidobacterium dentium (M) Parvimonas micra (N) Nanosynbacter (O) Flexilinea sp902786265 (P) CAJPSE01 sp003860125 , (Q) Fusobacterium Crussii (R) Actinomyces weissii (S) Fusobacterium C canifelinum, and, (T) Saccharimonas aalborgensis A prediction means for determining or predicting whether an animal will die within a predetermined period of time, using information on whether or not it contains one or more types of bacteria selected from a group consisting of the following: Equipped with, The prediction means determines that if one or more bacteria selected from the group are present, the animal's health is impaired or at high risk of being impaired in the future. A mortality prediction system in which the aforementioned animal is a dog or a cat.
The mortality prediction system according to claim 15, wherein the animal is suffering from a chronic disease.
A method for determining or predicting the health status of an animal, characterized by comprising the step of determining the health status of an animal or predicting its future health status using information on whether or not periodontal disease-related bacteria are present in the gut microbiota of an animal other than a human, The aforementioned periodontal disease-related bacteria are those for which the odds ratio expressed by the following formula, between the detection rate in animals suffering from periodontal disease and the detection rate in the same species of animals not suffering from periodontal disease, is greater than 1. The aforementioned animal is a dog or a cat. A method for determining or predicting the health status of animals. Odds ratio = Detection rate in animals with periodontal disease / Detection rate in the same species of animals without periodontal disease
The method for determining or predicting the health status of an animal according to claim 17, wherein the detection rate in animals suffering from periodontal disease is calculated by examining the bacterial composition of the intestinal microbiota of 100 or more animals suffering from periodontal disease, and the detection rate in the same species of animals not suffering from periodontal disease is calculated by examining the bacterial composition of the intestinal microbiota of 100 or more animals not suffering from periodontal disease.
The method for determining or predicting the health status of an animal according to claim 17, wherein the steps for determining the health status of the animal or predicting its future health status are: determining whether the animal is suffering from a disease or predicting whether it will suffer from a disease in the future; determining whether the animal's mental state is good or predicting whether the animal's mental state will be good in the future; determining whether the animal's coat is in good condition or predicting whether the animal's coat will be in good condition in the future; or determining whether the animal's bad breath is good or predicting whether the animal's bad breath will be good in the future.
A means of receiving data on the gut microbiota of animals other than humans, Among the aforementioned intestinal microbiota, (A) Streptococcus constellatus, (B) Streptococcus anginosus (C) Slackia_A exigua (D) Desulfovibrio R446353 (E) Peptostreptococcus canis (F) Bulleidia moorei, (G) Actinomyces timonensis (H) Pauljensenia cardiffensis (I) Nanoperiomorbus, (J) Fusobacterium C simiae (K) Corynebacterium canis (L) Bifidobacterium dentium (M) Parvimonas micra (N) Nanosynbacter (O) Flexilinea sp902786265 (P) CAJPSE01 sp003860125 , (Q) Fusobacterium Crussii (R) Actinomyces weissii (S) Fusobacterium C canifelinum, and, (T) Saccharimonas aalborgensis An alert mechanism that issues an alert to the user prompting them to perform oral care for their animal if one or more bacteria selected from the group consisting of the following are present, Equipped with, A disease prevention system for animals, wherein the animal is a dog or a cat.

Description

The present invention relates to a method for determining or predicting a disease, a method for calculating insurance premiums, and a disease prediction system. More specifically, it relates to a method and system for determining or predicting whether an animal is currently suffering from or will suffer from a disease such as periodontal disease, based on data concerning the animal's intestinal microbiota, particularly information regarding the presence or absence of specific bacteria, as well as a method and system for predicting the mortality of animals with chronic kidney disease. Pets such as dogs, cats, and rabbits, as well as livestock such as cows and pigs, are irreplaceable to humans. In recent years, while the average lifespan of animals kept by humans has increased significantly, the number of animals suffering from various diseases during their lives has also increased, leading to a problem of rising medical expenses borne by pet owners. Maintaining animal health requires careful management of their physical condition through daily diet and exercise, as well as prompt action against any health problems. However, since animals cannot express their discomfort in words, owners often only become aware of an animal's illness when symptoms progress and some externally observable sign appears. Among diseases, periodontal disease, for example, is increasingly recognized as a major problem not only in humans but also in animals. Periodontal disease can lead to tooth loss as it progresses, affecting eating and potentially causing a significant loss of quality of life. Furthermore, while early-stage periodontal disease is treatable, it becomes more difficult to treat as it progresses. Thus, there is a strong need for early detection of periodontal disease, but currently, there are problems in determining whether or not an animal has periodontal disease. In other words, whether or not an animal such as a pet has periodontal disease requires imaging diagnosis, but imaging diagnoses such as dental X-rays and CT scans require general anesthesia, making them complicated and burdensome for the animal. Therefore, veterinarians perform a visual inspection of the oral cavity and make a simple decision on whether or not to perform further imaging diagnosis and whether or not to provide treatment based on the findings with the naked eye. However, while veterinarians rely on visual inspection to assess tartar, gums, bite, and tooth alignment, there are limitations to visual diagnosis by veterinarians. For example, even animals that appear not to have periodontal disease at first glance, such as those with little tartar, may be found to have root resorption and be suffering from periodontal disease upon imaging studies. On the other hand, animals are known to suffer from chronic diseases with symptoms that last for a long time. For example, chronic kidney disease (chronic renal failure) is diagnosed when renal failure, a condition in which the kidneys are damaged and no longer function properly, persists for a long period of time. Severe cases of chronic kidney disease can be fatal. The average life expectancy of dogs diagnosed with chronic kidney disease has been reported to be, for example, over 400 days in the early stage (stage 1), 200 to 400 days in the mild stage (stage 2), 110 to 200 days in the moderate stage (stage 3), and 14 to 80 days in the terminal stage (stage 4), but there are individual differences and it varies from case to case. Other chronic diseases include heart disease, diabetes, and autoimmune diseases. If the severity, mortality rate, and prognosis of such chronic diseases can be predicted in advance, it is expected that appropriate treatments such as regenerative medicine can be selected. Therefore, there is a need for a simple method to determine whether an animal is suffering from periodontal disease or other illnesses, whether it is likely to develop such diseases in the future, and what the prognosis is for animals that are suffering from such diseases. Patent Document 1 discloses an intestinal microbiota adjustment or improvement composition that effectively adjusts or improves the intestinal microbiota by increasing the number of Bacteroidetes bacteria and decreasing the number of Firmicutes bacteria in the intestinal microbiota. However, it does not disclose a method for determining or predicting whether an animal is suffering from a disease such as periodontal disease based on data regarding the animal's intestinal microbiota. International Publication 2017/094892 Brochure This is a schematic diagram of the insurance premium calculation system.This flowchart illustrates an example of a disease prediction method using a disease prediction system.This is a graph showing the results of the example.This table shows the results of the examples.This is a graph showing the results of the example.This is a graph showing the results of the example.This is a graph showing the results of the exampl