Clarifying the Relationship between Gastrointestinal Bacteria and Disease in the Japanese Population

Clarifying the Relationship between Gastrointestinal Bacteria and Disease in the Japanese Population - Clarifying the Relationship between Gastrointestinal Bacteria and Disease in the Japanese Population

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000050674

Enrollment

5000

Registered

2023-03-31

Start date

2023-03-25

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

health checkup recipient

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients aged 20 years or older who visited Clinic MedCity21 during the period from after the head of the research institution gave permission for the research to be conducted to March 31, 2027.

Exclusion criteria

Exclusion criteria: Patients who are deemed ineligible for participation in the study by the physician in charge Patients who do not consent to the use of the samples and information obtained in this study in the secondary use and reanalysis research that is planned to be conducted in the future.

Design outcomes

Primary

Measure	Time frame
Evaluation of salivary and fecal flora of medical checkup recipient	—

Secondary

Measure	Time frame
To classify the examinees according to the diseases diagnosed in their current medical history, and to determine whether the salivary and fecal flora are characteristic of each disease. We will determine whether there is a relationship between the salivary and fecal flora and the condition of the oral cavity as observed by intraoral photographs. We will also perform machine learning on the characteristics of intraoral photographs and bacterial flora, and analyze them using artificial intelligence. We will classify the examinees by the interview items, and clarify whether the salivary flora and fecal flora are characteristic of each item.	—

Measure

Time frame

To classify the examinees according to the diseases diagnosed in their current medical history, and to determine whether the salivary and fecal flora are characteristic of each disease. We will determine whether there is a relationship between the salivary and fecal flora and the condition of the oral cavity as observed by intraoral photographs. We will also perform machine learning on the characteristics of intraoral photographs and bacterial flora, and analyze them using artificial intelligence. We will classify the examinees by the interview items, and clarify whether the salivary flora and fecal flora are characteristic of each item.

—

Countries

Japan

Contacts

Public ContactYuji Nadatani

Osaka Metropolitan University Department of Premier Preventive Medicine

dada@omu.ac.jp81-6-6645-3946

Outcome results