NBDC Research ID: hum0398.v1
SUMMARY
Aims: Investigation of the relationship between the genetic background, gut microbiome, diet, and lifestyle in healthy Japanese.
Methods: Cohort survey
Participants/Materials: 59 participants (age 20-80)
URL: https://www.naro.go.jp/laboratory/brain/english/sip/sip2/index.html
Dataset ID | Type of Data | Criteria | Release Date |
---|---|---|---|
JGAS000681 |
Cohort survey for 59 participants (2020) 【Attributes】【Blood test】【Urinalysis】 【Body measurement】【Questionnaire】【Interview】 【Sleep diary】【Heart rate/brain wave during sleep】 |
Controlled-access (Type I) | 2024/04/01 |
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Data Summary
Dataset ID: JGAD000814 (6.3 MB)
Restrictions on data use: NBDC policy
List of Data Items | document_sukoyaka.tar.gz |
Participants | 59 healthy individuals (2020) |
Test items | year, age, sex, region, with/without discontinuation |
File Name | summer/winter: research.txt (4 KB / 4 KB) |
Participants | 59 healthy individuals (2020) |
Test items |
【Hematological】White blood cell count (×103/μl), Red blood cell count (×104/μl), Hemoglobin (g/dl), Hematocrit (%), Platelet count (×104/μl) 【Liver-related】GOT (IU/l), GPT (IU/l), γ-GTP (IU/l), ALP (IU/l), LDH (IU/l) 【Kidney-related】BUN (mg/dl), Serum creatinine (mg/dl), Uric acid (mg/dl) 【Blood lipids】Total cholesterol (mg/dl), Triglyceride (mg/dl), HDL cholesterol(mg/dl), LDL cholesterol (mg/dl) 【Blood sugar】Blood sugar (mg/dl), HbA1c (%: NGSP value) 【Hormone】Thyroid stimulating hormone (μIU/ml) 【Other chemical】Total protein (g/dl), Albumin (g/dl), Coline esterase (U/l), Sodium (mEq/l), Chlorine (mEq/l), Magnesium (mg/dl), Calcium (mg/dl), Iron (μg/dl) |
File Name | summer/winter: blood_test.txt (21 KB / 20 KB) |
Participants | 59 healthy individuals (2020) |
Test items | Glucose, Protein, Urobilinogen, Bilirubin, Ketone, pH, Occult blood, Serotonin metabolites (5-HIAA: mg/l) |
File Name | summer/winter: urinalysis.txt (4 KB / 4 KB) |
Participants | 59 healthy individuals (2020) |
Test items | Blood pressure (systolic and diastolic: mmHg), Heart rate (bpm), Height (cm), Waist circumference (cm), Weight (kg), BMI(kg/m2), Body fat percentage (%) |
File Name | summer/winter: physical_vital.txt (5 KB / 5 KB) |
Participants | 59 healthy individuals (2020) |
Test items |
questionnaire for education, occupation, family structure, past medical history, history of the present illness, stress/sleep, etc. questionnaire for the use of antibiotics, characteristics of feces |
File Name |
summer/winter: questionnaire.txt (105 KB / 84 KB) summer/questionnaire_antibiotic.csv (6 KB) |
Description File | document_sukoyaka.tar.gz |
Participants | 59 healthy individuals (2020) |
Test items | meal time before the examination, with/without blood donation, with/without pregnancy/breastfeeding |
File Name | summer/winter: interview.txt (4 KB / 4 KB) |
Participants | 59 healthy individuals (2020) |
Test items | questionnaire for physical condition before sleep, awakenings, physical condition after awakening, etc. |
File Name | summer/winter: diary_calc.txt (88 KB / 79 KB) |
【Heart rate/brain wave during sleep】
Participants | 59 healthy individuals (2020) |
Test items | Heart rate and brain wave data during sleep (90 items includes sleep duration, number of awakenings, average heart rate) |
File Name | SIP2B観察研究(心拍と脳波)_2020_summer/winter.csv (58 KB / 54 KB) |
Description File | document_sukoyaka.tar.gz |
Type of Data | Participants | File Name |
---|---|---|
Abundance data of KEGG Orthology for short-read shotgun metagenomic sequencing data of feces |
59 healthy individuals (2020) | metagenomics/summary_functional_ko_abundances_Nagasaki.tsv (3,400 KB) |
Species-level abundance data computed by Kraken2 for short-read shotgun metagenomic sequencing data of feces |
59 healthy individuals (2020) | metataxonomics/summary_taxonomic_species_abundances_Nagasaki.tsv (1,900 KB) |
Genus-level abundance data computed by Kraken2 for short-read shotgun metagenomic sequencing data of feces |
59 healthy individuals (2020) | metataxonomics/summary_taxonomic_genus_abundances_Nagasaki.tsv (415 KB) |
Family-level abundance data computed by Kraken2 for short-read shotgun metagenomic sequencing data of feces |
59 healthy individuals (2020) | metataxonomics/summary_taxonomic_family_abundances_Nagasaki.tsv (92 KB) |
Phylum-level abundance data computed by Kraken2 for short-read shotgun metagenomic sequencing data of feces |
59 healthy individuals (2020) | metataxonomics/summary_taxonomic_phylum_abundances_Nagasaki.tsv (13 KB)
|
Description File | - | document_sukoyaka.tar.gz |
Participants | 59 healthy individuals (2020) |
Test items | Intakes of 57 nutrients includes total protein and sodium, and intakes of 148 food groups includes rice and bean curd |
File Name |
栄養素摂取量_食品群別摂取量/SIP2020夏_栄養素摂取量_食品群別摂取量.txt(55 KB) 栄養素摂取量_食品群別摂取量/SIP2020冬_栄養素摂取量_食品群別摂取量.txt(50 KB) |
Description File |
document_sukoyaka.tar.gz |
【Food frequency questionnaire】
Participants | 59 healthy individuals (2020) |
Test items | 705-item food frequency questionnaire includes beef and octopus, etc |
File Name | 2020_winter/ffq_all.txt(238 KB) |
Description File | document_sukoyaka.tar.gz |
DATA PROVIDER
Principal Investigator: Kazunari Tanaka
Affiliation: Regional Partnership Center, University of Nagasaki
URL: https://www.naro.go.jp/laboratory/brain/english/sip/sip2/index.html
Project / Group Name: Cross-ministerial Strategic Innovation Promotion Program(SIP) Technologies for smart bio-industry and agriculture "Contribution to healthy longevity based on the health system through food"
Funds / Grants (Research Project Number):
Name | Title | Project Number |
---|---|---|
Cross-ministerial Strategic Innovation Promotion Program (SIP) Technologies for smart bio-industry and agriculture | Contribution to healthy longevity based on the health system through food | - |
PUBLICATIONS
Title | DOI | Dataset ID | |
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1 | |||
2 |
USRES (Controlled-access Data)
Principal Investigator | Affiliation | Country/Region | Research Title | Data in Use (Dataset ID) | Period of Data Use |
---|---|---|---|---|---|
Kenta Fujiwara | R&D Laboratories, Self-Medication, Taisho Pharmaceutica | Japan | Investigation of Health Conditions Using SIP Observational Study Data | JGAD000814 | 2024/03/29-2025/03/31 |
Yuki Kawaharada | Tech & Biz Development Div., Chitose Laboratory Corporation | Japan | Integrated Data Analysis and Demonstration of Data Integration Using Datasets from Comprehensive Observational Studies Conducted by Multiple Institutions | JGAD000814 | 2024/07/11-2028/03/31 |
Kazuhiro Miyaji | Health Care & Nutritional Science Institute, Morinaga Milk | Japan | Cross-sectional study of the relationship between health status, nutritional status, and lifestyle habits such as diet, sleep, and stress status in Japanese adults | JGAD000814 | 2024/07/11-2028/03/31 |
Mamoru Kimura | R&D Division, Kewpie Corporation | Japan | Integrated Data Analysis and Demonstration of Data Integration Using Datasets from Comprehensive Observational Studies Conducted by Multiple Institutions | JGAD000814 | 2024/10/15-2028/03/31 |
Tomohiko Nishijima | Mechanism-based Research Laboratory, Ezaki Glico Co., Ltd. | Japan | Development of integrated data analysis and data linkage techniques using data from multi-institutional exhaustive research study trials. | JGAD000814 | 2024/10/22-2028/03/31 |