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 IDType of DataCriteriaRelease Date
JGAS000681

Cohort survey for 59 participants (2020)

【Attributes】【Blood test】【Urinalysis】

【Body measurement】【Questionnaire】【Interview】

【Sleep diary】【Heart rate/brain wave during sleep】

【Microbiome composition】【Nutrient intake】

【Food frequency questionnaire】

 Controlled-access (Type I) 2024/04/01

*Release Note

*Data users need to apply an application for Using NBDC Human Data to reach the Controlled-access Data. Learn more

 

Data Summary

Cohort survey

Dataset ID: JGAD000814 (6.3 MB)

Restrictions on data use: NBDC policy

 
List of Data Items document_sukoyaka.tar.gz

 

【Attributes】
Participants 59 healthy individuals (2020)
Test items year, age, sex, region, with/without discontinuation
File Name summer/winter: research.txt (4 KB / 4 KB)

 

【Blood test】
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)

 

【Urinalysis】
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)

 

【Body measurement】
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)

 

【Questionnaire】
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

 

【Interview】
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)

 

【Sleep diary】
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

 

【Microbiome composition】
Type of DataParticipantsFile 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

 

【Nutrient intake】
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):

NameTitleProject 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

TitleDOIDataset ID
1
2

 

USRES (Controlled-access Data)

Principal InvestigatorAffiliationCountry/RegionResearch TitleData in Use (Dataset ID)Period of Data Use