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Following a change to our organizational structure effective April 1, 2026, this division has been renamed from the "Database Center for Life Science, Joint Support-Center for Data Science Research" to the "Database Division for Life Science (DBCLS), BioData Science Initiative (BSI), National Institute of Genetics (NIG)". Where the former name still appears in the guidelines, please read it as the new name.

Research ID

hum0372-v1Release info

Latest

Research title

Elucidation of disease state by multi-layered omics analysis

Research overview

Aims
To elucidate the genetic predisposition to metabolic syndrome-related diseases such as diabetes and the genetic predisposition to reactivity and side effects of diabetes drugs in Japanese people, and to apply this to the prevention of diabetes and personalized medicine.
Methods
We profiled serum metabolites of persons with type 2 diabetes (T2D) with or without diabetic complications using a comprehensive non-targeted metabolomics approach with mass spectrometry. The abundance of the 364 serum metabolites was compared between the T2D patients with multiple complications (N = 141) and those without any complications (N = 159), then calculated the summary statistics.
Participants/materials
T2D
URL
N/A

Datasets

CartDataset IDType of dataPlatformsAccess criteriaDate published
JGAD000698the abundance of the 364 serum metabolites
  • Agilent 1100 isocratic HPLC pump
  • Agilent CE system equipped with an Agilent 6210 TOFMS
  • Agilent LC System equipped with an Agilent 6230 TOFMS
Controlled-access (Type I)2022-11-21
MTBKS213the summary statistics
  • Agilent 1100 isocratic HPLC pump
  • Agilent CE system equipped with an Agilent 6210 TOFMS
  • Agilent LC System equipped with an Agilent 6230 TOFMS
Unrestricted-access2022-11-02
MTBKS214the summary statistics
  • Agilent 1100 isocratic HPLC pump
  • Agilent CE system equipped with an Agilent 6210 TOFMS
  • Agilent LC System equipped with an Agilent 6230 TOFMS
Unrestricted-access2022-11-02

Data provider

Principal investigator
Toshimasa Yamauchi
Affiliation
Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo
Principal investigator
Takashi Kadowaki
Affiliation
Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo / Toranomon Hospital
Principal investigator
Yukinori Okada
Affiliation
Department of Statistical Genetics, Graduate School of Medicine, Osaka University

Research projects

NameURL
Social implementation of next-generation precision medicine from Japan based on comprehensive analysis of genetic and environmental factors of diabetes
N/A

Grants

NameTitleProject number
Platform Program for Promotion of Genome Medicine, Japan Agency for Medical Research and Development (AMED)
Realization of next-generation precision medicine from Japan based on comprehensive analysis of genetic and environmental factors of diabetes
  • JP20km0405202
Platform Program for Promotion of Genome Medicine, Japan Agency for Medical Research and Development (AMED)
Social implementation of next-generation precision medicine from Japan based on comprehensive analysis of genetic and environmental factors of diabetes
  • JP21tm0424218

Related publications

TitleDOIDataset ID
Identification of serum metabolome signatures associated with retinal and renal complications of type 2 diabetes
https://doi.org/10.1038/s43856-022-00231-3 (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.