{"id":"hum0372","version":1,"url":"https://humandbs.dbcls.jp/research/hum0372/v1","datePublished":"2022-11-22","versions":[{"version":1,"datePublished":"2022-11-22"}],"title":{"ja":"多層的オミクス解析による疾患病態の解明 / メタボリック・シンドローム関連疾患における個別化医療の実現","en":"Elucidation of disease state by multi-layered omics analysis"},"summary":{"aims":{"ja":"日本人における、糖尿病等メタボリック・シンドローム関連疾患の遺伝素因や、糖尿病治療薬などの反応性・副作用の遺伝素因を解明することで、糖尿病の発症予防や個別化医療への応用を図り、メタボリック・シンドローム関連疾患患者やその合併症の増加抑制に寄与することを目的とする。","en":"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":{"ja":"2型糖尿病症例の血清代謝物を、質量分析により包括的なノンターゲットメタボロミクスアプローチにて測定した。複数の合併症がある2型糖尿病症例（n = 141）および、合併症がない2型糖尿病症例（n = 159）間において364の血清代謝物の存在量を比較し、要約統計量を算出した。","en":"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."},"targets":{"ja":"2型糖尿病","en":"T2D"},"url":{"ja":null,"en":null}},"listingSummary":{"methods":{"ja":"メタボローム","en":"Metabolome"},"targets":{"ja":"2型糖尿病：300症例\n（日本人）","en":"type2 diabetes: 300 cases\n(Japanese)"},"typeOfData":{"ja":"メタボローム","en":"Metabolome"}},"releaseNote":{"ja":"合併症がない2型糖尿病159症例、および、糖尿病性腎臓病と糖尿病性網膜症を合併する2型糖尿病141症例の血清代謝物を、質量分析による包括的なノンターゲットメタボロミクスアプローチ法により測定した。364血清代謝物の存在量および要約統計量をテキストファイルにて提供する。","en":"A comprehensive non-targeted metabolomics analysis with mass spectrometry was performed to profile serum metabolites of patients with type 2 diabetes with or without diabetic complications. The abundance of the 364 serum metabolites and the summary statistics are provided as text files."},"dataProviders":[{"name":{"ja":"山内 敏正","en":"Toshimasa Yamauchi"},"organization":{"name":{"ja":"東京大学医学部附属病院 糖尿病・代謝内科","en":"Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo"}}},{"name":{"ja":"門脇 孝","en":"Takashi Kadowaki"},"organization":{"name":{"ja":"東京大学医学部附属病院 糖尿病・代謝内科 / 虎の門病院","en":"Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo / Toranomon Hospital"}}},{"name":{"ja":"岡田 随象","en":"Yukinori Okada"},"organization":{"name":{"ja":"大阪大学大学院医学系研究科 遺伝統計学","en":"Department of Statistical Genetics, Graduate School of Medicine, Osaka University"}}}],"researchProjects":[{"name":{"ja":"糖尿病の遺伝・環境因子の包括的解析から日本発次世代型精密医療を社会実装するプロジェクト","en":"Social implementation of next-generation precision medicine from Japan based on comprehensive analysis of genetic and environmental factors of diabetes"},"url":{"ja":null,"en":null}}],"grants":[{"title":{"ja":"糖尿病の遺伝・環境因子の包括的解析から日本発次世代型精密医療を実現するプロジェクト","en":"Realization of next-generation precision medicine from Japan based on comprehensive analysis of genetic and environmental factors of diabetes"},"agency":{"ja":"日本医療研究開発機構（AMED） ゲノム医療実現推進プラットフォーム事業","en":"Platform Program for Promotion of Genome Medicine, Japan Agency for Medical Research and Development (AMED)"},"grantIds":["JP20km0405202"]},{"title":{"ja":"糖尿病の遺伝・環境因子の包括的解析から日本発次世代型精密医療を社会実装するプロジェクト","en":"Social implementation of next-generation precision medicine from Japan based on comprehensive analysis of genetic and environmental factors of diabetes"},"agency":{"ja":"日本医療研究開発機構（AMED） ゲノム医療実現推進プラットフォーム事業","en":"Platform Program for Promotion of Genome Medicine, Japan Agency for Medical Research and Development (AMED)"},"grantIds":["JP21tm0424218"]}],"relatedPublications":[{"title":"Identification of serum metabolome signatures associated with retinal and renal complications of type 2 diabetes","doi":"https://doi.org/10.1038/s43856-022-00231-3","datasets":["JGAD000698","MTBKS213","MTBKS214"]}],"datasets":["JGAD000698","MTBKS213","MTBKS214"],"controlledAccessUsers":[]}