{"id":"hum0365","version":1,"url":"https://humandbs.dbcls.jp/research/hum0365/v1","datePublished":"2023-06-09","versions":[{"version":1,"datePublished":"2023-06-09"}],"title":{"ja":"生活習慣病における腸内細菌の役割について","en":"The role of gut microbiota in metabolic diseases"},"summary":{"aims":{"ja":"糖尿病は高齢者における主要な疾患であり、心筋梗塞・脳卒中のリスクが増大することにより日本人の健康寿命を短縮する原因となっている。最近、肥満や2型糖尿病といった生活習慣病と腸内細菌との関連が動物やヒトで報告されている。そこで本研究では、東京大学検診センターの受診者から血液、便、唾液を採取し、次世代シーケンサーによりメタゲノム解析を行い、腸内細菌叢やその遺伝子構成の特徴を明らかにする。更に、メタボローム解析や血液を用いたトランスクリプトーム解析を行い、宿主代謝物や遺伝子発現の変化を明らかにする。これら包括的オミクス解析から得られた宿主および細菌由来情報と、検診項目に含まれる代謝パラメーターを比較することで、腸内細菌が肥満・2型糖尿病・メタボリックシンドロームといった生活習慣病の予測因子になりうるかについて検討する。","en":"Diabetes is a major disease in the elderly and is responsible for an increased risk of myocardial infarction and stroke. Recently, the relationship between microbiota and diabetes has been reported in animals and humans. In this study, blood, stool, and saliva samples were collected from examinees at the University of Tokyo Health Screening Center, and 16S rRNA and metagenomic analyses were performed to determine the variation of microbiota. Furthermore, metabolome and transcriptome analyses using blood were performed to reveal changes in host metabolites and gene expression. By comparing the host- and bacteria-derived information with the metabolic parameters, we analyzed whether microbiota can be a predictor of metabolic diseases."},"methods":{"ja":"東京大学検診センター人間ドックの受診者の末梢血単核細胞を分離後、抽出したRNAを用いたCAGE-seq解析","en":"RNAs were extracted from peripheral blood mononuclear cells and used for CAGE-seq analysis."},"targets":{"ja":"東京大学検診センター人間ドックの受診者298名（健常者103名、肥満者98名、耐糖能異常者97名）","en":"298 individuals (including 103, 98, and 97 individuals from normoglycemic lean, obese, and prediabetic groups, respectively) underwent their annual health check-up at the University of Tokyo Hospital."},"url":{"ja":null,"en":null}},"listingSummary":{"methods":{"ja":"転写開始点同定","en":"Transcription start site identification"},"targets":{"ja":"健常者：103名\n肥満症：98症例\n耐糖能異常：97症例\n（日本人）","en":"normoglycemic lean group: 103 individuals\nobese group: 98 cases\nprediabetic group: 97 cases\n(Japanese)"},"typeOfData":{"ja":"NGS\n（CAGE-seq）","en":"NGS\n(CAGE-seq)"}},"releaseNote":{"ja":"東京大学検診センター人間ドックの受診者298名（健常者103名、肥満者98名、耐糖能異常者97名）の末梢血単核球より抽出したRNAを用いたCAGE-seqデータをbamファイルにて提供する。","en":"RNAs were extracted from peripheral blood mononuclear cells of 298 individuals (including 103, 98, and 97 individuals from normoglycemic lean, obese, and prediabetic groups, respectively) and were used for CAGE-seq analysis. Bam files are provided."},"dataProviders":[{"name":{"ja":"大野 博司","en":"Hiroshi Ohno"},"organization":{"name":{"ja":"理化学研究所 生命医科学研究センター 粘膜システム研究チーム","en":"Laboratory for Intestinal Ecosystem, RIKEN Center for Integrative Medical Sciences"}}}],"researchProjects":[],"grants":[{"title":{"ja":"腸内細菌叢プロジェクト"},"agency":{"ja":"神奈川県立産業技術総合研究所","en":"Kanagawa Institute of Industrial Science and Technology"},"grantIds":null},{"title":{"ja":"2型糖尿病の肝臓におけるpathogenic paradoxの解明 -肝臓特異的IRS-1･IRS-2欠損マウスを用いて-"},"agency":{"ja":"小野医学研究財団研究奨励助成","en":"ONO Medical Research Foundation"},"grantIds":null}],"relatedPublications":[{"title":"Gut microbial carbohydrate metabolism contributes to insulin resistance","doi":"https://doi.org/10.1038/s41586-023-06466-x","datasets":["JGAD000695"]}],"datasets":["JGAD000695"],"controlledAccessUsers":[]}