{"created":"2023-11-08T01:36:51.205332+00:00","id":2000299,"links":{},"metadata":{"_buckets":{"deposit":"1cfacb1d-40e8-4871-8f95-a670da9ac4c6"},"_deposit":{"created_by":42,"id":"2000299","owners":[42],"pid":{"revision_id":0,"type":"depid","value":"2000299"},"status":"published"},"_oai":{"id":"oai:kindai.repo.nii.ac.jp:02000299","sets":["14:2667:1697004343623"]},"author_link":[],"item_1693381679919":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"report","resourceuri":"http://purl.org/coar/resource_type/c_93fc"}]},"item_30001_bibliographic_information17":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicNumberOfPages":"13","bibliographic_titles":[{"bibliographic_title":"科学研究費助成事業研究成果報告書 (2022)","bibliographic_titleLang":"ja"}]}]},"item_30001_creator2":{"attribute_name":"研究代表者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"34419","affiliationNameIdentifierScheme":"kakenhi"}],"affiliationNames":[{"affiliationName":"近畿大学","affiliationNameLang":"ja"},{"affiliationName":"Kindai University","affiliationNameLang":"en"}]}],"creatorNames":[{"creatorName":"横山, 聡","creatorNameLang":"ja"},{"creatorName":"Yokoyama, Satoshi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"70615913","nameIdentifierScheme":"e-Rad"}]}]},"item_30001_description8":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"本研究は，医療情報データベースやオミックス情報といった種々のビッグデータを統合して解析することによって，既存薬の新たな薬効を見出すドラッグ・リポジショニングを目的とした研究である。診療情報データベースや有害事象自発報告データベースから逆シグナルを検出する手法を確立し，ドラッグ・リポジショニングの候補薬をスクリーニングした。また，オミックス情報を解析することにより，候補薬が有する新規の分子メカニズムを推定した。本研究によって，複数のビッグデータを統合解析にすることでドラッグ・リポジショニング研究を遂行できる可能性が見いだされた。","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"This study aimed at drug repositioning to find new effects of existing drugs by integrated analysis using various big data such as clinical database and omics data. We established a method to detect inverse signals from the administrative claims database and the spontaneous reporting database, and screened candidate drugs for repositioning. Furthermore, we identified pathways involved in novel pharmacological actions of the candidate drugs by analyzing omics data. This study revealed the possibility of drug repositioning studies by integrated analysis using multiple big data.","subitem_description_language":"en","subitem_description_type":"Abstract"},{"subitem_description":"研究分野：医療薬学","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_30001_file22":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","filename":"19K16461seika.pdf","format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://kindai.repo.nii.ac.jp/record/2000299/files/19K16461seika.pdf"},"version_id":"611aebf1-947f-4a33-b129-5c1dda20d261"}]},"item_30001_funding_reference15":{"attribute_name":"助成情報","attribute_value_mlt":[{"subitem_award_numbers":{"subitem_award_number":"19K16461","subitem_award_uri":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19K16461/"},"subitem_award_titles":[{"subitem_award_title":"ドラッグ・リポジショニングを目指した医療系データベースとオミックス情報の統合解析","subitem_award_title_language":"ja"},{"subitem_award_title":"Integrated analysis of clinical database and omics data for drug repositioning","subitem_award_title_language":"en"}],"subitem_funder_names":[{"subitem_funder_name":"独立行政法人日本学術振興会","subitem_funder_name_language":"ja"},{"subitem_funder_name":"Japan Society for the Promotion of Science","subitem_funder_name_language":"en"}]}]},"item_30001_language10":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_30001_subject7":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ドラッグ・リポジショニング","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"リアルワールドデータ","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"診療情報データベース","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"有害事象自発報告データベース","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"トランスクリプトームデータベース","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"オミックス情報","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"医療情報データベース","subitem_subject_language":"ja","subitem_subject_scheme":"Other"}]},"item_30001_title0":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ドラッグ・リポジショニングを目指した医療系データベースとオミックス情報の統合解析","subitem_title_language":"ja"},{"subitem_title":"Integrated analysis of clinical database and omics data for drug repositioning","subitem_title_language":"en"}]},"item_30001_version_type12":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_title":"ドラッグ・リポジショニングを目指した医療系データベースとオミックス情報の統合解析","item_type_id":"40001","owner":"42","path":["1697004343623"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-11-08"},"publish_date":"2023-11-08","publish_status":"0","recid":"2000299","relation_version_is_last":true,"title":["ドラッグ・リポジショニングを目指した医療系データベースとオミックス情報の統合解析"],"weko_creator_id":"42","weko_shared_id":-1},"updated":"2024-02-09T05:49:03.578112+00:00"}