{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1360021390583423232.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1159/000538313"}},{"identifier":{"@type":"URI","@value":"https://karger.com/ger/article-pdf/70/6/630/4241485/000538313.pdf"}}],"resourceType":"学術雑誌論文(journal article)","dc:title":[{"@value":"Identification of Potential Blood-Based Biomarkers for Frailty by Using an Integrative Approach"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p><b><i>Introduction:</i></b> Although frailty is a geriatric syndrome that is associated with disability, hospitalization, and mortality, it can be reversible and preventable with the appropriate interventions. Additionally, as the current diagnostic criteria for frailty include only physical, psychological, cognitive, and social measurements, there is a need for promising blood-based molecular biomarkers to aid in the diagnosis of frailty. <b><i>Methods:</i></b> To identify candidate blood-based biomarkers that can enhance current diagnosis of frailty, we conducted a comprehensive analysis of clinical data, messenger RNA-sequencing (RNA-seq), and aging-related factors using a total of 104 older adults aged 65–90 years (61 frail subjects and 43 robust subjects) in a cross-sectional case-control study. <b><i>Results:</i></b> We identified two candidate biomarkers of frailty from the clinical data analysis, nine from the RNA-seq analysis, and six from the aging-related factors analysis. By using combinations of the candidate biomarkers and clinical information, we constructed risk prediction models. The best models used combinations that included skeletal muscle mass index measured by dual-energy X-ray absorptiometry (adjusted <i>p</i> = 0.026), GDF15 (adjusted <i>p</i> = 1.46E-03), adiponectin (adjusted <i>p</i> = 0.012), CXCL9 (adjusted <i>p</i> = 0.011), or apelin (adjusted <i>p</i> = 0.020) as the biomarker. These models achieved a high area under the curve of 0.95 in an independent validation cohort (95% confidence interval: 0.79–0.97). Our risk prediction models showed significantly higher areas under the curve than did models constructed using only basic clinical information (Welch’s <i>t</i> test <i>p</i> &lt; 0.001). <b><i>Conclusion:</i></b> All five biomarkers showed statistically significant correlations with components of the frailty diagnostic criteria. We discovered several potential biomarkers for the diagnosis of frailty. Further refinement may lead to their future clinical use. </jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380021390583423239","@type":"Researcher","foaf:name":[{"@value":"Mutsumi Suganuma"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021390583423236","@type":"Researcher","foaf:name":[{"@value":"Motoki Furutani"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021390583423241","@type":"Researcher","foaf:name":[{"@value":"Tohru Hosoyama"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021390583423234","@type":"Researcher","foaf:name":[{"@value":"Risa Mitsumori"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021390583423238","@type":"Researcher","foaf:name":[{"@value":"Rei Otsuka"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021390583423237","@type":"Researcher","foaf:name":[{"@value":"Marie Takemura"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021390583423233","@type":"Researcher","foaf:name":[{"@value":"Yasumoto Matsui"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021390583423240","@type":"Researcher","foaf:name":[{"@value":"Yukiko Nakano"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021390583423242","@type":"Researcher","foaf:name":[{"@value":"Shumpei Niida"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021390583423232","@type":"Researcher","foaf:name":[{"@value":"Kouichi Ozaki"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021390583423243","@type":"Researcher","foaf:name":[{"@value":"Shosuke Satake"}]},{"@id":"https://cir.nii.ac.jp/crid/1380021390583423235","@type":"Researcher","foaf:name":[{"@value":"Daichi Shigemizu"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"0304324X"},{"@type":"EISSN","@value":"14230003"}],"prism:publicationName":[{"@value":"Gerontology"}],"dc:publisher":[{"@value":"S. Karger AG"}],"prism:publicationDate":"2024","prism:volume":"70","prism:number":"6","prism:startingPage":"630","prism:endingPage":"638"},"reviewed":"false","dc:rights":["https://karger.com/pages/terms-and-conditions","https://karger.com/pages/terms-and-conditions"],"url":[{"@id":"https://karger.com/ger/article-pdf/70/6/630/4241485/000538313.pdf"}],"createdAt":"2024-03-14","modifiedAt":"2025-04-23","project":[{"@id":"https://cir.nii.ac.jp/crid/1040018351902884352","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"23K24238"},{"@type":"JGN","@value":"JP23K24238"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23K24238/"}],"notation":[{"@language":"ja","@value":"高齢者における内在能力の簡易評価票の開発のためのコホート研究"}]},{"@id":"https://cir.nii.ac.jp/crid/1040299826878036736","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"23K21306"},{"@type":"JGN","@value":"JP23K21306"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23K21306/"}],"notation":[{"@language":"ja","@value":"マルチオミクス統合解析によるアルツハイマー病移行予測診断システムの開発"},{"@language":"en","@value":"Development of a prognosis prediction model for Alzheimer's disease using integrative multi-omics data"}]}],"relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360004235519691008","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"High plasma adiponectin levels are associated with frailty in a general old‐old population: The Septuagenarians, Octogenarians, Nonagenarians Investigation with Centenarians study"}]},{"@id":"https://cir.nii.ac.jp/crid/1360005516971654400","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment"}]},{"@id":"https://cir.nii.ac.jp/crid/1360011145412375168","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Towards frailty biomarkers: Candidates from genes and pathways regulated in aging and age-related diseases"}]},{"@id":"https://cir.nii.ac.jp/crid/1360021395972725888","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Biomarkers of Physical Frailty and Sarcopenia: Coming up to the Place?"}]},{"@id":"https://cir.nii.ac.jp/crid/1360302172597197568","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"NAG-1/GDF15 inhibits diabetic nephropathy via inhibiting AGE/RAGE-mediated inflammation signaling pathways in C57BL/6 mice and HK-2 cells"}]},{"@id":"https://cir.nii.ac.jp/crid/1360302870941454592","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Relationship of body mass index with frailty and all-cause mortality among middle-aged and older adults"}]},{"@id":"https://cir.nii.ac.jp/crid/1360302871986473600","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Physical Frailty and Hemoglobin-to-Red Cell Distribution Width Ratio in Japanese Older Outpatients"}]},{"@id":"https://cir.nii.ac.jp/crid/1360574096526561280","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Frailty and Risk of Falls, Fracture, and Mortality in Older Women: The Study of Osteoporotic Fractures"}]},{"@id":"https://cir.nii.ac.jp/crid/1360576121964342272","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Immunosenescence and Its Hallmarks: How to Oppose Aging Strategically? 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