[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-427341-105":59,"doc-detail-427341-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","integrative-multi-omic-signatures-of-longevity-and-healthy-aging-abstract","INTEGRATIVE MULTI-OMIC SIGNATURES OF LONGEVITY AND HEALTHY AGING - Abstract","","Growing interest in serum-based biomarkers for healthy aging is addressed through proteomic and metabolomic profiling. The Longevity Consortium produced untargeted mass spectrometry datasets across four cohorts—MrOS, SOF, Health ABC, and CHS—covering 3380 participants under a 1:3 case-cohort design. A robust prospective longevity signature was defined using survival to the 98th percentile with sex-and birth-cohort distributions. Using multiblock sparse partial least squares discriminant analysis and systems biology, biomarkers linked to coagulation/complement and cholesterol transport were derived from ~5000 metabolites and 500 proteins. Cholesterol-transport signals (apolipoproteins) were enriched in females, and results were validated via centenarian and mouse longevity studies, supporting integrative systems approaches for personalized interventions and disease mitigation.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/integrative-multi-omic-signatures-of-longevity-and-healthy-aging-abstract/427341/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/integrative-multi-omic-signatures-of-longevity-and-healthy-aging-abstract/427341.png","ImageObject",300,407,{"name":92,"@type":93},"Aria","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-05","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":81},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"How was the longevity signature defined in this study?","Question",{"text":112,"@type":113},"Longevity was defined as survival to the 98th percentile based on sex- and birth-cohort-specific survival distributions.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What data types were integrated to build the multi-omic signatures?",{"text":117,"@type":113},"Untargeted serum proteomic and metabolomic datasets from mass spectrometry were integrated using systems biology and multiblock sparse partial least squares discriminant analysis.",{"name":119,"@type":110,"acceptedAnswer":120},"What sex-specific result was reported?",{"text":121,"@type":113},"The cholesterol transport signature, involving apolipoproteins, was enriched only in females, indicating sex-specific longevity mechanisms.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},427341,1790962524,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":81,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":81},2336464648322,"https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488","Innovation in Aging, 2025, Vol. 9, No. S2 851  \nAbstract citation ID: igaf122.2881  \nINTEGRATIVE MULTI-OMIC SIGNATURES OF  \nLONGEVITY AND HEALTHY AGING  \nLance Pflieger1, Kengo Watanabe2, Theinmozhi Arulraj3, Max Robinson3, Oliver Fiehn4, Robert Moritz3, Jodi Lapidus5, and Noa Rappaport6, 1. Phenome Health, Seattle, Washington, United States, 2. Tokushima University Graduate School of Biomedical Sciences, Tokushima, Tokushima, Japan, 3.  \nInstitute for Systems Biology, Seattle, Washington, United States, 4. University of California, Davis, Davis, California, United States, 5. Oregon Health & Science University, Portland, Oregon, United States, 6. Institute for Systems Biology, Buck Institute, Phenome Health, Seattle, Washington, United States  \nThere is a growing interest in serum-based biomarkers that reveal the mechanisms of healthy aging. The Longevity Consortium generated untargeted mass spectrometry-based proteomic and metabolomic datasets from serum samples across four cohorts; the Osteoporotic Fractures in Men (MrOS) Study, the Study of Osteoporotic Fractures (SOF), the Health, Aging, and Body Composition (Health ABC) Study, and the Cardiovascular Health Study (CHS) totaling 3380 total participants with a 1:3 case-cohort design. This dataset offers a unique opportunity to identify a robust prospective signature of Longevity, defined as survival to the 98th percentile based on sex-and birth cohort-specific survival distributions. We applied multiblock sparse partial least squares discriminant analysis and systems biology approaches to integrate and construct multi-omic signatures predictive of longevity. From approximately 5000 metabolites and 500 proteins, we identified biomarkers associated with coagulation and complement and cholesterol transport.  \nInterestingly, the cholesterol transport signature (apolipoproteins) was only enriched in females, suggesting sex-specific mechanisms of longevity. Furthermore, we validate these findings by comparing omics data from human centenarian and mouse longevity studies that also capture molecular signatures induced by life-extending interventions. This study underscores the power of integrative systems biology methods in characterizing the heterogeneity of molecular aging phenotypes, ultimately enabling the development of robust longevity signatures. The identified biomarker signatures have potential implications for personalized interventions aimed at promoting healthy aging and mitigating age-related diseases.","cbCaimuF3SD2JU8E","https://ap.wps.com/l/cbCaimuF3SD2JU8E","pdf",762005,"English","# Abstract\n## Study cohorts and design\n## Longevity signature definition\n## Methods for multi-omic integration\n## Key biomarkers and sex-specific findings\n## Validation and implications","[{\"question\":\"How was the longevity signature defined in this study?\",\"answer\":\"Longevity was defined as survival to the 98th percentile based on sex- and birth-cohort-specific survival distributions.\"},{\"question\":\"What data types were integrated to build the multi-omic signatures?\",\"answer\":\"Untargeted serum proteomic and metabolomic datasets from mass spectrometry were integrated using systems biology and multiblock sparse partial least squares discriminant analysis.\"},{\"question\":\"What sex-specific result was reported?\",\"answer\":\"The cholesterol transport signature, involving apolipoproteins, was enriched only in females, indicating sex-specific longevity mechanisms.\"}]","INTEGRATIVE MULTI-OMIC SIGNATURES OF LONGEVITY AND HEALTHY AGING - Abstract | PDF",1790643598]