{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:00:55Z","timestamp":1783036855791,"version":"3.54.6"},"reference-count":34,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2026,5,31]],"date-time":"2026-05-31T00:00:00Z","timestamp":1780185600000},"content-version":"vor","delay-in-days":30,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["23ZR1435900"],"award-info":[{"award-number":["23ZR1435900"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Innovation Plan of Shanghai","award":["23JC1403200"],"award-info":[{"award-number":["23JC1403200"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82574086"],"award-info":[{"award-number":["82574086"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372286"],"award-info":[{"award-number":["62372286"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"publisher","award":["2024YFC2309600"],"award-info":[{"award-number":["2024YFC2309600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Accurate quantification of biological age is essential for early risk stratification and intervention of chronic diseases. Here, we present StackAge, an ensemble-based biological aging clock that integrates large-scale plasma proteomic and metabolomic profiles from 30\u00a0376 participants in the UK Biobank. StackAge demonstrated high accuracy in age prediction (Pearson r\u2009\u2248\u20090.93 with chronological age) and substantially enhanced risk prediction for 12 chronic diseases, achieving AUCs exceeding 0.90 for type 2 diabetes, Alzheimer\u2019s disease, and chronic kidney disease. Notably, the incorporation of estimated aging rates consistently improved disease prediction beyond conventional omics and demographic features. Feature interpretation and pathway enrichment analyses revealed that aging-associated biomarkers were enriched in inflammation, metabolic stress, and extracellular matrix remodeling pathways. Mediation analysis further indicated that modifiable lifestyle factors may accelerate biological aging, thereby increasing susceptibility to cardiovascular, neurological, immune, and musculoskeletal disorders. Together, these findings establish a robust multi-omics framework for quantifying individual aging trajectories and highlight biological age as a clinically actionable indicator for precision prevention and health management of age-related diseases.<\/jats:p>","DOI":"10.1093\/bib\/bbag271","type":"journal-article","created":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T11:38:02Z","timestamp":1778585882000},"source":"Crossref","is-referenced-by-count":1,"title":["StackAge: an ensemble-based clock for precise quantification of biological age using multi-omics data"],"prefix":"10.1093","volume":"27","author":[{"given":"Yingyi","family":"Jiang","sequence":"first","affiliation":[{"name":"College of Information Technology, Shanghai Ocean University , 999 Hucheng Ring Road, Pudong New District, Shanghai 201306 ,","place":["China"]},{"name":"Key Laboratory of Fisheries Information Ministry of Agriculture , 999 Hucheng Ring Road, Pudong New District, Shanghai 201306 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Jia","sequence":"additional","affiliation":[{"name":"Department of Biomaterials and Stem Cells, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science , 88 Keling Road, Suzhou New District, Suzhou, Jiangsu Province, 215011 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Fei","sequence":"additional","affiliation":[{"name":"Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine , 1 Banxia Road, Pudong New District, Shanghai 200025 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoguang","family":"Li","sequence":"additional","affiliation":[{"name":"Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine , 1 Banxia Road, Pudong New District, Shanghai 200025 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1832-4404","authenticated-orcid":false,"given":"Xiaoqi","family":"Zheng","sequence":"additional","affiliation":[{"name":"Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine , 1 Banxia Road, Pudong New District, Shanghai 200025 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yufang","family":"Qin","sequence":"additional","affiliation":[{"name":"College of Information Technology, Shanghai Ocean University , 999 Hucheng Ring Road, Pudong New District, Shanghai 201306 ,","place":["China"]},{"name":"Key Laboratory of Fisheries Information Ministry of Agriculture , 999 Hucheng Ring Road, Pudong New District, Shanghai 201306 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