{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T18:52:32Z","timestamp":1787165552354,"version":"build-2736575974"},"reference-count":29,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2024,4,25]],"date-time":"2024-04-25T00:00:00Z","timestamp":1714003200000},"content-version":"vor","delay-in-days":24,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81870255"],"award-info":[{"award-number":["81870255"]}],"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":["82300347"],"award-info":[{"award-number":["82300347"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Cellular Molecular Medi"],"published-print":{"date-parts":[[2024,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The genetic information of plasma total\u2010exosomes originating from tissues have already proven useful to assess the severity of coronary artery diseases (CAD). However, plasma total\u2010exosomes include multiple sub\u2010populations secreted by various tissues. Only analysing the genetic information of plasma total\u2010exosomes is perturbed by exosomes derived from other organs except the heart. We aim to detect early\u2010warning biomarkers associated with heart\u2010exosome genetic\u2010signatures for acute myocardial infarction (AMI) by a source\u2010tracking analysis of plasma exosome. The source\u2010tracking of AMI plasma total\u2010exosomes was implemented by deconvolution algorithm. The final early\u2010warning biomarkers associated with heart\u2010exosome genetic\u2010signatures for AMI was identified by integration with single\u2010cell sequencing, weighted gene correction network and machine learning analyses. The correlation between biomarkers and clinical indicators was validated in impatient cohort. A nomogram was generated using early\u2010warning biomarkers for predicting the CAD progression. The molecular subtypes landscape of AMI was detected by consensus clustering. A higher fraction of exosomes derived from spleen and blood cells was revealed in plasma exosomes, while a lower fraction of heart\u2010exosomes was detected. The gene ontology revealed that heart\u2010exosomes genetic\u2010signatures was associated with the heart development, cardiac function and cardiac response to stress. We ultimately identified three genes associated with heart\u2010exosomes defining early\u2010warning biomarkers for AMI. The early\u2010warning biomarkers mediated molecular clusters presented heterogeneous metabolism preference in AMI. Our study introduced three early\u2010warning biomarkers associated with heart\u2010exosome genetic\u2010signatures, which reflected the genetic information of heart\u2010exosomes carrying AMI signals and provided new insights for exosomes research in CAD progression and prevention.<\/jats:p>","DOI":"10.1111\/jcmm.18334","type":"journal-article","created":{"date-parts":[[2024,4,25]],"date-time":"2024-04-25T09:14:21Z","timestamp":1714036461000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Detecting early\u2010warning biomarkers associated with heart\u2010exosome genetic\u2010signature for acute myocardial infarction: A source\u2010tracking study of exosome"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2295-0061","authenticated-orcid":false,"given":"Xiaojun","family":"Jin","sequence":"first","affiliation":[{"name":"The Affiliated Lihuili Hospital of Ningbo University Health 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