{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T03:24:06Z","timestamp":1788146646405,"version":"build-2803163510"},"reference-count":30,"publisher":"BMJ","issue":"7","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["(82171303, 82171412)."],"award-info":[{"award-number":["(82171303, 82171412)."]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["J NeuroIntervent Surg"],"accepted":{"date-parts":[[2022,5,13]]},"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>The diagnosis of cerebral thrombosis origin is challenging and remains unclear. This study aims to identify thrombosis due to cardioembolism (CE) and large artery atherosclerosis (LAA) from a new perspective of distinct metabolites.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Distinct metabolites between 26 CE and 22 LAA origin thrombi, which were extracted after successful mechanical thrombectomy in patients with acute ischemic stroke in the anterior circulation, were analyzed with a ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) system. Enriched metabolic pathways related to the metabolites were identified. Least absolute shrinkage selection operator regression analyses and a filtering method were used to select potential predictors. Furthermore, four machine learning classifiers, including decision tree, logistic regression, random forest (RF), and k means unsupervised classification model, were used to evaluate the predictive ability of the selected metabolites.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>UPLC-QTOF-MS analysis revealed that levels of 88 and 55 metabolites were elevated in LAA and CE thrombi, respectively. Kyoto Encyclopedia of Genes and Genomes analysis revealed a significant difference between the pathways enriched in the two types of thrombi. Six metabolites (diglyceride (DG, 18:3\/24:0), DG (22:0\/24:0), phytosphingosine, galabiosylceramide (18:1\/24:1), triglyceride (15:0\/16:1\/o\u201318:0), and glucosylceramide (18:1\/24:0)) were finally selected to build a predictive model. The predictive RF model was confirmed to be the best, with a satisfactory stability and prediction capacity (area under the curve=0.889).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Six metabolites as potential predictors for distinguishing between cerebral thrombi of CE and LAA origin were identified. The results are useful for understanding the pathogenesis and for secondary stroke prevention.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/neurintsurg-2022-019047","type":"journal-article","created":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T13:25:41Z","timestamp":1654176341000},"page":"701-707","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":18,"title":["Thrombosis origin identification of cardioembolism and large artery atherosclerosis by distinct metabolites"],"prefix":"10.1136","volume":"15","author":[{"given":"Wei","family":"Li","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China"},{"name":"Department of Neurosurgery, Liaocheng People\u2019s Hospital, Liaocheng City, Shandong Province, China"},{"name":"China International Neuroscience Institute (China-INI), Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuesong","family":"Bai","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China"},{"name":"China International Neuroscience Institute (China-INI), Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiheng","family":"Hao","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Liaocheng People\u2019s Hospital, Liaocheng City, Shandong Province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China"},{"name":"China International Neuroscience Institute (China-INI), Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Lin","sequence":"additional","affiliation":[{"name":"Department 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