Bleeding, thrombosis and vascular biology最新文献

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Trypsin is as procoagulant as factor XIIa. 胰蛋白酶与XIIa因子一样具有促凝作用。

Bleeding, thrombosis and vascular biology Pub Date : 2026-08-28 DOI: 10.4081/btvb.2026.564

Stephanie A Smith, James H Morrissey

{"title":"Trypsin is as procoagulant as factor XIIa.","authors":"Stephanie A Smith, James H Morrissey","doi":"10.4081/btvb.2026.564","DOIUrl":"10.4081/btvb.2026.564","url":null,"abstract":"Background: To help shed light on the roles of the contact pathway of blood clotting, we quantified the relative procoagulant activities of each of the serine proteases of the clotting cascade.Methods: We added varying concentrations of the activated forms of different clotting proteases to normal human plasma and recorded the time to clot formation. We also compared these clotting activities to that of the nonspecific serine protease, trypsin.Results: The activated proteases of the final common pathway of blood clotting exhibited relatively strong clotting activity and achieved 100-second clotting times at pM to very low nM concentrations. In contrast, factor XIIa and plasma kallikrein exhibited weak clotting activity such that it required nearly 100 nM factor XIIa to achieve a 100-second clotting time, and for plasma kallikrein this was not achieved even with 100 nM enzyme. Trypsin was slightly more procoagulant than factor XIIa.Conclusions: The enzymes that trigger the contact pathway of blood clotting have remarkably weak procoagulant activity. The implications for the roles of factor XII and trypsin in thrombotic disorders and pancreatitis are discussed.","PeriodicalId":523856,"journal":{"name":"Bleeding, thrombosis and vascular biology","volume":"5 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13552055/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148915102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated Identification of Cancer-Associated Thrombosis Events via Natural Language Processing: A Systematic Review of the Literature. 通过自然语言处理自动识别癌症相关血栓事件：文献的系统回顾。

Bleeding, thrombosis and vascular biology Pub Date : 2026-01-01 Epub Date: 2026-04-16 DOI: 10.4081/btvb.2026.437

Aidan Boyne, Emily Zhou, Ang Li

{"title":"Automated Identification of Cancer-Associated Thrombosis Events via Natural Language Processing: A Systematic Review of the Literature.","authors":"Aidan Boyne, Emily Zhou, Ang Li","doi":"10.4081/btvb.2026.437","DOIUrl":"10.4081/btvb.2026.437","url":null,"abstract":"Accurate identification of cancer-associated thrombosis (CAT) in electronic health records is essential for disease surveillance, trial design, and the development of risk stratification models. Manual chart review is impractical at scale, while ICD-code or similar coding system-based extraction often misses events, fails to distinguish incident from prevalent events, or equates bland and tumor thrombi. Natural language processing (NLP) is a promising solution, offering scalable extraction of structured CAT events directly from clinical text. We systematically reviewed the literature for NLP-based pipelines for CAT identification according to PRISMA guidelines. PubMed, Embase, and Web of Science were queried for English language studies from 2010-2025. NLP methodology, training strategy, and model performance were extracted from relevant studies. Seven studies, implementing NLP approaches ranging from lexicon or rules-based pipelines to transformer models, met inclusion criteria. Most studies developed and evaluated models using text from a single institution, and only one distinguished incident CAT events from prevalent events. Reported metrics varied between studies, though models tended to exhibit higher specificity and negative predictive value than sensitivity and positive predictive value. Overall, current NLP systems for CAT identification have achieved desired results to assist but not supplant manual chart review. Major limitations include small and institution-specific datasets, absence of external validation, and lack of distinction between incident versus prevalent events. Development of generalizable models will require large, multi-institutional datasets as the field moves towards transformer-based models, and standardized evaluation metrics with shared benchmark test sets are needed for an unbiased measure of progress.","PeriodicalId":523856,"journal":{"name":"Bleeding, thrombosis and vascular biology","volume":"5 Suppl 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13183410/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147978309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0