{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T07:15:20Z","timestamp":1790147720911,"version":"4.0.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T00:00:00Z","timestamp":1748649600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T00:00:00Z","timestamp":1748649600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82200168"],"award-info":[{"award-number":["82200168"]}],"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":["82020108003"],"award-info":[{"award-number":["82020108003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20220247"],"award-info":[{"award-number":["BK20220247"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Health Foundation of Suzhou","award":["GSWS20211005"],"award-info":[{"award-number":["GSWS20211005"]}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC2502700"],"award-info":[{"award-number":["2022YFC2502700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jiangsu Provincial Medical Innovation Center","award":["CXZX202201"],"award-info":[{"award-number":["CXZX202201"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Thrombosis J"],"DOI":"10.1186\/s12959-025-00731-x","type":"journal-article","created":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T19:08:50Z","timestamp":1748718530000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Unveiling the role of lipid metabolism in haemorrhagic disorders: genetic insights and therapeutic perspectives"],"prefix":"10.1186","volume":"23","author":[{"given":"Jiaqi","family":"Wei","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nana","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Depei","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,31]]},"reference":[{"issue":"10040","key":"731_CR1","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/s0140-6736(15)01123-x","volume":"388","author":"F Peyvandi","year":"2016","unstructured":"Peyvandi F, Garagiola I, Young G. The past and future of haemophilia: diagnosis, treatments, and its complications. Lancet. 2016;388(10040):187\u201397. https:\/\/doi.org\/10.1016\/s0140-6736(15)01123-x.","journal-title":"Lancet"},{"issue":"4","key":"731_CR2","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.tmrv.2018.06.003","volume":"32","author":"BS Bannow","year":"2018","unstructured":"Bannow BS, Konkle BA. Inherited bleeding disorders in the obstetric patient. Transfus Med Rev. 2018;32(4):237\u201343. https:\/\/doi.org\/10.1016\/j.tmrv.2018.06.003.","journal-title":"Transfus Med Rev"},{"key":"731_CR3","doi-asserted-by":"publisher","unstructured":"Srivastava A, Santagostino E, Dougall A, Kitchen S, Sutherland M, Pipe SW et al. WFH Guidelines for the Management of Hemophilia, 3rd edition. Haemophilia. 2020;26 Suppl 6:1-158. https:\/\/doi.org\/10.1111\/hae.14046","DOI":"10.1111\/hae.14046"},{"issue":"1","key":"731_CR4","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1111\/j.1476-4431.2009.00389.x","volume":"19","author":"SA Smith","year":"2009","unstructured":"Smith SA. The cell-based model of coagulation. J Vet Emerg Crit Care (San Antonio). 2009;19(1):3\u201310. https:\/\/doi.org\/10.1111\/j.1476-4431.2009.00389.x.","journal-title":"J Vet Emerg Crit Care (San Antonio)"},{"issue":"5","key":"731_CR5","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1182\/blood-2018-07-820720","volume":"133","author":"GQ Perrin","year":"2019","unstructured":"Perrin GQ, Herzog RW, Markusic DM. Update on clinical gene therapy for hemophilia. Blood. 2019;133(5):407\u201314. https:\/\/doi.org\/10.1182\/blood-2018-07-820720.","journal-title":"Blood"},{"issue":"1","key":"731_CR6","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1039\/b906712b","volume":"40","author":"WB Dunn","year":"2011","unstructured":"Dunn WB, Broadhurst DI, Atherton HJ, Goodacre R, Griffin JL. Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy. Chem Soc Rev. 2011;40(1):387\u2013426. https:\/\/doi.org\/10.1039\/b906712b.","journal-title":"Chem Soc Rev"},{"issue":"4","key":"731_CR7","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1038\/nrm3314","volume":"13","author":"GJ Patti","year":"2012","unstructured":"Patti GJ, Yanes O, Siuzdak G, Innovation. Metabolomics: the apogee of the omics trilogy. Nat Rev Mol Cell Biol. 2012;13(4):263\u20139. https:\/\/doi.org\/10.1038\/nrm3314.","journal-title":"Nat Rev Mol Cell Biol"},{"issue":"7","key":"731_CR8","doi-asserted-by":"publisher","first-page":"2795","DOI":"10.1182\/blood-2008-02-138941","volume":"112","author":"R Majumder","year":"2008","unstructured":"Majumder R, Quinn-Allen MA, Kane WH, Lentz BR. A phosphatidylserine binding site in factor Va C1 domain regulates both assembly and activity of the prothrombinase complex. Blood. 2008;112(7):2795\u2013802. https:\/\/doi.org\/10.1182\/blood-2008-02-138941.","journal-title":"Blood"},{"issue":"1","key":"731_CR9","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1042\/bj20141177","volume":"467","author":"T Koklic","year":"2015","unstructured":"Koklic T, Chattopadhyay R, Majumder R, Lentz BR. Factor Xa dimerization competes with prothrombinase complex formation on platelet-like membrane surfaces. Biochem J. 2015;467(1):37\u201346. https:\/\/doi.org\/10.1042\/bj20141177.","journal-title":"Biochem J"},{"key":"731_CR10","doi-asserted-by":"publisher","unstructured":"Birney E. Mendelian randomization. Cold Spring Harb Perspect Med. 2022;12(4). https:\/\/doi.org\/10.1101\/cshperspect.a041302.","DOI":"10.1101\/cshperspect.a041302"},{"issue":"1","key":"731_CR11","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1038\/s41588-022-01270-1","volume":"55","author":"Y Chen","year":"2023","unstructured":"Chen Y, Lu T, Pettersson-Kymmer U, Stewart ID, Butler-Laporte G, Nakanishi T, et al. Genomic atlas of the plasma metabolome prioritizes metabolites implicated in human diseases. Nat Genet. 2023;55(1):44\u201353. https:\/\/doi.org\/10.1038\/s41588-022-01270-1.","journal-title":"Nat Genet"},{"issue":"3","key":"731_CR12","doi-asserted-by":"publisher","first-page":"350","DOI":"10.5853\/jos.2023.00381","volume":"25","author":"Q Wang","year":"2023","unstructured":"Wang Q, Dai H, Hou T, Hou Y, Wang T, Lin H, et al. Dissecting causal relationships between gut microbiota, blood metabolites, and stroke: A Mendelian randomization study. J Stroke. 2023;25(3):350\u201360. https:\/\/doi.org\/10.5853\/jos.2023.00381.","journal-title":"J Stroke"},{"issue":"5","key":"731_CR13","doi-asserted-by":"publisher","first-page":"e1004383","DOI":"10.1371\/journal.pgen.1004383","volume":"10","author":"C Giambartolomei","year":"2014","unstructured":"Giambartolomei C, Vukcevic D, Schadt EE, Franke L, Hingorani AD, Wallace C, et al. Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLoS Genet. 2014;10(5):e1004383. https:\/\/doi.org\/10.1371\/journal.pgen.1004383.","journal-title":"PLoS Genet"},{"key":"731_CR14","doi-asserted-by":"publisher","unstructured":"Stelzer G, Rosen N, Plaschkes I, Zimmerman S, Twik M, Fishilevich S, et al. The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses. Curr Protoc Bioinformatics. 2016;54:1. https:\/\/doi.org\/10.1002\/cpbi.5","DOI":"10.1002\/cpbi.5"},{"key":"731_CR15","doi-asserted-by":"publisher","first-page":"2173","DOI":"10.1136\/bmj.k2173","volume":"361","author":"JM Ordovas","year":"2018","unstructured":"Ordovas JM, Ferguson LR, Tai ES, Mathers JC. Personalised nutrition and health. BMJ. 2018;361:2173. https:\/\/doi.org\/10.1136\/bmj.k2173. bmj.k.","journal-title":"BMJ"},{"issue":"7","key":"731_CR16","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1002\/gepi.21758","volume":"37","author":"S Burgess","year":"2013","unstructured":"Burgess S, Butterworth A, Thompson SG. Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol. 2013;37(7):658\u201365. https:\/\/doi.org\/10.1002\/gepi.21758.","journal-title":"Genet Epidemiol"},{"issue":"D1","key":"731_CR17","doi-asserted-by":"publisher","first-page":"D353","DOI":"10.1093\/nar\/gkw1092","volume":"45","author":"M Kanehisa","year":"2017","unstructured":"Kanehisa M, Furumichi M, Tanabe M, Sato Y, Morishima K. KEGG: new perspectives on genomes, pathways, diseases and drugs. Nucleic Acids Res. 2017;45(D1):D353\u201361. https:\/\/doi.org\/10.1093\/nar\/gkw1092.","journal-title":"Nucleic Acids Res"},{"issue":"D1","key":"731_CR18","doi-asserted-by":"publisher","first-page":"D607","DOI":"10.1093\/nar\/gky1131","volume":"47","author":"D Szklarczyk","year":"2019","unstructured":"Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas J, et al. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 2019;47(D1):D607\u201313. https:\/\/doi.org\/10.1093\/nar\/gky1131.","journal-title":"Nucleic Acids Res"},{"issue":"3","key":"731_CR19","doi-asserted-by":"publisher","first-page":"e1001779","DOI":"10.1371\/journal.pmed.1001779","volume":"12","author":"C Sudlow","year":"2015","unstructured":"Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015;12(3):e1001779. https:\/\/doi.org\/10.1371\/journal.pmed.1001779.","journal-title":"PLoS Med"},{"issue":"5","key":"731_CR20","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1111\/all.12110","volume":"68","author":"JS Ried","year":"2013","unstructured":"Ried JS, Baurecht H, St\u00fcckler F, Krumsiek J, Gieger C, Heinrich J, et al. Integrative genetic and metabolite profiling analysis suggests altered phosphatidylcholine metabolism in asthma. Allergy. 2013;68(5):629\u201336. https:\/\/doi.org\/10.1111\/all.12110.","journal-title":"Allergy"},{"issue":"4","key":"731_CR21","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1038\/ng.3809","volume":"49","author":"T Long","year":"2017","unstructured":"Long T, Hicks M, Yu HC, Biggs WH, Kirkness EF, Menni C, et al. Whole-genome sequencing identifies common-to-rare variants associated with human blood metabolites. Nat Genet. 2017;49(4):568\u201378. https:\/\/doi.org\/10.1038\/ng.3809.","journal-title":"Nat Genet"},{"issue":"7362","key":"731_CR22","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1038\/nature10354","volume":"477","author":"K Suhre","year":"2011","unstructured":"Suhre K, Shin SY, Petersen AK, Mohney RP, Meredith D, W\u00e4gele B, et al. Human metabolic individuality in biomedical and pharmaceutical research. Nature. 2011;477(7362):54\u201360. https:\/\/doi.org\/10.1038\/nature10354.","journal-title":"Nature"},{"issue":"7944","key":"731_CR23","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1038\/s41586-022-05473-8","volume":"613","author":"MI Kurki","year":"2023","unstructured":"Kurki MI, Karjalainen J, Palta P, Sipil\u00e4 TP, Kristiansson K, Donner KM, et al. FinnGen provides genetic insights from a well-phenotyped isolated population. Nature. 2023;613(7944):508\u201318. https:\/\/doi.org\/10.1038\/s41586-022-05473-8.","journal-title":"Nature"},{"key":"731_CR24","doi-asserted-by":"publisher","unstructured":"Hemani G, Zheng J, Elsworth B, Wade KH, Haberland V, Baird D, et al. The MR-Base platform supports systematic causal inference across the human phenome. Elife. 2018;7. https:\/\/doi.org\/10.7554\/eLife.34408.","DOI":"10.7554\/eLife.34408"},{"issue":"6","key":"731_CR25","doi-asserted-by":"publisher","first-page":"1961","DOI":"10.1093\/ije\/dyw220","volume":"45","author":"J Bowden","year":"2016","unstructured":"Bowden J, Del Greco MF, Minelli C, Davey Smith G, Sheehan NA, Thompson JR. Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic. Int J Epidemiol. 2016;45(6):1961\u201374. https:\/\/doi.org\/10.1093\/ije\/dyw220.","journal-title":"Int J Epidemiol"},{"key":"731_CR26","doi-asserted-by":"publisher","first-page":"k601","DOI":"10.1136\/bmj.k601","volume":"362","author":"NM Davies","year":"2018","unstructured":"Davies NM, Holmes MV, Davey Smith G. Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians. BMJ. 2018;362:k601. https:\/\/doi.org\/10.1136\/bmj.k601.","journal-title":"BMJ"},{"issue":"6","key":"731_CR27","doi-asserted-by":"publisher","first-page":"1985","DOI":"10.1093\/ije\/dyx102","volume":"46","author":"FP Hartwig","year":"2017","unstructured":"Hartwig FP, Davey Smith G, Bowden J. Robust inference in summary data Mendelian randomization via the zero modal Pleiotropy assumption. Int J Epidemiol. 2017;46(6):1985\u201398. https:\/\/doi.org\/10.1093\/ije\/dyx102.","journal-title":"Int J Epidemiol"},{"issue":"1","key":"731_CR28","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1097\/ede.0000000000000559","volume":"28","author":"S Burgess","year":"2017","unstructured":"Burgess S, Bowden J, Fall T, Ingelsson E, Thompson SG. Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants. Epidemiology. 2017;28(1):30\u201342. https:\/\/doi.org\/10.1097\/ede.0000000000000559.","journal-title":"Epidemiology"},{"key":"731_CR29","doi-asserted-by":"publisher","unstructured":"Verhoeven KJF, Simonsen K, McIntyre L. Implementing false discovery rate control: increasing your power. Oikos. 2005;108. https:\/\/doi.org\/10.1111\/j.0030-1299.2005.13727.x.","DOI":"10.1111\/j.0030-1299.2005.13727.x"},{"issue":"8","key":"731_CR30","doi-asserted-by":"publisher","first-page":"802","DOI":"10.1002\/gepi.21765","volume":"37","author":"C Wallace","year":"2013","unstructured":"Wallace C. Statistical testing of shared genetic control for potentially related traits. Genet Epidemiol. 2013;37(8):802\u201313. https:\/\/doi.org\/10.1002\/gepi.21765.","journal-title":"Genet Epidemiol"},{"issue":"8","key":"731_CR31","doi-asserted-by":"publisher","first-page":"579","DOI":"10.14348\/molcells.2019.0065","volume":"42","author":"H Han","year":"2019","unstructured":"Han H, Lee S, Lee INGSEA. Network-Based gene set enrichment analysis for interpreting gene expression phenotypes with functional gene sets. Mol Cells. 2019;42(8):579\u201388. https:\/\/doi.org\/10.14348\/molcells.2019.0065.","journal-title":"Mol Cells"},{"issue":"D1","key":"731_CR32","doi-asserted-by":"publisher","first-page":"D457","DOI":"10.1093\/nar\/gkv1070","volume":"44","author":"M Kanehisa","year":"2016","unstructured":"Kanehisa M, Sato Y, Kawashima M, Furumichi M, Tanabe M. KEGG as a reference resource for gene and protein annotation. Nucleic Acids Res. 2016;44(D1):D457\u2013462. https:\/\/doi.org\/10.1093\/nar\/gkv1070.","journal-title":"Nucleic Acids Res"},{"issue":"D1","key":"731_CR33","doi-asserted-by":"publisher","first-page":"D1265","DOI":"10.1093\/nar\/gkad976","volume":"52","author":"C Knox","year":"2024","unstructured":"Knox C, Wilson M, Klinger CM, Franklin M, Oler E, Wilson A, et al. DrugBank 6.0: the drugbank knowledgebase for 2024. Nucleic Acids Res. 2024;52(D1):D1265\u201375. https:\/\/doi.org\/10.1093\/nar\/gkad976.","journal-title":"Nucleic Acids Res"},{"issue":"6","key":"731_CR34","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.1016\/j.ajhg.2016.10.003","volume":"99","author":"F Hormozdiari","year":"2016","unstructured":"Hormozdiari F, van de Bunt M, Segr\u00e8 AV, Li X, Joo JWJ, Bilow M, et al. Colocalization of GWAS and eQTL signals detects target genes. Am J Hum Genet. 2016;99(6):1245\u201360. https:\/\/doi.org\/10.1016\/j.ajhg.2016.10.003.","journal-title":"Am J Hum Genet"},{"issue":"4","key":"731_CR35","doi-asserted-by":"publisher","first-page":"592","DOI":"10.1038\/s41588-019-0385-z","volume":"51","author":"M Wainberg","year":"2019","unstructured":"Wainberg M, Sinnott-Armstrong N, Mancuso N, Barbeira AN, Knowles DA, Golan D, et al. Opportunities and challenges for transcriptome-wide association studies. Nat Genet. 2019;51(4):592\u20139. https:\/\/doi.org\/10.1038\/s41588-019-0385-z.","journal-title":"Nat Genet"},{"issue":"5","key":"731_CR36","doi-asserted-by":"publisher","first-page":"780","DOI":"10.1086\/429838","volume":"76","author":"DJ Schaid","year":"2005","unstructured":"Schaid DJ, McDonnell SK, Hebbring SJ, Cunningham JM, Thibodeau SN. Nonparametric tests of association of multiple genes with human disease. Am J Hum Genet. 2005;76(5):780\u201393. https:\/\/doi.org\/10.1086\/429838.","journal-title":"Am J Hum Genet"},{"issue":"12 Suppl 2","key":"731_CR37","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1093\/nutrit\/nuaa102","volume":"78","author":"JM Ordovas","year":"2020","unstructured":"Ordovas JM, Berciano S. Personalized nutrition and healthy aging. Nutr Rev. 2020;78(12 Suppl 2):58\u201365. https:\/\/doi.org\/10.1093\/nutrit\/nuaa102.","journal-title":"Nutr Rev"},{"issue":"5","key":"731_CR38","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s10654-017-0255-x","volume":"32","author":"S Burgess","year":"2017","unstructured":"Burgess S, Thompson SG. Interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol. 2017;32(5):377\u201389. https:\/\/doi.org\/10.1007\/s10654-017-0255-x.","journal-title":"Eur J Epidemiol"},{"issue":"1","key":"731_CR39","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1177\/0192623310389474","volume":"39","author":"AJ Gale","year":"2010","unstructured":"Gale AJ. Continuing education course #2: current Understanding of hemostasis. Toxicol Pathol. 2010;39(1):273\u201380. https:\/\/doi.org\/10.1177\/0192623310389474.","journal-title":"Toxicol Pathol"},{"issue":"10","key":"731_CR40","doi-asserted-by":"publisher","first-page":"17901","DOI":"10.3390\/ijms151017901","volume":"15","author":"RB Geraldo","year":"2014","unstructured":"Geraldo RB, Sathler PC, Louren\u00e7o AL, Saito MS, Cabral LM, Rampelotto PH, et al. Platelets: still a therapeutical target for haemostatic disorders. Int J Mol Sci. 2014;15(10):17901\u201319. https:\/\/doi.org\/10.3390\/ijms151017901.","journal-title":"Int J Mol Sci"},{"issue":"3","key":"731_CR41","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1007\/s00441-021-03471-2","volume":"387","author":"K Neubauer","year":"2022","unstructured":"Neubauer K, Zieger B. Endothelial cells and coagulation. Cell Tissue Res. 2022;387(3):391\u20138. https:\/\/doi.org\/10.1007\/s00441-021-03471-2.","journal-title":"Cell Tissue Res"},{"issue":"1","key":"731_CR42","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1111\/bjh.15872","volume":"186","author":"JS O\u2019Donnell","year":"2019","unstructured":"O\u2019Donnell JS, O\u2019Sullivan JM, Preston RJS. Advances in Understanding the molecular mechanisms that maintain normal haemostasis. Br J Haematol. 2019;186(1):24\u201336. https:\/\/doi.org\/10.1111\/bjh.15872.","journal-title":"Br J Haematol"},{"issue":"1","key":"731_CR43","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.blre.2014.09.003","volume":"29","author":"JC Chapin","year":"2015","unstructured":"Chapin JC, Hajjar KA. Fibrinolysis and the control of blood coagulation. Blood Rev. 2015;29(1):17\u201324. https:\/\/doi.org\/10.1016\/j.blre.2014.09.003.","journal-title":"Blood Rev"},{"key":"731_CR44","doi-asserted-by":"publisher","unstructured":"Calder PC. n-3 PUFA and inflammation: from membrane to nucleus and from bench to bedside. Proc Nutr Soc. 2020;1\u201313. https:\/\/doi.org\/10.1017\/s0029665120007077.","DOI":"10.1017\/s0029665120007077"},{"issue":"2","key":"731_CR45","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1038\/ng.507","volume":"42","author":"T Illig","year":"2010","unstructured":"Illig T, Gieger C, Zhai G, R\u00f6misch-Margl W, Wang-Sattler R, Prehn C, et al. A genome-wide perspective of genetic variation in human metabolism. Nat Genet. 2010;42(2):137\u201341. https:\/\/doi.org\/10.1038\/ng.507.","journal-title":"Nat Genet"},{"issue":"11","key":"731_CR46","doi-asserted-by":"publisher","first-page":"1293","DOI":"10.1248\/bpb.23.1293","volume":"23","author":"S Akiba","year":"2000","unstructured":"Akiba S, Murata T, Kitatani K, Sato T. Involvement of Lipoxygenase pathway in docosapentaenoic acid-induced Inhibition of platelet aggregation. Biol Pharm Bull. 2000;23(11):1293\u20137. https:\/\/doi.org\/10.1248\/bpb.23.1293.","journal-title":"Biol Pharm Bull"},{"issue":"1","key":"731_CR47","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.plefa.2009.05.001","volume":"81","author":"M Phang","year":"2009","unstructured":"Phang M, Garg ML, Sinclair AJ. Inhibition of platelet aggregation by omega-3 polyunsaturated fatty acids is gender specific-Redefining platelet response to fish oils. Prostaglandins Leukot Essent Fat Acids. 2009;81(1):35\u201340. https:\/\/doi.org\/10.1016\/j.plefa.2009.05.001.","journal-title":"Prostaglandins Leukot Essent Fat Acids"},{"issue":"8","key":"731_CR48","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1007\/s11745-010-3450-z","volume":"45","author":"NJ Mann","year":"2010","unstructured":"Mann NJ, O\u2019Connell SL, Baldwin KM, Singh I, Meyer BJ. Effects of seal oil and tuna-fish oil on platelet parameters and plasma lipid levels in healthy subjects. Lipids. 2010;45(8):669\u201381. https:\/\/doi.org\/10.1007\/s11745-010-3450-z.","journal-title":"Lipids"},{"issue":"10","key":"731_CR49","doi-asserted-by":"publisher","first-page":"e032390","DOI":"10.1161\/jaha.123.032390","volume":"13","author":"M Javaid","year":"2024","unstructured":"Javaid M, Kadhim K, Bawamia B, Cartlidge T, Farag M, Alkhalil M. Bleeding risk in patients receiving Omega-3 polyunsaturated fatty acids: A systematic review and Meta-Analysis of randomized clinical trials. J Am Heart Assoc. 2024;13(10):e032390. https:\/\/doi.org\/10.1161\/jaha.123.032390.","journal-title":"J Am Heart Assoc"},{"issue":"9","key":"731_CR50","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/s11883-020-00865-5","volume":"22","author":"M Lombardi","year":"2020","unstructured":"Lombardi M, Chiabrando JG, Vescovo GM, Bressi E, Del Buono MG, Carbone S, et al. Impact of different doses of Omega-3 fatty acids on cardiovascular outcomes: a pairwise and network Meta-analysis. Curr Atheroscler Rep. 2020;22(9):45. https:\/\/doi.org\/10.1007\/s11883-020-00865-5.","journal-title":"Curr Atheroscler Rep"},{"issue":"26","key":"731_CR51","doi-asserted-by":"publisher","first-page":"23247","DOI":"10.1074\/jbc.M111.251769","volume":"286","author":"N Tavoosi","year":"2011","unstructured":"Tavoosi N, Davis-Harrison RL, Pogorelov TV, Ohkubo YZ, Arcario MJ, Clay MC, et al. Molecular determinants of phospholipid synergy in blood clotting. J Biol Chem. 2011;286(26):23247\u201353. https:\/\/doi.org\/10.1074\/jbc.M111.251769.","journal-title":"J Biol Chem"},{"issue":"6","key":"731_CR52","doi-asserted-by":"publisher","first-page":"3390","DOI":"10.1039\/d0ra09218e","volume":"11","author":"S Mallik","year":"2021","unstructured":"Mallik S, Prasad R, Das K, Sen P. Alcohol functionality in the fatty acid backbone of sphingomyelin guides the Inhibition of blood coagulation. RSC Adv. 2021;11(6):3390\u20138. https:\/\/doi.org\/10.1039\/d0ra09218e.","journal-title":"RSC Adv"},{"issue":"1","key":"731_CR53","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1161\/atvbaha.122.318443","volume":"43","author":"J Wang","year":"2023","unstructured":"Wang J, Keshava S, Das K, Kolesnick R, Jiang XC, Pendurthi UR, et al. Alterations to sphingomyelin metabolism affect hemostasis and thrombosis. Arterioscler Thromb Vasc Biol. 2023;43(1):64\u201378. https:\/\/doi.org\/10.1161\/atvbaha.122.318443.","journal-title":"Arterioscler Thromb Vasc Biol"},{"issue":"7","key":"731_CR54","doi-asserted-by":"publisher","first-page":"1533","DOI":"10.1038\/s44321-024-00090-6","volume":"16","author":"N Lorito","year":"2024","unstructured":"Lorito N, Subbiani A, Smiriglia A, Bacci M, Bonechi F, Tronci L, et al. FADS1\/2 control lipid metabolism and ferroptosis susceptibility in triple-negative breast cancer. EMBO Mol Med. 2024;16(7):1533\u201359. https:\/\/doi.org\/10.1038\/s44321-024-00090-6.","journal-title":"EMBO Mol Med"}],"container-title":["Thrombosis Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12959-025-00731-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12959-025-00731-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12959-025-00731-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T11:24:05Z","timestamp":1751282645000},"score":1,"resource":{"primary":{"URL":"https:\/\/thrombosisjournal.biomedcentral.com\/articles\/10.1186\/s12959-025-00731-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,31]]},"references-count":54,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["731"],"URL":"https:\/\/doi.org\/10.1186\/s12959-025-00731-x","relation":{},"ISSN":["1477-9560"],"issn-type":[{"value":"1477-9560","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,31]]},"assertion":[{"value":"13 February 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 April 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 May 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"55"}}