{"title":"整合趋化因子和机器学习算法,用于原发性免疫血小板减少症的诊断和出血评估:前瞻性队列研究","authors":"Qing Wen, Ting Sun, Jia Chen, Yang Li, Xiaofan Liu, Huiyuan Li, Rongfeng Fu, Wei Liu, Feng Xue, Mankai Ju, Huan Dong, Xinyue Dai, Wentian Wang, Ying Chi, Renchi Yang, Yunfei Chen, Lei Zhang","doi":"10.1111/bjh.19745","DOIUrl":null,"url":null,"abstract":"SummaryPrimary immune thrombocytopenia (ITP) is an autoimmune bleeding disorder, and chemokines have been shown to be dysregulated in autoimmune disorders. We conducted a prospective analysis to identify potential chemokines that could enhance the diagnostic accuracy and bleeding evaluation in ITP patients. In the discovery cohort, a Luminex‐based assay was employed to quantify concentrations of plasma multiple chemokines. These levels were subjected to comparative analysis using a cohort of 60 ITP patients and 17 patients with thrombocytopenia other than ITP (non‐ITP). Additionally, comparative evaluation was conducted between a subgroup of 12 ITP patients characterised by bleeding episodes (ITP‐B, as defined by an ITP‐2016 bleeding grade ≥2) and 33 ITP patients without bleeding episodes (ITP‐NB, as defined by an ITP‐2016 bleeding grade ≤1). Machine learning algorithms further identified CCL20, interleukin‐2, CCL26, CCL25, and CXCL1 as promising indicators for accurate diagnosis of ITP and CCL21, CXCL8, CXCL10, CCL8, CCL3, and CCL15 as biomarkers for assessing bleeding risk in ITP patients. The results were confirmed using enzyme‐linked immunosorbent assays in a validation cohort (43 ITP patients and 19 non‐ITP patients). Overall, the findings suggest that specific chemokines show promise as potential biomarkers for diagnosis and bleeding evaluation in ITP patients.","PeriodicalId":135,"journal":{"name":"British Journal of Haematology","volume":null,"pages":null},"PeriodicalIF":5.1000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrating chemokines and machine learning algorithms for diagnosis and bleeding assessment in primary immune thrombocytopenia: A prospective cohort study\",\"authors\":\"Qing Wen, Ting Sun, Jia Chen, Yang Li, Xiaofan Liu, Huiyuan Li, Rongfeng Fu, Wei Liu, Feng Xue, Mankai Ju, Huan Dong, Xinyue Dai, Wentian Wang, Ying Chi, Renchi Yang, Yunfei Chen, Lei Zhang\",\"doi\":\"10.1111/bjh.19745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SummaryPrimary immune thrombocytopenia (ITP) is an autoimmune bleeding disorder, and chemokines have been shown to be dysregulated in autoimmune disorders. We conducted a prospective analysis to identify potential chemokines that could enhance the diagnostic accuracy and bleeding evaluation in ITP patients. In the discovery cohort, a Luminex‐based assay was employed to quantify concentrations of plasma multiple chemokines. These levels were subjected to comparative analysis using a cohort of 60 ITP patients and 17 patients with thrombocytopenia other than ITP (non‐ITP). Additionally, comparative evaluation was conducted between a subgroup of 12 ITP patients characterised by bleeding episodes (ITP‐B, as defined by an ITP‐2016 bleeding grade ≥2) and 33 ITP patients without bleeding episodes (ITP‐NB, as defined by an ITP‐2016 bleeding grade ≤1). Machine learning algorithms further identified CCL20, interleukin‐2, CCL26, CCL25, and CXCL1 as promising indicators for accurate diagnosis of ITP and CCL21, CXCL8, CXCL10, CCL8, CCL3, and CCL15 as biomarkers for assessing bleeding risk in ITP patients. The results were confirmed using enzyme‐linked immunosorbent assays in a validation cohort (43 ITP patients and 19 non‐ITP patients). Overall, the findings suggest that specific chemokines show promise as potential biomarkers for diagnosis and bleeding evaluation in ITP patients.\",\"PeriodicalId\":135,\"journal\":{\"name\":\"British Journal of Haematology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British Journal of Haematology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/bjh.19745\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"British Journal of Haematology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/bjh.19745","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
Integrating chemokines and machine learning algorithms for diagnosis and bleeding assessment in primary immune thrombocytopenia: A prospective cohort study
SummaryPrimary immune thrombocytopenia (ITP) is an autoimmune bleeding disorder, and chemokines have been shown to be dysregulated in autoimmune disorders. We conducted a prospective analysis to identify potential chemokines that could enhance the diagnostic accuracy and bleeding evaluation in ITP patients. In the discovery cohort, a Luminex‐based assay was employed to quantify concentrations of plasma multiple chemokines. These levels were subjected to comparative analysis using a cohort of 60 ITP patients and 17 patients with thrombocytopenia other than ITP (non‐ITP). Additionally, comparative evaluation was conducted between a subgroup of 12 ITP patients characterised by bleeding episodes (ITP‐B, as defined by an ITP‐2016 bleeding grade ≥2) and 33 ITP patients without bleeding episodes (ITP‐NB, as defined by an ITP‐2016 bleeding grade ≤1). Machine learning algorithms further identified CCL20, interleukin‐2, CCL26, CCL25, and CXCL1 as promising indicators for accurate diagnosis of ITP and CCL21, CXCL8, CXCL10, CCL8, CCL3, and CCL15 as biomarkers for assessing bleeding risk in ITP patients. The results were confirmed using enzyme‐linked immunosorbent assays in a validation cohort (43 ITP patients and 19 non‐ITP patients). Overall, the findings suggest that specific chemokines show promise as potential biomarkers for diagnosis and bleeding evaluation in ITP patients.
期刊介绍:
The British Journal of Haematology publishes original research papers in clinical, laboratory and experimental haematology. The Journal also features annotations, reviews, short reports, images in haematology and Letters to the Editor.