{"title":"尿蛋白质组学揭示了早期识别利妥昔单抗在儿童类固醇抵抗性免疫性血小板减少症中的受益者的生物标志物候选物。","authors":"Yuncui Yu, Xingjuan Xie, Zhenping Chen, Jing Wei, Juntao Ouyang, Zheyan Lin, Jingyao Ma, Peng Guo, Runhui Wu, Lulu Jia, Jingang Gui","doi":"10.1111/bjh.70072","DOIUrl":null,"url":null,"abstract":"<p><p>Rituximab (RTX) is an effective treatment for children with steroid-resistant immune thrombocytopenia (ITP), but reliable biomarkers to predict its response early are lacking. We analysed urine samples from 37 steroid-resistant ITP patients-17 RTX responders (RTX-R) and 20 RTX non-responders (RTX-NR)-along with 40 healthy controls using a discovery-validation proteomics workflow. In the discovery cohort, we identified 78 differential proteins (DPs) before treatment and 67 DPs after treatment using the data-independent acquisition (DIA) approach. The RTX-R group was associated with humoral immunity and complement activation before treatment, while the RTX-NR group showed stronger connections to cellular immunity and glycolysis. The Mfuzz analysis indicated that RTX worked by reducing the B-cell receptor pathway and lipid metabolism while enhancing platelet activation. We validated two proteins (KLK6 and FUBP1) as candidate biomarkers for predicting RTX response through parallel reaction monitoring (PRM) technology, achieving an area under the curve (AUC) of 0.98, with a sensitivity of 1.00 and specificity of 0.85. A monitoring model with HK1, FUBP1, LAIR2, CSTA and RPL12 differentiated RTX-R from RTX-NR after treatment, yielding an AUC of 1.00, sensitivity of 0.92 and specificity of 0.95. Overall, these findings enhance our understanding of RTX mechanisms and support personalized therapy development for ITP.</p>","PeriodicalId":135,"journal":{"name":"British Journal of Haematology","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Urine proteomics uncovers biomarker candidates for early identifying rituximab beneficiaries in paediatric steroid-resistant immune thrombocytopenia.\",\"authors\":\"Yuncui Yu, Xingjuan Xie, Zhenping Chen, Jing Wei, Juntao Ouyang, Zheyan Lin, Jingyao Ma, Peng Guo, Runhui Wu, Lulu Jia, Jingang Gui\",\"doi\":\"10.1111/bjh.70072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Rituximab (RTX) is an effective treatment for children with steroid-resistant immune thrombocytopenia (ITP), but reliable biomarkers to predict its response early are lacking. We analysed urine samples from 37 steroid-resistant ITP patients-17 RTX responders (RTX-R) and 20 RTX non-responders (RTX-NR)-along with 40 healthy controls using a discovery-validation proteomics workflow. In the discovery cohort, we identified 78 differential proteins (DPs) before treatment and 67 DPs after treatment using the data-independent acquisition (DIA) approach. The RTX-R group was associated with humoral immunity and complement activation before treatment, while the RTX-NR group showed stronger connections to cellular immunity and glycolysis. The Mfuzz analysis indicated that RTX worked by reducing the B-cell receptor pathway and lipid metabolism while enhancing platelet activation. We validated two proteins (KLK6 and FUBP1) as candidate biomarkers for predicting RTX response through parallel reaction monitoring (PRM) technology, achieving an area under the curve (AUC) of 0.98, with a sensitivity of 1.00 and specificity of 0.85. A monitoring model with HK1, FUBP1, LAIR2, CSTA and RPL12 differentiated RTX-R from RTX-NR after treatment, yielding an AUC of 1.00, sensitivity of 0.92 and specificity of 0.95. Overall, these findings enhance our understanding of RTX mechanisms and support personalized therapy development for ITP.</p>\",\"PeriodicalId\":135,\"journal\":{\"name\":\"British Journal of Haematology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-08-08\",\"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.70072\",\"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.70072","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
Urine proteomics uncovers biomarker candidates for early identifying rituximab beneficiaries in paediatric steroid-resistant immune thrombocytopenia.
Rituximab (RTX) is an effective treatment for children with steroid-resistant immune thrombocytopenia (ITP), but reliable biomarkers to predict its response early are lacking. We analysed urine samples from 37 steroid-resistant ITP patients-17 RTX responders (RTX-R) and 20 RTX non-responders (RTX-NR)-along with 40 healthy controls using a discovery-validation proteomics workflow. In the discovery cohort, we identified 78 differential proteins (DPs) before treatment and 67 DPs after treatment using the data-independent acquisition (DIA) approach. The RTX-R group was associated with humoral immunity and complement activation before treatment, while the RTX-NR group showed stronger connections to cellular immunity and glycolysis. The Mfuzz analysis indicated that RTX worked by reducing the B-cell receptor pathway and lipid metabolism while enhancing platelet activation. We validated two proteins (KLK6 and FUBP1) as candidate biomarkers for predicting RTX response through parallel reaction monitoring (PRM) technology, achieving an area under the curve (AUC) of 0.98, with a sensitivity of 1.00 and specificity of 0.85. A monitoring model with HK1, FUBP1, LAIR2, CSTA and RPL12 differentiated RTX-R from RTX-NR after treatment, yielding an AUC of 1.00, sensitivity of 0.92 and specificity of 0.95. Overall, these findings enhance our understanding of RTX mechanisms and support personalized therapy development for ITP.
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.