Patrick M. Vanderboom, Yogesh Chawla, Surendra Dasari, Isha Kapoor, Shaji K. Kumar, K. Sreekumaran Nair, Wilson I. Gonsalves
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Plasma-derived extracellular vesicles (EVs) may serve as a reservoir of potential biomarkers that can shed light on the pathogenesis and disease biology of MM.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This study isolated small EVs (SEVs) and large EVs (LEVs) from the platelet-poor peripheral blood plasma of MGUS (<i>n</i> = 9) and MM (<i>n</i> = 12) patients using the size exclusion chromatography-based method and evaluated their proteome using a label-free proteomics workflow.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>In total, 2055 proteins were identified in SEVs, while 2794 proteins were identified in LEVs. The transferrin receptor (or CD71) protein was upregulated in both populations of EVs derived from MM patients compared to MGUS patients and was of prognostic significance. Similarly, three isoforms of serum amyloid A (SAA) protein, SAA1, SAA2, and SAA4, were also highly upregulated in SEVs within MM patients relative to MGUS patients. Finally, CD40 expression was also higher in the LEVs derived from MM patients than in MGUS patients.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This study demonstrates the feasibility of successfully isolating both SEVs and LEVs from the peripheral blood of patients with plasma cell disorders and quantifying protein biomarkers within these EVs that could be of prognostic and diagnostic interest.</p>\n </section>\n </div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Differences in the proteome within extracellular vesicles between premalignant and malignant plasma cell disorders\",\"authors\":\"Patrick M. Vanderboom, Yogesh Chawla, Surendra Dasari, Isha Kapoor, Shaji K. Kumar, K. Sreekumaran Nair, Wilson I. 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引用次数: 0
摘要
背景:浆细胞前体疾病,如意义未定的单克隆丙种球蛋白病(MGUS),总是发生在多发性骨髓瘤(MM)等活动性恶性肿瘤之前。我们需要新型生物标志物来识别那些患有此类前体浆细胞疾病并迅速发展为多发性骨髓瘤的患者。血浆衍生的细胞外囊泡(EVs)可作为潜在的生物标志物库,揭示 MM 的发病机制和疾病生物学:本研究采用基于尺寸排阻色谱的方法,从MGUS(9人)和MM(12人)患者贫血小板外周血血浆中分离出小EVs(SEVs)和大EVs(LEVs),并采用无标记蛋白质组学工作流程评估了它们的蛋白质组:结果:SEVs中共鉴定出2055个蛋白质,LEVs中共鉴定出2794个蛋白质。与MGUS患者相比,转铁蛋白受体(或CD71)蛋白在两种来源于MM患者的EVs中均上调,并具有预后意义。同样,在MM患者的SEVs中,血清淀粉样蛋白A(SAA)的三种同工酶SAA1、SAA2和SAA4的表达也比MGUS患者高。最后,MM 患者的 LEVs 中 CD40 的表达也高于 MGUS 患者:这项研究表明,从浆细胞疾病患者的外周血中成功分离出SEV和LEV,并对这些EV中具有预后和诊断意义的蛋白质生物标记物进行定量是可行的。
Differences in the proteome within extracellular vesicles between premalignant and malignant plasma cell disorders
Background
Precursor plasma cell disorders such as monoclonal gammopathy of undetermined significance (MGUS) always precede the development of active malignancies such as multiple myeloma (MM). There is a need for novel biomarkers to identify those patients with such precursor plasma cell disorders who rapidly progress to MM. Plasma-derived extracellular vesicles (EVs) may serve as a reservoir of potential biomarkers that can shed light on the pathogenesis and disease biology of MM.
Methods
This study isolated small EVs (SEVs) and large EVs (LEVs) from the platelet-poor peripheral blood plasma of MGUS (n = 9) and MM (n = 12) patients using the size exclusion chromatography-based method and evaluated their proteome using a label-free proteomics workflow.
Results
In total, 2055 proteins were identified in SEVs, while 2794 proteins were identified in LEVs. The transferrin receptor (or CD71) protein was upregulated in both populations of EVs derived from MM patients compared to MGUS patients and was of prognostic significance. Similarly, three isoforms of serum amyloid A (SAA) protein, SAA1, SAA2, and SAA4, were also highly upregulated in SEVs within MM patients relative to MGUS patients. Finally, CD40 expression was also higher in the LEVs derived from MM patients than in MGUS patients.
Conclusions
This study demonstrates the feasibility of successfully isolating both SEVs and LEVs from the peripheral blood of patients with plasma cell disorders and quantifying protein biomarkers within these EVs that could be of prognostic and diagnostic interest.