Isolation of synovial fluid exosomes using phospholipid molecular imprinting technology and discovery of early diagnostic markers for osteoarthritis

IF 2 4区 化学 Q3 CHEMISTRY, ANALYTICAL
Hualong Deng, Chaoyong Jiang, Huaxin Deng, Yaohua Li, Baoliang Zhang
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引用次数: 0

Abstract

Osteoarthritis (OA) is a leading cause of chronic pain and disability in the elderly. The lack of sensitive diagnostic methods for early OA remains a major clinical challenge. Synovial fluid contains exosomes (SF-exosomes) that carry disease-specific biomolecules, making them promising targets for early diagnosis. However, efficient isolation of SF-exosomes with high purity is technically demanding. This study aimed to develop phosphatidylserine-based molecularly imprinted polymers (P-MIPs) for the efficient enrichment of SF-exosomes and to discover potential protein biomarkers for early OA diagnosis using proteomic analysis. P-MIPs can specifically recognize phosphatidylserine on the extracellular vesicle membrane, thereby achieving highly selective enrichment of extracellular vesicles. P-MIPs were synthesized via a reverse microemulsion system. The binding capacity, specificity, and enrichment efficiency of P-MIPs were characterized. SF-exosomes from 6 OA patients and 6 healthy controls were enriched using P-MIPs and analyzed by LC–MS/MS proteomics. Differentially expressed proteins (DEPs) were subjected to bioinformatics analysis. The diagnostic value of hub genes was validated by ROC analysis in an independent cohort. The results showed that the binding capacity (Qmax) of P-MIPs was 129.71 µmol/g, and the cross-reactivity with sphingomyelin (SM), phenylphosphonic acid (PYP), and tyrosine phosphopeptides was less than 3.5%. The purity of enriched SF-exosomes was 82.6%. A total of 40 DEPs were identified, of which 28 were upregulated and 12 were downregulated in OA. PPI network analyses identified 10 hub genes: IL6, IL1B, MYC, CD4, MMP9, PTPRC, CXCL8, PPARG, ICAM1, and STAT3. ROC analysis showed that among the top five hub genes ranked by degree, MYC (AUC = 0.741) and IL6 (AUC = 0.735) exhibited good diagnostic performance. A combined biomarker panel comprising the top five hub genes achieved an even higher diagnostic accuracy, with an AUC of 0.899. The P-MIPs-based SF-exosome enrichment strategy is efficient and selective. MYC and IL6 are potential diagnostic biomarkers for early OA, and the identified DEPs provide insights into OA pathogenesis. Furthermore, this strategy can be extended for the recognition and enrichment of exosomes in other biological fluid matrices, facilitating the discovery of novel disease biomarkers and therapeutic targets.

Graphical abstract

磷脂分子印迹技术分离滑液外泌体及发现骨关节炎早期诊断标志物。
骨关节炎(OA)是老年人慢性疼痛和残疾的主要原因。缺乏敏感的早期OA诊断方法仍然是一个主要的临床挑战。滑液含有携带疾病特异性生物分子的外泌体(sf -外泌体),使其成为早期诊断的有希望的目标。然而,高效分离高纯度的sf外泌体在技术上要求很高。本研究旨在开发基于磷脂酰丝氨酸的分子印迹聚合物(P-MIPs),用于有效富集sf外泌体,并通过蛋白质组学分析发现早期OA诊断的潜在蛋白质生物标志物。P-MIPs可以特异性识别细胞外囊泡膜上的磷脂酰丝氨酸,从而实现细胞外囊泡的高度选择性富集。采用反相微乳液体系合成P-MIPs。对P-MIPs的结合能力、特异性和富集效率进行了表征。使用P-MIPs富集6例OA患者和6例健康对照的sf外泌体,并通过LC-MS/MS蛋白质组学进行分析。差异表达蛋白(DEPs)进行生物信息学分析。通过独立队列的ROC分析验证hub基因的诊断价值。结果表明,P-MIPs的结合能力(Qmax)为129.71µmol/g,与鞘磷脂(SM)、苯基膦酸(PYP)、酪氨酸磷酸肽的交叉反应性均小于3.5%。富集的sf外泌体纯度为82.6%。共鉴定出40个dep,其中28个在OA中上调,12个在OA中下调。PPI网络分析确定了10个枢纽基因:IL6、IL1B、MYC、CD4、MMP9、PTPRC、CXCL8、ppar、ICAM1和STAT3。ROC分析显示,在分级前5位的枢纽基因中,MYC (AUC = 0.741)和IL6 (AUC = 0.735)具有较好的诊断效能。由前5个中心基因组成的联合生物标志物面板获得了更高的诊断准确性,AUC为0.899。基于p - mips的sf外泌体富集策略是高效和选择性的。MYC和IL6是早期OA的潜在诊断生物标志物,确定的dep为OA的发病机制提供了见解。此外,该策略可以扩展到识别和富集其他生物流体基质中的外泌体,促进新的疾病生物标志物和治疗靶点的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Analytical Sciences
Analytical Sciences 化学-分析化学
CiteScore
2.90
自引率
18.80%
发文量
232
审稿时长
1 months
期刊介绍: Analytical Sciences is an international journal published monthly by The Japan Society for Analytical Chemistry. The journal publishes papers on all aspects of the theory and practice of analytical sciences, including fundamental and applied, inorganic and organic, wet chemical and instrumental methods. This publication is supported in part by the Grant-in-Aid for Publication of Scientific Research Result of the Japanese Ministry of Education, Culture, Sports, Science and Technology.
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