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“OMICS”时代狼疮肾炎的新型生物标志物

Novel Biomarkers for Lupus Nephritis in the "OMICS" Era.

机构信息

Interdisciplinary Laboratory of Medical Investigation, Faculty of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.

出版信息

Curr Med Chem. 2021;28(29):6011-6044. doi: 10.2174/0929867328666210212102438.

Abstract

Lupus nephritis (LN) is severe renal comorbidity associated with systemic lupus erythematosus (SLE), a complex autoimmune disorder with high morbidity and mortality. Diagnosis and monitoring of LN patients still rely on renal biopsy, a procedure that exposes patients to a variety of risks and is not capable of providing longitudinally information about disease prognosis. In this review, we summarized current data of recent promising biomarkers developed in the precision medicine era, particularly under genomic, transcriptomic, proteomic, and metabolomic techniques. Genome-wide association studies have been evaluating the role of endogenous elements beyond the autoimmunity in LN. Transcriptomic methods, including single-cell sequencing, are potential tools in identifying inflammatory signatures, miRNAs, and gene expression. Proteomic measures, including anti-C1q antibodies, cytokines, TLRs, VCAM-1, NGAL osteopontin, angiostatin, have been considered helpful to provide a more profound comprehension of the disease pathogenic processes. Metabolomic approaches may identify several abnormal metabolite profiles related to the impairment of cellular functions. Together, these accurate, non-invasive, and moderate-cost propedeutic resources may be the novel tools for recognizing, distinguishing, and predicting LN progression and prognosis. Furthermore, omics evaluation may also predict responsiveness to treatment and, consequently, change the way we manage LN cases in the near future.

摘要

狼疮性肾炎(LN)是系统性红斑狼疮(SLE)严重的肾脏并发症,SLE 是一种复杂的自身免疫性疾病,发病率和死亡率均较高。LN 患者的诊断和监测仍依赖于肾活检,该操作会使患者面临多种风险,并且无法提供关于疾病预后的纵向信息。在这篇综述中,我们总结了精准医学时代开发的一些有前途的生物标志物的最新数据,特别是在基因组、转录组、蛋白质组和代谢组学技术方面。全基因组关联研究一直在评估 LN 中自身免疫以外的内源性因素的作用。转录组方法,包括单细胞测序,是识别炎症特征、miRNA 和基因表达的潜在工具。蛋白质组学测量,包括抗 C1q 抗体、细胞因子、TLRs、VCAM-1、NGAL 骨桥蛋白、血管抑素,已被认为有助于更深入地了解疾病的发病机制。代谢组学方法可能会识别出与细胞功能障碍相关的几种异常代谢谱。总之,这些准确、非侵入性且成本适中的辅助资源可能是识别、区分和预测 LN 进展和预后的新工具。此外,组学评估还可能预测对治疗的反应,从而在不久的将来改变我们管理 LN 病例的方式。

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