IgA肾病和狼疮性肾炎的肾和尿细胞转录组学:一个叙述性的回顾

NDT Plus Pub Date : 2023-11-09 DOI:10.1093/ckj/sfad121
Francesco P Schena, Samantha Chiurlia, Daniela I Abbrescia, Sharon N Cox
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摘要

摘要:本文综述了转录组学在免疫球蛋白A肾病(IgAN)或狼疮性肾炎(LN)患者肾活检和尿细胞样本分析中的应用。通过光镜、免疫荧光和电子显微镜检查肾活检的传统方法为诊断和预后提供了有价值的临床信息,但转录组学可以解决一些局限性。最近的一些研究报道,肾脏转录组学发现了新的分子生物标志物,这些标志物与肾脏疾病中循环免疫复合物沉积诱导的炎症过程有关。此外,应用于尿细胞的转录组学反映了肾脏中发生的炎症过程。这意味着我们可以在临床实践中研究尿细胞转录组学来诊断炎症过程的阶段。此外,尿细胞的转录组学可用于患者随访期间的治疗决策,以避免第二次肾活检的压力。本综述分析的研究有明显的局限性。生物标志物已在一小部分患者队列中被发现,但没有一个在独立的外部队列中得到验证。为了准确和完整的验证,需要在大量患者中进行进一步的前瞻性研究。只有这样,这些生物标志物才能广泛应用于临床实践。
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Kidney and urine cell transcriptomics in IgA nephropathy and lupus nephritis: a narrative review
Abstract This narrative review shed light on the use of transcriptomics in the analysis of kidney biopsies and urinary cell samples from patients with immunoglobulin A nephropathy (IgAN) or lupus nephritis (LN). The conventional methods of examining kidney biopsy through light microscopy, immunofluorescence and electron microscopy provide valuable clinical information for diagnosis and prognosis but have some limitations that transcriptomics can address. Some recent studies have reported that kidney transcriptomics has uncovered new molecular biomarkers implicated in the inflammatory process induced by the deposition of circulating immune complexes in the investigated kidney diseases. In addition, transcriptomics applied to urinary cells mirrors the inflammatory process that occurs in the kidney. This means that we can study urinary cell transcriptomics in clinical practice to diagnose the stage of the inflammatory process. Furthermore, the transcriptomics of urinary cells can be used to make therapy decisions during patient follow-up to avoid the stress of a second kidney biopsy. The studies analyzed in this review have a significant limitation. Biomarkers have been identified in small cohorts of patients but none of them have been validated in independent external cohorts. Further prospective studies in large cohorts of patients are necessary for accurate and complete validation. Only after that these biomarkers can be widely used in clinical practice.
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