Castañeda-Delgado Julio Enrique, Macias-Segura Noé, Ramos-Remus Cesar
Unidad de Investigación Biomédica de Zacatecas, Instituto Mexicano del Seguro Social, Zacatecas 98000, Mexico.
Cátedras CONACYT, Consejo Nacional de Ciencia y Tecnología, Cd. México 03940, Mexico.
Noncoding RNA. 2022 May 25;8(3):35. doi: 10.3390/ncrna8030035.
Recent advances in gene expression analysis techniques and increased access to technologies such as microarrays, qPCR arrays, and next-generation sequencing, in the last decade, have led to increased awareness of the complexity of the inflammatory responses that lead to pathology. This finding is also the case for rheumatic diseases, importantly and specifically, rheumatoid arthritis (RA). The coincidence in major genetic and epigenetic regulatory events leading to RA's inflammatory state is now well-recognized. Research groups have characterized the gene expression profile of early RA patients and identified a group of miRNAs that is particularly abundant in the early stages of the disease and miRNAs associated with treatment responses. In this perspective, we summarize the current state of RNA-based biomarker discovery and the context of technology adoption/implementation due to the COVID-19 pandemic. These advances have great potential for clinical application and could provide preclinical disease detection, follow-up, treatment targets, and biomarkers for treatment response monitoring.
在过去十年中,基因表达分析技术的最新进展以及对微阵列、qPCR 阵列和下一代测序等技术的更多获取,提高了人们对导致病理的炎症反应复杂性的认识。这一发现对于风湿性疾病,尤其是类风湿关节炎(RA)而言也是如此。导致 RA 炎症状态的主要遗传和表观遗传调控事件之间的巧合现已得到充分认识。研究小组已经描绘了早期 RA 患者的基因表达谱,并确定了一组在疾病早期特别丰富的 miRNAs 以及与治疗反应相关的 miRNAs。从这个角度出发,我们总结了基于 RNA 的生物标志物发现的现状以及由于 COVID-19 大流行而采用/实施技术的背景。这些进展在临床应用方面具有巨大潜力,并可为临床前疾病检测、随访、治疗靶点以及治疗反应监测提供生物标志物。