银屑病中的MicroRNA生物标志物。

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Shikha Singh, Medha Rajappa
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引用次数: 0

摘要

牛皮癣是一种t辅助介导的慢性炎症性自身免疫性皮肤病,在世界范围内具有重要的社会经济负担。不幸的是,病因和潜在的病理生理尚不清楚。虽然一些生物制剂已经大大改善了治疗,但复发是常见的。确定可靠的早期诊断、预后和治疗反应的生物标志物仍然是重大挑战。基因组学技术的进步使得包括微小rna在内的生物标志物的发现有了新的途径。由于这些小的非编码RNA分子在牛皮癣的免疫过滤、角质细胞增殖、细胞凋亡和炎症途径中发挥调节作用,它们已成为有希望的生物标志物。这篇综述结合了银屑病中mirna的预后和诊断潜力的证据,并强调了它们在银屑病病变和循环中的表达谱改变。特异性mirna,如miR-21、miR-31、miR-99a、miR-146a、miR-125b,以及miR-203、miR-138、miR-155在发病机制中的作用,以及它们与疾病严重程度、治疗反应和合并症的关系。此外,miRNA分析与先进组学技术和机器学习的集成为开发预测算法提供了框架。这篇综述巩固了mirna在指导个性化治疗策略和监测治疗效果方面的潜力。未来的研究重点是标准化基于miRNA的检测,将miRNA特征与其他组学方法结合起来,以提高治疗效果,并探索其机制作用,这可能为其作为疾病管理中可靠的生物标志物的临床转化铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MicroRNA biomarkers in psoriasis.

Psoriasis, a T-helper mediated chronic inflammatory autoimmune skin disease, has significant socioeconomic burden worldwide. Unfortunately, etiology and underlying pathophysiology remains unclear. Although several biologics have substantially improved therapy, recurrence is common. The identification of reliable biomarkers for early diagnosis, prognosis, and therapeutic response remain significant challenges. Advances in omic technologies has enabled new approaches in biomarker discovery including microRNAs. These small non-coding RNA molecules that have emerged as promising biomarkers due to their regulatory roles in immune filtration, keratinocyte proliferation, apoptosis and inflammatory pathways in psoriasis. This review unites evidence on the prognostic and diagnostic potential of miRNAs in psoriasis and highlighting their altered expression profiles in psoriatic lesions and circulation. Specific miRNAs, such as miR-21, miR-31, miR-99a, miR-146a, miR-125b, and miR-203, miR-138, miR-155 in pathogenesis are explored as well as their association with disease severity, treatment response, and comorbidities. Furthermore, the integration of miRNA profiling with advanced omics technologies and machine learning provides a framework for developing predictive algorithms. The review consolidates the potential of miRNAs to guide personalized treatment strategies and their utility in monitoring therapeutic efficacy. Future research focusing on standardizing miRNA-based assays, integrating miRNA signatures with other omics approaches to enhance therapeutic outcomes and exploring their mechanistic roles may pave the way for their clinical translation as reliable biomarkers in management of disease.

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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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