MicroRNAs (miRNAs) play a crucial role in the early diagnosis of autoinflammatory diseases, with Hidradenitis Suppurativa (HS) being a notable example. HS, an autoinflammatory skin disease affecting the pilosebaceous unit, profoundly impacts patients’ quality of life. Its hidden nature, with insidious initial symptoms and patient reluctance to seek medical consultation, often leads to a diagnostic delay of up to 7 years. Recognizing the urgency for early diagnostic tools, recent research identified significant differences in circulating miRNA expression, including miR-24-1-5p, miR-146a-5p, miR26a-5p, miR-206, miR338-3p, and miR-338-5p, between HS patients and healthy controls. These miRNAs serve as potential biomarkers for earlier disease detection. Traditional molecular biology techniques, like reverse transcription quantitative-polymerase chain reaction (RT-qPCR), are employed for their detection using specific primers and probes. Alternatively, short peptides offer a versatile and effective means for capturing miRNAs, providing specificity, ease of synthesis, stability, and multiplexing potential. In this context, we present a computational simulation pipeline designed for crafting peptide sequences that can capture circulating miRNAs in the blood of patients with autoinflammatory skin diseases, including HS. This innovative approach aims to expedite early diagnosis and enhance therapeutic follow-up, addressing the critical need for timely intervention in HS and similar conditions.

中文翻译：

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自身炎症性皮肤病中循环 MicroRNA 的生物传感：关注化脓性汗腺炎

MicroRNA (miRNA) 在自身炎症性疾病的早期诊断中发挥着至关重要的作用，化脓性汗腺炎 (HS) 就是一个显着的例子。 HS 是一种影响毛囊皮脂腺单位的自身炎症性皮肤病，深刻影响患者的生活质量。其隐蔽性、初始症状隐匿且患者不愿就医，常常导致诊断延迟长达 7 年。认识到早期诊断工具的紧迫性，最近的研究发现循环 miRNA 表达存在显着差异，包括 miR-24-1-5p、miR-146a-5p、miR26a-5p、miR-206、miR338-3p 和 miR-338- 5p，热射病患者和健康对照之间。这些 miRNA 可作为早期疾病检测的潜在生物标志物。传统的分子生物学技术，如逆转录定量聚合酶链反应 (RT-qPCR)，使用特定的引物和探针进行检测。或者，短肽提供了一种捕获 miRNA 的通用且有效的方法，具有特异性、易于合成、稳定性和多重潜力。在这种背景下，我们提出了一个计算模拟管道，设计用于制作肽序列，该序列可以捕获患有自身炎症性皮肤病（包括 HS）的患者血液中的循环 miRNA。这种创新方法旨在加快早期诊断并加强治疗随访，满足热射病和类似病症及时干预的迫切需求。