疥疮患者组织和循环中的 IL-17A 和 FoxP3+ 水平:与临床特征的相关性

IF 1.4 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular and biochemical parasitology Pub Date : 2024-08-27 DOI:10.1016/j.molbiopara.2024.111652
Amira M. Matar , Wafaa A. Shehata , Mona A. Kora , Sawsan S. Shendi
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引用次数: 0

摘要

众所周知,疥螨会诱发复杂的免疫反应,其中包括先天性免疫和长期适应性免疫。许多免疫效应因子和途径都参与其中。Th17/Treg 平衡可影响对疥疮的复杂免疫反应。包括促炎细胞因子 IL-17A 和抗炎调节性 T 细胞在内的免疫效应因子对维持皮肤免疫平衡至关重要。因此,评估这些免疫效应因子可能有助于理解疥疮的病理生理学,并促进新治疗方法的开发。本研究检测了 50 名疥疮患者和 25 名健康对照者的皮肤和血清中 IL-17A 和 FoxP3+ 的表达。研究还评估了它们与临床特征的相关性。在组织反应方面,与对照组相比,疥疮患者表皮和真皮中 IL-17A 和 FoxP3+ 的表达明显增加(P<0.001),但这两个因子之间的相关性在两个区域均不显著(P>0.05)。此外,与对照组相比,患者的血清 IL-17A 水平明显升高(P<0.001),血清 IL-17A 水平与皮损严重程度有显著相关性,但皮肤和血清反应之间无显著相关性(P>0.05)。总之,在疥疮患者的皮肤中,IL-17A 和 FoxP3+ 的表达均有所增加,其中 FoxP3+ 的含量明显高于 IL-17A。皮肤 FoxP3+ 的上调与疥疮的严重程度有关。
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Tissue and circulating levels of IL-17A and FoxP3+ in patients with scabies: Correlation with clinical features

The scabies mite is known to induce a complicated immune response that involves both innate and long-term adaptive immunity. Many immune effectors and pathways are involved. Th17/Treg balance can influence the complex immune response to scabies. The immunological effectors including IL-17A, as a pro-inflammatory cytokine, and Treg cells, anti-inflammatory regulatory T cells, are essential for preserving cutaneous immunological homeostasis. So, evaluating these immune effectors may help in comprehending the pathophysiology of scabies and facilitate the development of new treatment approaches. This study examined the expression of IL-17A and FoxP3+ in the skin and serum of 50 scabies patients and 25 healthy controls. An assessment of their correlation with clinical features was performed. Regarding tissue response, scabietic patients exhibited a significant increase in IL-17A and FoxP3+ expression in their epidermis and dermis compared to controls (P<0.001), but the correlation between these factors was not significant in either area (P>0.05). Also, patients showed a significant increase in serum IL-17A levels compared to controls (P<0.001), with a significant association between serum IL-17A levels and lesion severity, but no significant correlation was observed between skin and serum responses (P>0.05). In conclusion, there was increased expression of both IL-17A and FoxP3+, with FoxP3+ being significantly more abundant than IL-17A in the skin of scabies patients. Skin FoxP3+ up-regulation has been linked to the severity of the condition.

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来源期刊
CiteScore
2.90
自引率
0.00%
发文量
51
审稿时长
63 days
期刊介绍: The journal provides a medium for rapid publication of investigations of the molecular biology and biochemistry of parasitic protozoa and helminths and their interactions with both the definitive and intermediate host. The main subject areas covered are: • the structure, biosynthesis, degradation, properties and function of DNA, RNA, proteins, lipids, carbohydrates and small molecular-weight substances • intermediary metabolism and bioenergetics • drug target characterization and the mode of action of antiparasitic drugs • molecular and biochemical aspects of membrane structure and function • host-parasite relationships that focus on the parasite, particularly as related to specific parasite molecules. • analysis of genes and genome structure, function and expression • analysis of variation in parasite populations relevant to genetic exchange, pathogenesis, drug and vaccine target characterization, and drug resistance. • parasite protein trafficking, organelle biogenesis, and cellular structure especially with reference to the roles of specific molecules • parasite programmed cell death, development, and cell division at the molecular level.
期刊最新文献
Characterization of two phosphatase 2C domain-containing proteins PPM2A and PPM2B in Toxoplasma gondii. Diversification of sphingolipid synthase activities in kinetoplastid protozoa Biophysical analysis of the membrane-proximal Venus Flytrap domain of ESAG4 receptor-like adenylate cyclase from Trypanosoma brucei Tissue and circulating levels of IL-17A and FoxP3+ in patients with scabies: Correlation with clinical features Using machine learning to dissect host kinases required for Leishmania internalization and development
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