MiR-146/TNF-α/IL-6/osteocalcin crosstalk in anti-rheumatic potential of Galleria mellonella hemolymph from computational molecular modeling to in-vivo validation

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Sara M. Ahmed, Elham Ali, Amina R. Ali, Mona A. Mohamed, Hemmat Mansour Abdelhafez, Alya Mashaal
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引用次数: 0

Abstract

Rheumatoid arthritis (RA) is an inflammatory autoimmune illness that persistently and recurrently affects joints. In RA, miR-146a functions as a key regulator, modulating inflammation by targeting and downregulating cytokines that promote inflammation, such as TNF-α and IL-6, whereas osteocalcin, a bone metabolism marker, plays a role in bone remodeling and joint health. The interplay between these molecules significantly influences RA progression and severity by balancing inflammation and bone integrity. Conventional antirheumatic drugs often cause varying levels of side effects. As sustainable development initiatives grow, insects are gaining interest as sustainable food sources and potential medicinal agents. Notably, the increasing Galleria mellonella (G. mellonella) population has raised concerns about the spread of honeybee viruses, affects bee products and food security, and drives economic losses in the therapeutic market. Accordingly, hemolymph has crucial defensive and immunological effects in insects and has recently been investigated as an immunomodulatory agent in parasitic in-vitro and in-vivo rat models. This work was designed to elucidate the potential immunomodulatory impact of G. mellonella hemolymph on the crosstalk between miR-146a, IL-6, TNF-α, and osteocalcin in the context of RA, utilizing both computational molecular modeling and in-vivo validation. Computer-aided molecular simulation for immune and RA mediators is applied through specific cell annotation, targeted pathways, and in-silico protein‒protein and gene‒gene interactions with a gene relative-tissue expression heatmap, which is based on gas chromatographic‒mass spectrometric analysis of hemolymph. Our study is the first to adapt a preliminary test to optimize hemolymph dosing and toxicity. The rats were subsequently divided into four groups: healthy control, Freund’s adjuvant-induced arthritis (utilized as a model that mimics human RA), methotrexate-treated arthritis, and hemolymph-treated arthritis groups. Our findings indicate that hemolymph contains valuable active compounds that have anti-inflammatory and antioxidant potential, increasing the impact of recovery on diseased joints in comparison with the arthritic and methotrexate groups. This is the first report investigating the maximum inhibition rate of G. mellonella hemolymph as an immunomodulatory and anti-inflammatory agent in an arthritic model.

Graphical abstract

从计算分子模型到体内验证,MiR-146/TNF-α/IL-6/骨钙素串扰在mellonella血淋巴抗风湿病潜能中的作用
类风湿性关节炎(RA)是一种持续和反复影响关节的炎症性自身免疫性疾病。在RA中,miR-146a作为关键调节因子,通过靶向和下调促进炎症的细胞因子(如TNF-α和IL-6)来调节炎症,而骨钙素(一种骨代谢标志物)在骨重塑和关节健康中发挥作用。这些分子之间的相互作用通过平衡炎症和骨完整性显著影响RA的进展和严重程度。传统的抗风湿药通常会引起不同程度的副作用。随着可持续发展倡议的发展,昆虫作为可持续的食物来源和潜在的医药制剂正引起人们的兴趣。值得注意的是,越来越多的mellonella (G. mellonella)种群引起了人们对蜜蜂病毒传播的担忧,影响了蜜蜂产品和粮食安全,并造成了治疗市场的经济损失。因此,血淋巴在昆虫中具有重要的防御和免疫作用,最近在体外和体内寄生大鼠模型中作为免疫调节剂进行了研究。本研究旨在通过计算分子模型和体内验证,阐明在RA背景下,mellonella血淋巴对miR-146a、IL-6、TNF-α和骨钙素之间的串导的潜在免疫调节作用。免疫和RA介质的计算机辅助分子模拟通过特定的细胞注释、靶向途径、与基因相对组织表达热图的硅蛋白-蛋白和基因-基因相互作用来应用,这是基于血淋巴的气相色谱-质谱分析。我们的研究首次采用初步试验来优化血淋巴剂量和毒性。随后,这些大鼠被分为四组:健康对照组、弗氏佐剂诱导的关节炎(用作模拟人类类风湿性关节炎的模型)、甲氨蝶呤治疗的关节炎和血淋巴治疗的关节炎组。我们的研究结果表明,与关节炎组和甲氨蝶呤组相比,血淋巴含有有价值的活性化合物,具有抗炎和抗氧化的潜力,增加了对患病关节恢复的影响。这是第一个研究大黄蜂血淋巴作为一种免疫调节和抗炎剂在关节炎模型中的最大抑制率的报告。图形抽象
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来源期刊
Journal of Computer-Aided Molecular Design
Journal of Computer-Aided Molecular Design 生物-计算机:跨学科应用
CiteScore
8.00
自引率
8.60%
发文量
56
审稿时长
3 months
期刊介绍: The Journal of Computer-Aided Molecular Design provides a form for disseminating information on both the theory and the application of computer-based methods in the analysis and design of molecules. The scope of the journal encompasses papers which report new and original research and applications in the following areas: - theoretical chemistry; - computational chemistry; - computer and molecular graphics; - molecular modeling; - protein engineering; - drug design; - expert systems; - general structure-property relationships; - molecular dynamics; - chemical database development and usage.
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