Anti-eczema Mechanism of Action of Nigella sativa for Atopic Dermatitis: Computer-aided Prediction and Pathway Analysis Based on Protein-chemical Interaction Networks

Meidyta Sinantryana Widyaswari, Iis Noventi, Herdiantri Supriyana
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引用次数: 3

Abstract

Introduction: Black cumin (Nigella sativa) is widely used to treat various diseases. It is also believed to relief skin conditions accompanied by itching symptom, such as atopic dermatitis (AD) or eczema. However, the anti-eczema mechanism of action is still unclear. The aims of this syudy was to  identify anti-eczema mechanism of action of N. sativa for AD using computer aided prediction and pathway analysis based on protein-chemical networks. Methods: We utilized dataset consisting chemical compounds of N. sativa from KNApSAcK. It is a comprehensive species-metabolite relationship database. Using canonical SMILES strings that encode molecular structures of each compound, we predicted the probabilities of activity (Pa) for anti-eczema effect based on PASS algorithms. The compounds with Pa >0.7 were included for pathway analysis based on protein-chemical interaction networks in STITCH database. We selected interactomes built by experimental data, gene co-expression, closest gene position, fusion, co-occurence, computational prediction, and other secondary data. Results: Thirty-five active compounds of N. sativa have been utilized and 19 of them have potential anti-eczema effects. Oleic acid and lauric acid were predicted with Pa-value of 0.947 and 0.920 for anti-eczema effect, respectively. However, only lauric acid was confirmed having a plausible mechanism of action via LY96-TLR4- PIK3R1 pathway for lipopolysaccharide receptor activity (false discovery rate [FDR] = 0.0243) and low-density lipoprotein particle receptor binding (FDR = 0.0118). Conclusion: Lauric acid in N. sativa has potential antieczema effect to prevent relaps in AD patients by controlling opportunistic bacterial infection that aggravates itching symptom in this condition.
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黑皮草治疗特应性皮炎的抗湿疹机制:基于蛋白质-化学相互作用网络的计算机辅助预测和途径分析
简介:黑孜然(Nigella sativa)被广泛用于治疗各种疾病。它也被认为可以缓解伴随瘙痒症状的皮肤状况,如特应性皮炎(AD)或湿疹。然而,其抗湿疹作用机制尚不清楚。本研究的目的是利用计算机辅助预测和基于蛋白质化学网络的途径分析来确定油菜对AD的抗湿疹作用机制。方法:利用来自KNApSAcK的sativa化学成分数据集。这是一个综合性的物种-代谢物关系数据库。利用编码每种化合物分子结构的规范SMILES字符串,我们预测了基于PASS算法的抗湿疹作用的活性概率(Pa)。将Pa >0.7的化合物纳入STITCH数据库的蛋白-化学相互作用网络进行通路分析。我们根据实验数据、基因共表达、最接近的基因位置、融合、共发生、计算预测和其他次要数据选择相互作用组。结果:利用了35种活性化合物,其中19种具有潜在的抗湿疹作用。预测油酸和月桂酸抗湿疹作用的pa值分别为0.947和0.920。然而,只有月桂酸被证实通过LY96-TLR4- PIK3R1途径对脂多糖受体活性(假发现率[FDR] = 0.0243)和低密度脂蛋白颗粒受体结合(FDR = 0.0118)具有合理的作用机制。结论:芥蓝月桂酸具有潜在的抗湿疹作用,可通过控制AD患者加重瘙痒症状的机会性细菌感染,预防AD患者复发。
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