Sunset Yellow protects against oxidative damage and exhibits chemoprevention in chemically induced skin cancer model.

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Saurabh Singh, Sarika Yadav, Celine Cavallo, Durgesh Mourya, Ishu Singh, Vijay Kumar, Sachin Shukla, Pallavi Shukla, Romil Chaudhary, Gyan Prakash Maurya, Ronja Lea Jennifer Müller, Lilly Rohde, Aradhana Mishra, Olaf Wolkenhauer, Shailendra Gupta, Anurag Tripathi
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Abstract

Skin cancer and other skin-related inflammatory pathologies are rising due to heightened exposure to environmental pollutants and carcinogens. In this context, natural products and repurposed compounds hold promise as novel therapeutic and preventive agents. Strengthening the skin's antioxidant defense mechanisms is pivotal in neutralizing reactive oxygen species (ROS) and mitigating oxidative stress. Sunset Yellow (SY) exhibits immunomodulatory characteristics, evidenced by its capacity to partially inhibit the secretion of proinflammatory cytokines, regulate immune cell populations, and modulate the activation of lymphocytes. This study aimed to investigate the antioxidant and anti-genotoxic properties of SY using in-silico, in vitro, and physiochemical test systems, and to further explore its potential role in 7,12-dimethylbenz(a) anthracene (DMBA)/ 12-o-tetradecanoylphorbol-13-acetate (TPA)-induced two-stage skin carcinogenesis. In vitro experiments showed that pre-treatment of SY significantly enhanced the cell viability of HaCaT cells when exposed to tertiary-Butyl Hydrogen Peroxide (tBHP). This increase was accompanied by reduced ROS levels, restoration of mitochondrial membrane potential, and notable reduction in DNA damage in (SY + tBHP) treated cells. Mechanistic investigations using DPPH chemical antioxidant activity test and potentiometric titrations confirmed SY's antioxidant properties, with a standard reduction potential ( E o ) of 0.211 V. Remarkably, evaluating the effect of topical application of SY in DMBA/TPA-induced two-step skin carcinogenesis model revealed dose-dependent decreases in tumor latency, incidence, yield, and burden over 21-weeks. Furthermore, computational analysis and experimental validations identified GSK3β, KEAP1 and EGFR as putative molecular targets of SY. Collectively, our findings reveal that SY enhances cellular antioxidant defenses, exhibits anti-genotoxic effects, and functions as a promising chemopreventive agent.

Abstract Image

日落黄可防止氧化损伤,并在化学诱导的皮肤癌模型中显示出化学预防作用。
由于接触环境污染物和致癌物质的机会增多,皮肤癌和其他与皮肤相关的炎症性病变也在不断增加。在这种情况下,天然产品和再利用化合物有望成为新型治疗和预防药物。加强皮肤的抗氧化防御机制对于中和活性氧(ROS)和减轻氧化应激至关重要。日落黄(SY)具有免疫调节特性,这体现在它能部分抑制促炎细胞因子的分泌、调节免疫细胞群和调节淋巴细胞的活化。本研究旨在利用硅学、体外和理化测试系统研究 SY 的抗氧化和抗遗传毒性特性,并进一步探讨其在 7,12 二甲基苯并(a)蒽(DMBA)/ 12-o- 十四碳酰樟脑酚-13-乙酸酯(TPA)诱导的两阶段皮肤癌中的潜在作用。体外实验表明,当 HaCaT 细胞暴露于叔丁基过氧化氢(tBHP)时,SY 的预处理可显著提高其细胞活力。这种提高伴随着 ROS 水平的降低、线粒体膜电位的恢复,以及(SY + tBHP)处理细胞 DNA 损伤的明显减少。使用 DPPH 化学抗氧化活性测试和电位滴定法进行的机理研究证实了 SY 的抗氧化特性,其标准还原电位(E o)为 0.211 V。值得注意的是,在 DMBA/TPA 诱导的两步皮肤癌模型中,对局部应用 SY 的效果进行了评估,结果显示,在 21 周内,肿瘤的潜伏期、发病率、产量和负荷均呈剂量依赖性下降。此外,计算分析和实验验证确定了 GSK3β、KEAP1 和表皮生长因子受体为 SY 的假定分子靶点。总之,我们的研究结果表明,SY 能增强细胞的抗氧化防御能力,具有抗遗传毒性作用,是一种很有前途的化学预防剂。
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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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