Green (Ulva fenestrata) and Brown (Saccharina latissima) Macroalgae Similarly Modulate Inflammatory Signaling by Activating NF-κB and Dampening IRF in Human Macrophage-Like Cells

IF 4.7 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-05-17 DOI:10.1155/2024/8121284
Jennifer Mildenberger, Céline Rebours
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Abstract

Macroalgae are considered healthy food ingredients due to their content in numerous bioactive compounds, and the traditional use of whole macroalgae in Asian cuisine suggests a contribution to longevity. Although much information is available about the bioactivity of pure algal compounds, such as different polyphenols and polysaccharides, documentation of potential effects of whole macroalgae as part of Western diets is limited. Lifestyle- and age-related diseases, which have a high impact on population health, are closely connected to underlying chronic inflammation. Therefore, we have studied crude extracts of green (Ulva fenestrata) and brown (Saccharina latissima) macroalgae, as two of the most promising food macroalgae in the Nordic countries for their effect on inflammation in vitro. Human macrophage-like reporter THP-1 cells were treated with macroalgae extracts and stimulated with lipopolysaccharide (LPS) to induce inflammatory signalling. Effects of the macroalgae extracts were assessed on transcription factor activity of NF-κB and IRF as well as secretion and/or expression of the cytokines TNF-α and IFN-β and chemokines IL-8 and CXCL10. The crude macroalgae extracts were further separated into polyphenol-enriched and polysaccharide-enriched fractions, which were also tested for their effect on transcription factor activity. Interestingly, we observed a selective activation of NF-κB, when cells were treated with macroalgae extracts. On the other hand, pretreatment with macroalgae extracts selectively repressed IRF activation when inflammatory signaling was subsequently induced by LPS. This effect was consistent for both tested species as well as for polyphenol- and polysaccharide-enriched fractions, of which the latter had more pronounced effects. Overall, this is the first indication of how macroalgae could modulate inflammatory signaling by selective activation and subsequent repression of different pathways. Further in vitro and in vivo studies of this mechanism would be needed to understand how macroalgae consumption could influence the prevention of noncommunicable, lifestyle- and age-related diseases that are highly related to unbalanced inflammatory processes.
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绿藻(Ulva fenestrata)和褐藻(Saccharina latissima)同样通过激活 NF-κB 和抑制人巨噬细胞样细胞中的 IRF 来调节炎症信号传导
大型藻类因含有大量生物活性化合物而被认为是健康的食材,亚洲菜肴中使用整只大型藻类的传统也表明它们有助于长寿。虽然关于纯海藻化合物(如不同的多酚和多糖)生物活性的信息很多,但关于整个大型藻类作为西方饮食一部分的潜在影响的文献却很有限。与生活方式和年龄有关的疾病对人们的健康影响很大,这些疾病与潜在的慢性炎症密切相关。因此,我们研究了绿色大型藻类(Ulva fenestrata)和棕色大型藻类(Saccharina latissima)的粗提取物对体外炎症的影响。用大型藻类提取物处理人巨噬细胞样报告细胞 THP-1 并用脂多糖(LPS)刺激,以诱发炎症信号。评估了巨藻提取物对 NF-κB 和 IRF 转录因子活性、细胞因子 TNF-α 和 IFN-β 以及趋化因子 IL-8 和 CXCL10 的分泌和/或表达的影响。大型藻类粗提取物被进一步分离成富含多酚和多糖的馏分,这些馏分也测试了它们对转录因子活性的影响。有趣的是,我们观察到用巨藻提取物处理细胞时,NF-κB 会被选择性激活。另一方面,当 LPS 诱导炎症信号时,用大型藻类提取物进行预处理会选择性地抑制 IRF 的激活。这种效应对两种受测物种以及多酚和多糖富集部分都是一致的,其中多糖富集部分的效应更为明显。总之,这是首次表明大型藻类如何通过选择性激活和随后抑制不同途径来调节炎症信号。要了解食用大型藻类如何影响非传染性、与生活方式和年龄有关的疾病的预防(这些疾病与不平衡的炎症过程高度相关),还需要对这一机制进行进一步的体外和体内研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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