Laboratory for Cell Systems, Institute for Protein Research, Osaka University, Suita, Osaka 565-0871, Japan.
Basic Research Development Division, ROHTO Pharmaceutical Co., Ltd., Ikuno-ku, Osaka 544-8666, Japan.
Biochem J. 2022 Jan 28;479(2):161-183. doi: 10.1042/BCJ20210547.
The nuclear factor-κB (NF-κB) signaling pathway is one of the most well-studied pathways related to inflammation, and its involvement in aging has attracted considerable attention. As aging is a complex phenomenon and is the result of a multi-step process, the involvement of the NF-κB pathway in aging remains unclear. To elucidate the role of NF-κB in the regulation of aging, different systems biology approaches have been employed. A multi-omics data-driven approach can be used to interpret and clarify unknown mechanisms but cannot generate mechanistic regulatory structures alone. In contrast, combining this approach with a mathematical modeling approach can identify the mechanistics of the phenomena of interest. The development of single-cell technologies has also helped clarify the heterogeneity of the NF-κB response and underlying mechanisms. Here, we review advances in the understanding of the regulation of aging by NF-κB by focusing on omics approaches, single-cell analysis, and mathematical modeling of the NF-κB network.
核因子-κB（NF-κB）信号通路是与炎症相关的研究最深入的通路之一，其与衰老的关系引起了广泛关注。由于衰老现象复杂，是多步骤过程的结果，NF-κB 通路在衰老中的参与仍不清楚。为了阐明 NF-κB 在衰老调控中的作用，已经采用了不同的系统生物学方法。多组学数据驱动方法可用于解释和阐明未知机制，但不能单独产生机制调节结构。相比之下，将这种方法与数学建模方法相结合，可以识别出感兴趣现象的机制。单细胞技术的发展也有助于阐明 NF-κB 反应的异质性及其潜在机制。在这里，我们通过关注 NF-κB 网络的组学方法、单细胞分析和数学建模，综述了对 NF-κB 调控衰老的理解进展。
