Lim Yun, Kang Tae Kyeom, Kim Meong Il, Kim Dohyeon, Kim Ji Yul, Jung Sang Hoon, Park Keunwan, Lee Wook-Bin, Seo Moon-Hyeong
Natural Product Research Center, Korea Institute of Science and Technology, Gangneung, 25451, Republic of Korea.
Natural Product Informatics Research Center, Korea Institute of Science and Technology, Gangneung, 25451, Republic of Korea.
Adv Sci (Weinh). 2025 Jan;12(1):e2406018. doi: 10.1002/advs.202406018. Epub 2024 Oct 31.
Toll-like receptors (TLRs) are critical regulators of the immune system, and altered TLR responses lead to a variety of inflammatory diseases. Interference of intracellular TLR signaling, which is mediated by multiple Toll/interleukin-1 receptor (TIR) domains on all TLRs and TLR adapters, is an effective therapeutic strategy against immune dysregulation. Peptides that inhibit TIR-TIR interactions by fragmenting interface residues have potential as therapeutic decoys. However, a systematic method for discovering TIR-targeting moieties has been elusive, limiting exploration of the vast, unsequenced space of the TIR domain family. A comprehensive parallel screening method is developed to uncover novel TIR-binding peptides derived from previously unexplored surfaces on a wide range of TIR domains. A large peptide library is constructed, named TIR surfacesome, by tiling surface sequences of the large TIR domain family and screening against MAL and MyD88, TIRs of two major TLR adaptor proteins, resulting in the discovery of hundreds of TIR-binding peptides. The selected peptides inhibited TLR signaling and demonstrated anti-inflammatory effects in macrophages, and therapeutic potential in mouse inflammatory models. This approach may facilitate the development of TLR-targeted therapeutics.
Toll样受体(TLRs)是免疫系统的关键调节因子,TLR反应改变会导致多种炎症性疾病。细胞内TLR信号传导由所有TLR和TLR衔接蛋白上的多个Toll/白细胞介素-1受体(TIR)结构域介导,干扰这种信号传导是对抗免疫失调的一种有效治疗策略。通过切割界面残基来抑制TIR-TIR相互作用的肽具有作为治疗诱饵的潜力。然而,一种发现靶向TIR的部分的系统方法一直难以捉摸,这限制了对TIR结构域家族中大量未测序空间的探索。开发了一种全面的平行筛选方法,以发现源自广泛TIR结构域上以前未探索表面的新型TIR结合肽。通过平铺大TIR结构域家族的表面序列并针对两种主要TLR衔接蛋白的TIR,即MAL和MyD88进行筛选,构建了一个名为TIR表面体的大肽库,从而发现了数百种TIR结合肽。所选肽抑制TLR信号传导,并在巨噬细胞中显示出抗炎作用以及在小鼠炎症模型中的治疗潜力。这种方法可能有助于开发针对TLR的治疗药物。