控制病原性炎症的网络方法

C. Ezerzer, R. Margalit, I. Cohen
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引用次数: 2

摘要

异常炎症似乎是自身免疫性疾病和其他有害炎症条件的致病因素,其中炎症过程被误用、夸大、复发或慢性。参与致病性炎症相关蛋白(DAP)的蛋白分子(包括趋化因子、细胞因子、生长因子及其受体)表现正常;他们的互动网络有问题。在这里,我们展示了一种基于不同趋化因子受体的第二细胞外环(ECL2)共享的肽序列基序的炎症网络调节的新方法;以前已知的趋化因子受体结合位点不涉及ECL2环。我们通过序列比对检测到的这9个氨基酸的基序,与略有修改的序列变异相比,其e值非常低,表明它们不太可能是偶然进化的。为了测试这种共享序列网络(SSN)是否具有调节功能,我们从三种不同趋化因子受体的ECL2环中合成了9个氨基酸的SSN肽。我们在自身免疫性关节炎模型的诱导过程中给予大鼠这些肽。其中两种多肽显著下调关节炎;其中一种多肽与地塞米松非特异性抗炎治疗协同作用。这些发现表明,这里报道的SSN肽基序可能在控制炎症方面具有适应性价值。此外,SSN基序肽的检测可以提供一种基于网络的免疫调节方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A network approach to controlling pathogenic inflammation
Aberrant inflammation appears to be a pathogenic factor in autoimmune diseases and other noxious inflammatory conditions in which the inflammatory process is misapplied, exaggerated, recurrent or chronic. The protein molecules involved in pathogenic inflammation—disease-associated proteins (DAP)—which include chemokines, cytokines, and growth factors and their receptors, appear normal; their networks of interaction are at fault. Here we demonstrate a new approach to network regulation of inflammation based on peptide sequence motifs shared by the second extra-cellular loop (ECL2) of different chemokine receptors; previously known chemokine receptor binding sites have not involved the ECL2 loop. These motifs of 9 amino acids, which we detected by sequence alignment, manifest very low E-values compared with slightly modified sequence variations, indicating that they were not likely to have evolved by chance. To test whether this shared sequence network (SSN) might serve a regulatory function, we synthesized 9-amino acid SSN peptides from the ECL2 loops of three different chemokine receptors. We administered these peptides to rats during the induction of a model of autoimmune arthritis. Two of the peptides significantly downregulated the arthritis; one of the peptides synergized with non-specific anti-inflammatory treatment with dexamethasone. These findings suggest that the SSN peptide motif reported here is likely to have adaptive value in controlling inflammation. Moreover, detection of SSN motif peptides could provide a network-based approach to immune modulation.
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