Suppr超能文献

RTX黏附素具有三个配体结合结构域,这使该细菌有可能黏附并聚集多种细胞类型。

RTX adhesin has three ligand-binding domains that give the bacterium the potential to adhere to and aggregate a wide variety of cell types.

作者信息

Ye Qilu, Eves Robert, Vance Tyler D R, Hansen Thomas, Sage Adam P, Petkovic Andrea, Bradley Brianna, Escobedo Carlos, Graham Laurie A, Allingham John S, Davies Peter L

机构信息

Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada.

Department of Chemical Engineering, Queen's University, Kingston, Ontario, Canada.

出版信息

mBio. 2025 May 14;16(5):e0315824. doi: 10.1128/mbio.03158-24. Epub 2025 Apr 17.

Abstract

Bacteria often make initial contact with their hosts through the ligand-binding domains of large adhesin proteins. Recent analyses of repeats-in-toxin (RTX) adhesins in Gram-negative bacteria suggest that ligand-binding domains can be identified by the way they emerge from "split" domains within the adhesin. Here, using this criterion and an AlphaFold3 model of a 5047-residue RTX adhesin from we identified three different ligand-binding domains in this fibrillar protein. The crystal structures of the two novel domains were solved to 1.4 and 1.95 Å resolution, respectively, and demonstrate excellent agreement with their modeled structures. The other domain was recognized as a carbohydrate-binding module based on its beta-strand topology and confirmed by its micromolar affinity for fucosylated glycans, including the Lewis B and Y antigens. This lectin-like module, which was recombinantly produced with its companion split domain and nearby extender domain, bound to a wide variety of cells including yeasts, diatoms, erythrocytes, and human endothelial cells. In each case, 50 mM free fucose prevented this binding and may offer some protection from infection. The carbohydrate-binding module with its neighboring domains also caused aggregation of yeast and erythrocytes, which was again blocked by the addition of free fucose. The second putative ligand-binding domain has a beta-roll structure supported by a parallel alpha-helix, and the third is a homolog of a von Willebrand Factor A domain. These two domains bind to a more limited range of cell types, and their ligands have yet to be identified.IMPORTANCECharacterizing the ligand-binding domains of fibrillar adhesins is important for understanding how bacteria can colonize host surfaces and how this colonization might be blocked. Here, we show that the opportunistic pathogen, , uses a carbohydrate-binding module (CBM) to attach to several different cell types. The CBM is one of three ligand-binding domains at the distal tip of the adhesin. Identifying the glycans bound by the CBM as Lewis B and Y antigens has helped explain the range of cell types that the bacterium will bind and colonize, and it has suggested sugars that might interfere with these processes. Indeed, fucose, which is a constituent of the Lewis B and Y antigens, is effective at 50 mM concentrations in blocking the attachment of the CBM to host cells. This will lead to the design of more effective inhibitors against bacterial infections.

摘要

细菌通常通过大型粘附素蛋白的配体结合结构域与宿主进行初次接触。最近对革兰氏阴性菌中重复毒素(RTX)粘附素的分析表明,配体结合结构域可以通过它们在粘附素内从“分裂”结构域中出现的方式来识别。在这里,利用这一标准以及来自[具体来源未提及]的一个含有5047个残基的RTX粘附素的AlphaFold3模型,我们在这种纤维状蛋白中鉴定出了三个不同的配体结合结构域。这两个新结构域的晶体结构分别解析到了1.4 Å和1.95 Å的分辨率,并且与它们的模型结构显示出极好的一致性。另一个结构域基于其β链拓扑结构被识别为碳水化合物结合模块,并通过其对岩藻糖基化聚糖(包括Lewis B和Y抗原)的微摩尔亲和力得到证实。这个类似凝集素的模块与其相伴的分裂结构域和附近的延伸结构域一起重组产生,它能与多种细胞结合,包括酵母、硅藻、红细胞和人内皮细胞。在每种情况下,50 mM的游离岩藻糖会阻止这种结合,并且可能为预防感染提供一些保护。带有其相邻结构域的碳水化合物结合模块也会导致酵母和红细胞聚集,而游离岩藻糖的添加同样会阻止这种聚集。第二个假定的配体结合结构域具有由平行α螺旋支撑的β滚结构,第三个是血管性血友病因子A结构域的同源物。这两个结构域结合的细胞类型范围更有限,并且它们的配体尚未被鉴定出来。

重要性

表征纤维状粘附素的配体结合结构域对于理解细菌如何在宿主表面定殖以及如何阻止这种定殖至关重要。在这里,我们表明机会致病菌[具体菌名未提及]利用一个碳水化合物结合模块(CBM)来附着于几种不同的细胞类型。该CBM是粘附素远端尖端的三个配体结合结构域之一。将CBM结合的聚糖鉴定为Lewis B和Y抗原有助于解释该细菌会结合并定殖的细胞类型范围,并且提示了可能干扰这些过程的糖类。实际上,作为Lewis B和Y抗原成分的岩藻糖在50 mM浓度下可有效阻止CBM与宿主细胞的附着。这将导向设计出更有效的抗细菌感染抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/078d/12077191/7f0d280f91fa/mbio.03158-24.f001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验