DC-SIGN 可将两性霉素 B 脂质体靶向多种致病真菌。

Q1 Agricultural and Biological Sciences
Suresh Ambati, Tuyetnhu Pham, Zachary A Lewis, Xiaorong Lin, Richard B Meagher
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引用次数: 0

摘要

背景:威胁生命的侵袭性真菌感染可通过抗真菌药物(如两性霉素 B(AmB)脂质体)进行治疗。我们在本文中的目标是证明用 C 型凝集素病原体识别受体 DC-SIGN 将脂质体 AmB 靶向真菌细胞可提高抗真菌活性。DC-SIGN 可结合各种富含甘露糖和岩藻糖基的交联聚糖和脂甘露聚糖,这些聚糖和脂甘露聚糖由蠕虫、原生动物、真菌、细菌和病毒病原体表达,其中包括三种最致命的真菌:曲霉、白色念珠菌和新型隐球菌。人类 DC-SIGN 的配体识别由与膜转运和信号序列相连的碳水化合物识别域(CRD)提供。在不同蛋白质异构体中表达的八个颈部重复序列(NR1 至 NR8)的不同组合可能会改变 CRD 的方向,从而增强其与不同糖类的结合:结果:我们制备了两种重组异构体,在异构体 DCS12 中将 CRD 与 NR1 和 NR2 结合,在异构体 DCS78 中将 CRD 与 NR7 和 NR8 结合,并将它们与脂质载体耦合。将这些构建体插入聚乙二醇化 AmB 负载脂质体 AmB-LLs 的膜中,产生 DCS12-AmB-LLs 和 DCS78-AmB-LLs。与 AmB-LLs 和包被牛血清白蛋白的 BSA-AmB-LLs 相比,DCS12-AmB-LLs 和 DCS78-AmB-LLs 能更有效地与烟曲霉、白僵菌和新变形杆菌在体外产生的外多糖基质结合,其中 DCS12-AmB-LLs 的表现优于 DCS78-AmB-LLs。DCS12-AmB-LLs 在体外抑制和/或杀死所有这三种细菌的效果明显优于 AmB-LLs 或 BSA-AmB-LLs。在侵袭性念珠菌病和肺曲霉病的小鼠模型中,低剂量的DCS12-AmB-LLs能显著减少肾脏和肺部的真菌负担,分别是AmB-LLs的数倍:结论:DC-SIGN的CRD可将抗真菌脂质体特异性地靶向三种进化上高度多样化的致病真菌,并增强脂质体AmB在体外和体内的抗真菌功效。靶向作用大大降低了抗真菌药物的有效剂量,可降低药物毒性,有效克服剂量依赖性耐药性,并更有效地杀死顽固细胞。除真菌外,DC-SIGN 靶向脂质体包装抗感染药物还有可能改变不同生物界的各种病原体的治疗模式,包括原生动物、蠕虫、细菌和表达其同源配体的病毒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

DC-SIGN targets amphotericin B-loaded liposomes to diverse pathogenic fungi.

DC-SIGN targets amphotericin B-loaded liposomes to diverse pathogenic fungi.

DC-SIGN targets amphotericin B-loaded liposomes to diverse pathogenic fungi.

DC-SIGN targets amphotericin B-loaded liposomes to diverse pathogenic fungi.

Background: Life-threatening invasive fungal infections are treated with antifungal drugs such as Amphotericin B (AmB) loaded liposomes. Our goal herein was to show that targeting liposomal AmB to fungal cells with the C-type lectin pathogen recognition receptor DC-SIGN improves antifungal activity. DC-SIGN binds variously crosslinked mannose-rich and fucosylated glycans and lipomannans that are expressed by helminth, protist, fungal, bacterial and viral pathogens including three of the most life-threatening fungi, Aspergillus fumigatus, Candida albicans and Cryptococcus neoformans. Ligand recognition by human DC-SIGN is provided by a carbohydrate recognition domain (CRD) linked to the membrane transit and signaling sequences. Different combinations of the eight neck repeats (NR1 to NR8) expressed in different protein isoforms may alter the orientation of the CRD to enhance its binding to different glycans.

Results: We prepared two recombinant isoforms combining the CRD with NR1 and NR2 in isoform DCS12 and with NR7 and NR8 in isoform DCS78 and coupled them to a lipid carrier. These constructs were inserted into the membrane of pegylated AmB loaded liposomes AmB-LLs to produce DCS12-AmB-LLs and DCS78-AmB-LLs. Relative to AmB-LLs and Bovine Serum Albumin coated BSA-AmB-LLs, DCS12-AmB-LLs and DCS78-AmB-LLs bound more efficiently to the exopolysaccharide matrices produced by A. fumigatus, C. albicans and C. neoformans in vitro, with DCS12-AmB-LLs performing better than DCS78-AmB-LLs. DCS12-AmB-LLs inhibited and/or killed all three species in vitro significantly better than AmB-LLs or BSA-AmB-LLs. In mouse models of invasive candidiasis and pulmonary aspergillosis, one low dose of DCS12-AmB-LLs significantly reduced the fungal burden in the kidneys and lungs, respectively, several-fold relative to AmB-LLs.

Conclusions: DC-SIGN's CRD specifically targeted antifungal liposomes to three highly evolutionarily diverse pathogenic fungi and enhanced the antifungal efficacy of liposomal AmB both in vitro and in vivo. Targeting significantly reduced the effective dose of antifungal drug, which may reduce drug toxicity, be effective in overcoming dose dependent drug resistance, and more effectively kill persister cells. In addition to fungi, DC-SIGN targeting of liposomal packaged anti-infectives have the potential to alter treatment paradigms for a wide variety of pathogens from different kingdoms including protozoans, helminths, bacteria, and viruses which express its cognate ligands.

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来源期刊
Fungal Biology and Biotechnology
Fungal Biology and Biotechnology Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
10.20
自引率
0.00%
发文量
17
审稿时长
9 weeks
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