Real-time in vivo visualization of tumor therapy by a near-infrared-II Ag2S quantum dot-based theranostic nanoplatform

治疗学的功效的实时、客观的反馈将具有为肿瘤处理的大价值。这里，我们报导聪明的 Ag <潜水艇class=“ a-plus-plus ”> 2 S 基于QD 的 theranostic nanoplatform ( DOX@PEG-Ag <潜水艇class=“ a-plus-plus ”> 2 S )由把反癌症药 doxorubicin (纪录影片)装进聚乙烯获得了乙二醇涂的银硫化物量点( PEG-Ag <潜水艇class=“ a-plus-plus “> 2 S QD )通过恐水病恐水病的相互作用，展出了装载能力的高药，到 Ag 的纪录影片的 93 wt.%<潜水艇class=” a-plus-plus “> 2 S QD )，在血的长循环( t <潜水艇class=” a-plus-plus “在指向肿瘤组织以后，从 PEG-Ag 的纪录影片 < 潜水艇 class= “ a-plus-plus ” > 2 S 货物有选择地并且很快被释放进癌症房间，产生重要肿瘤抑制。由于深织物穿入和 Ag 的高时间空间的分辨率<潜水艇class=“ a-plus-plus ”> 2 在第二扇在红外线附近的窗户( NIR-II )中的 S QD 荧光， DOX@PEG-Ag <潜水艇class=“ a-plus-plus ”> 2 在了解指向过程和治疗学的功效的药的 vivo 即时的启用的 S 。我们期望那如此的新奇 theranostic nanoplatform， DOX@PEG-Ag < 潜水艇 class= “ a-plus-plus ” > 2 与综合的药交货，治疗和评价功能， S 将为肿瘤的个性化的治疗是高度有用的。

Real-time and objective feedback of therapeutic efficacies would be of great value for tumor treatment. Here, we report a smart Ag2S QD-based theranostic nanoplatform （DOX@PEG-Ag2S） obtained by loading the anti-cancer drug doxorubicin （DOX） into polyethylene glycol-coated silver sulfide quantum dots （PEG-Ag2S QDs） through hydrophobic-hydrophobic interactions, which exhibited high drug loading capability （93 wt.% of DOX to Ag2S QDs）, long circulation in blood （t1/2 = 10.3 h）, and high passive tumor-targeting efficiency （8.9% ID/gram） in living mice where % ID/gram reflects the probe concentration in terms of the percentage of the injected dose （ID） per gram of tissue. After targeting the tumor tissue, DOX from PEG-AgRS cargoes was selectively and rapidly released into cancer cells, giving rise to a significant tumor inhibition. Owing to the deep tissue penetration and high spatio-temporal resolution of Ag2S QDs fluorescence in the second near-infrared window （NIR-II）, the DOX@PEG-Ag2S enabled real-time in vivo reading of the drug targeting process and therapeutic efficacy. We expect that such a novel theranostic nanoplatform, DOX@PEG-Ag2S, with integrated drug delivery, therapy and assessment functionalities, will be highly useful for personalized treatments of tumors.