Cancer cell membrane-coated bacterial ghosts for highly efficient paclitaxel delivery against metastatic lung cancer

肺癌 医学 紫杉醇 癌症研究 免疫疗法 免疫系统 化疗 癌症 转移性乳腺癌 电穿孔 癌细胞 肺癌的治疗 免疫学 药理学 乳腺癌 内科学 化学 生物化学 基因
作者
Dandan Ling,Xueli Jia,Ke Wang,Qiucheng Yan,Bochuan Yuan,Lina Du,Miao Li,Yiguang Jin
出处
期刊:Acta Pharmaceutica Sinica B [Elsevier BV]
卷期号:14 (1): 365-377
标识
DOI:10.1016/j.apsb.2023.08.012
摘要

Chemotherapy is one of the major approaches for the treatment of metastatic lung cancer, although it is limited by the low tumor delivery efficacy of anticancer drugs. Bacterial therapy is emerging for cancer treatment due to its high immune stimulation effect; however, excessively generated immunogenicity will cause serious inflammatory response syndrome. Here, we prepared cancer cell membrane-coated liposomal paclitaxel-loaded bacterial ghosts (LP@BG@CCM) by layer-by-layer encapsulation for the treatment of metastatic lung cancer. The preparation processes were simple, only involving film formation, electroporation, and pore extrusion. LP@BG@CCM owned much higher 4T1 cancer cell toxicity than LP@BG due to its faster fusion with cancer cells. In the 4T1 breast cancer metastatic lung cancer mouse models, the remarkably higher lung targeting of intravenously injected LP@BG@CCM was observed with the almost normalized lung appearance, the reduced lung weight, the clear lung tissue structure, and the enhanced cancer cell apoptosis compared to its precursors. Moreover, several major immune factors were improved after administration of LP@BG@CCM, including the CD4+/CD8a+ T cells in the spleen and the TNF-α, IFN-γ, and IL-4 in the lung. LP@BG@CCM exhibits the optimal synergistic chemo-immunotherapy, which is a promising medication for the treatment of metastatic lung cancer.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
宓之云发布了新的文献求助10
1秒前
1秒前
风果然是风完成签到 ,获得积分10
3秒前
7秒前
7秒前
9秒前
科研通AI6.2应助andrew12399采纳,获得10
9秒前
宇宙拿铁完成签到 ,获得积分10
11秒前
pluto应助大方研究生采纳,获得10
12秒前
13秒前
自由自在发布了新的文献求助10
13秒前
英姑应助清脆寻梅采纳,获得10
13秒前
隐形曼青应助烧鸭饭采纳,获得10
13秒前
13秒前
ggg发布了新的文献求助10
14秒前
15秒前
pcwang完成签到,获得积分10
15秒前
lemon发布了新的文献求助10
16秒前
章鱼烧完成签到 ,获得积分10
16秒前
洁净雨发布了新的文献求助10
17秒前
19秒前
Hychic完成签到 ,获得积分10
19秒前
共享精神应助缥缈的青雪采纳,获得30
19秒前
归途发布了新的文献求助10
19秒前
skyziy完成签到,获得积分10
19秒前
充电宝应助小小采纳,获得10
21秒前
痞老板应助achovy采纳,获得10
21秒前
无花果应助ggg采纳,获得10
25秒前
25秒前
华仔应助Tomice采纳,获得10
25秒前
大力的又菡完成签到,获得积分10
26秒前
yaa完成签到 ,获得积分10
26秒前
科研通AI2S应助洁净雨采纳,获得10
27秒前
27秒前
归途完成签到,获得积分10
27秒前
28秒前
隐形曼青应助可靠的寒风采纳,获得10
28秒前
29秒前
分风吹完成签到 ,获得积分10
30秒前
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Brittle Fracture in Welded Ships 500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5940265
求助须知:如何正确求助?哪些是违规求助? 7054649
关于积分的说明 15882184
捐赠科研通 5070493
什么是DOI,文献DOI怎么找? 2727405
邀请新用户注册赠送积分活动 1685888
关于科研通互助平台的介绍 1612873