Targeted and Self-Adjuvated Nanoglycovaccine Candidate for Cancer Immunotherapy

佐剂 癌症免疫疗法 免疫疗法 免疫系统 抗原 PLGA公司 癌症 癌细胞 体内 生物 癌症研究 化学 免疫学 体外 生物化学 生物技术 遗传学
作者
Rui Freitas,Eduardo Ferreira,Andréia Miranda,Dylan Ferreira,Marta Relvas‐Santos,Flávia Castro,Beatriz Santos,Martina Gonçalves,Sofia Torres Quintas,Andreia Peixoto,Carlos Palmeira,André M. N. Silva,Lúcio Lara Santos,Maria José Oliveira,Bruno Sarmento,José Alexandre Ferreira
出处
期刊:ACS Nano [American Chemical Society]
卷期号:18 (14): 10088-10103 被引量:2
标识
DOI:10.1021/acsnano.3c12487
摘要

Advanced-stage solid primary tumors and metastases often express mucin 16 (MUC16), carrying immature glycans such as the Tn antigen, resulting in specific glycoproteoforms not found in healthy human tissues. This presents a valuable approach for designing targeted therapeutics, including cancer glycovaccines, which could potentially promote antigen recognition and foster the immune response to control disease spread and prevent relapse. In this study, we describe an adjuvant-free poly(lactic-co-glycolic acid) (PLGA)-based nanoglycoantigen delivery approach that outperforms conventional methods by eliminating the need for protein carriers while exhibiting targeted and adjuvant properties. To achieve this, we synthesized a library of MUC16-Tn glycoepitopes through single-pot enzymatic glycosylation, which were then stably engrafted onto the surface of PLGA nanoparticles, generating multivalent constructs that better represent cancer molecular heterogeneity. These glycoconstructs demonstrated affinity for Macrophage Galactose-type Lectin (MGL) receptor, known to be highly expressed by immature antigen-presenting cells, enabling precise targeting of immune cells. Moreover, the glycopeptide-grafted nanovaccine candidate displayed minimal cytotoxicity and induced the activation of dendritic cells in vitro, even in the absence of an adjuvant. In vivo, the formulated nanovaccine candidate was also nontoxic and elicited the production of IgG specifically targeting MUC16 and MUC16-Tn glycoproteoforms in cancer cells and tumors, offering potential for precise cancer targeting, including targeted immunotherapies.

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
jason完成签到 ,获得积分10
刚刚
1秒前
科研通AI6.4的应助被zyy采纳,获得30
1秒前
传奇3的应助被quhongxu采纳,获得10
1秒前
banxia002完成签到,获得积分10
3秒前
3秒前
peterlaa3完成签到,获得积分10
3秒前
4秒前
传奇3的应助被888采纳,获得10
5秒前
tuanheqi发布了新的文献求助20
6秒前
zhaiyi发布了新的文献求助10
7秒前
7秒前
8秒前
Serena发布了新的文献求助10
8秒前
10秒前
thq发布了新的文献求助10
10秒前
CodeCraft的应助被空大的石头人采纳,获得10
10秒前
852的应助被xm采纳,获得10
11秒前
澄钰羽完成签到,获得积分10
12秒前
zhaiyi完成签到,获得积分10
13秒前
共产主义战士的应助被饱满鞅采纳,获得10
15秒前
15秒前
15秒前
why发布了新的文献求助10
16秒前
阿布完成签到,获得积分10
16秒前
Sober完成签到,获得积分10
18秒前
19秒前
衣锦夜行发布了新的文献求助10
20秒前
22秒前
Lemontree完成签到,获得积分10
23秒前
小陈同学发布了新的文献求助10
25秒前
喜悦荧发布了新的文献求助30
27秒前
DSPOHO完成签到 ,获得积分10
28秒前
28秒前
科研通AI6.2的应助被明朝采纳,获得10
30秒前
惠惠子发布了新的文献求助10
30秒前
之昂发布了新的文献求助10
32秒前
33秒前
万佳俊发布了新的文献求助10
33秒前
34秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
The Student's Guide to Social Neuroscience 800
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Production Logging: Theoretical and Interpretive Elements 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7813911
求助须知:如何正确求助?哪些是违规求助? 9344395
关于积分的说明 20522831
捐赠科研通 7406796
什么是DOI,文献DOI怎么找? 3330582
关于科研通互助平台的介绍 2477198
邀请新用户注册赠送积分活动 2350216