Evidence map›Paper›PMID 42732404›Full record

ArticleInternational journal of nanomedicine2026

cRGD-Targeted Nanoparticles Co-Loaded with Ag, Quercetin and PD-L1 siRNA with Combined Antibacterial and Immunotherapeutic Functions Against

Jing Zhang, Xiaoqiang Kong, Xiangping Wu, Dongyun Tao, Xiang Li, Huimin Cheng

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jing ZhangKey Laboratory of Modern Preparation of TCM, Ministry of Education, National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330004, People's Republic of China.ORCID 0000-0002-6313-5741
Xiaoqiang KongKey Laboratory of Modern Preparation of TCM, Ministry of Education, National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330004, People's Republic of China.
Xiangping WuKey Laboratory of Modern Preparation of TCM, Ministry of Education, National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330004, People's Republic of China.
Dongyun TaoKey Laboratory of Modern Preparation of TCM, Ministry of Education, National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330004, People's Republic of China.
Xiang LiKey Laboratory of Modern Preparation of TCM, Ministry of Education, National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330004, People's Republic of China.ORCID 0000-0003-1526-6103
Huimin ChengKey Laboratory of Modern Preparation of TCM, Ministry of Education, National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330004, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Triple-negative breast cancer (TNBC) is an aggressive malignancy with poor prognosis, and Methods: The morphology, particle size, surface metal elements, drug content and QUE entrapment efficiency of Ag@GQDs/QUE-siP-c-L were obtained using particle size analysis, SEM, inductively coupled plasma-optical emission spectrometry (ICP-OES) and HPLC. We further detected cellular uptake, in vitro drug release, cytotoxicity, intracellular reactive oxygen species level, PD-L1 gene silencing efficiency and in vitro anti-Fn activity. Pharmacokinetics and tissue distribution of Ag and QUE were analyzed by ICP-OES and LC-MS/MS, and in vivo antitumor efficacy and biosafety were tested in Fn-colonized orthotopic 4T1 tumor mice. Results: Ag@GQDs/QUE-siP-c-L exhibited uniform spherical morphology (195.87± 15.96 nm) with high encapsulation of QUE. cRGD modification enhanced Ag/QUE cellular uptake in 4T1 cells, with pH-responsive release accelerated under tumor acidic conditions. The nanoparticles exhibited selective tumor cytotoxicity, induced oxidative stress, downregulated PD-L1 mRNA, and exerted potent anti-Fn activity in vitro. Pharmacokinetics revealed increased AUC Conclusion: Ag@GQDs/QUE-siP-c-L serves as a multimodal nanoplatform for

Indexed as

Anti-Bacterial AgentsB7-H1 AntigenMetal NanoparticlesQuercetinRNA, Small InterferingSilverTriple Negative Breast NeoplasmsAnimalsAntineoplastic AgentsCell Line, TumorFemaleFusobacterium InfectionsFusobacterium nucleatumHumansImmunotherapyMiceAnti-Bacterial AgentsAntineoplastic AgentsB7-H1 AntigenCD274 protein, humanQuercetinRNA, Small InterferingSilverbreast cancercombined therapyFusobacterium nucleatumPD-L1 siRNAquercetinsilver nanoparticles

Identifiers

PMID42732404
PMCPMC13570629

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.