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Record W7048579021

Lipid-Coated Ag@MnO2 Core-Shell Nanoparticles for Co-Delivery of Survivin siRNA in Breast Tumor Therapy

2025· article· en· W7048579021 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsCanadian Bank Note Company (Canada)
Fundersnot available
KeywordsChristian ministrySurvivinNational standardMedical prescriptionIn vitroTraditional Chinese medicine
DOInot available

Abstract

fetched live from OpenAlex

Jing Zhang,1,2 Min Zha,1 Shanghua Xiao,1 Nina Filipczak,3 Satya Siva Kishan Yalamarty,4 Xiangping Wu,1 Chenkai Gong,1 Xiang Li1 1Key Laboratory of Modern Preparation of TCM, Ministry of Education, National Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330004, People’s Republic of China; 2Jiangzhong Pharmaceutical Co. Ltd, Nanchang, Jiangxi, 330049, People’s Republic of China; 3Center for Pharmaceutical Biotechnology and Nanomedicine, Northeastern University, Boston, MA, 02115, USA; 4Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USACorrespondence: Xiang Li, Key Laboratory of Modern Preparation of TCM, Ministry of Education, National Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, Jiangxi University of Chinese Medicine, Meiling Road 1688, Xinjian District, Nanchang, Jiangxi, 330004, People’s Republic of China, Tel/Fax +86 79187119661, Email xiang.li@jxutcm.edu.cnObjective: Nanoparticles constructed with silver/manganese dioxide (Ag@MnO2) as the core, in conjunction with survivin siRNA (sis) and cyclo(RGD-DPhe-K) (Ag@MnO2-sis-c-L), were prepared for integrated tumor diagnosis and therapy.Methods: Ag@MnO2-sis-c-L particles were prepared and characterized. The silver and manganese content were determined by inductively coupled plasma optical emission spectroscopy (ICP-OES). The stability of sis in the system was evaluated by incubation with 50% FBS before the agarose gel electrophoresis experiment. The in vitro photothermal conversion ability, cytotoxicity to 4T1 cells, and cellular uptake of preparations were evaluated. The dialysis technique was employed to determine the in vitro release profile of Ag and Mn from Ag@MnO2-sis-c-L under various pH conditions. The pharmacokinetic behavior and tissue distribution of silver in vivo were detected by ICP-OES. Animal model experiments were conducted to further evaluate the anti-tumor efficacy of Ag@MnO2-sis-c-L against breast cancer in combination with infrared irradiation.Results: Our newly synthesized Ag@MnO2-sis-c-L nanoparticles displayed superior physicochemical properties. The combined application of these nanoparticles with photothermal therapy (PTT) exerted the strongest synergistic inhibitory effects on tumor growth. Survivin protein expression in tumor tissues were markedly suppressed following delivery of nanoparticles loaded with sis. Additionally, magnetic resonance imaging revealed the high imaging capability of hybrid nanoparticles.Conclusion: This study supports the potential utility of Ag@MnO2-sis-c-L coupled with PTT in therapeutic and diagnostic imaging applications.Keywords: survivin siRNA, breast cancer, photothermal therapy, Ag@MnO2, combination therapy

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.175
GPT teacher head0.520
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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