Evidence map›Paper›PMID 39345910›Full record

ArticleInternational journal of nanomedicine2024

pH-Responsive Block Copolymer Micelles of Temsirolimus: Preparation, Characterization and Antitumor Activity Evaluation.

Ling Wang, Fangqing Cai, Yixuan Li, Xiaolan Lin, Yuting Wang, Weijie Liang, Caiyu Liu, Cunze Wang, Junshan Ruan

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

9 authors.

Ling Wang *School of Pharmacy, Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian Province, People's Republic of China.
Fangqing Cai *School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province, People's Republic of China.
Yixuan Li *School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province, People's Republic of China.
Xiaolan LinSchool of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province, People's Republic of China.
Yuting WangSchool of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province, People's Republic of China.
Weijie LiangSchool of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province, People's Republic of China.
Caiyu LiuSchool of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian Province, People's Republic of China.
Cunze WangSchool of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province, People's Republic of China.
Junshan RuanSchool of Pharmacy, Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Renal cell carcinoma (RCC) is the most common and lethal type of urogenital cancer, with one-third of new cases presenting as metastatic RCC (mRCC), which, being the seventh most common cancer in men and the ninth in women, poses a significant challenge. For patients with poor prognosis, temsirolimus (TEM) has been approved for first-line therapy, possessing pharmacodynamic activities that block cancer cell growth and inhibit proliferation-associated proteins. However, TEM suffers from poor water solubility, low bioavailability, and systemic side effects. This study aims to develop a novel drug formulation for the treatment of RCC. Methods: In this study, amphiphilic block copolymer (poly(ethylene glycol) monomethyl ether-poly(beta-amino ester)) (mPEG-PBAE) was utilized as a drug delivery vehicle and TEM-loaded micelles were prepared by thin-film hydration method by loading TEM inside the nanoparticles. Then, the molecular weight of mPEG-PBAE was controlled to make it realize hydrophobic-hydrophilic transition in the corresponding pH range thereby constructing pH-responsive TEM-loaded micelles. Characterization of pH-responsive TEM-loaded nanomicelles particle size, potential and micromorphology while its determination of drug-loading properties, in vitro release properties. Finally, pharmacodynamics and hepatorenal toxicity were further evaluated. Results: TEM loading in mPEG-PBAE increased the solubility of TEM in water from 2.6 μg/mL to more than 5 mg/mL. The pH-responsive TEM-loaded nanomicelles were in the form of spheres or spheroidal shapes with an average particle size of 43.83 nm and a Zeta potential of 1.79 mV. The entrapment efficiency (EE) of pH-responsive TEM nanomicelles with 12.5% drug loading reached 95.27%. Under the environment of pH 6.7, the TEM was released rapidly within 12 h, and the release rate could reach 73.12% with significant pH-dependent characteristics. In vitro experiments showed that mPEG-PBAE preparation of TEM-loaded micelles had non-hemolytic properties and had significant inhibitory effects on cancer cells. In vivo experiments demonstrated that pH-responsive TEM-loaded micelles had excellent antitumor effects with significantly reduced liver and kidney toxicity. Conclusion: In conclusion, we successfully prepared pH-responsive TEM-loaded micelles. The results showed that pH-responsive TEM-loaded micelles can achieve passive tumor targeting of TEM, and take advantage of the acidic conditions in tumor tissues to achieve rapid drug release.

Indexed as

Antineoplastic AgentsCarcinoma, Renal CellKidney NeoplasmsMicellesPolyethylene GlycolsSirolimusAnimalsCell Line, TumorCell SurvivalDrug CarriersDrug LiberationFemaleHumansHydrogen-Ion ConcentrationMaleMiceAntineoplastic AgentsDrug CarriersMicellesPolyethylene GlycolsSirolimustemsirolimusdrug deliverymPEG-PBAEnanomicellespH-responsiverenal cell carcinoma

Identifiers

PMID39345910
PMCPMC11430863

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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.