Evidence map›Paper›PMID 39452610›Full record

ArticleJournal of functional biomaterials2024

A pH-Responsive Ti-Based Local Drug Delivery System for Osteosarcoma Therapy.

Qinle Xiao, Changjun Wan, Zhe Zhang, Hui Liu, Pingting Liu, Qianli Huang, Dapeng Zhao

Abstract read
In one paragraph

Article in Journal of functional biomaterials, 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
  2. Review
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

7 authors.

Qinle XiaoCollege of Biology, Hunan University, Changsha 410082, China.
Changjun WanCollege of Biology, Hunan University, Changsha 410082, China.
Zhe ZhangCollege of Biology, Hunan University, Changsha 410082, China.
Hui LiuCollege of Biology, Hunan University, Changsha 410082, China.
Pingting LiuCollege of Biology, Hunan University, Changsha 410082, China.
Qianli HuangState Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China.
Dapeng ZhaoCollege of Biology, Hunan University, Changsha 410082, China.ORCID 0000-0001-6777-7760

Funding

Excellent Youth Project of Hunan Province in China 2023JJ20067Key Research and Development Program of Hunan Province in China 2023SK2011National Natural Science Foundation of China 52171114
6 · The paper itself

Abstract

Osteosarcoma is one of the major bone cancers, especially for youngsters. The current treatment usually requires systemic chemotherapy and the removal of bone tumors. Titanium (Ti)-based implants can be modified as local drug delivery (LDD) systems for controllable and localized chemotherapeutic drug release. In this work, a pH-responsive Ti-based LDD prototype was designed by introducing polydopamine (PDA) to release doxorubicin (DOX) around osteosarcoma cells with low pH. Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and a contact angle meter were applied for surface characterization. Both direct and indirect cell culture modes were performed for biocompatibility and biofunction assessments. The results indicate that the Ti-based LDD prototype exhibits significant pH-dependent DOX release. The cumulative release can reach up to approximately 40% at pH = 6.0 after 72 h, but only around 20% at pH = 7.4. The Ti-based LDD implant shows good biocompatibility with approximately 93% viability of MC3T3 cells after direct culture in vitro for 24 h. Both direct and indirect culture modes verify the good anti-osteosarcoma function of the LDD implant, which should be attributed to the pH-responsive release of DOX.

Indexed as

local drug deliveryosteosarcomapH-responsive drug releasetitanium implant

Identifiers

PMID39452610
PMCPMC11508615

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.