Evidence map›Paper›PMID 39635359›Full record

ArticleRSC advances2024

A pH-responsive dual-network biopolysaccharide hydrogel with enhanced self-healing and controlled drug release properties.

Yuan Ma, Yunfeng Tang, Jianwei Fan, Tianyu Sun, Xiaoyong Qiu, Luxing Wei, Xiaolai Zhang

Abstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

7 authors.

Yuan MaSchool of Chemistry and Chemical Engineering, Shandong University Jinan 250100 China zhangxlai@sdu.edu.cn.
Yunfeng TangLunan Pharmaceutical Group Co., Ltd. Linyi 273400 China.
Jianwei FanLunan Pharmaceutical Group Co., Ltd. Linyi 273400 China.
Tianyu SunJinan Children's Hospital Jinan 250022 China.
Xiaoyong QiuSchool of Chemistry and Chemical Engineering, Shandong University Jinan 250100 China zhangxlai@sdu.edu.cn.ORCID https://orcid.org/0000-0003-0292-2263
Luxing WeiKey Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engineering and Advanced Medical Research Institute, Shandong University Jinan Shandong 250061 China.
Xiaolai ZhangSchool of Chemistry and Chemical Engineering, Shandong University Jinan 250100 China zhangxlai@sdu.edu.cn.ORCID https://orcid.org/0000-0002-8607-6801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional hydrogels based on Schiff base reactions frequently encounter issues with rapid drug release when employed as drug delivery systems owing to their susceptibility to hydrolysis under acidic conditions. It is, therefore, necessary to implement improvements to regulate the drug release behavior. In this study, a dual-network and pH-responsive biopolysaccharide hydrogel was developed, which is self-healing, injectable and biocompatible. Most importantly, the hydrogel has excellent tunability for controlled drug release. The hydrogel consisted of a primary network of dibenzaldehyde-functionalized poly(ethylene glycol) (DP) and chitosan (CS) formed through a Schiff base reaction and a secondary network of sodium alginate (SA) and CS formed through electrostatic interactions. It was found that the DP-CS-2%SA hydrogel can prolong the release duration up to four-fold compared to the single-network DP-CS hydrogel at a given release threshold. Significantly, by adjusting the relationship between the two effects through the amount of SA, the release modifiability of drug delivery systems has been greatly enhanced. This study could significantly enhance the tunability of hydrogel drug delivery systems.

Identifiers

PMID39635359
PMCPMC11615656

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Registered trials

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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.