Evidence map›Paper›PMID 40938521›Full record

ReviewDrug delivery and translational research2025

Application and development prospects of bio-based smart responsive hydrogels in insulin delivery.

Huijuan Su, Xiaolian Chen, Dongyi Huang, Tingting Huang, Weiju Liao, Runfang Deng, Xingzhen Huang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drug delivery and translational research, 2025. 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. Article
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.

Huijuan SuSchool of Pharmacy, Guangxi Medical University, Nanning, 530000, Guangxi, PR China.
Xiaolian ChenSchool of Pharmacy, Guangxi Medical University, Nanning, 530000, Guangxi, PR China.
Dongyi HuangSchool of Pharmacy, Guangxi Medical University, Nanning, 530000, Guangxi, PR China.
Tingting HuangSchool of Pharmacy, Guangxi Medical University, Nanning, 530000, Guangxi, PR China.
Weiju LiaoSchool of Pharmacy, Guangxi Medical University, Nanning, 530000, Guangxi, PR China.
Runfang DengSchool of Pharmacy, Guangxi Medical University, Nanning, 530000, Guangxi, PR China.
Xingzhen HuangSchool of Pharmacy, Guangxi Medical University, Nanning, 530000, Guangxi, PR China. huangxingzhen@gxmu.edu.cn.ORCID 0000-0003-4779-0807

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing prevalence of diabetes has made insulin formulations a cornerstone in the management of the disease. However, traditional insulin delivery methods, such as subcutaneous and intravenous injections, face several challenges, including the need for frequent administration, insulin resistance, and the risk of hypoglycemia. This review examines the use of hydrogels in insulin delivery, with focus on recent advancements in the precise control of insulin release through smart response mechanisms, including pH, glucose, and temperature. The crosslinking methods and polymer compositions of hydrogels are pivotal in enhancing their biocompatibility, mechanical properties, and release regulation. Moreover, composite systems incorporating various carriers, such as nanoparticles, liposomes, and microneedles, offer significant improvements in insulin loading capacity and stable release profiles. The review also explores the potential applications of bioinspired designs and machine learning techniques in optimizing hydrogel material properties, reducing the cost of production, and enhancing the safety and efficacy of insulin delivery. Hydrogels have tremendous development space in drug delivery systems, but they face translational challenges. Through analyzing the storage, scale production and regulatory hurdles of hydrogels, this review offers some exploratory solutions. These strategies aim to promote the clinical application of insulin hydrogels and provide safer and more effective treatment options for patients with diabetes.

Indexed as

Drug Delivery SystemsHydrogelsHypoglycemic AgentsInsulinAnimalsDiabetes MellitusDrug LiberationHumansHydrogen-Ion ConcentrationHydrogelsHypoglycemic AgentsInsulinClinical translationComposite drug carriersInsulin deliveryMachine learning optimizationMulti-responsive mechanismsSmart hydrogels

Identifiers

What Socratic holds

Textmetadata
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.