Evidence map›Paper›PMID 37848181›Full record

ReviewMacromolecular bioscience2024

Smart Hydrogels for Tissue Regeneration.

Chaoming Xie, Jie Xu, Xinyi Wang, Shengxi Jiang, Yujia Zheng, Zexin Liu, Zhuo Jia, Zhanrong Jia, Xiong Lu

Abstract readReview
In one paragraph

Review in Macromolecular bioscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. 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

9 authors.

Chaoming XieInstitute of Biomedical Engineering, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China.ORCID https://orcid.org/0000-0002-6916-675X
Jie XuInstitute of Biomedical Engineering, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China.
Xinyi WangInstitute of Biomedical Engineering, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China.
Shengxi JiangInstitute of Biomedical Engineering, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China.
Yujia ZhengInstitute of Biomedical Engineering, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China.
Zexin LiuInstitute of Biomedical Engineering, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China.
Zhuo JiaInstitute of Biomedical Engineering, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China.
Zhanrong JiaThe Tenth Affiliated Hospital of Southern Medical University, Dongguan, Guangdong, 523000, China.
Xiong LuInstitute of Biomedical Engineering, College of Medicine, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China.ORCID https://orcid.org/0000-0001-6367-430X

Funding

Fundamental Research Funds for the Central Universities 2682023ZTPY056Guangdong Basic and Applied Basic Research Foundation 2021B1515120019National Natural Science Foundation of China 32201075National Natural Science Foundation of China 82072071National Natural Science Foundation of China 82072073New Interdisciplinary Cultivation Funds of Southwest Jiaotong University 2682022KJ041New Interdisciplinary Cultivation Funds of Southwest Jiaotong University 2682023JX005Shenzhen Funds of the Central Government to Guide Local Scientific and Technological Development 2021SZVUP123Sichuan Province Science and Technology Support Program 2022YFS0040Sichuan Science and Technology Program 2022YFS0040
6 · The paper itself

Abstract

The rapid growth in the portion of the aging population has led to a consequent increase in demand for biomedical hydrogels, together with an assortment of challenges that need to be overcome in this field. Smart hydrogels can autonomously sense and respond to the physiological/pathological changes of the tissue microenvironment and continuously adapt the response according to the dynamic spatiotemporal shifts in conditions. This along with other favorable properties, make smart hydrogels excellent materials for employing toward improving the precision of treatment for age-related diseases. The key factor during the smart hydrogel design is on accurately identifying the characteristics of natural tissues and faithfully replicating the composition, structure, and biological functions of these tissues at the molecular level. Such hydrogels can accurately sense distinct physiological and external factors such as temperature and biologically active molecules, so they may in turn actively and promptly adjust their response, by regulating their own biological effects, thereby promoting damaged tissue repair. This review summarizes the design strategies employed in the creation of smart hydrogels, their response mechanisms, as well as their applications in field of tissue engineering; and concludes by briefly discussing the relevant challenges and future prospects.

Indexed as

HydrogelsTissue EngineeringTemperatureWound HealingHydrogelssmart hydrogelsstimulus-responsive hydrogelstissue regeneration

Identifiers

PMID37848181
PMCPMC13420765

What OpenQuestion 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 OpenQuestion graph.