Evidence map›Paper›PMID 40092651›Full record

ArticleBiomaterials research2025

Hydrogen Peroxide-Releasing Hydrogel-Mediated Cellular Senescence Model for Aging Research.

Shibo Wei, Phuong Le Thi, Yan Zhang, Moon-Young Park, Khanh Do, Thi Thai Thanh Hoang, Nyssa Morgan, Tam Dao, Jimin Heo, Yunju Jo and 6 more

Abstract read
In one paragraph

Article in Biomaterials research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

16 authors.

Shibo WeiDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.ORCID https://orcid.org/0000-0001-9283-9804
Phuong Le ThiInstitute of Applied Materials Science, Vietnam Academy of Science and Technology, Ho Chi Minh City 700000, Vietnam.ORCID https://orcid.org/0009-0002-8776-2667
Yan ZhangDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.ORCID https://orcid.org/0009-0009-3955-0310
Moon-Young ParkDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
Khanh DoDepartment of Intelligent Precision Healthcare Convergence, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea.ORCID https://orcid.org/0000-0001-5483-4914
Thi Thai Thanh HoangDepartment of Orthopaedics, Emory Musculoskeletal Institute, Emory University School of Medicine, Atlanta, GA, USA.ORCID https://orcid.org/0000-0002-2245-9029
Nyssa MorganDepartment of Orthopaedics, Emory Musculoskeletal Institute, Emory University School of Medicine, Atlanta, GA, USA.ORCID https://orcid.org/0009-0006-4779-0742
Tam DaoDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.ORCID https://orcid.org/0000-0001-6611-0497
Jimin HeoDepartment of Medicinal Chemistry and Pharmacology, University of Science and Technology, Daejeon 34113, Republic of Korea.
Yunju JoDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.ORCID https://orcid.org/0000-0002-6305-3324
You Jung KangDepartment of Intelligent Precision Healthcare Convergence, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea.
Hansang ChoDepartment of Intelligent Precision Healthcare Convergence, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea.ORCID https://orcid.org/0000-0003-1829-2462
Chang-Myung OhDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.ORCID https://orcid.org/0000-0001-6681-4478
Young C JangDepartment of Orthopaedics, Emory Musculoskeletal Institute, Emory University School of Medicine, Atlanta, GA, USA.ORCID https://orcid.org/0000-0002-9489-2104
Ki-Dong ParkDepartment of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea.ORCID https://orcid.org/0000-0002-4825-6609
Dongryeol RyuDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.ORCID https://orcid.org/0000-0001-5905-6760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular senescence, a process that induces irreversible cell cycle arrest in response to diverse stressors, is a primary contributor to aging and age-related diseases. Currently, exposure to hydrogen peroxide is a widely used technique for establishing in vitro cellular senescence models; however, this traditional method is inconsistent, laborious, and ineffective in vivo. To overcome these limitations, we have developed a hydrogen peroxide-releasing hydrogel that can readily and controllably induce senescence in conventional 2-dimensional cell cultures as well as advanced 3-dimensional microphysiological systems. Notably, we have established 2 platforms using our hydrogen peroxide-releasing hydrogel for investigating senolytics, which is a promising innovation in anti-geronic therapy. Conclusively, our advanced model presents a highly promising tool that offers a simple, versatile, convenient, effective, and highly adaptable technique for inducing cellular senescence. This innovation not only lays a crucial foundation for future research on aging but also markedly accelerates the development of novel therapeutic strategies targeting age-related diseases.

Identifiers

PMID40092651
PMCPMC11907071

What OpenQuestion 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 OpenQuestion graph.