Evidence map›Paper›PMID 37076933›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

3D-Printed Functional Hydrogel by DNA-Induced Biomineralization for Accelerated Diabetic Wound Healing.

Nahyun Kim, Hyun Lee, Ginam Han, Minho Kang, Sinwoo Park, Dong Eung Kim, Minyoung Lee, Moon-Jo Kim, Yuhyun Na, SeKwon Oh and 6 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
12.8field-weighted citation impact, top 1% of its field
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

51 citing papers in PubMed, 127 citations in OpenAlex.

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  6. Ionic-Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

16 authors at 5 institutions in 3 countries.

Nahyun KimDepartment of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon, 14662, Republic of Korea.
Hyun LeeDepartment of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon, 14662, Republic of Korea.
Ginam HanDepartment of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon, 14662, Republic of Korea.
Minho KangDepartment of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon, 14662, Republic of Korea.
Sinwoo ParkDepartment of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon, 14662, Republic of Korea.
Dong Eung KimResearch Institute of Advanced Manufacturing & Materials Technology, Korea Institute of Industrial Technology, Incheon, 21999, Republic of Korea.
Minyoung LeeSchool of Chemical and Biological Engineering, and Institute of Chemical Processes (ICP), Seoul National University, Seoul, 08826, Republic of Korea.
Moon-Jo KimResearch Institute of Advanced Manufacturing & Materials Technology, Korea Institute of Industrial Technology, Incheon, 21999, Republic of Korea.
Yuhyun NaDepartment of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon, 14662, Republic of Korea.
SeKwon OhResearch Institute of Advanced Manufacturing & Materials Technology, Korea Institute of Industrial Technology, Incheon, 21999, Republic of Korea.
Seo-Jun BangDepartment of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon, 14662, Republic of Korea.
Tae-Sik JangDepartment of Materials Science and Engineering, Chosun University, Gwangju, 61452, Republic of Korea.
Hyoun-Ee KimDepartment of Materials Science and Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
Jungwon ParkSchool of Chemical and Biological Engineering, and Institute of Chemical Processes (ICP), Seoul National University, Seoul, 08826, Republic of Korea.
Su Ryon ShinDivision of Engineering in Medicine, Department of Medicine, Harvard Medical School, and Brigham and Women's Hospital, Cambridge, MA, 02139, USA.
Hyun-Do JungDepartment of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon, 14662, Republic of Korea.ORCID 0000-0001-8632-7431
Catholic University of Korea · KRKorea Institute of Industrial Technology · KRSeoul National University · KRBrigham and Women's Hospital · USChosun University · KR

Funding

Korean Fund for Regenerative Medicine (KFRM) 21A0501L1National Research Foundation of Korea 2021K2A9A2A06037540National Research Foundation of Korea 2021R1A2C1091301National Research Foundation of Korea 2021R1I1A1A01043176The Catholic University of Korea: ResearchFund 2022
6 · The paper itself

Abstract

Chronic wounds in diabetic patients are challenging because their prolonged inflammation makes healing difficult, thus burdening patients, society, and health care systems. Customized dressing materials are needed to effectively treat such wounds that vary in shape and depth. The continuous development of 3D-printing technology along with artificial intelligence has increased the precision, versatility, and compatibility of various materials, thus providing the considerable potential to meet the abovementioned needs. Herein, functional 3D-printing inks comprising DNA from salmon sperm and DNA-induced biosilica inspired by marine sponges, are developed for the machine learning-based 3D-printing of wound dressings. The DNA and biomineralized silica are incorporated into hydrogel inks in a fast, facile manner. The 3D-printed wound dressing thus generates provided appropriate porosity, characterized by effective exudate and blood absorption at wound sites, and mechanical tunability indicated by good shape fidelity and printability during optimized 3D printing. Moreover, the DNA and biomineralized silica act as nanotherapeutics, enhancing the biological activity of the dressings in terms of reactive oxygen species scavenging, angiogenesis, and anti-inflammation activity, thereby accelerating acute and diabetic wound healing. These bioinspired 3D-printed hydrogels produce using a DNA-induced biomineralization strategy are an excellent functional platform for clinical applications in acute and chronic wound repair.

Indexed as

Diabetes MellitusHydrogelsArtificial IntelligenceBiomineralizationHumansMalePrinting, Three-DimensionalSemenWound HealingHydrogelsAI-based 3D printingbioinspired hydrogel wound dressingbiomineralizationbiosilicaDNA

Identifiers

PMID37076933
PMCPMC10265106
OpenAlexW4366463050

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.