Evidence map›Paper›PMID 41131833›Full record

ArticleSmall methods2025

Nanosecond Laser-Assisted Direct Integration of Whitlockite onto Bone Implant Surfaces for Enhanced Bone Regeneration.

Daehyeok Kwon, Hee Jae Hwang, Sun Hee Lee, Soon Jin Choi, Sangmin Song, Ji-Young Lee, Hyeok Kim, Seung-Hoon Um, Soyeon Park, Hyewon Kim and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Small methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Daehyeok KwonKU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, 02841, Republic of Korea.
Hee Jae HwangSchool of Mechanical Engineering, Kumoh National Institute of Technology, 61, Daehak-ro, Gumi-si, Gyeongsangbuk-do, 39177, Republic of Korea.
Sun Hee LeeBiomaterials Research Center, Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Soon Jin ChoiKU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, 02841, Republic of Korea.
Sangmin SongBiomaterials Research Center, Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Ji-Young LeeBiomaterials Research Center, Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Hyeok KimBiomaterials Research Center, Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Seung-Hoon UmResearch and Development Center, Elecell Corporation, Seoul, 02455, Republic of Korea.
Soyeon ParkKU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, 02841, Republic of Korea.
Hyewon KimBiomaterials Research Center, Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Yeon Jae ChangDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Yu-Chan KimBiomaterials Research Center, Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Hojeong JeonKU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, 02841, Republic of Korea.
Jimin ParkDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Hyung-Seop HanBiomaterials Research Center, Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.ORCID 0000-0001-6870-1485

Funding

Korea Institute of Science and Technology 2E3375BKorea Institute of Science and Technology 2E33781KU-KIST Graduate School of Converging Science and TechnologyNational Research Foundation of Korea RS-2024-00407234National Research Foundation of Korea RS-2024-00419269
6 · The paper itself

Abstract

Whitlockite (WH), a magnesium-enriched bone mineral, offers significant potential for bone regeneration due to its high bioresorbability and osteogenic properties. Despite these advantages, its application has been hindered by challenges in synthesizing WH directly on implant surfaces. To address this, a laser-assisted strategy is developed for the in situ formation of WH-containing coatings on bone implants. To overcome the thermodynamic and kinetic barriers of WH synthesis, a magnesium calcium phosphate (MCP) intermediate is employed, a kinetically accessible and magnesium-rich phase, as a precursor to WH. The MCP intermediate is readily produced via laser-induced hydrothermal processing from a magnesium-enriched solution. Subsequent localized laser irradiation enabled partial transformation of the MCP into WH. Multiscale analyses confirmed successful WH formation, showing rhombohedral morphology and distinct chemical features. In vivo testing in a rat femoral defect model showed that WH-integrated implants significantly enhanced bone-implant integration and early-stage vascularization, attributed to the sustained release of osteogenic calcium and magnesium ions. This laser-assisted method can offer a scalable and effective strategy for implant surface modification in regenerative medicine.

Indexed as

Bone RegenerationCalcium PhosphatesLasersMagnesium CompoundsAnimalsCoated Materials, BiocompatibleFemurMagnesiumOsteogenesisRatsRats, Sprague-DawleySurface Propertiescalcium phosphate, dibasic, dihydrateCalcium PhosphatesCoated Materials, BiocompatibleMagnesiumMagnesium Compoundsangiogenesisbone regenerationlaser‐assisted hydrothermal synthesislaser‐assisted phase transformationwhitlockite

Identifiers

PMID41131833
PMCPMC12716189

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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.