Evidence map›Paper›PMID 39469314›Full record

ReviewMaterials today. Bio2024

Programmable biomaterials for bone regeneration.

Peiran Song, Dongyang Zhou, Fuxiao Wang, Guangfeng Li, Long Bai, Jiacan Su

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Materials today. Bio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Peiran SongOrganoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Dongyang ZhouOrganoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Fuxiao WangOrganoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Guangfeng LiOrganoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Long BaiOrganoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Jiacan SuOrganoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmable biomaterials are distinguished by their ability to adjust properties and functions on demand, in a periodic, reversible, or sequential manner. This contrasts with traditional biomaterials, which undergo irreversible, uncontrolled changes. This review synthesizes key advances in programmable biomaterials, examining their design principles, functionalities and applications in bone regeneration. It charts the transition from traditional to programmable biomaterials, emphasizing their enhanced precision, safety and control, which are critical from clinical and biosafety standpoints. We then classify programmable biomaterials into six types: dynamic nucleic acid-based biomaterials, electrically responsive biomaterials, bioactive scaffolds with programmable properties, nanomaterials for targeted bone regeneration, surface-engineered implants for sequential regeneration and stimuli-responsive release materials. Each category is analyzed for its structural properties and its impact on bone tissue engineering. Finally, the review further concludes by highlighting the challenges faced by programmable biomaterials and suggests integrating artificial intelligence and precision medicine to enhance their application in bone regeneration and other biomedical fields.

Indexed as

Artificial intelligenceBone regenerationBone tissue engineeringDevelopment of biomaterialsProgrammable biomaterials

Identifiers

PMID39469314
PMCPMC11513843

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.