Evidence map›Paper›PMID 40309352›Full record

ReviewRegenerative biomaterials2025

Biomaterials-based approaches to mandibular tissue engineering: where we were, where we are, where we are going.

Maeve M Kennedy, Antonios G Mikos

Abstract readReview
In one paragraph

Review in Regenerative biomaterials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Journal of tissue engineering
    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

2 authors.

Maeve M KennedyDepartment of Bioengineering, Rice University, Houston, TX 77030, USA.ORCID https://orcid.org/0000-0001-8343-7707
Antonios G MikosDepartment of Bioengineering, Rice University, Houston, TX 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mandible is the largest craniofacial bone and plays a crucial role in speech, mastication, swallowing, and facial aesthetics. The form or function of the mandible can be altered by defects as a result of tumors, trauma, infection, and congenital conditions. This paper covers the evolution of biomaterials-based approaches to the reconstruction of critical size mandibular defects. Historically the gold standard for critical size mandibular defect repair has been autologous fibula grafts. The emergence of the field of tissue engineering has led to the current research on biomaterial scaffolds, cells, and biological factors to design highly tunable, bio-inspired, tissue regenerative implants. Scaffold materials can be synthetic or natural and can be fabricated using a variety of additive manufacturing techniques. Mesenchymal stem cells, bone morphogenetic proteins, and transforming growth factor-β are frequently added to scaffolds. While great progress has been made, there are still barriers to translating this research to patients, ranging from insufficient bone regeneration in animal studies to the feasibility of establishing a good manufacturing practice. To address these challenges, the future of mandibular tissue engineering will look toward improving implant vascularization and innervation, personalizing implant shape and biology, and enhancing spatiotemporal control of drug release. With these goals in mind, researchers will ultimately develop biomaterials that can regenerate bone that is structurally and biologically identical to native mandibular tissue, improving both function and quality of life for patients.

Indexed as

3D printingbioceramicsbonescaffolds

Identifiers

PMID40309352
PMCPMC12041422

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.