Evidence map›Paper›PMID 41241012›Full record

ReviewJournal of controlled release : official journal of the Controlled Release Society2026

Nanoparticle-mediated bone regeneration: From molecular mechanisms to clinical translation.

Shue Wang, Shengjie Patrick Zhai, Bo Wang, Yue Yan, Xiangyu Gong, Zixie Liang, Gabriel Medina, Dominic Mak, Justin Caron, Michael Mak

Abstract readReview
In one paragraph

Review in Journal of controlled release : official journal of the Controlled Release Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. 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

10 authors.

Shue WangDepartment of Chemistry, Chemical and Biomedical Engineering, University of New Haven, West Haven, CT 06516, USA. Electronic address: swang@newhaven.edu.
Shengjie Patrick ZhaiInterdisciplinary Biomedical Engineering Program, Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, NV 89154, USA. Electronic address: shengjie.zhai@unlv.edu.
Bo WangJoint Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, WI 53226, USA. Electronic address: bowang@mcw.edu.
Yue YanDepartment of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095, USA.
Xiangyu GongDepartment of Pharmacological Sciences, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA.
Zixie LiangDepartment of Pharmacological Sciences, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
Gabriel MedinaDepartment of Chemistry, Chemical and Biomedical Engineering, University of New Haven, West Haven, CT 06516, USA.
Dominic MakDepartment of Chemistry, Chemical and Biomedical Engineering, University of New Haven, West Haven, CT 06516, USA; Department of Pharmacological Sciences, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA; University of Massachusetts Boston, Boston, MA 02125, USA.
Justin CaronDepartment of Chemistry, Chemical and Biomedical Engineering, University of New Haven, West Haven, CT 06516, USA.
Michael MakDepartment of Pharmacological Sciences, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA. Electronic address: michael.mak@stonybrook.edu.

Funding

TRANSFER GRANT: Systems Biophysics of Multiscale State Transitions in Cells and TissuesR35GM142875 · NIGMS · YALE UNIVERSITY · PI Michael MAK · 2021 to 2026
$2.7M
NIGMS NIH HHS R35 GM142875
6 · The paper itself

Abstract

Reconstruction of critical-size bone defects remains a persistent clinical challenge after trauma, tumour resection and degenerative disease. Nanoparticles (NPs) have emerged as versatile platforms that couple tunable material properties with targeted molecular delivery to direct regeneration. This review synthesizes advances from the past decade across inorganic (for example, nanostructured hydroxyapatite and bioactive glasses), polymeric, lipid, and bioinspired NPs, and links key design parameters-size, shape, mechanics, surface chemistry and degradability-to osteogenic outcomes. We examine how NPs steer stem-cell fate through mechanotransduction and canonical signaling (Wnt/β-catenin, BMP/Smad, MAPK), and highlight emerging mechanisms including controlled ion release, redox modulation, protein-corona dynamics and macrophage immune reprogramming toward pro-healing phenotypes. Three key modes of translational application are emphasized: NPs as carriers for proteins, nucleic acids and small molecules; as bioactive or reinforcing components within load-bearing scaffolds; and as injectable microenvironments that provide spatiotemporal control of cell signaling cues. Ongoing clinical applications in dental, orthopedic and spinal therapeutics show growing adoption, while also revealing gaps in long-term safety, Good Manufacturing Practices (GMP), and regulation. In future developments, stimuli-responsive and self-reporting nanomaterials, informed by AI-guided design and integrated with 3D bioprinting, offer routes to patient-specific grafts with predictable performance. By consolidating mechanisms into practical design rules, we chart a path from tunable nanoscale interfaces to reliable, clinically impactful bone regeneration.

Indexed as

Bone RegenerationNanoparticlesAnimalsHumansTissue ScaffoldsBone regenerationMechanotransductionNanoparticlesOsteogenesisStem cell fate

Identifiers

PMID41241012
PMCPMC13682690

What OpenQuestion holds

Textmetadata
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.