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Record W4411196185 · doi:10.1016/j.actbio.2025.06.019

Divergent effects of premineralization and prevascularization on osteogenesis and vascular integration in humanized tissue engineered bone constructs

2025· article· en· W4411196185 on OpenAlexfundno aff
Sugandha Bhatia, Luke Hipwood, Briony Claxton, Agathe Bessot, Angus Weekes, Kamil A. Sokolowski, Tomoji Mashimo, Nathalie Bock, Jacqui McGovern

Bibliographic record

VenueActa Biomaterialia · 2025
Typearticle
Languageen
FieldMedicine
TopicBone and Dental Protein Studies
Canadian institutionsnot available
FundersTranslational Research Institute AustraliaQueensland University of TechnologyMater FoundationCancer AustraliaKids' Cancer ProjectCanadian Anesthesia Research Foundation
KeywordsMaterials scienceBiomedical engineeringHumanized mouseBone healingMedicineAnatomyImmunology

Abstract

fetched live from OpenAlex

Osteogenesis (bone formation) and vascularization (blood vessel formation) are two central and interconnected physiological-relevant processes in bone formation. Prevascularization of humanized tissue-engineered bone constructs (hTEBCs) has been proposed to better mimic the human bone microenvironment by enhancing vascular integration and facilitating greater osteogenic capacity. Here, we investigated the effects of premineralization and prevascularization on bone and vasculature development in an ectopic hTEBC model using a scaffold-hydrogel composite approach. Human osteoblast cells (hOBs) were cultured under osteogenic conditions (OM), with or without a 3-day mineralization boost (OM+) period for 4 weeks prior to implantation in vivo in a supporting porous polycaprolactone (mPCL) scaffold. Separately, photocrosslinkable fish gelatin-derived hydrogels placed within supporting mPCL scaffolds showed formation of elongated vascular networks as early as day 3 with in vitro coculture of human umbilical vein endothelial cells (HUVECs) and human bone marrow mesenchymal stem/stromal cells (MSCs). The OM and OM+ cultured constructs were subcutaneously implanted into immunocompromised rats with and without the prevascular hydrogels, resulting in four subgroups: OM, OM+, OM/Vas, and OM+/Vas. Our results demonstrated that the OM+ group led to more rapid osteoinduction and enhanced osteogenic differentiation in vivo with woven bone structure and active remodeling. Conversely, prevascularization (OM/Vas, OM+/Vas groups) led to reduce in vivo bone volume and density but promoted the development of human endothelial networks and successful anastomosis with host vasculature. Our study highlights the distinct contributions of premineralization and prevascularization, where premineralization is critical for robust bone formation and prevascularization enhances vascular integration, providing important insights for advancing the physiological relevance of hTEBC models in animal hosts. STATEMENT OF SIGNIFICANCE: This study demonstrates the development of humanized tissue engineered bone constructs incorporating a vascular niche using a rat. By integrating innovative premineralization and prevascularization techniques within scaffold-hydrogel composites, we show that premineralization accelerates bone formation, while prevascularization promotes endothelial network formation and integration with host vasculature. Photocrosslinkable, low-stiffness LunaGel™ hydrogels enhanced microcapillary-like structure formation and endothelial sprouting in in vitro co-culture. However, by combining osteogenic and vascular cues within a biodegradable composite, this work advances the bone tissue engineering field by creating a model that more accurately reflects the divergent and competing nature of vascularization and bone formation. This platform has broad applicability for studying bone-vascular interactions and may inform strategies to improve the design of biomaterials for regenerative therapies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.237
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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