Evidence map›Paper›PMID 41604011›Full record

ReviewJournal of bone and mineral metabolism2026

Bridging skeletal stem cell diversity and human skeletal modeling.

Shoichiro Tani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of bone and mineral metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Shoichiro TaniChildren's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA. shoichiro.tani@utsouthwestern.edu.ORCID http://orcid.org/0000-0003-3090-5073

Funding

Japan Society for the Promotion of Science Overseas Research Fellowships
6 · The paper itself

Abstract

backgroundSkeletal stem cells (SSCs) underlie skeletal development, homeostasis, regeneration, and aging, yet their identities and functions are highly heterogeneous across anatomical sites and life stages. Mouse genetic studies have identified multiple SSC populations-each residing in distinct niches such as the growth plate, periosteum, and bone marrow-and revealed their dynamic regulation across developmental, homeostatic, regenerative, and aging contexts. However, translating these insights to humans remains challenging due to species differences and limited access to physiological human skeletal tissues. This review synthesizes current understanding of SSC diversity and how distinct compartments contribute to skeletal formation and maintenance throughout life. It also summarizes emerging human skeletal modeling strategies, including pluripotent stem cell differentiation, bioengineered in vitro systems, and in vivo transplantation, evaluating their ability to reconstruct skeletal components and SSC-bearing niches. Although recent models reproduce partial structures such as perichondrium-like layers or bone marrow-like microenvironments, most remain compartment-specific and lack integrated, stage-aware architectures that recapitulate physiological SSC behavior and skeletal functions in vivo. We propose an SSC-centric framework that incorporates spatiotemporal diversity, multi-compartment integration, physiological cues, and cross-validation with human tissues, providing predictive and translational platforms for skeletal biology, disease modeling, and regenerative medicine.

Indexed as

Bone and BonesBone DevelopmentModels, BiologicalStem CellsAnimalsCell DifferentiationHumansStem Cell NicheHuman skeletal modelingSkeletal stem cellsSpatiotemporal diversityStem cell niche

Identifiers

What OpenQuestion holds

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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.