Evidence map›Paper›PMID 41927532›Full record

ArticleBone research2026

Spatially resolved osteoblast-traced transcriptomics uncovers TGF-β as a combination target with sclerostin in osteoporosis.

Ahyoun Choi, Ji Yeon Lee, Hyejin Yoon, Xiangguo Che, Minkyeong Choi, Yongkuk Park, Kyoungseob Shin, Hyunho Lee, Jimin Park, Sung Hye Kong and 7 more

Abstract read
In one paragraph

Article in Bone research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Ahyoun Choi *Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea.
Ji Yeon Lee *Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hyejin YoonDepartment of Biomedical Engineering, Institute for Applied Life Sciences, University of Massachusetts, Amherst, MA, USA.
Xiangguo CheDepartment of Biochemistry and Cell Biology, Cell and Matrix Research Institute, Institute for Translational Research in Dentistry, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Minkyeong ChoiInterdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea.
Yongkuk ParkDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA, USA.
Kyoungseob ShinDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.
Hyunho LeeBio-MAX Institute, Seoul National University, Seoul, Republic of Korea.
Jimin ParkDivision of Endocrinology and Metabolism, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Sung Hye KongDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Jinhyun KimDivision of Data Science, College of Information and Communication Technology, The University of Suwon, Hwaseong, Republic of Korea.
Amos Chungwon LeeMeteor Biotech, Co. Ltd, Seoul, Republic of Korea.
Chan Soo ShinDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Je-Yong ChoiDepartment of Biochemistry and Cell Biology, Cell and Matrix Research Institute, Institute for Translational Research in Dentistry, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.ORCID 0000-0002-5057-8842
Jungwoo LeeDepartment of Biomedical Engineering, Institute for Applied Life Sciences, University of Massachusetts, Amherst, MA, USA.ORCID 0000-0003-2048-2142
Sunghoon KwonInterdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea. skwon@snu.ac.kr.
Sang Wan KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. swkimmd@snu.ac.kr.ORCID 0000-0001-9561-9110

Funding

Develop and validate demineralized bone paper-based human bone metabolic and senolytic assaysR33CA291301 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Jungwoo Lee · 2024 to 2026
$1.3M
Ministry of Education (Ministry of Education of the Republic of Korea) Seoul National University in 2025Ministry of Health and Welfare (Ministry of Health, Welfare and Family Affairs) RS-2024-00468338Ministry of Trade, Industry and Energy (Ministry of Trade, Industry and Energy, Korea) RS-2024-00508416National Research Foundation of Korea (NRF) 2023R1A2C2003958NCI NIH HHS R33 CA291301
6 · The paper itself

Abstract

Dynamic transitions of mature osteoblasts between active and quiescent states are essential for bone homeostasis and present a promising target for osteoanabolic therapy. However, these transitions remain poorly understood due to cellular heterogeneity and limited spatial context. Here, we employed spatially resolved osteoblast-traced transcriptomics, integrating an osteoblast-specific lineage tracing study and spatially resolved laser-activated cell sorting (SLACS), to profile osteoblast states on quiescent bone surfaces. This approach identified transforming growth factor-beta (TGF-β) signaling as a regulator of osteoblast activation. We further validated this role using single-cell RNA sequencing, in vitro functional assays, and in vivo. In a hindlimb unloading mouse model, dual inhibition of TGF-β and sclerostin enhanced bone mass and mitigated bone loss more effectively than sclerostin inhibition alone. These findings reveal a mechanistic role for TGF-β in regulating osteoblast dynamics and propose a dual-target therapeutic strategy that enhances the efficacy of anti-sclerostin treatment in osteoporosis.

Indexed as

OsteoblastsOsteoporosisTranscriptomeTransforming Growth Factor betaAdaptor Proteins, Signal TransducingAnimalsBone Morphogenetic ProteinsHumansMiceMice, Inbred C57BLSignal TransductionAdaptor Proteins, Signal TransducingBone Morphogenetic ProteinsSost protein, mouseTransforming Growth Factor beta

Identifiers

PMID41927532
PMCPMC13046724

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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.