Evidence map›Paper›PMID 41381396›Full record

ArticleJournal of cellular and molecular medicine2025

Deciphering the Osteoimmune Landscape in Subtalar Arthrodesis: A Single-Cell RNA Sequencing Approach.

Hansong Lee, Kihun Kim, Tae Sik Goh, Suk-Woong Kang, Jung Yun Bae, Su-Yeon Cho, Yujin Kwon, Won Kyu Kim, Jin-Woo Kim, Yun Hak Kim and 1 more

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2025. 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

11 authors.

Hansong LeeMedical Research Institute, Pusan National University, Yangsan, Republic of Korea.
Kihun KimDepartment of Occupational and Environmental Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
Tae Sik GohDepartment of Orthopaedic Surgery, Pusan National University, Busan, Republic of Korea.
Suk-Woong KangDepartment of Orthopedic Surgery, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Jung Yun BaeDepartment of Orthopedic Surgery, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Su-Yeon ChoDivision of Natural Product Applied Science, University of Science and Technology (UST), Daejeon, Republic of Korea.
Yujin KwonCenter for Natural Product Efficacy Optimization, Korea Institute of Science and Technology (KIST), Gangneung, Republic of Korea.
Won Kyu KimDivision of Natural Product Applied Science, University of Science and Technology (UST), Daejeon, Republic of Korea.ORCID 0000-0003-1960-4755
Jin-Woo KimDepartment of Oral and Maxillofacial Surgery, Research Institute for Intractable Osteonecrosis of the Jaw, Ewha Womans University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-1672-5730
Yun Hak KimResearch Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.ORCID 0000-0002-9796-8266
Seung Hun WooDepartment of Orthopedic Surgery, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.

Funding

Korea Health Industry Development Institute RS-2025-02223691Korea Institute for Advancement of Technology RS-2025-02214034Korea Medical Institute KMI20220154Korea Research Environment Open NetworkNational Research Foundation of Korea RS-2023-00273667Pusan National University Yangsan Hospital 30-2022-020
6 · The paper itself

Abstract

Subtalar arthrodesis (SA) is a widely used salvage procedure for posttraumatic subtalar arthritis (PSA), but its underlying healing mechanisms remain poorly understood. The immune system plays a critical role in the union process after arthrodesis; however, the systemic osteoimmunological response has not been clearly defined. In this study, we investigated immune cell dynamics in patients who underwent SA using single-cell RNA sequencing (scRNA-seq). Peripheral blood mononuclear cells (PBMCs) were collected before surgery and 3 months after the operation. The degree of bone fusion was assessed using computed tomography (CT) scans at 3 months, and patients were categorised into early union (EU) and delayed union (DU) groups. scRNA-seq analysis was performed to examine immune cell composition, gene expression and functional pathways. Monocytes in the EU group showed enhanced antigen processing and presentation, whereas those in the DU group demonstrated increased phagocytic activity. NK cells in the DU group exhibited stronger cytotoxicity through Fc-gamma receptor signalling and antibody-dependent cellular cytotoxicity (ADCC) pathways, while NK cells in the EU group showed higher chemokine and cytokine activity. These immune differences persisted postoperatively, suggesting that variations in the systemic immune environment may influence bone healing outcomes. Our findings emphasise the important roles of monocytes and NK cells in bone union and suggest that immunomodulatory approaches could help improve bone repair.

Indexed as

ArthrodesisSequence Analysis, RNASingle-Cell AnalysisSubtalar JointAdultAgedFemaleHumansKiller Cells, NaturalLeukocytes, MononuclearMaleMiddle AgedMonocytesmonocyteNK cellosteoimmunologysingle‐cell RNA sequencingsubtalar arthrodesis

Identifiers

PMID41381396
PMCPMC12698338

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.