Evidence map›Paper›PMID 41209384›Full record

ArticleJournal of inflammation research2025

The Alterations in the Osteoimmune Microenvironment of STZ-Induced Type 2 Diabetic Mice:A Single-Cell RNA Sequencing Analysis.

Ke Han, Shuang G Yan, Fanxiao Liu, Lianxin Li, Dongsheng Zhou, Lin Li, Nan Liu, Jinlei Dong

Abstract read
In one paragraph

Article in Journal of inflammation research, 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. Review
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

8 authors.

Ke HanDepartment of Orthopaedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.
Shuang G YanDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Fanxiao LiuDepartment of Orthopaedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.ORCID 0000-0002-1412-849X
Lianxin LiDepartment of Orthopaedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.ORCID 0000-0003-4504-3541
Dongsheng ZhouDepartment of Orthopaedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.
Lin LiDepartment of Orthopedic Surgery, Tengzhou Central People's Hospital Affiliated to Jining Medical University, Tengzhou, Shandong, People's Republic of China.
Nan LiuDepartment of Orthopaedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.
Jinlei DongDepartment of Orthopaedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to delineate the single-cell transcriptome of bone marrow (BM) cells from wild-type (WT) and type 2 diabetic (T2D) mice, revealing distinct immune microenvironment features. Methods: Single high-throughput single-cell RNA sequencing dataset (GSE212726) from BM cells of WT and streptozotocin (STZ)-induced T2DM mice were analyzed. Uniform manifold approximation and projection (UMAP), pseudo-time analysis, gene enrichment studies, and CellphoneDB were employed to identify immune cell interactions within the osteoimmune microenvironment. Key gene expression was validated by quantitative real-time polymerase chain reaction (qRT-PCR). Results: After filtering low-quality cells and doublets, 9,360 cells (WT) and 10,885 cells (T2DM) were retained and classified into 12 clusters. Proportional analysis revealed a significant decrease in BM-neutrophils (66.56% → 54.73%) and an increase in B cells (9.16% → 19.78%) in the DM group. The DM/WT ratio for BM-neutrophils/T cells, BM-neutrophils/DCs, and monocytes/T cells increased, while the ratio for BM-neutrophils/Naïve_B decreased. KEGG pathway analysis highlighted enrichment of neurodegeneration, protein processing in the endoplasmic reticulum, and amyotrophic lateral sclerosis pathways in BM-neutrophils. Intercellular communication analysis indicated reduced incoming and outgoing interaction strength for B cells and T cells, while the T2D group showed enhanced THBS, VISFATIN, CLEC, IL4, and IL6 signaling. Notably, CLEC was specific to outgoing signaling in T cells, and THBS was specific to both outgoing and incoming signaling in monocytes, MSCs, and BM-neutrophils. Conclusion: Single-cell RNA sequencing provides a comprehensive profile of bone marrow immune cells in T2D mice and has highlighted their heterogeneity, population shifts, and intercellular interactions. These findings highlight critical alterations in immune cell functions that may contribute to T2D progression and suggest possible avenues for future therapeutic investigation. Future research should continue to leverage scRNA-seq technology to refine treatment strategies and enhance patient outcomes by addressing immune dysfunction and chronic inflammation.

Indexed as

bone marrowdiabetes mellituslymphocyteosteoimmunologysingle-cell RNA sequencing

Identifiers

PMID41209384
PMCPMC12595988

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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.