Evidence map›Paper›PMID 37626330›Full record

ArticleBMC musculoskeletal disorders2023

Comprehensive analysis on subchondral bone marrow lesions of human osteoarthritis by integrating bulk and single-cell transcriptomes.

Muhui Zeng, Xiaoshuai Wang, Tianyu Chen, Guangfeng Ruan, Jia Li, Song Xue, Yang Zhao, Zhiyang Hu, Ye Xie, Tianxiang Fan and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Transcriptomics in the Study of Bone and Cartilage.Current osteoporosis reports · 2026
    Review
  6. Article
  7. Review
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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

18 authors at 7 institutions in 2 countries.

Muhui Zeng *Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Xiaoshuai Wang *Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Tianyu Chen *Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Guangfeng RuanClinical Research Centre, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Jia LiClinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Song XueDepartment of Rheumatology and Immunology, Arthritis Research Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yang ZhaoClinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Zhiyang HuSun Yat-sen University School of Medicine, Sun Yat-sen University, Shenzhen, China.
Ye XieZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Tianxiang FanClinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Shibo ChenClinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Yang LiClinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Qianyi WangClinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, China.
Yue ZhangState Key Laboratory of Organ Failure Research, Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Rongkai ZhangDepartment of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Lijun LinDepartment of Orthopedics, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Changhai DingClinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, China. changhai.ding@utas.edu.au.
Zhaohua ZhuClinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, Guangdong, China. zhaohua.zhu@utas.edu.au.
Southern Medical University · CNZhujiang Hospital · CNSun Yat-sen University · CNThird Affiliated Hospital of Southern Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CNGuangzhou Medical University · CNUniversity of Tasmania · AU

Funding

Guangzhou Science and Technology Program 202002030481National Natural Science Foundation of China 32000925National Natural Science Foundation of China 81974342
6 · The paper itself

Abstract

objectiveThis study aims to demonstrate the cellular composition and underlying mechanisms in subchondral bone marrow lesions (BMLs) of knee osteoarthritis (OA).

methodsBMLs were assessed by MRI Osteoarthritis Knee Score (MOAKS)≥2. Bulk RNA-sequencing (bulk-seq) and BML-specific differentially expressed genes (DEGs) analysis were performed among subchondral bone samples (including OA-BML=3, paired OA-NBML=3; non-OA=3). The hub genes of BMLs were identified by verifying in independent datasets and multiple bioinformatic analyses. To further estimate cell-type composition of subchondral bone, we utilized two newly developed deconvolution algorithms (MuSiC, MCP-counter) in transcriptomic datasets, based on signatures from open-accessed single-cell RNA sequencing (scRNA-seq). Finally, competing endogenous RNA (ceRNA) and transcription factor (TF) networks were constructed through multiple predictive databases, and validated by public non-coding RNA profiles.

resultsA total of 86 BML-specific DEGs (up 79, down 7) were identified. IL11 and VCAN were identified as core hub genes. The "has-miR-424-5p/lncRNA PVT1" was determined as crucial network, targeting IL11 and VCAN, respectively. More importantly, two deconvolution algorithms produced approximate estimations of cell-type composition, and the cluster of heterotopic-chondrocyte was discovered abundant in BMLs, and positively correlated with the expression of hub genes.

conclusionIL11 and VCAN were identified as the core hub genes of BMLs, and their molecular networks were determined as well. We profiled the characteristics of subchondral bone at single-cell level and determined that the heterotopic-chondrocyte was abundant in BMLs and was closely linked to IL11 and VCAN. Our study may provide new insights into the microenvironment and pathological molecular mechanism of BMLs, and could lead to novel therapeutic strategies.

Indexed as

Bone DiseasesCartilage DiseasesOsteoarthritis, KneeBone MarrowHumansInterleukin-11TranscriptomeInterleukin-11Bone marrow lesionsDeconvolution algorithmOsteoarthritisSingle-cell RNA sequencingSubchondral bone

Identifiers

PMID37626330
PMCPMC10463447
OpenAlexW4386161722

What Socratic holds

Textmetadata
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 Socratic graph.