Evidence map›Paper›PMID 38325908›Full record

ArticleAnnals of the rheumatic diseases2024

Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integration.

Yue Fan, Xuzhao Bian, Xiaogao Meng, Lei Li, Laiyi Fu, Yanan Zhang, Long Wang, Yan Zhang, Dalong Gao, Xiong Guo and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of the rheumatic diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed
53.6field-weighted citation impact, top 1% 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

111 citing papers in PubMed, 114 citations in OpenAlex.

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51 more citing papers are in PubMed but not listed here.

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

13 authors at 6 institutions in 3 countries.

Yue Fan *Center for Single-Cell Omics and Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.ORCID http://orcid.org/0000-0002-5597-3884
Xuzhao Bian *Center for Single-Cell Omics and Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Xiaogao Meng *Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Lei LiCenter for Single-Cell Omics and Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Laiyi FuSchool of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yanan ZhangCenter for Single-Cell Omics and Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Long WangCenter for Single-Cell Omics and Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Yan ZhangCenter for Single-Cell Omics and Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
Dalong GaoDepartment of Orthopaedics, The Central Hospital of Xianyang, Xianyang, China.
Xiong GuoCollaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region, Shaanxi Province; Key Laboratory of Trace Elements and Endemic Diseases, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Mikko Juhani LammiDepartment of Integrative Medical Biology, University of Umeå, Umeå, Sweden.ORCID http://orcid.org/0000-0002-6181-9904
Guangdun PengGuangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China sqsunsph@xjtu.edu.cn peng_guangdun@gibh.ac.cn.
Shiquan SunCenter for Single-Cell Omics and Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China sqsunsph@xjtu.edu.cn peng_guangdun@gibh.ac.cn.
Xi'an Jiaotong University · CNGuangzhou Institutes of Biomedicine and Health · CNHubei University of Medicine · CNUmeå University · SEUniversity of Chinese Academy of Sciences · CNXian Yang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSingle-cell and spatial transcriptomics analysis of human knee articular cartilage tissue to present a comprehensive transcriptome landscape and osteoarthritis (OA)-critical cell populations.

methodsSingle-cell RNA sequencing and spatially resolved transcriptomic technology have been applied to characterise the cellular heterogeneity of human knee articular cartilage which were collected from 8 OA donors, and 3 non-OA control donors, and a total of 19 samples. The novel chondrocyte population and marker genes of interest were validated by immunohistochemistry staining, quantitative real-time PCR, etc. The OA-critical cell populations were validated through integrative analyses of publicly available bulk RNA sequencing data and large-scale genome-wide association studies.

resultsWe identified 33 cell population-specific marker genes that define 11 chondrocyte populations, including 9 known populations and 2 new populations, that is, pre-inflammatory chondrocyte population (preInfC) and inflammatory chondrocyte population (InfC). The novel findings that make this an important addition to the literature include: (1) the novel InfC activates the mediator MIF-CD74; (2) the prehypertrophic chondrocyte (preHTC) and hypertrophic chondrocyte (HTC) are potentially OA-critical cell populations; (3) most OA-associated differentially expressed genes reside in the articular surface and superficial zone; (4) the prefibrocartilage chondrocyte (preFC) population is a major contributor to the stratification of patients with OA, resulting in both an inflammatory-related subtype and a non-inflammatory-related subtype.

conclusionsOur results highlight InfC, preHTC, preFC and HTC as potential cell populations to target for therapy. Also, we conclude that profiling of those cell populations in patients might be used to stratify patient populations for defining cohorts for clinical trials and precision medicine.

Indexed as

Cartilage, ArticularChondrocytesOsteoarthritis, KneeAgedFemaleGene Expression ProfilingGenome-Wide Association StudyHumansHypertrophyMaleMiddle AgedMultiomicsSingle-Cell AnalysisTranscriptomechondrocytesinflammationosteoarthritis, knee

Identifiers

PMID38325908
PMCPMC11187367
OpenAlexW4391596911

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.