Evidence map›Paper›PMID 36927352›Full record

SynthesisMolecular medicine (Cambridge, Mass.)2023

Single-cell transcriptome reveals Staphylococcus aureus modulating fibroblast differentiation in the bone-implant interface.

Jinlong Yu, Boyong Wang, Feiyang Zhang, Zun Ren, Feng Jiang, Musha Hamushan, Mingzhang Li, Geyong Guo, Hao Shen

Open access · goldFull text readMeta-Analysis
In one paragraph

Synthesis in Molecular medicine (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. 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

9 authors at 1 institution in 1 country.

Jinlong YuDepartment of Orthopedics, Shanghai Sixth People's Hospital, No. 600, Yi Shan Road, Shanghai, 200233, China.
Boyong WangDepartment of Orthopedics, Shanghai Sixth People's Hospital, No. 600, Yi Shan Road, Shanghai, 200233, China.
Feiyang ZhangDepartment of Orthopedics, Shanghai Sixth People's Hospital, No. 600, Yi Shan Road, Shanghai, 200233, China.
Zun RenDepartment of Orthopedics, Shanghai Sixth People's Hospital, No. 600, Yi Shan Road, Shanghai, 200233, China.
Feng JiangDepartment of Orthopedics, Shanghai Sixth People's Hospital, No. 600, Yi Shan Road, Shanghai, 200233, China.
Musha HamushanDepartment of Orthopedics, Shanghai Sixth People's Hospital, No. 600, Yi Shan Road, Shanghai, 200233, China.
Mingzhang LiDepartment of Orthopedics, Shanghai Sixth People's Hospital, No. 600, Yi Shan Road, Shanghai, 200233, China.
Geyong GuoDepartment of Orthopedics, Shanghai Sixth People's Hospital, No. 600, Yi Shan Road, Shanghai, 200233, China. guoyou2014@alumni.sjtu.edu.cn.
Hao ShenDepartment of Orthopedics, Shanghai Sixth People's Hospital, No. 600, Yi Shan Road, Shanghai, 200233, China. shenhao7212@sina.com.ORCID 0000-0002-8698-5079
Shanghai Sixth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to delineate the cell heterogeneity in the bone-implant interface and investigate the fibroblast responses to implant-associated S. aureus infection.

methodsSingle-cell RNA sequencing of human periprosthetic tissues from patients with periprosthetic joint infection (PJI, n = 3) and patients with aseptic loosening (AL, n = 2) was performed. Cell type identities and gene expression profiles were analyzed to depict the single-cell landscape in the periprosthetic environment. In addition, 11 publicly available human scRNA-seq datasets were downloaded from GSE datasets and integrated with the in-house sequencing data to identify disease-specific fibroblast subtypes. Furthermore, fibroblast pseudotime trajectory analysis and Single-cell regulatory network inference and clustering (SCENIC) analysis were combined to identify transcription regulators responsible for fibroblast differentiation. Immunofluorescence was performed on the sequenced samples to validate the protein expression of the differentially expressed transcription regulators.

resultsEight major cell types were identified in the human bone-implant interface by analyzing 36,466 cells. Meta-analysis of fibroblasts scRNA-seq data found fibroblasts in the bone-implant interface express a high level of CTHRC1. We also found fibroblasts could differentiate into pro-inflammatory and matrix-producing phenotypes, each primarily presented in the PJI and AL groups, respectively. Furthermore, NPAS2 and TFEC which are activated in PJI samples were suggested to induce pro-inflammatory polarization in fibroblasts, whereas HMX1, SOX5, SOX9, ZIC1, ETS2, and FOXO1 are matrix-producing regulators. Meanwhile, we conducted a CMap analysis and identified forskolin as a potential regulator for fibroblast differentiation toward matrix-producing phenotypes.

conclusionsIn this study, we discovered the existence of CTHRC1

Indexed as

Staphylococcus aureusTranscriptomeBone-Implant InterfaceCell DifferentiationExtracellular Matrix ProteinsFibroblastsHumansCTHRC1 protein, humanExtracellular Matrix ProteinsFibroblastImplant-associated infectionscRNA-seqStaphylococcus aureus

Identifiers

PMID36927352
PMCPMC10021980
OpenAlexW4327547451

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read54
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.