SynthesisMolecular medicine (Cambridge, Mass.)2023
Single-cell transcriptome reveals Staphylococcus aureus modulating fibroblast differentiation in the bone-implant interface.
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.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Key Inflammatory Pathways, Biomarkers, and Targeted Management Strategies in Primary Total Joint Arthroplasty: A Narrative Review.Medicina (Kaunas, Lithuania) · 2026Review
- Fibroblast adipogenesis restricts hemangioma growth through a PPARγ/Hippo-YAP/TAZ axis that promotes endothelial apoptosis and cell cycle arrest.Cell death discovery · 2026Article
- Single-Cell RNA-Seq Reveals the Effect of Commensal Bacteria on the Multistep Development of Esophageal Cancer.Cancer science · 2025Article
- Biomaterial-mediated Cell Atlas: an insight from single-cell and spatial transcriptomics.Bioactive materials · 2025Review
- Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Immune dysfunction during S. aureus biofilm-associated implant infections: opportunities for novel therapeutic strategies.NPJ biofilms and microbiomes · 2025Review
- Resensitizing β-Lactams by Reprogramming Purine Metabolism in Small Colony Variant for Osteomyelitis Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- CTHRC1: a key player in colorectal cancer progression and immune evasion.Frontiers in immunology · 2025Review
- Staphylococcus aureus SaeRS impairs macrophage immune functions through bacterial clumps formation in the early stage of infection.NPJ biofilms and microbiomes · 2024Article
- Identification of immune infiltration and immune-related biomarkers of periprosthetic joint infection.Heliyon · 2024Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
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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.