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

BACKGROUND: This study aimed to delineate the cell heterogeneity in the bone-implant interface and investigate the fibroblast responses to implant-associated S. aureus infection. METHODS: Single-cell RNA sequencing of human periprosthetic tissues from patients with periprosthetic joint infection (PJ...

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Autores principales: Yu, Jinlong, Wang, Boyong, Zhang, Feiyang, Ren, Zun, Jiang, Feng, Hamushan, Musha, Li, Mingzhang, Guo, Geyong, Shen, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021980/
https://www.ncbi.nlm.nih.gov/pubmed/36927352
http://dx.doi.org/10.1186/s10020-023-00632-7
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author Yu, Jinlong
Wang, Boyong
Zhang, Feiyang
Ren, Zun
Jiang, Feng
Hamushan, Musha
Li, Mingzhang
Guo, Geyong
Shen, Hao
author_facet Yu, Jinlong
Wang, Boyong
Zhang, Feiyang
Ren, Zun
Jiang, Feng
Hamushan, Musha
Li, Mingzhang
Guo, Geyong
Shen, Hao
author_sort Yu, Jinlong
collection PubMed
description BACKGROUND: This study aimed to delineate the cell heterogeneity in the bone-implant interface and investigate the fibroblast responses to implant-associated S. aureus infection. METHODS: Single-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. RESULTS: Eight 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. CONCLUSIONS: In this study, we discovered the existence of CTHRC1(+) fibroblast in the bone-implant interface. Moreover, we revealed a bipolar mode of fibroblast differentiation and put forward the hypothesis that infection could modulate fibroblast toward a pro-inflammatory phenotype through NPAS2 and TFEC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-023-00632-7.
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spelling pubmed-100219802023-03-18 Single-cell transcriptome reveals Staphylococcus aureus modulating fibroblast differentiation in the bone-implant interface Yu, Jinlong Wang, Boyong Zhang, Feiyang Ren, Zun Jiang, Feng Hamushan, Musha Li, Mingzhang Guo, Geyong Shen, Hao Mol Med Research Article BACKGROUND: This study aimed to delineate the cell heterogeneity in the bone-implant interface and investigate the fibroblast responses to implant-associated S. aureus infection. METHODS: Single-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. RESULTS: Eight 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. CONCLUSIONS: In this study, we discovered the existence of CTHRC1(+) fibroblast in the bone-implant interface. Moreover, we revealed a bipolar mode of fibroblast differentiation and put forward the hypothesis that infection could modulate fibroblast toward a pro-inflammatory phenotype through NPAS2 and TFEC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-023-00632-7. BioMed Central 2023-03-16 /pmc/articles/PMC10021980/ /pubmed/36927352 http://dx.doi.org/10.1186/s10020-023-00632-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Yu, Jinlong
Wang, Boyong
Zhang, Feiyang
Ren, Zun
Jiang, Feng
Hamushan, Musha
Li, Mingzhang
Guo, Geyong
Shen, Hao
Single-cell transcriptome reveals Staphylococcus aureus modulating fibroblast differentiation in the bone-implant interface
title Single-cell transcriptome reveals Staphylococcus aureus modulating fibroblast differentiation in the bone-implant interface
title_full Single-cell transcriptome reveals Staphylococcus aureus modulating fibroblast differentiation in the bone-implant interface
title_fullStr Single-cell transcriptome reveals Staphylococcus aureus modulating fibroblast differentiation in the bone-implant interface
title_full_unstemmed Single-cell transcriptome reveals Staphylococcus aureus modulating fibroblast differentiation in the bone-implant interface
title_short Single-cell transcriptome reveals Staphylococcus aureus modulating fibroblast differentiation in the bone-implant interface
title_sort single-cell transcriptome reveals staphylococcus aureus modulating fibroblast differentiation in the bone-implant interface
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021980/
https://www.ncbi.nlm.nih.gov/pubmed/36927352
http://dx.doi.org/10.1186/s10020-023-00632-7
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