Macrophage migration inhibitory factor (MIF) inhibitor iSO-1 promotes staphylococcal protein A-induced osteogenic differentiation by inhibiting NF-κB signaling pathway

Shi, Xiangwen; Wu, Yipeng; Ni, Haonan; Li, Mingjun; Qi, Baochuang; Xu, Yongqing

doi:10.1016/j.intimp.2022.109600

Cited by 5 publications

(4 citation statements)

References 61 publications

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“…The results also illustrated that CD8T cells predominantly engaged in interactions facilitated by the macrophage migration inhibitory factor (MIF). Some studies have identified that the application of MIF inhibitors hindered the conduction of the NF-kB signal, [ 29 , 30 ] and overexpression of MIF facilitated the progression of osteosarcoma through activating the Ras signal pathway. [ 31 ] Moreover, our analysis revealed that CD8T cell marker genes were enriched in NF-kB and the Ras signal pathways.…”

Section: Discussionmentioning

confidence: 99%

Establishment and validation of a novel risk model based on CD8T cell marker genes to predict prognosis in thyroid cancer by integrated analysis of single-cell and bulk RNA-sequencing

Du,

Song,

Wang

et al. 2023

Medicine

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Papillary thyroid cancer (PTC) is a histological type of thyroid cancer, and CD8T is important for the immune response. The single-cell RNA data were acquired from Gene Expression Omnibus. SingleR package was used for cluster identification, and CellChat was exploited to evaluate the interaction among several cell types. Bulk RNA data obtained from the cancer genome atlas were used for determination of prognosis using Kaplan–Meier and Receiver Operating Characteristic curve. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis were applied for assessment of function enrichment. The drug sensitivity was calculated in Gene Set Cancer Analysis. The regulatory network was constructed by STRING and Cytoscape. We identified 23 cell clusters and 10 cell types. Cell communication results showed CD8T cell was vital among all immune cell types. Enrichment analysis found the marker genes of CD8T cell was enriched in some signal pathways related to tumor development. Overall, FAM107B and TUBA4A were considered as hub genes and used to construct a risk model. Most immune checkpoint expressions were upregulated in tumor group. Tumor mutation burden results indicated that prognosis of PTC was not related to the mutation of hub genes. Drug sensitivity analysis showed some drugs could be effectively used for the treatment of PTC, and regulatory network identified some targets for the immunotherapy. A 2-gene model of PTC was developed based on the single-cell RNA and bulk RNA data. Besides, we found CD8T was essential for the immune response in PTC.

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Section: Discussionmentioning

confidence: 99%

Establishment and validation of a novel risk model based on CD8T cell marker genes to predict prognosis in thyroid cancer by integrated analysis of single-cell and bulk RNA-sequencing

Du,

Song,

Wang

et al. 2023

Medicine

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“…The specific steps for establishing the OM model were based on the protocol by Poeppl et al 26 and previous publication by our team. 27 All experimental procedures were approved by the Nursing and Use of Experimental Animals Ethics Committee of the Joint Logistics Support Force 920 Hospital (2023‐007‐01). All procedures were carried out in accordance with the “Laboratory animal—Guideline for ethical review of animal welfare” and the animal care and use regulations of 920 Hospital.…”

Section: Methodsmentioning

confidence: 99%

“…After exposing the tibia, a Kirschner wire was inserted into the medullary cavity, and 20 μL of 1 × 10 6 colony‐forming units of S. aureus (ATCC25923; Thermo Fisher Scientific Inc.) were injected into the tibial medullary cavity for the experimental group, while the sham surgery group received an injection of sterile saline. The specific steps for establishing the OM model were based on the protocol by Poeppl et al 26 and previous publication by our team 27 . All experimental procedures were approved by the Nursing and Use of Experimental Animals Ethics Committee of the Joint Logistics Support Force 920 Hospital (2023‐007‐01).…”

Section: Methodsmentioning

confidence: 99%

Integrative gene expression analysis and animal model reveal immune‐ and autophagy‐related biomarkers in osteomyelitis

Shi,

Li,

et al. 2024

Immunity Inflam & Disease

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BackgroundOsteomyelitis (OM) is recognized as a significant challenge in orthopedics due to its complex immune and inflammatory responses. The prognosis heavily depends on timely diagnosis, accurate classification, and assessment of severity. Thus, the identification of diagnostic and classification‐related genes from an immunological standpoint is crucial for the early detection and tailored treatment of OM.MethodsTranscriptomic data for OM was sourced from the Gene Expression Omnibus (GEO) database, leading to the identification of autophagy‐ and immune‐related differentially expressed genes (AIR‐DEGs) through differential expression analysis. Diagnostic and classification models were subsequently developed. The CIBERSORT algorithm was utilized to examine immune cell infiltration in OM, and the relationship between OM clusters and various immune cells was explored. Key AIR‐DEGs were further validated through the creation of OM animal models.ResultsAnalysis of the transcriptomic data revealed three AIR‐DEGs that played a significant role in immune responses and pathways. Nomogram and receiver operating characteristic curve analyses were performed, demonstrating excellent diagnostic capability for differentiating between OM patients and healthy individuals, with an area under the curve of 0.814. An unsupervised clustering analysis discerned two unique patterns of autophagy‐ and immune‐related genes, as well as gene patterns. Further exploration into immune infiltration exhibited notable variances across different subtypes, especially between OM cluster 1 and gene cluster A, highlighting their potential role in mitigating inflammatory responses by regulating immune activities. Moreover, the mRNA and protein expression levels of three AIR‐DEGs in the animal model were aligned with those in the training and validation data sets.ConclusionsFrom an immunological perspective, a diagnostic model was successfully developed, and two distinct clustering patterns were identified. These contributions offer a significant resource for the early detection and personalized immunotherapy of patients with OM.

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“…For the specific procedure of OM model establishment, please refer to Zak et al 34 and our previously published article. 35 All experimental procedures were approved by the 920th Hospital of Joint Logistics Support Force Committee on Ethics for the care and use of laboratory animals (2022–075-01) and conducted in accordance with the Guide for the Care and Use of Laboratory Animals (National Institutes of Health, USA).…”

Section: Methodsmentioning

confidence: 99%

Identification of Ferroptosis-Related Biomarkers for Diagnosis and Molecular Classification of Staphylococcus aureus-Induced Osteomyelitis

Shi¹,

Tang²,

Ni³

et al. 2023

JIR

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Objective: Staphylococcus aureus (SA)-induced osteomyelitis (OM) is one of the most common refractory diseases in orthopedics. Early diagnosis is beneficial to improve the prognosis of patients. Ferroptosis plays a key role in inflammation and immune response, while the mechanism of ferroptosis-related genes (FRGs) in SA-induced OM is still unclear. The purpose of this study was to determine the role of ferroptosis-related genes in the diagnosis, molecular classification and immune infiltration of SA-induced OM by bioinformatics. Methods: Datasets related to SA-induced OM and ferroptosis were collected from the Gene Expression Omnibus (GEO) and ferroptosis databases, respectively. The least absolute shrinkage and selection operator (LASSO) and support vector machinerecursive feature elimination (SVM-RFE) algorithms were combined to screen out differentially expressed-FRGs (DE-FRGs) with diagnostic characteristics, and gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were used to explore specific biological functions and pathways. Based on these key DE-FRGs, a diagnostic model was established, and molecular subtypes were divided to explore the changes in the immune microenvironment between molecular subtypes. Results: A total of 41 DE-FRGs were identified. After screening and intersecting with LASSO and SVM-RFE algorithms, 8 key DE-FRGs with diagnostic characteristics were obtained, which may regulate the pathogenesis of OM through the immune response and amino acid metabolism. The ROC curve indicated that the 8 DE-FRGs had excellent diagnostic ability for SA-induced OM (AUC=0.993). Two different molecular subtypes (subtype 1 and subtype 2) were identified by unsupervised cluster analysis. The CIBERSORT analysis revealed that the subtype 1 OM had higher immune cell infiltration rates, mainly in T cells CD4 memory resting, macrophages M0, macrophages M2, dendritic cells resting, and dendritic cells activated. Conclusion:We developed a diagnostic model related to ferroptosis and molecular subtypes significantly related to immune infiltration, which may provide a novel insight for exploring the pathogenesis and immunotherapy of SA-induced OM.

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Macrophage migration inhibitory factor (MIF) inhibitor iSO-1 promotes staphylococcal protein A-induced osteogenic differentiation by inhibiting NF-κB signaling pathway

Cited by 5 publications

References 61 publications

Establishment and validation of a novel risk model based on CD8T cell marker genes to predict prognosis in thyroid cancer by integrated analysis of single-cell and bulk RNA-sequencing

Establishment and validation of a novel risk model based on CD8T cell marker genes to predict prognosis in thyroid cancer by integrated analysis of single-cell and bulk RNA-sequencing

Integrative gene expression analysis and animal model reveal immune‐ and autophagy‐related biomarkers in osteomyelitis

Identification of Ferroptosis-Related Biomarkers for Diagnosis and Molecular Classification of Staphylococcus aureus-Induced Osteomyelitis

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