Abstract:Antibodies are central effectors of the adaptive immune response, widespread used therapeutics, but also potentially disease-causing biomolecules. Antibody folding catalysts in the plasma cell are incompletely defined. Idiopathic pulmonary fibrosis (IPF) is a fatal chronic lung disease with increasingly recognized autoimmune features. We found elevated expression of FK506-binding protein 11 (FKBP11) in IPF lungs where FKBP11 specifically localized to antibody-producing plasma cells. Suggesting a general role i… Show more
“…Some results of this study are consistent with those of previous studies. The expression of FK506-binding protein (FKBP) prolyl isomerase 11 (FKBP11) is elevated in the lung tissues of patients with IPF, and FKBP11 specifically localises to antibody-producing plasma cells ( 64 ). In a study, compared with control mice, bleomycin-treated mice had an increased proportion of pulmonary IgA(+) germinal centres and plasma cells, and autoreactive IgA was identified as a diagnostic biomarker for IPF ( 65 ).…”
ObjectiveThis study aimed to identify candidate gene biomarkers associated with immune infiltration in idiopathic pulmonary fibrosis (IPF) based on machine learning algorithms.MethodsMicroarray datasets of IPF were extracted from the Gene Expression Omnibus (GEO) database to screen for differentially expressed genes (DEGs). The DEGs were subjected to enrichment analysis, and two machine learning algorithms were used to identify candidate genes associated with IPF. These genes were verified in a validation cohort from the GEO database. Receiver operating characteristic (ROC) curves were plotted to assess the predictive value of the IPF-associated genes. The cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm was used to evaluate the proportion of immune cells in IPF and normal tissues. Additionally, the correlation between the expression of IPF-associated genes and the infiltration levels of immune cells was examined.ResultsA total of 302 upregulated and 192 downregulated genes were identified. Functional annotation, pathway enrichment, Disease Ontology and gene set enrichment analyses revealed that the DEGs were related to the extracellular matrix and immune responses. COL3A1, CDH3, CEBPD, and GPIHBP1 were identified as candidate biomarkers using machine learning algorithms, and their predictive value was verified in a validation cohort. Additionally, ROC analysis revealed that the four genes had high predictive accuracy. The infiltration levels of plasma cells, M0 macrophages and resting dendritic cells were higher and those of resting natural killer (NK) cells, M1 macrophages and eosinophils were lower in the lung tissues of patients with IPF than in those of healthy individuals. The expression of the abovementioned genes was correlated with the infiltration levels of plasma cells, M0 macrophages and eosinophils.ConclusionCOL3A1, CDH3, CEBPD, and GPIHBP1 are candidate biomarkers of IPF. Plasma cells, M0 macrophages and eosinophils may be involved in the development of IPF and may serve as immunotherapeutic targets in IPF.
“…Some results of this study are consistent with those of previous studies. The expression of FK506-binding protein (FKBP) prolyl isomerase 11 (FKBP11) is elevated in the lung tissues of patients with IPF, and FKBP11 specifically localises to antibody-producing plasma cells ( 64 ). In a study, compared with control mice, bleomycin-treated mice had an increased proportion of pulmonary IgA(+) germinal centres and plasma cells, and autoreactive IgA was identified as a diagnostic biomarker for IPF ( 65 ).…”
ObjectiveThis study aimed to identify candidate gene biomarkers associated with immune infiltration in idiopathic pulmonary fibrosis (IPF) based on machine learning algorithms.MethodsMicroarray datasets of IPF were extracted from the Gene Expression Omnibus (GEO) database to screen for differentially expressed genes (DEGs). The DEGs were subjected to enrichment analysis, and two machine learning algorithms were used to identify candidate genes associated with IPF. These genes were verified in a validation cohort from the GEO database. Receiver operating characteristic (ROC) curves were plotted to assess the predictive value of the IPF-associated genes. The cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm was used to evaluate the proportion of immune cells in IPF and normal tissues. Additionally, the correlation between the expression of IPF-associated genes and the infiltration levels of immune cells was examined.ResultsA total of 302 upregulated and 192 downregulated genes were identified. Functional annotation, pathway enrichment, Disease Ontology and gene set enrichment analyses revealed that the DEGs were related to the extracellular matrix and immune responses. COL3A1, CDH3, CEBPD, and GPIHBP1 were identified as candidate biomarkers using machine learning algorithms, and their predictive value was verified in a validation cohort. Additionally, ROC analysis revealed that the four genes had high predictive accuracy. The infiltration levels of plasma cells, M0 macrophages and resting dendritic cells were higher and those of resting natural killer (NK) cells, M1 macrophages and eosinophils were lower in the lung tissues of patients with IPF than in those of healthy individuals. The expression of the abovementioned genes was correlated with the infiltration levels of plasma cells, M0 macrophages and eosinophils.ConclusionCOL3A1, CDH3, CEBPD, and GPIHBP1 are candidate biomarkers of IPF. Plasma cells, M0 macrophages and eosinophils may be involved in the development of IPF and may serve as immunotherapeutic targets in IPF.
“…Why FK506 displayed cell type-specific effects on coronavirus replication in our study remains unclear. The 15 human FKBPs that have so far been identified are characterized by divergent functions, cell type-specific expression, and highly variable binding affinities to FK506 ( Lammers et al., 2010 ; Staab-Weijnitz et al., 2015 ; Tong and Jiang, 2015 ; Preisendorfer et al., 2022 ). To date, it has not been elucidated which FKBP is responsible for the anti-coronaviral effect of FK506, and it is more than likely that FKBP expression differs considerably in the three cell types used.…”
Section: Discussionmentioning
confidence: 99%
“…They are also involved in protein folding as molecular chaperones and play a role in receptor signaling and protein trafficking. They are often cell type-specifically expressed and act on specific folding substrates ( Lammers et al., 2010 ; Staab-Weijnitz et al., 2015 ; Preisendorfer et al., 2022 ).…”
RationaleHuman coronaviruses (HCoVs) seriously affect human health by causing respiratory diseases ranging from common colds to severe acute respiratory diseases. Immunophilins, including peptidyl-prolyl isomerases of the FK506-binding protein (FKBP) and the cyclophilin family, are promising targets for pharmaceutical inhibition of coronavirus replication, but cell-type specific effects have not been elucidated. FKBPs and cyclophilins bind the immunosuppressive drugs FK506 and cyclosporine A (CsA), respectively.MethodsPrimary human bronchial epithelial cells (phBECs) were treated with CsA, Alisporivir (ALV), FK506, and FK506-derived non-immunosuppressive analogs and infected with HCoV-229E. RNA and protein were assessed by RT-qPCR and immunoblot analysis. Treatment with the same compounds was performed in hepatoma cells (Huh-7.5) infected with HCoV-229E expressing Renilla luciferase (HCoV-229E-RLuc) and the kidney cell line HEK293 transfected with a SARS-CoV-1 replicon expressing Renilla luciferase (SARS-CoV-1-RLuc), followed by quantification of luminescence as a measure of viral replication.ResultsBoth CsA and ALV robustly inhibited viral replication in all models; both compounds decreased HCoV-229E RNA in phBECs and reduced luminescence in HCoV-229E-RLuc-infected Huh7.5 and SARS-CoV-1-RLuc replicon-transfected HEK293. In contrast, FK506 showed inconsistent and less pronounced effects in phBECs while strongly affecting coronavirus replication in Huh-7.5 and HEK293. Two non-immunosuppressive FK506 analogs had no antiviral effect in any infection model.ConclusionThe immunophilin inhibitors CsA and ALV display robust anti-coronaviral properties in multiple infection models, including phBECs, reflecting a primary site of HCoV infection. In contrast, FK506 displayed cell-type specific effects, strongly affecting CoV replication in Huh7.5 and HEK293, but inconsistently and less pronounced in phBECs.
“…The cellular heterogeneity of IPF is further discussed by Preisendörfer et al, who stress the potential role of B cells in IPF pathobiology [ 16 ]. The pathological relevance of B-cell accumulation in the lungs of IPF patients is supported by the presence of circulating autoantibodies and the increased concentration of B-lymphocyte stimulator factor (BLyS) in IPF plasma.…”
mentioning
confidence: 99%
“…The latter may lead to higher susceptibility of A549 cells to ER stress-induced cell death. Although the authors failed to demonstrate the importance of FKBP11 for antibody production in the loss-of-function approaches, these results provide further evidence for the role of auto-immunogenicity in IPF pathogenesis [ 16 ].…”
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