Comprehensive analysis of anoikis-related genes in diagnosis osteoarthritis: based on machine learning and single-cell RNA sequencing data.

Osteoarthritis (OA) is a degenerative disease closely associated with Anoikis. The objective of this work was to discover novel transcriptome-based anoikis-related biomarkers and pathways for OA progression.The microarray datasets GSE114007 and GSE89408 were downloaded using the Gene Expression Omnibus (GEO) database. A collection of genes linked to anoikis has been collected from the GeneCards database. The intersection genes of the differential anoikis-related genes (DEARGs) were identified using a Venn diagram. Infiltration analyses were used to identify and study the differentially expressed genes (DEGs). Anoikis clustering was used to identify the DEGs. By using gene clustering, two OA subgroups were formed using the DEGs. GSE152805 was used to analyse OA cartilage on a single cell level. 10 DEARGs were identified by lasso analysis, and two Anoikis subtypes were constructed. MEgreen module was found in disease WGCNA analysis, and MEturquoise module was most significant in gene clusters WGCNA. The XGB, SVM, RF, and GLM models identified five hub genes (CDH2, SHCBP1, SCG2, C10orf10, P FKFB3), and the diagnostic model built using these five genes performed well in the training and validation cohorts. analysing single-cell RNA sequencing data from GSE152805, including 25,852 cells of 6 OA cartilage.

Identification and validation of an anoikis-related lncRNA signature to predict prognosis and immune landscape in osteosarcoma.

Background: Anoikis is a specialized form of programmed apoptosis that occurs in two model epithelial cell lines and plays an important role in tumors. However, the prognostic value of anoikis-related lncRNA (ARLncs) in osteosarcoma (OS) has not been reported. Methods: Based on GTEx and TARGET RNA sequencing data, we carried out a thorough bioinformatics analysis. The 27 anoikis-related genes were obtained from the Gene Set Enrichment Analysis (GSEA). Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) analysis were successively used to screen for prognostic-related ARLncs. To create the prognostic signature of ARLncs, we performed multivariate Cox regression analysis. We calculated the risk score based on the risk coefficient, dividing OS patients into high- and low-risk subgroups. Additionally, the relationship between the OS immune microenvironment and risk prognostic models was investigated using function enrichment, including Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), single-sample gene set enrichment analysis (ssGSEA), and GSEA analysis. Finally, the potential effective drugs in OS were found by immune checkpoint and drug sensitivity screening. Results: A prognostic signature consisting of four ARLncs (AC079612.1, MEF2C-AS1, SNHG6, and TBX2-AS1) was constructed. To assess the regulation patterns of anoikis-related lncRNA genes, we created a risk score model. According to a survival analysis, high-risk patients have a poor prognosis as they progress. By using immune functional analysis, the lower-risk group demonstrated the opposite effects compared with the higher-risk group. GO and KEGG analysis showed that the ARLncs pathways and immune-related pathways were enriched. Immune checkpoints and drug sensitivity analysis might be used to determine the better effects of the higher group. Conclusion: We identified a novel prognostic model based on a four-ARLncs signature that might serve as potential prognostic indicators that can be used to predict the prognosis of OS patients, and immunotherapy and drugs that may contribute to improving the overall survival of OS patients and advance our understanding of OS.

Immunotherapeutic effects of allogeneic mesenchymal stem cells on systemic lupus erythematosus.

Mesenchymal stem cells have been applied to treat graft versus host disease as they have immunosuppressive ability and can overcome the major histocompatibility complex-histocompatibility barrier. The potential of allogeneic mesenchymal stem cells in treating systemic lupus erythematosus (SLE) was investigated in this study. MRL/lpr mice which can develop acquired SLE-like phenotypes were selected as an animal model. Mesenchymal stem cells obtained from green fluorescent protein-transgenic ICR mice were infused into MRL/lpr mice at either the early or late stage of disease. The dosage was 1 × 106/mice per infusion. Mice were stratified into six groups including negative controls and those receiving one, two, three, four or five doses at 2-weekly intervals. The phenotypes were monitored regularly. After treatment, the spleen CD3+CD4-CD8- T and CD19+ B cells of two-dose mesenchymal stem cell-treated mice were significantly lower than those of the phosphate-buffered saline control. In terms of reducing the severity of SLE such as hair loss, skin ulcers, proteinuria and anti-dsDNA level, mesenchymal stem cells given at the early stage responded better and mice receiving two doses of mesenchymal stem cells performed better than those receiving either a lower dose (one dose) or higher doses (three, four or five doses). In conclusion, early treatment and an optimal dose of mesenchymal stem cells can effectively suppress the murine SLE model.

[Plasma from patients with systemic lupus erythematosus inhibits suppressive activity of mesenchymal stem cells against lupus B lymphocytes].

OBJECTIVE: To investigate whether plasma from patients with systemic lupus erythematosus (SLE) inhibits the suppressive effects of mesenchymal stem cells (MSCs) on lupus B lymphocytes. METHODS: MSCs isolated and expanded from the bone marrow of healthy donors were co-cultured with B cells purified from the peripheral blood of SLE patients in the presence of fetal bovine serum or pooled plasma from SLE patients, and the proliferation and maturation of the B lymphocytes were analyzed. RESULTS: s Co-culture with normal MSCs obviously inhibited the proliferation of lupus B cells and suppressed the maturation of B lymphocytes, which showed lowered expressions of CD27 and CD38. The pooled plasma from SLE patients significantly inhibited the suppressive effects of normal MSCs on B cell proliferation and maturation. CONCLUSION: Plasma from SLE patients negatively modulates the effects of normal MSCs in suppressing lupus B cell proliferation and maturation to affect the therapeutic effect of MSC transplantation for treatment of SLE. Double filtration plasmapheresis may therefore prove beneficial to enhance the therapeutic effects of MSC transplantation for SLE.