Development of a Risk Model and Genotyping Patterns Based on Disulfidptosis-Related lncRNAs to Predict Prognosis and Immune Landscape in Osteosarcoma.

BACKGROUND: Osteosarcoma (OS) is the most prevalent orthopedic malignancy with a dismal prognosis. Disulfidptosis-related lncRNAs (DRLncs) may be related to the progression of OS, but their potential molecular regulatory role is still unclear. METHODS: Based on the data collected from The Cancer Genome Atlas (TCGA), we conducted correlation analysis and the univariate Cox analysis to screen prognosis-related DRLncs, followed by developing genotyping patterns and corresponding classifier. Subsequently, the survival analysis, enrichment analysis, drug sensitivity analysis and immune infiltration analysis were performed. Afterward, multivariate Cox regression was used to construct a risk model, which was further validated by the receiver operating characteristic (ROC) curve. The aberrant expression of hub DRLncs in OS was validated using the Reverse Transcription Polymerase Chain Reaction (RT-qPCR) assay. RESULTS: We identified 262 DRLncs and eleven prognosis-related DRLncs through filtering. We then constructed two distinct expression patterns of prognosis-related DRLncs and developed a classifier. We obtained 393 differentially expressed genes (DEGs) between different subtypes, which were significantly enriched in biological processes related to the extracellular matrix, integrin binding, focal adhesion, and Wnt signaling pathways. Through immune infiltration analysis, the activated CD4 memory T cells, resting natural killer (NK) cells, M1 macrophages, and resting dendritic cells (DC) were observed to exhibit different abundance in distinct subtypes. In the drug sensitivity analysis, tamoxifen showed a promising effect for drug-resistant OS. Furthermore, we identified five hub DRLncs and constructed a risk model. The RT-qPCR confirmed the aberrant expression of five hub DRLncs in OS. CONCLUSIONS: The present study identified DRLncs in OS, and conducted a comprehensive investigation of DRLncs-related expression patterns, survival status, immune landscape and drug sensitivity to reveal the difference in prognostic, pharmacological and immunological phenotype characteristics between distinct subtypes. Additionally, we developed a risk model to predict the prognosis, and constructed a genotyping classifier to predict the above phenotype characteristics in OS.

The IFT80/Hedgehog Pathway Regulates the Osteogenic-adipogenic Differentiation of Bone Marrow Mesenchymal Stem Cells.

BACKGROUND: Steroid-induced avascular necrosis of the femoral head (SANFH) is a typical refractory disease that often progresses irreversibly and has a high disability rate. Numerous studies have confirmed that abnormal osteogenic-adipogenic differentiation of bone marrow mesenchymal stem cells (BM-MSCs) is one of the major factors of SANFH. However, the mechanism remains to be elucidated. OBJECTIVES: This study aimed to investigate the mechanism and effect of the IFT80/Hedgehog-mediated osteogenic-adipogenic differentiation of BM-MSCs in SANFH. METHODS: Femoral head specimens of SANFH patients and femoral neck fractures (FNF) patients were collected to detect the expression of IFT80, Shh and osteogenic-adipogenic differentiation-related genes by immunohistochemistry (IHC), western blot (WB) and Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR). Based on the rabbit SANFH model, the mRNA expression and protein level of IFT80 and Shh were detected by RT-qPCR and WB. After the osteogenic/adipogenic differentiation based on rabbit BM-MSCs, the IFT80, Gli1, PPAR-γ, and Runx2 expression were detected. Differences in alkaline phosphodiesterase activity, calcium nodule, quantification/distribution of lipid droplets, expression of IFT80/Hedgehog axis, and the level of osteogenic- adipogenic associated factors were determined after IFT80 overexpression. RESULTS: RT-qPCR, WB and IHC revealed that IFT80 and Shh lowly expressed in the osteoblasts and intra-trabecular osteocytes at the edge of trabeculae and in the intercellular matrix of the bone marrow lumen in the SANFH specimens. The Runx2 expression was low, while the PPAR-γ expression was high in both human specimens and animal models of SANFH, suggesting that the balance of osteogenic-adipogenic differentiation was dysregulated. Rabbit BM-MSCs with stable overexpression of IFT80 showed increased alkaline phosphatase activity after induction of osteogenic differentiation, increased calcium nodule production, and decreased adipogenesis after induction of adipogenic differentiation. CONCLUSION: There is a dysregulation of the balance of osteogenic-adipogenic differentiation in SANFH. IFT80 may inhibit adipogenic differentiation while promoting osteogenic differentiation in rabbit BM-MSCs by activating the Hedgehog pathway.

Verification of cuproptosis-related diagnostic model associated with immune infiltration in rheumatoid arthritis.

Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease closely related to inflammation. Cuproptosis is a newly discovered unique type of cell death, and it has been found that it may play an essential role in the occurrence and development of RA. Therefore, we intend to explore the potential association between cuproptosis-related genes (CRGs) and RA to provide a new biomarker for the treatment and prognosis of RA. Methods: Download GSE93777 datasets from the GEO database. Variance analysis was performed on the CRGs that had been reported. Then, the random forest (RF) model and nomogram of differentially expressed CRGs were constructed, and the ROC curve was used to evaluate the accuracy of the diagnostic model. Next, RA patients were subtyped by consensus clustering, and immune infiltration was analyzed in each subgroup to confirm the correlation between CRGs and abundance of immune cells. The expression levels of CRGs were verified by qRT-PCR. Results: Eight differentially expressed CRGs (DLST, DLD, PDHB, PDHA1, ATP7A, CDKN2A, LIAS, DLAT) were screened out by differential analysis to construct an RF model. The ROC curve proved that this model had good diagnostic accuracy. Based on the above eight significant CRGs, a nomogram was built to predict effective and high-precision results. The consensus clustering method identified two CRG patterns. Most of the immune cells were enriched in cluster A, indicating that cluster A may be related to the development of RA. Finally, qRT-PCR verified the expression of eight key genes, further confirming our findings. Conclusion: The diagnosis model of RA based on the above eight CRGs has excellent diagnostic potential. Based on these, patients can be divided into two different molecular subtypes; it is expected to develop a new treatment strategy for RA.

Exosome-mediated miR-144-3p promotes ferroptosis to inhibit osteosarcoma proliferation, migration, and invasion through regulating ZEB1.

BACKGROUND: Osteosarcoma (OS) is the most prevalent orthopedic malignancy with a dismal prognosis. The high iron absorption rate in OS cells of patients suggests that ferroptosis may be related to the progression of OS, but its potential molecular regulatory role is still unclear. Based on the ability to couple with exosomes for targeted delivery of signals, exosome-derived micro ribonucleic acids (miRNAs) can potentially serve as diagnostic biomarkers for OS. METHODS: We identified ferroptosis-related miRNAs and messenger ribonucleic acids(mRNAs) in OS using bioinformatics analysis and performed survival analysis. Then we measured miRNA expression levels through exosome microarray sequencing, and used RT-qPCR and IHC to verify the expression level of miR-144-3p and ZEB1. Stable gene expression cell lines were fabricated for in vitro experiments. Cell viability, migration and invasion were determined by CCK-8 and transwell experiment. Use the corresponding reagent kit to detect GSH/GSSG ratio, Fe2+ level, MDA level and ROS level, and measure the expression levels of GPX4, ACSL4 and xCT through RT-qPCR and WB. We also constructed nude mice model for in vivo experiments. Finally, the stability of the miRNA/mRNA axis was verified through functional rescue experiments. RESULTS: Low expression of miR-144-3p and high expression of ZEB1 in OS cell lines and tissues was observed. Overexpression of miR-144-3p can promote ferroptosis, reduce the survival ability of OS cells, and prevent the progression of OS. In addition, overexpression of miR-144-3p can downregulate the expression of ZEB1 in cell lines and nude mice. Knockdown of miR-144-3p has the opposite effect. The functional rescue experiment validated that miR-144-3p can regulate downstream ZEB1, and participates in the occurrence and development of OS by interfering with redox homeostasis and iron metabolism. CONCLUSIONS: MiR-144-3p can induce the occurrence of ferroptosis by negatively regulating the expression of ZEB1, thereby inhibiting the proliferation, migration, and invasion of OS cells.