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.

[Manipulative reduction with minimally invasive percutaneous plate osteosynthesis for 60 patients with distal tibiofibular fractures].

OBJECTIVE: To explore clinical effects of manipulative reduction with minimally invasive percutaneous plate osteosynthesis in treating distal tibiofibular fractures. METHODS: From 2009 to 2011, 60 patients with distal tibiofibular fractures were treated by manipulative reduction with minimally invasive percutaneous plate osteosynthesis. Among them, there were 32 males and 28 females aged from 14 to 70 years old with an average of 41.22 +/- 2.06. According to AO classification of fractures,5 cases were type A1, 22 cases were type A2,21 cases were type A3 and 12 cases were type C1. Operation time, blood loss,time of callus and fracture healing were observed, Mazur scoring of ankle joint were used to evaluate therapeutic. RESULTS: Fifty-eight incisions were healed at stage I ,and 2 cases were infected at distal tibial. Operation time was with an average of (62.34 +/- 5.66) min ranged 45 to 90 min;blood loss was 30 to 150 ml with an average of (80.57 +/- 5.59) ml;formation of callus appeared from 4 to 12 weeks,with an average of (8.24 +/- 2.06) weeks, and fracture healing time was from 3 to 6 months, with an average of (4.50 +/- 1.13) months. According to Mazur scoring of ankle joint 40 cases got excellent results, 18 good, and 2 fair. CONCLUSION: Manipulative reduction with minimally invasive percutaneous plate osteosynthesis can obtain reliable fixation. It is a good choice of treating distal tibiofibular fractures by protecting blood supply of fractures.

[Effects of fungal elicitor on inophyllums production in suspension cultured cells of Calophyllum inophyllum L].

AIM: To investigate the effects of fungal elicitors on inophyllums production in suspension cultured cell of Calophyllum inophyllum Linn. METHODS: The pathogen of leaf spot disease of C. inophyllum L. was isolated and prepared as fungal elicitor. The fungal elicitor was added to the medium with different concentrations and culture period. Their effects on biomass and inophyllums content of the suspension of cultured cells were studied. RESULTS: The optimum effects of S-I fungal elicitor concentrations on inophyllums content was 60 mg GE x L(-1). Adding the fungi elicitor into the cell suspension culture system at stationary phase (being cultured for 18 days) resulted in a highest inophyllum content of 59.174 mg x L(-1) at the 3rd day with 27% higher than control. Fungal elicitor treatment promoted the inophyllums accumulation in medium. CONCLUSION: Adding the Stagonospora curtisii (Berk.) Sacc. to the medium was effective approaches to enhance inophyllums yield in the suspension of C. inophyllum L culture cell.