Identification of cuproptosis-related subtypes, characterization of immune microenvironment infiltration, and development of a prognosis model for osteoarthritis.

Background: Osteoarthritis (OA) is a prevalent chronic joint disease with an obscure underlying molecular signature. Cuproptosis plays a crucial role in various biological processes. However, the association between cuproptosis-mediated immune infifiltration and OA progression remains unexplored. Therefore, this study elucidates the pathological process and potential mechanisms underlying cuproptosis in OA by constructing a columnar line graph model and performing consensus clustering analysis. Methods: Gene expression profifile datasets GSE12021, GSE32317, GSE55235, and GSE55457 of OA were obtained from the comprehensive gene expression database. Cuproptosis signature genes were screened by random forest (RF) and support vector machine (SVM). A nomogram was developed based on cuproptosis signature genes. A consensus clustering was used to distinguish OA patients into different cuproptosis patterns. To quantify the cuproptosis pattern, a principal component analysis was developed to generate the cuproptosis score for each sample. Single-sample gene set enrichment analysis (ssGSEA) was used to provide the abundance of immune cells in each sample and the relationship between these significant cuproptosis signature genes and immune cells.To quantify the cuproptosis pattern, a principal component analysis technique was developed to generate the cuproptosis score for each sample. Cuproptosis-related genes were extracted and subjected to differential expression analysis to construct a disease prediction model and confifirmed by RT-qPCR. Results: Seven cuproptosis signature genes were screened (DBT, LIPT1, GLS, PDHB, FDX1, DLAT, and PDHA1) to predict the risk of OA disease. A column line graph model was developed based on these seven cuproptosis signature genes, which may assist patients based on decision curve analysis. A consensus clustering method was used to distinguish patients with disorder into two cuproptosis patterns (clusters A and B). To quantify the cuproptosis pattern, a principal component analysis technique was developed to generate the cuproptosis score for each sample. Furthermore, the OA characteristics of patients in cluster A were associated with the inflflammatory factors IL-1b, IL-17, IL-21, and IL-22, suggesting that the cuproptosis signature genes play a vital role in the development of OA. Discussion: In this study, a risk prediction model based on cuproptosis signature genes was established for the fifirst time, and accurately predicted OA risk. In addition, patients with OA were classifified into two cuproptosis molecule subtypes (clusters A and B); cluster A was highly associated with Th17 immune responses, with higher IL-1b, IL-17, and IL-21 IL-22 expression levels, while cluster B had a higher correlation with cuproptosis. Our analysis will help facilitate future research related cuproptosis-associated OA immunotherapy. However, the specifific mechanisms remain to be elucidated.

ZBTB16 eases lipopolysaccharide­elicited inflammation, apoptosis and degradation of extracellular matrix in chondrocytes during osteoarthritis by suppressing GRK2 transcription.

Osteoarthritis (OA) is a chronic degenerative disease of the bone that is a major contributor of disability in the elderly population. Zinc finger and BTB domain-containing 16 (ZBTB16) is a transcription factor that has been previously revealed to be impaired in human OA tissues. The present study was designed to elaborate the potential impact of ZBTB16 on OA and to possibly assess any latent regulatory mechanism. ZBTB16 expression in human OA tissues was examined using the Gene Expression Series (GSE) database (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE169077) whereas ZBTB16 expression in chondrocytes was examined using reverse transcription-quantitative PCR (RT-qPCR) and western blotting. Cell viability was examined using a Cell Counting Kit-8 assay. A TUNEL assay and western blotting were used to assess cell apoptosis and apoptosis-related markers, including Bcl-2, Bax and cleaved caspase-3. The levels and expression of inflammatory factors, including TNF-α, IL-1ß and IL-6, were determined by ELISA and western blotting. RT-qPCR and western blotting were also used to analyze the expression levels of extracellular matrix (ECM)-degrading enzymes, including MMP-13, a disintegrin-like and metalloproteinase with thrombospondin type-1 motifs-5, aggrecan and collagen type II α1. After the potential binding of ZBTB16 with the G protein coupled receptor kinase type 2 (GRK2) promoter was predicted using the Cistrome DB database, GRK2 expression was confirmed by RT-qPCR and western blotting. Chromatin immunoprecipitation and luciferase reporter assays were then used to determine the potential interaction between ZBTB16 and the GRK2 promoter. Following GRK2 overexpression in ZBTB16-overexpressing chondrocytes by co-transfection of GRK2 and ZBTB16 overexpression plasmids, the aforementioned functional experiments were performed again. ZBTB16 expression was found to be reduced in human OA tissues compared with in normal cartilage tissues and lipopolysaccharide (LPS)-stimulated chondrocytes. ZBTB16 overexpression increased cell viability whilst decreasing apoptosis, inflammation and ECM degradation by LPS-treated chondrocytes. In addition, GRK2 expression was found to be increased in LPS-stimulated chondrocytes. ZBTB16 successfully bound to the GRK2 promoter, which negatively modulated GRK2 expression. GRK2 upregulation reversed the effects of ZBTB16 overexpression on the viability, apoptosis, inflammation and ECM degradation by LPS-challenged chondrocytes. In conclusion, these data suggest that ZBTB16 may inhibit the development of OA through the transcriptional inactivation of GRK2.

Hyperoside exerts osteoprotective effect on dexamethasone-induced osteoblasts by targeting NADPH Oxidase 4 (NOX4) to inhibit the reactive oxygen species (ROS) accumulation and activate c-Jun N-terminal kinase (JNK) pathway.

Hyperoside (Hyp) is a flavonoid active compound deriving from Chinese herbal medicines. Increasing studies have implicated that Hyp may serve as a predominant promoting factor in osteoblast differentiation. This paper investigates whether Hyp could relieve glucocorticoid-induced osteonecrosis of the femoral head (GONFH) via promoting osteoblast survival and differentiation as well as to uncover its potential mechanism. GONFH cell model was induced by treating MC3T3-E1 cells with dexamethasone (DEX). The viability, apoptosis, and osteogenic differentiation of DEX-induced cells with the presence or absence of Hyp were assessed by CCK-8, Tunel, ALP assay, and ARS staining, respectively. The NADPH Oxidase 4 (NOX4) overexpression was performed by transfection with overexpression vector. Besides, western blot was used to determine the levels of apoptosis-, osteogenic differentiation-, and c-Jun N-terminal kinase (JNK) signaling-related proteins. It was noticed that Hyp caused no significant effects on the viability of MC3T3-E1 cells without any treatment but significantly enhanced the viability of DEX-induced cells. Besides, Hyp inhibited the apoptosis in DEX-induced cells but enhanced ALP activity and calcium nodule formation. Additionally, Hyp declined NOX4 expression in DEX-induced cells. However, NOX4 overexpression partially reversed the impacts of Hyp on DEX-exposed MC3T3-E1 cells. Finally, Hyp suppressed the activation of ROS/JNK pathway in DEX-induced cells, which was then counteracted by NOX4 overexpression. In conclusion, Hyp could promote the survival and differentiation of DEX-induced osteoblasts by targeting NOX4 to inhibit the ROS/JNK pathway. These results provide evidence for the application of Hyp in treating GONFH.