Down-regulated miR-495 can target programmed cell death 10 in ankylosing spondylitis

PDCD10/CCM3, a potential target for pancreatic ductal adenocarcinoma?

Malignant progression of pancreatic ductal adenocarcinoma (PDAC) is driven by transforming growth factor (TGF)-β1 through extensive cross-talk with other signalling pathways. Prompted by the observation that the ubiquitous protein programmed cell death 10 (PDCD10) is more abundantly expressed in PDAC tumour tissue compared with normal pancreas and highly correlated with reduced patient survival, authors examined its function as a modulator of TGF-β signalling in PDAC. Cytotoxicity assays with PDAC-derived tumour cell lines, PaTu8902 (DPC4+/+) and PaTu8988t (DPC4-/-) engineered to homozygously lack PDCD10 showed that PDCD10 renders cells more chemoresistant to anticancer drugs. Moreover, PDCD10 promoted TGF-β1-dependent proliferation by inactivating the retinoblastoma 1 protein (pRb) via a SMAD4-dependent pathway, and TGF-β1-driven EMT by increasing ERK1/2 activation via a non-SMAD4 pathway. Phosphorylation of pRB and ERK by PDCD10 is facilitated by binding of PDCD10 to MST4. Targeting PDCD10 in PDAC patients may represent a promising new strategy to improve TGF-β targeted therapies.

Unveiling Cuproptosis-Driven Molecular Clusters and Immune Dysregulation in Ankylosing Spondylitis

Background

Ankylosing spondylitis (AS) is a chronic autoimmune disease characterized by inflammation of the sacroiliac joints and spine. Cuproptosis is a newly recognized copper-induced cell death mechanism. Our study explored the novel role of cuproptosis-related genes (CRGs) in AS, focusing on immune cell infiltration and molecular clustering.

Methods

By analyzing the peripheral blood gene expression datasets obtained from GSE73754, GSE25101, and GSE11886, we identified the expression patterns of cellular factors and immune infiltration cell related to cuproptosis. Subsequently, we employed weighted gene co-expression network analysis (WGCNA) to identify differentially expressed genes (DEGs) within each cluster and utilized the "GSVA" and "GSEABase" software packages to examine variations in gene sets enriched across various CRG clusters. Finally, we selected the best-performing machine learning model to predict genes associated with AS. Datasets (GSE25101 and GSE73754) and ELISA to assess the expression levels of the five genes and their corresponding proteins.

Results

Seven cuproptosis-related DEGs and four immune cell types were identified, revealing significant immune heterogeneity in the immune cell infiltration between the two cuproptosis-related molecular clusters in AS. The eXtreme Gradient Boosting (XGB) model showed the highest predictive accuracy, achieving an area under the receiver operating characteristic curve (AUC) of 0.725, and 5-gene prediction models were established. It showed satisfactory performance in the GSE25101 dataset (AUC = 0.812). According to the blood serum samples of AS patients and controls, PELI1 had a higher expression level (AUC = 0.703, p = 0.07), while ICAM2 and RANGAP1 had lower expression levels (AUC = 0.724, 0.745, and p = 0.011, 0.000, respectively) in AS patients.

Conclusion

We explored the correlation of cuproptosis in AS, and developed the optimal machine learning model to identify high-risk genes associated with AS. We also explored the pathogenesis and treatment strategies of AS, targeting PELI1, ICAM2, and RANGAP1.

CXCL8, MMP12, and MMP13 are common biomarkers of periodontitis and oral squamous cell carcinoma

OBJECTIVE

To analysis the relationship between periodontitis (PD) and oral squamous cell carcinoma (OSCC) by bioinformatic analysis.

MATERIALS AND METHODS

We analyzed the gene expression profiles of PD (GSE16134) from the Gene Expression Omnibus (GEO) database and OSCC samples from TCGA-HNSC (head and neck squamous cell carcinoma) and identified common differentially expressed genes (DEGs) in PD and OSCC. Then, functional annotation and signaling pathway enrichment, protein interaction network construction, and hub gene identification were performed. Subsequently, the function and signaling pathway enrichment of hub genes, miRNA interaction, and transcription factor interaction analyses were carried out. We analyzed GSE10334 and GSE30784 as validation datasets, and performed qRT-PCR experiments simultaneously for validation, and obtained 4 hub genes. Finally, immune infiltration analysis and clinical correlation analysis of 4 hub genes and related miRNAs were performed.

RESULTS

We identified 31 DEGs (16 up-regulated and 15 down-regulated). Four hub genes were obtained by qRT-PCR and validation dataset analysis, including IL-1β, CXCL8, MMP12, and MMP13. The expression levels of them were all significantly upregulated in both diseases. The functions of these genes focus on three areas: neutrophil chemotaxis, migration, and CXCR chemokine receptor binding. Key pathways include IL-17 signaling pathway, chemokine signaling pathway, and cytokine-cytokine receptor interactions pathway. Immune infiltration analysis showed that the expressions of 4 hub genes were closely related to a variety of immune cells. ROC curve analysis indicated that AUCs of 4 hub genes are all greater than 0.7, among which MMP12 and MMP13 were greater than 0.9. Kaplan-Meier survival analysis indicated that worse OS was strongly correlated with CXCL8 and MMP13 high-expression groups. MMP12 low-expression group was strongly associated with worse OS. The results of multivariate Cox regression analysis showed that age, N stage, CXCL8, MMP12, and MMP13 were independent prognostic factors for OS. We also identified 3 miRNAs, including hsa-miR-19b-3p, hsa-miR-181b-2-3p, and hsa-miR-495-3p, that were closely related to 4 hub genes. Hsa-miR-495-3p is closely related to the diagnosis and prognosis of OSCC.

CONCLUSIONS

We identified 4 hub genes between PD and OSCC, including IL-1β, CXCL8, MMP12, and MMP13. These genes may mediate the co-morbid process of PD and OSCC through inflammation-related pathways such as the IL-17 signaling pathway. It is worth noting that CXCL8, MMP12, and MMP13 have great significance in the diagnosis and prognosis of OSCC.

Acrylamide induces human chondrocyte cell death by initiating autophagy‑dependent ferroptosis

Acrylamide (ACR) is formed during heat treatment of foodstuffs and ACR may serve as a probable malignant neoplastic disease agent in all organs and tissues of the human body. However, it is unknown if ACR is associated with ankylosing spondylitis (AS) pathogenesis. Cell viability and proliferation were determined using CCK-8 assay and EdU staining. Flow cytometry was used to determine cell death and cell cycle arrest. Intracellular lipid reactive oxygen species, Fe²⁺ and mitochondrial membrane potential (MMP) were analyzed using a C11-BODIPY581/591 fluorescent probe, FerroOrange staining and a JC-1 MMP Assay kit, respectively. The present study showed that ACR decreased chondrocyte cell viability in a dose-dependent manner and that ACR significantly promoted chondrocyte senescence. ACR also elevated the expression of cell cycle arrest-associated proteins, including p53, cyclin-dependent kinase inhibitor 1 and cyclin-dependent kinase inhibitor protein, in human chondrocytes. Similarly, DNA damage was also enhanced following ACR treatment in chondrocytes. In addition, the ferroptosis-specific inhibitor ferrostatin-1 (Fer-1) and the autophagy inhibitor 3-methyladenine abolished ACR-induced cell death in chondrocytes. ACR was shown to activate autophagic flux and induce mitochondrial dysfunction by increasing the MMP. Western blot analysis of ferroptosis-related proteins demonstrated that ACR decreased the expression of glutathione peroxidase 4, solute carrier family 7 member 11, transferrin receptor protein 1 and ferritin heavy chain 1 in chondrocytes whereas Fer-1 abolished these effects. ACR treatment significantly elevated the phosphorylation levels of AMP-activated protein kinase (AMPK) and serine/threonine-protein kinase ULK1 in human chondrocytes. Notably, the effect of ACR was diminished by knockdown of AMPK, as evidenced by reduced lipid reactive oxygen species accumulation and Fe²⁺ levels. Hence, ACR inhibited cell proliferation and contributed to cell death by inducing autophagy-dependent ferroptosis while promoting autophagy by activating AMPK-ULK1-mTOR signaling in human chondrocytes. It was hypothesized that the presence of ACR in foodstuffs may increase the risk of AS and that decreasing ACR in food products is of importance.

The Dual Role of PDCD10 in Cancers: A Promising Therapeutic Target

Programmed cell death 10 (PDCD10) was initially considered as a protein associated with apoptosis. However, recent studies showed that PDCD10 is actually an adaptor protein. By interacting with multiple molecules, PDCD10 participates in various physiological processes, such as cell survival, migration, cell differentiation, vesicle trafficking, cellular senescence, neurovascular development, and gonadogenesis. Moreover, over the past few decades, accumulating evidence has demonstrated that the aberrant expression or mutation of PDCD10 is extremely common in various pathological processes, especially in cancers. The dysfunction of PDCD10 has been strongly implicated in oncogenesis and tumor progression. However, the updated data seem to indicate that PDCD10 has a dual role (either pro- or anti-tumor effects) in various cancer types, depending on cell/tissue specificity with different cellular interactors. In this review, we aimed to summarize the knowledge of the dual role of PDCD10 in cancers with a special focus on its cellular function and potential molecular mechanism. With these efforts, we hoped to provide new insight into the future development and application of PDCD10 as a clinical therapeutic target in cancers.

Landscape of immune infiltration in entorhinal cortex of patients with Alzheimerʼs disease

Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases and manifests as progressive memory loss and cognitive dysfunction. Neuroinflammation plays an important role in the development of Alzheimer’s disease and anti-inflammatory drugs reduce the risk of the disease. However, the immune microenvironment in the brains of patients with Alzheimer’s disease remains unclear, and the mechanisms by which anti-inflammatory drugs improve Alzheimer’s disease have not been clearly elucidated. This study aimed to provide an overview of the immune cell composition in the entorhinal cortex of patients with Alzheimer’s disease based on the transcriptomes and signature genes of different immune cells and to explore potential therapeutic targets based on the relevance of drug targets. Transcriptomics data from the entorhinal cortex tissue, derived from GSE118553, were used to support our study. We compared the immune-related differentially expressed genes (irDEGs) between patients and controls by using the limma R package. The difference in immune cell composition between patients and controls was detected via the xCell algorithm based on the marker genes in immune cells. The correlation between marker genes and immune cells and the interaction between genes and drug targets were evaluated to explore potential therapeutic target genes and drugs. There were 81 irDEGs between patients and controls that participated in several immune-related pathways. xCell analysis showed that most lymphocyte scores decreased in Alzheimer’s disease, including CD4⁺ Tc, CD4⁺ Te, Th1, natural killer (NK), natural killer T (NKT), pro-B cells, eosinophils, and regulatory T cells, except for Th2 cells. In contrast, most myeloid cell scores increased in patients, except in dendritic cells. They included basophils, mast cells, plasma cells, and macrophages. Correlation analysis suggested that 37 genes were associated with these cells involved in innate immunity, of which eight genes were drug targets. Taken together, these results delineate the profile of the immune components of the entorhinal cortex in Alzheimer’s diseases, providing a new perspective on the development and treatment of Alzheimer’s disease.

The Potential Role of Genetics, Environmental Factors, and Gut Dysbiosis in the Aberrant Non-Coding RNA Expression to Mediate Inflammation and Osteoclastogenic/Osteogenic Differentiation in Ankylosing Spondylitis

Ankylosing spondylitis (AS) or radiographic axial spondyloarthritis is a chronic immune-mediated rheumatic disorder characterized by the inflammation in the axial skeleton, peripheral joints, and soft tissues (enthesis, fascia, and ligament). In addition, the extra-skeletal complications including anterior uveitis, interstitial lung diseases and aortitis are found. The pathogenesis of AS implicates an intricate interaction among HLA (HLA-B27) and non-HLA loci [endoplasmic reticulum aminopeptidase 1 (ERAP1), and interleukin-23 receptor (IL23R), gut dysbiosis, immune plasticity, and numerous environmental factors (infections, heavy metals, stress, cigarette smoking, etc.) The latter multiple non-genetic factors may exert a powerful stress on epigenetic regulations. These epigenetic regulations of gene expression contain DNA methylation/demethylation, histone modifications and aberrant non-coding RNAs (ncRNAs) expression, leading to inflammation and immune dysfunctions. In the present review, we shall discuss these contributory factors that are involved in AS pathogenesis, especially the aberrant ncRNA expression and its effects on the proinflammatory cytokine productions (TNF-α, IL-17 and IL-23), T cell skewing to Th1/Th17, and osteoclastogenic/osteogenic differentiation. Finally, some potential investigatory approaches are raised for solving the puzzles in AS pathogenesis.

MicroRNAs as Biomarkers for the Diagnosis of Ankylosing Spondylitis: A Systematic Review and Meta-Analysis

Background: Abnormal expression levels of microRNAs (miRNAs) were observed in ankylosing spondylitis (AS) in recent articles, suggesting that miRNAs may be used as biomarkers for AS diagnoses. In this paper, we conducted a meta-analysis to identify the overall diagnostic accuracy of miRNA biomarkers in AS patients. Methods: An extensive search was undertaken in PubMed, Embase, Cochrane databases, and Wan Fang database up to 30 December 2020 using the following key words: ("microRNAs" or "microRNA" or "miRNA" or "miR" or "RNA, Micro" or "Primary MicroRNA") and ("Spondylitis Ankylosing" or "Spondyloarthritis Ankylopoietica" or "Ankylosing Spondylarthritis" or "Ankylosing Spondylarthritides" or "Spondylarthritides Ankylosing" or "Ankylosing Spondylitis") and ("blood" or "serum" or "plasma"). Statistical evaluation of dysregulated miRNAs using the sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the area under the curve (AUC). Results: Twenty-nine articles reporting on the miRNAs of AS were included. A total of 42 miRNAs were observed to be up-regulated and 45 miRNAs were down-regulated in the AS cases compared with the controls. Besides, 29 studies from nine articles were included in our meta-analysis. The pooled sensitivity, specificity, PLR, NLR, DOR, and AUC were 0. 76 (95% CI, 0.70-0.81), 0.80 (95% CI, 0.74-0.85), 3.75 (95% CI, 2.82-5.01), 0.30 (95% CI, 0.24-0.39), 12.32 (95% CI, 7.65-19.83), 0.85 (95% CI, 0.81-0.88), respectively, suggesting a good diagnostic accuracy of miRNAs for AS. Conclusions: Circulating miRNAs are deregulated in AS patients. miRNAs may be used as a relatively non-invasive biomarkers for the detection of AS.

METTL3‑mediated m6A modification of Bcl‑2 mRNA promotes non‑small cell lung cancer progression

Methyltransferase‑like 3 (METTL3) is an RNA methyltransferase that mediates modification of N6‑methyladenosine (m6A), which serves as an oncogene in various types of cancer. The role of m6A modification in the onset and progression of cancer has attracted growing attention. However, the functional and regulatory mechanisms of METTL3 in non‑small cell lung cancer (NSCLC) progression are still poorly understood. In the present study, METTL3 expression in NSCLC tissue was analyzed using the Gene Expression Profiling Interactive Analysis database. Western blotting and reverse transcription‑quantitative PCR were performed to evaluate the expression of METTL3 in NSCLC tissue and cell lines. Here, knockdown and overexpression of METTL3 notably decreased NSCLC cell viability, apoptosis and migration in vitro and, as well as tumorigenicity in vivo. Expression of METTL3 was upregulated in NSCLC tissue. METTL3 overexpression promoted cell viability and migration in NSCLC, while knockdown of METTL3 yielded the opposite result in vivo and in vitro. METTL3 increased Bcl‑2 translation via m6A modification, which increased viability and enhanced migration of NSCLC cells. METTL3 served as an oncogene in NSCLC via METTL3‑mediated Bcl‑2 mRNA m6A modification, which indicated that targeting METTL3 may be an effective therapeutic strategy for clinical management of NSCLC.

RETRACTED: MicroRNA-204-GSDMD interaction regulates pyroptosis of fibroblast-like synoviocytes in ankylosing spondylitis

This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor-in-Chief. Concern was raised about the reliability of the Western blot results in Figs. 1D and 2D+F, which appear to have the same eyebrow shaped phenotype as many other publications tabulated here (https://docs.google.com/spreadsheets/d/149EjFXVxpwkBXYJOnOHb6RhAqT4a2llhj9LM60MBffM/edit#gid=0 [docs.google.com]). The journal requested the corresponding author comment on these concerns and provide the raw data. However, the authors were not responsive to the request for comment. Since original data could not be provided, the overall validity of the results could not be confirmed. Therefore, the Editor-in-Chief decided to retract the article.