MicroRNAs in Axial Spondylarthritis: an Overview of the Recent Progresses in the Field with a Focus on Ankylosing Spondylitis and Psoriatic Arthritis

Motta, Francesca; Pederzani, Andrea; Carena, Maria Cristina; Ceribelli, Angela; Wordsworth, P; Santis, Maria De; Selmi, Carlo; Vecellio, Matteo

doi:10.1007/s11926-021-01027-5

Cited by 11 publications

(3 citation statements)

References 73 publications

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“…HLA-B27 alone accounts for 20% of AS genetics because it is found in more than 80% of individuals who suffer from it [ 6 ]. The genetic test for HLA-B27 and non-specific acute phase reactants such as C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) are the biomarkers currently utilized in daily clinical practice for AS [ 7 ]. HLA-B27 was revealed to offer predictive data on phenotype and radiographic damage [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Circulating lncRNA H19 in Ankylosing Spondylitis Patients and Its Correlation with Disease Activity

Esawy

Ebaid

Abd-elhameed

et al. 2023

JPM

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Ankylosing spondylitis (AS) is a chronic inflammatory disease that results in severe pain and stiffness in the joints. The causes and pathophysiology of AS are still largely unknown. The lncRNA H19 plays key roles in the pathogenesis of AS by mediating inflammatory progression by acting in the axis of IL-17A/IL-23. The aims of this study were determining the role of lncRNA H19 in AS and assessing its clinical correlation. A case–control study was conducted and qRT-PCR was utilized to measure H19 expression. Comparing AS cases to healthy controls, it was found that H19 expression was significantly upregulated. For AS prediction, H19 demonstrated a 81.1% sensitivity, 100% specificity, and 90.6% diagnostic accuracy at a lncRNA H19 expression value of 1.41. lncRNA H19 had a significantly positive correlation with AS activity, MRI results, and inflammatory markers. lncRNA H19 seemed to be an independent predictor of AS (adjusted OR of 211 (95% CI: 4.7–939; p = 0.025)). After 3 months of clinical follow-up, seventeen patients (32.1%) showed minimal clinical improvement and fifteen patients (28.3%) showed major improvement. AS activity scores were significantly decreased in patients with high H19 expression. A significantly elevated lncRNA H19 expression was observed in AS cases compared with that in healthy controls. These results suggest that upregulation of lncRNA H19 expression may be involved in the pathogenesis of AS. The expression of the lncRNA H19 is related to the duration and activity of the disease. LncRNA H19 expression seems to be an independent predictor of AS.

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Section: Introductionmentioning

confidence: 99%

Assessment of Circulating lncRNA H19 in Ankylosing Spondylitis Patients and Its Correlation with Disease Activity

Esawy

Ebaid

Abd-elhameed

et al. 2023

JPM

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“…[ 209 ] For instance, Remlarsen was found promising results for the treatment of fibrotic disorders and osteoarthritis via miR‐29 mimicking. [ 210,211 ] While, MRX34, a liposomal miR‐34a mimic, is currently being developed for the treatment of liver diseases. [ 212 ] On the other hand, miR‐33 antagonists are under investigation for the treatment of lipid disorders, including hyperlipidemia and atherosclerosis.…”

Section: The Interplay Between Epigenetics and Immunometabolic Disordersmentioning

confidence: 99%

Epigenetic Network in Immunometabolic Disease

Geiger,

Gorica,

Mohammed

et al. 2023

Advanced Biology

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Although a large amount of data consistently shows that genes affect immunometabolic characteristics and outcomes, epigenetic mechanisms are also heavily implicated. Epigenetic changes, including DNA methylation, histone modification, and noncoding RNA, determine gene activity by altering the accessibility of chromatin to transcription factors. Various factors influence these alterations, including genetics, lifestyle, and environmental cues. Moreover, acquired epigenetic signals can be transmitted across generations, thus contributing to early disease traits in the offspring. A closer investigation is critical in this aspect as it can help to understand the underlying molecular mechanisms further and gain insights into potential therapeutic targets for preventing and treating diseases arising from immuno‐metabolic dysregulation. In this review, the role of chromatin alterations in the transcriptional modulation of genes involved in insulin resistance, systemic inflammation, macrophage polarization, endothelial dysfunction, metabolic cardiomyopathy, and nonalcoholic fatty liver disease (NAFLD), is discussed. An overview of emerging chromatin‐modifying drugs and the importance of the individual epigenetic profile for personalized therapeutic approaches in patients with immuno‐metabolic disorders is also presented.

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“…Although some progress has been made over the decades in managing and treating AS and IBD, the comorbidity pathogenesis is still unclear. The underlying mechanism of AS and IBD is complex and is caused by the interaction of genetic, environmental, and immune factors [ 16 ], in which immune factors play an essential role in the entire process. So, finding out how the immune system works is important for early prevention and treatment of AS and IBD, and that is what current research is all about.…”

Section: Introductionmentioning

confidence: 99%

Bioinformatics Analysis of Immune Cell Infiltration and Diagnostic Biomarkers between Ankylosing Spondylitis and Inflammatory Bowel Disease

Zhang

Chen

Qian

et al. 2023

Computational and Mathematical Methods in Medicine

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Background. Ankylosing spondylitis (AS) and inflammatory bowel disease (IBD) are both autoimmune diseases, and they often occur together in clinical practice, but the pathogenesis is unclear. This study is aimed at identifying the hub genes and explore the related immune molecular mechanisms between AS and IBD by bioinformatics analysis. Methods. From the public Gene Expression Omnibus (GEO) database, the AS and IBD datasets (GSE73754, GSE59071, GSE25101, and GSE36807) were obtained. The immune cell infiltration in the peripheral blood tissues of GSE73754 and GSE59071 was assessed using the CIBERSORT algorithm. Then, we used the Weighted Gene Coexpression Network Analysis (WGCNA) to identify the Differentially Expressed Genes (DEGs) related to AS and IBD. Then, the immune genes from the ImmPort database intersected with the DEGs to obtain hub genes. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyzed the functional correlation of hub genes. Then, hub genes were verified in GSE25101 and GSE36807. The clusterProfiler software and Gene Set Enrichment Analysis (GSEA) were used to conduct functional enrichment and pathway enrichment studies. Finally, the diagnostic efficacy was assessed using Receiver Operating Characteristic (ROC) curve analysis. Results. The analysis of immune characteristics showed that both AS and IBD were related to immunity, and neutrophils were positively correlated in both diseases. Nine coexpressed genes, including FCGRT, S100A11, IFNGR1, NFKBIZ, JAK2, LYN, PLAUR, ADM, and IL1RN, were linked to immune cells. The GO and KEGG analyses results showed that enrichment analysis was mainly related to cell transport and migration. Finally, the ROC curve was verified with the validation set, and it was found that PLAUR has clinical diagnostic significance and the most excellent specificity and sensitivity, respectively. Conclusions. PLAUR (uPAR) is a promising biomarker and will be an underlying genetic biomarker for diagnosing AS comorbid IBD. Inflammation and immunological modulation mediated by neutrophil infiltration were important in the development of AS and IBD and may be diagnostic and therapeutic targets.

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MicroRNAs in Axial Spondylarthritis: an Overview of the Recent Progresses in the Field with a Focus on Ankylosing Spondylitis and Psoriatic Arthritis

Cited by 11 publications

References 73 publications

Assessment of Circulating lncRNA H19 in Ankylosing Spondylitis Patients and Its Correlation with Disease Activity

Assessment of Circulating lncRNA H19 in Ankylosing Spondylitis Patients and Its Correlation with Disease Activity

Epigenetic Network in Immunometabolic Disease

Bioinformatics Analysis of Immune Cell Infiltration and Diagnostic Biomarkers between Ankylosing Spondylitis and Inflammatory Bowel Disease

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