Comprehensive bioinformatics analysis of key miRNAs and signaling pathways in the body fluids of human knee osteoarthritis.

Osteoarthritis (OA) is one of the principal causes of chronic joint disease with a series of pathological features. The present study aimed to identify key microRNAs (miRNAs) and signaling pathways in OA biological fluids to explain the potential mechanisms underlying the disease and introduce OA biomarkers using computational analysis. Differentially expressed microRNAs (DEmiRNAs) in the serum, plasma, and synovial fluids of OA patients were identified using the GEO2R, limma, and DESeq2 packages in the R software based on the dataset from GSE151341, GSE105027, and GSE126677. The gene ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG), and network construction analyses were performed for overlapping DEmiRNAs. Forty DEmiRNAs overlapped in the plasma, serum, and synovial fluids of OA patients. The expression patterns of the DEmiRNAs in the serum and plasma were almost the same, while they were reversed in the synovial fluid. Differentially expressed hsa-miR-146a-5p and hsa-miR-335-5p miRNAs showed downregulation in all 3 OA sample types. According to enrichment analysis regarding OA pathogenesis, the signaling pathways of TGF-ß, Hippo, FoxO, PI3K-Akt, and mTOR were significant, with hsa-miR-146a-5p and hsa-miR-335-5p involved in their regulation. The present informatics study for the first time provides insights into the potential diagnostic targets of OA by analyzing overlapping miRNAs and their relevant signaling pathways in human knee fluids (serum, plasma, and synovial fluids).

LINC01116 affects patient survival differently and is dissimilarly expressed in ER+ and ER- breast cancer samples.

BACKGROUND: Breast cancer is the most commonly detected cancer and one of the leading causes of cancer mortality. Emerging evidence supports that aberrant expression of lncRNAs is correlated with tumor progression and various aspects of tumor development. AIM: This study aimed to evaluate the expression pattern of LINC01116 in breast cancer tissues and investigate the impact of LINC01116 on patients' survival. METHODS AND RESULTS: Microarray and qRT-PCR data analysis were performed, and the KM-plotter database was used in this study. In addition, the gain of function approach was performed to examine the effect of LINC01116 on breast cancer cells in-vitro. The results exhibited that LINC01116 is meaningfully upregulated in the ER+ tumor specimens compared to the ER- ones. Also, relative to normal tissues, the expression of LINC01116 in ER+ and ER- tumor tissues significantly increased and decreased, respectively. ROC curve analysis revealed the power of LINC01116 in distinguishing ER+ from ER- samples. Additionally, the Kaplan-Meier survival analysis showed that the LINC01116 expression positively correlates with survival probability in all as well as ER+ patients. However, this correlation was negative in ER- patients. Furthermore, our results showed that the overexpression of LINC01116 induces TGF-ß signaling in ER- cells (MDA-MB-231), and microarray data analysis revealed that LINC01116 is significantly upregulated in 17ß-Estradiol treated MCF7 cells. CONCLUSION: In conclusion, our results suggest that LINC01116 can be a potential biomarker in distinguishing ER+ and ER- tissues and has different effects on patients' survival based on ER status by affecting TGF-ß and ER signaling.

Significance of microRNA-targeted ErbB signaling pathway genes in cardiomyocyte differentiation.

OBJECTIVE(S): Cardiomyocyte differentiation is a complex process that follows the progression of gene expression alterations. The ErbB signaling pathway is necessary for various stages of cardiac development. We aimed to identify potential microRNAs targeting the ErbB signaling pathway genes by in silico approaches. METHODS: Small RNA-sequencing data were obtained from GSE108021 for cardiomyocyte differentiation. Differentially expressed miRNAs were acquired via the DESeq2 package. Signaling pathways and gene ontology processes for the identified miRNAs were determined and the targeted genes of those miRNAs affecting the ErbB signaling pathway were determined. RESULTS: Results revealed highly differentially expressed miRNAs were common between the differentiation stages and they targeted the genes involved in the ErbB signaling pathway as follows: let-7g-5p targets both CDKN1A and NRAS, while let-7c-5p and let-7d-5p hit CDKN1A and NRAS exclusively. let-7 family members targeted MAPK8 and ABL2. GSK3B was targeted by miR-199a-5p and miR-214-3p, and ERBB4 was targeted by miR-199b-3p and miR-653-5p. miR-214-3p, miR-199b-3p, miR-1277-5p, miR-21-5p, and miR-21-3p targeted CBL, mTOR, Jun, JNKK, and GRB1, respectively. MAPK8 was targeted by miR-214-3p, and ABL2 was targeted by miR-125b-5p and miR-1277-5p, too. CONCLUSION: We determined miRNAs and their target genes in the ErbB signaling pathway in cardiomyocyte development and consequently heart pathophysiology progression.

Differential Expression of lincRNA-ROR Spliced Transcript Variants in Breast Cancer.

Background: We investigated the expression pattern of a human stem cell-specific, large intergenic noncoding RNA (lincRNA) regulator of reprogramming (lincRNA-ROR) and its spliced transcript variants in breast tumors. Breast cancer is the leading cause of cancer mortality in women; therefore, finding a reliable diagnostic tumor marker, based on the molecular profile of tumor cells, is warranted. Methods: qRT-PCR was used to investigate the expression alteration of a specific stem cell-related lincRNA and its spliced transcript variants in breast tumors which provided by the Iran National Tumor Bank (2014-2016). Suitability of lincRNA-ROR and expression alterations of its spliced transcript variants as breast tumor biomarkers were examined by ROC curve analysis. Results: Expression was significantly upregulated in lincRNA-ROR variants 1 (NR-048536) and 4 (AB844432) and downregulated in variant 3 (AB844431), with expression levels failing to distinguish between breast tumor types, grades, and malignancy stages. Whereas ROC curve analysis gave good scores to the expressions of variants 1 (AUC=0.7675, P=0.003) and 3 (AUC=0.9383, P=0.00173), suggesting their suitability as potential breast tumor biomarkers, it gave an AUC score of 0.6033 for lincRNA-ROR spliced variant 4 (P=0.4118), denoting its unsuitability as a breast cancer biomarker. Conclusion: Aberrant expressions of lincRNA-ROR spliced transcript variants could serve as reliable biomarkers with potential usefulness in breast cancer diagnosis. However, further research should elucidate the role and tissue expression of lincRNA-ROR spliced transcript variants in various cancers.

Distinct gene expression patterns of SOX2 and SOX2OT variants in different types of brain tumours.

Numerous investigations have been recently published on the dysregulated expression of long-noncoding RNAs (lncRNAs) in various cancer types, emphasizing that abnormal lncRNA expression is a major contributor to tumourigenesis. A broad spectrum of lncRNAs is expressed in the central nervous system, where these RNAs seem to play key roles in brain development and function. In addition to expressing SOX2, a master regulator of pluripotency that lies within its third intron, lncRNA SOX2OT has a proposed role in regulating neural development. Based on our previous studies, alternative splicing of SOX2OT generates two alternatively spliced variants (SOX2OT-S1 and SOX2OT-S2). The present study investigated the expression patterns of SOX2OT variants and SOX2 in three principal types of brain tumours (gliomas, meningiomas and pituitary adenomas) and in four brain tumour cell lines (U87-MG, 1321N1, A172 and DAOY). Total RNAwas extracted from 34 human brain tumour specimens, and the expression profile of target genes was measured using a real-time reverse transcription PCR approach. Our data revealed distinct expression patterns for SOX2OT variants and SOX2 in the brain tumour samples, indicating their potential involvement in brain tumourigenesis. Moreover, our results highlighted the potential usefulness of SOX2OT-S1, SOX2OT-S2, and SOX2 in molecular diagnosis and brain tumour classification.

Pathophysiology, Diagnosis, Treatment, and Genetics of Carpal Tunnel Syndrome: A Review.

Carpal tunnel syndrome (CTS) is a common peripheral canalicular nerve entrapment syndrome in the upper extremities. The compression of or injury to the median nerve at the wrist as it passes through a space-limited osteofibrous carpal canal can cause CTS, resulting in hand pain and impaired function. The present paper reviews the literature on the prevalence, pathology, diagnosis, treatment, and risk factors of CTS in conjunction with the role of genetic factors in CTS etiology. CTS diagnosis is primarily linked with clinical symptoms; still, it is simplified by sophisticated approaches such as magnetic resonance imaging and ultrasonography. CTS symptoms can be ameliorated through conservative and surgical strategies. The exact CTS pathophysiology needs clarification. Genetic predispositions to CTS are augmented by various variants within genes; however, CTS etiology could include risk factors such as wrist movements, injury, and specific conditions (e.g., age, body mass index, sex, and cardiovascular conditions). The high prevalence of CTS diminishes the quality of life of its sufferers and imposes costs on health systems, hence the significance of research and clinical trials to elucidate CTS pathogenesis and develop novel therapeutic targets.

CD19, ALDH18A1, and CACNA1G as Significant Hub Genes in End-Stage Osteoarthritis.

Background: Osteoarthritis is one of the principal causes of chronic joint disease and may progressively engender disability in elderly individuals. The present study aimed to identify differentially expressed genes and associated signaling pathways in end-stage osteoarthritis. Methods: Differentially expressed messenger RNAs in the early and end stages of osteoarthritis were examined through gene expression omnibus 2R (GEO2R) in the GSE32317 dataset. Subsequently, gene ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) analyses were conducted. Furthermore, microRNAs targeting hub genes were investigated using the miRcode database. This study was conducted jointly at Bam University of Medical Sciences and Rajaie Cardiovascular, Medical and Research Center on October 2022. Results: Differentially expressed data demonstrated downregulation in 134 genes and upregulation in 189 genes in end-stage knee osteoarthritis. The results of the enrichment and PPI analyses determined 4 end-stage knee osteoarthritis-related hub genes: IL-1B, CD19, CACNA1G, and ALDH18A1. The knee osteoarthritis-related key genes were involved in the Wnt signaling, B cell receptor signaling, calcium signaling, circadian entrainment, arginine and proline metabolism, axon guidance, and cytokine-cytokine receptor pathways. Additionally, the microRNAs targeting the 4 aforementioned genes were predicted. Conclusion: The present study is the first to provide fresh insights into the potential therapeutic targets of key genes, namely CD19, CACNA1G, and ALDH18A1, differentially expressed in end-stage osteoarthritis and their relevant signaling pathways and interactive microRNAs.

Bioinformatics Analysis to Find Novel Biomarkers for Coronary Heart Disease.

Background: Coronary heart disease (CHD), a major cause of death worldwide, is defined as a narrowing or blockage of the coronary arteries that supply oxygen and blood to the heart. We aimed to find potential biomarkers for coronary artery disease, by comparing the expression profile of blood exosomes of both normal and CHD samples. Methods: Datasets of 6 CHD and 6 normal samples of blood exosomes were downloaded, and differentially expressed RNAs, with adjusted P<0.01 and log2FoldChange≥1 were achieved. Moreover, gene ontology (GO) and pathway analysis were accomplished by PANTHER database for datasets. Results: Our data analysis found 119 differentially expressed genes between two datasets. By comparing transcriptome profiles, we candidate the highest downregulated gene, ACSBG1, and the highest upregulated one, DEFA4, as specific biomarkers for CHD. Furthermore, GO and pathway analysis depicted that aforementioned differentially expressed genes are mostly involved in different molecular metabolic process, inflammation, immune system process and response to stimulus pathways which all cause cardiovascular diseases. Conclusion: We have provided new potential biomarkers for CHD, though experimental validation is still needed to confirm the suitability of the candidate genes for early detection of CHD.

Differential Expression Pattern of linc-ROR Spliced Variants in Pluripotent and Non-Pluripotent Cell Lines.

OBJECTIVE: The human large intergenic non-coding RNA-regulator of reprogramming program (linc-ROR) is known as a stem cell specific linc-RNA. linc-ROR counteracts differentiation via sequestering microRNA-145 (miR-145) that targets OCT4 transcript. Despite the research on the expression and function, the exact structure of linc-ROR transcripts is not clear. Considering the contribution of alternative splicing in transcripts structures and function, identifying different spliced variants of linc-ROR is necessary for further functional analyses. We aimed to find the alternatively spliced transcripts of linc-ROR and investigate their expression pattern in stem and cancer cell lines and during neural differentiation of NT2 cells as a model for understanding linc-ROR role in stem cell and differentiation. MATERIALS AND METHODS: In this experimental study, linc-ROR locus was scanned for identifying novel exons. Different primer sets were used to detect new spliced variants by reverse transcription polymerase chain reaction (RT-PCR) and direct sequencing. Quantitative PCR (qPCR) and RT-PCR were employed to profile expression of linc-ROR transcripts in different cell lines and during neural differentiation of stem cells. RESULTS: We could discover 13 novel spliced variants of linc-ROR harboring unique array of exons. Our work uncovered six novel exons, some of which were the product of exonized transposable elements. Monitoring expression profile of the linc-ROR spliced variants in a panel of pluripotent and non-pluripotent cells exhibited that all transcripts were primarily expressed in pluripotent cells. Moreover, the examined linc-ROR spliced variants showed a similar downregulation during neural differentiation of NT2 cells. CONCLUSION: Altogether, our data showed despite the difference in the structure and composition of exons, various spliced variants of linc-ROR showed similar expression pattern in stem cells and through differentiation.

Tenascin-C as a noninvasive biomarker of coronary artery disease.

BACKGROUND: Coronary artery disease (CAD), is the leading cause of mortality and morbidity worldwide. Tenascin-C (TNC) with high expression levels in inflammatory and cardiovascular diseases, leads to the rupture of atherosclerotic plaques. The origin of plaque destabilization can be associated to endothelial dysfunction. Given the high prevalence of CAD, finding valuable biomarkers for its early detection is of great interest. Using serum samples from patients with CAD and individuals without CAD, we assessed the efficacy of TNC expression levels in serum exosomes and during endothelial cell differentiation as a noninvasive biomarker of CAD. METHODS: TNC expression was analyzed using the RNA-sequencing data sets of 6 CAD and 6 normal samples of blood exosomes and endothelial differentiation transitions. Additionally, TNC expression was investigated in the serum samples of patients with CAD and individuals without CAD via qRT-PCR. ROC curve analysis was employed to test the suitability of TNC expression alterations as a CAD biomarker. RESULTS: TNC exhibited higher expression in the exosomes of the CAD samples than in those of the non-CAD samples. During endothelial differentiation, TNC expression was upregulated and then consistently downregulated in mature endothelial cells. Moreover, TNC was significantly upregulated in the serum of the CAD group (P = 0.02), with an AUC of 0.744 for the expression level (95% confidence interval, 0.582 to 0.907; P = 0.011). Hence its expression level can be discriminated CAD from non-CAD samples. DISCUSSION: Our study is the first to confirm that altered TNC expression is associated with pathological CAD conditions in Iranian patients. The expression of TNC is involved in endothelial differentiation and CAD development. Accordingly, TNC can serve as a valuable noninvasive biomarker with potential application in CAD diagnosis.

Downregulation of Talin-1 is associated with the increased expression of miR-182-5p and miR-9-5p in coronary artery disease.

BACKGROUND: Evidence indicates that the dysregulation of extracellular matrix (ECM) components can lead to cardiovascular diseases. The Talin-1 (TLN1) gene is a major component of the ECM, and it mediates integrin adhesion to the ECM. In this study, we aimed to determine microRNAs (miRs) that regulate the expression of TLN1 and determine expression alterations in TLN1 and its targeting miRs in coronary artery disease (CAD). METHODS: Data sets of CAD and normal samples of blood exosomes were downloaded, and TLN1 was chosen as one of the genes with differential expressions in an in silico analysis. Next, miR-182-5p and miR-9-5p, which have a binding site on 3´-UTR of TLN1, were selected using bioinformatics tools. Then, the miR target site was cloned in the psiCHECK-2 vector, and direct interaction between the miR target site and the TLN1 3'-UTR putative target site was investigated by luciferase assay. The expression of miR-182-5p, miR-9-5p, and TLN1 in the serum samples of CAD and non-CAD individuals was assessed via a real-time quantitative polymerase chain reaction. RESULTS: Our data revealed that miR-182-5p directly regulated the expression of TLN1. Moreover, miR-182-5p and miR-9-5p were significantly upregulated in the CAD group. Hence, both bioinformatics and experimental analyses determined the downregulated expression of TLN1 in the CAD samples. CONCLUSIONS: Our findings demonstrated that miR-182-5p and miR-9-5p could play significant roles in TLN1 regulation and participate in CAD development by targeting TLN1. These findings introduce novel biomarkers with a potential role in CAD pathogenesis.

hsa-miR-508-5p as a New Potential Player in Intervertebral Disc Degeneration.

Intervertebral disc degeneration (IDD) is widely known as the principal cause of low back pain, diminishing patients' quality of life and imposing a huge economic burden on healthcare systems worldwide. However, the underlying mechanisms of IDD remain to be determined. This study aimed to scrutinize data sets via bioinformatics to identify microRNAs (miRNAs)/genes and pathways associated with IDD. The array profiling of patients with IDD and individuals without IDD was acquired from the Gene Expression Omnibus (GEO) database (viz., GSE19943, GSE63492, and GSE34095). The expression profiles of miRNAs and genes with differential patterns were analyzed using GEO2R. The target genes of the chosen miRNA were then examined, and in silico functional analyses were performed on the signaling pathways and biological processes of the differentially expressed genes. Three human miRNAs were up and downregulated in IDD patients in the examined data sets. Among them, hsa-miR-508-5p had a significant differential expression in the IDD group, and SEC11A, IPO5, FN1, and MRPS10, as the targets of hsa-miR-508-5p, were upregulated in the IDD group. Furthermore, extracellular matrix-receptor interactions, focal adhesion, and actin cytoskeleton regulation were important pathways involved in IDD. Our analysis identified hsa-miR-508-5p as a novel miRNA involved in IDD pathogenies. Our findings not only further confirmed the significant role of miRNAs in IDD pathogenesis but also extended the spectrum of the miRNAs and genes involved in IDD. Though, still, further experimental investigations are needed to confirm our findings.

Linc-ROR has a Potential ceRNA Activity for OCT4A by Sequestering miR-335-5p in the HEK293T Cell Line.

Linc-ROR has a regulatory role in reprogramming, and the core stem cell transcription factors, OCT4, SOX2, and NANOG, regulate its expression. MicroRNAs (miRNAs) are also a critical constituent of pivotal posttranscriptional regulatory pathways. One of such interactions is a competing endogenous RNA interaction that connects small and long non-coding RNAs with coding transcripts. Here, we aimed to investigate the existence of such associations between OCT4A, Linc-ROR, hsa-miR-335-5p, and hsa-miR-544. Bioinformatic analysis was performed to evaluate the expression status of OCT4A, Linc-ROR, miR-335, and miR-544 throughout differentiation as well as in various differentiated cells. The complete lengths of OCT4A and Linc-ROR, and OCT4A 3'-UTR were cloned in the luciferase reporter vector, and the precursors of miR-335 and miR-544 were cloned in expression vectors. Following the overexpression of miR-335 and miR-544 in the 5637 cell line, the endogenous expression of OCT4A and Linc-ROR was evaluated. Afterward, the expression vectors of miRNAs and the reporter vectors of OCT4A/Linc-ROR were co-transfected in the HEK293T cell line. Via the Dual-Luciferase assay, the effect of the overexpression of miRNAs on their two possible targets (Linc-ROR and OCT4A) was investigated. The bioinformatic analysis demonstrated a relatively similar expression pattern for OCT4A and Linc-ROR, while miR-335 showed a different expression status. Both miR-335 and miR-544 inhibited the endogenous expression of OCT4A. The Dual-Luciferase assay likewise confirmed the inhibitory effect of miR-335 and miR-544 on OCT4A expression. In contrast, the miR-335 inhibitory effect was reversed in the presence of Linc-ROR, resulting in the upregulation of OCT4A. Such evidence suggests that Linc-ROR may compete with OCT4A to interact with miR-335.