Non-coding RNA Expression Profiles Research Articles

Non-coding RNA alterations in occlusal disharmony-induced anxiety-like behaviour.

Occlusal disharmony (OD) may induce anxiety-like behaviours; however, the underlying mechanism remains unclear. Herein, we explored the expression profiles of non-coding RNAs (ncRNAs), along with their biological function and regulatory network, in anxiety-like behaviour induced by OD. Occlusal disharmony was produced by anterior crossbite of C57BL/6 mice. Behavioural tests, corticosterone (CORT) and serotonin (5-HT) levels were used to measure anxiety. In addition, RNA sequencing was used to screen all differentially expressed (DE) ncRNAs. Moreover, the RNA-binding proteins interacting with ncRNAs were predicted by the ENCORI database and confirmed using western blots. The significant differences in behavioural tests and CORT suggested the successful induction of anxiety-like behaviour by OD. In OD mice, ncRNAs were significantly dysregulated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses suggested that the DE ncRNAs were enriched in anxiety-related pathways. CircRNA10039 was upregulated, and PTBP1 was predicted to interact with circRNA10039. In addition, KEGG pathway analysis showed that PTBP1 may be associated with messenger RNA biogenesis and spliceosomes. OD induced by anterior crossbite can lead to the anxiety-like behaviours. During this process, ncRNA also changes. CircRNA10039 and PTBP1 may play a role in OD-induced anxiety-like behaviours.

Differentiation of long Non-Coding RNA expression profiles in three Fruiting stages of grape

Grapes are considered a crucial fruit crop with extensive uses globally. Cluster compactness is an undesirable trait for the productivity of Yaghooti grape, and it reduces its desirability among consumers. The RNA-Seq data were analyzed in three stages of cluster development using the FEELnc software, leading to the identification of 849 lncRNAs. 183 lncRNAs were differentially expressed during cluster development stages. The GO and KEGG enrichment analyses of these lncRNAs revealed that they target 1,814 genes, including CKX, PG, PME, NPC2, and UGT. The analysis demonstrated a relationship between these lncRNAs and key processes such as grape growth and development, secondary metabolite synthesis, and resistance to both biotic and abiotic stresses. These findings, combined with molecular experiments on lncRNA interactions with other regulatory factors, could enhance Yaghooti grape quality and decrease cluster compactness.

Circulating exosomal PCAT1 as a complement of carcinoembryonic antigen for early colorectal cancer diagnosis

BackgroundsGiven the global prevalence of colorectal cancer (CRC), advancements in prompt and accurate diagnosis are crucial. Long non-coding RNAs (lncRNAs) in serum exosomes are emerging as potential diagnostic biomarkers. This study evaluated the feasibility of using serum exosomal lncRNAs for early-stage CRC diagnosis in clinical practice. MethodsCandidate serum exosomal lncRNAs were identified through an integrated analysis of two GEO datasets (GSE100206 and GSE100063) containing non-coding RNA expression profiles in serum exosomes. Exosomes isolated from participants' serum were validated using transmission electron microscopy (TEM) and immunoblotting. The expression levels of serum exosomal PCAT1 were measured by quantitative real-time polymerase chain reaction (qRT-PCR). Diagnostic accuracy was assessed using receiver operating characteristic (ROC) analysis. ResultsSerum exosomal PCAT1 levels were evaluated in 150 CRC patients, 66 patients with benign colorectal lesions, and 128 healthy controls. ROC analysis demonstrated high diagnostic efficacy of serum exosomal PCAT1 for CRC. Notably, the predictive performance was sufficient to distinguish early-stage CRC patients. Additionally, the diagnostic value was significant for CRC patients with low serum carcinoembryonic antigen (CEA) levels. Measuring serum exosomal PCAT1 could complement CEA assessment, enhancing CRC diagnostic accuracy. ConclusionsSerum exosomal PCAT1 can complement CEA assessment, aiding in early CRC diagnosis and helping to differentiate the disease, especially in patients with low CEA levels.

Expression Profiling of Coding and Noncoding RNAs in the Endometrium of Patients with Endometriosis.

The aim of this study was to identify differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) in the endometrium of individuals with and without endometriosis (EMS) during the proliferative (P) and secretory (S) phases of the menstrual cycle. Tissues were obtained from 18 control (CT; P-phase [pCT], n = 8; S-phase [sCT], n = 13) and 23 EMS patients (P-phase [pEMS], n = 13; S-phase [sEMS], n = 12). DElncRNAs and DEmRNAs were analyzed using total RNA-sequencing. In P-phase, expression of NONHSAG019742.2 and NONHSAT120701.2 was significantly higher in EMS than control patients, that of while NONHSAG048398.2 and NONHSAG016560.2 was lower in EMS patients. In S-phase, expression of NONHSAT000959.2, NONHSAT203423.1, and NONHSAG053769.2 was significantly increased in EMS patients, while that of NONHSAG012105.2 and NONHSAG020839.2 was lower. In addition, the expression of HSD11B2, THBS1, GPX3, and SHISA6 was similar to that of neighboring lncRNAs in both P- and S-phases. In contrast, ELP3 and NR4A1, respectively, were up- or downregulated in pEMS tissues. In sEMS, expression of LAMB3 and HIF1A was increased, while expression of PAM was reduced. Our findings on lncRNAs and mRNAs encourage not only exploration of the potential clinical applications of lncRNAs and mRNAs as prognostic or diagnostic biomarkers for EMS but also to gain valuable insights into its pathogenesis.

Analysis of the Long Non-Coding and Messenger RNA Expression Profiles in the Skin Tissue of Super Merino and Small-Tailed Han Sheep.

Wool quality and yield are two important economic livestock traits. However, there are relatively few molecular studies on lncRNA for improving sheep wool, so these require further exploration. In this study, we examined skin tissue from the upper scapula of Super Merino (SM) and Small-Tailed Han (STH) sheep during the growing period. The apparent difference was verified via histological examination. High-throughput RNA sequencing identified differentially expressed (DE) long non-coding (lncRNAs) and messenger RNAs (mRNAs). The target gene of DE lncRNA and DE genes were enrichment analyzed using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). A Reverse Transcription quantitative Polymerase Chain Reaction (RT-qPCR) was used to verify randomly selected DE lncRNAs and mRNAs. Finally, the DE, RAC2, WNT11, and FZD2 genes, which were enriched in the Wnt signaling pathway, were detected via immunohistochemistry. The results showed that a total of 20,888 lncRNAs and 31,579 mRNAs were identified in the skin tissues of the two sheep species. Among these, 56 lncRNAs and 616 mRNAs were differentially expressed. Through qRT-PCR, the trends in the randomly selected DE genes' expression were confirmed to be aligned with the RNA-seq results. GO and KEGG enrichment analysis showed that DE lncRNA target genes were enriched in GO terms as represented by epidermal and skin development and keratin filature and in KEGG terms as represented by PI3K-Akt, Ras, MAPK, and Wnt signaling pathways, which were related to hair follicle growth and development. Finally, immunohistochemistry staining results indicated that RAC2, WNT11, and FZD2 were expressed in dermal papilla (DP). The lncRNAs MSTRG.9225.1 and MSTRG.98769.1 may indirectly participate in the regulation of hair follicle growth, development, and fiber traits by regulating their respective target genes, LOC114113396(KRTAP15-1), FGF1, and IGF1. In addition, MSTRG.84658.1 may regulate the Wnt signaling pathway involved in the development of sheep hair follicles by targeting RAC2. This study provides a theoretical reference for improving sheep breeding in the future and lays a foundation for further research on the effects of MSTRG.84658.1 and the target gene RAC2 on dermal papilla cells (DPC).

Core competing endogenous RNA network based on mRNA and non-coding RNA expression profiles in chicken fatty liver.

Fatty liver disease is a common metabolic disease in chickens. This disease can lead to a decrease in egg production and increase the risk of death in chickens. Long non-coding RNAs (lncRNAs) are involved in fatty liver formation by directly targeting genes or regulating gene expression by competitively binding microRNAs. However, a large proportion of competing endogenous RNA (ceRNA) networks in fatty liver diseases are still unclear. The total of 300 Jingxing-Huang chickens were used for fatty liver model construction. Then, differentially expressed (DE) genes (DEGs) identified through whole-transcriptome sequencing from four chickens with fatty liver and four chickens without fatty liver were chosen from the F1 generation. A total of 953 DEGs were identified between the fatty liver group and the control group, including 26 DE micro (mi)RNAs and 56 DE lncRNAs. Differential expression heatmaps and volcano plots were obtained after clustering expression analysis. Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that these DEGs were involved in many biological processes and signaling pathways related to fatty acid metabolism and lipid synthesis. Furthermore, cytoscape was used to construct a ceRNA network of the DE miRNAs, DE mRNAs, and DE lncRNAs. Eleven DE lncRNAs, seven DE miRNAs, and 13 DE mRNAs were found to be associated with the pathogenesis of fatty liver disease. An lncRNA-miRNA-mRNA ceRNA network was constructed to elucidate the mechanisms of fatty liver diseases, and the ENSGALT00000079786-miR-140/miR-143/miR-1a/miR-22/miR-375 network was identified. These results provide a valuable resource for further elucidating the posttranscriptional regulatory mechanisms of chicken liver and adipose fat development or deposition.

Prognostic risk model under the immune-associated long chain non-coding ribonucleic acid and its application in survival prognosis assessment of patients with breast cancer

This study aimed to develop a prognostic risk model based on immune-related long non-coding RNAs (lncRNAs). By analyzing the expression profiles of specific long non-coding RNAs, the objective was to construct a predictive model to accurately assess the survival prognosis of breast cancer (BC) patients. This effort seeks to provide personalized treatment strategies for patients and improve clinical outcomes. Based on the median risk value, 300 samples of triple-negative BC (TNBC) patients were rolled into a high-risk group (HR group, n = 140) and a low-risk group (LR group, n = 160). Multivariate Cox (MVC) analysis was performed by combining the patient risk score and clinical information to evaluate the prognostic value of the prognostic risk (PR) model. A total of 371 immune-related lncRNAs associated with the prognosis of TNBC were obtained from 300 TNBC samples. Nine associated with prognosis were obtained by univariate Cox (UVC) analysis, and 3 (AC090181.2, LINC01235, and LINC01943) were selected by MVC analysis for the construction of TNBC PR model. Survival analysis showed a great difference in TNBC patients in different groups (P < 0.001). The receiver operator characteristic (ROC) curve showed the model possessed a good area under ROC curve (AUC), which was 0.928. The patient RS jointing with clinical information as well as the MVC analysis revealed that RS was an independent risk factor (IRF) for prognosis of TNBC (P < 0.05, HR = 1.033286). Therefore, the lncRNAs associated with TNBC immunity can be screened by bioinformatics analysis, and the established PR model of TNBC could better predict the prognosis of patients with TNBC, exhibiting a high application value in clinic.

Long non-coding RNAs — regulators of rubella virus infection and antiviral response

Introduction. Rubella virus is an RNA-containing virus capable of infecting human cells and causing infectious disease. Infection of pregnant women with rubella virus can lead to abortion or congenital rubella syndrome (CRS), a set of long-term birth defects including incomplete fetal organ development and mental retardation. There is no specific treatment for rubella and CRS. The regulation of antiviral immune response and viral reproduction by long non-coding RNAs is currently under active investigation. In this study, we evaluated the changes in the expression profile of long non-coding RNAs in rubella virus-infected A549 epithelial by RNA sequencing. Materials and Methods. A549 cells were infected with a wild-type variant of laboratory strain C-77 of rubella virus with a multiplicity of infection of 1.0 infectious units per cell and incubated for 72 hours. Virus titres were determined by the CCID method in the sensitive RK-13 cell culture. 48 h after infection, the cell monolayer was lysed, RNA was isolated, and libraries were prepared for sequencing. Sequencing was performed on the NextSeq500 platform (Illumina, USA) in paired-end reading mode. Validation of the obtained RNA sequencing data was performed using quantitative real-time PCR. Results. Rubella virus replication affects the production of some long non-coding RNAs by altering their expression profile. Thus, upon infection of A549 epithelial cells with rubella virus, there was a significant increase in the expression of such long non-coding RNAs as GAS5, NEAT1, LUCAT1, MIR210HG, MEG3, EPB41L4A-AS1, ZFAS1, and SNHG 1, 7, 12, 29, 32. DANCR, IGFL2-AS1, IGFL2-AS1, MIR1915HG, and SNHG14 were most significantly decreased in expression. Gene ontology (GO)-analysis revealed that long non-coding RNAs are involved at different levels in the mechanisms of immune response, in particular, RNA processing and nucleic acid metabolism; therefore, up- and down-regulation of these molecules leads to modulation of human antiviral immune response in response to rubella virus infection. Conclusion. Thus, the regulation of long non-coding RNA production by rubella virus has been shown for the first time. Differentially expressed long non-coding RNAs can be used as prognostic and diagnostic biomarkers of viral diseases.

Expression and Function of Long Non-coding RNA in Endemic Cretinism.

Endemic cretinism (EC) is one of the most severe iodine deficiency disorders, leading to typical symptoms such as neurodevelopmental impairments or mental deficits. In addition to environmental factors, the pathogenesis of its genetic contribution remains unclear. The study revealed the differential expression profiles of long non-coding RNA(lncRNA) and messenger RNA(mRNA) based on high-throughput RNA-seq. GO and KEGG analyses were used to annotate the function and pathway of differentially expressed (DE) mRNA and co-expressed mRNA. The protein-protein interaction(PPI) network was established. The expression levels of three lncRNAs and six mRNAs were validated by quantitative real-time PCR analysis (qRT-PCR) and subjected to correlation analysis.Compared to controls, a total of 864 lncRNAs and 393 mRNAs were differentially expressed. The PPI network had 149 nodes and 238 edges, and three key protein-coding genes were observed.Levels of LINC01220 and target mRNA IDO1 were statistically elevated in EC patients.Differentially expressed lncRNA may be a new potential player in EC. LINC01220 and IDO1 might interact with each other to participate in EC. The biological process of regulation of postsynaptic membrane potential and the Rap1 signaling pathway might exert a regulating role in the pathophysiological process of EC. Our findings could provide more theoretical and experimental evidence for investigating the pathophysiological mechanisms of EC.

A dataset of hidden small non-coding RNA in the testis of heat-stressed models revealed by Pandora-seq

Infertility, a worldwide reproductive health concern, impacts approximately one in five couples. Male infertility, stemming from spermatogenic dysfunction and reduced sperm quality, stands as a primary factor contributing to infertility. Given the global decrease in male fertility linked to environmental factors like the greenhouse effect, it is crucial to develop a comprehensive understanding of how increased temperatures impact both the quantity and quality of sperm. In this study, we utilized Pandora-seq technology to detect the small non-coding RNAs (sncRNAs) expression profile in the testicular tissue of heat-stressed mice. The investigation explores the dynamic shifts in sncRNAs within the mouse testis under heat stress, including miRNAs, tsRNAs, piRNAs, rsRNAs and other sncRNAs. Furthermore, we successfully identified differentially expressed sncRNAs in testicular tissues before and after heat stress. Subsequently, we conducted functional enrichment analysis on the potential predicted target genes of differentially expressed miRNAs and tsRNAs. These datasets will constitute a valuable foundational resource for further investigations into the decline in male reproductive capacity triggered by heat stress.

LncRNA CBR3-AS1 is associated with the BCR::ABL1 kinase independent mechanism of tyrosine kinase inhibitor (TKI) resistance in chronic myeloid leukemia patients.

It is difficult for chronic myeloid leukemia (CML) patients with BCR::ABL1 independent drug resistance to achieve optimal efficacy. The aim of this study is to investigate the BCR::ABL1 kinase independent mechanism of tyrosine kinase inhibitor (TKI) resistance in CML patients to develop targeted therapeutic strategy. Herein, we analyzed the long non-coding RNA (lncRNA) and messenger RNA (mRNA) expression profiles of patients who achieved sustained deep molecular response (DMR) after TKI treatment and patients with non-DMR using RNA-seqencing. Furthermore, the differentially expressed lncRNAs and mRNAs were identified. The expression of chosen lncRNA was validated in an expanded cohort, and bioinformatics analysis was performed to analyze the function of selected mRNA. LncRNA data analysis indicated the diversity lncRNA profiles among healthy individuals, CML patients with non-DMR, and CML patients with DMR. Differential expression analysis and Veen plot of up-regulated lncRNAs in patients with non-DMR (compared with healthy individuals) and down-regulated lncRNAs in patients with DMR (compared to patients with non-DMR) revealed that lncRNA CBR3-AS1 overexpression might be related to BCR::ABL1 independent TKI resistance of CML patients. The expression of CBR3-AS1 was then verified in an expanded cohort, suggesting that, compared with control group, there was no statistical difference of CBR3-AS1 expression in DMR group, whereas, CBR3-AS1 was up-regulated in non-DMR group. Moreover, the mRNA data analysis of RNA-sequencing was performed. We considered genes that up-regulated in non-DMR group (compared with control group), down-regulated in DMR group (compared with non-DMR group), showed no statistical difference between control and DMR group as the potential genes that associated with TKI resistance of CML patients. A total of 55 corresponding mRNAs were obtained including KCNA6, a target gene of CBR3-AS1. Further bioinformatics analysis showed that the major interacted genes of KCNA6 were enriched in several resistance-associated pathways including interleukin -17 signaling pathway and cyclic adenosine monophosphate signaling pathway. In conclusion, this work indicates that CBR3-AS1 might be involved in BCR::ABL1 independent TKI resistance of CML patients through targeting KCNA6, providing a novel target for intervention treatment of CML patients with BCR::ABL1 independent TKI resistance.

Behind the Genetics: The Role of Epigenetics in Infertility-Related Testicular Dysfunction.

In recent decades, we have witnessed a progressive decline in male fertility. This is partly related to the increased prevalence of chronic diseases (e.g., obesity and diabetes mellitus) and risky lifestyle behaviors. These conditions alter male fertility through various non-genetic mechanisms. However, there is increasing evidence that they are also capable of causing sperm epigenetic alterations, which, in turn, can cause infertility. Furthermore, these modifications could be transmitted to offspring, altering their general and reproductive health. Therefore, these epigenetic modifications could represent one of the causes of the progressive decline in sperm count recorded in recent decades. This review focuses on highlighting epigenetic modifications at the sperm level induced by non-genetic causes of infertility. In detail, the effects on DNA methylation, histone modifications, and the expression profiles of non-coding RNAs are evaluated. Finally, a focus on the risk of transgenerational inheritance is presented. Our narrative review aims to demonstrate how certain conditions can alter gene expression, potentially leading to the transmission of anomalies to future generations. It emphasizes the importance of the early detection and treatment of reversible conditions (such as obesity and varicocele) and the modification of risky lifestyle behaviors. Addressing these issues is crucial for individual health, in preserving fertility, and in ensuring the well-being of future generations.

Identifying miRNA Signatures Associated with Pancreatic Islet Dysfunction in a FOXA2-Deficient iPSC Model.

The pathogenesis of diabetes involves complex changes in the expression profiles of mRNA and non-coding RNAs within pancreatic islet cells. Recent progress in induced pluripotent stem cell (iPSC) technology have allowed the modeling of diabetes-associated genes. Our recent study using FOXA2-deficient human iPSC models has highlighted an essential role for FOXA2 in the development of human pancreas. Here, we aimed to provide further insights on the role of microRNAs (miRNAs) by studying the miRNA-mRNA regulatory networks in iPSC-derived islets lacking the FOXA2 gene. Consistent with our previous findings, the absence of FOXA2 significantly downregulated the expression of islet hormones, INS, and GCG, alongside other key developmental genes in pancreatic islets. Concordantly, RNA-Seq analysis showed significant downregulation of genes related to pancreatic development and upregulation of genes associated with nervous system development and lipid metabolic pathways. Furthermore, the absence of FOXA2 in iPSC-derived pancreatic islets resulted in significant alterations in miRNA expression, with 61 miRNAs upregulated and 99 downregulated. The upregulated miRNAs targeted crucial genes involved in diabetes and pancreatic islet cell development. In contrary, the absence of FOXA2 in islets showed a network of downregulated miRNAs targeting genes related to nervous system development and lipid metabolism. These findings highlight the impact of FOXA2 absence on pancreatic islet development and suggesting intricate miRNA-mRNA regulatory networks affecting pancreatic islet cell development.

Expression profile of long noncoding RNAs and comprehensive analysis of lncRNA-cisTF-DGE regulation in condyloma acuminatum

ObjectiveTo identify differentially expressed long noncoding RNAs (lncRNAs) in condyloma acuminatum (CA) and to explore their probable regulatory mechanisms by establishing coexpression networks.MethodsHigh-throughput RNA sequencing was performed to assess genome-wide lncRNA expression in CA and paired adjacent mucosal tissue. The expression of candidate lncRNAs and their target genes in larger CA specimens was validated using real-time quantitative reverse transcriptase polymerase chain reaction (RT‒qPCR). Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used for the functional enrichment analysis of these candidate lncRNAs and differential mRNAs. The coexpressed mRNAs of the candidate lncRNAs, calculated by Pearson’s correlation coefficient, were also analysed using GO and KEGG analysis. In addition, the interactions among differentially expressed lncRNAs (DElncRNAs)-cis-regulatory transcription factors (cisTFs)-differentially expressed genes (DEGs) were analysed and their network was constructed.ResultsA total of 546 lncRNAs and 2553 mRNAs were found to be differentially expressed in CA compared to the paired control. Functional enrichment analysis revealed that the DEGs coexpressed with DElncRNAs were enriched in the terms of cell adhesion and keratinocyte differentiation, and the pathways of ECM-receptor interaction, local adhesion, PI3K/AKT and TGF-ß signaling. We further constructed the network among DElncRNAs-cisTFs-DEGs and found that these 95 DEGs were mainly enriched in GO terms of epithelial development, regulation of transcription or gene expression. Furthermore, the expression of 3 pairs of DElncRNAs and cisTFs, EVX1-AS and HOXA13, HOXA11-AS and EVX1, and DLX6-AS and DLX5, was validated with a larger number of specimens using RT‒qPCR.ConclusionCA has a specific lncRNA profile, and the differentially expressed lncRNAs play regulatory roles in mRNA expression through cis-acting TFs, which provides insight into their regulatory networks. It will be useful to understand the pathogenesis of CA to provide new directions for the prevention, clinical treatment and efficacy evaluation of CA.

Comparison of the classifiers based on mRNA, microRNA and lncRNA expression and DNA methylation profiles for the tumor origin detection.

Tumor tissue origin detection is of great importance in determining the appropriate course of treatment for cancer patients. Classifiers based on gene expression and DNA methylation profiles have been confirmed to be feasible and reliable to predict the tumor primary. However, few works have been performed to compare the performance of these classifiers based on different profiles. Using gene expression and DNA methylation profiles from The Cancer Genome Atlas (TCGA) project, eight machine learning methods were employed for the tumor tissue origin detection. We then evaluated the predictive performance using DNA methylation, mRNA, microRNA (miRNA) and long non-coding RNA (lncRNA) expression profiles in a comparative manner. A statistical method was introduced to select the most informative CpG sites. We found that LASSO is the most predictive models based on various profiles. Further analyses indicated that the results derived from DNA methylation (overall accuracy: 97.77%) are better than those derived from mRNA expression (overall accuracy: 88.01%), microRNA expression (overall accuracy: 91.03%) and lncRNA expression (overall accuracy: 95.7%). It has been suggested that we can achieve an overall accuracy >90% using only 1,000 methylated CpG sites for prediction. In this work, we comprehensively evaluated the performance of classifiers based on different profiles for the tumor origin detection. Our findings demonstrated the effectiveness of DNA methylation as biomarker for tracing tumor tissue origin using LASSO and neural network.

Role of Epigenetic Modulation in Neurodegenerative Diseases: Implications of Phytochemical Interventions.

Epigenetics defines changes in cell function without involving alterations in DNA sequence. Neuroepigenetics bridges neuroscience and epigenetics by regulating gene expression in the nervous system and its impact on brain function. With the increase in research in recent years, it was observed that alterations in the gene expression did not always originate from changes in the genetic sequence, which has led to understanding the role of epigenetics in neurodegenerative diseases (NDDs) including Alzheimer's disease (AD) and Parkinson's disease (PD). Epigenetic alterations contribute to the aberrant expression of genes involved in neuroinflammation, protein aggregation, and neuronal death. Natural phytochemicals have shown promise as potential therapeutic agents against NDDs because of their antioxidant, anti-inflammatory, and neuroprotective effects in cellular and animal models. For instance, resveratrol (grapes), curcumin (turmeric), and epigallocatechin gallate (EGCG; green tea) exhibit neuroprotective effects through their influence on DNA methylation patterns, histone acetylation, and non-coding RNA expression profiles. Phytochemicals also aid in slowing disease progression, preserving neuronal function, and enhancing cognitive and motor abilities. The present review focuses on various epigenetic modifications involved in the pathology of NDDs, including AD and PD, gene expression regulation related to epigenetic alterations, and the role of specific polyphenols in influencing epigenetic modifications in AD and PD.

Identification of Long Noncoding RNAs Expression Profiles Between Gallstone and Gallbladder Cancer Using Next-Generation Sequencing Analysis.

Gallstone disease (GS) is an important risk factor for Gallbladder cancer (GBC). However, the mechanisms of the progression of GS to GBC remain unclear. Long non-coding RNA (lncRNA), modulates DNA/RNA/proteins at epigenetic, pre-transcriptional, transcriptional and posttranscriptional levels, and plays a potential therapeutic role in various diseases. This study aims to identify lncRNAs that have a potential impact on GS-promoted GBC progression. Six GBC patients without GS, six normal gallbladder tissues, nine gallstones and nine GBC patients with GS were admitted to our hospital. The next-generation RNA-sequencing was performed to analyze differentially expressed (DE) lncRNA and messenger RNA (mRNA) in four groups. Then overlapping and specific molecular signatures were analyzed. We identified 29 co-DEGs and 500 co-DElncRNAs related to gallstone or GBC. The intersection and concatenation of co-DEGs and co-DElncRNA functionally involved in focal adhesion, Transcriptional misregulation in cancers, Protein digestion and absorption, and ECM-receptor interaction signaling pathways may contribute to the development of gallbladder cancer. Further exploration is necessary for early diagnosis and the potential treatment of GBC. FXYD2, MPZL1 and PAH were observed in both co-DEGs and co-DElncRNA and validated by qRT-PCR. Our data identified a series of DEGs and DElncRNAs, which were involved in the progression of GBC and GS-related metabolism pathways. Compared to GBC, the GS profile was more similar to para-tumor tissues in transcriptome level and lower risk of cancer. Further exploration is necessary from GBC patients with different periods of follow-up gallstone.

Identification and bioinformatics analysis of lncRNAs in serum of patients with ankylosing spondylitis

ObjectivesThe aim of this study was to explore the long non-coding RNA (lncRNA) expression profiles in serum of patients with ankylosing spondylitis (AS). The role of these lncRNAs in this complex autoimmune situation needs to be evaluated.MethodsWe used high-throughput whole-transcriptome sequencing to generate sequencing data from three patients with AS and three normal controls (NC). Then, we performed bioinformatics analyses to identify the functional and biological processes associated with differentially expressed lncRNAs (DElncRNAs). We confirmed the validity of our RNA-seq data by assessing the expression of eight lncRNAs via quantitative reverse transcription polymerase chain reaction (qRT-PCR) in 20 AS and 20 NC samples. We measured the correlation between the expression levels of lncRNAs and patient clinical index values using the Spearman correlation test.ResultsWe identified 72 significantly upregulated and 73 significantly downregulated lncRNAs in AS patients compared to NC. qRT-PCR was performed to validate the expression of selected DElncRNAs; the results demonstrated that the expression levels of MALAT1:24, NBR2:9, lnc-DLK1-35:13, lnc-LARP1-1:1, lnc-AIPL1-1:7, and lnc-SLC12A7-1:16 were consistent with the sequencing analysis results. Enrichment analysis showed that DElncRNAs mainly participated in the immune and inflammatory responses pathways, such as regulation of protein ubiquitination, major histocompatibility complex class I-mediated antigen processing and presentation, MAPkinase activation, and interleukin-17 signaling pathways. In addition, a competing endogenous RNA network was constructed to determine the interaction among the lncRNAs, microRNAs, and mRNAs based on the confirmed lncRNAs (MALAT1:24 and NBR2:9). We further found the expression of MALAT1:24 and NBR2:9 to be positively correlated with disease severity.ConclusionTaken together, our study presents a comprehensive overview of lncRNAs in the serum of AS patients, thereby contributing novel perspectives on the underlying pathogenic mechanisms of this condition. In addition, our study predicted MALAT1 has the potential to be deeply involved in the pathogenesis of AS.

Integrated analysis of endometrial stromal cell long noncoding RNA and mRNA expression profiles associated with TGF-β1-induced fibrosis.

Integrated analysis of endometrial stromal cell long noncoding RNA and mRNA expression profiles associated with TGF-β1-induced fibrosis.

Retroelements in targeted antitumor therapy (review)

Background: Pathological expression of retroelements is determined in most malignant tumors, which reflects the pathogenesis of tumors, since activated retrotransposons cause genomic instability due to a cascade of mutual regulatory influence events between transposons, tumor suppressors and oncogenes. These relationships are reflected in the expression profiles of certain long non-coding RNAs and miRNAs in specific tumor tissues, since retroelements are key sources of non-coding RNAs. Since retroelements serve as drivers for the initiation and progression of carcinogenesis, it is promising to use drugs aimed at inhibiting their expression. The aim of the study: To determine the available methods of influencing retroelements in antitumor therapy, to evaluate the ways of their further improvement for the effective treatment of malignant neoplasms. Materials and methods: The databases Scopus, WoS, PubMed were used to analyze the role of retroelements in the development of tumors, methods of influencing them in the treatment of neoplasms. Results: Reverse transcriptase inhibitors have proven to be effective. Silencing of retrotransposons by acting on histone modifiers can lead to a weakening of the antitumor immune response; therefore, this approach requires RNA guides that direct the formation of heterochromatin in the area where strictly specific retroelements are located. A promising method is viral mimicry aimed at activating the interferon and T-cell response to artificially activated endogenous retroviruses. For this purpose, inhibitors of histone methyltransferases, DNA methyltransferases, and histone deacetylases are used. Their joint use is most effective, especially with PD-1 checkpoint blockers. The arrangement of retroelements in gene introns has become the basis for the development of spliceosomal targeted therapy, which also initiates an antitumor immune response to double-stranded RNA transcripts. We suggest the possibility of using antisense oligonucleotides targeting retroelements in anticancer therapy. Such approach is used to treat age-related macular degeneration, Fukuyama muscular dystrophy, amyotrophic lateral sclerosis. Antisense oligonucleotides targeting microRNAs, proto-oncogenes, and oncosuppressors are used in anticancer therapy and are closely related to retroelements, which could become promising targets for antisense oligonucleotides. Conclusion: In antitumor therapy, it is possible to use two diametrically opposed strategies for influencing retroelements: inhibition and activation. The most promising way is a combination of these methods with specific silencing of retrotransposons using guides (complementary RNAs) and stimulation of the expression of elements not involved in carcinogenesis, but activating the immune response.