Dataset Information

Long non-coding RNA antisense non-coding RNA in the INK4 locus expression correlates with increased disease risk, severity, and inflammation of allergic rhinitis.

ABSTRACT: The aim of the current study was to investigate the expression of long non-coding RNA (lncRNA) antisense non-coding RNA in the INK4 locus (ANRIL) in allergic rhinitis (AR) patients, and to further explore the association of lncRNA ANRIL expression with AR risk, severity, and inflammation.In this case-control study, 96 AR patients and 96 non-atopic obstructive snoring patients who underwent adenoid surgery were consecutively recruited. Disease severity of AR patients was assessed via individual nasal symptom score (INSS) and total nasal symptom score (TNSS). Nasal mucosa samples were collected from AR patients and controls, then lncRNA ANRIL and inflammatory cytokine levels were assessed via quantitative polymerase chain reaction.LncRNA ANRIL expression was increased in AR patients (3.605 [1.763-4.981]) compared with controls (1.183 [0.438-2.985]), and it well distinguished AR patients from controls with an area under curve of 0.746 (95% CI: 0.679-0.814). Correlation analyses revealed that lncRNA ANRIL expression was positively associated with itching score and congestion score, while it was not associated with nasal rhinorrhea score or sneezing score. Besides, lncRNA ANRIL was also positively correlated with TNSS, tumor necrosis factor ?, interleukin (IL)-4, IL-6, IL-13, and IL-17, while negatively associated with IL-10 and interferon-?. And no association of lncRNA ANRIL expression with IL-1?, IL-5, or IL-8 expression was discovered.LncRNA ANRIL expression correlates with increased AR risk, severity, and inflammation, implying that lncRNA ANRIL might be involved in the pathogenesis of AR.

SUBMITTER: Qian X

PROVIDER: S-EPMC6531218 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Long non-coding RNA antisense non-coding RNA in the INK4 locus expression correlates with increased disease risk, severity, and inflammation of allergic rhinitis.

Qian Xiaoqiong X Shi Song S Zhang Guijuan G

Medicine 20190501 20

The aim of the current study was to investigate the expression of long non-coding RNA (lncRNA) antisense non-coding RNA in the INK4 locus (ANRIL) in allergic rhinitis (AR) patients, and to further explore the association of lncRNA ANRIL expression with AR risk, severity, and inflammation.In this case-control study, 96 AR patients and 96 non-atopic obstructive snoring patients who underwent adenoid surgery were consecutively recruited. Disease severity of AR patients was assessed via individual n ...[more]

PMID: 31096432

Similar Datasets

Project description:IntroductionAlthough recent studies have shown that the human microbiome is involved in the pathogenesis of allergic diseases, the impact of microbiota on allergic rhinitis (AR) and non-allergic rhinitis (nAR) has not been elucidated. The aim of this study was to investigate the differences in the composition of the nasal flora in patients with AR and nAR and their role in the pathogenesis.MethodFrom February to September 2022, 35 AR patients and 35 nAR patients admitted to Harbin Medical University's Second Affiliated Hospital, as well as 20 healthy subjects who underwent physical examination during the same period, were subjected to 16SrDNA and metagenomic sequencing of nasal flora.ResultsThe microbiota composition of the three groups of study subjects differs significantly. The relative abundance of Vibrio vulnificus and Acinetobacter baumanni in the nasal cavity of AR patients was significantly higher when compared to nAR patients, while the relative abundance of Lactobacillus murinus, Lactobacillus iners, Proteobacteria, Pseudomonadales, and Escherichia coli was lower. In addition, Lactobacillus murinus and Lacttobacillus kunkeei were also negatively correlated with IgE, while Lacttobacillus kunkeei was positively correlated with age. The relative distribution of Faecalibacterium was higher in moderate than in severe AR patients. According to KEGG functional enrichment annotation, ICMT(protein-S-isoprenylcysteine O-methyltransferase,ICMT) is an AR microbiota-specific enzyme that plays a role, while glycan biosynthesis and metabolism are more active in AR microbiota. For AR, the model containing Parabacteroides goldstemii, Sutterella-SP-6FBBBBH3, Pseudoalteromonas luteoviolacea, Lachnospiraceae bacterium-615, and Bacteroides coprocola had the highest the area under the curve (AUC), which was 0.9733(95%CI:0.926-1.000) in the constructed random forest prediction model. The largest AUC for nAR is 0.984(95%CI:0.949-1.000) for the model containing Pseudomonas-SP-LTJR-52, Lachnospiraceae bacterium-615, Prevotella corporis, Anaerococcus vaginalis, and Roseburia inulinivorans.ConclusionIn conclusion, patients with AR and nAR had significantly different microbiota profiles compared to healthy controls. The results suggest that the nasal microbiota may play a key role in the pathogenesis and symptoms of AR and nAR, providing us with new ideas for the treatment of AR and nAR.

Project description:Gammaherpesviruses, including the human pathogens Epstein?Barr virus (EBV) and Kaposi's sarcoma-associated herpesvirus (KSHV) are oncogenic viruses that establish lifelong infections in hosts and are associated with the development of lymphoproliferative diseases and lymphomas. Recent studies have shown that the majority of the mammalian genome is transcribed and gives rise to numerous long non-coding RNAs (lncRNAs). Likewise, the large double-stranded DNA virus genomes of herpesviruses undergo pervasive transcription, including the expression of many as yet uncharacterized lncRNAs. Murine gammaperherpesvirus 68 (MHV68, MuHV-4, ?HV68) is a natural pathogen of rodents, and is genetically and pathogenically related to EBV and KSHV, providing a highly tractable model for studies of gammaherpesvirus biology and pathogenesis. Through the integrated use of parallel data sets from multiple sequencing platforms, we previously resolved transcripts throughout the MHV68 genome, including at least 144 novel transcript isoforms. Here, we sought to molecularly validate novel transcripts identified within the M3/M2 locus, which harbors genes that code for the chemokine binding protein M3, the latency B cell signaling protein M2, and 10 microRNAs (miRNAs). Using strand-specific northern blots, we validated the presence of M3-04, a 3.91 kb polyadenylated transcript that initiates at the M3 transcription start site and reads through the M3 open reading frame (ORF), the M3 poly(a) signal sequence, and the M2 ORF. This unexpected transcript was solely localized to the nucleus, strongly suggesting that it is not translated and instead may function as a lncRNA. Use of an MHV68 mutant lacking two M3-04-antisense pre-miRNA stem loops resulted in highly increased expression of M3-04 and increased virus replication in the lungs of infected mice, demonstrating a key role for these RNAs in regulation of lytic infection. Together these findings suggest the possibility of a tripartite regulatory relationship between the lncRNA M3-04, antisense miRNAs, and the latency gene M2.

Dataset Information

Long non-coding RNA antisense non-coding RNA in the INK4 locus expression correlates with increased disease risk, severity, and inflammation of allergic rhinitis.

Publications

Long non-coding RNA antisense non-coding RNA in the INK4 locus expression correlates with increased disease risk, severity, and inflammation of allergic rhinitis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets