The research progress of LncRNA involved in the regulation of inflammatory diseases

Zhao

Artificial Cells, Nanomedicine, and Biotechnology

2019

The present study planned to dig the potential impacts of long non-coding RNA B3GALT5-AS1 in acute pancreatitis (AP). A total of 66 patients who were diagnosed with AP using ultrasonic imaging were enrolled in the study. Expression levels of B3GALT5-AS1 in the serum of AP patients were determined. Afterwards, rat pancreatic AR42J acinar cells were disposed with caerulein to produce AP-like injury. The role and molecular mechanisms of B3GALT5-AS1 in AP were explored through in vitro cell experiments. The levels of lncRNA B3GALT5-AS1 were observed to be lessened in patients with AP relative to healthy controls. In addition, caerulein was observed to induce injuries in the AR42J cells (depressed cell viability, enhanced cell apoptosis, cytokines production, and levels of amylase). Overexpression of B3GALT5-AS1 alleviated the caerulein-produced injury in the AR42J cells. Moreover, it was determined that miR-203 showed a downside expression by B3GALT5-AS1 regulation, and the overexpression of B3GALT5-AS1 retrained caerulein-produced injury through the suppression of miR-203. In addition, it was observed that miR-203 lessened the level of nuclear factor interleukin-3 (NFIL3) and that NFIL3 was targeted by miR-203. Lastly, the impacts of B3GALT5-AS1 on caerulein-induced cell injury were manifested through the NF-jB signalling pathway. The data from the present study revealed that in patients with AP, B3GALT5-AS1 is expressed in reduced amounts. Overexpression of B3GALT5-AS1 may alleviate caerulein-induced cell injury in AR42J cells through the regulation of miR-203/NFIL3 axis and by inhibiting the activation of the NF-jB signals ARTICLE HISTORY

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: The pivotal role and mechanism of long non-coding RNA B3GALT5-AS1 in the diagnosis of acute pancreatitis

Zhao

Artificial Cells, Nanomedicine, and Biotechnology

2019

J of Periodontal Research

“…Though most lncRNAs have been studied in relation to processes such as carcinogenesis, osteogenesis, diabetes, neurological diseases, and cardiovascular diseases, increasing evidence suggests that lncRNAs are important regulators in the interaction between pathogens and hosts, acting as key regulators of both innate and adaptive immune responses . Emerging insights into the functions of lncRNAs in immune function suggest these may be valuable diagnostic, prognostic, and therapeutic targets for several inflammatory diseases . For instance, in rheumatoid arthritis (RA) an lncRNA, NR024118, has been found to reduce soft tissue and bone loss and its up‐regulation via drug therapy was effective in limiting disease .…”

Section: Introductionmentioning

confidence: 99%

Long non‐coding RNA and mRNA expression profiles in peri‐implantitis vs periodontitis

Liu

et al. 2019

Background and Objective:Peri-implantitis is a biofilm-mediated infectious disease that results in progressive loss of implant-supporting bone. As compared to its analogue periodontitis, peri-implantitis is generally known to be more aggressive, with comparatively rapid progression and less predictable treatment outcomes, especially when advanced. An understanding of molecular mechanisms underpinning the similarities and differences between peri-implantitis and periodontitis is essential to develop novel management strategies. This study aimed to compare long non-coding RNAs (lncRNAs) and messenger RNA (mRNA) expression profiles between peri-implantitis and periodontitis.Methods: Inflamed soft tissue from peri-implantitis and periodontitis lesions, and healthy gingival tissue controls were analyzed by microarray. Cluster graphs, gene ontology (GO) analysis, and pathway analysis were performed. Quantitative real-time PCR was employed to verify microarray results. The expression levels of RANKL and OPG in the three tissue types were also evaluated, using qRT-PCR. Coding non-coding (CNC) network analyses were performed.Results: Microarray analyses revealed 1079 lncRNAs and 1003 mRNAs as differentially expressed in peri-implantitis when compared to periodontitis. The cyclooxygenase-2 pathway was the most up-regulated biological process in peri-implantitis as compared to periodontitis, whereas hemidesmosome assembly was the most down-regulated pathway. Osteoclast differentiation was relatively up-regulated, and RANKL/OPG ratio was higher in peri-implantitis than in periodontitis. Conclusions:The study demonstrated that peri-implantitis and periodontitis exhibit significantly different lncRNA and mRNA expression profiles, suggesting that osteoclast differentiation-related pathways are comparatively more active in periimplantitis. These data highlight potential molecular targets for periodontitis and peri-implantitis therapy development. K E Y W O R D SlncRNA, microarray, peri-implantitis, periodontitis, transcriptome | 343 LIU et aL.

“…Hong et al [109], via RNA-seq, pinpointed differences between the inflamed and non-inflamed intestinal mucosa of CD patients and healthy controls. Of high interest in recent years is the study of noncoding RNAs and their role, as depicted in reviews and original articles [110][111][112][113][114][115][116].…”

Section: Transcriptomics In Ibdmentioning

confidence: 99%

Systems biology in inflammatory bowel diseases: on the way to precision medicine

Dovrolis

Filidou

Kolios

2019

aog

Inflammatory bowel diseases (IBD) are chronic and recurrent inflammatory disorders of the gastrointestinal tract. The elucidation of their etiopathology requires complex and multiple approaches. Systems biology has come to fulfill this need in approaching the pathogenetic mechanisms of IBD and its etiopathology, in a comprehensive way, by combining data from different scientific sources. In combination with bioinformatics and network medicine, it uses principles from computer science, mathematics, physics, chemistry, biology, medicine and computational tools to achieve its purposes. Systems biology utilizes scientific sources that provide data from omics studies (e.g., genomics, transcriptomics, etc.) and clinical observations, whose combined analysis leads to network formation and ultimately to a more integrative image of disease etiopathogenesis. In this review, we analyze the current literature on the methods and the tools utilized by systems biology in order to cover an innovative and exciting field: IBD-omics.