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ArticleMolecular biology reports2025

Role of NEAT1 and HOTAIR long non-coding RNAs in Behcet's Disease pathogenesis and their correlation with target inflammatory cytokines.

Kamran Javidi-Aghdam, Amirhossein Faghfouri, Mehdi Jafarpour, Mostafa Akbarzadeh-Khiavi, Azam Safary, Omid Pourbagherian, Alireza Khabbazi

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Article in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

  1. SerumInternational journal of molecular sciences · 2026
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5 · Who and what money

Authors and funding

7 authors.

Kamran Javidi-AghdamResearch Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Amirhossein FaghfouriDepartment of Community Nutrition, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Mehdi JafarpourConnective Tissue Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mostafa Akbarzadeh-KhiaviLiver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Azam SafaryConnective Tissue Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. azamsafary@yahoo.com.ORCID http://orcid.org/0000-0002-8997-2003
Omid PourbagherianConnective Tissue Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Alireza KhabbaziConnective Tissue Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. dr_khabbazi@yahoo.com.ORCID http://orcid.org/0000-0002-9482-6967

Funding

Tabriz University of Medical Sciences 67867
6 · The paper itself

Abstract

backgroundRecent studies have highlighted the potential role of several long non-coding RNAs (lncRNAs) in the pathogenesis of Behçet's disease (BD). This study investigated the expression profiles of lncRNA NEAT1 and lncRNA HOTAIR, and their target cytokine genes, IL-6 and TNF-α, in active and inactive BD patients.

methodsThis cross-sectional study was conducted on peripheral blood mononuclear cells (PBMCs) obtained from 25 BD patients and 25 age-sex-matched healthy controls (HCs). BD activity was evaluated using the BDCAF (Behcet's Disease Current Activity Form) score. Correlation analysis assessed the relationship between BD activity and the expression levels of lncRNAs and their target cytokine genes. The diagnostic potential of the genes was evaluated using Receiver Operating Characteristic (ROC) curve analysis.

resultsThe expression levels of NEAT1, HOTAIR, IL-6, and TNF-α were significantly higher in the BD group compared to the HCs. However, there was no significant correlation between the expression levels of these genes and BD activity or the involvement of various organs. A positive correlation was observed between HOTAIR gene expression and IL-6 (R = 0.594, P-value = 0.009) in the BD group. In contrast, no significant correlation was found between HOTAIR and TNF-α or between NEAT1 and TNF-α or IL-6. The ROC curve analysis indicated strong diagnostic potential for the lncRNAs, with area under the curve (AUC) values of 0.90 for NEAT1 and 0.86 for HOTAIR.

conclusionThe elevated expression levels of NEAT1 and HOTAIR in BD patients suggest their potential involvement in the disease's pathogenesis, indicating promising targets for future diagnostic and therapeutic strategies in BD.

Indexed as

Behcet SyndromeCytokinesInterleukin-6Leukocytes, MononuclearRNA, Long NoncodingTumor Necrosis Factor-alphaAdultCase-Control StudiesCross-Sectional StudiesFemaleGene Expression RegulationHumansMaleMiddle AgedROC CurveCytokinesHOTAIR long untranslated RNA, humanIL6 protein, humanInterleukin-6NEAT1 long non-coding RNA, humanRNA, Long NoncodingTumor Necrosis Factor-alphaBehcet's diseaseEpigeneticHOTAIRIL-6Long non-coding RNAsNEAT1TNF-α

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.