Literature DB >> 27034068

Expression Profile of Long Non-Coding RNAs in Serum of Patients with Multiple Sclerosis.

Massimo Santoro1, Viviana Nociti2,3, Matteo Lucchini4, Chiara De Fino4, Francesco Antonio Losavio4, Massimiliano Mirabella4.   

Abstract

Multiple sclerosis (MS) is a chronic progressive inflammatory disease of the central nervous system (CNS) that leads to severe neurological disability. There is an interest in potential biomarkers that could provide information predicting disease activity and progression. Long non-coding RNAs (lncRNAs) have been reported to be involved in the pathogenesis of various human disorders, such as oncologic, cardiovascular, and neurodegenerative diseases. No studies have so far explored a potential link between lncRNAs and MS pathology. We screened 84 lncRNAs, involved in autoimmunity and human inflammatory response, in the serum of relapsing-remitting MS (RR-MS) patients (n = 12), age-matched controls (n = 12), and in patients with idiopathic inflammatory myopathy (IIM) (n = 12). We used the following criteria for lncRNAs analysis: fold change >2 and p < 0.05. According to these criteria, by real-time PCR, we identified three lncRNAs up-regulated in RR-MS patients respectively to controls: nuclear paraspeckle assembly transcript 1 (NEAT1), taurine up-regulated 1 (TUG1), and 7SK small nuclear (RN7SK RNA). Literature data showed that NEAT1, TUG1, and RN7SK RNA play an important role in neurodegenerative processes. Our results indicate that these lncRNAs may be involved in MS pathogenesis. Additional experimental data are needed to clarify the molecular mechanisms through which lncRNAs up-regulation may have a role in MS.

Entities:  

Keywords:  Autoimmunity; Long non-coding RNA; Multiple sclerosis; Neurodegeneration

Mesh:

Substances:

Year:  2016        PMID: 27034068     DOI: 10.1007/s12031-016-0741-8

Source DB:  PubMed          Journal:  J Mol Neurosci        ISSN: 0895-8696            Impact factor:   3.444


  32 in total

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3.  Induction of TAK (cyclin T1/P-TEFb) in purified resting CD4(+) T lymphocytes by combination of cytokines.

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Review 4.  Emerging role of long noncoding RNAs in autoimmune diseases.

Authors:  Guo-Cui Wu; Hai-Feng Pan; Rui-Xue Leng; De-Guang Wang; Xiang-Pei Li; Xiao-Mei Li; Dong-Qing Ye
Journal:  Autoimmun Rev       Date:  2015-05-16       Impact factor: 9.754

5.  MENepsilon/beta noncoding RNAs are essential for structural integrity of nuclear paraspeckles.

Authors:  Yasnory T F Sasaki; Takashi Ideue; Miho Sano; Toutai Mituyama; Tetsuro Hirose
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7.  MEN epsilon/beta nuclear-retained non-coding RNAs are up-regulated upon muscle differentiation and are essential components of paraspeckles.

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Review 8.  RNA in unexpected places: long non-coding RNA functions in diverse cellular contexts.

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  28 in total

Review 1.  Role of long non-coding RNAs (LncRNAs) in multiple sclerosis: a brief review.

Authors:  Eskandar Taghizadeh; Forough Taheri; Mohammad Mahdi Samadian; Mohammad Soudyab; Abbas Abi; Seyed Mohammad Gheibi Hayat
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Review 2.  LncRNAs: macromolecules with big roles in neurobiology and neurological diseases.

Authors:  Ye Chen; Jun Zhou
Journal:  Metab Brain Dis       Date:  2017-02-04       Impact factor: 3.584

Review 3.  Role of taurine, its haloamines and its lncRNA TUG1 in both inflammation and cancer progression. On the road to therapeutics? (Review).

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Review 4.  Genetic and Molecular Biology of Multiple Sclerosis Among Iranian Patients: An Overview.

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5.  HOTAIR but not ANRIL long non-coding RNA contributes to the pathogenesis of multiple sclerosis.

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6.  The potential role of serum expression profile of long non coding RNAs, Cox2 and HOTAIR as novel diagnostic biomarkers in systemic lupus erythematosus.

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8.  Expression analysis of long non-coding RNAs and their target genes in multiple sclerosis patients.

Authors:  Maziar Ganji; Arezou Sayad; Mir Davood Omrani; Shahram Arsang-Jang; Mehrdokht Mazdeh; Mohammad Taheri
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9.  A single-cell atlas of entorhinal cortex from individuals with Alzheimer's disease reveals cell-type-specific gene expression regulation.

Authors:  Alexandra Grubman; Gabriel Chew; John F Ouyang; Guizhi Sun; Xin Yi Choo; Catriona McLean; Rebecca K Simmons; Sam Buckberry; Dulce B Vargas-Landin; Daniel Poppe; Jahnvi Pflueger; Ryan Lister; Owen J L Rackham; Enrico Petretto; Jose M Polo
Journal:  Nat Neurosci       Date:  2019-12       Impact factor: 24.884

10.  Integrated analysis of differentially expressed genes and a ceRNA network to identify hub lncRNAs and potential drugs for multiple sclerosis.

Authors:  Tianfeng Wang; Si Xu; Li Liu; Shuang Li; Huixue Zhang; Xiaoyu Lu; Xiaotong Kong; Danyang Li; Jianjian Wang; Lihua Wang
Journal:  Am J Transl Res       Date:  2022-02-15       Impact factor: 4.060

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