ArticleFrontiers in genetics2022
Expression of T cell-related lncRNAs in multiple sclerosis.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Long Non-Coding RNAs in Multiple Sclerosis-Differential Expression and Functional Implications.Genes · 2025Pooled it
- Gouty inflammation: genetic mechanisms towards flare therapy.Current opinion in rheumatology · 2025Review
- Aberrant Expression of TH2LCRR and GATA3 in Peripheral Blood Mononuclear Cells of Patients with Acute-Phase Schizophrenia: Integrative Bioinformatics Analysis and Experimental Study.Molecular neurobiology · 2025Article
- Role of Ocrelizumab in modulating gene and microRNA expression in multiple sclerosis.Non-coding RNA research · 2025Article
- Genomic ncRNAs regulating mitochondrial function in neurodegeneration: a neglected clue in the complex etiopathogenesis of multiple sclerosis.Cell & bioscience · 2025Article
- Tissue levels of regulatory T cell related lncRNAs in lung cancer: evidence for dysregulation of immune responses.Discover oncology · 2025Article
- Molecular insights into the hedgehog signaling pathway correlated non-coding RNAs in acute lymphoblastic leukemia, a bioinformatics study.Annals of hematology · 2024Article
- Multiple Sclerosis: Roles of miRNA, lcnRNA, and circRNA and Their Implications in Cellular Pathways.International journal of molecular sciences · 2024Review
- Response to Fingolimod in Multiple Sclerosis Patients Is Associated with a Differential Transcriptomic Regulation.International journal of molecular sciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long non-coding RNAs (lncRNAs) have been demonstrated to in the pathophysiology of multiple sclerosis (MS). In order to appraise the role of T cell-related lncRNAs in this disorder, we assessed expressions of NEST, RMRP, TH2-LCR, MAFTRR and FLICR in MS patients and healthy individuals. We detected significant difference in the expression of RMRP and FLICR between cases and controls. There were substantial correlations between expressions of NEST, RMRP, TH2-LCR, MAFTRR and FLICR lncRNAs among patients, but not controls. The strongest correlations were found between RMRP and TH2-LCR, and between MAFTRR and RMRP with correlation coefficients of 0.69 and 0.59, respectively. ROC curve analysis revealed appropriate power of FLICR in differentiating between MS patients and healthy controls (AUC value = 0.84). Expression of NEST lncRNA was positively correlated with disease duration in MS patients, but negatively correlated with age at onset. In brief, we reported dysregulation of two T cell-related lncRNAs in MS patients and proposed FLICR as a putative marker for this disorder.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.