Evidence map›Paper›PMID 31721530›Full record

ArticleCell journal2020

Evaluation of The Expression Levels of Three Long Non-Coding RNAs in Multiple Sclerosis.

Afshin Moradi, Mahdis Rahimi Naiini, Nasrin Yazdanpanahi, Hossein Tabatabaeian, Fariba Nabatchian, Masoud Baghi, Mansoureh Azadeh, Kamran Ghaedi

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In one paragraph

Article in Cell journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Afshin Moradi *Department of Medical Laboratory Sciences, Faculty of Allied Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mahdis Rahimi Naiini *Department of Biochemistry, Medical School and Kerman Physiology Research Center, Kerman University of Medical Science, Kerman, Iran.
Nasrin Yazdanpanahi *Department of Genetics, Falavarjan Branch, Islamic Azad University, Isfahan, Iran.
Hossein Tabatabaeian *Division of Genetics, Department of Biology, Faculty of Sciences, University of Isfahan, Isfahan, Iran.
Fariba NabatchianDepartment of Medical Laboratory Sciences, Faculty of Allied Medicine, Tehran University of Medical Sciences, Tehran, Iran. Electronic Address: fnabatchian@yahoo.com.
Masoud BaghiDepartment of Biology, School of Sciences, University of Isfahan, Isfahan, Iran.
Mansoureh AzadehZist-fanavari Novin, Biotechnology Institute, Isfahan, Iran.
Kamran GhaediDepartment of Biology, School of Sciences, University of Isfahan, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMultiple sclerosis (MS) is a chronic disorder involving both inflammatory and neurodegenerative responses. Long non-coding RNAs (lncRNAs) have been had an emerging role as the biomarkers of different disorders, including autoimmune diseases. Previous studies have shown that NR_003531.3 (MEG3a), AC000061.1_201, and AC007182.6 play a role in the pathogenesis of human autoimmune diseases. However, the potential significance of these lncRNAs, as the diagnostic biomarkers of MS, has not been studied yet. We aimed to quantitatively evaluate the expression levels of NR_003531.3, AC000061.1_201, and AC007182.6 in peripheral blood samples of MS patients in comparison with healthy controls. MATERIALS AND

methodsIn this case-control study, the blood samples from 20 MS patients and 10 healthy controls were collected. Total RNA was extracted, and the expression levels of three selected lncRNAs were quantitatively measured using the quantitative real time-polymerase chain reaction (qRT-PCR) method.

resultsWe detected a significant down-regulation in the expression of NR_003531.3 in MS patients, while no marked changes were observed in the expression of AC000061.1_201 and AC007182.6 in patients compared with controls. Based on the receiver operating characteristic (ROC) curve analysis, NR_003531.3 could discriminate MS patients from healthy subjects effectively. Regarding the prognosis of MS patients, NR_003531.3 is significantly and inversely correlated with the expanded disability status scale (EDSS).

conclusionThe potential role of NR_003531.3 lncRNA as a diagnostic biomarker to distinguish MS patients is proposed. Prognostically, NR_003531.3 correlates with lower disability rates in MS patients.

Indexed as

Autoimmune DiseaseGene Expression ProfilingLong Non-coding RNAMultiple SclerosisNeurodegenerative Disease

Identifiers

PMID31721530
PMCPMC6874792

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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.