Evidence map›Paper›PMID 42763619›Full record

ArticleInternational journal of genomics2026

Downregulation of IFNG-AS1 and UCHL1-AS1 in Peripheral Blood Cells of Multiple Sclerosis Patients: IFNG-AS1 as a Candidate Diagnostic Biomarker.

Ali Rajabi, Jeffrey D Gross, Ali Samadi

Abstract read
In one paragraph

Article in International journal of genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ali RajabiDepartment of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran, tabrizu.ac.ir.ORCID https://orcid.org/0000-0002-5890-4462
Jeffrey D GrossReCELLebrate Regenerative Medicine Clinic, Henderson, Nevada, USA.ORCID https://orcid.org/0000-0002-3752-1307
Ali SamadiDepartment of Basic Sciences, School of Medicine, Bam University of Medical Sciences, Bam, Iran, mubam.ac.ir.ORCID https://orcid.org/0000-0002-0489-6022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multiple sclerosis (MS) is a neurodegenerative and inflammatory disease affecting gray and white matter in the brain. Due to the highly variable presentation of MS, making a reliable long-term diagnosis based solely on initial clinical findings is extremely challenging. Long noncoding RNAs (lncRNAs) have been shown in recent research to have a role as prospective biomarkers that may offer data to forecast the onset and course of disease. Methods: A total of 100 healthy controls and 120 MS patients with 98 relapsing-remitting (RR), 10 primary progressive (PP), and 12 secondary progressive (SP) cases were included in the blood sample collection. Gene expression was assessed with quantitative real-time PCR. The receiver operating characteristic (ROC) curve analysis was employed to evaluate the potential for diagnostic analysis of lncRNA levels. Results: The expressions of IFNG-AS1 and UCHL1-AS1 were found to be significantly decreased ( Conclusion: IFNG-AS1 demonstrates promising diagnostic potential for MS, whereas UCHL1-AS1 shows only modest discriminatory value. However, these findings are preliminary and require further validation with functional studies to confirm clinical utility.

Indexed as

biomarkerIFNG-AS1multiple sclerosisreal-time PCRUCHL1-AS1

Identifiers

PMID42763619
PMCPMC13589247

What OpenQuestion holds

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Registered trials

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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.