Evidence map›Paper›PMID 39723345›Full record

ArticleDegenerative neurological and neuromuscular disease2024

Integrated Transcriptome Analysis Reveals Molecular Subtypes and ceRNA Networks in Multiple Sclerosis.

Caili Ji, Li Ding, Fumin Jia, Zhiyong Zhang, Cong Long

Abstract read
In one paragraph

Article in Degenerative neurological and neuromuscular disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
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

5 authors.

Caili JiDepartment of Clinical Laboratory, Jingjiang People's Hospital Affiliated to Yangzhou University, Taizhou, Jiangsu, 214504, People's Republic of China.
Li DingDepartment of Clinical Laboratory, Jingjiang People's Hospital Affiliated to Yangzhou University, Taizhou, Jiangsu, 214504, People's Republic of China.
Fumin JiaCollege of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, People's Republic of China.
Zhiyong ZhangCollege of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, People's Republic of China.
Cong LongDepartment of Clinical Laboratory, Jingjiang People's Hospital Affiliated to Yangzhou University, Taizhou, Jiangsu, 214504, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Multiple sclerosis (MS) is a chronic autoimmune disease affecting the central nervous system (CNS). While extensively studied, its molecular subtypes and mechanisms remain poorly understood, hindering the identification of effective therapeutic targets. Methods: We used ConsensusClusterPlus to analyze transcriptome data from 215 MS patient samples, identifying distinct molecular subtypes. Differential expression analysis and variability assessments were conducted to further characterize these subtypes. Additionally, circular RNAs (circRNAs) and microRNAs (miRNAs) were screened for potential ceRNA interactions. Results: Three molecular subtypes were identified: MS- Discussion: Differential activation of immune pathways across MS subtypes suggests specific gene expression drives disease heterogeneity. We propose a circ_0045537/miR-196a-5p/

Indexed as

circRNAmiRNAmolecular subtypesmultiple sclerosisTUBA1A

Identifiers

PMID39723345
PMCPMC11669277

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.