Evidence map›Paper›PMID 38478144›Full record

SynthesisMolecular neurobiology2024

Meta-analysis of the Selected Genetic Variants in Immune-Related Genes and Multiple Sclerosis Risk.

Weiguang Zhou, Weiqiong Hu, Lingyu Tang, Xiaorui Ma, Jiaxi Liao, Zhiyan Yu, Meifang Qi, Bifeng Chen, Jing Li

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular neurobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% of its field
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, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
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

9 authors at 1 institution in 1 country.

Weiguang Zhou *Department of Biological Science and Technology, School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 430070, China.
Weiqiong Hu *Department of Biological Science and Technology, School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 430070, China.
Lingyu TangInstitute of WUT-AMU, Wuhan University of Technology, Wuhan, 430070, China.
Xiaorui MaInstitute of WUT-AMU, Wuhan University of Technology, Wuhan, 430070, China.
Jiaxi LiaoDepartment of Biological Science and Technology, School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 430070, China.
Zhiyan YuInstitute of WUT-AMU, Wuhan University of Technology, Wuhan, 430070, China.
Meifang QiDepartment of Pharmaceutical Engineering, School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 430070, China.
Bifeng ChenDepartment of Biological Science and Technology, School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 430070, China. cbifeng@whut.edu.cn.
Jing LiDepartment of Biological Science and Technology, School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 430070, China. lij@whut.edu.cn.
Wuhan University of Technology · CN

Funding

Fundamental Research Funds for the Central Universities WUT: 2020IB029
6 · The paper itself

Abstract

Previous studies have suggested that certain variants in immune-related genes may participate in the pathogenesis of multiple sclerosis (MS), including rs17824933 in the CD6 gene, rs1883832 in the CD40 gene, rs2300747 in the CD58 gene, rs763361 in the CD226 gene, rs16944 in the IL-1β gene, rs2243250 in the IL-4 gene, and rs12722489 and rs2104286 in the IL-2Rα gene. However, the results remained inconclusive and conflicting. In view of this, a comprehensive meta-analysis including all eligible studies was conducted to investigate the association between these 8 selected genetic variants and MS risk. Up to June 2023, 64 related studies were finally included in this meta-analysis. The odds ratios (ORs) and corresponding 95% confidence intervals (CIs) calculated by the random-effects model were used to evaluate the strength of association. Publication bias test, sensitivity analyses, and trial sequential analysis (TSA) were conducted to examine the reliability of statistical results. Our results indicated that rs17824933 in the CD6 gene, rs1883832 in the CD40 gene, rs2300747 in the CD58 gene, rs763361 in the CD226 gene, and rs12722489 and rs2104286 in the IL-2Rα gene may serve as the susceptible factors for MS pathogenesis, while rs16944 in the IL-1β gene and rs2243250 in the IL-4 gene may not be associated with MS risk. However, the present findings need to be confirmed and reinforced in future studies.

Indexed as

Genetic Predisposition to DiseaseMultiple SclerosisPolymorphism, Single NucleotideAntigens, CDAntigens, Differentiation, T-LymphocyteCD40 AntigensCD58 AntigensGenetic VariationHumansInterleukin-1betaInterleukin-4Publication BiasRisk FactorsT Lineage-Specific Activation Antigen 1Antigens, CDAntigens, Differentiation, T-LymphocyteCD40 AntigensCD58 AntigensCD6 antigenInterleukin-1betaInterleukin-4T Lineage-Specific Activation Antigen 1Genetic variantsImmune-related geneMeta-analysisMultiple sclerosisSusceptibility

Identifiers

PMID38478144
OpenAlexW4392744440

What OpenQuestion holds

Textmetadata
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.