Evidence map›Paper›PMID 29127522›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2018

Common genetic variation within miR-146a predicts disease onset and relapse in multiple sclerosis.

Yuan Zhou, Ming Chen, Steve Simpson, Robyn M Lucas, Jac C Charlesworth, Nicholas Blackburn, Ingrid van der Mei, Anne-Louise Ponsonby, Ausimmune/AUSLONG investigators group, Bruce V Taylor

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Epstein-Barr Virus and Neurological Diseases.Frontiers in molecular biosciences · 2021
    Review
  6. Review
  7. Article
  8. Article
  9. Environmental Influencers, MicroRNA, and Multiple Sclerosis.Journal of central nervous system disease · 2020
    Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. 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

10 authors at 2 institutions in 2 countries.

Yuan ZhouMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street TAS, Hobart, 7000, Australia.ORCID http://orcid.org/0000-0003-1962-2574
Ming ChenDepartment of Clinical Laboratory, Xinqiao Hospital, Third Military Medical University, Chongqing, China.
Steve SimpsonMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street TAS, Hobart, 7000, Australia.
Robyn M LucasNational Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University, Canberra, Australia.
Jac C CharlesworthMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street TAS, Hobart, 7000, Australia.
Nicholas BlackburnMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street TAS, Hobart, 7000, Australia.
Ingrid van der MeiMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street TAS, Hobart, 7000, Australia.
Anne-Louise PonsonbyMurdoch Children's Research Institute, University of Melbourne, Melbourne, Australia.
Ausimmune/AUSLONG investigators group
Bruce V TaylorMenzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street TAS, Hobart, 7000, Australia. Bruce.Taylor@utas.edu.au.
University of Tasmania · AUAustralian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite extensive studies focusing on the changes in expression of microRNAs (miRNAs) in multiple sclerosis (MS) compared to healthy controls, few studies have evaluated the association of genetic variants of miRNAs with MS clinical course. We investigated whether a functional polymorphism in the MS associated miR-146a gene predicted clinical course (hazard of conversion to MS and of relapse, and annualized change in disability), using a longitudinal cohort study of persons with a first demyelinating event followed up to their 5-year review. We found the genotype (GC+CC) of rs2910164 predicted relapse compared with the GG genotype (HR=2.09 (95% CI 1.42, 3.06), p=0.0001), as well as a near-significant (p=0.07) association with MS conversion risk. Moreover, we found a significant additive interaction between rs2910164 and baseline anti-EBNA-1 IgG titers predicting risk of conversion to MS (relative excess risk due to interaction [RERI] 2.39, p=0.00002) and of relapse (RERI 1.20, p=0.006). Supporting these results, similar results were seen for the other EBV-correlated variables: anti-EBNA-2 IgG titers and past history of infectious mononucleosis. There was no association of rs2910164 genotype for disability progression. Our findings provide evidence for miR-146a and EBV infection in modulating MS clinical course.

Indexed as

AdultAge of OnsetAntibodiesDisability EvaluationDisease ProgressionEpstein-Barr Virus Nuclear AntigensFemaleGenetic Predisposition to DiseaseGenotypeHumansKaplan-Meier EstimateLongitudinal StudiesMaleMicroRNAsMiddle AgedMultiple SclerosisAntibodiesEBV-encoded nuclear antigen 1Epstein-Barr Virus Nuclear AntigensMicroRNAsMIRN146 microRNA, humanConversion to MSEDSSmiR-146aRelapse

Identifiers

PMID29127522
OpenAlexW2767849972

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.