Evidence map›Paper›PMID 24587374›Full record

ArticlePloS one2014

Transcriptomic profile reveals gender-specific molecular mechanisms driving multiple sclerosis progression.

Haritz Irizar, Maider Muñoz-Culla, Lucia Sepúlveda, Matías Sáenz-Cuesta, Álvaro Prada, Tamara Castillo-Triviño, Gorka Zamora-López, Adolfo López de Munain, Javier Olascoaga, David Otaegui

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.3field-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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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  11. Alterations in Immune-Related Defensin Alpha 4 (International journal of inflammation · 2022
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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

10 authors at 4 institutions in 2 countries.

Haritz IrizarMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain ; Spanish Multiple Sclerosis Net (REEM), Barcelona, Spain.
Maider Muñoz-CullaMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain ; Spanish Multiple Sclerosis Net (REEM), Barcelona, Spain.
Lucia SepúlvedaMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain.
Matías Sáenz-CuestaMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain ; Spanish Multiple Sclerosis Net (REEM), Barcelona, Spain.
Álvaro PradaSpanish Multiple Sclerosis Net (REEM), Barcelona, Spain ; Hospital Universitario Donostia, Immunology Department, Donostia-San Sebastian, Spain.
Tamara Castillo-TriviñoMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain ; Spanish Multiple Sclerosis Net (REEM), Barcelona, Spain.
Gorka Zamora-LópezBernstein Center for Computational Neuroscience, Humboldt-Universität zu Berlin, Berlin, Germany ; Center for Brain and Cognition, Universistat Pompeu Fabra, Barcelona, Spain.
Adolfo López de MunainHospital Universitario Donostia, Neurology Department, Donostia-San Sebastian, Spain ; Centro de Investigaciones Biomédicas en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto Carlos III, Ministerio de Ciencia e Innovación, Madrid, Spain.
Javier OlascoagaMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain ; Spanish Multiple Sclerosis Net (REEM), Barcelona, Spain ; Hospital Universitario Donostia, Neurology Department, Donostia-San Sebastian, Spain.
David OtaeguiMultiple Sclerosis Unit, Neuroscience Area, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain ; Spanish Multiple Sclerosis Net (REEM), Barcelona, Spain.
Biogipuzkoa Health Research Institute · ESSpanish Multiple Sclerosis Network · ESBernstein Center for Computational Neuroscience Berlin · DEBiomedical Research Networking Center on Neurodegenerative Diseases · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the most common clinical presentation of multiple sclerosis (MS) is the so called Relapsing-Remitting MS (RRMS), the molecular mechanisms responsible for its progression are currently unknown. To tackle this problem, a whole-genome gene expression analysis has been performed on RRMS patients.

resultsThe comparative analysis of the Affymetrix Human Gene 1.0 ST microarray data from peripheral blood leucocytes obtained from 25 patients in remission and relapse and 25 healthy subjects has revealed 174 genes altered in both remission and relapse, a high proportion of them showing what we have called "mirror pattern": they are upregulated in remission and downregulated in relapse or vice versa. The coexpression analysis of these genes has shown that they are organized in three female-specific and one male-specific modules.

conclusionsThe interpretation of the modules of the coexpression network suggests that Epstein-Barr virus (EBV) reactivation of B cells happens in MS relapses; however, qPCR expression data of the viral genes supports that hypothesis only in female patients, reinforcing the notion that different molecular processes drive disease progression in females and males. Besides, we propose that the "primed" state showed by neutrophils in women is an endogenous control mechanism triggered to keep EBV reactivation under control through vitamin B12 physiology. Finally, our results also point towards an important sex-specific role of non-coding RNA in MS.

Indexed as

Gene Regulatory NetworksAdultAgedB-LymphocytesDisease ProgressionEpstein-Barr Virus InfectionsFemaleHerpesvirus 4, HumanHumansLeukocytesMaleMiddle AgedModels, GeneticMultiple Sclerosis, Relapsing-RemittingOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionTranscobalamins

Identifiers

PMID24587374
PMCPMC3938749
OpenAlexW2047611848

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.