Evidence map›Paper›PMID 23748426›Full record

ArticleHuman molecular genetics2013

Blood RNA profiling in a large cohort of multiple sclerosis patients and healthy controls.

Dorothee Nickles, Hsuan P Chen, Michael M Li, Pouya Khankhanian, Lohith Madireddy, Stacy J Caillier, Adam Santaniello, Bruce A C Cree, Daniel Pelletier, Stephen L Hauser and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 5% 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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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  10. The intracellular cation channel TMEM176B as a dual immunoregulator.Frontiers in cell and developmental biology · 2022
    Review
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  19. Article
  20. A pathogenic and clonally expanded B cell transcriptome in active multiple sclerosis.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

12 authors at 1 institution in 1 country.

Dorothee Nickles
Hsuan P Chen
Michael M Li
Pouya Khankhanian
Lohith Madireddy
Stacy J Caillier
Adam Santaniello
Bruce A C Cree
Daniel Pelletier
Stephen L Hauser
Jorge R Oksenberg
Sergio E Baranzini
University of California, San Francisco · US

Funding

GENE LINKAGE STUDY OF MULTIPLE SCLEROSIS SIBLING PAIRSR01NS026799 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAUSER, STEPHEN L, OKSENBERG, JORGE R. · 1989 to 2018
$6.8M
NINDS NIH HHS R01 NS 026799NINDS NIH HHS R01 NS026799
6 · The paper itself

Abstract

Multiple sclerosis (MS) is the most common autoimmune disease of the central nervous system (CNS). It is characterized by the infiltration of autoreactive immune cells into the CNS, which target the myelin sheath, leading to the loss of neuronal function. Although it is accepted that MS is a multifactorial disorder with both genetic and environmental factors influencing its development and course, the molecular pathogenesis of MS has not yet been fully elucidated. Here, we studied the longitudinal gene expression profiles of whole-blood RNA from a cohort of 195 MS patients and 66 healthy controls. We analyzed these transcriptomes at both the individual transcript and the biological pathway level. We found 62 transcripts to be significantly up-regulated in MS patients; the expression of 11 of these genes was counter-regulated by interferon treatment, suggesting partial restoration of a 'healthy' gene expression profile. Global pathway analyses linked the proteasome and Wnt signaling to MS disease processes. Since genotypes from a subset of individuals were available, we were able to identify expression quantitative trait loci (eQTL), a number of which involved two genes of the MS gene signature. However, all these eQTL were also present in healthy controls. This study highlights the challenge posed by analyzing transcripts from whole blood and how these can be mitigated by using large, well-characterized cohorts of patients with longitudinal follow-up and multi-modality measurements.

Indexed as

Gene Expression ProfilingAdultAgedCase-Control StudiesFemaleGene Expression RegulationHumansInterferonsLongitudinal StudiesMaleMiddle AgedMultiple SclerosisProteasome Endopeptidase ComplexQuantitative Trait LociRNATranscriptomeInterferonsProteasome Endopeptidase ComplexRNA

Identifiers

PMID23748426
PMCPMC3781642
OpenAlexW2118525500

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.