Evidence map›Paper›PMID 31119864›Full record

ReviewProteomics2019

Proteomic Approaches to Decipher Mechanisms Underlying Pathogenesis in Multiple Sclerosis Patients.

Vaibhav Singh, Ajai Tripathi, Ranjan Dutta

Abstract readReview
In one paragraph

Review in Proteomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  7. Review
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  11. 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

3 authors.

Vaibhav SinghDepartment of Neurosciences, Cleveland Clinic, Cleveland, OH, 44195, USA.
Ajai TripathiDepartment of Neurosciences, Cleveland Clinic, Cleveland, OH, 44195, USA.
Ranjan DuttaDepartment of Neurosciences, Cleveland Clinic, Cleveland, OH, 44195, USA.ORCID 0000-0001-8502-4455

Funding

MicroRNAs as critical regulators of remyelination in Multiple SclerosisR01NS096148 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI DUTTA, RANJAN · 2016 to 2020
$1.7M
NINDS NIH HHS NS096148NINDS NIH HHS R01 NS096148
6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic inflammatory demyelinating and neurodegenerative disease of the central nervous system (CNS). The cause of MS is unknown, with no effective therapies available to halt the progressive neurological disability. Development of new and improvement of existing therapeutic strategies therefore require a better understanding of MS pathogenesis, especially during the progressive phase of the disease. This can be achieved through development of biomarkers that can help to identify disease pathophysiology and monitor disease progression. Proteomics is a powerful and promising tool to accelerate biomarker detection and contribute to novel therapeutics. In this review, an overview of how proteomic technology using CNS tissues and biofluids from MS patients has provided important clues to the pathogenesis of MS is provided. Current publications, pitfalls, as well as directions of future research involving proteomic approaches to understand the pathogenesis of MS are discussed.

Indexed as

BiomarkersCentral Nervous SystemDisease ProgressionHumansMass SpectrometryMultiple SclerosisPrognosisProteomeProteomicsBiomarkersProteomebiomarkerscentral nervous systemmultiple sclerosisproteomics

Identifiers

PMID31119864
PMCPMC6690771

What OpenQuestion holds

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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.