Evidence map›Paper›PMID 41134965›Full record

ReviewScience progress

Multiple sclerosis: Glial cell activation - Biomarker advances and their translational significance.

Weichen Zeng, Huixian Wu, Ying Huang

Abstract readReview
In one paragraph

Review in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Weichen ZengDepartment of Neurology, Jinshan Hospital of Fudan University, Shanghai, China.
Huixian WuDepartment of Neurology, Jinshan Hospital of Fudan University, Shanghai, China.
Ying HuangDepartment of Neurology, Jinshan Hospital of Fudan University, Shanghai, China.ORCID 0000-0002-4655-5162

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of multiple sclerosis (MS) predominantly hinges on the 2017 McDonald criteria, integrated with adjunctive diagnostic modalities including cerebrospinal fluid (CSF) analysis and magnetic resonance imaging (MRI). Notwithstanding their utility, these established methods exhibit inherent limitations in fully elucidating the complex histopathological transformations characteristic of MS. Specifically, they encounter difficulties in precisely quantifying and standardizing patient-specific pathological features, and often lack the requisite precision to delineate the disease's nuanced pathological hallmarks. Recent advancements in neuroimaging, biomarker discovery, and genomic profiling have yielded substantial evidence implicating glial cell activation as a central pathogenic mechanism in MS. In particular, the activation of astrocytes and microglia has been shown to play a pivotal role in disease progression, precipitating a cascade of events that culminate in neuronal axonal demise. The identification of distinct glial cell subsets represents a critical step towards the development of targeted therapeutic strategies. Biomarker-based approaches offer a powerful paradigm for in-vivo interrogation of disease processes, facilitating a more comprehensive understanding of MS pathophysiology and potentially paving the way for personalized treatment modalities. This paper provides a comprehensive overview of the current research on the pathophysiology of glial cells in MS, emphasizing newly identified biomarkers with potential value related to the damage of microglia and astrocytes in MS in recent years.

Indexed as

BiomarkersMultiple SclerosisNeurogliaAnimalsAstrocytesHumansMagnetic Resonance ImagingMicrogliaTranslational Research, BiomedicalBiomarkersastrocytesbiomarkersglial cellsmicrogliaMultiple sclerosis

Identifiers

PMID41134965
PMCPMC12569355

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.