Evidence map›Paper›PMID 40589765›Full record

ReviewFrontiers in immunology2025

Brain-derived blood biomarkers in multiple sclerosis-current trends and beyond.

Shamundeeswari Anandan, Karina Maciak, Regina Breinbauer, Sepideh Mostafavi, Christopher Elnan Kvistad, Oivind Torkildsen, Kjell-Morten Myhr

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Shamundeeswari AnandanDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Karina MaciakDepartment of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland.
Regina BreinbauerFaculty of Medicine, Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Erlangen, Germany.
Sepideh MostafaviNeuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway.
Christopher Elnan KvistadNeuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway.
Oivind TorkildsenDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Kjell-Morten MyhrDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic inflammatory and neurodegenerative disease of the nervous system and a main cause of neurological disability in young adults. Most disease-modifying therapies are administrated as long-term maintenance therapies and may, thereby, increase the risk of infections and other immune-mediated side effects. In the last years, several cerebrospinal fluid and soluble blood biomarkers have been suggested as potential key tools for diagnosis, prognosis, and treatment monitoring of MS. Recently, the specific ability of brain-derived blood extracellular vesicles (EVs) that cross the blood-brain barrier into the bloodstream, reflecting the current immune status of the central nervous system, has kindled interest as potential biomarkers. In this review, we discuss the current trends of clinical brain-derived blood biomarkers, with a special focus on the emerging role of brain-derived blood EVs in MS.

Indexed as

BiomarkersBrainExtracellular VesiclesMultiple SclerosisAnimalsBlood-Brain BarrierHumansBiomarkersbrain-derived blood biomarkerscerebrospinal fluid (CSF)extracellular vesicles (EVs)magnetic resonance imaging (MRI)multiple sclerosis (MS)

Identifiers

PMID40589765
PMCPMC12206755

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.