Evidence map›Paper›PMID 38988152›Full record

ReviewCurrent neuropharmacology2024

Myeloid-derived Suppressor Cells and Multiple Sclerosis.

Aurora Zanghì, Paola Sofia Di Filippo, Carlo Avolio, Emanuele D'Amico

Abstract readReview
In one paragraph

Review in Current neuropharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

4 authors.

Aurora ZanghìDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Paola Sofia Di FilippoDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Carlo AvolioDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Emanuele D'AmicoDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myeloid-Derived Suppressor Cells (MDSCs) are a heterogeneous population of immature myeloid cells that play important roles in maintaining immune homeostasis and regulating immune responses. MDSCs can be divided into two main subsets based on their surface markers and functional properties: granulocytic MDSCs (G-MDSCs) and monocytic MDSCs (M-MDSCs). Recently greatest attention has been paid to innate immunity in Multiple Sclerosis (MS), so the aim of our review is to provide an overview of the main characteristics of MDSCs in MS and its preclinical model by discussing the most recent data available. The immunosuppressive functions of MDSCs can be dysregulated in MS, leading to an exacerbation of the autoimmune response and disease progression. Antigen-specific peptide immunotherapy, which aims to restore tolerance while avoiding the use of non-specific immunosuppressive drugs, is a promising approach for autoimmune diseases, but the cellular mechanisms behind successful therapy remain poorly understood. Therefore, targeting MDSCs could be a promising therapeutic approach for MS. Various strategies for modulating MDSCs have been investigated, including the use of pharmacological agents, biological agents, and adoptive transfer of exogenous MDSCs. However, it remained unclear whether MDSCs display any therapeutic potential in MS and how this therapy could modulate different aspects of the disease. Collectively, all the described studies revealed a pivotal role for MDSCs in the regulation of MS.

Indexed as

Multiple SclerosisMyeloid-Derived Suppressor CellsAnimalsHumansG-MDSCsimmune responses.M-MDSCsMultiple sclerosismyeloid-derived suppressor cellstherapeutic strategies

Identifiers

PMID38988152
PMCPMC11519824

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Registered trials

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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.