Evidence map›Paper›PMID 39512405›Full record

ArticleAdvanced biomedical research2024

Evaluation of CD4

Roya Safari, Abdolhussein Shakurnia, Ata Ghadiri, Elham Rajaei, Karim Mowla, Maryam Haidari

Abstract read
In one paragraph

Article in Advanced biomedical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Roya SafariDepartment of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Abdolhussein ShakurniaDepartment of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Ata GhadiriDepartment of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Elham RajaeiDepartment of Rheumatology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Karim MowlaDepartment of Rheumatology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Maryam HaidariDepartment of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Psoriatic arthritis (PsA) is a systemic auto-immune condition characterized by diverse and distinctive inflammation, affecting both musculoskeletal and extra-articular systems. This study aims to investigate the role of regulatory T-cells (Tregs), specifically the CD4+CD25+/high CD127-/low subset, in PsA pathogenesis, and their potential as biomarkers and therapeutic targets. Materials and Methods: In a case-control study involving 40 PsA patients and 25 healthy individuals, CD4+ CD25+/high CD127-/low Tregs were analyzed in peripheral blood mononuclear cells (PBMCs) using flow cytometry. Disease activity was assessed using the Disease Activity in Psoriatic Arthritis (DAPSA) score. Results: We observed a significant positive correlation between Treg levels and the DAPSA score ( Conclusion: While not revealing significant differences in Treg populations, our research underscores the importance of considering specific Treg subsets in PsA. These subsets may respond differently to disease micro-environments and treatments, affecting disease progression. This study contributes to the broader comprehension of immune dysregulation in auto-immune diseases and suggests that further investigation into Treg subsets' function and count is warranted. Such insights may lead to more tailored therapeutic approaches for PsA patients.

Indexed as

Arthritisauto-immune diseasesbiomarkersimmune dysregulationpsoriaticregulatoryT-lymphocytes

Identifiers

PMID39512405
PMCPMC11542692

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.