Evidence map›Paper›PMID 39972361›Full record

ArticleArthritis research & therapy2025

Distinct metabolic profiles of circulating plasmacytoid dendritic cells in systemic sclerosis patients stratified by clinical phenotypes.

Beatriz H Ferreira, Carolina Mazeda, Eduardo Dourado, João L Simões, Ana Rita Prata, Rafael J Argüello, Iola F Duarte, Philippe Pierre, Catarina R Almeida

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2025. 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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Beatriz H FerreiraInstitute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.
Carolina MazedaRheumatology Department, Unidade Local de Saúde da Região de Aveiro, Aveiro, Portugal.
Eduardo DouradoRheumatology Department, Unidade Local de Saúde da Região de Aveiro, Aveiro, Portugal.
João L SimõesInstitute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.
Ana Rita PrataRheumatology Department, Unidade Local de Saúde da Região de Aveiro, Aveiro, Portugal.
Rafael J ArgüelloCentre d'Immunologie de Marseille-Luminy, Aix Marseille Université, CNRS, INSERM, Marseille, France.
Iola F DuarteDepartment of Chemistry, CICECO - Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal.
Philippe PierreInstitute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.
Catarina R AlmeidaInstitute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal. cra@ua.pt.

Funding

Fundação para a Ciência e a Tecnologia (LA/P/0008/202, DOI 10.54499/LA/P/0008/2020; UIDP/50006/2020, DOI 10.54499/UIDP/50006/2020; UIDB/50006/2020, DOI10.54499/UIDB/50006/2020)Fundação para a Ciência e a Tecnologia (FCT) UIDB/04501/2020, DOI 10.54499/UIDB/04501/2020, UIDP/04501/2020, DOI 10.54499/UIDP/04501/2020Fundação para a Ciência e a Tecnologia (FCT) UIDB/50011/2020 (DOI 10.54499/UIDB/50011/2020), UIDP/50011/2020 (DOI 10.54499/UIDP/50011/2020) & LA/P/0006/2020 (DOI 10.54499/LA/P/0006/2020)World Scleroderma Foundation and Edith Busch Stiftung EBF and WSF Research Grant Programme 2022-2023
6 · The paper itself

Abstract

backgroundPlasmacytoid dendritic cells (pDCs) play a key role in systemic sclerosis (SSc) pathophysiology. However, despite the recognised importance of metabolic reprogramming for pDC function, their metabolic profile in SSc remains to be elucidated. Thus, our study aimed to explore the metabolic profile of pDCs in SSc and their potential contribution to the disease.

methodsPeripheral blood mononuclear cells (PBMCs) were isolated from the blood of healthy donors and SSc patients. SCENITH™, a single-cell flow cytometry-based method, was applied to infer the metabolic profile of circulating pDCs from patients with SSc. pDCs (CD304

resultsCirculating pDCs from ten healthy donors and fourteen SSc patients were analysed. pDCs from anti-centromere antibody-positive (ACA

conclusionsAn innovative single cell flow cytometry-based methodology was applied to analyse the metabolic profile of pDCs from SSc patients. Our results suggest that pDCs from ACA

Indexed as

Dendritic CellsMetabolomeScleroderma, SystemicAdultAgedFemaleFlow CytometryHumansLeukocytes, MononuclearMaleMiddle AgedPhenotypeToll-Like Receptor 9TLR9 protein, humanToll-Like Receptor 9Dendritic cellsImmunometabolismPlasmacytoid dendritic cellsSclerodermaSystemic sclerosis

Identifiers

PMID39972361
PMCPMC11837673

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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.