Evidence map›Paper›PMID 39109081›Full record

ArticleFrontiers in endocrinology2024

Distinct association patterns of chemokine profile and cardiometabolic status in children and adolescents with type 1 diabetes and obesity.

Anita Špehar Uroić, Maša Filipović, Alan Šućur, Tomislav Kelava, Nataša Kovačić, Danka Grčević

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In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Anita Špehar UroićDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, University Hospital Center Zagreb, Zagreb, Croatia.
Maša FilipovićDepartment of Physiology and Immunology, School of Medicine, University of Zagreb, Zagreb, Croatia.
Alan ŠućurDepartment of Physiology and Immunology, School of Medicine, University of Zagreb, Zagreb, Croatia.
Tomislav KelavaDepartment of Physiology and Immunology, School of Medicine, University of Zagreb, Zagreb, Croatia.
Nataša KovačićLaboratory for Molecular Immunology, Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia.
Danka GrčevićDepartment of Physiology and Immunology, School of Medicine, University of Zagreb, Zagreb, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We compared peripheral blood (PBL) chemokine ligand/receptor profiles in children and adolescents with type 1 diabetes mellitus (T1D) or obesity (OB) (both involving inflammation and vascular complications) to identify their associations with cardiometabolic risk factors. Materials and methods: PBL samples from children and adolescents (12-18 years) included: healthy controls (n=29), patients with T1D (n=31) and OB subjects (n=34). Frequency of mononuclear cell populations and chemokine receptor expression (CCR2, CCR4, CXCR3, CXCR4) were determined by flow cytometry. Chemokine levels of CCL2, CCL5, CXCL10 and CXCL11 were measured by bead-based assay and CXCL12 by ELISA. Data were correlated with cardiovascular, metabolic and inflammatory parameters. Results: The proportion of CD14 Conclusion: Significantly changed chemokine ligand/receptor profiles were found in both T1D and OB even at a young age. Although different associations with cardiometabolic risk factors indicate disease-specific changes, overlapping pattern was found for the associations between CCR4

Indexed as

ChemokinesDiabetes Mellitus, Type 1AdolescentBiomarkersCardiometabolic Risk FactorsCardiovascular DiseasesCase-Control StudiesChildFemaleHumansMaleObesityPediatric ObesityBiomarkersChemokineschemokine receptorschemokineschildrenobesitytype 1 diabetes mellitus

Identifiers

PMID39109081
PMCPMC11300205

What Socratic holds

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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 Socratic graph.