Evidence map›Paper›PMID 42278348›Full record

ArticleInternational journal of molecular sciences2026

Inflammation-Matrix Crosstalk in Vesicoureteral Reflux: Serum and Urinary ECM-Related Biomarkers and Renal Scarring.

Marija Ratković-Janković, Jelena Bašić, Tatjana Jevtović-Stoimenov, Emilija Golubović, Ljiljana Pejčić, Ivana Nikolić, Bojko Bjelaković

Abstract read
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Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marija Ratković-JankovićDepartment of Pediatrics, Faculty of Medicine, University of Niš, 18000 Niš, Serbia.ORCID 0009-0001-6917-6835
Jelena BašićDepartment of Biochemistry, Faculty of Medicine, University of Niš, 18000 Niš, Serbia.ORCID 0000-0002-9221-561X
Tatjana Jevtović-StoimenovDepartment of Biochemistry, Faculty of Medicine, University of Niš, 18000 Niš, Serbia.
Emilija GolubovićDepartment of Pediatrics, Faculty of Medicine, University of Niš, 18000 Niš, Serbia.
Ljiljana PejčićDepartment of Pediatrics, Faculty of Medicine, University of Niš, 18000 Niš, Serbia.ORCID 0000-0003-2010-2648
Ivana NikolićGynecology and Obstetrics Clinic "Narodni Front", 11000 Belgrade, Serbia.
Bojko BjelakovićDepartment of Pediatrics, Faculty of Medicine, University of Niš, 18000 Niš, Serbia.

Funding

Ministry of Science, Technological Development, and Innovation of the Republic of Serbia 451-03-137/2025-03/200113
6 · The paper itself

Abstract

This study evaluated serum and urinary extracellular matrix (ECM)-related biomarkers in pediatric patients with vesicoureteral reflux (VUR) and their association with disease severity and renal scarring. Children with VUR and control subjects were included. Serum and urinary concentrations of matrix metalloproteinase-9 (MMP-9), tissue inhibitor of metalloproteinases-1 (TIMP-1), CD147, transforming growth factor-β (TGF-β), and monocyte chemoattractant protein-1 (MCP-1) were analyzed, with urinary values normalized to creatinine. Serum MCP-1 levels were higher in patients with VUR (

Indexed as

CicatrixExtracellular MatrixInflammationVesico-Ureteral RefluxBasiginBiomarkersChemokine CCL2ChildChild, PreschoolFemaleHumansInfantMaleMatrix Metalloproteinase 9Tissue Inhibitor of Metalloproteinase-1Transforming Growth Factor betaBasiginBiomarkersCCL2 protein, humanChemokine CCL2Matrix Metalloproteinase 9TIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1Transforming Growth Factor betaCD147extracellular matrixMCP-1MMP-9renal scarringTGF-βTIMP-1vesicoureteral reflux

Identifiers

PMID42278348
PMCPMC13257324

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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.