Evidence map›Paper›PMID 38969871›Full record

ArticleJournal of nephrology2025

MicroRNA and renal fibrosis in autosomal dominant polycystic kidney disease: a longitudinal study.

Silvia Lai, Daniela Mastroluca, Adolfo Marco Perrotta, Maurizio Muscaritoli, Sara Lucciola, Maria Pia Felli, Paolo Izzo, Silverio Rotondi, Sara Izzo, Lida Tartaglione and 6 more

Abstract read
In one paragraph

Article in Journal of nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

16 authors.

Silvia LaiNephrology Unit, Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy. silvia.lai@uniroma1.it.ORCID 0000-0002-7199-2954
Daniela MastrolucaNephrology Unit, Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Adolfo Marco PerrottaNephrology Unit, Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Maurizio MuscaritoliDepartment of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Sara LucciolaDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy.
Maria Pia FelliDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Paolo IzzoPietro Valdoni, Department of Surgery, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Silverio RotondiNephrology Unit, Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Sara IzzoPlastic Surgery Unit, Multidisciplinary Department of Medical-Surgical and Dental Specialties, University of Campania, "Luigi Vanvitelli", Naples, Italy.
Lida TartaglioneNephrology Unit, Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Roberta BelliDepartment of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Cesarina RamacciniDepartment of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.
Luciano IzzoPietro Valdoni, Department of Surgery, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Claudia De IntinisPietro Valdoni, Department of Surgery, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Valeria PanebiancoDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy.
Sandro MazzaferroNephrology Unit, Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutosomal dominant polycystic kidney disease (ADPKD) is a hereditary kidney disorder that may progress to kidney failure, accounting for 5-10% of all patients with end-stage kidney disease (ESKD). Clinical data, as well as molecular genetics and advanced imaging techniques have provided surrogate prognostic biomarkers to predict rapid decline in kidney function, nonetheless enhanced tools for assessing prognosis for ADPKD are still needed. The aim of this study was to analyze specific microRNAs involved in the pathogenesis of ADPKD and in the development of renal fibrosis, evaluating their potential role as predictors of renal function loss.

methodsWe evaluated kidney function by estimated glomerular filtration rate (eGFR) in 32 ADPKD patients in different stages of kidney disease at T0 and after a 24-month follow up (T1). Patients were divided into two groups: Rapid disease progression ([RP], n 15) and Non-rapid disease progression ([NRP], n 17), according to the Mayo Clinic classification criteria. At T0, ADPKD patients underwent plasma sampling for quantitative analysis of h-miR-17-5p, h-miR-21-5p and h-miR-199a-5p microRNA expression, using the quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) method and a 3 T magnetic resonance imaging (MRI), using an advanced MRI imaging protocol, for the quantification of total kidney volume (TKV), total perfusion volume (TPV) and total fibrotic volume (TFV).

resultsThe expression of h-miR17-5p was higher (p < 0.05) in ADPKD patients with rapid disease progression. h-miR-17-5p, h-miR-21-5p and h-mir-199-5p showed a positive and significant correlation with the eGFR slope (mL/min/1.73 m

conclusionsThe microRNAs we studied were associated with fibrosis and renal damage, suggesting their possible role as biomarkers able to identify ADPKD patients at high risk of disease progression regardless of the degree of kidney function, and therefore suitable for medical therapy, and may help uncovering new molecular mechanisms underlying cystogenesis.

Indexed as

KidneyMicroRNAsPolycystic Kidney, Autosomal DominantAdultBiomarkersDisease ProgressionFemaleFibrosisGlomerular Filtration RateHumansLongitudinal StudiesMaleMiddle AgedBiomarkersMicroRNAsMIRN17 microRNA, humanmirn199 microRNA, humanMIRN21 microRNA, humanAutosomal dominant polycystic kidney diseasePlasma aldosteroneSubclinical atherosclerosis parametersTotal fibrotic volume

Identifiers

PMID38969871
PMCPMC11903767

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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.