ArticleJournal of translational medicine2021
Prediction of steroid resistance and steroid dependence in nephrotic syndrome children.
Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Association Between Macrophage Migration Inhibitory Factor -173 G>C Gene Polymorphism and Childhood Idiopathic Nephrotic Syndrome: A Meta-Analysis.Frontiers in pediatrics · 2021Pooled it
- Machine learning prediction of childhood nephrotic syndrome outcomes.Pediatric nephrology (Berlin, Germany) · 2026Observational
- Prediction Models and Risk Factors for Steroid Resistance in Children with Nephrotic Syndrome: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2026Review
- Epigenetic mechanisms and steroid-resistant nephrotic syndrome: The future potential for SRNS diagnosis.iScience · 2026Review
- Predictive Molecular Biomarkers in Pediatric Steroid-Resistant Nephrotic Syndrome: A Systematic Review.International journal of nephrology and renovascular disease · 2026Review
- CD73 polymorphisms are associated with schizophrenia.Purinergic signalling · 2025Article
- Multiomics Analysis of Plasma Proteomics and Metabolomics of Steroid Resistance in Childhood Nephrotic Syndrome Using a "Patient-Specific" Approach.Kidney international reports · 2023Article
- A back propagation neural network approach to estimate the glomerular filtration rate in an older population.BMC geriatrics · 2023Article
- Epigenetic Mechanisms and Nephrotic Syndrome: A Systematic Review.Biomedicines · 2023Review
- Association of the ADORA2A receptor and CD73 polymorphisms with epilepsy.Frontiers in pharmacology · 2023Article
- Macrophage Migration Inhibitory Factor (MIF) as a Stress Molecule in Renal Inflammation.International journal of molecular sciences · 2022Review
- Genetic Variants of Interleukin-4 in Romanian Patients with Idiopathic Nephrotic Syndrome.Medicina (Kaunas, Lithuania) · 2022Article
- Clinical and Apoptotic Factors Defining and Predicting Steroid Resistance in Nephrotic Syndrome in Children.Global pediatric health · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSteroid resistant (SR) nephrotic syndrome (NS) affects up to 30% of children and is responsible for fast progression to end stage renal disease. Currently there is no early prognostic marker of SR and studied candidate variants and parameters differ highly between distinct ethnic cohorts.
methodsHere, we analyzed 11polymorphic variants, 6 mutations, SOCS3 promoter methylation and biochemical parameters as prognostic markers in a group of 124 Polish NS children (53 steroid resistant, 71 steroid sensitive including 31 steroid dependent) and 55 controls. We used single marker and multiple logistic regression analysis, accompanied by prediction modeling using neural network approach.
resultsWe achieved 92% (AUC = 0.778) SR prediction for binomial and 63% for multinomial calculations, with the strongest predictors ABCB1 rs1922240, rs1045642 and rs2235048, CD73 rs9444348 and rs4431401, serum creatinine and unmethylated SOCS3 promoter region. Next, we achieved 80% (AUC = 0.720) in binomial and 63% in multinomial prediction of SD, with the strongest predictors ABCB1 rs1045642 and rs2235048. Haplotype analysis revealed CD73_AG to be associated with SR while ABCB1_AGT was associated with SR, SD and membranoproliferative pattern of kidney injury regardless the steroid response.
conclusionsWe achieved prediction of steroid resistance and, as a novelty, steroid dependence, based on early markers in NS children. Such predictions, prior to drug administration, could facilitate decision on a proper treatment and avoid diverse effects of high steroid doses.
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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.