ArticleKidney international reports2020
Predicting and Defining Steroid Resistance in Pediatric Nephrotic Syndrome Using Plasma Metabolomics.
Article in Kidney international reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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.
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.
Who cites it
24 citing papers in PubMed.
- Trial
- Beyond the Steroid Trial: A Scoping Review of Biomarkers for Pediatric Nephrotic Syndrome.Medical sciences (Basel, Switzerland) · 2026Article
- Prediction Models and Risk Factors for Steroid Resistance in Children with Nephrotic Syndrome: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2026Review
- Predictive Molecular Biomarkers in Pediatric Steroid-Resistant Nephrotic Syndrome: A Systematic Review.International journal of nephrology and renovascular disease · 2026Review
- Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Advances in metabolomics profiling of pediatric kidney diseases: A review.Biomolecules & biomedicine · 2024Review
- The Potential Impact of MYH9 (rs3752462) and ELMO1 (rs741301) Genetic Variants on the Risk of Nephrotic Syndrome Incidence.Biochemical genetics · 2024Article
- Clinical efficacy and metabolomic analysis of ozone major autohemotherapy for the treatment of herpes zoster.Postepy dermatologii i alergologii · 2023Article
- Multiomics Analysis of Plasma Proteomics and Metabolomics of Steroid Resistance in Childhood Nephrotic Syndrome Using a "Patient-Specific" Approach.Kidney international reports · 2023Article
- Machine learning models for predicting steroid-resistant of nephrotic syndrome.Frontiers in immunology · 2023Article
- Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery.International journal of molecular sciences · 2022Article
- Review
- Clinical and Apoptotic Factors Defining and Predicting Steroid Resistance in Nephrotic Syndrome in Children.Global pediatric health · 2022Article
- Pharmacometabolomics by NMR in Oncology: A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2021Review
- Biomarkers in pediatric glomerulonephritis and nephrotic syndrome.Pediatric nephrology (Berlin, Germany) · 2021Review
- Metabolomics analysis of serum in pediatric nephrotic syndrome based on targeted and non-targeted platforms.Metabolomics : Official journal of the Metabolomic Society · 2021Article
- Prediction of steroid resistance and steroid dependence in nephrotic syndrome children.Journal of translational medicine · 2021Article
- Plasma Cytokine Profiling to Predict Steroid Resistance in Pediatric Nephrotic Syndrome.Kidney international reports · 2021Article
- Nuclear receptors in podocyte biology and glomerular disease.Nature reviews. Nephrology · 2021Review
- Sulfatase 2 Is Associated with Steroid Resistance in Childhood Nephrotic Syndrome.Journal of clinical medicine · 2021Article
Corrections and comments
- Commented on by
Authors and funding
9 authors.
Funding
Abstract
introductionNephrotic syndrome (NS) is a kidney disease that affects both children and adults. Glucocorticoids have been the primary therapy for >60 years but are ineffective in approximately 20% of children and approximately 50% of adult patients. Unfortunately, patients with steroid-resistant NS (SRNS; vs. steroid-sensitive NS [SSNS]) are at high risk for both glucocorticoid-induced side effects and disease progression.
methodsWe performed proton nuclear magnetic resonance (
resultsStepwise logistic regression models identified creatinine concentration and glutamine concentration (odds ratio [OR]: 1.01; 95% confidence interval [CI]: 0.99-1.02) as 2 candidate biomarkers predictive of SRNS, and malonate concentration (OR: 0.94; 95% CI: 0.89-1.00) as a third candidate predictive biomarker using a similar model (only in children >3 years). In addition, paired-sample analyses identified several candidate biomarkers with the potential to identify mechanistic molecular pathways/targets that regulate clinical steroid resistance, including lipoproteins, adipate, pyruvate, creatine, glucose, tyrosine, valine, glutamine, and sn-glycero-3-phosphcholine.
conclusionMetabolomic analyses of serial plasma samples from children with SSNS and SRNS identified elevated creatinine and glutamine concentrations, and reduced malonate concentrations, as auspicious candidate biomarkers to predict SRNS at disease onset in pediatric NS, as well as additional candidate biomarkers with the potential to identify mechanistic molecular pathways that may regulate clinical steroid resistance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.