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Palabras clave – provistas por la editorial

chronic kidney disease; cytokines; solitary functioning kidney; tumor necrosis factor-like weak inducer of apoptosis; netrin-1; renal tubular damage; premature newborns; overactive bladder; urinary microbiome; children; adolescents; cystatin C; galectin-3; periostin; primary hypertension; arterial damage; blood pressure; neurogenic bladder; myelomeningocele; markers; furosemide stress test; hyperfiltration; [IGFBP-7] × [TIMP-2]; NGAL; renal angina index; renal functional reserve; tubular damage; tubuloglomerular feedback; neurotrophins; transcutaneous electrical nerve stimulation; hemopexin; nephrotic syndrome; HNF1B; hyperuricemia; PTH; renal function; uric acid; FEUA; sclerostin; obesity; childhood; dental caries; gingivitis; kidney injury; glomerulopathy; glomerular injury; alpha-1 acid glycoprotein; urinary mRNA expression of podocyte-associated proteins; cathepsin B; premature neonates; immaturity; NT-proBNP; cardiovascular disease; common carotid artery intima-media thickness; bone morphogenetic protein (BMP)-2; bone morphogenetic protein (BMP)-6; extracellular matrix metalloproteinases inducer (EMMPRIN); macrophage migration inhibitory factor (MIF); tubular functional reserve; cytokeratin-18; endoglin; transforming growth factor-β1; renal fibrosis; congenital obstructive nephropathy; diabetic kidney disease; vascular endothelial markers; eGFR; adenine nucleotide metabolites; chronic renal failure; antibiotic resistance; Escherichia coli; inflammatory markers; urinary tract infection; B2M; cancer; CCS; CKD; nephropathies; renal toxicity; voiding cystography; infection; urinary tract; IgA nephropathy; IgA vasculitis with nephritis; vanin-1; biomarker; urinary tract infections; artificial intelligence; machine learning; medical decision support system; n/a