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Towards Understanding the Role of the Glycosylation of Proteins Present in Extracellular Vesicles in Urinary Tract Diseases: Contributions to Cancer and Beyond.

• Authors : Wilczak, Magdalena; Surman, Magdalena; Przybyło, Małgorzata

Subjects: BODY fluids; EXTRACELLULAR vesicles; RENAL cancer

• Source: Molecules; Nov2024, Vol. 29 Issue 22, p5241, 24p

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Agricola

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Agricola

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Proteomic approaches in kidney disease biomarker discovery.

• Authors : Qi Wu; Fenton, Robert A.

• Source: American Journal of Physiology: Renal Physiology; Dec2018, Vol. 315 Issue 6, pF1817-F1821, 5p, 1 Diagram, 1 Chart

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Studies on bacteriological and biochemical tests of urinary tract infections in some Iraqi patients undergoing hemodialysis due to renal failure and chronic kidney diseases.

• Authors : Taghreed khudhur Mohammad; Haider Qasim Hamood; Salwa Hameed Naser

Subjects: BACTERIOLOGY; URINARY tract infections; HEMODIALYSIS

• Source: Iraqi National Journal Of Chemistry; 2018, Vol. 18 Issue 3, p133-145, 13p

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Sterile leukocyturia affects urine neutrophil gelatinase-associated lipocalin concentration in type 2 diabetic patients.

• Authors : Gala-Błądzińska, Agnieszka; Żyłka, Agnieszka; Dumnicka, Paulina

Subjects: NEUTROPHILS; GELATINASES; PEOPLE with diabetes

• Source: Archives of Medical Science; Mar2017, Vol. 13 Issue 2, p321-327, 7p

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Integrated miRNA–mRNA Analysis Reveals Critical miRNAs and Targets in Diet-Induced Obesity-Related Glomerulopathy.

• Authors : López-Martínez, Marina; Armengol, Maria Pilar; Pey, Irina

Subjects: OBESITY complications; MICRORNA; GENE expression

• Source: International Journal of Molecular Sciences; Jun2024, Vol. 25 Issue 12, p6437, 21p

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Progress in understanding primary glomerular disease: insights from urinary proteomics and in-depth analyses of potential biomarkers based on bioinformatics.

• Authors : Ge, Lili; Liu, Jianhua; Lin, Baoxu

Subjects: CHRONIC kidney failure; BIOMARKERS; PROTEINS

• Source: Critical Reviews in Clinical Laboratory Sciences; Aug2023, Vol. 60 Issue 5, p346-365, 20p

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Proteomic approaches in kidney disease biomarker discovery

• Authors : Fenton, Robert A.

• Source: American Journal of Physiology - Renal Physiology; December 2018, Vol. 315 Issue: 6 pF1817-F1821, 5p

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Automatic Classification of Particles in the Urine Sediment Test with the Developed Artificial Intelligence-Based Hybrid Model.

• Authors : Yildirim, Muhammed; Bingol, Harun; Cengil, Emine

Subjects: ARTIFICIAL intelligence; AUTOMATIC classification; URINALYSIS

• Source: Diagnostics (2075-4418); Apr2023, Vol. 13 Issue 7, p1299, 16p

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