400-P: Spatial Metabolomics Analysis by MSI-DeepPath Identifies Key Pathways in ZDF Diabetic Kidney Disease Model

400-P: Spatial Metabolomics Analysis by MSI-DeepPath Identifies Key Pathways in ZDF Diabetic Kidney Disease Model

Background: The Zucker Diabetic Fatty (ZDF) rat is a popular model of type 2 diabetes as it develops pathologic changes in the kidney similar to human diabetic nephropathy. To identify metabolic pathways linked to pathologic features MALDI mass spectrometry imaging (MSI) can be a powerful platform....

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Veröffentlicht in:Diabetes (New York, N.Y.) N.Y.), 2023-06, Vol.72 (Supplement_1), p.1
Hauptverfasser: HEJAZI, LEILA, SHARMA, SHOBA, RUIZ, AARON, ZHANG, GUANSHI, TUCCI, FABIO C., SHARMA, KUMAR
Format: Artikel
Sprache:eng
Schlagworte:
Computer applications
Diabetes
Diabetes mellitus (non-insulin dependent)
Diabetic nephropathy
Galactose
Histidine
Ions
Kidney diseases
Mass spectroscopy
Metabolic pathways
Metabolism
Metabolites
Metabolomics
Nephropathy
Statistical analysis
Threonine
tRNA
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Zusammenfassung:Background: The Zucker Diabetic Fatty (ZDF) rat is a popular model of type 2 diabetes as it develops pathologic changes in the kidney similar to human diabetic nephropathy. To identify metabolic pathways linked to pathologic features MALDI mass spectrometry imaging (MSI) can be a powerful platform. However, quantification of metabolites from MALDI-MSI is very challenging. Our MSI-DeepPath computational platform enables spatial quantitation of metabolites from any tissue section size. Methods: Control and obese ZDF male rats (age 6mo, n=5/group) were studied. Spatial metabolomics analysis of kidney tissue sections was performed using MALDI-MSI at 20 µm resolution. Metabolites were detected at mass accuracy
ISSN:0012-1797
1939-327X
DOI:10.2337/db23-400-P