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Altered -glycomes of Renal Brush-Border Membrane in Model Rats with Chronic Kidney Diseases

Overview
Journal Biomolecules
Publisher MDPI
Date 2021 Nov 27
PMID 34827558
Citations 3
Authors
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Abstract

Chronic kidney disease (CKD) is defined as a decrease in renal function or glomerular filtration rate (GFR), and proteinuria is often present. Proteinuria increases with age and can be caused by glomerular and/or proximal tubule (PT) alterations. PT cells have an apical brush border membrane (BBM), which is a highly dynamic, organized, and specialized membrane region containing multiple glycoproteins required for its functions including regulating uptake, secretion, and signaling dependent upon the physiologic state. PT disorders contribute to the dysfunction observed in CKD. Many glycoprotein functions have been attributed to their - and -glycans, which are highly regulated and complex. In this study, the -glycans present in rat BBMs from animals with different levels of kidney disease and proteinuria were characterized and analyzed using liquid chromatography tandem mass spectrometry (LC-MS/MS). A principal component analysis (PCA) documented that each group has distinct -glycan distributions. Higher fucosylation levels were observed in the CKD and diabetic groups, which may contribute to PT dysfunction by altering physiologic glycoprotein interactions. Fucosylated -glycans such as 1-1-1-0 exhibited higher abundance in the severe proteinuric groups. These glycomic results revealed that differential -glycan expressions in CKD progressions has the potential to define the mechanism of proteinuria in kidney disease and to identify potential therapeutic interventions.

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References
1.
Moh E, Thaysen-Andersen M, Packer N . Relative versus absolute quantitation in disease glycomics. Proteomics Clin Appl. 2015; 9(3-4):368-82. DOI: 10.1002/prca.201400184. View

2.
Chung A, Dong Y, Yang W, Zhong X, Li R, Lan H . Smad7 suppresses renal fibrosis via altering expression of TGF-β/Smad3-regulated microRNAs. Mol Ther. 2012; 21(2):388-98. PMC: 3594008. DOI: 10.1038/mt.2012.251. View

3.
Armstrong R . When to use the Bonferroni correction. Ophthalmic Physiol Opt. 2014; 34(5):502-8. DOI: 10.1111/opo.12131. View

4.
Yu C, Mayampurath A, Hu Y, Zhou S, Mechref Y, Tang H . Automated annotation and quantification of glycans using liquid chromatography-mass spectrometry. Bioinformatics. 2013; 29(13):1706-7. PMC: 4542666. DOI: 10.1093/bioinformatics/btt190. View

5.
Kudelka M, Ju T, Heimburg-Molinaro J, Cummings R . Simple sugars to complex disease--mucin-type O-glycans in cancer. Adv Cancer Res. 2015; 126:53-135. PMC: 5812724. DOI: 10.1016/bs.acr.2014.11.002. View