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Abstract: TH-PO890

A Comprehensive Bioinformatics Analysis Reveals the Pivotal Role of Tubulopathy in Diabetic Nephropathy

Session Information

Category: Diabetic Kidney Disease

  • 601 Diabetic Kidney Disease: Basic

Authors

  • Zhou, Leting, Wuxi People’s Hospital affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
  • Liu, Xiaobin, Wuxi People’s Hospital affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
  • Zhang, Zhijian, Wuxi People’s Hospital affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
  • Zhang, Xiran, Wuxi People’s Hospital affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
  • Xue, Jing, Wuxi People’s Hospital affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
  • Liu, Bin, Wuxi People’s Hospital affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
  • Wang, Liang, Wuxi People’s Hospital affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
  • Sun, Zhuxing, Wuxi People’s Hospital affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
Background

Diabetic nephropathy(DN) is one of the main causes of ESKD worldwide. However, there is still a lack of a comprehensive understanding of the unique molecular mechanism of DN.

Methods

Over 250 Affymetrix microarray datasets of human glomerular and tubulointerstitial tissues were collected (Table 1) . Next, a linear model was constructed, and the empirical Bayes method was used to select the unique differentially expressed genes (DEGs) of DN. The DEGs were further analyzed using the enrichment analysis. Finally, the protein-protein interaction networks(PINs) with established physical interaction were constructed, and based on the networks, hub genes were selected.

Results

A total of 980 unique DEGs were identified. Enrichment analysis revealed that a wide arrange of pathways are dysregulated in the pathogenesis of DN. Notably, the upregulated DEGs of tubulointerstitial compartment are mainly enriched in pathways related to glycosylation and immune responses, while the downregulated DEGs are strongly related to metabolism disorders(Figure 1) . Moreover, a complex interaction network were found among the DEGs of tubulointerstitial compartment. Lastly, a list of genes, including EGFR, SUZ12 and TERF1, were identified as hub genes.

Conclusion

This bioinformatic analysis suggests that tubulopathy might play a pivotal role in the pathogenesis of DN.

Table 1
 Number of casesNumber of controlsResourcesPlatforms
DN Glomeruli718GSE37463, GSE47185Affymetrix U133 Plus 2.0
DN Tubules1122GSE35489, GSE47185Affymetrix U133 A
HN Glomeruli1522GSE47185, GSE37463 Affymetrix U133 A
HN Tubules2122GSE47185, GSE37463Affymetrix U133 A
IgAN Glomeruli4322GSE37463,GSE21785, GSE20602Affymetrix U133 A
IgAN Tubules2522GSE35489, GSE47185Affymetrix U133 A
MN Glomeruli1822GSE47185, GSE37463,GSE21785, GSE20602Affymetrix U133 A
MN Tubules1822GSE35489, GSE47185Affymetrix U133 A
FSGS Glomeruli2340GSE37463, GSE47185, GSE20602, GSE21785Affymetrix U133 A
Affymetrix U133 Plus 2.0
FSGS Tubules1222GSE35489, GSE47185Affymetrix U133 A

Funding

  • Government Support - Non-U.S.