Gene expression profile analysis unravelled the systems level association of renal cell carcinoma with diabetic nephropathy and Matrix-metalloproteinase-9 as a potential therapeutic target

被引:2
作者
Rao, Aditya [1 ]
Gollapalli, Pavan [2 ]
Shetty, Nandini Prasad [1 ]
机构
[1] CSIR, Plant Cell Biotechnol Dept, Cent Food Technol Res Inst, Mysore, Karnataka, India
[2] Nitte Deemed Be Univ, Ctr Bioinformat & Biostat, Mangalore, Karnataka, India
关键词
Binding free energy; differentially expressed genes; gene enrichment; glucose reabsorption; network topology analysis; SGLT-2; inhibitors; PROTEIN-INTERACTION NETWORK; MATRIX METALLOPROTEINASES; INSULIN-RESISTANCE; SIGNALING PATHWAY; AMPK; KINASE; GLUCOSE; CANCER; GROWTH; IDENTIFICATION;
D O I
10.1080/07391102.2022.2122567
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Type 2 diabetes (T2D) and cancer share many common risk factors. However, the potential biological link that connects the two at the molecular level is still unclear. The experimental evidence suggests that several genes and their pathways may be involved in developing cancerous conditions associated with diabetes. In this study, we identified the protein-protein interaction (PPI) networks and the hub protein(s) that interlink T2D and cancer using genome-scale differential gene expression profiles. Further, the PPI network of AMP-activated protein kinase (AMPK) in cancer was analyzed to explore novel insights into the molecular association between the two conditions. The densely connected regions were analyzed by constructing the backbone and subnetworks with key nodes and shortest pathways, respectively. The PPI network studies identified Matrix-metalloproteinase-9 (MMP-9) as a hub protein playing a vital role in glomerulonephritis tubular diseases and some genetic kidney diseases. MMP-9 was also associated with different growth factors, like tumor necrosis factor (TNF-alpha), transforming growth factor 1 (TGF-1), and pathways like chemokine signaling, NOD-like receptor signaling, etc. Further, the molecular docking and molecular dynamic simulation studies supported the druggability of MMP-9, suggesting it as a potential therapeutic target in treating renal cell carcinoma linked with diabetic kidney disease. Communicated by Ramaswamy H. Sarma
引用
收藏
页码:7535 / 7550
页数:16
相关论文
共 100 条
[1]  
Abraham Mark James, 2015, SoftwareX, V1-2, P19, DOI [10.1016/j.softx.2015.06.001, 10.1016/j.softx.2015.06.001]
[2]   Dehydroabietylamine, A Diterpene from Carthamus tinctorious L. Showing Antibacterial and Anthelmintic Effects with Computational Evidence [J].
Aditya, R. S. J. ;
Ramesh, C. K. ;
Raghavendra, S. ;
Paramesha, M. .
CURRENT COMPUTER-AIDED DRUG DESIGN, 2020, 16 (03) :231-237
[3]  
Aditya Rao S.J., 2021, RES SQ, DOI [10.21203/rs.3.rs-620117/v1, DOI 10.21203/RS.3.RS-620117/V1]
[4]   A novel insulin receptor-signaling platform and its link to insulin resistance and type 2 diabetes [J].
Alghamdi, Farah ;
Guo, Merry ;
Abdulkhalek, Samar ;
Crawford, Nicola ;
Amith, Schammim Ray ;
Szewczuk, Myron R. .
CELLULAR SIGNALLING, 2014, 26 (06) :1355-1368
[5]  
Am Diabetes Assoc, 2006, DIABETES CARE, V29, pS4
[6]   Computing topological parameters of biological networks [J].
Assenov, Yassen ;
Ramirez, Fidel ;
Schelhorn, Sven-Eric ;
Lengauer, Thomas ;
Albrecht, Mario .
BIOINFORMATICS, 2008, 24 (02) :282-284
[7]   Matrix Metalloproteinase-9 Reduces Islet Amyloid Formation by Degrading Islet Amyloid Polypeptide [J].
Aston-Mourney, Kathryn ;
Zraika, Sakeneh ;
Udayasankar, Jayalakshmi ;
Subramanian, Shoba L. ;
Green, Pattie S. ;
Kahn, Steven E. ;
Hull, Rebecca L. .
JOURNAL OF BIOLOGICAL CHEMISTRY, 2013, 288 (05) :3553-3559
[8]   An automated method for finding molecular complexes in large protein interaction networks [J].
Bader, GD ;
Hogue, CW .
BMC BIOINFORMATICS, 2003, 4 (1)
[9]   Network biology:: Understanding the cell's functional organization [J].
Barabási, AL ;
Oltvai, ZN .
NATURE REVIEWS GENETICS, 2004, 5 (02) :101-U15
[10]   NCBI GEO: archive for functional genomics data sets-update [J].
Barrett, Tanya ;
Wilhite, Stephen E. ;
Ledoux, Pierre ;
Evangelista, Carlos ;
Kim, Irene F. ;
Tomashevsky, Maxim ;
Marshall, Kimberly A. ;
Phillippy, Katherine H. ;
Sherman, Patti M. ;
Holko, Michelle ;
Yefanov, Andrey ;
Lee, Hyeseung ;
Zhang, Naigong ;
Robertson, Cynthia L. ;
Serova, Nadezhda ;
Davis, Sean ;
Soboleva, Alexandra .
NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) :D991-D995