Identification of Multiple Hub Genes in Acute Kidney Injury after Kidney Transplantation by Bioinformatics Analysis

被引:4
作者
Kang, Sang-Wook [1 ]
Kang, Sung-Wook [2 ]
Ban, Ju-Yeon [3 ]
Park, Min-Su [4 ]
机构
[1] Kyung Hee Univ, Sch Dent, Dept Oral & Maxillofacial Pathol, Seoul 02447, South Korea
[2] Louisiana State Univ, Neurosci Ctr Excellence, Sch Med, New Orleans, LA 70112 USA
[3] Dankook Univ, Sch Dent, Dept Dent Pharmacol, Cheonan 31116, South Korea
[4] Kyung Hee Univ, Sch Med, Dept Surg, Seoul 02447, South Korea
来源
MEDICINA-LITHUANIA | 2022年 / 58卷 / 05期
关键词
acute kidney injury; bioinformatics analysis; hub genes; kidney transplantation; pathway; RECIPIENTS;
D O I
10.3390/medicina58050681
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background and Objectives: The molecular mechanisms of the development of acute kidney injury (AKI) after kidney transplantation are not yet clear. The aim of this study was to confirm the genes and mechanisms related to AKI after transplantation. Materials and Methods: To investigate potential genetic targets for AKI, an analysis of the gene expression omnibus database was used to identify key genes and pathways. After identification of differentially expressed genes, Kyoto Encyclopedia of Genes and Genome pathway enrichment analyses were performed. We identified the hub genes and established the protein-protein interaction network. Results: Finally, we identified 137 differentially expressed genes (59 upregulated genes and 16 downregulated genes). AKAP12, AMOT, C3AR1, LY96, PIK3AP1, PLCD4, PLCG2, TENM2, TLR2, and TSPAN5 were filtrated by the hub genes related to the development of post-transplant AKI from the Protein-Protein Interaction (PPI) network. Conclusions: This may provide important evidence of the diagnostic and therapeutic biomarker of AKI.
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页数:8
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共 26 条
  • [1] HLA-DQA1 and APOL1 as Risk Loci for Childhood-Onset Steroid-Sensitive and Steroid-Resistant Nephrotic Syndrome
    Adeyemo, Adebowale
    Esezobor, Christopher
    Solarin, Adaobi
    Abeyagunawardena, Asiri
    Kari, Jameela A.
    El Desoky, Sherif
    Greenbaum, Larry A.
    Kamel, Margret
    Kallash, Mahmoud
    Silva, Cynthia
    Young, Alex
    Hunley, Tracey E.
    de Jesus-Gonzalez, Nilka
    Srivastava, Tarak
    Gbadegesin, Rasheed
    [J]. AMERICAN JOURNAL OF KIDNEY DISEASES, 2018, 71 (03) : 399 - 406
  • [2] Delayed graft function in kidney transplantation
    Bahl, Disha
    Haddad, Zaid
    Datoo, Asma
    Qazi, Yasir A.
    [J]. CURRENT OPINION IN ORGAN TRANSPLANTATION, 2019, 24 (01) : 82 - 86
  • [3] The mRNA landscape profiling reveals potential biomarkers associated with acute kidney injury AKI after kidney transplantation
    Bi, Hui
    Zhang, Min
    Wang, Jialin
    Long, Gang
    [J]. PEERJ, 2020, 8
  • [4] The Effects of Anti-Inflammatory and Anti-Angiogenic DNA Vaccination on Diabetic Nephropathy in Rats
    Celec, Peter
    Hodosy, Julius
    Gardlik, Roman
    Behuliak, Michal
    Palffy, Roland
    Pribula, Marek
    Jani, Peter
    Turna, Jan
    Sebekova, Katarina
    [J]. HUMAN GENE THERAPY, 2012, 23 (02) : 158 - 166
  • [5] Donor Plasma Mitochondrial DNA Is Correlated with Posttransplant Renal Allograft Function
    Han, Fei
    Wan, Shaogui
    Sun, Qipeng
    Chen, Nan
    Li, Heng
    Zheng, Lingling
    Zhang, Nana
    Huang, Zhengyu
    Hong, Liangqing
    Sun, Qiquan
    [J]. TRANSPLANTATION, 2019, 103 (11) : 2347 - 2358
  • [6] Whole exome sequencing identification of a novel insertion mutation in the phospholipase C ε-1 gene in a family with steroid resistant inherited nephrotic syndrome
    Hashmi, Jamil Amjad
    Safar, Ramziah Ahmed
    Afzal, Sibtain
    Albalawi, Alia M.
    Abdu-Samad, Feroz
    Iqbal, Zafar
    Basit, Sulman
    [J]. MOLECULAR MEDICINE REPORTS, 2018, 18 (06) : 5095 - 5100
  • [7] A urinary microRNA panel that is an early predictive biomarker of delayed graft function following kidney transplantation
    Khalid, Usman
    Newbury, Lucy J.
    Simpson, Kate
    Jenkins, Robert H.
    Bowen, Timothy
    Bates, Lucy
    Sheerin, Neil S.
    Chavez, Rafael
    Fraser, Donald J.
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [8] Gene expression profiles for predicting antibody-mediated kidney allograft rejection: Analysis of GEO datasets
    Kim, In-Wha
    Kim, Jae Hyun
    Han, Nayoung
    Kim, Sangsoo
    Kim, Yon Su
    Oh, Jung Mi
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE, 2018, 42 (04) : 2303 - 2311
  • [9] Renal-associated TLR2 mediates ischemia/reperfusion injury in the kidney
    Leemans, JC
    Stokman, G
    Claessen, N
    Rouschop, KM
    Teske, GJD
    Kirschning, CJ
    Akira, S
    van der Poll, T
    Weening, JJ
    Florquin, S
    [J]. JOURNAL OF CLINICAL INVESTIGATION, 2005, 115 (10) : 2894 - 2903
  • [10] Angiomotin promotes renal epithelial and carcinoma cell proliferation by retaining the nuclear YAP
    Lv, Meng
    Li, Shuting
    Luo, Changqin
    Zhang, Xiaoman
    Shen, Yanwei
    Sui, YanXia
    Wang, Fan
    Wang, Xin
    Yang, Jiao
    Liu, Peijun
    Yang, Jin
    [J]. ONCOTARGET, 2016, 7 (11) : 12393 - 12403