Literature DB >> 20812764

Analysis of transcriptional factors and regulation networks in patients with acute renal allograft rejection.

Duojiao Wu1, Dong Zhu, Ming Xu, Ruiming Rong, Qunye Tang, Xiangdong Wang, Tongyu Zhu.   

Abstract

Acute rejection (AR) remains a major clinical challenge, leading to the development of chronic renal allograft failure. The aim of the present study was to explore potential transcriptional factors and regulation networks in the disease to predict the occurrence and process of AR and understand potential strategies to prevent from the disease. Three-hundred fifty-two patients with renal failure had kidney transplantation during March 2006 and March 2010, of which 85 suffered from AR. Plasma from 13 patients with kidney transplantation was collected, of which 5 were from patients with AR and 8 from those without AR. Among the 179 proteins identified by using iTRAQ labeling and quantitative proteomic technology, 66 proteins were at least 2-fold different between patients with or without AR. The results demonstrated that the dominant processes and responses were associated with inflammation and complement activation in AR. A number of transcription factors were identified in AR patients, including nuclear factor-κB, signal transducer and activator of transcription 1, signal transducer and activator of transcription 3. The analysis of transcription regulation networks suggested that the cross-talks among these key transcription factors might contribute to the acute response and coagulation pathway. Thus, our study provides a new description and insight into the molecular events in AR and potential strategies for identifying diagnostic biomarkers.

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Year:  2010        PMID: 20812764     DOI: 10.1021/pr100473w

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  11 in total

Review 1.  Proteomics for rejection diagnosis in renal transplant patients: Where are we now?

Authors:  Wilfried Gwinner; Jochen Metzger; Holger Husi; David Marx
Journal:  World J Transplant       Date:  2016-03-24

Review 2.  Genomic and proteomic fingerprints of acute rejection in peripheral blood and urine.

Authors:  Song Ong; Roslyn B Mannon
Journal:  Transplant Rev (Orlando)       Date:  2014-12-10       Impact factor: 3.943

Review 3.  Profiling the proteome in renal transplantation.

Authors:  Tara K Sigdel; Sangho Lee; Minnie M Sarwal
Journal:  Proteomics Clin Appl       Date:  2011-04-26       Impact factor: 3.494

Review 4.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

Review 5.  The Use of Genomics and Pathway Analysis in Our Understanding and Prediction of Clinical Renal Transplant Injury.

Authors:  Madhav C Menon; Karen L Keung; Barbara Murphy; Philip J OʼConnell
Journal:  Transplantation       Date:  2016-07       Impact factor: 4.939

6.  Cancer bioinformatics: a new approach to systems clinical medicine.

Authors:  Duojiao Wu; Catherine M Rice; Xiangdong Wang
Journal:  BMC Bioinformatics       Date:  2012-05-01       Impact factor: 3.169

7.  Hematopoietic stem cell transplantation induces immunologic tolerance in renal transplant patients via modulation of inflammatory and repair processes.

Authors:  Duojiao Wu; Guisheng Qi; Xuanchuan Wang; Ming Xu; Ruiming Rong; Xiangdong Wang; Tongyu Zhu
Journal:  J Transl Med       Date:  2012-08-31       Impact factor: 5.531

Review 8.  Fighting against kidney diseases with small interfering RNA: opportunities and challenges.

Authors:  Cheng Yang; Chao Zhang; Zitong Zhao; Tongyu Zhu; Bin Yang
Journal:  J Transl Med       Date:  2015-02-01       Impact factor: 5.531

Review 9.  Biomarkers in renal transplantation: An updated review.

Authors:  Maurizio Salvadori; Aris Tsalouchos
Journal:  World J Transplant       Date:  2017-06-24

10.  Quantitative iTRAQ LC-MS/MS Proteomics Reveals Transcription Factor Crosstalk and Regulatory Networks in Hypopharyngeal Squamous Cell Carcinoma.

Authors:  Gangcai Zhu; Gengming Cai; Yong Liu; Haolei Tan; Changyun Yu; Meiling Huang; Ming Wei; She Li; Xiangning Cui; Donghai Huang; Yongquan Tian; Xin Zhang
Journal:  J Cancer       Date:  2014-06-16       Impact factor: 4.207

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