应用BITOLA系统筛选腹主动脉瘤与2型糖尿病相互作用的候选基因

祖红林; 侯骊坤; 刘洪伟; 詹渊博; 何菊

doi:10.24920/003711

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应用BITOLA系统筛选腹主动脉瘤与2型糖尿病相互作用的候选基因

中国医学科学杂志（英文版） 2021年36卷第1期页码：50-56

论著 | Updated：2024-04-10

- 应用BITOLA系统筛选腹主动脉瘤与2型糖尿病相互作用的候选基因
- Affiliations：
  
  1. 1Department of Vascular Surgery, Tian Jin First Center Hospital, Tianjin 300192, China
  2. 2Department of Vascular Surgery, 3Department of Periodontology and Oral Mucosa; the Second Affiliated Hospital of Harbin Medical University, Harbin 150001, China
  3. 3Department of Periodontology and Oral Mucosa; the Second Affiliated Hospital of Harbin Medical University, Harbin 150001, China
- Author bio：
  
  * Ju He, E-mail: hejutian@163.com
- Funds：
- DOI：10.24920/003711
  中图分类号：
- 收稿日期：2020-01-08，
  
  录用日期：2020-5-23，
  
  网络出版日期：2021-03-17，
  
  纸质出版日期：2021-03-17
- Accepted：
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祖红林, 侯骊坤, 刘洪伟, 等. 应用BITOLA系统筛选腹主动脉瘤与2型糖尿病相互作用的候选基因[J]. 中国医学科学杂志（英文版）, 2021,36(1):50-56.

Zu Honglin, Hou Likun, Liu Hongwei, et al. Identify Candidate Genes in the Interaction between Abdominal Aortic Aneurysm and Type 2 Diabetes Mellitus by Using Biomedical Discovery Support System[J]. Chinese medical sciences journal, 2021, 36(1): 50-56.
祖红林, 侯骊坤, 刘洪伟, 等. 应用BITOLA系统筛选腹主动脉瘤与2型糖尿病相互作用的候选基因[J]. 中国医学科学杂志（英文版）, 2021,36(1):50-56. DOI： 10.24920/003711.

Zu Honglin, Hou Likun, Liu Hongwei, et al. Identify Candidate Genes in the Interaction between Abdominal Aortic Aneurysm and Type 2 Diabetes Mellitus by Using Biomedical Discovery Support System[J]. Chinese medical sciences journal, 2021, 36(1): 50-56. DOI： 10.24920/003711.

摘要

目的

应用生物信息学方法识别并挖掘腹主动脉瘤和糖尿病相互作用的候选基因。

方法

采用封闭的生物医学发现支持系统（Biomedical Discovery Support System

BITOLA）

筛选与腹主动脉瘤和糖尿病有关的“基因或基因产物”作为候选中间分子（candidate intermediate molecules

CIMs）。通过GSE13760

GSE7084

GSE57691

GSE47472数据集筛选分别与腹主动脉瘤和糖尿病发病相关的差异表达基因（differentially expressed genes

DEGs）。然后

我们通过Venny2.1在线工具

辅以人工阅读文献

筛选出与CIMs重合的差异性表达基因。最后

应用基因表达人体电子荧光可视化浏览器（Human eFP Browser）观测所筛选出的基因的组织特异性表达

确定在动脉和胰腺组织均高表达的候选基因。

结果

应用封闭的生物医学发现支持系统筛选出86个CIMs。在GSE13760

GSE7084

GSE57691

GSE47472数据集与腹主动脉瘤和糖尿病相关的差异表达基因中

我们发现GSE7084数据集中的8个基因（ISG20

ITGAX

DSTN

CCL5

CCR5

AGTR1

CD19

CD44）和GSE13760数据集中的2个基因（PSMD12

FAS）与86个CIMs交叉重叠。通过电子荧光可视化人体基因表达象形图进行组织特异性验证发现

基因PSMD12在主动脉和胰腺组织中均有高表达。

结论

通过生物信息文本挖掘技术我们提出假说

PSMD12可能参与腹主动脉瘤与糖尿病的相互作用

这可能成为研究这两种疾病新型治疗手段的新线索。

Abstract

Objective

To explore the candidate genes that play significant roles in the interconnection between abdominal aortic aneurysm (AAA) and type 2 diabetes mellitus (DM).

Methods

We used the Biomedical Discovery Support System (BITOLA) to screen out the candidate intermediate molecular (CIM) “Gene or Gene Product” that are related to AAA and DM. The dataset of GSE13760

GSE7084

GSE57691

GSE47472 were used to analyze the differentially expressed genes (DEGs) of AAA and DM compared to the healthy status. We used the online tool of Venny 2.1 assisted by manual checking to identify the overlapped DEGs with the CIMs. The Human eFP Browser was applied to examine the tissue specific expression levels of the detected genes in order to recognize strong expressed genes in both human artery and pancreatic tissue.

Results

There were 86 CIMs suggested by the closed BITOLA system. Among all the DEGs of AAA and DM

8 genes in GSE7084 (ISG20

ITGAX

DSTN

CCL5

CCR5

AGTR1

CD19

CD44) and 2 genes in GSE13760 (PSMD12

FAS) were found to be overlapped with the 86 CIMs. By manual checking and comparing with tissue-specific gene data through Human eFP Browser

the gene PSMD12 (proteasome 26S subunit

non-ATPase 12) was recognized to be strongly expressed in both the aorta and pancreatic tissue.

Conclusion

We proposed a hypothesis through text mining that PSMD12 might be involved or potentially involved in the interconnection between AAA and DM

which may provide a new clue for studies on novel therapeutic strategies for the two diseases.

关键词

Keywords

references

Guirguis-Blake JM , Beil TL , Senger CA , et al . Primary care screening for abdominal aortic aneurysm: updated evidence report and systematic review for the US Preventive Services Task Force . JAMA 2019 ; 322 ( 22 ): 2219 - 38 . doi: 10.1001/jama.2019.17021 1001-9294-36-1-50/jama.2019.17021 . DOI: 10.1001/jama.2019.17021 http://doi.org/10.1001/jama.2019.17021 https://www.ncbi.nlm.nih.gov/pubmed/31821436 https://www.ncbi.nlm.nih.gov/pubmed/31821436

Bird AN , Davis AM . Screening for abdominal aortic aneurysm . JAMA 2015 ; 313 ( 11 ): 1156 - 7 . doi: 10.1001/jama.2015.0996 1001-9294-36-1-50/jama.2015.0996 . DOI: 10.1001/jama.2015.0996 http://doi.org/10.1001/jama.2015.0996 https://www.ncbi.nlm.nih.gov/pubmed/25781445 https://www.ncbi.nlm.nih.gov/pubmed/25781445

Gloviczki P , Lawrence PF , Forbes TL . Update of the Society for Vascular Surgery abdominal aortic aneurysm guidelines . J Vasc Surg 2018 ; 67 ( 1 ): 1 . doi: 10.1016/j.jvs.2017.11.022 1001-9294-36-1-50/j.jvs.2017.11.022 . DOI: 10.1016/j.jvs.2017.11.022 http://doi.org/10.1016/j.jvs.2017.11.022 https://www.ncbi.nlm.nih.gov/pubmed/29268911 https://www.ncbi.nlm.nih.gov/pubmed/29268911

Jalalzadeh H , Indrakusuma R , Planken RN , et al . Inflammation as a predictor of abdominal aortic aneurysm growth and rupture: a systematic review of imaging biomarkers . Eur J Vasc Endovasc Surg 2016 ; 52 ( 3 ): 333 - 42 . doi: 10.1016/j.ejvs.2016.05.002 1001-9294-36-1-50/j.ejvs.2016.05.002 . DOI: 10.1016/j.ejvs.2016.05.002 http://doi.org/10.1016/j.ejvs.2016.05.002 https://www.ncbi.nlm.nih.gov/pubmed/27283346 https://www.ncbi.nlm.nih.gov/pubmed/27283346

Wanhainen A , Verzini F , Van Herzeele I , et al . Editor’s Choice - European Society for Vascular Surgery (ESVS) 2019 clinical practice guidelines on the management of abdominal aorto-iliac artery aneurysms . Eur J Vasc Endovasc Surg 2019 ; 57 ( 1 ): 8 - 93 . doi: 10.1016/j.ejvs.2018.09.020 1001-9294-36-1-50/j.ejvs.2018.09.020 . DOI: 10.1016/j.ejvs.2018.09.020 http://doi.org/10.1016/j.ejvs.2018.09.020 https://www.ncbi.nlm.nih.gov/pubmed/30528142 https://www.ncbi.nlm.nih.gov/pubmed/30528142

Liu X , Li Y , Li L , et al . Prevalence, awareness, treatment, control of type 2 diabetes mellitus and risk factors in Chinese rural population: the Rural Diab study . Sci Rep 2016 ; 6 : 31426 . doi: 10.1038/srep31426 1001-9294-36-1-50/srep31426 . DOI: 10.1038/srep31426 http://doi.org/10.1038/srep31426 https://www.ncbi.nlm.nih.gov/pubmed/27510966 https://www.ncbi.nlm.nih.gov/pubmed/27510966

Yang L , Shao J , Bian Y , et al . Prevalence of type 2 diabetes mellitus among inland residents in China (2000-2014): a meta-analysis . J Diabetes Investig 2016 ; 7 ( 6 ): 845 - 52 . doi: 10.1111/jdi.12514 1001-9294-36-1-50/jdi.12514 . DOI: 10.1111/jdi.12514 http://doi.org/10.1111/jdi.12514 https://www.ncbi.nlm.nih.gov/pubmed/27181391 https://www.ncbi.nlm.nih.gov/pubmed/27181391

Abid A , Ahmad S , Waheed A . Screening for type II diabetes mellitus in the United States: the present and the future . Clin Med Insights Endocrinol Diabetes 2016 ; 9 : 19 - 22 . doi: 10.4137/CMED.S38247 1001-9294-36-1-50/CMED.S38247 . DOI: 10.4137/CMED.S38247 http://doi.org/10.4137/CMED.S38247 https://www.ncbi.nlm.nih.gov/pubmed/27330335 https://www.ncbi.nlm.nih.gov/pubmed/27330335

Scirica BM . Use of biomarkers in predicting the onset, monitoring the progression, and risk stratification for patients with type 2 diabetes mellitus . Clin Chem 2017 ; 63 ( 1 ): 186 - 95 . doi: 10.1373/clinchem.2016.255539 1001-9294-36-1-50/clinchem.2016.255539 . DOI: 10.1373/clinchem.2016.255539 http://doi.org/10.1373/clinchem.2016.255539 https://www.ncbi.nlm.nih.gov/pubmed/28062618 https://www.ncbi.nlm.nih.gov/pubmed/28062618

He M , Gao J , Liu W , et al . Case management of patients with Type 2 diabetes mellitus: a cross-sectional survey in Chongqing, China . BMC Health Serv Res 2017 ; 17 ( 1 ): 129 . doi: 10.1186/s12913-017-2039-0 1001-9294-36-1-50/s12913-017-2039-0 . DOI: 10.1186/s12913-017-2039-0 http://doi.org/10.1186/s12913-017-2039-0 https://www.ncbi.nlm.nih.gov/pubmed/28187724 https://www.ncbi.nlm.nih.gov/pubmed/28187724

Tsai CL , Lin CL , Wu YY , et al . Advanced complicated diabetes mellitus is associated with a reduced risk of thoracic and abdominal aortic aneurysm rupture: a population-based cohort study . Diabetes Metab Res Rev 2015 ; 31 ( 2 ): 190 - 7 . doi: 10.1002/dmrr.2585 1001-9294-36-1-50/dmrr.2585 . DOI: 10.1002/dmrr.2585 http://doi.org/10.1002/dmrr.2585 https://www.ncbi.nlm.nih.gov/pubmed/25066630 https://www.ncbi.nlm.nih.gov/pubmed/25066630

Xiong J , Wu Z , Chen C , et al . Association between diabetes and prevalence and growth rate of abdominal aortic aneurysms: a meta-analysis . Int J Cardiol 2016 ; 221 : 484 - 95 . doi: 10.1016/j.ijcard.2016.07.016 1001-9294-36-1-50/j.ijcard.2016.07.016 . DOI: 10.1016/j.ijcard.2016.07.016 http://doi.org/10.1016/j.ijcard.2016.07.016 https://www.ncbi.nlm.nih.gov/pubmed/27414727 https://www.ncbi.nlm.nih.gov/pubmed/27414727

Pafili K , Gouni-Berthold I , Papanas N , et al . Abdominal aortic aneurysms and diabetes mellitus . J Diabetes Complications 2015 ; 29 ( 8 ): 1330 - 6 . doi: 10.1016/j.jdiacomp.2015.08.011 1001-9294-36-1-50/j.jdiacomp.2015.08.011 . DOI: 10.1016/j.jdiacomp.2015.08.011 http://doi.org/10.1016/j.jdiacomp.2015.08.011 https://www.ncbi.nlm.nih.gov/pubmed/26440573 https://www.ncbi.nlm.nih.gov/pubmed/26440573

Cohen T , Widdows D , Stephan C , et al . Predicting high-throughput screening results with scalable literature-based discovery methods . CPT Pharmacometrics Syst Pharmacol 2014 ; 3 ( 10 ): e140 . doi: 10.1038/psp.2014.37 1001-9294-36-1-50/psp.2014.37 .

Preiss J , Stevenson M . The effect of word sense disambiguation accuracy on literature based discovery . BMC Med Inform Decis Mak 2016 ; 16 ( Suppl 1 ): 57 . doi: 10.1186/s12911-016-0296-1 1001-9294-36-1-50/s12911-016-0296-1 . DOI: 10.1186/s12911-016-0296-1 http://doi.org/10.1186/s12911-016-0296-1 http://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-016-0296-1 http://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-016-0296-1

Hristovski D , Kastrin A , Dinevski D , et al . Using literature-based discovery to explain adverse drug effects . J Med Syst 2016 ; 40 ( 8 ): 185 . doi: 10.1007/s10916-016-0544-z 1001-9294-36-1-50/s10916-016-0544-z . DOI: 10.1007/s10916-016-0544-z http://doi.org/10.1007/s10916-016-0544-z https://www.ncbi.nlm.nih.gov/pubmed/27318993 https://www.ncbi.nlm.nih.gov/pubmed/27318993

Hristovski D , Kastrin A , Dinevski D , et al . Constructing a graph database for semantic literature-based discovery . Stud Health Technol Inform 2015 ; 216 : 1094 . https://www.ncbi.nlm.nih.gov/pubmed/26262393 https://www.ncbi.nlm.nih.gov/pubmed/26262393

Swanson DR . Fish oil, Raynaud’s syndrome, and undiscovered public knowledge . Perspect Biol Med 1986 ; 30 ( 1 ): 7 - 18 . doi: 10.1353/pbm.1986.0087 1001-9294-36-1-50/pbm.1986.0087 . DOI: 10.1353/pbm.1986.0087 http://doi.org/10.1353/pbm.1986.0087 https://www.ncbi.nlm.nih.gov/pubmed/3797213 https://www.ncbi.nlm.nih.gov/pubmed/3797213

Petric I , Urbancic T , Cestnik B , et al . Literature mining method RaJoLink for uncovering relations between biomedical concepts . J Biomed Inform 2009 ; 42 ( 2 ): 219 - 27 . doi: 10.1016/j.jbi.2008.08.004 1001-9294-36-1-50/j.jbi.2008.08.004 . DOI: 10.1016/j.jbi.2008.08.004 http://doi.org/10.1016/j.jbi.2008.08.004 http://www.sciencedirect.com/science/article/pii/S1532046408001044 http://www.sciencedirect.com/science/article/pii/S1532046408001044

Kostoff RN . Validating discovery in literature-based discovery . J Biomed Inform 2007 ; 40 ( 4 ): 448 - 52 . doi: 10.1016/j.jbi.2007.05.001 1001-9294-36-1-50/j.jbi.2007.05.001 . DOI: 10.1016/j.jbi.2007.05.001 http://doi.org/10.1016/j.jbi.2007.05.001 https://www.ncbi.nlm.nih.gov/pubmed/17616484 https://www.ncbi.nlm.nih.gov/pubmed/17616484

Weeber M , Kors JA , Mons B . Online tools to support literature-based discovery in the life sciences . Brief Bioinform 2005 ; 6 ( 3 ): 277 - 86 . doi: 10.1093/bib/6.3.277 1001-9294-36-1-50/bib/6.3.277 . DOI: 10.1093/bib/6.3.277 http://doi.org/10.1093/bib/6.3.277 https://www.ncbi.nlm.nih.gov/pubmed/16212775 https://www.ncbi.nlm.nih.gov/pubmed/16212775

Srinivasan M , Blackburn C , Mohamed M , et al . Literature-based discovery of salivary biomarkers for type 2 diabetes mellitus . Biomark Insights 2015 ; 10 : 39 - 45 . doi: 10.4137/BMI.S22177 1001-9294-36-1-50/BMI.S22177 . DOI: 10.4137/BMI.S22177 http://doi.org/10.4137/BMI.S22177 https://www.ncbi.nlm.nih.gov/pubmed/26005324 https://www.ncbi.nlm.nih.gov/pubmed/26005324

Ahlers CB , Hristovski D , Kilicoglu H , et al . Using the literature-based discovery paradigm to investigate drug mechanisms . AMIA Annu Symp Proc 2007 ; 2007 : 6 - 10 .

Hristovski D , Peterlin B , Mitchell JA , et al . Using literature-based discovery to identify disease candidate genes . Int J Med Inform 2005 ; 74 ( 2-4 ): 289 - 98 . doi: 10.1016/j.ijmedinf.2004.04.024 1001-9294-36-1-50/j.ijmedinf.2004.04.024 . DOI: 10.1016/j.ijmedinf.2004.04.024 http://doi.org/10.1016/j.ijmedinf.2004.04.024 https://www.ncbi.nlm.nih.gov/pubmed/15694635 https://www.ncbi.nlm.nih.gov/pubmed/15694635

Saratzis N , Saratzis A , Melas N , et al . Aortoduodenal fistulas after endovascular stent-graft repair of abdominal aortic aneurysms: single-center experience and review of the literature . J Endovasc Ther 2008 ; 15 ( 4 ): 441 - 8 . doi: 10.1583/08-2377.1 1001-9294-36-1-50/08-2377.1 . DOI: 10.1583/08-2377.1 http://doi.org/10.1583/08-2377.1 https://www.ncbi.nlm.nih.gov/pubmed/18729556 https://www.ncbi.nlm.nih.gov/pubmed/18729556

Indrakusuma R , Jalalzadeh H , Planken RN , et al . Biomechanical imaging markers as predictors of abdominal aortic aneurysm growth or rupture: a systematic review . Eur J Vasc Endovasc Surg 2016 ; 52 ( 4 ): 475 - 86 . doi: 10.1016/j.ejvs.2016.07.003 1001-9294-36-1-50/j.ejvs.2016.07.003 . DOI: 10.1016/j.ejvs.2016.07.003 http://doi.org/10.1016/j.ejvs.2016.07.003 https://www.ncbi.nlm.nih.gov/pubmed/27558090 https://www.ncbi.nlm.nih.gov/pubmed/27558090

Skov V , Knudsen S , Olesen M , et al . Global gene expression profiling displays a network of dysregulated genes in non-atherosclerotic arterial tissue from patients with type 2 diabetes . Cardiovasc Diabetol 2012 ; 11 : 15 . doi: 10.1186/1475-2840-11-15 1001-9294-36-1-50/1475-2840-11-15 . DOI: 10.1186/1475-2840-11-15 http://doi.org/10.1186/1475-2840-11-15 https://www.ncbi.nlm.nih.gov/pubmed/22340758 https://www.ncbi.nlm.nih.gov/pubmed/22340758

Lenk GM , Tromp G , Weinsheimer S , et al . Whole genome expression profiling reveals a significant role for immune function in human abdominal aortic aneurysms . BMC Genomics 2007 ; 8 : 237 . doi: 10.1186/1471-2164-8-237 1001-9294-36-1-50/1471-2164-8-237 . DOI: 10.1186/1471-2164-8-237 http://doi.org/10.1186/1471-2164-8-237 https://www.ncbi.nlm.nih.gov/pubmed/17634102 https://www.ncbi.nlm.nih.gov/pubmed/17634102

Biros E , Gäbel G , Moran CS , et al . Differential gene expression in human abdominal aortic aneurysm and aortic occlusive disease . Oncotarget 2015 ; 6 ( 15 ): 12984 - 96 . doi: 10.18632/oncotarget.3848 1001-9294-36-1-50/oncotarget.3848 . DOI: 10.18632/oncotarget.3848 http://doi.org/10.18632/oncotarget.3848 https://www.ncbi.nlm.nih.gov/pubmed/25944698 https://www.ncbi.nlm.nih.gov/pubmed/25944698

Biros E , Moran CS , Rush CM , et al . Differential gene expression in the proximal neck of human abdominal aortic aneurysm . Atherosclerosis 2014 ; 233 ( 1 ): 211 - 8 . doi: 10.1016/j.atherosclerosis.2013.12.017 1001-9294-36-1-50/j.atherosclerosis.2013.12.017 . DOI: 10.1016/j.atherosclerosis.2013.12.017 http://doi.org/10.1016/j.atherosclerosis.2013.12.017 http://dx.doi.org/10.1016/j.atherosclerosis.2013.12.017 http://dx.doi.org/10.1016/j.atherosclerosis.2013.12.017

Ma XD , Chen ZA , Zheng JP . Phenotypic modulation of vascular smooth muscle cells in diabetes mellitus and intervention of traditional Chinese medicines . Zhongguo Zhong Yao Za Zhi 2014 ; 39 ( 24 ): 4723 - 7 . https://www.ncbi.nlm.nih.gov/pubmed/25898567 https://www.ncbi.nlm.nih.gov/pubmed/25898567

De Rango P , Farchioni L , Fiorucci B , et al . Diabetes and abdominal aortic aneurysms . Eur J Vasc Endovasc Surg 2014 ; 47 ( 3 ): 243 - 61 . doi: 10.1016/j.ejvs.2013.12.007 1001-9294-36-1-50/j.ejvs.2013.12.007 . DOI: 10.1016/j.ejvs.2013.12.007 http://doi.org/10.1016/j.ejvs.2013.12.007 https://www.ncbi.nlm.nih.gov/pubmed/24447529 https://www.ncbi.nlm.nih.gov/pubmed/24447529

Weiss JS , Sumpio BE . Review of prevalence and outcome of vascular disease in patients with diabetes mellitus . Eur J Vasc Endovasc Surg 2006 ; 31 ( 2 ): 143 - 50 . doi: 10.1016/j.ejvs.2005.08.015 1001-9294-36-1-50/j.ejvs.2005.08.015 . DOI: 10.1016/j.ejvs.2005.08.015 http://doi.org/10.1016/j.ejvs.2005.08.015 https://www.ncbi.nlm.nih.gov/pubmed/16203161 https://www.ncbi.nlm.nih.gov/pubmed/16203161

Miller CM , Rindflesch TC , Fiszman M , et al . A closed literature-based discovery technique finds a mechanistic link between hypogonadism and diminished sleep quality in aging men . Sleep 2012 ; 35 ( 2 ): 279 - 85 . doi: 10.5665/sleep.1640 1001-9294-36-1-50/sleep.1640 . DOI: 10.5665/sleep.1640 http://doi.org/10.5665/sleep.1640 https://www.ncbi.nlm.nih.gov/pubmed/22294819 https://www.ncbi.nlm.nih.gov/pubmed/22294819

Yen HC , Espiritu C , Chang EC . Rpn5 is a conserved proteasome subunit and required for proper proteasome localization and assembly . J Biol Chem 2003 ; 278 ( 33 ): 30669 - 76 . doi: 10.1074/jbc.M302093200 1001-9294-36-1-50/jbc.M302093200 . DOI: 10.1074/jbc.M302093200 http://doi.org/10.1074/jbc.M302093200 https://www.ncbi.nlm.nih.gov/pubmed/12783882 https://www.ncbi.nlm.nih.gov/pubmed/12783882

Kumar S , Jang IH , Kim CW , et al . Functional screening of mammalian mechanosensitive genes using Drosophila RNAi library- Smarcd3/Bap60 is a mechanosensitive pro-inflammatory gene . Sci Rep 2016 ; 6 : 36461 . doi: 10.1038/srep36461 1001-9294-36-1-50/srep36461 . DOI: 10.1038/srep36461 http://doi.org/10.1038/srep36461 https://www.ncbi.nlm.nih.gov/pubmed/27819340 https://www.ncbi.nlm.nih.gov/pubmed/27819340

Mi T , Nie B , Zhang C , et al . The elevated expression of osteopontin and NF-κB in human aortic aneurysms and its implication . J Huazhong Univ Sci Technolog Med Sci 2011 ; 31 ( 5 ): 602 . doi: 10.1007/s11596-011-0568-z 1001-9294-36-1-50/s11596-011-0568-z . DOI: 10.1007/s11596-011-0568-z http://doi.org/10.1007/s11596-011-0568-z https://www.ncbi.nlm.nih.gov/pubmed/22038347 https://www.ncbi.nlm.nih.gov/pubmed/22038347

Saito T , Hasegawa Y , Ishigaki Y , et al . Importance of endothelial NF-κB signalling in vascular remodelling and aortic aneurysm formation . Cardiovasc Res 2013 ; 97 ( 1 ): 106 - 14 . doi: 10.1093/cvr/cvs298 1001-9294-36-1-50/cvr/cvs298 . DOI: 10.1093/cvr/cvs298 http://doi.org/10.1093/cvr/cvs298 http://dx.doi.org/10.1093/cvr/cvs298 http://dx.doi.org/10.1093/cvr/cvs298

Casella S , Bielli A , Mauriello A , et al . Molecular pathways regulating macrovascular pathology and vascular smooth muscle cells phenotype in type 2 diabetes . Int J Mol Sci 2015 ; 16 ( 10 ): 24353 - 68 . doi: 10.3390/ijms161024353 1001-9294-36-1-50/ijms161024353 . DOI: 10.3390/ijms161024353 http://doi.org/10.3390/ijms161024353 https://www.ncbi.nlm.nih.gov/pubmed/26473856 https://www.ncbi.nlm.nih.gov/pubmed/26473856

Yen HC , Gordon C , Chang EC . Schizosaccharomyces pombe Int6 and Ras homologs regulate cell division and mitotic fidelity via the proteasome . Cell 2003 ; 112 ( 2 ): 207 - 17 . doi: 10.1016/s0092-8674(03)00043-6 1001-9294-36-1-50/s0092-8674(03)00043-6 . DOI: 10.1016/s0092-8674(03)00043-6 http://doi.org/10.1016/s0092-8674(03)00043-6 https://www.ncbi.nlm.nih.gov/pubmed/12553909 https://www.ncbi.nlm.nih.gov/pubmed/12553909

Livneh I , Cohen-Kaplan V , Cohen-Rosenzweig C , et al . The life cycle of the 26S proteasome: from birth, through regulation and function, and onto its death . Cell Res 2016 ; 26 ( 8 ): 869 - 85 . doi: 10.1038/cr.2016.86 1001-9294-36-1-50/cr.2016.86 . DOI: 10.1038/cr.2016.86 http://doi.org/10.1038/cr.2016.86 https://www.ncbi.nlm.nih.gov/pubmed/27444871 https://www.ncbi.nlm.nih.gov/pubmed/27444871

Barac YD , Emrich F , Krutzwakd-Josefson E , et al . The ubiquitin-proteasome system: A potential therapeutic target for heart failure . J Heart Lung Transplant 2017 ; 36 ( 7 ): 708 - 14 . doi: 10.1016/j.healun.2017.02.012 1001-9294-36-1-50/j.healun.2017.02.012 . DOI: 10.1016/j.healun.2017.02.012 http://doi.org/10.1016/j.healun.2017.02.012 https://www.ncbi.nlm.nih.gov/pubmed/28341100 https://www.ncbi.nlm.nih.gov/pubmed/28341100

Bugliani M , Liechti R , Cheon H , et al . Microarray analysis of isolated human islet transcriptome in type 2 diabetes and the role of the ubiquitin-proteasome system in pancreatic beta cell dysfunction . Mol Cell Endocrinol 2013 ; 367 ( 1-2 ): 1 - 10 . doi: 10.1016/j.mce.2012.12.001 1001-9294-36-1-50/j.mce.2012.12.001 . DOI: 10.1016/j.mce.2012.12.001 http://doi.org/10.1016/j.mce.2012.12.001 https://www.ncbi.nlm.nih.gov/pubmed/23246353 https://www.ncbi.nlm.nih.gov/pubmed/23246353

Fan T , Huang Z , Chen L , et al . Associations between autophagy, the ubiquitin-proteasome system and endoplasmic reticulum stress in hypoxia-deoxygenation or ischemia-reperfusion . Eur J Pharmacol 2016 ; 791 : 157 - 67 . doi: 10.1016/j.ejphar.2016.08.026 1001-9294-36-1-50/j.ejphar.2016.08.026 . DOI: 10.1016/j.ejphar.2016.08.026 http://doi.org/10.1016/j.ejphar.2016.08.026 https://www.ncbi.nlm.nih.gov/pubmed/27568838 https://www.ncbi.nlm.nih.gov/pubmed/27568838

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