Identification of Key Genes of Human Advanced Diabetic Nephropathy Independent of Proteinuria by Transcriptome Analysis
المؤلفون المشاركون
Zhou, Xu-jie
Cai, Fanghao
Jia, Yan
Yao, Weijian
Lv, Jicheng
Liu, Gang
Yang, Li
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-27
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Background.
Diabetic nephropathy (DN) is the leading cause of ESRD.
Emerging evidence indicated that proteinuria may not be the determinant of renal survival in DN.
The aim of the current study was to provide molecular signatures apart from proteinuria in DN by an integrative bioinformatics approach.
Method.
Affymetrix microarray datasets from microdissected glomerular and tubulointerstitial compartments of DN, healthy controls, and proteinuric disease controls including minimal change disease and membranous nephropathy were extracted from open-access database.
Differentially expressed genes (DEGs) in DN versus both healthy and proteinuric controls were identified by limma package, and further defined by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis.
Hub genes were checked by protein-protein interaction networks.
Results.
A total of 566 glomerular and 581 tubulointerstitial DEGs were identified in DN, which were commonly differentially expressed compared to normal controls and proteinuric disease controls.
The upregulated DEGs in both compartments were significantly enriched in GO biological process associated with fibrosis, inflammation, and platelet dysfunction, and largely located in extracellular space, including matrix and extracellular vesicles.
Pathway analysis highlighted immune system regulation.
Hub genes of the upregulated DEGs negatively correlated with estimated glomerular filtration rate (eGFR).
While the downregulated DEGs and their hub genes in tubulointerstitium were enriched in pathways associated with lipid metabolism and oxidation, which positively correlated with eGFR.
Conclusions.
Our study identified pathways including fibrosis, inflammation, lipid metabolism, and oxidative stress contributing to the progression of DN independent of proteinuria.
These genes may serve as biomarkers and therapeutic targets.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cai, Fanghao& Zhou, Xu-jie& Jia, Yan& Yao, Weijian& Lv, Jicheng& Liu, Gang…[et al.]. 2020. Identification of Key Genes of Human Advanced Diabetic Nephropathy Independent of Proteinuria by Transcriptome Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1136725
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cai, Fanghao…[et al.]. Identification of Key Genes of Human Advanced Diabetic Nephropathy Independent of Proteinuria by Transcriptome Analysis. BioMed Research International No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1136725
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cai, Fanghao& Zhou, Xu-jie& Jia, Yan& Yao, Weijian& Lv, Jicheng& Liu, Gang…[et al.]. Identification of Key Genes of Human Advanced Diabetic Nephropathy Independent of Proteinuria by Transcriptome Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1136725
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1136725
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر