Construction and Validation of Predictive Model to Identify Critical Genes Associated with Advanced Kidney Disease
المؤلفون المشاركون
Zhang, Wenlong
Zhang, Xiaofei
Xin, Guangda
Zhou, Guangyu
المصدر
International Journal of Genomics
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-12
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Background.
Chronic kidney disease (CKD) is characterized by progressive renal function loss, which may finally lead to end-stage renal disease (ESRD).
The study is aimed at identifying crucial genes related to CKD progressive and constructing a disease prediction model to investigate risk factors.
Methods.
GSE97709 and GSE37171 datasets were downloaded from the GEO database including peripheral blood samples from subjects with CKD, ESRD, and healthy controls.
Differential expressed genes (DEGs) were identified and functional enrichment analysis.
Machine learning algorithm-based prediction model was constructed to identify crucial functional feature genes related to ESRD.
Results.
A total of 76 DEGs were screened from CDK vs.
normal samples while 10,114 DEGs were identified from ESRD vs.
CDK samples.
For numerous genes related to ESRD, several GO biological terms and 141 signaling pathways were identified including markedly upregulated olfactory transduction and downregulated platelet activation pathway.
The DEGs were clustering in three modules according to WGCNA access, namely, ME1, ME2, and ME3.
By construction of the XGBoost model and dataset validation, we screened cohorts of genes associated with progressive CKD, such as FZD10, FOXD4, and FAM215A.
FZD10 represented the highest score (F score = 21) in predictive model.
Conclusion.
Our results demonstrated that FZD10, FOXD4, PPP3R1, and UCP2 might be critical genes in CKD progression.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xin, Guangda& Zhou, Guangyu& Zhang, Wenlong& Zhang, Xiaofei. 2020. Construction and Validation of Predictive Model to Identify Critical Genes Associated with Advanced Kidney Disease. International Journal of Genomics،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1171310
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xin, Guangda…[et al.]. Construction and Validation of Predictive Model to Identify Critical Genes Associated with Advanced Kidney Disease. International Journal of Genomics No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1171310
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xin, Guangda& Zhou, Guangyu& Zhang, Wenlong& Zhang, Xiaofei. Construction and Validation of Predictive Model to Identify Critical Genes Associated with Advanced Kidney Disease. International Journal of Genomics. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1171310
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1171310
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