Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis
المؤلفون المشاركون
Wang, Yu-Ming
Gong, Fang-Chen
Ji, Ran
Yang, Zhi-Tao
Chen, Ying
Mao, En-Qiang
Chen, Er-Zhen
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-09
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Sepsis remains a major global concern and is associated with high mortality and morbidity despite improvements in its management.
Markers currently in use have shortcomings such as a lack of specificity and failures in the early detection of sepsis.
In this study, we aimed to identify key genes involved in the molecular mechanisms of sepsis and search for potential new biomarkers and treatment targets for sepsis using bioinformatics analyses.
Three datasets (GSE95233, GSE57065, and GSE28750) associated with sepsis were downloaded from the public functional genomics data repository Gene Expression Omnibus.
Differentially expressed genes (DEGs) were identified using R packages (Affy and limma).
Functional enrichment of the DEGs was analyzed with the DAVID database.
Protein-protein interaction networks were derived using the STRING database and visualized using Cytoscape software.
Potential biomarker genes were analyzed using receiver operating characteristic (ROC) curves in the R package (pROC).
The three datasets included 156 whole blood RNA samples from 89 sepsis patients and 67 healthy controls.
Between the two groups, 568 DEGs were identified, among which 315 were upregulated and 253 were downregulated in the septic group.
These genes were enriched for pathways mainly involved in the innate immune response, T-cell biology, antigen presentation, and natural killer cell function.
ROC analyses identified nine genes—LRG1, ELANE, TP53, LCK, TBX21, ZAP70, CD247, ITK, and FYN—as potential new biomarkers for sepsis.
Real-time PCR confirmed that the expression of seven of these genes was in accordance with the microarray results.
This study revealed imbalanced immune responses at the transcriptomic level during early sepsis and identified nine genes as potential biomarkers for sepsis.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gong, Fang-Chen& Ji, Ran& Wang, Yu-Ming& Yang, Zhi-Tao& Chen, Ying& Mao, En-Qiang…[et al.]. 2020. Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis. Mediators of Inflammation،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1191670
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gong, Fang-Chen…[et al.]. Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis. Mediators of Inflammation No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1191670
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gong, Fang-Chen& Ji, Ran& Wang, Yu-Ming& Yang, Zhi-Tao& Chen, Ying& Mao, En-Qiang…[et al.]. Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis. Mediators of Inflammation. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1191670
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1191670
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