دورية أكاديمية

Bioinformatic analysis identifies potential biomarkers and therapeutic targets of septic-shock-associated acute kidney injury

التفاصيل البيبلوغرافية
العنوان: Bioinformatic analysis identifies potential biomarkers and therapeutic targets of septic-shock-associated acute kidney injury
المؤلفون: Yun Tang, Xiaobo Yang, Huaqing Shu, Yuan Yu, Shangwen Pan, Jiqian Xu, You Shang
المصدر: Hereditas, Vol 158, Iss 1, Pp 1-10 (2021)
بيانات النشر: BMC, 2021.
سنة النشر: 2021
المجموعة: LCC:Genetics
مصطلحات موضوعية: Sepsis, Septic shock, Acute kidney injury, Bioinformatic analysis, Differentially expressed genes, Genetics, QH426-470
الوصف: Abstract Background Sepsis and septic shock are life-threatening diseases with high mortality rate in intensive care unit (ICU). Acute kidney injury (AKI) is a common complication of sepsis, and its occurrence is a poor prognostic sign to septic patients. We analyzed co-differentially expressed genes (co-DEGs) to explore relationships between septic shock and AKI and reveal potential biomarkers and therapeutic targets of septic-shock-associated AKI (SSAKI). Methods Two gene expression datasets (GSE30718 and GSE57065) were downloaded from the Gene Expression Omnibus (GEO). The GSE57065 dataset included 28 septic shock patients and 25 healthy volunteers and blood samples were collected within 0.5, 24 and 48 h after shock. Specimens of GSE30718 were collected from 26 patients with AKI and 11 control patents. AKI-DEGs and septic-shock-DEGs were identified using the two datasets. Subsequently, Gene Ontology (GO) functional analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed to elucidate molecular mechanisms of DEGs. We also evaluated co-DEGs and corresponding predicted miRNAs involved in septic shock and AKI. Results We identified 62 DEGs in AKI specimens and 888, 870, and 717 DEGs in septic shock blood samples within 0.5, 24 and 48 h, respectively. The hub genes of EGF and OLFM4 may be involved in AKI and QPCT, CKAP4, PRKCQ, PLAC8, PRC1, BCL9L, ATP11B, KLHL2, LDLRAP1, NDUFAF1, IFIT2, CSF1R, HGF, NRN1, GZMB, and STAT4 may be associated with septic shock. Besides, co-DEGs of VMP1, SLPI, PTX3, TIMP1, OLFM4, LCN2, and S100A9 coupled with corresponding predicted miRNAs, especially miR-29b-3p, miR-152-3p, and miR-223-3p may be regarded as promising targets for the diagnosis and treatment of SSAKI in the future. Conclusions Septic shock and AKI are related and VMP1, SLPI, PTX3, TIMP1, OLFM4, LCN2, and S100A9 genes are significantly associated with novel biomarkers involved in the occurrence and development of SSAKI.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1601-5223
Relation: https://doaj.org/toc/1601-5223
DOI: 10.1186/s41065-021-00176-y
URL الوصول: https://doaj.org/article/955b05c004da40faa71ea291e86b2482
رقم الأكسشن: edsdoj.955b05c004da40faa71ea291e86b2482
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16015223
DOI:10.1186/s41065-021-00176-y