Identification of biomarkers and pathways of mitochondria in sepsis patients
Yuan, G.
Show abstract
Sepsis is a life-threatening condition associate with significant morbidity and mortality, but limited treatment. Mitochondria are recently recognized to be related to the pathophysiology of sepsis, and mitochondria could serve as a potential drug target. In our study, we aim to identify biological functions and pathways of mitochondria during the processes of sepsis by using a bioinformatics method to elucidate their potential pathogenesis. The gene expression profiles of the GSE167914 dataset were originally created by using the Nanostring nCounter Elements TagSet preselected for mitochondrial biogenesis and function panel. The biological pathways were analyzed by the Kyoto Encyclopedia of Genes and Genomes pathway (KEGG), Gene Ontology (GO), and Reactome enrichment. KEGG and GO results showed the Neurodegeneration pathways such as Huntington and Parkinson pathways were mostly affected in the development of sepsis. Moreover, we identified several mitochondrial genes including TOMM40, TOMM20, TIMM22, TIMM10, TIMM17A, TIMM9, TIMM44 were involved in the regulation of protein translocation into mitochondria. Further, we predicted several regulators that had the ability to affect the mitochondria during sepsis by L1000fwd analysis. Thus, this study provides further insights into the mechanism of mitochondrial function during sepsis.
Matching journals
The top 14 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The combination of lipopolysaccharide and D-galactosamine administration show positive genotoxic effect in mice liver 95%
- Candidate genes associated with neurological manifestations of COVID-19: Meta-analysis using multiple computational approaches 94%
- Immune Classification of Clear Cell Renal Cell Carcinoma 94%
Similar papers in this journal
- Bioinformatics analyses and experimental validation of ferroptosis-related genes in bronchopulmonary dysplasia pathogenesis 96%
- Decorin inhibits glucose-induced lens epithelial cell apoptosis via suppressing p22phox-p38 MAPK signaling pathway 95%
- The up-regulation of TGF-beta1 by miRNA-132-3p/WT1 is involved in inducing leukemia cells to differentiate into macrophages 95%
Similar papers in this journal
- Increased LPS levels coexist with systemic inflammation and result in monocyte activation in severe COVID-19 patients 94%
- Aucubin promoted neuron functional recovery by suppressing inflammation and neuronal apoptosis in a spinal cord injury model 93%
- Gut microbes of the cecum versus the colon drive more severe lethality and multi-organ damage 92%
Similar papers in this journal
- From miRNA target gene network to miRNA function: miR-375 might regulate apoptosis and actin dynamics in the heart muscle via Rho-GTPases-dependent pathways 94%
- Comprehensive analysis of hsa-miR-654-5p's tumor-suppressing functions 93%
- Somatic Cell Nuclear Transfer Embryos Show Massive Dysregulation of Genes Involved in Transcription Pathway 93%
Similar papers in this journal
- A bioinformatics approach to systematically analyze the molecular patterns of monkeypox virus-host cell interactions 95%
- A small H2O-soluble ingredient of royal jelly lower cholesterol levels in liver cells by suppressing squalene epoxidase 94%
- BESFA: Bioinformatics based Evolutionary, Structural & Functional Analysis of Prostrate, Placenta, Ovary, Testis, and Embryo (POTE) Paralogs 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.