ArticleBiochemical genetics2021
Sequencing Analysis of mRNA Profile in Endothelial Cells in Response to ox-LDL.
Article in Biochemical genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Mechanisms of Oxidized LDL-Mediated Endothelial Dysfunction and Its Consequences for the Development of Atherosclerosis.Frontiers in cardiovascular medicine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
The pathogenesis of atherosclerosis (AS) and abnormal endothelial cells apoptosis is a multifactorial biological process. Oxidized low density lipoprotein (ox-LDL) is a critical factor in the formation of AS. However, the exact mechanism is still not clear. Therefore, the aim of this study was to investigate some genes and biological pathways in endothelial cells apoptosis in response to ox-LDL. First, our results has validated that ox-LDL is an effective inducer of endothelial cells apoptosis, then, transcriptome sequencing was used to detect differential expression genes. In total, 71 differentially expressed genes (DEGs) were identified, including 32 upregulated genes and 39 downregulated genes. GO analysis showed that DEGs were mainly enriched in cytokine-mediated signaling pathway, gene expression, external side of plasma membrane, steroid binding, and signaling receptor binding. After KEGG analysis, the DEGs mainly focused on the following biochemical signaling pathways, including Signaling molecules and interaction (such as ICOSLG, IL6, ITGAM, TNFRSF13C and VTCN1), Signal transduction (such as IL13RA2, IL6, ITGAM, PDE5A, SGK3 and TNFRSF13C), Immune system (such as FCGR2A, ICOSLG, IL6, ITGAM and TNFRSF13C), and so on. These genes may play a dominant role in HAECs apoptosis and AS genesis. The above prediction and analysis provide an important basis for our follow-up study of the mechanism of these genes, which might be used as molecular targets or diagnostic biomarkers for AS.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.