2022
DOI: 10.2147/ijgm.s349235
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Identification of Hub Diagnostic Biomarkers and Candidate Therapeutic Drugs in Heart Failure

Abstract: Purpose The objective of this study was to identify the potential regulatory mechanisms, diagnostic biomarkers, and therapeutic drugs for heart failure (HF). Methods Differentially expressed genes (DEGs) between HF and non-failing donors were screened from the GSE57345, GSE5406, and GSE3586 datasets. Database for Annotation Visualization and Integrated Discovery and Metascape were used for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses respectively. … Show more

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Cited by 6 publications
(8 citation statements)
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References 52 publications
(47 reference statements)
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“…There is a trend that multiple ML algorithms such as least absolute shrinkage and selection operator (LASSO), support vector machine recursive feature elimination (SVM-RFE), random forest (RF) are used to screen disease biomarkers and therapeutic targets, explore pathogenesis and predict clinical outcomes, which will allow for more rigorous and standardized processes. Many studies have also attempted to explore the possible pathological progression mechanisms of ICM by combining data from the public database, bioinformatics analysis, and ML algorithms (13)(14)(15). However, few studies have been conducted to identify potential inflammation-related diagnostic genes for ICM.…”
Section: Introductionmentioning
confidence: 99%
“…There is a trend that multiple ML algorithms such as least absolute shrinkage and selection operator (LASSO), support vector machine recursive feature elimination (SVM-RFE), random forest (RF) are used to screen disease biomarkers and therapeutic targets, explore pathogenesis and predict clinical outcomes, which will allow for more rigorous and standardized processes. Many studies have also attempted to explore the possible pathological progression mechanisms of ICM by combining data from the public database, bioinformatics analysis, and ML algorithms (13)(14)(15). However, few studies have been conducted to identify potential inflammation-related diagnostic genes for ICM.…”
Section: Introductionmentioning
confidence: 99%
“…A higher total score suggests a closer interaction between drug and potential target. When total score is ≥4, the drug is considered a candidate to be studied continuously [ 45 ]. The obtained total scores of compound 5f with nineteen DEPs were indicated with filled triangles in Figure 6(b) , and all of them were larger than 4.…”
Section: Resultsmentioning
confidence: 99%
“…Green solid. Yield: 45 supplemented with 10% fetal bovine serum (Minhai, China) and 1% penicillin/streptomycin at 37 °C and 5% CO 2 . After growing HepG2 cells overnight, the cells were treated with 500 μM PA (Solarbio, China) for 24 h. For pharmacological treatments, HepG2 cells were treated with different concentrations of compound 5f simultaneously.…”
Section: 25mentioning
confidence: 99%
“…A higher total score suggests a closer interaction between small molecule and potential target ( Li et al., 2022 ; Zhang et al, 2019 ). A total score ≥ 4.0 indicates that the small molecule binds well to the targets ( Guo et al., 2022 ). Considering that 3D structure for CAV1 was not available in the PDB database, docking studies were performed between 46 targets and the top 50 chemical components ranked by node degree value.…”
Section: Resultsmentioning
confidence: 99%