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Exploring potential biomarkers for acute myocardial infarction by combining circadian rhythm gene expression and immune cell infiltration
Abstract Current diagnostic biomarkers for acute myocardial infarction (AMI), such as troponins, often lack specificity, leading to false positives under non-cardiac conditions. Recent studies have implicated circadian rhythm and immune infiltration in the pathogenesis of AMI. This study hypothesizes that analyzing the interplay between circadian rhythm-related gene expression and immune infiltration identify highly specific diagnostic biomarkers for AMI. Our results demonstrated differential expression of 15 circadian rhythm-related genes (CRGs) between AMI patients and healthy individuals, with five key genes—JUN, NAMPT, S100A8, SERPINA1, and VCAN identified as key contributors to this process. Functional enrichment analyses suggest these genes significantly influence cytokine and chemokine production in immune responses. Immune infiltration assessments using ssGSEA indicated elevated levels of neutrophils, macrophages, and eosinophils in AMI patients. Additionally, we identified potential therapeutic implications with 13 pivotal miRNAs and 10 candidate drugs targeting these genes. The Benjamini–Hochberg method was employed to adjust for multiple testing, and the results retained statistical significance. RT-qPCR analysis further confirmed the upregulation of these five genes under hypoxic conditions, compared to controls. Collectively, our findings highlight the critical role of CRGs in AMI, providing a foundation for improved diagnostic approaches and novel therapeutic targets.
Human microRNA miR-197-3p positively regulates HIV-1 virion infectivity through its target DDX52 by stabilizing Vif protein expression
Predicted missing information biases ensemble perception of temporally ordered facial expressions
Interplay of chromatin remodeling BAF complexes in mouse embryonic and epiblast stem cell conversion and maintenance
Spatial-domain combination of GRACE monthly time-variable gravity models based on multiple weighting strategies and comparison of models’ performance in the Caspian Sea
SETD7 promotes LC3B methylation and degradation in ovarian cancer
Mid-term outcomes of percutaneous pulmonary valve replacement with Edwards-Sapien bioprosthesis in native right ventricular outflow tract
Interaction of unphosphorylated PtsN with the K+/H+ antiporter YcgO inhibits its activity in Escherichia coli
The role of footwear in improving running economy: a systematic review with meta-analysis of controlled trials
Cabozantinib selectively induces proteasomal degradation of p53 somatic mutant Y220C and impedes tumor growth
Integrating bulk and single-cell RNA sequencing data: unveiling RNA methylation and autophagy-related signatures in chronic obstructive pulmonary disease patients
Angiogenesis-promoting effect of SKP-SC-EVs-derived miRNA-30a-5p in peripheral nerve regeneration by targeting LIF and ANGPT2
Nest site selection during the second breeding attempt in Japanese tits (Parus minor): effects of nest site characteristics
Liver fatty acid binding protein FABP1 transfers substrates to cytochrome P450 4A11 for catalysis
Validation of histopathology foundation models through whole slide image retrieval
PDE4B promotes ferroptosis in nucleus pulposus cells and is involved in intervertebral disc degeneration
Fully automated CFD simulation system research based on design scheme tree
Abstract Compared with the remarkable achievements of computer-aided drug discovery systems for drug discovery, the role of computational fluid dynamics (CFD) in flow channel design requires further development. While CFD has undergone rapid evolution, the absence of integrated geometry and mesh processing hinders the potential development of advanced applications of this technology. To overcome this limitation, in this paper, the JIACFD toolset is presented, and a fully automated CFD simulation system is established. The simulation system is also constructed on a design scheme tree, which is more in accordance with engineering logic. The control parameter trend analysis method is introduced to select appropriate candidates from the design scheme tree. Additionally, the control parameter trend assumption, which is proven via the Spearman method, is proposed to improve the efficiency of the system. During the verification process for the study case, two independent control parameters exhibit correlating trends, and one control parameter converges when the number of meshes increases, indicating a lack of trend sensitivity. The design scheme tree and trend curve are subsequently utilized to effectively analyze the flow field characteristics of different schemes. Finally, the control parameter trend analysis method is employed to rank the design scheme tree and verify that the ranking of candidates is not dependent on the number of meshes. This paper investigates and verifies the presented system, method, and assumption and explores the possibility of an established system playing a more critical role in performance design work.