Despite all epidemiological, clinical, and experimental research efforts, therapeutic concepts in sepsis and sepsis-induced multi-organ dysfunction syndrome (MODS) remain limited and unsatisfactory. Currently, gene expression data sets are widely utilized to discover new biomarkers and therapeutic targets in diseases. In the present study, we analyzed MODS expression profiles (comprising 13 sepsis and 8 control samples) retrieved from NCBI-GEO and found 359 differentially expressed genes (DEGs), among which 170 were downregulated and 189 were upregulated. Next, we employed the weighted gene co-expression network analysis (WGCNA) to establish a MODS-associated gene co-expression network (weighted) and identified representative module genes having an elevated correlation with age. Based on the results, a turquoise module was picked as our hub module. Further, we constructed the PPI network comprising 35 hub module DEGs. The DEGs involved in the highest-confidence PPI network were utilized for collecting pathway and gene ontology (GO) terms using various libraries. Nucleotide di- and triphosphate biosynthesis and interconversion was the most significant pathway. Also, 3 DEGs within our PPI network were involved in the top 5 significantly enriched ontology terms, with hypercortisolism being the most significant term. PRKAR1A was the overlapping gene between top 5 significant pathways and GO terms, respectively. PRKAR1A was considered as a therapeutic target in MODS, and 2992 ligands were screened for binding with PRKAR1A. Among these ligands, 3 molecules based on CDOCKER score (molecular dynamics simulated-based score, which allows us to rank the binding poses according to their quality and to identify the best pose for each system) and crucial interaction with human PRKAR1A coding protein and protein kinase-cyclic nucleotide binding domains (PKA RI alpha CNB-B domain) via active site binding residues, viz. Val283, Val302, Gln304, Val315, Ile327, Ala336, Ala337, Val339, Tyr373, and Asn374, were considered as lead molecules.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018728PMC
http://dx.doi.org/10.1021/acsomega.3c00020DOI Listing

Publication Analysis

Top Keywords

ppi network
12
therapeutic target
8
multi-organ dysfunction
8
dysfunction syndrome
8
gene co-expression
8
co-expression network
8
hub module
8
ontology terms
8
prkar1a
5
gene
5

Similar Publications

Genome-wide analysis of alternative splicing differences in hepatic ischemia reperfusion injury.

Sci Rep

December 2024

Department of Minimally Invasive Hepatic Surgery, Key Laboratory of Hepatosplenic Surgery, the First Affiliated Hospital of Harbin Medical University, Ministry of Education, Harbin, Heilongjiang, China.

Alternative splicing (AS) contributes to transcript and protein diversity, affecting their structure and function. However, the specific transcriptional regulatory mechanisms underlying AS in the context of hepatic ischemia reperfusion (IR) injury in mice have not been extensively characterized. In this study, we investigated differentially alternatively spliced (DAS) genes and differentially expressed transcripts (DETs) in a mouse model of hepatic IR injury using the high throughput RNA sequencing (RNA-seq) analysis and replicate multivariate analysis of transcript splicing (rMATS) analysis.

View Article and Find Full Text PDF

Effects of transglutaminase on the gelation properties and digestibility of pea protein isolate with resonance acoustic mixing pretreatment.

Food Chem

December 2024

School of Food Science and Engineering, and Natural Food Macromolecule Research Center, Shaanxi University of Science and Technology, Xi'an 710021, China. Electronic address:

Our previous research confirmed that resonance acoustic mixing (RAM) pretreatment effectively improved the emulsification and water retention of commercial pea protein isolate (PPI), but significantly reduced its gel performance. This study aimed to investigate the effect of transglutaminase (TGase, 0.1 %, 0.

View Article and Find Full Text PDF

Drug repositioning in castration-resistant prostate cancer using systems biology and computational drug design techniques.

Comput Biol Chem

December 2024

Bioinformatics Research Center, Basic Sciences Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Medical Biotechnology and Nanotechnology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address:

Background And Objective: Castration-resistant prostate cancer (CRPC) is caused by resistance to androgen deprivation treatment and leads to the death of patients and there is almost no chance of survival. Therefore, finding a cure to overcome CRPC is challenging and important, but discovering a new drug is very time-consuming and expensive. To overcome these problems, we used Drug repositioning (drug repurposing) strategy in this study.

View Article and Find Full Text PDF

Interpretable machine learning-driven biomarker identification and validation for Alzheimer's disease.

Sci Rep

December 2024

Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 818 Fenghua Road, Jiangbei District, Ningbo, China.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by limited effective treatments, underscoring the critical need for early detection and diagnosis to improve intervention outcomes. This study integrates various bioinformatics methodologies with interpretable machine learning to identify reliable biomarkers for AD diagnosis and treatment. By leveraging differentially expressed genes (DEGs) analysis, weighted gene co-expression network analysis (WGCNA), and construction of Protein-Protein Interaction (PPI) Networks, we meticulously analyzed the AD dataset from the GEO database to pinpoint Hub genes.

View Article and Find Full Text PDF

There is growing evidence that programmed cell death plays a significant role in the pathogenesis of chronic thromboembolic pulmonary hypertension (CTEPH). Anoikis is a newly discovered type of programmed death and has garnered great attention. However, the precise involvement of Anoikis in the progression of CTEPH remains poorly understood.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!