Background: Sepsis is organ dysfunction due to the host's deleterious response to infection, and the kidneys are one of the organs damaged in common sepsis. Sepsis-associated acute kidney injury (SA-AKI) increases the mortality in patients with sepsis. Although a substantial volume of research has improved the prevention and treatment of the disease, SA-SKI is still a significant clinical concern.
Purpose: Aimed to use weighted gene co-expression network analysis (WGCNA) and immunoinfiltration analysis to study SA-AKI-related diagnostic markers and potential therapeutic targets.
Methods: Immunoinfiltration analysis was performed on SA-AKI expression datasets from the Gene Expression Synthesis (GEO) database. A weighted gene co-expression network analysis (WGCNA) analysis was performed on immune invasion scores as trait data, and modules associated with immune cells of interest were identified as hub modules. Screening hub geneset in the hub module using protein-protein interaction (PPI) network analysis. The hub gene was identified as a target by intersecting with significantly different genes screened by differential expression analysis and validated using two external datasets. Finally, the correlation between the target gene, SA-AKI, and immune cells was verified experimentally.
Results: Green modules associated with monocytes were identified using WGCNA and immune infiltration analysis. Differential expression analysis and PPI network analysis identified two hub genes ( and ). Further validation using additional AKI datasets GSE30718 and GSE44925 showed that was significantly downregulated in AKI samples and correlated with the development of AKI. The correlation analysis of hub genes and immune cells showed that was significantly associated with monocyte infiltration and hence, selected as a critical gene. In addition, Gene single-enrichment analysis (GSEA) and PPI analyses results showed that was significantly related to the occurrence and development of SA-AKI.
Conclusions: is inversely correlated with the recruitment of monocytes and the release of various inflammatory factors in the kidneys of AKI. can be a potential biomarker and therapeutic target for monocyte infiltration in sepsis-related AKI.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922996 | PMC |
| http://dx.doi.org/10.3389/fimmu.2023.1049536 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial.
J Med Internet Res
January 2025
Black Dog Institute, University of New South Wales, Sydney, Australia.
Background: With increasing adoption of remote clinical trials in digital mental health, identifying cost-effective and time-efficient recruitment methodologies is crucial for the success of such trials. Evidence on whether web-based recruitment methods are more effective than traditional methods such as newspapers, media, or flyers is inconsistent. Here we present insights from our experience recruiting tertiary education students for a digital mental health artificial intelligence-driven adaptive trial-Vibe Up.
View Article and Find Full Text PDFAntiseizure Medications in Poststroke Seizures: A Systematic Review and Network Meta-Analysis.
Neurology
February 2025
Department of Neurology, Yale University School of Medicine, New Haven, CT.
Background And Objectives: The most effective antiseizure medications (ASMs) for poststroke seizures (PSSs) remain unclear. We aimed to determine outcomes associated with ASMs in people with PSS.
Methods: We systematically searched electronic databases for studies on patients with PSS on ASMs.
Ward-Based Staff Perspectives on Their Preparedness to Recognize Patient Deterioration: An Interpretive Description Study.
J Nurs Res
January 2025
College of Nursing & Health Science, Flinders University, Adelaide, Australia.
Background: Despite an overall decline in serious adverse events in hospitalized patients, approximately one third of inpatient mortality continues to relate to adverse events impacting patients on general wards. The preparedness of nurses, midwives, and nursing assistants (collectively referred to as ward-based staff) to recognize patient deterioration is therefore seen as critical.
Purpose: The aim of this study was to explore ward-based staff perspectives regarding their preparedness to recognize patient deterioration.
Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy.
PLoS One
January 2025
School of Economics and Trade, Guangzhou Xinhua University, Dongguan, China.
Stock price prediction is a challenging research domain. The long short-term memory neural network (LSTM) widely employed in stock price prediction due to its ability to address long-term dependence and transmission of historical time signals in time series data. However, manual tuning of LSTM parameters significantly impacts model performance.
View Article and Find Full Text PDFSpecialization of the human hippocampal long axis revisited.
Proc Natl Acad Sci U S A
January 2025
Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138.
The hippocampus possesses anatomical differences along its long axis. Here, we explored the functional specialization of the human hippocampal long axis using network-anchored precision functional MRI in two independent datasets (N = 11 and N = 9) paired with behavioral analysis (N = 266 and N = 238). Functional connectivity analyses demonstrated that the anterior hippocampus was preferentially correlated with a cerebral network associated with remembering, while the posterior hippocampus selectively contained a region correlated with a distinct network associated with behavioral salience.
View Article and Find Full Text PDFWant 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!