ArticleInternational journal of molecular sciences2025
Transcriptomic Profiling Reveals Distinct Immune Dysregulation in Early-Stage Sepsis Patients.
Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- BRPtools: An AutoML-Powered web platform for multiclass disease prediction from bulk blood RNA-seq data.Molecular therapy. Nucleic acids · 2026Article
- Multi-omics insights into immunometabolic dysregulation in neonatal sepsis for precision medicine.Molecular biology reports · 2026Review
- Recent advances in early screening and diagnosis of sepsis: a narrative review.Frontiers in cellular and infection microbiology · 2026Review
- Development of a prognostic model for sepsis based on gut microbiota-associated genes and identification of potential targets.Frontiers in medicine · 2026Article
- Special Issue "Molecular Mechanisms and Pathophysiology of Sepsis".International journal of molecular sciences · 2025Article
- Identification of sepsis biomarkers through glutamine metabolism-mediated immune regulation: a comprehensive analysis employing mendelian randomization, multi-omics integration, and machine learning.Frontiers in immunology · 2025Article
- Strength of Omics in Uncovering Sepsis Mechanisms-A Perspective.Current health sciences journalReview
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Sepsis is a life-threatening condition characterized by dysregulated immune responses to infection. To elucidate early transcriptional changes in sepsis, we conducted a case-control study profiling gene expression in whole blood from 20 early-stage sepsis patients and 9 healthy controls. Using Affymetrix Clariom D Human Arrays and robust preprocessing, we identified differentially expressed genes (DEGs) using standard bioinformatic pipelines. A total of 344 genes were significantly upregulated, while 9703 were significantly downregulated in sepsis patients (|log2FC| > 1, adjusted
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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.