ArticleJournal of cellular and molecular medicine2024
Summary data-based Mendelian randomization and single-cell RNA sequencing analyses identify immune associations with low-level LGALS9 in sepsis.
Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Integrative multi-omics analysis identifies key ubiquitination regulators in prostate cancer.Translational oncology · 2026Article
- From locus to gene: causal inference and experimental validation prioritize PSMA4 as a candidate target in lung adenocarcinoma.American journal of cancer research · 2026Article
- The Donkey Genome: From Evolutionary Insights to Sustainable Breeding Strategies.Animals : an open access journal from MDPI · 2025Review
- Article
- An In-Silico Study to Identify Relevant Biomarkers in Sepsis Applying Integrated Bulk RNA Sequencing and Single-Cell RNA Sequencing Analyses.Global challenges (Hoboken, NJ) · 2025Article
- Summary data-based Mendelian randomization and single-cell RNA sequencing analyses identify immune associations with low-level LGALS9 in sepsis.Journal of cellular and molecular medicine · 2024Article
- Lactate metabolism orchestrates immune dysregulation in renal cancer: A multi-omics and causal inference study.Science progressArticle
- The Causal Effects of Inflammation and Coagulation-Related Biomarkers on Sepsis-Related Complications: A Mendelian Randomization Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
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Authors and funding
5 authors.
Funding
Abstract
Sepsis is one of the major challenges in intensive care units, characterized by the complexity of the host immune status. To gain a deeper understanding of the pathogenesis of sepsis, it is crucial to study the phenotypic changes in immune cells and their underlying molecular mechanisms. We conducted Summary data-based Mendelian randomization analysis by integrating genome-wide association studies data for sepsis with expression quantitative trait locus data, revealing a significant decrease in the expression levels of 17 biomarkers in sepsis patients. Furthermore, based on single-cell RNA sequencing data, we elucidated potential molecular mechanisms at single-cell resolution and identified that LGALS9 inhibition in sepsis patients leads to the activation and differentiation of monocyte and T-cell subtypes. These findings are expected to assist researchers in gaining a more in-depth understanding of the immune dysregulation in sepsis.
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Registered trials
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