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Enhancing insight into ferroptosis mechanisms in sepsis: A genomic and pharmacological approach integrating single-cell sequencing and Mendelian randomization.
Zhao, Yuanqi; Zhou, Zijian; Cui, Xiuyu; Yu, Yiwei; Yan, Ping; Zhao, Weidong.
Afiliação
  • Zhao Y; Department of Clinical Laboratory, School of Clinical Medicine, Dali University, Dali, China.
  • Zhou Z; Department of Clinical Laboratory, School of Clinical Medicine, Dali University, Dali, China.
  • Cui X; Department of Clinical Laboratory, School of Clinical Medicine, Dali University, Dali, China.
  • Yu Y; Department of Clinical Laboratory, School of Clinical Medicine, Dali University, Dali, China.
  • Yan P; Department of Gastroenterology, First Affiliated Hospital of Dali University, Dali, China. Electronic address: yanping@dali.edu.cn.
  • Zhao W; Department of Clinical Laboratory, School of Clinical Medicine, Dali University, Dali, China; Department of Clinical Laboratory, Second Infectious Disease Hospital of Yunnan Province, Dali, China; Immunology Discipline Team, School of Basic Medicine, Dali University, Dali, China. Electronic address:
Int Immunopharmacol ; 140: 112910, 2024 Oct 25.
Article em En | MEDLINE | ID: mdl-39121604
ABSTRACT
This research investigated the intricate relationship between ferroptosis and sepsis by utilizing advanced genomic and pharmacological methodologies. Specifically, we obtained expression quantitative trait loci (eQTLs) for 435 genes associated with ferroptosis from the eQTLGen Consortium and detected notable cis-eQTLs for 281 of these genes. Next, we conducted a detailed analysis to assess the impact of these eQTLs on susceptibility to sepsis using Mendelian randomization (MR) with data from a cohort of 10,154 sepsis patients and 452,764 controls sourced from the UK Biobank. MR analysis revealed 16 ferroptosis-related genes that exhibited significant associations with sepsis outcomes. To bolster the robustness of these findings, sensitivity analyses were performed to assess pleiotropy and heterogeneity, thus confirming the reliability of the causal inferences. Furthermore, single-cell RNA sequencing data from sepsis patients offered a detailed examination of gene expression profiles, demonstrating varying levels of ferroptosis marker expression across different cell types. Pathway enrichment analysis utilizing gene set enrichment analysis (GSEA) further revealed the key biological pathways involved in the progression of sepsis. Additionally, the use of computational molecular docking facilitated the prediction of interactions between identified genes and potential therapeutic compounds, highlighting novel drug targets. In conclusion, our integrated approach combining genomics and pharmacology offers valuable insights into the involvement of ferroptosis in sepsis, laying the groundwork for potential therapeutic strategies targeting this cell death pathway to enhance sepsis management.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sepse / Locos de Características Quantitativas / Análise da Randomização Mendeliana / Análise de Célula Única / Ferroptose Limite: Humans Idioma: En Revista: Int Immunopharmacol Assunto da revista: ALERGIA E IMUNOLOGIA / FARMACOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sepse / Locos de Características Quantitativas / Análise da Randomização Mendeliana / Análise de Célula Única / Ferroptose Limite: Humans Idioma: En Revista: Int Immunopharmacol Assunto da revista: ALERGIA E IMUNOLOGIA / FARMACOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Holanda