Integration of Mendelian Randomization to explore the genetic influences of pediatric sepsis: a focus on RGL4, ATP9A, MAP3K7CL, and DDX11L2
Abstract Objective This study aims to explore the genetic characteristics of pediatric sepsis through a combined analysis of multiple methods, including Mendelian Randomization (MR), differential gene expression analysis, and immune cell infiltration assessment. It explores their potential as biomar...
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2025-01-01
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| Series: | BMC Pediatrics |
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| Online Access: | https://doi.org/10.1186/s12887-025-05424-y |
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| author | Liuzhao Zhang Quanwang Chu Shuyue Jiang Bo Shao |
| author_facet | Liuzhao Zhang Quanwang Chu Shuyue Jiang Bo Shao |
| author_sort | Liuzhao Zhang |
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| description | Abstract Objective This study aims to explore the genetic characteristics of pediatric sepsis through a combined analysis of multiple methods, including Mendelian Randomization (MR), differential gene expression analysis, and immune cell infiltration assessment. It explores their potential as biomarkers for sepsis risk and their involvement in immune-related pathways. Methods Differential expression analysis was performed using public datasets to identify genes with significant expression changes between pediatric sepsis patients and healthy controls. MR analysis utilized genome-wide significant SNPs as instrumental variables to assess causal relationships between gene expression and sepsis risk. Bi-directional MR was conducted to assess both forward and reverse causality. FDR correction was applied to adjust for multiple comparisons in MR results. Immune cell infiltration analysis was performed to investigate the genes’ roles in immune responses, and findings were validated with independent datasets. ROC curves were constructed to assess predictive performance. Results Differential expression analysis identified significant changes in RGL4,ATP9A,MAP3K7CL, and DDX11L2. MR analysis revealed causal associations between these genes and sepsis risk, with RGL4 and ATP9A upregulated (inflammatory roles), and MAP3K7CL and DDX11L2 downregulated (protective roles). Bi-directional MR found no significant reverse causality. Immune cell analysis showed associations with key immune cell types, and ROC analysis demonstrated strong predictive potential. Conclusion RGL4,ATP9A,MAP3K7CL, and DDX11L2 play important roles in pediatric sepsis risk and immune response regulation, offering insights into genetic and immune mechanisms that may inform future sepsis research and treatment. |
| format | Article |
| id | doaj-art-e4eab7f7a0924d668e582925b1a96b86 |
| institution | Kabale University |
| issn | 1471-2431 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Pediatrics |
| spelling | doaj-art-e4eab7f7a0924d668e582925b1a96b862025-02-02T12:42:59ZengBMCBMC Pediatrics1471-24312025-01-0125111110.1186/s12887-025-05424-yIntegration of Mendelian Randomization to explore the genetic influences of pediatric sepsis: a focus on RGL4, ATP9A, MAP3K7CL, and DDX11L2Liuzhao Zhang0Quanwang Chu1Shuyue Jiang2Bo Shao3Department of Critical Care Medicine, Anhui Jing’an Medicine HospitalDepartment of Critical Care Medicine, Anhui Jing’an Medicine HospitalDepartment of Critical Care Medicine, Anhui Jing’an Medicine HospitalDepartment of Pathology, Anhui Provincial Children’s HospitalAbstract Objective This study aims to explore the genetic characteristics of pediatric sepsis through a combined analysis of multiple methods, including Mendelian Randomization (MR), differential gene expression analysis, and immune cell infiltration assessment. It explores their potential as biomarkers for sepsis risk and their involvement in immune-related pathways. Methods Differential expression analysis was performed using public datasets to identify genes with significant expression changes between pediatric sepsis patients and healthy controls. MR analysis utilized genome-wide significant SNPs as instrumental variables to assess causal relationships between gene expression and sepsis risk. Bi-directional MR was conducted to assess both forward and reverse causality. FDR correction was applied to adjust for multiple comparisons in MR results. Immune cell infiltration analysis was performed to investigate the genes’ roles in immune responses, and findings were validated with independent datasets. ROC curves were constructed to assess predictive performance. Results Differential expression analysis identified significant changes in RGL4,ATP9A,MAP3K7CL, and DDX11L2. MR analysis revealed causal associations between these genes and sepsis risk, with RGL4 and ATP9A upregulated (inflammatory roles), and MAP3K7CL and DDX11L2 downregulated (protective roles). Bi-directional MR found no significant reverse causality. Immune cell analysis showed associations with key immune cell types, and ROC analysis demonstrated strong predictive potential. Conclusion RGL4,ATP9A,MAP3K7CL, and DDX11L2 play important roles in pediatric sepsis risk and immune response regulation, offering insights into genetic and immune mechanisms that may inform future sepsis research and treatment.https://doi.org/10.1186/s12887-025-05424-yPediatric sepsisMendelian RandomizationDifferential expression analysisRGL4ATP9AMAP3K7CL |
| spellingShingle | Liuzhao Zhang Quanwang Chu Shuyue Jiang Bo Shao Integration of Mendelian Randomization to explore the genetic influences of pediatric sepsis: a focus on RGL4, ATP9A, MAP3K7CL, and DDX11L2 BMC Pediatrics Pediatric sepsis Mendelian Randomization Differential expression analysis RGL4 ATP9A MAP3K7CL |
| title | Integration of Mendelian Randomization to explore the genetic influences of pediatric sepsis: a focus on RGL4, ATP9A, MAP3K7CL, and DDX11L2 |
| title_full | Integration of Mendelian Randomization to explore the genetic influences of pediatric sepsis: a focus on RGL4, ATP9A, MAP3K7CL, and DDX11L2 |
| title_fullStr | Integration of Mendelian Randomization to explore the genetic influences of pediatric sepsis: a focus on RGL4, ATP9A, MAP3K7CL, and DDX11L2 |
| title_full_unstemmed | Integration of Mendelian Randomization to explore the genetic influences of pediatric sepsis: a focus on RGL4, ATP9A, MAP3K7CL, and DDX11L2 |
| title_short | Integration of Mendelian Randomization to explore the genetic influences of pediatric sepsis: a focus on RGL4, ATP9A, MAP3K7CL, and DDX11L2 |
| title_sort | integration of mendelian randomization to explore the genetic influences of pediatric sepsis a focus on rgl4 atp9a map3k7cl and ddx11l2 |
| topic | Pediatric sepsis Mendelian Randomization Differential expression analysis RGL4 ATP9A MAP3K7CL |
| url | https://doi.org/10.1186/s12887-025-05424-y |
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