Identification of sepsis-related genes by integrating eQTL data with Mendelian randomization analysis DOI

Chao Wen,

Dongliang Yang, Hongyan Guo

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Сен. 24, 2024

Abstract Background Sepsis is defined as a life-threatening organ dysfunction caused by dysfunctional host response to infection and associated with high mortality. However, there currently no effective treatment strategy for sepsis. Methods We obtained GSE263789, GSE54514 GSE66099 from the Gene Expression Omnibus (GEO) database selected differentially expressed genes (DEGs). extracted expression quantitative trait loci (eQTL) exposure sepsis GWAS outcome IEU Open database. MR analysis was used assess causality between eQTL The overlapping of DEGs significant were identified key genes. Enrichment immune cell infiltration performed verified in validation cohort. Results 18 sepsis-related genes, including 11 up-regulated (SEMA4A, LRPAP1, FAM89B, TOMM40L, SLC22A15, MACF1, MCTP2, NTSR1, PNKD, ACTR10, CPNE3) 7 down-regulated (IKZF3, TNFRSF25, HDC, HCP5, LYRM4, TFAM, RPS15A). analyses showed that these are mainly involved biological processes related inflammatory response. Compared healthy controls, abundance neutrophils activated mast cells increased group. Most correlated cells, neutrophils, CD8 T resting NK plasma memory B macrophage subtypes. Conclusion By combining bioinformatics analysis, we sepsis, enhancing our understanding genetic pathogenesis providing new insights into therapeutic targets

Язык: Английский

Proteome-Wide Mendelian Randomization Analysis to Identify Potential Plasma Biomarkers and Therapeutic Targets for Epithelial Ovarian Cancer Subtypes DOI Creative Commons

Qianhan Lin,

Jiajia Li, Yating Sun

и другие.

International Journal of Women s Health, Год журнала: 2024, Номер Volume 16, С. 2263 - 2279

Опубликована: Дек. 1, 2024

Epithelial ovarian cancer (EOC) remains an unmet medical challenge due to its insidious onset, atypical symptoms, and increasing resistance conventional chemotherapeutic agents. It is imperative explore novel biomarkers generate innovative target drugs.

Язык: Английский

Процитировано

1
Molecular questioning of potential efficacy of epsilon targeted antiviral treatment option for Domestic Cat Hepadnavirus DOI Creative Commons
Bahattin Taylan Koç, Ece Adıgüzel, Tuba Çiğdem Oğuzoğlu

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Май 30, 2024

Abstract We aimed to elucidate the molecular and secondary structure of DCH predict development antiviral drugs. performed a series polymerase chain reactions obtain complete sequences DCH. The were processed using computational tools. phylogenetic analysis showed that our belong one clade, but four are not part this monophyletic clade. A recombination detection program identified cases as potential events. cis-acting RNA region (ε) was evaluated revealed motifs similar those found in HBV. This similarity highlights for new-generation therapeutics region.

Язык: Английский

Процитировано

0
Comprehensive analysis identifies ubiquitin ligase FBXO42 as a tumor-promoting factor in neuroblastoma DOI Creative Commons

Jianwu Zhou,

Qijun Li,

Xiaobin Deng

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 12, 2024

Neuroblastoma, the deadliest solid tumor in children, exhibits alarming mortality rates, particularly among high-risk cases. To enhance survival a more precise risk stratification for patients is imperative. Utilizing proteomic data from 34 cases with or without N-Myc amplification, we identified 28 differentially expressed ubiquitination-related proteins (URGs). From these, prognostic signature comprising 6 URGs was constructed. A nomogram incorporating clinical-pathological parameters yielded impressive AUC values of 0.88, 0.93, and 0.95 at 1, 3, 5 years, respectively. Functional experiments targeting E3 ubiquitin ligase FBXO42, component signature, revealed its TP53-dependent promotion neuroblastoma cell proliferation. In conclusion, our model robustly predicts patient outcomes, guiding clinical decisions. Additionally, newfound pro-proliferative role FBXO42 offers novel foundation understanding molecular mechanisms neuroblastoma.

Язык: Английский

Процитировано

0
Identification of sepsis-related genes by integrating eQTL data with Mendelian randomization analysis DOI

Chao Wen,

Dongliang Yang, Hongyan Guo

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Сен. 24, 2024

Abstract Background Sepsis is defined as a life-threatening organ dysfunction caused by dysfunctional host response to infection and associated with high mortality. However, there currently no effective treatment strategy for sepsis. Methods We obtained GSE263789, GSE54514 GSE66099 from the Gene Expression Omnibus (GEO) database selected differentially expressed genes (DEGs). extracted expression quantitative trait loci (eQTL) exposure sepsis GWAS outcome IEU Open database. MR analysis was used assess causality between eQTL The overlapping of DEGs significant were identified key genes. Enrichment immune cell infiltration performed verified in validation cohort. Results 18 sepsis-related genes, including 11 up-regulated (SEMA4A, LRPAP1, FAM89B, TOMM40L, SLC22A15, MACF1, MCTP2, NTSR1, PNKD, ACTR10, CPNE3) 7 down-regulated (IKZF3, TNFRSF25, HDC, HCP5, LYRM4, TFAM, RPS15A). analyses showed that these are mainly involved biological processes related inflammatory response. Compared healthy controls, abundance neutrophils activated mast cells increased group. Most correlated cells, neutrophils, CD8 T resting NK plasma memory B macrophage subtypes. Conclusion By combining bioinformatics analysis, we sepsis, enhancing our understanding genetic pathogenesis providing new insights into therapeutic targets

Язык: Английский

Процитировано

0