Jun Chen

Prostaglandin D2 synthase (PTGDS) is the enzyme responsible for synthesizing prostaglandin D2. Despite its crucial role, PTGDS remains relatively understudied in tumor therapy, and comprehensive pancancer analyses are lacking. By leveraging multiomics data integration, this study elucidated the widespread dysregulation of PTGDS across various cancers and its correlation with patient survival. Moreover, PTGDS is significantly associated with stem cell scores, microenvironmental scores, microsatellite instability (MSI) status, tumor mutational burden (TMB), and methylation status in diverse tumor types. Additionally, immune correlations with PTGDS are evident across most cancers, with single-cell transcriptome data indicating predominant associations with natural killer cells and macrophages. Notably, experimental validation revealed the role of PTGDS in inhibiting A549 and H1975 lung adenocarcinoma cell proliferation, which was mediated by fatty acid degradation and cell cycle regulation. In summary, PTGDS has prognostic potential, influences pancancer tumor immunity, and acts as a tumor suppressor in lung adenocarcinoma (LUAD).

Retinopathy can be observed in most ocular diseases and the late complications of diabetes mellitus. The specific pigment epithelial cells and optic ... Jove

Background: The co-occurrence of primary biliary cholangitis (PBC) and systemic lupus erythematosus (SLE) has been consistently reported in observational studies. Nevertheless, the underlying causal correlation between these two conditions still needs to be established.Methods: We performed a bidirectional two-sample Mendelian randomization (MR) study to assess their causal association. Five MR analysis methods were utilized for causal inference, with inverse-variance weighted (IVW) selected as the primary method. The Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) and the IVW Radial method were applied to exclude outlying SNPs. To assess the robustness of the MR results, five sensitivity analyses were carried out. Multivariable MR (MVMR) analysis was also employed to evaluate the effect of possible confounders. In addition, we integrated transcriptomic data from PBC and SLE, employing Weighted Gene Co-expression Network Analysis (WGCNA) to explore shared genes between the two diseases. Then, we used Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment methods to perform on the shared genes. The Least Absolute Shrinkage and Selection Operator (LASSO) regression algorithm was utilized to identify potential shared diagnostic genes. Finally, we verified the potential shared diagnostic genes in peripheral blood mononuclear cells (PBMCs)-specific cell populations of SLE patients by single-cell analysis.Results: Our MR study provided evidence that PBC had a causal relationship with SLE (IVW, OR: 1.347, 95% CI: 1.276 - 1.422, P < 0.001) after removing outliers (MR-PRESSO, rs35464393, rs3771317; IVW Radial, rs11065987, rs12924729, rs3745516). Conversely, SLE also had a causal association with PBC (IVW, OR: 1.225, 95% CI: 1.141 - 1.315, P < 0.001) after outlier correction (MR-PRESSO, rs11065987, rs3763295, rs7774434; IVW Radial, rs2297067). Sensitivity analyses confirmed the robustness of the MR findings. MVMR analysis indicated that body mass index (BMI), smoking and drinking were not confounding factors. Moreover, bioinformatic analysis identified PARP9, ABCA1, CEACAM1, and DDX60L as promising diagnostic biomarkers for PBC and SLE. These four genes are highly expressed in CD14+ monocytes in PBMCs of SLE patients and potentially associated with innate immune responses and immune activation.Conclusion: Our study confirmed the bidirectional causal relationship between PBC and SLE and identified PARP9, ABCA1, CEACAM1, and DDX60L genes as the most potentially shared diagnostic genes between the two diseases, providing insights for the exploration of the underlying mechanisms of these disorders.