Exploring the hub Genes and Potential Mechanisms of Complement system-related Genes in Parkinson Disease: Based on Transcriptome Sequencing and Mendelian Randomization.

An accurate diagnosis of Parkinson's disease (PD) remains challenging and the exact cause of the disease is unclean. The aims are to identify hub genes associated with the complement system in PD and to explore their underlying molecular mechanisms. Initially, differentially expressed genes (DEGs) and key module genes related to PD were mined through differential expression analysis and WGCNA. Then, differentially expressed CSRGs (DE-CSRGs) were obtained by intersecting the DEGs, key module genes and CSRGs. Subsequently, MR analysis was executed to identify genes causally associated with PD. Based on genes with significant MR results, the expression level and diagnostic performance verification were achieved to yield hub genes. Functional enrichment and immune infiltration analyses were accomplished to insight into the pathogenesis of PD. qRT-PCR was employed to evaluate the expression levels of hub genes. After MR analysis and related verification, CD93, CTSS, PRKCD and TLR2 were finally identified as hub genes. Enrichment analysis indicated that the main enriched pathways for hub genes. Immune infiltration analysis found that the hub genes showed significant correlation with a variety of immune cells (such as myeloid-derived suppressor cell and macrophage). In the qRT-PCR results, the expression levels of CTSS, PRKCD and TLR2 were consistent with those we obtained from public databases. Hence, we mined four hub genes associated with complement system in PD which provided novel perspectives for the diagnosis and treatment of PD.

Effects of sphingolipid metabolism disorders on endothelial cells.

Many cardiovascular disorders, including atherosclerosis, hypertension, coronary heart disease, diabetes, etc., are characterized by endothelial cell dysfunction. Endothelial cell function is closely related to sphingolipid metabolism, and normal sphingolipid metabolism is critical for maintaining endothelial cell homeostasis. Sphingolipid metabolites or key enzymes in abnormal situation, including sphingosine, ceramide (Cer), sphingosine-1-phosphate (S1P), serine, sphingosine kinase (SPHK), ceramide kinase (Cerk), sphingosine-1-phosphate lyase (S1PL) etc., may have a protective or damaging effect on the function of endothelial cells. This review summarizes the effects of sphingolipid metabolites and key enzymes disordering in sphingolipid metabolism on endothelial cells, offering some insights into further research on the pathogenesis of cardiovascular diseases and corresponding therapeutic targets.

Association Between Plasma Total Homocysteine Levels and Risk of Early Hemorrhagic Transformation in Patients with Acute Ischemic Stroke: A Hospital-Based Study.

OBJECTS: In this study, we investigated the association between plasma total homocysteine(tHcy) levels and the risk of early hemorrhagic transformation(HT) in patients with acute ischemic stroke(AIS). METHODS: Consecutive hospitalized participants who met the inclusion criteria were enrolled and grouped according to plasma tHcy levels. Participants were divided into a low homocysteine level(L-tHcy) group (<12 µmol/L) and a high homocysteine level group(H-tHcy) (≥ 12 µmol/L). Baseline computed tomography (CT) examination was performed. HT was determined via CT or magnetic resonance imaging within 1 to 3 days after admission. RESULTS: A total of 1858 patients were screened and 1378 patients completed the this study(797 patients in the H-tHcy group and 581 patients in the L-tHcy group). HT incidence was 5.2% (30/581,) in the L-tHcy group and 11.2% (90/797) in the H-tHcy group(P<0.05). Binary logistic regression analysis showed that initial NIHSS score, tHcy levels, treatment with recombinant tissue plasminogen activator thrombolysis, systolic blood pressure on admission, glucose level on admission, smoking status and estimated glomerular filtration rate were independent risk factors for HT. Receiver operating characteristic analysis showed that tHcy level was a moderately sensitive and specific index to predict the incidence of HT, and the optimal cutoff was 16.56 µmol/L (sensitivity 63.3%, specificity 41.3%). CONCLUSION: Our study findings reveal that high plasma tHcy level is one independent risk factor associated with increased risk of early HT in patients with AIS.