Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the global spread of coronavirus disease (COVID-19). Our understanding of the impact this virus has on the nervous system is limited. Our review aims to inform and improve decision-making among the physicians treating COVID-19 by presenting a systematic analysis of the neurological manifestations experienced within these patients. Methods: Any study, released prior to May 20, 2020, that reported neurological manifestations in patients infected by SARS-CoV-2 was systematically reviewed using the PRISMA (Preferred Reporting Items for Systemic review and Meta-Analysis) statement. Results: Our systematic review included data from 37 articles: twelve retrospective studies, two prospective studies, and the rest case reports/series. The most commonly reported neurological manifestations of COVID-19 were myalgia, headache, altered sensorium, hyposmia, and hypogeusia. Uncommonly, COVID-19 can also present with central nervous system manifestations such as ischemic stroke, intracerebral hemorrhage, encephalo-myelitis, and acute myelitis, peripheral nervous manifestations such as Guillain-Barré syndrome and Bell’s palsy, and skeletal muscle manifestations such as rhabdomyolysis. Conclusion: While COVID-19 typically presents as a self-limiting respiratory disease, it has been reported in up to 20% of patients to progress to severe illness with multi-organ involvement. The neurological manifestations of COVID-19 are not uncommon, but our study found most resolve with treatment of the underlying infection. Although the timeliness of this review engages current challenges posed by the COVID-19 pandemic, readers must not ignore the limitations and biases intrinsic to an early investigation.

As a novel discovered regulated cell death pattern, ferroptosis has been associated with the development of Parkinson’s disease (PD) and has attracted widespread attention. Nevertheless, the relationship between ferroptosis and PD pathogenesis is still unclear. This study aims to investigate the effect of iron overload on dopaminergic (DA) neurons and its correlation with ferroptosis. Here we use nerve growth factor (NGF) induced PC12 cells which are derived from pheochromocytoma of the rat adrenal to establish a classical PD in vitro model. We found significantly decreased cell viability in NGF-PC12 cell under ammonium ferric citrate (FAC) administration. Moreover, excessive intracellular iron ions induced the increase of (reactive oxygen species) ROS release as well as the decrease of mitochondrial membrane potential in PC12-NGF cells. In addition, we also found that overloaded iron can activate cell apoptosis and ferroptosis pathways, which led to cell death. Furthermore, MPP-induced PD cells were characterized by mitochondrial shrinkage, decreased expression of glutathione peroxidase 4 (Gpx4) and ferritin heavy chain (FTH1), and increased divalent metal transporter (DMT1) and transferrin receptor 1 (TfR1) expression level. In contrast, Lip-1 and DFO increased the expression level of GPX4 and FTH1 compared to MPP-induced PD cell. In conclusion, we indicated that overloaded intracellular iron contributes to neurons death via apoptosis and ferroptosis pathways, while DFO, an iron chelator, can inhibit ferroptosis in order to protect the neurons in vitro.

Parkinson’s disease (PD) is a common progressive neurodegenerative disorder. Various evidence has revealed the possible penetration of peripheral immune cells in the substantia nigra, which may be essential for PD. Our study uses machine learning (ML) to screen for potential PD genetic biomarkers. Gene expression profiles were screened from the Gene Expression Omnibus (GEO). Differential expression genes (DEGs) were selected for the enrichment analysis. A protein–protein interaction (PPI) network was built with the STRING database (Search Tool for the Retrieval of Interacting Genes), and two ML approaches, namely least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE), were employed to identify candidate genes. The external validation dataset further tested the expression degree and diagnostic value of candidate biomarkers. To assess the validity of the diagnosis, we determined the receiver operating characteristic (ROC) curve. A convolution tool was employed to evaluate the composition of immune cells by CIBERSORT, and we performed correlation analyses on the basis of the training dataset. Twenty-seven DEGs were screened in the PD and control samples. Our results from the enrichment analysis showed a close association with inflammatory and immune-associated diseases. Both the LASSO and SVM algorithms screened eight and six characteristic genes. AGTR1, GBE1, TPBG, and HSPA6 are overlapping hub genes strongly related to PD. Our results of the area under the ROC (AUC), including AGTR1 (AUC = 0.933), GBE1 (AUC = 0.967), TPBG (AUC = 0.767), and HSPA6 (AUC = 0.633), suggested that these genes have good diagnostic value, and these genes were significantly associated with the degree of immune cell infiltration. AGTR1, GBE1, TPBG, and HSPA6 were identified as potential biomarkers in the diagnosis of PD and provide a novel viewpoint for further study on PD immune mechanism and therapy.

Background: Parkinson’s disease (PD) is a common selective and progressive neurodegenerative disorder of nigrostriatal dopaminergic (DA) neurons. Quercetin is a bioflavonoid with antioxidant, anti-inflammatory, anti-aging and anti-cancer properties. However, the exact mechanism by which quercetin exerts its protective effect on DAergic neurons remains unclear. Purpose: To investigate the underlying molecular mechanism of quercetin’s protective effect on DA neurons using 1-methyl-4-phenylpyridinium (MPP+)-induced PD ferroptosis model in vitro. Methods: MPP+ was used to induce cytotoxicity in SH-SY5Y/primary neurons. Cell viability and apoptosis were assessed by CCK-8 assay and flow cytometry. The expression levels of ferroptosis-related proteins (NCOA4, SLC7A11, Nrf2, and GPX4) were determined by Western blotting. Malondialdehyde (MDA), iron, and GPX4 levels were assesed using corresponding assay kits. Lipid peroxidation was assessed by C11-BODIPY staining. Results: In the MPP+-induced ferroptosis model of SH-SY5Y cells, the expressions of SLC7A11 and GPX4 were inhibited, and the expression of NCOA4 protein was increased, causing the overproduction of MDA and lipid peroxidation. Quercetin can reduce the above changes caused by MPP+, that is, reduce the protein expression of NCOA4 in SH-SY5Y cells, increase SLC7A11 and GPX4 partially inhibited by MPP+, and reduce MDA overproduction and lipid peroxidation to protect DA neurons. Nrf2 inhibitor ML385 could inhibit quercetin-induced increase of GPX4 and SLC7A11 protein expression, indicating that the protective effect of quercetin was mediated through Nrf2. Conclusions: The results of this study suggest that quercetin regulates ferroptosis through Nrf2-dependent signaling pathways, thereby inhibiting MPP+-induced neurotoxicity in SH-SY5Y/primary neurons.