Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by bradykinesia, rigidity, and tremor. Considerable progress has been made to understand the exact mechanism leading to this disease. Most of what is known comes from the evidence of PD brains’ autopsies showing a deposition of Lewy bodies—containing a protein called α-synuclein (α-syn)—as the pathological determinant of PD. α-syn predisposes neurons to neurotoxicity and cell death, while the other associated mechanisms are mitochondrial dysfunction and oxidative stress, which are underlying precursors to the death of dopaminergic neurons at the substantia nigra pars compacta leading to disease progression. Several mechanisms have been proposed to unravel the pathological cascade of these diseases; most of them share a particular similarity: cell-to-cell communication through exosomes (EXOs). EXOs are intracellular membrane-based vesicles with diverse compositions involved in biological and pathological processes, which their secretion is driven by the NLR family pyrin domain-containing three proteins (NLRP3) inflammasome. Toxic biological fibrils are transferred to recipient cells, and the disposal of damaged organelles through generating mitochondrial-derived vesicles are suggested mechanisms for developing PD. EXOs carry various biomarkers; thus, they are promising to diagnose different neurological disorders, including neurodegenerative diseases (NDDs). As nanovesicles, the applications of EXOs are not only restricted as diagnostics but also expanded to treat NDDs as therapeutic carriers and nano-scavengers. Herein, the aim is to highlight the potential incrimination of EXOs in the pathological cascade and progression of PD and their role as biomarkers and therapeutic carriers for diagnosing and treating this neuro-debilitating disorder.

No abstract

Dipeptidyl peptidase 4 (DPP4) inhibitors are a class of antidiabetic medications that cause glucose-dependent increase in incretins in diabetic patients. One of the two incretins, glucagon-like peptide-1 (GLP-1), beside its insulinotropic activity, has been studied for extra pancreatic effects. Most of DPP4 inhibitors (DPP4i) have been investigated in in vivo and in vitro models of diabetic and nondiabetic cardiovascular diseases including heart failure, hypertension, myocardial ischemia or infarction, atherosclerosis, and stroke. Results of preclinical studies proved prominent therapeutic potential of DPP4i in cardiovascular diseases, regardless the presence of diabetes. This review aims to present an updated summary of the cardiovascular protective and therapeutic effects of DPP4 inhibitors through the past 5 years focusing on the molecular mechanisms beneath these effects. Additionally, based on the results summary presented here, future studies may be conducted to elucidate or illustrate some of these findings which can add clinical benefits towards management of diabetic cardiovascular complications.

The novel coronavirus pandemic (COVID-19) caused by SARS-CoV-2 has affected more than 53 million individuals worldwide. Currently, there is a dire need to develop or find potential drugs that can treat SARS-CoV-2 infection. One of the standard methods to accelerate drug discovery and development in pandemics is to screen currently available medications against the critical therapeutic targets to find potential therapeutic agents. The literature has pointed out the 3CLpro and RdRp proteins as the most important proteins involved in viral replications. In the present study, we used an in-silico modeling approach to examine the affinity of six tyrosine kinases inhibitors (TKIs), Imatinib, Ponatinib, Nilotinib, Gefitinib, Erlotinib, and Dasatinibagainst the 3CLpro and RdRp by calculating the energy balance. The six tested TKIs had more than -7 Kcal/mol energy balance values for both viral target proteins. Nilotinib and Ponatinib showed the highest affinity for 3CLpro (-8.32, -8.16, respectively) while Dasatinib, Ponatinib, and Imatinib presented the strongest binding toRdRp(-14.50, -10.57, -9.46, respectively). Based on these findings, we recommend future evaluations of TKIs for SARs-CoV-2 infection in-vitro and further testing in clinical trials.