Green nanoparticles as multifunctional nanomedicines: Insights into anti-inflammatory effects, growth signaling and apoptosis mechanism in cancer.

Recently, green nanotechnology got great attention due to their reliable, sustainable, and eco-friendly synthesis protocols. The green nanoparticles (GNPs) are preferred over chemically synthesized nanoparticles owing to less destructive effects associated with the synthesis procedures as well as therapeutic involvement. In this review, we have discussed the applications of GNPs in inflammation-mediated disorders, with special emphasis on cancer, initiated due to oxidative stress and inflammatory cascade. Real-time mechanism based studies on GNPs have suggested their anticancer effects through inducing apoptosis, inhibiting angiogenesis, tissue invasion metastasis, reduced replicative capabilities in addition to target specific different signaling molecules and cascades involved in the development or progression of cancer. Moreover, the association of GNPs with the inhibition or induction of autophagy for the management of cancer has also been discussed. A large number of studies showed the GNPs have multifunctional biomedical properties of theranostic prominence. Therefore, the development of GNPs with naturally established systems could upsurge their definite applications as biomedicines including target specific destruction of the cancerous cells.

The diabetic brain and cognition.

The prevalence of both Alzheimer's disease (AD) and vascular dementia (VaD) is increasing with the aging of the population. Studies from the last several years have shown that people with diabetes have an increased risk for dementia and cognitive impairment. Therefore, the authors of this consensus review tried to elaborate on the role of diabetes, especially diabetes type 2 (T2DM) in both AD and VaD. Based on the clinical and experimental work of scientists from 18 countries participating in the International Congress on Vascular Disorders and on literature search using PUBMED, it can be concluded that T2DM is a risk factor for both, AD and VaD, based on a pathology of glucose utilization. This pathology is the consequence of a disturbance of insulin-related mechanisms leading to brain insulin resistance. Although the underlying pathological mechanisms for AD and VaD are different in many aspects, the contribution of T2DM and insulin resistant brain state (IRBS) to cerebrovascular disturbances in both disorders cannot be neglected. Therefore, early diagnosis of metabolic parameters including those relevant for T2DM is required. Moreover, it is possible that therapeutic options utilized today for diabetes treatment may also have an effect on the risk for dementia. T2DM/IRBS contribute to pathological processes in AD and VaD.

Anti-cancer Effects of Metformin: Recent Evidences for its Role in Prevention and Treatment of Cancer.

BACKGROUND: Metformin is widely used for management of Type 2 Diabetes Mellitus (T2DM). Recently growing evidences have shown its anti-cancer effects. The results are mainly from observational studies and thus few information is available concerning the mechanisms of action. METHOD: This paper reviews recent available evidences for anti-cancer effects of metformin. The effects of metformin in specific cancers including colorectal, prostate, pancreatic, renal, cervical, endometrial, gastric, lung, breast, and ovarian cancer are reviewed. RESULTS: Adenosine Monophosphate (AMP)-Activated Protein Kinase (AMPK) plays an important role in mechanism of action of metformin. The anti-cancer mechanisms of metformin include direct and indirect effects. The direct effects of metformin include AMPK-independent and AMPK-dependent effects whereas decrease in glucose level, hyperinsulinemia, and Insulin-like Growth Factor 1 (IGF-1) level are considered its indirect effects. Metformin also decreases both pro-inflammatory cytokines and Nuclear Factor kappa-light-chain-enhancer of activated B cells (NF- κB) and improves the immune response to cancer cells. CONCLUSION: Although the results of recent trials confirm the efficacy of metformin in prevention and treatment of different cancers, the evidences are not adequate enough.

Pharmacophore-Based Virtual Screening for Identification of Novel Neuraminidase Inhibitors and Verification of Inhibitory Activity by Molecular Docking.

Oseltamivir and Zanamivir are two of the recently licensed neuraminidase inhibitors used for the treatment of influenza. However, alternative antiviral agents are needed due to the development of resistant mutations in Oseltamivir subtype H1N1 and H5N1 avian influenza A viruses, the latter being a highly pathogenic avian virus that can be transferred to humans upon immediate contact with H5N1 infected poultry or surface. Novel drug inhibiting group 1 neuraminidases may potentially be developed through addition of extra substituent moieties to existing inhibitor skeletons. Another approach involves virtual screening of existing inhibitor skeletons which we have reported using novel ligands of H5N1 via virtual screening approach. In this study, we have used 3D structure of avian influenza virus H5N1 neuraminidase as target against a ligand dataset of four known neuraminidase inhibitors for in silico analysis. Using the dataset of known four inhibitors, a pharmacophore model was developed using ligand-based pharmacophore modeling strategy. This pharmacophore model was then used for virtual screening of natural compounds library taken from Princeton database. New hits that shared features of our pharmacophore model and binding interactions with receptor residues have been reported in this study. As more antiviral agents are required, the reported hits in our study may play an important role as novel antiviral agents against influenza virus.

In silico Screening for Identification of Novel Anti-malarial Inhibitors by Molecular Docking, Pharmacophore Modeling and Virtual Screening.

OBJECTIVE: Drug resistance from affordable drugs has increased the number of deaths from malaria globally. This problem has raised the requirement to design new drugs against multidrug-resistant Plasmodium falciparum parasite. METHODS: In the current project, we have focused on four important proteins of Plasmodium falciparum and used them as receptors against a dataset of four anti-malarial drugs. In silico analysis of these receptors and ligand dataset was carried out using Autodock 4.2. A pharmacophore model was also established using Ligandscout. RESULTS: Analysis of docking experiments showed that all ligands bind efficiently to four proteins of Plasmodium falciparum. We have used ligand-based pharmacophore modeling and developed a pharmacophore model that has three hydrophobic regions, two aromatic rings, one hydrogen acceptor and one hydrogen donor. Using this pharmacophore model, we have screened a library of 50,000 compounds. The compounds that shared features of our pharmacophore model and exhibited interactions with the four proteins of our receptors dataset are short-listed. CONCLUSION: As there is a need of more anti-malarial drugs, therefore, this research will be helpful in identifying novel anti-malarial drugs that exhibited bindings with four important proteins of Plasmodium falciparum. The hits obtained in this study can be considered as useful leads in anti-malarial drug discovery.

Synopsis on the linkage of Alzheimer's and Parkinson's disease with chronic diseases.

Neurodegeneration is the progressive loss of neuronal structure and function, which ultimately leads to neurological disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), multiple sclerosis, and Huntington's disease. Even after the recent significant advances in neurobiology, the above-mentioned disorders continue to haunt the global population. Several studies have suggested the role of specific environmental and genetic risk factors associated with these disorders. However, the exact mechanism associated with the progression of these disorders still needs to be elucidated. In the recent years, sophisticated research has revealed interesting association of prominent neurodegenerative disorders such as AD and PD with chronic diseases such as cancer, diabetes, and cardiovascular diseases. Several common molecular mechanisms such as generation of free radicals, oxidative DNA damage, aberrations in mitochondrial DNA, and dysregulation of apoptosis have been highlighted as possible points of connection. The present review summarizes the possible mechanism of coexistence of AD and PD with other chronic diseases.

Alzheimer disease and type 2 diabetes mellitus: the link to tyrosine hydroxylase and probable nutritional strategies.

Alzheimer disease (AD) and type 2 diabetes mellitus (T2DM) are chronic health disorders that affect millions of people around the world. According to recent studies, there are molecular similarities in the inflammatory pathways involved in both AD and T2DM, which opens a new avenue for researchers with different perspectives to target the cause of these diseases rather than their obvious symptoms. Several links between inflammation, cardiovascular disease, T2DM and central nervous system disorders such as AD and Parkinson's disease have been elucidated. Mutations in the hippocampal-ß-amyloid precursor protein gene in genetically high-risk individuals have been shown to cause the early onset of AD symptoms. The overexpression of ß-amyloid protein in the hippocampal region and the synaptotoxicity that occurs as a result have been considered a typical feature of AD and leads to neuronal loss and cognitive decline. However, the identity of the cellular components that cause the late onset of the disease seen in the majority of the cases is still unknown. Synaptic insults associated with neuronal dysfunction may involve several cascades and molecules, one of which has been hypothesized to be tyrosine hydroxylase (TH). The axons of the noradrenergic cells that project to the hippocampus appear to be affected by the ß-amyloid protein, which subsequently contributes to TH loss in Alzheimer brain cells. In this review, we attempt to shed light on the important mechanisms involved in AD as well as T2DM such as inflammatory factors, abnormalities in the insulin signaling system and the possible role of the endocrine enzyme TH.