Exploring the Biomedical Frontiers of Plant-Derived Nanoparticles: Synthesis and Biological Reactions.

As contemporary technology advances, scientists are striving to identify new approaches to managing several diseases. Compared to the more popular physiochemical synthesis, the plant-derived combination of metallic nanoparticles using plant secondary metabolites as a precursor has a number of benefits, including low expenses, low energy consumption, biocompatibility, and medicinal usefulness. This study intends to explore the impacts of using plant-derived synthetic materials including metallic nanoparticles (NPs), emphasizing the benefits of their broad use in next-generation treatments for cancer, diabetes, Alzheimer's, and vector diseases. This comprehensive analysis investigates the potential of plant-derived remedies for diseases and looks at cutting-edge nanoformulation techniques aimed at addressing the function of the nanoparticles that accompany these organic substances. The purpose of the current review is to determine how plant extracts contribute to the synthesis of Silver nanoparticles (AgNPs), Gold nanoparticles (GtNPs), and platinum nanoparticles (PtNPs). It provides an overview of the many phytocompounds and their functions in biomedicine, including antibacterial, antioxidant, anticancer, and anti-inflammatory properties. Furthermore, this study placed a special focus on a range of applications, including drug delivery systems, diagnostics and therapy, the present benefits of nanoparticles (NPs), their biomedical uses in medical technology, and their toxicities.

Long Non-Coding RNAs (lncRNAs) in Heart Failure: A Comprehensive Review.

Heart failure (HF) is a widespread cardiovascular condition that poses significant risks to a wide spectrum of age groups and leads to terminal illness. Although our understanding of the underlying mechanisms of HF has improved, the available treatments still remain inadequate. Recently, long non-coding RNAs (lncRNAs) have emerged as crucial players in cardiac function, showing possibilities as potential targets for HF therapy. These versatile molecules interact with chromatin, proteins, RNA, and DNA, influencing gene regulation. Notable lncRNAs like Fendrr, Trpm3, and Scarb2 have demonstrated therapeutic potential in HF cases. Additionally, utilizing lncRNAs to forecast survival rates in HF patients and distinguish various cardiac remodeling conditions holds great promise, offering significant benefits in managing cardiovascular disease and addressing its far-reaching societal and economic impacts. This underscores the pivotal role of lncRNAs in the context of HF research and treatment.

In silico identification and screening of CYP24A1 inhibitors: 3D QSAR pharmacophore mapping and molecular dynamics analysis.

Vitamin D is a key signalling molecule that plays a vital role in the regulation of calcium phosphate homeostasis and bone remodelling. The circulating biologically active form of vitamin D is regulated by the catabolic mechanism of cytochrome P450 24-hydroxylase (CYP24A1) enzyme. The over-expression of CYP24A1 negatively regulates the vitamin D level, which is the causative agent of chronic kidney disease, osteoporosis and several types of cancers. In this study, we found three potential lead molecules adverse to CYP24A1 through structure-based, atom-based pharmacophore and e-pharmacophore-based screening methods. Analysis was done by bioinformatics methods and tools like binding affinity (binding free energy), chemical reactivity (DFT studies) and molecular dynamics simulation (protein-ligand stability). Combined computational investigation showed that the compounds NCI_95001, NCI_382818 and UNPD_141613 may have inhibitory effects against the CYP24A1 protein.

A computational study on role of 6-(hydroxymethyl)-3-[3,4,5-trihydroxy-6-[(3,4,5-trihydroxyoxan-2-yl)oxymethyl]oxan-2-yl]oxyoxane-2,4,5-triol in the regulation of blood glucose level.

6-(hydroxymethyl)-3-[3,4,5-trihydroxy-6-[(3,4,5-trihydroxyoxan-2-yl)oxymethyl]oxan-2-yl]oxyoxane-2,4,5-triol (SID 242078875) was isolated from the fruits of Syzygium densiflorum Wall. ex Wight & Arn (Myrtaceae), which has been traditionally used in the treatment of diabetes by the tribes of The Nilgiris, Tamil Nadu, India. In this study, reverse pharmacophore mapping approach and text-based database search identified the dipeptidyl peptidase-IV, protein-tyrosine phosphatase 1B, phosphoenolpyruvate carboxykinase, glycogen synthase kinase-3ß and glucokinase as potential targets of SID 242078875 in diabetes management. Further, molecular docking was performed to predict the binding pose of SID 242078875 in the active site region of the target protein. In addition, dynamic behaviour and stability of protein-ligand complexes were observed for a period of 50 ns through molecular dynamics simulation.

Antidiabetic, antihyperlipidaemic, and antioxidant activity of Syzygium densiflorum fruits in streptozotocin and nicotinamide-induced diabetic rats.

Context Syzygium densiflorum Wall. ex Wight & Arn (Myrtaceae) has been traditionally used by local tribes of the Nilgiris, Tamil Nadu, India, for the treatment of diabetes, however, no definitive experimental studies are available. Objective This study investigates the antidiabetic, antihyperlipidaemic and antioxidant activities of ethanol extract of S. densiflorum (EFSD) fruits in streptozotocin (STZ) and nicotinamide (NA)-induced diabetic rats. Materials and methods Acute oral toxicity and oral glucose tolerance were assessed in normal rats. The antidiabetic, antihyperlipidaemic and antioxidant activities were investigated in STZ - NA-induced diabetic rats. Diabetic rats were orally administered with glibenclamide (10 mg/kg b.wt), EFSD (200, 400 and 800 mg/kg b.wt) for 28 d. Further, changes in the blood glucose level (BGL), biochemical parameters, antioxidants were observed and histology of pancreas was performed. Results No toxicity and lethality were observed. Results of the following parameters are represented by treated versus disease control (STZ + NA) groups. BGL (161.33 ± 22.8 versus 476.17 ± 56.58 mg/dl), glycosylated haemoglobin (5.285 ± 0.19 versus 8.05 ± 0.55%), urea (40.32 ± 1.96 versus 75.37 ± 2.91 mg/dl), uric acid (1.2 ± 0.07 versus 2.16 ± 0.05 mg/dl), total cholesterol (89.3 ± 5.14 versus 139.7 ± 5.95 mg/dl) and triglycerides (79.65 ± 2.52 versus 108.9 ± 3.61 mg/dl) were significantly decreased, whereas haemoglobin (11.75 ± 0.73 versus 7.95 ± 0.42 g/dl), high-density lipoprotein cholesterol (14.2 ± 1.11 versus 6.97 ± 0.84 mg/dl), total protein (45%) and liver glycogen (87%) were significantly increased in EFSD-treated diabetic group. Significant changes were observed in the enzymatic and non-enzymatic antioxidants in EFSD-treated groups (p < 0.001). Histopathological examination showed the regeneration of ß-cells in Islets of Langerhans. Conclusion This study confirms the antidiabetic, antihyperlipidaemic and antioxidant activities of S. densiflorum fruits.

Computational insights into the inhibition of influenza viruses by rupestonic acid derivatives: pharmacophore modeling, 3D-QSAR, CoMFA and COMSIA studies.

The pharmacophore modeling and 3D-QSAR studies were performed on a series of amino alkyl rupestonates (Rupestonic Acid) derivatives reported for H1N1, H3N2 and Influenza B virus, NA inhibition. In order to improve the efficacy of amino alkyl rupestonates derivatives, a four point pharmacophore model with one acceptor and three hydrophobic regions was developed. Furthermore, the 3D-QSAR model was generated based on the pharmacophore hypothesis (AHHH) for each subtype. The hypothesis was more significant with R(2)=0.9204, Q(2)=0.917 for H1N1, R(2)=0.8911, Q(2)=0.8905 for H3N2 and R(2)=0.8385, Q(2)=0.7043 for Influenza B virus. The 3D-QSAR results provided an invaluable insight into structure activity correlation and it was shown that the hydrophobic regions were crucial for inhibitory activity. CoMFA and COMSIA validation had been done by leave one out and no validation methods.

Understanding the evolutionary relationship of hemagglutinin protein from influenza viruses using phylogenetic and molecular modeling studies.

The existing H1N1 (2009) swine flu is pandemic in nature and is responsible for global economic losses and fatalities. Among the eight gene segments of H1N1, hemagglutinin (HA) plays a major role in the attachment of the virus to the host cell surface and entry of viral RNA into the host cell leads to infection. In this study, sequence and phylogenetic analysis of the H1N1 (2009) HA, from Mexico City along with 1952 sequences, from different subtypes of pandemic influenza A virus were studied and results showed that the closest relationship of H1N1 (2009) Mexico strain was with the H1N1 (2007) Mallard Norway strain. Analysis of secondary structures predicted from the protein sequence revealed that diminishing of alpha helixes was observed in many areas of the sequences between the years 2005 to 2010. Conversely, analysis at the structural level is necessary to critically assess the functional significance. Structural level investigation was therefore done for the above said proteins by constructing the 3D structure of these proteins through homology modeling. The models were validated and structural level similarities were evaluated through superimposition. Subsequently, docking studies were done to find the binding mode of the sialic acid (SA) with influenza HA. Molecular dynamics simulations were executed to study the interactions of SA molecule with the HA. Energetic analysis reveals that van der Waal interaction is more favorable for binding of HA with SA of the whole influenza virus. Binding pocket analysis shows that intensities of H-bond donor and acceptor are more in H1N1 (2009).

High throughput virtual screening and E-pharmacophore filtering in the discovery of new BACE-1 inhibitors.

Alzheimer's disease is a progressive neurodegenerative disorder, which is characterized by amyloid ß peptide deposition in the brain. Aß peptide, the major component of amyloid plaques is generated by the sequential processing of a larger protein called amyloid Precursor Protein by ß-amyloid cleaving enzyme (BACE-1). In this study, we appllied computer assisted methodology unifying molecular docking and pharmacophore filtering to identify potent inhibitors against BACE-1. In order to inspect the pharmacophore region and binding mode of BACE-1 135 reported co-crystallized ligands of BACE-1 were docked into the active site using Glide XP. The present molecular docking studies provided critical information on protein ligand interactions that revealed imminent information on chemical features essential to inhibiting BACE-1. Based on the docking results we proposed structure based pharmacophore features that hold well as potent BACE-1 inhibitors. A huge set of compounds was docked into the active site of BACE-1 and the hits from the docking were filtered to match the chemical features of the pharmacophore model. The compounds resulting from the pharmacophore filtering were again re-docked into the active site of BACE-1 and the three hits bound well into the active sites and matched the pharmacophore models which were identified as possible potential inhibitors of BACE-1. Molecular dynamics simulation reveals that lead 3 shows constant RMSD and the number of hydrogen bonding with the protein among the identified three lead molecules.