Anti-endotoxin effects of terpenoids fraction from Hygrophila auriculata in lipopolysaccharide-induced septic shock in rats

The Structural, Biological, and In-Silico Profiling of Novel Capryloyl Tetra-Glucoside and Aliphatic Ester Constituents from the Abutilon indicum Offers New Perspectives on the Treatment of Pain and Inflammation

Abutilon indicum L. (Malvaceae), more often referred to as Peeli booti, Kanghi, and Kakhi, is a perennial shrub found in many countries of Asia. Traditionally, this plant is used as a diuretic to treat inflammation, discomfort, urethral infections, and gout. Inflammation and pain are key topics of interest for researchers throughout the globe, since they are linked to almost every illness that could affect humans or animals. The present study was conducted to isolate the phytoconstituents from the methanolic extract of Abutilon indicum collected from the Bihar state Koshi river belt in India, and to evaluate the isolated phytoconstituents' ability to reduce nociception and inflammation. Furthermore, molecular docking was performed to investigate the molecular interaction profile, with possible therapeutic targets for anti-inflammatory medicines. A. indicum methanolic extract yielded two novel phytocompounds identified as 5'-hydroxyhexyl n-hexadecanoate (AB-01) and n-octanoyl-β-D-glucopyranosyl-(2'-1'')-β-D-glucopyranosyl-(2''-1''')-β-D-glucopyranosyl-(2'''-1'''')-β-D-glucopyranoside (AB-05), together with three previously recognized phytocompounds such as ester glucoside. All isolated molecules were tested for the efficacy of analgesic and anti-inflammatory characteristics at doses of 5 and 10 mg/kg body weight. The isolated compound's molecular interaction profile with anti-inflammatory drug targets cyclooxygenase-2 and tumor necrosis factor-alpha possessed high potential energy in molecular docking. These findings may aid in developing anti-inflammatory and analgesic drugs from A. indicum.

Targeting SARS-CoV-2 main protease by teicoplanin: A mechanistic insight by docking, MM/GBSA and molecular dynamics simulation

First emerged in late December 2019, the outbreak of novel severe acute respiratory syndrome corona virus-2 (SARS-CoV-2) pandemic has instigated public-health emergency around the globe. Till date there is no specific therapeutic agent for this disease and hence, the world is craving to identify potential antiviral agents against SARS-CoV-2. The main protease (M^Pro) is considered as an attractive drug target for rational drug design against SARS-CoV-2 as it is known to play a crucial role in the viral replication and transcription. Teicoplanin is a glycopeptide class of antibiotic which is regularly used for treating Gram-positive bacterial infections, has shown potential therapeutic efficacy against SARS-CoV-2 in vitro. Therefore, in this study, a mechanistic insight of intermolecular interactions between teicoplanin and SARS-CoV-2 M^Pro has been scrutinized by molecular docking. Both monomeric and dimeric forms of M^Pro was used in docking involving blind as well as defined binding site based on the known inhibitor. Binding energies of teicoplanin-M^Pro complexes were estimated by Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) computations from docking and simulated trajectories. The dynamic and thermodynamics constraints of docked drug in complex with target proteins under specific physiological conditions was ascertained by all-atom molecular dynamics simulation of 100 ns trajectory. Root mean square deviation and fluctuation of carbon α chain justified the stability of the bound complex in biological environments. The outcomes of current study are supposed to be fruitful in rational design of antiviral drugs against SARS-CoV-2.

Elucidation of Teicoplanin Interactions with Drug Targets Related to COVID-19

Teicoplanin is a glycopeptide antibiotic effective against several bacterial infections, has exhibited promising therapeutic efficiency against COVID-19 in vitro, and the rationale for its use in COVID-19 is yet to be recognized. Hence, in this study a number of molecular modeling techniques were employed to decrypt the mechanistic insight of teicoplanin interaction with several COVID-19 drug targets. Initially, molecular docking was employed to study the teicoplanin interaction with twenty-five SARS-CoV-2 structural and non-structural proteins which was followed by molecular mechanics/generalized Born surface area (MM/GBSA) computation for binding energy predictions of top ten models from each target. Amongst all macromolecular targets, the N-terminal domain of the nucleocapsid protein displayed the strongest affinity with teicoplanin showing binding energies of −7.4 and −102.13 kcal/mol, in docking and Prime MM/GBSA, respectively. Thermodynamic stability of the teicoplanin-nucleocapsid protein was further probed by molecular dynamics simulations of protein–ligand complex as well as unbounded protein in 100 ns trajectories. Post-simulation MM-GBSA computation of 50 frames extracted from simulated trajectories estimated an average binding energy of −62.52 ± 12.22 kcal/mol. In addition, conformational state of protein in complex with docked teicoplanin displayed stable root-mean-square deviation/fluctuation. In conclusion, computational investigation of the potential targets of COVID-19 and their interaction mechanism with teicoplanin can guide the design of novel therapeutic armamentarium for the treatment of SARS-CoV-2 infection. However, additional studies are warranted to establish the clinical use or relapses, if any, of teicoplanin in the therapeutic management of COVID-19 patients.

Identification of compounds with antipyretic effects and anti-endotoxin activity in different species of Lonicera japonica using spectrum-effect correlation

Liquid chromatography (LC) is a common and straight forward approach used in the evaluation of the quality of Traditional Chinese Medicines (TCMs). Quality control is a critical step when systematically assessing the efficacy of TCMs. In the present study, the spectrum-effect correlation method was used to identify pharmacologically active substances. The aim of the present study was to investigate the underlying correlations between common chemical compounds with antipyretic effects and the anti-endotoxin activity of Lonicera japonica. The common chemical constituents of Lonicera japonica were analyzed using LC, and the antipyretic effects and anti-endotoxin activity were determined using ELISAs. Combining the results of bivariate and principal component analysis methods, eight active constituents were qualitatively and quantitatively analyzed. The results of these analyses indicated that neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid and isochlorogenic acids A, B and C served a synergistic role with respect to antipyretic effects and anti-endotoxin activity. The present study lays a foundation for the future clinical use of Lonicera japonica.

An in-silico analysis of ivermectin interaction with potential SARS-CoV-2 targets and host nuclear importin α

Ivermectin (IVM) is a broad-spectrum antiparasitic agent, having inhibitory potential against wide range of viral infections. It has also been found to hamper SARS-CoV-2 replication in vitro, and its precise mechanism of action against SARS-CoV-2 is yet to be understood. IVM is known to interact with host importin (IMP)α directly and averts interaction with IMPβ1, leading to the prevention of nuclear localization signal (NLS) recognition. Therefore, the current study seeks to employ molecular docking, molecular mechanics generalized Born surface area (MM-GBSA) analysis and molecular dynamics simulation studies for decrypting the binding mode, key interacting residues as well as mechanistic insights on IVM interaction with 15 potential drug targets associated with COVID-19 as well as IMPα. Among all COVID-19 targets, the non-structural protein 9 (Nsp9) exhibited the strongest affinity to IVM showing -5.30 kcal/mol and -84.85 kcal/mol binding energies estimated by AutoDock Vina and MM-GBSA, respectively. However, moderate affinity was accounted for IMPα amounting -6.9 kcal/mol and -66.04 kcal/mol. Stability of the protein-ligand complexes of Nsp9-IVM and IMPα-IVM was ascertained by 100 ns trajectory of all-atom molecular dynamics simulation. Structural conformation of protein in complex with docked IVM exhibited stable root mean square deviation while root mean square fluctuations were also found to be consistent. In silico exploration of the potential targets and their interaction profile with IVM can assist experimental studies as well as designing of COVID-19 drugs.

Design and synthesis of pyrazole-pyrazoline hybrids as cancer-associated selective COX-2 inhibitors

In continuation of our previous work on cancer and inflammation, 15 novel pyrazole-pyrazoline hybrids (WSPP1-15) were synthesized and fully characterized. The formation of the pyrazoline ring was confirmed by the appearance of three doublets of doublets in ¹ H nuclear magnetic resonance spectra exhibiting an AMX pattern for three protons (H_A , H_M , and H_X ) of the pyrazoline ring. All the synthesized compounds were screened for their in vitro anticancer activity against five cell lines, that is, MCF-7, A549, SiHa, COLO205, and HepG2 cells, using the MTT growth inhibition assay. 5-Fluorouracil was taken as the positive control in the study. It was observed that, among them, WSPP11 was found to be active against A549, SiHa, COLO205, and HepG2 cells, with IC₅₀ values of 4.94, 4.54, 4.86, and 2.09 µM. All the derivatives were also evaluated for their cytotoxicity against HaCaT cells. WSPP11 was also found to be nontoxic against normal cells (cell line HaCaT), with an IC₅₀ value of more than 50 µM. The derivatives were also evaluated for their in vitro anti-inflammatory activity by the protein (egg albumin) denaturation assay and the red blood cell membrane stabilizing assay, using diclofenac sodium and celecoxib as standard. Compounds that showed significant anticancer and anti-inflammatory activities were further studied for COX-2 inhibition. The manifestation of a higher COX-2 selectivity index of WSPP11 as compared with other derivatives and an in vitro anticancer activity against four cell lines further established that compounds that were more selective toward COX-2 also exhibited a better spectrum of activity against various cancer cell lines.

Nano-engineered nerolidol loaded lipid carrier delivery system attenuates cyclophosphamide neurotoxicity - Probable role of NLRP3 inflammasome and caspase-1

Neuroinflammation is one of the most common etiology in various neurological disorders and responsible for multi-array neurotoxic manifestations such as neurodegeneration, neurotransmitters alteration and cognitive dysfunction. NR (Nerolidol) is a natural bioactive molecule which possesses significant antioxidant and anti-inflammatory potential, but suffers from glitches of low solubility, low bioavailability and fast hepatic metabolism. In the current study, we fabricated nano-engineered lipid carrier of nerolidol (NR-NLC) for its effective delivery into the brain and explored its effect on neuroinflammation, neurotransmitters level and on dysfunctional behavioral attributes induced by CYC (cyclophosphamide). The binding affinity of nerolidol with NLRP3 and TLR-4 was performed which showed stong interaction between them. NR-NLC was prepared by the ultrasonication methods and particle size was determined by Zeta-sizer. Swiss Albino mice were divided into 5 groups (n = 6), assessed for behavioral dysfunction, and sacrificed on the fifteenth day following cyclophosphamide treatment. Brains were then removed and used for biochemical, histopathological, immunohistochemical and fluorescence microscopic analysis. Biochemical analysis showed increased levels of MDA, TNF-α, IL-6, IL-1β, acetylcholine esterase, BDNF, 5-HT and dopamine, and reduced levels of SOD, CAT, GSH, IL-10, along with significant behavioral dysfunction in cyclophosphamide-treated animals. Significant neuronal damage was also observed in the histological study. Immunohistochemical analysis demonstrated increased expression of NLRP3 and caspase-1. Fluorescence microscopic analysis showed significant availability of NR-NLC in the hippocampus and cortex region. In contrast, treatment with NR-NLC effectively mitigated the aforementioned neurotoxic manifestation as compared to NR suspension. Our results showed potent neuroprotective effect of NR-NLC via modulation of oxidative stress, NLRP3 inflammasome, caspase-1 and neurotransmitter status.

Neophytadiene from Turbinaria ornata Suppresses LPS-Induced Inflammatory Response in RAW 264.7 Macrophages and Sprague Dawley Rats

This study investigates the mode of action of Neophytadiene (MT), a molecule isolated from a marine algae Turbinaria ornata in LPS-induced inflammation in both in vitro and in vivo conditions. Neophytadiene (25, 50, 100 μM/mL) was treated to LPS-stimulated RAW 264.7 macrophages cells to identify its anti-inflammatory potential by measuring the level of tumour necrosis factor (TNF-α) by enzyme-linked immunosorbent assay (ELISA) and nitric oxide (NO) using Griess reagent. The mRNA levels of inflammatory cytokines, interleukin (IL-6 and IL-10), and the protein expression of nuclear factor-κB (NF-κB) and inducible nitric oxide synthase (iNOS) were quantified by Western blot analysis. Subsequently, Neophytadiene (12, 25, 50 mg/kg b.wt/p.o) was pre-treated for 7 days to the experimental animals followed by LPS (10 mg/kg) injection interaperitonially. After LPS induction, blood was collected and the haematological parameters were analysed followed by isolation of heart tissue for biochemical molecular and histopathological analysis Neophytadiene significantly inhibited the NO production and inflammatory cytokines TNF-α, IL-6 and IL-10 both in in vitro and in vivo conditions. Further, the expression of TNF-α, IL1β, NF-κB, iNOS, PI3k/Akt and MAPK in the heart tissue was modulated by Neophytadiene significantly confirming the anti-inflammatory potential. Thus, the effect of Neophytadiene on LPS-induced cardiac injury can be attributed to its anti-inflammatory antioxidant and cardioprotective properties.

Zerumbone binding to estrogen receptors: an in-silico investigation

Breast cancer is the most frequent malignancy among females worldwide. Estrogen receptor (ER) mediate important pathophysiological signaling pathways induced by estrogens, and is regarded as a promising target for the treatment of breast cancer. Zerumbone (2,6,9,9-tetramethylcycloundeca-2,6,10-trien-1-one; ZER), a chemical constituent present in the Zingiber zerumbet is known to exhibit anti-breast cancer activity by modulating several proteins to induce apoptosis. Medicinal chemists usually exploit lead compounds of natural origin to develop molecules with improved pharmacological properties. Current study is intended to utilize molecular modeling techniques to investigate the interaction of ZER with estrogen receptors. AutoDock was used to predict the binding modes of ZER and target receptors. Stability of the ZER-ER complex was verified by molecular dynamics simulation using Desmond software. Docked ZER was further optimized by density functional theory (DFT) using Gaussian09 program. Analysis of docked conformations in terms of binding energy disclosed estrogen receptor-β (ERβ) as more promising than estrogen receptor-α (ERα). Evaluation of MD trajectories of ZER bound to both ERα and ERβ showed appreciable stability with minimum Cα-atom root mean square deviation shifts. DFT based global reactivity descriptors such as electron affinity, hardness, chemical potential, electronegativity and electrophilicity index, calculated from the energies of highest occupied and lowest unoccupied molecular orbitals underscored the electronic features governing viability of the ZER for interaction with the target receptors. In conclusion, these findings can be exploited to design and develop novel anticancer agents based on the lead compound, ZER.

Ethnomedicinal, phytochemical and pharmacological updates on Hygrophila auriculata (Schum.) Hiene: an overview

This article explores the most recent evidence-based information on ethnomedicinal, phytochemical and pharmacological understanding of Hygrophila auriculata for the treatment of various diseases and health conditions. Various ethnomedicinal writings suggest the use of the plant or its parts for the treatment of jaundice, oedema, gastrointestinal ailments, diarrhoea, dysentery, urinogenital disorder, gall stones, urinary calculi, kidney stone, leucorrhoea, rheumatism, tuberculosis, anaemia, body pain, constipation, skin disease, and as an aphrodisiac. The plant has been reported to contain flavonoids (apigenin, luteolin, ellagic acid, gallic acid and quercetin), alkaloids (asteracanthine and asteracanthicine), triterpenes (lupeol, lupenone, hentricontane and betulin), sterols (stigmasterol and asterol), minerals, amino acids, fatty acids, aliphatic esters and essential oils. Extracts and bioactive compounds from the plant have been found to possess antimicrobial, anthelmintic, antitermite, nephroprotective, hepatoprotective, central nervous system protective, antitumour, antidiabetic, anticataract, antioxidant, haematopoietic, diuretic, antinociceptive, anti-inflammatory, antipyretic, antimotility, aphrodisiac, neuroprotection, anti-endotoxin and anti-urolithiatic activities. For this paper, we reviewed patents, clinical studies, analytical studies and marketed formulations from the earliest found examples from 1887 to the end of 2017.

NSAIDs as potential treatment option for preventing amyloid β toxicity in Alzheimer's disease: an investigation by docking, molecular dynamics, and DFT studies

Aggregation of amyloid beta (Aβ) protein considered as one of contributors in development of Alzheimer's disease (AD). Several investigations have identified the importance of non-steroidal anti-inflammatory drugs (NSAIDs) as Aβ aggregation inhibitors. Here, we have examined the binding interactions of 24 NSAIDs belonging to eight different classes, with Aβ fibrils by exploiting docking and molecular dynamics studies. Minimum energy conformation of the docked NSAIDs were further optimized by density functional theory (DFT) employing Becke's three-parameter hybrid model, Lee-Yang-Parr (B3LYP) correlation functional method. DFT-based global reactivity descriptors, such as electron affinity, hardness, softness, chemical potential, electronegativity, and electrophilicity index were calculated to inspect the expediency of these descriptors for understanding the reactive nature and sites of the molecules. Few selected NSAID-Aβ fibrils complexes were subjected to molecular dynamics simulation to illustrate the stability of these complexes and the most prominent interactions during the simulated trajectory. All of the NSAIDs exhibited potential activity against Aβ fibrils in terms of predicted binding affinity. Sulindac was found to be the most active compound underscoring the contribution of indene methylene substitution, whereas acetaminophen was observed as least active NSAID. General structural requirements for interaction of NSAIDs with Aβ fibril include: aryl/heteroaryl aromatic moiety connected through a linker of 1-2 atoms to a distal aromatic group. Considering these structural requirements and electronic features, new potent agents can be designed and developed as potential Aβ fibril inhibitors for the treatment of AD.