An affordable label-free ultrasensitive immunosensor based on gold nanoparticles deposited on glassy carbon electrode for the transferrin receptor detection.

In recent decades, there has been a concerning and consistent rise in the incidence of cancer, posing a significant threat to human health and overall quality of life. The transferrin receptor (TfR) is one of the most crucial protein biomarkers observed to be overexpressed in various cancers. This study reports on the development of a novel voltammetric immunosensor for TfR detection. The electrochemical platform was made up of a glassy carbon electrode (GCE) functionalized with gold nanoparticles (AuNPs), on which anti-TfR was immobilized. The surface characteristics and electrochemical behaviors of the modified electrodes were comprehensively investigated through scanning electron microscopy, XPS, Raman spectroscopy FT-IR, electrochemical cyclic voltammetry and impedance spectroscopy. The developed immunosensor exhibited robust analytical performance with TfR fortified buffer solution, showing a linear range (LR) response from 0.01 to 3000 µg/mL, with a limit of detection (LOD) of 0.01 µg/mL and reproducibility (RSD <4 %). The fabricated sensor demonstrated high reproducibility and selectivity when subjected to testing with various types of interfering proteins. The immunosensor designed for TfR detection demonstrated several advantageous features, such as being cost-effective and requiring a small volume of test sample making it highly suitable for point-of-care applications.

In Silico Insights into the Arsenic Binding Mechanism Deploying Application of Computational Biology-Based Toolsets.

An assortment of environmental matrices includes arsenic (As) in its different oxidation states, which is often linked to concerns that pose a threat to public health worldwide. The current difficulty lies in addressing toxicological concerns and achieving sustained detoxification of As. Multiple conventional degradation methods are accessible; however, they are indeed labor-intensive, expensive, and reliant on prolonged laboratory evaluations. Molecular interaction and atomic level degradation mechanisms for enzyme-As exploration are, however, underexplored in those approaches. A feasible approach in this case for tackling this accompanying concern of As might be to cope with undertaking multivalent computational methodologies and tools. This work aimed to provide molecular-level insight into the enzyme-aided As degradation mechanism. AutoDock Vina, CABS-flex 2.0, and Desmond high-performance molecular dynamics simulation (MDS) were utilized in the current investigation to simulate multivalent molecular processes on two protein sets: arsenate reductase (ArsC) and laccase (LAC) corresponding arsenate (ART) and arsenite (AST), which served as model ligands to comprehend binding, conformational, and energy attributes. The structural configurations of both proteins exhibited variability in flexibility and structure framework within the range of 3.5-4.5 Å. The LAC-ART complex exhibited the lowest calculated binding affinity, measuring -5.82 ± 0.01 kcal/mol. Meanwhile, active site residues ILE-200 and HIS-206 were demonstrated to engage in H-bonding with the ART ligand. In contrast to ArsC, the ligand binding affinity of this bound complex was considerably greater. Additional validation of docked complexes was carried out by deploying Desmond MDS of 100 ns to capture protein and ligand conformation behavior. The system achieved stability during the 100 ns simulation run, as confirmed by the average P-L RMSD, which was ∼1 Å. As a preliminary test of the enzyme's ability to catalyze As species, corresponding computational insights might be advantageous for bridging gaps and regulatory consideration.

Fabrication of an affordable and sensitive corticosteroid-binding globulin immunosensor based on electrodeposited gold nanoparticles modified glassy carbon electrode.

Herein, we fabricated an ultrasensitive electrochemical immunosensor for the quantitative detection of corticosteroid-binding globulin (CBG). CBG is a protein that regulates glucocorticoid levels and is an important biomarker for inflammation. A decrease in CBG levels is a key biomarker for inflammatory diseases, such as septic shock. To enhance the electrochemical performance and provide a large surface area for anti-CBG immobilization, we functionalized the glassy carbon electrode surface with AuNPs. Electrochemical characterization methods including cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were used to examine the construction of the fabricated immunosensor. The electrochemical signal demonstrated a remarkable sensitivity to the CBG antigen, with a detection range from 0.01 to 100 µg/mL and a limit of detection of 0.012 µg/mL, making it suitable for both clinical and research applications. This label-free immunosensor offers significant advantages, including high sensitivity, low detection limits and excellent selectivity, making it a promising tool for detecting CBG in complex biological samples. Its potential applications include early disease diagnosis, treatment monitoring and studying CBG-related physiological processes.

New paracetamol hybrids as anticancer and COX-2 inhibitors: Synthesis, biological evaluation and docking studies.

Drug repurposing is an emerging field in drug development that has provided many successful drugs. In the current study, paracetamol, a known antipyretic and analgesic agent, was chemically modified to generate paracetamol derivatives as anticancer and anticyclooxygenase-2 (COX-2) agents. Compound 11 bearing a fluoro group was the best cytotoxic candidate with half-maximal inhibitory concentration (IC50 ) values ranging from 1.51 to 6.31 µM and anti-COX-2 activity with IC50 = 0.29 µM, compared to the standard drugs, doxorubicin and celecoxib. The cell cycle and apoptosis studies revealed that compound 11 possesses the ability to induce cell cycle arrest in the S phase and apoptosis in colon Huh-7 cells. These results were strongly supported by docking studies, which showed strong interactions with the amino acids of the COX-2 protein, and in silico pharmacokinetic predictions were found to be favorable for these newly synthesized paracetamol derivatives. It can be concluded that compound 11 could block cell growth and proliferation by inhibiting the COX-2 enzyme in cancer therapy.

Whole genome sequencing analysis and Box-Behnken design for the optimization of the decolourization of mixture textile dyes by halotolerant microbial consortium.

The use of dyes in textile industries has resulted in substantially contaminated soil, water and ecosystem including fauna and flora. So, the application of eco-friendly approach for dyes removal is in great demand. The goal of this research was to develop and test a bacterial consortium for biodegrading dyes in artificial textile effluent (ATE) derived from mixture of Indigo carmine (40 mg/l); Malachite green (20 mg/l); Cotton bleu (40 mg/l); Bromocresol green (20 mg/l) and CI Reactive Red 66 (40 mg/l) dissolved in artificial seawater. The Box-Behnken design (BBD) which combine six variables with three levels each was used to determine the potential removal of dyes in ATE, by the selected microbial consortium (M31 and M69b). The experimental process indicated that decolourization of ATE reached 77.36 % under these conditions values: salinity (30 g/l), pH (9), peptone (5 g/l), inoculum size (1.5 108 CFU/ml), agitation (150 rpm) and contact time (72 h). The decolourization was confirmed by FTIR spectrum analysis of ATE before and after bacterial treatment. Bacterial strains used in this study were identified as Halomonas pacifica M31 and Shewanella algae M69b using 16 rDNA sequences. Moreover, the total genome analysis of M31 and M69b validated the implication of bacterial genes in mixture dyes removal. Therefore, the effect of the selected bacterial consortium on ATE removal was confirmed and it may be used in industrial wastewater treatment to issuing environmental safety.

Association of peptidyl prolyl cis/trans isomerase Rrd1 with C terminal domain of RNA polymerase II.

The largest subunit of RNAPII extends as the conserved unstructured heptapeptide consensus repeats Y1S2P3T4S5P6S7 and their posttranslational modification, especially the phosphorylation state at Ser2, Ser5 and Ser7 of CTD recruits different transcription factors involved in transcription. In the current study, fluorescence anisotropy, pull down assay and molecular dynamics simulation studies employed to conclude that peptidyl-prolyl cis/trans-isomerase Rrd1 has strong affinity for unphosphorylated CTD rather than phosphorylated CTD for mRNA transcription. Rrd1 preferentially interacts with unphosphorylated GST-CTD in comparison to hyperphosphorylated GST-CTD in vitro. Fluorescence anisotropy revealed that recombinant Rrd1 prefers to bind unphosphorylated CTD peptide in comparison to phosphorylated CTD peptide. In computational studies, the RMSD of Rrd1-unphosphorylated CTD complex was greater than the RMSD of Rrd1-pCTD complex. During 50 ns MD simulation run Rrd1-pCTD complex get dissociated twice viz. 20 ns to 30 ns and 40 ns to 50 ns, while Rrd1-unpCTD complex remain stable throughout the process. Additionally, the Rrd1-unphosphorylated CTD complexes acquire comparatively higher number of H-bonds, water bridges and hydrophobic interactions occupancy than Rrd1-pCTD complex, concludes that the Rrd1 interacts more strongly with the unphosphorylated CTD than the pCTD.

Analysis of Interaction Between Odorant Receptors and Flexible Spike of SARS CoV-2- Key to Loss of Smell.

BACKGROUND: The development of a vaccine for SARS-CoV-2 is primarily focused on the structure of the spike (S) protein. The heavy glycosylation of S with flexible hinges at the stalk shields from antibody attachment. OBJECTIVE: This study deciphers the flexible nature of hinges responsible for binding the odorant receptor on neurons responsible for the loss of smell in COVID-19 patients. METHODS: The 3D structure via EPIK in Maestro, protein docking with ligands via Maestro protein analysis tool, and molecular dynamic simulation at 30 ns run using DESMOND was prepared. RESULTS: The data of the study strongly suggest that strong and stable bond formation results from the reaction between R:14: Trp and Phe at the residue, targeting the flexible hinges of SARS-CoV-2. The difference in the conformational structure of the S protein and its binding with the odorant receptor in COVID-19 is the prime factor for the loss of smell and taste in patients, as supported by the concept of Antigen (epitope) Antibody interaction by the stable formation of a hydrogen bond among odorant receptor and the S protein. The flexibility of structural proteins determines the binding potential of antibodies or other defense proteins produced to participate in the antigen-antibody reaction. CONCLUSION: Molecular and atomic details potentiate the design and screening of small molecules that can inhibit the fusion at entry level or odorant receptors and potentially be used in the prevention and treatment of infection, particularly when formulated as nasal drops, paving a new approach for pharmacologists in the treatment of COVID-19 infection.

Computational screening of natural compounds as putative quorum sensing inhibitors targeting drug resistance bacteria: Molecular docking and molecular dynamics simulations.

Quorum sensing (QS) is a bacterial communication strategy controlling cells density, biofilm formation, virulence, sporulation, and survival. Since QS is considered a virulence factor in drug-resistant pathogenic bacteria, inhibition of QS can contribute to control the spread of these bacteria. We propose in this study to test in silico, 19 natural compounds for their potential to inhibit QS transcriptional regulators of Pseudomonas aeruginosa (LasR and PqsE) and Chromobacterium violaceum (CviR and CviR'). Molecular docking was performed to explore the binding energies between selected compounds, and QS signaling proteins. Additionally, molecular dynamics (MD) simulations of the complexes protein-ligand were tested to evaluate the stability of the complexs throughout the simulation process. The simulation interaction diagram (SID) was achieved to compute the radius of gyration (rGyr), solvent accessible surface area (SASA), intramolecular HBs, molecular surface area (MolSA), and polar surface area (PSA). Additionally, the physicochemical properties, pharmacokinetics, drug-likeness, and toxicity analysis of the best-selected compounds were determined. Among these compounds, catechin and nakinadine B were identified as potent QS antagonists that showed the best XP GScore and stable interaction during molecular dynamic simulation. Catechin interacts with LasR and CviR' displaying XP GScore -10.969 kcal/mol and -9.936 kcal/mol respectively. Additionally, nakinadine B interacts with PqsE and CviR giving XP GScore -7.442 kcal/mol and -10.34 kcal/mol respectively. RMSD plot analysis showed that both catechin and nakinadine B were stable during 50 ns simulation time with the tested target proteins. The predictive result of toxicity demonstrated that catechin and nakinadine B doesn't induce cytotoxicity, immunotoxicity, carcinogenicity, mutagenicity, hepatotoxicity and were at medium risk for hERG inhibition. Also they were found to be inactive for androgen receptor and aromatase. These results imply that catechin and nakinadine B may be suggested as QS modulators, which may reduce the virulence factors of drug-resistant bacteria.

Detection of TEM, AmpC, SHV, CTX-M, and MCR-1 Genes in Gram Negative Isolates of Urinary Tract Infections.

BACKGROUND: Urinary tract infection (UTI) is an infection caused by the presence and growth of microorganisms anywhere in the urinary tract. It is usually due to bacteria from the digestive tract which climb the opening of the urethra and begin to multiply to cause infection. However, UTI is more frequent in female than male, because of the short urethra, absence of prostatic secretion, and pregnancy. METHODS: This study was aimed to detect extended spectrum beta lactamase and MCR-1genes from Gram negative bacterial clinical isolates from urinary tract infections. Ninety-one urine samples were collected in this study, then cultured on CLED agar and identified by conventional biochemical methods. Modified Kirby-Bauer method was used for sensitivity testing. Genomic DNA extracted by boiling method, and multiplex PCR was conducted to amplify TEM, AmpC, MCR-1, SHV, and CTX-M genes from all Gram-negative isolates. RESULTS: The result of the susceptibility test revealed that the highest resistant rates were 73% for Ceftazidime, followed by 63%, 56%, and 55% for Ciprofloxacin, Gentamicin, and Co-trimoxazole, respectively, and 21% were resistant to Imipenem. Moreover, for the presence of resistance genes, multiplex PCR results displayed that the TEM gene was present in 34% of bacteria, AmpC gene was found in 49.4% of isolates. Also, 38.5% and 6.6% were positive for MCR-1 gene and SHV gene, respectively. All Proteus species were negative to MCR-1 and TEM genes. Fifty E. coli, 7 Klebsiella pneumonia, two Pseudomonas aeruginosa, and five Proteus species were positive for CTX-M gene and all Citrobacter spp. were negative for CTX-M gene. Eighty-nine isolates were positive for one or more ESBL genes, while two isolates were negative to all genes. CTX-M gene is predominant among uropathogenic bacteria and imipenem is the best effective antibiotic. CONCLUSIONS: This recent study proved that the result of the susceptibility test revealed that the highest resistant rate were 73% for Ceftazidime, followed by 63%, 56%, and 55% for Ciprofloxacin, Gentamicin, and Co-trimoxazole, respectively, and 21% were resistant to imipenem.

In silico modeling of the interaction between TEX19 and LIRE1, and analysis of TEX19 gene missense SNPs.

BACKGROUND: Testis expressed 19 (TEX19) is a specific human stem cell gene identified as cancer-testis antigen (CTA), which emerged as a potential therapeutic drug target. TEX19.1, a mouse paralog of human TEX19, can interact with LINE-1 retrotransposable element ORF1 protein (LIRE1) and subsequently restrict mobilization of LINE-1 elements in the genome. AIM: This study aimed to predict the interaction of TEX19 with LIRE1 and analyze TEX19 missense polymorphisms. TEX19 model was generated using I-TASSER and the interaction between TEX19 and LIRE1 was studied using the HADDOCK software. METHODS: The stability of the docking formed complex was studied through the molecular dynamic simulation using GROMACS. Missense SNPs (n=102) of TEX19 were screened for their potential effects on protein structure and function using different software. RESULTS: Outcomes of this study revealed amino acids that potentially stabilize the predicted interaction interface between TEX19 and LIRE1. Of these SNPs, 37 were predicted to play a probably damaging role for the protein, three of them (F35S, P61R, and E55L) located at the binding site of LIRE1 and could disturb this binding affinity. CONCLUSION: This information can be verified by further in vitro and in vivo experimentations and could be exploited for potential therapeutic targets.