On models of irreducible q-representations of the Lie algebra G(0,1)

AbstractIn this paper, the irreducible q-representations of G(0,1) are discussed. We construct one and two variable models of irreducible q-representations of G(0,1) in terms of q-derivative operator, and derive identities based on it

Endoscopic management of retrocalcaneal pain: a prospective observational study

Background: In an effort to reduce morbidity and complications of open surgery, an endoscopic technique was used for the management of the conditions leading to retrocalcaneal pain. With this purpose, the current study was undertaken to evaluate results of endoscopic management of retrocalcaneal pain using American orthopaedic foot and ankle score (AOFAS).Methods: 20 patients (26 heels) in the age group 18-80 years presenting with retrocalcaneal pain not responding to conservative management underwent endoscopic decompression of the retrocalcaneal bursae and excision of bony spurs. Two portals were created, one laterally and one medially, over the posterosuperior portion of the calcaneus to gain access to the retrocalcaneal space. The inflamed bursal tissue was identified and removed, and the prominent bone was resected. The functional outcome was evaluated pre and postoperatively with the AOFAS.Results: 70% patients have retrocalcaneal bursitis, 20% Haglund’s deformity as confirmed on lateral view of ankle X-ray and only 10% of non-insertional tendinosis. Mean operative time was 54.95 minutes. Mean duration of hospital stay was 3.90±0.64 and the mean follow-up was 66 days (range 30-180 days). The average AOFAS score improved from 65.60 points pre-operatively to 96.80 points at final follow-up. There were fifteen excellent results, seven good results, two fair results and two poor results.Conclusions: Endoscopic procedure for retrocalcaneal bursitis and Haglund deformity seemed to be a safe and efficacious option for surgical treatment of retrocalcaneal pain

Introductory Review of Swarm Intelligence Techniques

With the rapid upliftment of technology, there has emerged a dire need to fine-tune or optimize certain processes, software, models or structures, with utmost accuracy and efficiency. Optimization algorithms are preferred over other methods of optimization through experimentation or simulation, for their generic problem-solving abilities and promising efficacy with the least human intervention. In recent times, the inducement of natural phenomena into algorithm design has immensely triggered the efficiency of optimization process for even complex multi-dimensional, non-continuous, non-differentiable and noisy problem search spaces. This chapter deals with the Swarm intelligence (SI) based algorithms or Swarm Optimization Algorithms, which are a subset of the greater Nature Inspired Optimization Algorithms (NIOAs). Swarm intelligence involves the collective study of individuals and their mutual interactions leading to intelligent behavior of the swarm. The chapter presents various population-based SI algorithms, their fundamental structures along with their mathematical models.Comment: Submitted to Springe

Withania somnifera: Progress towards a Pharmaceutical Agent for Immunomodulation and Cancer Therapeutics

Chemotherapy is one of the prime treatment options for cancer. However, the key issues with traditional chemotherapy are recurrence of cancer, development of resistance to chemotherapeutic agents, affordability, late-stage detection, serious health consequences, and inaccessibility. Hence, there is an urgent need to find innovative and cost-effective therapies that can target multiple gene products with minimal adverse reactions. Natural phytochemicals originating from plants constitute a significant proportion of the possible therapeutic agents. In this article, we reviewed the advances and the potential of Withania somnifera (WS) as an anticancer and immunomodulatory molecule. Several preclinical studies have shown the potential of WS to prevent or slow the progression of cancer originating from various organs such as the liver, cervix, breast, brain, colon, skin, lung, and prostate. WS extracts act via various pathways and provide optimum effectiveness against drug resistance in cancer. However, stability, bioavailability, and target specificity are major obstacles in combination therapy and have limited their application. The novel nanotechnology approaches enable solubility, stability, absorption, protection from premature degradation in the body, and increased circulation time and invariably results in a high differential uptake efficiency in the phytochemical\u27s target cells. The present review primarily emphasizes the insights of WS source, chemistry, and the molecular pathways involved in tumor regression, as well as developments achieved in the delivery of WS for cancer therapy using nanotechnology. This review substantiates WS as a potential immunomodulatory, anticancer, and chemopreventive agent and highlights its potential use in cancer treatment

Antibody-Drug Conjugates for Cancer Therapy: Chemistry to Clinical Implications

Chemotherapy is one of themajor therapeutic options for cancer treatment. Chemotherapy is often associated with a low therapeutic window due to its poor specificity towards tumor cells/tissues. Antibody-drug conjugate (ADC) technology may provide a potentially new therapeutic solution for cancer treatment. ADC technology uses an antibody-mediated delivery of cytotoxic drugs to the tumors in a targeted manner, while sparing normal cells. Such a targeted approach can improve the tumor-to-normal tissue selectivity and specificity in chemotherapy. Considering its importance in cancer treatment, we aim to review recent efforts for the design and development of ADCs. ADCs are mainly composed of an antibody, a cytotoxic payload, and a linker, which can offer selectivity against tumors, anti-cancer activity, and stability in systemic circulation. Therefore, we have reviewed recent updates and principal considerations behind ADC designs, which are not only based on the identification of target antigen, cytotoxic drug, and linker, but also on the drug-linker chemistry and conjugation site at the antibody. Our review focuses on site-specific conjugation methods for producing homogenous ADCs with constant drug-antibody ratio (DAR) in order to tackle several drawbacks that exists in conventional conjugation methods

Exploration of potential natural inhibitors against KRAS-G12D in PanCan: Protein centered pharmacophore HTVS approach.

Background: As per key statistics of American Cancer Society 2021, Pancreatic Cancer (PanCan) affects around 60,430 persons a year in the U.S. and is tricky to diagnose & treat. Studies revealed that African Americans have a 50–90% higher incidence of PanCan compared to other ethnic groups. Oncogenic KRAS mutation is the signature genetic incident in the progression and development of PDAC. KRAS is the most common protein which is 95% times mutated in PDAC condition. By considering this alarming situation our group is now focused on to develop therapeutic portfolio against KRAS-G12D mutation associated PanCan by using high through-put virtual screening (HTVS) approach. Methodology: In this study, prompt HTVS for vetting the best possible drug candidates from natural compound (NCs) databases has been implemented. Herein, time tested rigorous multi-layered drug screening process to narrow down 66,969 NCs for the identification of potential lead(s) is implemented. Druggability parameters, protein centered pharmacophore-based drug selections & different docking approaches (Rigid & Flexible) were employed in this study. Result: By using different NCs databases around 66,969 NCs were screened based on protein-centered pharmacophore fit score & binding energies. Less than 0.001% of potential NCs were selected against the known & reference KRAS-G12D inhibitor (BI2852). Conclusion: By using HTVS approach we have identified a pool of natural inhibitors against KRAS G12D

Redox-responsive nano-self assemblies for targeted cancer therapeutics

Background: Despite significant advances in cancer therapeutics, it remains one of the leading causes of deaths due to poor response to available treatment modalities and drug resistance. Combination therapy has shown the potential to provide a synergistic therapeutic effect and to overcome drug resistance. However, smart delivery systems that can improve the bioavailability and the delivery of multiple hydrophobic anti-cancer drugs simultaneously at the tumor site without normal organ toxicity could be an effective strategy for cancer treatment. Methods: Here, a PEGylated drug-drug conjugate (CUR-PEG-S-S-CPT) have been successfully synthesized by conjugating two hydrophobic anti-cancer molecules, curcumin and camptothecin through an ester and a redox-sensitive disulfide linkage (-S-S-), respectively, with the PEG chain, via in situ two-step reaction. This amphiphilic polymeric-dual drug conjugate was characterized in the presence and absence of the tannic acid (TA, a physical crosslinker) using various in vitro biophysical, analytical, and functional bioassays. Results: The newly synthesized amphiphilic CUR-PEG-S-S-CPT polymer was found to spontaneously self-assembled in presence of tannic acid into anionic comparatively smaller sized stable nano-assemblies in water in comparison to parent conjugate, where the drug forms hydrophobic core of the particle with negative chirality and left-handed helical arrangement. TA, in addition to help forming stable nano-assemblies in water, it was able produce FRET pair in water between these two anticancer drugs. These nano-assemblies exhibited enhanced cellular uptake and antiproliferative effect in cancer cells (AsPC1 and SW480) in comparison to the individual drugs. Interestingly, our nanoassemblies showed preferential cleavage, breakdown and release of drugs in tumor-relevant redox environment leading to disappearance of the FRET signal, thus can be highly effective for targeted cancer treatment. Conclusions: Our promising in vitro results with novel redox stimuli-responsive (CUR-PEG-S-S-CPT) conjugate system in presence of TA can be a highly useful advanced theranostic platform for effective cancer treatment/management

In silico CD4 + T-cell multiepitope prediction and HLA distribution analysis for Marburg Virus—A strategy for vaccine designing

Marburg, a RNA virus (MRV), is responsible for causing hemorrhagic fever that affects humans and non-human primates. World Health Organization (WHO), National Institutes of Health (NIH) and Centre of Disease Control and Prevention (CDC) considered this as an extremely dangerous virus, thus categorised as risk group 4, category A priority pathogen and category “A” bioterrorism agent, respectively. Despite of all these alarming concerns, no prophylaxis arrangements are available against this virus till date. In fact, the construction of immunogenic vaccine candidates by traditional molecular immunology methods is time consuming and very expensive. Considering these concerns, herein, we have designed CD4 + T Cell multiepitopes against MRV using in silico approach. The pin-point criteria of the screening and selection of potential epitopes are, non-mutagenic, antigenic, large HLAs coverage, non-toxic and high world population coverage. This kind of methodology and investigations can precisely reduce the expenditure and valuable time for experimental planning in development of vaccines in laboratories. In current scenario, researchers are frequently using in silico approaches to speed up their vaccine-based lab studies. The computational studies are highly valuable for the screening of large epitope dataset into smaller one prior to in vitro and in vivo confirmatory analyses

Tannic acid inhibits lipid metabolism and induce ROS in prostate cancer cells

Prostate cancer (PCa) cells exploit the aberrant lipid signaling and metabolism as their survival advantage. Also, intracellular storage lipids act as fuel for the PCa proliferation. However, few studies were available that addressed the topic of targeting lipid metabolism in PCa. Here, we assessed the tannic acid (TA) lipid-targeting ability and its capability to induce endoplasmic reticulum (ER) stress by reactive oxygen species (ROS) in PCa cells. TA exhibited dual effects by inhibiting lipogenic signaling and suppression of lipid metabolic pathways. The expression of proteins responsible for lipogenesis was down regulated. The membrane permeability and functionality of PCa were severely affected and caused nuclear disorganization during drug exposure. Finally, these consolidated events shifted the cell’s survival balance towards apoptosis. These results suggest that TA distinctly interferes with the lipid signaling and metabolism of PCa cells

Smoking and Drinking Activates NF-κB /IL-6 Axis to Promote Inflammation During Cervical Carcinogenesis

Background: High-risk strains of HPV are known to cause cervical cancer. Multiple clinical studies have emphasized that smoking and drinking are critical risk factors for cervical cancer and its high-grade precursors. In this study, we investigated the molecular mechanisms involved in the interplay of smoking and/or drinking with HPV infectivity and defined a systematic therapeutic approach for their attenuation in cervical cancer. Methods: The impact of benzo[a]pyrene (B[a]P) and/or ethanol (EtOH) exposure on cervical cancer cells was assessed by measuring changes in cell proliferation, clonogenicity, biophysical properties, cell migration, and invasion. Expression of HPV16 E6/E7, NF-κB, cytokines, cell cycle, and inflammation mediators was determined using qRT-PCR, immunoblotting, ELISA, luciferase reporter assay and confocal microscopy. Results: The exposure of cervical cancer cells to B[a]P and/or EtOH altered the expression of HPV16 E6/E7 oncogenes and EMT markers; it also enhanced cellular clonogenicity, migration, and invasion. In addition, B[a]P and/or EtOH exposure promoted inflammation pathways through TNF-α and NF-κB signaling, leading to IL-6 upregulation and activation of VEGFA. These molecular effects caused by B[a]P and/or EtOH exposure were effectively attenuated by Cur/PLGA-Cur. Conclusion: These data suggest a molecular link between smoking, drinking, and HPV infectivity in cervical carcinogenesis. However, these events were determined to be attenuated by treatment with Cur/PLGA-Cur treatment, implying its role in cervical cancer prevention/treatment