Taenia solium cysticerci's extracellular vesicles Attenuate the AKT/mTORC1 pathway for Alleviating DSS-induced colitis in a murine model.

The excretory-secretory proteome plays a pivotal role in both intercellular communication during disease progression and immune escape mechanisms of various pathogens including cestode parasites like Taenia solium. The cysticerci of T. solium causes infection in the central nervous system known as neurocysticercosis (NCC), which affects a significant population in developing countries. Extracellular vesicles (EVs) are 30-150-nm-sized particles and constitute a significant part of the secretome. However, the role of EV in NCC pathogenesis remains undetermined. Here, for the first time, we report that EV from T. solium larvae is abundant in metabolites that can negatively regulate PI3K/AKT pathway, efficiently internalized by macrophages to induce AKT and mTOR degradation through auto-lysosomal route with a prominent increase in the ubiquitination of both proteins. This results in less ROS production and diminished bacterial killing capability among EV-treated macrophages. Due to this, both macro-autophagy and caspase-linked apoptosis are upregulated, with a reduction of the autophagy substrate sequestome 1. In summary, we report that T. solium EV from viable cysts attenuates the AKT-mTOR pathway thereby promoting apoptosis in macrophages, and this may exert immunosuppression during an early viable stage of the parasite in NCC, which is primarily asymptomatic. Further investigation on EV-mediated immune suppression revealed that the EV can protect the mice from DSS-induced colitis and improve colon architecture. These findings shed light on the previously unknown role of T. solium EV and the therapeutic role of their immune suppression potential.

Immunoinformatics Approaches for Vaccine Design: A Fast and Secure Strategy for Successful Vaccine Development.

Vaccines are major contributors to the cost-effective interventions in major infectious diseases in the global public health space [...].

Benzotriazole Substituted 2-Phenylquinazolines as Anticancer Agents: Synthesis, Screening, Antiproliferative and Tubulin Polymerization Inhibition Activity.

AIMS: Development of anticancer agents targeting tubulin protein. BACKGROUND: Tubulin protein is being explored as an important target for anticancer drug development. Ligands binding to the colchicine binding site of the tubulin protein act as tubulin polymerization inhibitors and arrest the cell cycle in the G2/M phase. OBJECTIVE: Synthesis and screening of benzotriazole-substituted 2-phenyl quinazolines as potential anticancer agents. METHODS: A series of benzotriazole-substituted quinazoline derivatives have been synthesized and evaluated against human MCF-7 (breast), HeLa (cervical) and HT-29 (colon) cancer cell lines using standard MTT assays. RESULTS: ARV-2 with IC50 values of 3.16 µM, 5.31 µM, 10.6 µM against MCF-7, HELA and HT29 cell lines, respectively displayed the most potent antiproliferative activities in the series while all the compounds were found non-toxic against HEK293 (normal cells). In the mechanistic studies involving cell cycle analysis, apoptosis assay and JC-1 studies, ARV-2 and ARV-3 were found to induce mitochondria-mediated apoptosis. CONCLUSION: The benzotriazole-substituted 2-phenyl quinazolines have the potential to be developed as potent anticancer agents.

Synthesis and screening of novel 4-N-heterocyclic-2-aryl-6,7,8-trimethoxyquinazolines as antiproliferative and tubulin polymerization inhibitors.

Colchicine binding site represent a crucial target for the anticancer drug development especially in view of emerging drug resistance from the currently available chemotherapeutics. A total of 16 novel 4-N-heterocyclic-2-aryl-6,7,8-trimethoxyquinazolines were synthesized and screened for antiproliferative and tubulin polymerization inhibition potential. The synthesized compounds were evaluated against MCF-7, HeLa and HT-29 cancer cell lines and normal cell line HEK-293 T. In the series, 2­aryl group with 4­bromophenyl substitution displayed IC50 values of 6.37 µM, 17.43 µM, 6.76 µM and 4­chlorophenyl substitution displayed IC50 values of 2.16 µM, 8.53 µM, 10.42 µM against MCF-7, HELA and HT29 cancer cell lines, respectively. In the mechanistic studies involving cell cycle analysis, apoptosis assay and JC-1 studies, both the lead compounds were found to induce mitochondria mediated apoptosis and lead molecule with 4­chlorophenyl substitution displayed significant tubulin polymerization inhibition activity. In the computation studies, lead molecule displayed significant binding affinites in the colchicine domain and showed good thermodynamic stability during 100 ns MD simulation studies. 4-N-Heterocyclic-2-aryl-6,7,8-trimethoxyquinazolines showed appreciable drug like characteristics and can be developed as potent anticancer agents.

Immunoinformatic Approaches for Vaccine Designing for Pathogens with Unclear Pathogenesis.

Designing a vaccine against a pathogen has been the toughest challenge to fight against any infectious diseases. To overcome this problem, use of artificial neural network with immuno-informatics is emerging as a front runner solution. For a successful designing of a potent vaccine, prediction of T-cell/B-cell epitopes, antigen processing and presentation analysis, antigenic potential analysis of epitopes, usages of linkers, population coverage, codon optimization, allergenicity assessment, toxicity prediction of construct, and finally protein-peptide docking for stability of vaccine are important steps. To achieve this, several bioinformatics software, tools and online web servers have been developed for each application, which have their own advantages and limitations. Scientists must evaluate these parameters and should take the decision to apply more suitable and precise servers for each analysis and prediction based on their accuracy, suitability, and robustness.

Immunoinformatics driven construction of multi-epitope vaccine candidate against Ascaris lumbricoides using its entire immunogenic epitopes.

OBJECTIVE: Ascaris lumbricoides infects 80 million people per year, causing malnutrition, stunted growth of children etc., but there is no vaccine available against it. We aimed to design a multimeric-subunit vaccine using comprehensive immunoinformatic approach. RESEARCH DESIGN AND METHODS: The T and B cell epitopes were shortlisted on antigenicity, allergenicity, and toxicity from proteome data and joined with appropriate linkers. The physical characteristics of vaccine candidate was calculated and docking/molecular dynamic simulation performed to validate its robustness. The multimeric protein was codon optimized and in-silico cloned in pET28b. RESULTS: From the 23,604 proteins of Ascaris, we filtered based on epitope prediction, localization, antigenicity, and allergenicity. Prepared a vaccine of 534 amino acid long, 56.31 kD weight and pI 4.52. Physiochemical features showed it is soluble, highly antigenic and non-allergenic. Its tertiary structure was forecasted, certified, and refined. The immunoinformatic simulation studies showed it to be potent T and B cell stimulator. CONCLUSIONS: We identified highly antigenic peptides of Ascaris from its proteome with good potential to induce innate as well as humoral immune response. These peptides were used to design a chimeric vaccine against Ascariasis infection, which can be used for prophylactic purpose but needs experimental and clinical validation.

Evaluation of Taenia solium cyst fluid-based enzyme linked immunoelectro transfer blot for Neurocysticercosis diagnosis in urban and highly endemic rural population of North India.

BACKGROUND: Neurocysticercosis (NCC) is infection by cestode Taenia solium/pork tapeworm. Sero-diagnosis of NCC is still a challenge. Radiological imaging (CT/MRI) are cost intensive, requires technical expertise and resource intensive. Hence, its availability is restricted in endemic zone. Existing Enzyme electro immune transfer blot (EITB) antigens are difficult to make and is not standardized for endemic population. Therefore, there is a definite need for easy and reliable EITB tool. METHODS: T. solium metacestode were harvested from naturally infected swine post slaughter. The cyst fluid/vesicular fluid was aspirated and processed with ultracentrifugation and immune blot was performed with this antigen. RESULTS: A total of 406 cases [rural 256 (NCC 78, seizures other than NCC 108 and healthy controls 70); urban 150 (NCC 41, seizures other than NCC 59 and healthy controls 50)] were enrolled. Positive EITB (detection of band <50 kDa) was significantly associated with NCC patients of urban population only (p < 0.001) but not in rural populations (p = 0.292). However, identification of 15 kDa band had significant association with NCC both in urban and rural populations with overall sensitivity of 91.5% and specificity of 91.6%. Presence of 35 kDa band was associated with multiple NCC (p < 0.001). The study shows that 15 kDa reactive band on EITB is highly sensitive and specific for diagnosis of NCC in endemic population. CONCLUSIONS: Presence of 35 kDa band on EITB was associated with infection by multiple cysticerci. The observations demand purification of cyst fluid antigens to develop simple and easy to execute test in field studies.

Unveiling Taenia solium kinome profile and its potential for new therapeutic targets.

Background: Helminth infections cause widespread morbidity and are a significant global disease burden. One among them is Neurocysticercosis, a central nervous system infection caused by the larvae Taenia solium, leading to epilepsy. Helminths are strong immune modulators and can survive for a long time in adverse host environments. Kinases are molecular switches and are essential to initiate/propagate signaling cascades and are detrimental to the regulation of homeostasis. They have been implicated in the progression of many diseases and are potentially lucrative drug targets.Objective: To identify kinases in T. solium proteome and prioritize them as drug targets.Methodology: A Hidden Markov Model (HMM) was used to curate and classify kinases into families based on sequence homology to model organisms followed by phylogenetic analysis of each family. To predict potential drug targets, kinases were identified based on a homologically lethal relationship to C. elegans but non-lethal to humans. Kinases thus selected were searched for matching ligands in SARFkinase and DrugBank databases.Result and conclusion: T. solium kinases make up 1.8% of its proteome, CMGC is the largest kinase family and RGC is the smallest and catalytically inactive family. We predict 23-potential kinases to be drug targets for T. solium.[Figure: see text].