Postsynthetically Modified Cationic, Robust MOF Featuring Selective Separation of Carboxylate-Containing Pharmaceutical Drugs from Water at Neutral pH: Elucidation of the Adsorption Mechanism by Theory and Experiments.

The escalating levels of hazardous pharmaceutical contaminants, specifically nonsteroidal anti-inflammatory drugs (NSAIDs), in groundwater reservoir surfaces and surface waterway systems have prompted substantial scientific interest regarding their potential deleterious effects on both aquatic ecosystems and human health. Extraction of those pollutants from wastewater is quite challenging. Hence, the development of economic, sustainable, and scalable techniques for capturing and removing those pollutants is crucial to ensure water safety. Herein, we demonstrate a physicochemically stable, reusable, porous Hf(IV)-based cationic metal-organic framework (MOF), namely, 1'@MeCl for the aqueous phase adsorption-based removal of NSAIDs (diclofenac, naproxen, ibuprofen) from the wastewater environment. The highly positively charged surface of the 1'@MeCl MOF enables it to selectively extract more than 99% of diclofenac, naproxen, and ibuprofen contaminants within less than 30 s. With fast adsorption kinetics, very high adsorption capacities (Qe) were achieved at neutral pH for diclofenac (482.9 mg/g), naproxen (295.9 mg/g), and ibuprofen (219.5 mg/g). Moreover, the influence of changes in pH and coexisting anions on the adsorption property of the 1'@MeCl MOF was studied. Furthermore, the adsorption efficiency of 1'@MeCl in different real water environments was ensured by performing diclofenac, naproxen, and ibuprofen adsorption from tap, river, and lake water. Moreover, a 1'@MeCl-anchored cellulose acetate-chitosan membrane was developed successfully to demonstrate the membrane-based extraction of diclofenac, naproxen, and ibuprofen from contaminated water. Furthermore, a molecular-level mechanistic study was performed through experimental and computational study to propose the plausible adsorption mechanisms for diclofenac, naproxen, and ibuprofen over the surface of 1'@MeCl.

A simplified multiplex PCR-based typing method for common Salmonella enterica serovars supported by online server-based detection system.

BACKGROUND & OBJECTIVES: A rapid and simple alternative method is needed to replace the laborious, time-consuming Salmonella serotyping. The objective of the present study was to improve and simplify a previously reported multiplex polymerase chain reaction (PCR)-based method and to create an online server to enable rapid determination of serovars. METHODS: A method of multiplex PCR-based genome typing (MPGT) was standardized using 59 Salmonella isolates of 31 serovars. Several previously reported primers were modified to obtain a more accurate performance. The screen was separated into four different multiplex reactions distinguishable on standard electrophoresis. A blind study was subsequently performed with 81 isolates of 10 serovars most prevalent in India. Whole genome information from 440 Salmonella isolates was used to confirm the usefulness of this method and concurrence of in silico predictions and PCR results were investigated. A public server (http://www.mpgt-salmonella.res.in) was established for data storage and determination of closest previously observed Salmonella isolates based on obtained MPGT patterns. RESULTS: The 16 target genes amplified showed variability in their presence in strains from different serotypes. Hence, identical amplification patterns suggested genetic relatedness of strains and usually identical serological behaviour. The observed absence/presence patterns of genes were converted to an MPGT code. Altogether, 83 different codes were predicted in silico based on the whole genome information of 440 strains. Results confirmed that major serovars usually displayed unique MPGT codes. INTERPRETATION & CONCLUSIONS: The multiplex PCR assay resulted in specific binary codes for isolates from each of the 31 Salmonella serovars tested. The online server allowed the user to compare obtained PCR results with stored previous patterns. Simplicity, speed and cost-effectiveness make this tool useful for quick outbreak management.

Optimizing Airway Surgery in COVID 19 Era.

Otorhinolaryngologists, particularly dealing with airway cases, are subjected to highest risk of COVID 19 aerosolisation, self infection and transmission. Moreover, airway cases, which mostly present as emergency, cannot be deferred. Being a tertiary airway centre and having received a number of airway cases, most of them requiring prompt surgical intervention, our airway surgery and anaesthesiology team had to work in conjunction to adapt and readapt the practice over the past few months, striving to achieve effective airway surgery protocols, to minimize exposure and prevent transmission of COVID 19. To enlist the encountered airway cases during COVID 19 pandemic and to highlight the important inclusions and adaptations in executing the airway surgeries. A retrospective observational study of 7 months duration was carried out. This is a single institutional study, where the sample included the primary as well the referred airway cases. Apart from Tracheotomy, Foreign body bronchus removal, Dilatation of Laryngotracheal Stenosis (LTS) and excision of Recurrent Respiratory Papillomatosis (RRP), we also have had the experience to deal with congenital Laryngo-tracheo-oesophageal Cleft (LTOC) Type III b, Thyroid surgery to relieve tracheal compression and Bilateral Choanal Atresia repair during the last 7 months. Routine 2 weeks follow up of the patients have been favourable, as there has not been any report or clinical features of transmission of COVID 19. As the airway surgeries could be executed with the incorporation of certain change in practice and as the follow up revealed no evidence of transmission, we attempt to contribute to airway best practice guideline for maintaining the safety of patients and health professionals.

Immunoinformatics mapping of potential epitopes in SARS-CoV-2 structural proteins.

All approved coronavirus disease 2019 (COVID-19) vaccines in current use are safe, effective, and reduce the risk of severe illness. Although data on the immunological presentation of patients with COVID-19 is limited, increasing experimental evidence supports the significant contribution of B and T cells towards the resolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Despite the availability of several COVID-19 vaccines with high efficacy, more effective vaccines are still needed to protect against the new variants of SARS-CoV-2. Employing a comprehensive immunoinformatic prediction algorithm and leveraging the genetic closeness with SARS-CoV, we have predicted potential immune epitopes in the structural proteins of SARS-CoV-2. The S and N proteins of SARS-CoV-2 and SARS-CoVs are main targets of antibody detection and have motivated us to design four multi-epitope vaccines which were based on our predicted B- and T-cell epitopes of SARS-CoV-2 structural proteins. The cardinal epitopes selected for the vaccine constructs are predicted to possess antigenic, non-allergenic, and cytokine-inducing properties. Additionally, some of the predicted epitopes have been experimentally validated in published papers. Furthermore, we used the C-ImmSim server to predict effective immune responses induced by the epitope-based vaccines. Taken together, the immune epitopes predicted in this study provide a platform for future experimental validations which may facilitate the development of effective vaccine candidates and epitope-based serological diagnostic assays.

Exploring rotavirus proteome to identify potential B- and T-cell epitope using computational immunoinformatics.

Rotavirus is the most common cause of acute gastroenteritis in infants and children worldwide. The functional correlation of B- and T-cells to long-lasting immunity against rotavirus infection in the literature is limited. In this work, a series of computational immuno-informatics approaches were applied and identified 28 linear B-cells, 26 conformational B-cell, 44 TC cell and 40 TH cell binding epitopes for structural and non-structural proteins of rotavirus. Further selection of putative B and T cell epitopes in the multi-epitope vaccine construct was carried out based on immunogenicity, conservancy, allergenicity and the helical content of predicted epitopes. An in-silico vaccine constructs was developed using an N-terminal adjuvant (RGD motif) followed by TC and TH cell epitopes and B-cell epitope with an appropriate linker. Multi-threading models of multi-epitope vaccine construct with B- and T-cell epitopes were generated and molecular dynamics simulation was performed to determine the stability of designed vaccine. Codon optimized multi-epitope vaccine antigens was expressed and affinity purified using the E. coli expression system. Further the T cell epitope presentation assay using the recombinant multi-epitope constructs and the T cell epitope predicted and identified in this study have not been investigated. Multi-epitope vaccine construct encompassing predicted B- and T-cell epitopes may help to generate long-term immune responses against rotavirus. The computational findings reported in this study may provide information in developing epitope-based vaccine and diagnostic assay for rotavirus-led diarrhea in children's.