Glycolytic reprograming in Salmonella counters NOX2-mediated dissipation of ΔpH.

The microbial adaptations to the respiratory burst remain poorly understood, and establishing how the NADPH oxidase (NOX2) kills microbes has proven elusive. Here we demonstrate that NOX2 collapses the ΔpH of intracellular Salmonella Typhimurium. The depolarization experienced by Salmonella undergoing oxidative stress impairs folding of periplasmic proteins. Depolarization in respiring Salmonella mediates intense bactericidal activity of reactive oxygen species (ROS). Salmonella adapts to the challenges oxidative stress imposes on membrane bioenergetics by shifting redox balance to glycolysis and fermentation, thereby diminishing electron flow through the membrane, meeting energetic requirements and anaplerotically generating tricarboxylic acid intermediates. By diverting electrons away from the respiratory chain, glycolysis also enables thiol/disulfide exchange-mediated folding of bacterial cell envelope proteins during periods of oxidative stress. Thus, primordial metabolic pathways, already present in bacteria before aerobic respiration evolved, offer a solution to the stress ROS exert on molecular targets at the bacterial cell envelope

Big Data in Food: Systematic Literature Review and Future Directions

The growing importance of Big Data in the food industry enables businesses to leverage information to gain a competitive advantage. This paper provides a systematic literature review (SLR) to provide an insight into the use of state-of-art of Big Data applications in the food industry. The SLR relies on available literature that provides the context, theoretical construct and identifies gaps. Based on the findings, we suggest recommendations, identify limitations and suggest policy implications and future directions. Using search databases were examined and 38 relevant studies were identified for retrospective analysis. The review shows that Big Data supports the food industry in ways that enable using Artificial Intelligence to manage restaurants and mobile based applications in supporting consumers with restaurant selection. This SLR open new avenues for future research in the importance of Big Data in the food industry, which will surely help researchers/practitioners in effective utilization of Big DataBig Data

Investigating the Intention of Tourists to Travel to the World Heritage Destination: The Mediating Role of Familiarity

This study investigates the intention of tourists to travel to the Great Himalayan National Park (GHNP) in India, a conservation area of natural bio-diversity that was accorded World Heritage Site status in 2014. The main constructs that have been used in the study are an image of the destination, homestay preference, destination familiarity and intention to travel. The S-O-R framework has been further used to find the tourists’ intention to travel to GHNP. A closed-ended questionnaire was administered to 1,020 respondents in India. The results show that path coefficients for all constructs are statistically significant. Tourists’ intention to travel is likely to be influenced by the destination image and the preference for a local homestay, which is mediated by destination familiarity. The study is not longitudinal and sheds light on respondents’ perceptions for a specific time period. Policymakers must design policies that focus on developing campaigns that promote lesser-known destinations, thus ensuring a positive destination image and enhancing destination familiarity by providing authentic information. Such a shift in tourism will foster employment in rural and less-known areas of natural beauty. Further, tourists’ preference to stay in homestay arrangements allows them to experience local hospitality

Lactoylglutathione lyase, a critical enzyme in methylglyoxal detoxification, contributes to survival of Salmonella in the nutrient rich environment

Glyoxalase I which is synonymously known as lactoylglutathione lyase is a critical enzyme in methylglyoxal (MG) detoxification. We assessed the STM3117 encoded lactoylglutathione lyase (Lgl) of Salmonella Typhimurium, which is known to function as a virulence factor, due in part to its ability to detoxify methylglyoxal. We found that STM3117 encoded Lgl isomerises the hemithioacetal adduct of MG and glutathione (GSH) into S-lactoylglutathione. Lgl was observed to be an outer membrane bound protein with maximum expression at the exponential growth phase. The deletion mutant of S. Typhimurium (lgl) exhibited a notable growth inhibition coupled with oxidative DNA damage and membrane disruptions, in accordance with the growth arrest phenomenon associated with typical glyoxalase I deletion. However, growth in glucose minimal medium did not result in any inhibition. Endogenous expression of recombinant Lgl in serovar Typhi led to an increased resistance and growth in presence of external MG. Being a metalloprotein, Lgl was found to get activated maximally by Co2+ ion followed by Ni2+, while Zn2+ did not activate the enzyme and this could be attributed to the geometry of the particular protein-metal complex attained in the catalytically active state. Our results offer an insight on the pivotal role of the virulence associated and horizontally acquired STM3117 gene in non-typhoidal serovars with direct correlation of its activity in lending survival advantage to Salmonella spp

Cells Producing Their Own Nemesis: Understanding Methylglyoxal Metabolism

Methylglyoxal, which is technically known as 2-oxopropanal or pyruvaldehyde, shows typical reactions of carbonyl compounds as it has both an aldehyde and a ketone functional group. It is an extremely cytotoxic physiological metabolite, which is generated by both enzymatic and nonenzymatic reactions. The deleterious nature of the compound is due to its ability to glycate and crosslink macromolecules like protein and DNA, respectively. However, despite having toxic effects on cellular processes, methylglyoxal retains its efficacy as an anticancer drug. Indeed, methylglyoxal is one of the well-known anticancer therapeutic agents used in the treatment. Several studies on methylglyoxal biology revolve around the manifestations of its inhibitory effects and toxicity in microbial growth and diabetic complications, respectively. Here, we have revisited the chronology of methylglyoxal research with emphasis on metabolism of methylglyoxal and implications of methylglyoxal production or detoxification on bacterial pathogenesis and disease progression. (C) 2014 IUBMB Life, 66(10): 667-678, 201

Event Tracking: A systematic method for analyzing nucleation and growth in hierarchical self-assembly

Molecular self-assembly has garnered significant attention in the field of biomaterials and nanotechnology due its potential for creating novel materials with diverse applications. The entire process is guided by either classical nucleation and growth or formation of multiple nucleus and their growth and finally the fusion of the self- assembled states. Systematic way to track this nucleation, growth and fusion process is still unknown. We have developed an algorithm to systematically identify all the possible molecular events. The events provide immediate information when a cluster or individual molecule combines with another cluster or molecule, or when a cluster or molecule detaches from another, during each stage of the mechanism. By comprehensively examining the entire process, we can gain a clearer understanding of the molecular mechanisms involved in the assembly process. We applied this algorithm to self-assembly of some ultrashort peptides. Through a systematic analysis, we identify commonalities and differences in the self-assembly mechanism of various ultrashort peptides. This comparative analysis contributes to a deeper understanding of the mechanisms governing ultrashort peptide self-assembly, offering valuable guidance for the rational design of biomaterials which can serve various technological and biomedical purposes

Lipoarabinomannan from Mycobacterium indicus pranii shows immunostimulatory activity and induces autophagy in macrophages.

Mycobacterium indicus pranii (MIP) known for its immunotherapeutic potential against leprosy and tuberculosis is undergoing various clinical trials and also simultaneously being studied in animal models to get insight into the mechanistic details contributing to its protective efficacy as a vaccine candidate. Studies have shown potential immunomodulatory properties of MIP, the most significant being the ability to induce strong Th1 type of response, enhanced expression of pro-inflammatory cytokines, activation of APCs and lymphocytes, elicitation of M.tb specific poly-functional T cells. All of these form crucial components of host-immune response during M.tb infection. Also, MIP was found to be potent inducer of autophagy in macrophages which resulted in enhanced clearance of M.tb from MIP and M.tb co-infected cells. Hence, we further examined the component/s of MIP responsible for autophagy induction. Interestingly, we found that MIP lipids and DNA were able to induce autophagy but not the protein fraction. LAM being one of the crucial components of mycobacterial cell-wall lipids and possessing the ability of immunomodulation; we isolated LAM from MIP and did a comparative study with M.tb-LAM. Stimulation with MIP-LAM resulted in significantly high secretion of pro-inflammatory cytokines and displayed high autophagy inducing potential in macrophages as compared to M.tb-LAM. Treatment with MIP-LAM enhanced the co-localization of M.tb within the phago-lysosomes and increased the clearance of M.tb from the infected macrophages. This study describes LAM to be a crucial component of MIP which has significant contribution to its immunotherapeutic efficacy against TB

Salmonella methylglyoxal detoxification by STM3117-encoded lactoylglutathione lyase affects virulence in coordination with Salmonella pathogenicity island 2 and phagosomal acidification

Intracellular pathogens such as Salmonella enterica serovar Typhimurium (S. Typhimurium) manipulate their host cells through the interplay of various virulence factors. A multitude of such virulence factors are encoded on the genome of S. Typhimurium and are usually organized in pathogenicity islands. The virulence-associated genomic stretch of STM3117-3120 has structural features of pathogenicity islands and is present exclusively in non-typhoidal serovars of Salmonella. It encodes metabolic enzymes predicted to be involved in methylglyoxal metabolism. STM3117-encoded lactoylglutathione lyase significantly impacts the proliferation of intracellular Salmonella. The deletion mutant of STM3117 (Delta lgl) fails to grow in epithelial cells but hyper-replicates in macrophages. This difference in proliferation outcome was the consequence of failure to detoxify methylglyoxal by Delta lgl, which was also reflected in the form of oxidative DNA damage and upregulation of kefB in the mutant. Within macrophages, the toxicity of methylglyoxal adducts elicits the potassium efflux channel (KefB) in the mutant which subsequently modulates the acidification of mutant-containing vacuoles (MCVs). The perturbation in the pH of the MCV milieu and bacterial cytosol enhances the Salmonella pathogenicity island 2 translocation in Delta lgl, increasing its net growth within macrophages. In epithelial cells, however, the maturation of Delta lgl-containing vacuoles were affected as these non-phagocytic cells maintain less acidic vacuoles compared to those in macrophages. Remarkably, ectopic expression of Toll-like receptors 2 and 4 on epithelial cells partially restored the survival of Delta lgl. This study identified a novel metabolic enzyme in S. Typhimurium whose activity during intracellular infection within a given host cell type differentially affected the virulence of the bacteria

Use of metaverse in socializing::Application of the big five personality traits framework

Social media sites, such as Twitter, Instagram, and Facebook, are increasingly interconnected with the metaverse, which has forged a new digital connection between the users and community-building platforms. The increased accessibility of social media via smartphones provides opportunities for greater social interaction and facilitates users’ interaction online. As the metaverse and social media sites become increasingly connected it presents opportunities for the users to make new digital connections and socialize virtually. This study employs the Big Five personality theory to empirically test how the personality traits of Generation-Z impact on their intentions to socialize using innovative technology (metaverse). With Personal Innovation and Hedonic Motivation as moderators, we use a mixed-methods approach that employs a qualitative (n = 24) and quantitative study (n = 436) to understand why Generation-Z is inclined to use the metaverse for socializing. Confirmatory factor analysis and structural equation modeling analyse the data statistically. Results show that Openness has the highest impact on users’ intention to adopt the metaverse, followed by Extraversion and Agreeableness. Personal Innovation and Hedonic Motivation variables present evidence of positive moderation with the personality traits. Further, generation differences between cohorts and users’ personalities affects their willingness to adopt the metaverse