Secondary bacterial infections are commonly associated with prior or concomitant respiratory viral infections. Viral infections damage respiratory airways and simultaneously defects both innate and acquired immune response that provides a favorable environment for bacterial growth, adherence, and facilitates invasion into healthy sites of the respiratory tract. Understanding the molecular mechanism of viral-induced secondary bacterial infections will provide us a chance to develop novel and effective therapeutic approaches for disease prevention. The present study describes details about the secondary bacterial infection during viral infections and their immunological changes.The outcome of discussion avails an opportunity to understand possible secondary bacterial infections associated with novel SARS-CoV-2, presently causing pandemic outbreak COVID-19.
As of recent, the pandemic episode of COVID-19, a severe acute respiratory syndrome brought about by a novel coronavirus (SARS-CoV-2) expanding the pace of mortality, has affected the disease rate profoundly. Invulnerability is the fundamental choice to prevent the ruining event of COVID-19, as the drugs and antibodies are in the phase of preliminary clinical trials. Within this brief period, a few strains of SARS-CoV-2 have been recognized by the vaccine manufacturers, which could be an incorrect guess about the strain that will end up spreading. Since the circulating SARS-CoV-2 strains continue to mutate, immunizations, if at all works, might be for a restricted time. We have not put sufficient time in research to understand the immune responses that correlate with protection as this could help refine vaccines. Here, we have summed up the adequacy of the immunomodulatory component of probiotics for the prevention against viral infections. Furthermore, an in silico data have been provided in support of the "probiotics-derived lipopeptides" role in inactivating spike (S) glycoprotein of SARS-CoV-2 and its host receptor molecule, ACE2. Among well characterized lipopeptides derived from different probiotic strains, subtilisin (Bacillus amyloliquefaciens), curvacin A (Lactobacillus curvatus), sakacin P (Lactobacillus sakei), lactococcin Gb (Lactococcus lactis) was utilized in this study to demonstrate a higher binding proclivity to S-protein of SARS-CoV-2 and human ACE2. The outcome revealed noteworthy capabilities of the lipopeptides, due to their amphiphilic nature, to bind spike protein and receptor molecule, which may act to competitively inhibit the mandatory interaction of SARS-CoV-2 with the host epithelial cell expressing ACE2 for its entry into the cell for reproduction. In the current situation, probiotic treatment alongside chemotherapy may assist in bringing about substantial improvement of the health of COVID-19 patients. At the same time, probiotics may aid towards building up the immune defenses in people to evade COVID-19.
The search for a bioactive natural antibacterial agent with wound healing properties is a common practice for the development of new-generation molecules. Antimicrobial peptides are a good alternative to antibiotics and easy-to-form hydrogels under self-assembled conditions without pH adjustment. With this in mind, the peptide pool was extracted from a formulated curd composed of a blend of probiotic bacteria such as Streptococcus thermophilus , Lactobacillus casei , and Bifidobacterium bifidum at an optimized ratio of 7:1:2. The water content of curd was collected by the drainage column, centrifuged, filtered through a 0.45-μM filter, and used for hydrogel preparation. Matrix-assisted laser desorption/ionization time of flight (MALDI-TOF) mass spectrometry (MS) analysis confirmed the presence of peptide pool in the extracted water. The prepared hydrogel was freeze dried, and its effect on biofilm formation, swarming mortality, antimicrobials, wound healing, and biocompatibility was subsequently verified. Transmission electron microscope (TEM) and scanning electron microscope (SEM) images revealed the fibrous network of peptides after self-assembly with non-polar n-hexane solvent and a porous structure after drying, respectively. The observed biocompatibility, antimicrobial activity, and strong wound healing activity of the developed curd-based hydrogel have opened a new platform for antibacterial ointment formulation.
Horizontal visibility graphs (HVGs) and the sandbox (SB) algorithm usually applied for multifractal characterization of complex network systems that are converted from time series measurements, are used to characterize the fluctuations in pseudorapidity densities of singly charged particles produced in high-energy nucleus–nucleus collisions. Besides obtaining the degree distribution associated with event-wise pseudorapidity distributions, the common set of observables, typical of any multifractality measurement, are studied in [Formula: see text]O-Ag/Br and [Formula: see text]S-Ag/Br interactions, each at an incident laboratory energy of 200 GeV/nucleon. For a better understanding, we systematically compare the experiment with a Monte Carlo model simulation based on the Ultra-relativistic Quantum Molecular Dynamics (UrQMD). Our results suggest that the HVG-SB technique is an efficient tool that can characterize multifractality in multiparticle emission data, and in some cases, it is even superior to other methods more commonly used in this regard.
The gut microbiota plays significant roles in the human body during all spheres' of life and influences innate immunity, promotes granulocyte signaling and provides resistance during pathogenic colonization of the gut; crucial for a healthy life. Antibiotics directly affect the gut microbiota that consequently alters the basic biological processes and imposes severe consequences in population falling under different age groups. In this article, we assessed the differences in microbial colonization and immune function of the intestinal tract in infants, adults, and the aged people and also examined the recent reports describing the impacts of antibiotics on infant microbiome assembly and functioning. The age old techniques have been compared to modern ones in relation to the functioning of the gut microbiome to draw inferences on significant impacts of various microbiota on human life starting from the womb, through infancy, adulthood and old age. It was observed that data is limited to different classes or origin of populace depicting variations in food habits and/or suffering from heavy metal associated diseases after continuous exposure to heavy metals/ metalloids/ biocides. Such extreme environmental factors significantly modulate the microbiota and assist in creating a 'co-resistant' gene pool that influences gut health. In the light of this finding, it is important to analyze the 'co-resistant' gene pool existing in gut-microbiome which supports to recoup and establish a healthy life. The hypothesis of 'postbiotics' is under process and their associations with antibiotic turn to be new-insight in antibiotic therapy. On one hand, postbiotics provide a great opportunity to understand the mechanism of action against pathobionts; on the other; they lead to postulation of newer pharmabiotic products and pharmacological strategies for better gut health.
In this paper we present some results on the nonstatistical fluctuation in the 1-dimensional (1-d) density distribution of singly charged produced particles in the framework of the intermittency phenomenon. A set of nuclear emulsion data on 16 O-Ag/Br interactions at an incident momentum of 200A GeV/c, was analyzed in terms of different statistical methods that are related to the self-similar fractal properties of the particle density function. A comparison of the present experiment with a similar experiment induced by the 32 S nuclei and also with a set of results simulated by the Lund Monte Carlo code FRITIOF is presented. A similar comparison between this experiment and a pseudo-random number generated simulated data set is also made. The analysis reveals the presence of a weak intermittency in the 1-d phase space distribution of the produced particles. The results also indicate the occurrence of a nonthermal phase transition during emission of final-state hadrons. Our results on factorial correlators suggests that short-range correlations are present in the angular distribution of charged hadrons, whereas those on oscillatory moments show that such correlations are not restricted only to a few particles. In almost all cases, the simulated results fail to replicate their experimental counterparts. PACS Nos: 25.75-q, 25.70 Mn, 24.60 Ky Résumé : Nous présentons ici des résultats sur les fluctuations non statistiques des distribution de densités en 1-D (une dimension) des particules à une charge produites dans des phénomènes intermittents. Nous avons analysé un ensemble de données sur émulsions nucléaires résultant d'interactions 16 O-Ag/Br avec une quantité de mouvement incidente de 200AGeV/c, à partir des différentes méthodes statistiques reliées aux propriétés fractales auto-similaires de la fonction de densité de particule. Nous comparons le présent travail avec d'autres expériences similaires induites par le noyau 32 S, et aussi avec un ensemble de résultats simulés à l'aide du programme Monte Carlo de Lund, FRITIOF. Dans certaines cas, de semblables comparaisons ont été faites entre l'expérience et des ensembles de données simulées par génération de nombres (pseudo) au hasard. L'analyse révèle la présence d'une faible intermittence dans la distribution dans l'espace de phase à 1-D des particules produites. Les résultats indiquent également la présence d'une transition de phase non thermique pendant l'émission des hadrons de l'état final. Nos données sur les corrélateurs factoriels suggèrent que des corrélations à courte portée jouent un rle dans la distribution angulaire des hadrons chargés, alors que celles sur les moments oscillants montrent que de telles corrélations ne sont pas limitées à quelques particules. Dans presque tous les cas, les simulations n'ont pas réussi à reproduire les résultats expérimentaux.[Traduit par la Rédaction]
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