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Background The clinical condition of epidemic dropsy is caused by the consumption of edible oils contaminated with Argemone mexicana oil. Two of the most toxic alkaloids found in argemone oil are sanguinarine and dehydrosanguinarine, which cause capillary dilation, proliferation, and increased permeability. Extreme cardiac decompensation leading to congestive heart failure and glaucoma resulting in blindness are the most serious consequences of epidemic dropsy. Materials and methods All patients attending the medicine department of Tezpur Medical College and Hospital with clinical features of epidemic dropsy were included in the study after obtaining informed consent. All patients, after a complete history, underwent a thorough clinical examination, and findings were recorded using a pre-formed proforma. Along with routine blood examination, patients were also evaluated with echocardiography, ECG, and chest X-ray. Cooking oil samples obtained from patients were investigated for the presence of sanguinarine in a standardized laboratory with the help of the district authority. The statistical analysis was done using MS Excel 2017. Results Out of 38 patients, 36 were male (94.7%), and only two were female (5.2%). Male to female ratio was 18:1. This difference in sex ratio may be due to the fact that only severely ill patients attended our tertiary care hospital. In contrast, moderate and mildly ill patients were treated in local hospitals. The mean age of patients was 28.1 years, and the mean length of hospital stay was eight days. Bilateral pitting type of ankle edema was the most common clinical manifestation, and all 38 patients (100%) exhibited edema. A total of 76% of patients had dermatological manifestations. Sixty-two percent of patients had gastrointestinal manifestations. In cardiovascular manifestation, persistent tachycardia was seen in 52% of patients, pansystolic murmur was best heard in the apical area in 42% of patients, and 21 percent had evidence of a raised jugular venous pressure (JVP). Five percent of patients had pleural effusion. Sixteen percent of patients had ophthalmological manifestations. Eight patients (21%) required ICU care. The in-hospital fatality rate was 10.53% (n=4). Of the expired patients, 100% were male. The most common cause of death was cardiogenic shock (75%), followed by septic shock (25%). Conclusion From our study, it was found that most of the patients were male, with an age group of 25-45 years. The most common clinical manifestation was dependent edema, along with signs of heart failure. Other common manifestations were dermatological and gastrointestinal. The severity and outcome were directly related to the delay in seeking medical consultation and diagnosis.
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Development of a suitable recombinant peptide vaccine against pathogens requires designing of effective immunogenic polypeptide taking various aspects and complexity of immune-response into consideration. Implementing SARS-CoV-2 spike glycoprotein (S-protein) and RNA-dependent RNA polymerase (RdRp) as model targets, in this study, we outline and assess a strategy for in silico recombinant vaccine designing. After mapping the linear B-cell epitopes and MHC1-binding T-cell epitopes six epitopes were sorted from each of the proteins on the basis of extent of residue-conservancy among three types of coronaviruses namely SARS-CoV2, SARS-CoV and MERS-CoV. Each of the selected epitopes were profiled for their pro-inflammatory potential through molecular docking analysis with surface bound Toll-like receptors, namely TLR2, TLR4 and TLR5. Based on a custom scoring function, the epitopes were ranked for highest and least pro-inflammatory potential. Segments of Spike and RdRp harboring such epitopes were combined using linkers to design immunogenic recombinant polypeptide. Antigenicity and allergenicity of each of the combination was scored;and the best fitting one was docked against TLR2, TLR4 and TLR5 for assessing pro-inflammatory potential. Codon optimization and in silico cloning in expression vector indicated that the designed peptide can be satisfactorily expressed in bacteria, reinforcing the viability of the strategy in identification and designing of potential immunogens. [ FROM AUTHOR] Copyright of Journal of Pure & Applied Microbiology is the property of Dr. M. N. Khan and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Rapid development of effective vaccine has been one of the cornerstones of outbreak (including epidemic and pandemic) preparedness. Since its inception, vaccine technology and immunization saved billions of lives. Fostered by the knowledge discovery in biological and computational sciences, the basic concepts of vaccine designing have also evolved significantly in the past few decades. The advent of whole-genome sequencing complemented with big-data analysis platforms eventuated omics-based vaccine designing—often referred to as reverse vaccinology (RV). Adopting systemic approach toward the proteome and structural data, RV accomplishes comprehensive profiling of immunogenicity. With the advancement in artificial intelligence and deep learning algorithms, a number of prediction tools have been introduced for precise and accurate prediction of immune-recognition patterns that can be exploited for designing novel vaccine candidates. Considering the fact that vaccines are available for only a few of the infectious diseases, there is an earnest need of rapid development of vaccines for several fatal and emerging pathogens, which can be immensely accentuated by RV. With specific emphasis on immunoinformatics and artificial intelligence algorithms used in it, within the scope of this chapter a comprehensive purview of RV and its application is provided.
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ALI (Acute lung injury) and its more fatal form ARDS (acute respiratory distress syndrome) together represent a broad spectrum oflung diseases, which are characterized by the abrupt onset of pulmonary inflammation with fluid filled alveoli resulting in hypoxia. With the advancement of several diagnostic tools, especially discovery of multiplex RT-PCR, increased the chance to investigate the involvement of different respiratory viruses in causing ARDS. There are several different viruses responsible for ARDS and among them few are capable of causing pandemic. Influenza viruses such as H5N1 and H1N1 causing pandemic in 2009. Also among different corona viruses, severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS-CoV) and most recently a novel betacoronavirus strain, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been identified. Till date, the therapy against virus induced ARDS has not been optimized. Naturally existing phytochemicals and plant biotechnology could offer prospective solutions for the treatment against virus induced ARDS by developing inhibitors, low-cost vaccines and antibodies, which could not only be useful for treatment but could also be used for diagnosis. In this present COVID-19 pandemic, use of plant based therapeutic approach has already been adopted by several pharma companies to treat ARDS and there are several molecules currently under clinical trials with encouraging results. This review provides detailed outlook on ARDS pandemic causing viruses, pathophysiology of viruses and role of phytochemicals and plantibodies as anti-viral agent. Further, it summarizes list of phytochemicals and their mode of action in these pathogenic viruses.