Coronary anomalies and anatomical variants detected by coronary computed tomographic angiography in Kashmir, India

Background: Coronary Artery Anomalies (CAAs) presenting in adulthood are rare and associated with adverse cardiac events, including sudden cardiac death. Coronary artery anomaly is the second most common cause of Sudden Cardiac Death (SCD) in young athletes. Cardiac Computed Tomographic Angiography (CTA) is a readily available non-invasive imaging modality that provides high-resolution anatomical information of the coronary arteries. Multi-detector row CT is superior to conventional angiography in defining the ostial origin and proximal path of anomalous coronary branches.Methods: This was a prospective study included 186 patients who underwent coronary CTA from December 2018 to November 2019 in Government medical College, Srinagar on a 256 slice CT. The indications for coronary CTA were an equivocal, or non-diagnostic stress test, atypical chest pain, suspected anomalous coronary, as well as the evaluation of cardiac cause of syncope.Results: Ramus intermedius was the most common anatomical variant seen in 25 patients (13.4%). The prevalence of coronary anomalies in this study was 5.66% including myocarding bridging. The most common anomaly was high take off of coronary artery from sinotubular junction accounting for 1.6%.Conclusions: Coronary Computed Tomographic angiography is much superior in detecting coronary artery anomalies than invasive coronary angiography because of the absence of soft tissue information like as is needed in myocardial bridging. Proper knowledge of the anomalies and their clinical significance is highly important in planning treatment and easing hardships of cardiologists in dealing with them

Investigating the role of hypothetical protein (AAB33144.1) in HIV-1 virus pathogenicity: A comparative study with FDA-Approved inhibitor compounds through In silico analysis and molecular docking

Aim and objective: Due to the a lot of unexplored proteins in HIV-1, this research aimed to explore the functional roles of a hypothetical protein (AAB33144.1) that might play a key role in HIV-1 pathogenicity. Methods: The homologous protein was identified along with building and validating the 3D structure by searching several bioinformatics tools. Results: Retroviral aspartyl protease and retropepsin like functional domains and motifs, folding pattern (cupredoxins), and subcellular localization in cytoplasmic membrane were determined as biological activity. Besides, the functional annotation revealed that the chosen hypothetical protein possessed protease-like activity. To validate our generated protein 3D structure, molecular docking was performed with five compounds where nelfinavir showed (− 8.2 kcal/mol) best binding affinity against HXB2 viral protease (PDB ID: 7SJX) and main protease (PDB ID: 4EYR) protein. Conclusions: This study suggests that the annotated hypothetical protein related to protease action, which may be useful in viral genetics and drug discovery

Virtual screening of bioactive anti-SARS-CoV natural products and identification of 3β,12-diacetoxyabieta-6,8,11,13-tetraene as a potential inhibitor of SARS-CoV-2 virus and its infection related pathways by MD simulation and network pharmacology

Since the first prevalence of COVID-19 in 2019, it still remains the most devastating pandemic throughout the world. The current research aimed to find potential natural products to inhibit the novel coronavirus and associated infection by MD simulation and network pharmacology approach. Molecular docking was performed for 39 natural products having potent anti-SARS-CoV activity. Five natural products showed high binding interaction with the viral main protease for the SARS-CoV-2 virus, where 3β,12-diacetoxyabieta-6,8,11,13 tetraene showed stable binding in MD simulation until 100 ns. Both 3β,12-diacetoxyabieta-6,8,11,13 tetraene and tomentin A targeted 11 common genes that are related to COVID-19 and interact with each other. Gene ontology development analysis further showed that all these 11 genes are attached to various biological processes. The KEGG pathway analysis also showed that the proteins that are targeted by 3β,12-diacetoxyabieta-6,8,11,13 tetraene and tomentin A are associated with multiple pathways related to COVID-19 infection. Furthermore, the ADMET and MDS studies reveals 3β,12-diacetoxyabieta-6,8,11,13 as the best-suited compound for oral drug delivery

Global injury morbidity and mortality from 1990 to 2017 : results from the Global Burden of Disease Study 2017

Correction:Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.Peer reviewe

Estimating global injuries morbidity and mortality : methods and data used in the Global Burden of Disease 2017 study

Background While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.Peer reviewe

Motor Vehicle Crashes among Older People in Illinois

Older people form a vulnerable age group who are susceptible to road traffic injuries and in recent years, the fatality rates among the older drivers, pedestrians, and pedacyclists have increased in an alarming rate. Due to the statewide increase in motor vehicle crashes involving older population, the Illinois Department of Transportation (IDOT) has identified older drivers as an emphasis area in the Illinois Strategic Highway Plan. This study is aimed to determine the major causes behind older population crashes by analyzing the crash data and county-level socioeconomic data. First, preliminary analysis on the IDOT 2011–2016 crash data was conducted and several crash injury characteristics for older people (age 65 or more) were identified and compared with the remaining age groups. Then, Hierarchical Linear Models has been used to identify the association between senior people crashes and crash characteristics along with county-level demographic features. From the analysis, it has been found that, the factors including percentage of older people and primary care physicians along with road surface condition, light, weather, alignment conditions, vehicle types, vehicle defects, time of crash, gender, BAC (Blood Alcohol Content), TCD (Traffic Control Devices) etc. are significant predictors which result in older people injury over different counties in Illinois