关键词： COVID-19  

摘要： Objective: This study aimed to investigate the correlation between COVID-19 and the direct antiglobulin test (DAT) and establish an in-hospital mortality risk predictive model based on the DAT type, which can be used for the early prediction of inpatients with COVID-19. Methods: In this study, 502 patients admitted to our hospital who underwent DAT testing from January 29 to February 8, 2023, were included (252 DAT-positive and 250 DAT-negative). Among them, 241 cases of COVID-19 were screened(171 DAT-positive and 70 DAT-negative), clinical and laboratory indicators were compared between DAT-positive and DAT-negative groups. Univariate and multivariate logistic regression analysis, the Kaplan-Meier survival curve and receiver operating curves were used to explore the relation between the DAT type and in-hospital mortality of patients with COVID-19. Results: The proportion of confirmed COVID-19 cases was higher in the DAT-positive group than in the DAT-negative group (67.9 % vs. 28.0 %, P © 2024 The Authors

关键词： COVID-19   SARS-CoV-2   Mass spectrometry   Tandem mass tag   Proteome   Phosphoproteome   Kinome reprogramming   Immune regulation   Cytokine   Antibody response   CYTOKINE   ROBUST   CELLS   GRK2  

摘要： SARS-CoV-2 infection triggers extensive host immune reactions, leading to severe diseases in certain individuals. However, the molecular basis underlying the excessive yet non-productive immune responses in severe COVID-19 remains incompletely understood. In this study, we conducted a comprehensive analysis of the peripheral blood mononuclear cell (PBMC) proteome and phosphoproteome in sepsis patients positive or negative for SARS-CoV-2 infection, as well as healthy subjects, using quantitative mass spectrometry. Our findings demonstrate dynamic changes in the COVID-19 PBMC proteome and phosphoproteome during disease progression, with distinctive protein or phosphoprotein signatures capable of distinguishing longitudinal disease states. Furthermore, SARS-CoV-2 infection induces a global reprogramming of the kinome and phosphoproteome, resulting in defective adaptive immune response mediated by the B and T lymphocytes, compromised innate immune responses involving the SIGLEC and SLAM family of immunoreceptors, and excessive cytokine-JAK-STAT signaling. In addition to uncovering host proteome and phosphoproteome aberrations caused by SARS-CoV-2, our work recapitulates several reported therapeutic targets for COVID-19 and identified numerous new candidates, including the kinases PKG1, CK2, ROCK1/2, GRK2, SYK, JAK2/3, TYK2, DNA-PK, PKC delta, and the cytokine IL-12.

关键词： Adenosine   A2AR   Immune response   Antiviral therapy   SARS-CoV-2   HIV   REGULATORY T-CELLS   RECEPTOR   PENTOXIFYLLINE   INFLAMMATION   ACTIVATION   MECHANISM   EXPANSION   RESPONSES  

摘要： Adenosine is a neuro- and immunomodulator that functions via G protein-coupled cell surface receptors. Several microbes, including viruses, use the adenosine signaling pathway to escape from host defense systems. Since the recent research developments in its role in health and disease, adenosine and its signaling pathway have attracted attention for targeting to treat many diseases. The therapeutic role of adenosine has been extensively studied for neurological, cardiovascular, and inflammatory disorders and bacterial pathophysiology, but published data on the role of adenosine in viral infections are lacking. Therefore, the purpose of this review article was to explain in detail the therapeutic role of adenosine signaling against viral infections, particularly COVID-19 and HIV. Several therapeutic approaches targeting A2AR-mediated pathways are in development and have shown encouraging results in decreasing the intensity of inflammatory reaction. The hypoxia-adenosinergic mechanism provides protection from inflammation-mediated tissue injury during COVID-19. A2AR expression increased remarkably in CD39 + and CD8 + T cells harvested from HIV patients in comparison to healthy subjects. A combined in vitro treatment performed by blocking PD-1 and CD39/adenosine signaling produced a synergistic outcome in restoring the CD8 + T cells funstion in HIV patients. We suggest that A2AR is an ideal target for pharmacological interventions against viral infections because it reduces inflammation, prevents disease progression, and ultimately improves patient survival.

关键词： COVID-19 classification   Generative adversarial networks   Machine learning   X-ray images   X-ray image restoration  

摘要： Restoration of poor-quality medical images with a blended set of artifacts plays a vital role in a reliable diagnosis. As a pioneer study in blind X-ray restoration, we propose a joint model for generic image restoration and classification: Restore-to-Classify Generative Adversarial Networks (R2C-GANs). This is the first generic restoration approach forming an Image-to-Image translation task from poor-quality having noisy, blurry, or over/under-exposed images to high-quality image domain where forward and inverse transformations are learned using unpaired training samples. Simultaneously, the joint classification preserves the diagnosticrelated label during restoration. Each R2C-GAN is equipped with operational layers/neurons in a compact architecture. The proposed joint model successfully restores images while achieving state-of-the-art Coronavirus Disease 2019 (COVID-19) classification with above 90% in F 1-Score. In qualitative analysis, the restoration performance is confirmed by medical doctors where 68% of the restored images are selected against the original images. We share the software implementation at https://***/meteahishali/R2C-GAN.

关键词： Hemodialysis   COVID-19   Mortality rate   Inflammation   Telomere   CHRONIC KIDNEY-DISEASE   RENAL-FUNCTION   FAILURE  

摘要： Background and objective An increased risk of mortality and hospitalization was consistently demonstrated in hemodialysis (HD) patients affected by pandemic coronavirus infection (COVID-19). In this study, we analyzed parameters that may impact mortality in COVID-19 HD patients, including neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), C-reactive protein (CRP), COVID-19 disease status and telomere length in peripheral blood cells (TL). Materials and methods A total of 130 chronic hemodialysis patients were enrolled and followed up for 18 months. Patients were categorized into groups based on their COVID-19 disease history and subsequent data about their survival status at the end of the study. Routine laboratory parameters were assessed using standard automated methods and TL was determined using the modified Cawthon method. Survival predictors were analyzed using Kaplan-Meier analysis. Results Deceased patients (30%) were older with higher body mass index (BMI), higher levels of LDH, NLR index, CRP and lower TL and lymphocytes count compared to survivors. Kaplan-Meier survival analysis showed six parameters were significant mortality predictors in the following order of significance: COVID-19 history, 2-years cardiovascular mortality risk score, NLR, TL, CRP, LDH. Using binary logistic regression analysis Summary risk score, a combination of these six parameters revealed as the best predictor of patient's survival in this group of parameters (log rank 25.4, p < 0.001). Conclusion Compared to the general population, the mortality rate among HD patients persists at a higher level despite advancements in HD technology and patient care. The situation has been exacerbated by COVID-19, by significant increase in mortality rate among these patients. Highlights COVID-19 exacerbates the already elevated mortality rate among dialysis patients. New biomarker or combination of more could be useful for mortality risk prediction. Neutrophil-to-lymphocyte ratio

关键词： Solar power generation  

摘要： The Covid-19 pandemic has resulted in a permanent shift in individuals’ daily routines and driving behaviours, leading to an increase in remote work. There has also been an independent and parallel rise in the adoption of solar photovoltaic (PV) panels, electrical storage systems, and electric vehicles (EVs). With remote work, EVs are spending longer periods at home. This offers a chance to reduce EV charging demands on the grid by directly charging EV batteries with solar energy during daylight. Additionally, if bidirectional charging is supported, EVs can serve as a backup energy source day and night. Such an approach fundamentally alters domestic load profiles and boosts the profitability of residential power systems. However, the lack of publicly available post-Covid EV usage datasets has made it difficult to study the impact of recent commuting patterns shifts on EV charging. This paper, therefore, presents SPAGHETTI (Synthetic Patterns & Activity Generator for Home-Energy & Tomorrow’s Transportation Investigation), a tool that can be used for the synthetic generation of realistic EV drive cycles. It takes as input EV user commuting patterns, allowing for personalised modeling of EV usage. It is based on a thorough literature survey on post-Covid work-from-home (WFH) patterns. SPAGHETTI can be used by the scientific community to conduct further research on the large-scale adoption of EVs and their integration into domestic microgrids. As an example of its utility, we study the dependence of EV charge state and EV charging distributions on the degree of working from home and find that there is, indeed, a significant impact of WFH patterns on these critical parameters. © The Author(s) 2024.

关键词： COVID-19   I kappa B alpha   NF-kappa B   Oxygen (O-2) requirement   PROTEIN   SARS  

摘要： Background: We aimed to investigate the serum Nuclear Factor Kappa B (NF-kappa B) p105, NF-kappa B p65 and Inhibitor Kappa B Alpha (I kappa B alpha) levels in patients with mild/moderate Coronavirus Disease 2019 (COVID-19) and their association with the course of the disease. Materials and methods: Blood was drawn from 35 COVID-19 patients who applied to the Department of Emergency Medicine of Istanbul University-Cerrahpasa at the time of diagnosis and from 35 healthy individuals. The patients were evaluated to have mild/moderate degree of disease according to National Early Warning Score 2 (NEWS2) scoring and computed tomography (CT) findings. The markers were studied in the obtained serum samples, using enzyme-linked immunoassay (ELISA). Receiver Operating Characteristic (ROC) analysis was performed. Statistical significance was evaluated to be p < 0.05. Results: NF-kappa B p105 levels were significantly higher in the COVID-19 group compared to the control group. C-reactive protein (CRP), D-dimer, ferritin levels of the patients were significantly higher (p < 0.001) compared to the control group, while the lymphocyte count was found lower (p = 0.001). I kappa B alpha and NF-kappa B p65 levels are similar in both groups. Threshold value for NF-kappa B p105 was above 0.78 ng/mL, sensitivity was 71.4% and specificity was 97.1% (p < 0.05). NF-kappa B p105 levels at the time of diagnosis of the patients who required supplemental oxygen (O2), were significantly higher (p < 0.01). Conclusions: The rise in serum NF-kappa B p105 levels during the early stages of infection holds diagnostic value. Besides its relation with severity might have a prognostic feature to foresee the requirement for supplemental O-2 that occurs during hospitalization.

关键词： COVID-19   Myocardial work   Exercise   Heart rate recovery   INDEX   QUANTIFICATION  

摘要： Background: The impact of COVID-19 goes beyond its acute form and can lead to the persistence of symptoms and the emergence of systemic disorders, defined as long-term COVID. Methods: We performed a cross-sectional study that included patients over 18 years of age who recovered from the severe form of COVID-19 at least 60 days after their discharge. Patients and controls were enrolled to undergo transthoracic echocardiography (TTE) using a more sensitive tool, myocardial work, in combination with cardiopulmonary exercise testing (CPET). Results: A total of 52 patients and 31 controls were enrolled. Significant differences were observed in ejection fraction (LVEF; 62 +/- 7 vs. 66 +/- 6 %; p = 0.007), global longitudinal strain (LVGLS; -18.7 +/- 2.6 vs. -20.4 +/- 1.4 %; p = 0.001), myocardial wasted work (GWW; 152 +/- 81 vs. 101 +/- 54 mmHg; p = 0.003), and myocardial work efficiency (GWE; 93 +/- 3 vs. 95 +/- 2 %; p = 0.002). We found a significant difference in peak VO2 (24.4 +/- 5.4 vs. 33.4 +/- 8.8 mL/kg/min; p < 0.001), heart rate (160 +/- 14 vs. 176 +/- 11 bpm; p < 0.001), ventilation (84.6 +/- 22.6 vs. 104.9 +/- 27.0 L/min; p < 0.001), OUES% (89 +/- 16 vs. 102 +/- 22 %; p = 0.002), T <1/2> (120.3 +/- 32 vs. 97.6 +/- 27 s; p = 0.002) and HRR at 2 min (-36 +/- 11 vs. -43 +/- 13 bpm; p = 0.010). Conclusion: Our findings revealed an increased wasted work, with lower myocardial efficiency, significantly reduced aerobic exercise capacity, and abnormal heart rate response during recovery, which may be related to previously described late symptoms. The reduction in functional capacity during physical exercise is partly associated with a decrease in resting myocardial work efficiency. These findings strongly indicate the need to determine whether these manifestations persist in the long term and their impact on cardiovascular health and quality of life in COVID-19 survivors.

关键词： Literature mining   COVID-19   Citation maps   MeSH maps  

摘要： Background: During the COVID-19 pandemic a need to process large volumes of publications emerged. As the pandemic is winding down, the clinicians encountered a novel syndrome - Post-acute Sequelae of COVID-19 (PASC) - that affects over 10 % of those who contract SARS-CoV-2 and presents a significant challenge in the medical field. The continuous influx of publications underscores a need for efficient tools for navigating the literature. Objectives: We aimed to develop an application which will allow monitoring and categorizing COVID-19-related literature through building publication networks and medical subject headings (MeSH) maps to identify key publications and networks. Methods: We introduce CORACLE (COVID-19 liteRAture CompiLEr), an innovative web application designed to analyse COVID-19-related scientific articles and to identify research trends. CORACLE features three primary interfaces: The "Search" interface, which displays research trends and citation links; the "Citation Map" interface, allowing users to create tailored citation networks from PubMed Identifiers (PMIDs) to uncover common references among selected articles; and the "MeSH" interface, highlighting current MeSH trends and their associations. Results: CORACLE leverages PubMed data to categorize literature on COVID-19 and PASC, aiding in the identification of relevant research publication hubs. Using lung function in PASC patients as a search example, we demonstrate how to identify and visualize the interactions between the relevant publications. Conclusion: CORACLE is an effective tool for the extraction and analysis of literature. Its functionalities, including the MeSH trends and customizable citation mapping, facilitate the discovery of emerging trends in COVID-19 and PASC research.

关键词： SARS-CoV-2   COVID-19   Brain damage   ACE2   CNS   BBB   Mpro   NEMO   SARS-COV-2   ENCEPHALOPATHY   COMPLICATIONS   INFECTION  

摘要： SARS-CoV-2 has been known remarkably since December 2019 as a strain of pathogenic coronavirus. Starting from the earlier stages of the COVID-19 pandemic until now, we have witnessed many cases of neurological damage caused by SARS-CoV-2. There are many studies and research conducted on COVID-19-positive-patients that have found brain-related abnormalities with clear neurological symptoms, ranging from simple headaches to life-threatening strokes. For treating neurological damage, knowing the actual pathway or mechanism of causing brain damage via SARS-CoV-2 is very important. For this reason, we have tried to explain the possible pathways of brain damage due to SARS-CoV-2 with mechanisms and illustrations. The SARS-CoV-2 virus enters the human body by binding to specific ACE2 receptors in the targeted cells, which are present in the glial cells and CNS neurons of the human brain. It is found that direct and indirect infections with SARS-CoV-2 in the brain result in endothelial cell death, which alters the BBB tight junctions. These probable alterations can be the reason for the excessive transmission and pathogenicity of SARS-CoV-2 in the human brain. In this precise review, we have tried to demonstrate the neurological symptoms in the case of COVID-19-positive-patients and the possible mechanisms of neurological damage, along with the treatment options for brain-related abnormalities. Knowing the transmission mechanism of SARS-CoV-2 in the human brain can assist us in generating novel treatments associated with neuroinflammation in other brain diseases.