As the latest identified novel severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) variant of concern (VOC), the influence of Omicron on our globe grows promptly. Compared with the last VOC ...(Delta variant), more mutations were identified, which may address the characteristics of Omicron. Considering these crucial mutations and their implications including an increase in transmissibility, COVID‐19 severity, and reduction of efficacy of currently available diagnostics, vaccines, and therapeutics, Omicron has been classified as one of the VOC. Notably, 15 of these mutations reside in the receptor‐binding domain of spike glycoprotein, which may alter transmissibility, infectivity, neutralizing antibody escape, and vaccine breakthrough cases of COVID‐19. Therefore, our present study characterizes the mutational hotspots of the Omicron variant in comparison with the Delta variant of SARS‐CoV‐2. Furthermore, detailed information was analyzed to characterize the global perspective of Omicron, including transmission dynamic, effect on testing, and immunity, which shall promote the progress of the clinical application and basic research. Collectively, our data suggest that due to continuous variation in the spike glycoprotein sequences, the use of coronavirus‐specific attachment inhibitors may not be the current choice of therapy for emerging SARS‐CoV‐2 VOCs. Hence, we need to proceed with a sense of urgency in this matter.
Highlights
First report of characterization of the novel SARS‐CoV‐2 Omicron (B.1.1.529) Variant of Concern (VOC).
Omicron variant is the most divergent SARS‐CoV‐2 variant characterized as the highest number of amino acid substitutions identified in spike glycoprotein, till date.
These mutations in Omicron may be linked with more transmissibility, robust viral binding affinity, and immune escape.
Coronavirus specific attachment inhibitors may not be the current choice of therapy for SARS‐CoV‐2 Omicron (B.1.1.529).
Analogous to other physiological systems, the immune system also demonstrates remarkable sex differences. Although the reasons for sex differences in immune responses are not precisely understood, it ...potentially involves differences in sex hormones (estrogens, androgens, and differential sex hormone receptor-mediated events), X-chromosomes, microbiome, epigenetics among others. Overall, females tend to have more responsive and robust immune system compared to their male counterparts. It is therefore not surprising that females respond more aggressively to self-antigens and are more susceptible to autoimmune diseases. Female hormone (estrogen or 17β-estradiol) can potentially act on all cellular subsets of the immune system through estrogen receptor-dependent and -independent mechanisms. This minireview highlights differential expression of estrogen receptors on immune cells, major estrogen-mediated signaling pathways, and their effect on immune cells. Since estrogen has varied effects in female-predominant autoimmune diseases such as multiple sclerosis and systemic lupus erythematosus, we will mechanistically postulate the potential differential role of estrogen in these chronic debilitating diseases.
Liver disease causes millions of deaths per year worldwide, and approximately half of these cases are due to cirrhosis, which is an advanced stage of liver fibrosis that can be accompanied by liver ...failure and portal hypertension. Early detection of liver fibrosis helps in improving its treatment and prevents its progression to cirrhosis. In this work, we present a novel noninvasive method to detect liver fibrosis from tagged MRI images using a machine learning‐based approach. Specifically, coronal and sagittal tagged MRI imaging are analyzed separately to capture cardiac‐induced deformation of the liver. The liver is manually delineated and a novel image feature, namely, the histogram of the peak strain (HPS) value, is computed from the segmented liver region and is used to classify the liver as being either normal or fibrotic. Classification is achieved using a support vector machine algorithm. The in vivo study included 15 healthy volunteers (10 males; age range 30–45 years) and 22 patients (15 males; age range 25–50 years) with liver fibrosis verified and graded by transient elastography, and 10 patients only had a liver biopsy and were diagnosed with a score of F3‐F4. The proposed method demonstrates the usefulness and efficiency of extracting the HPS features from the sagittal slices for patients with moderate fibrosis. Cross‐validation of the method showed an accuracy of 83.7% (specificity = 86.6%, sensitivity = 81.8%).
A novel method has been presented for detecting liver fibrosis in tagged MRI images. The method is based on extracting a new set of features representing the distribution of the peak strains in the liver. The results show that the proposed method can achieve an accuracy of 83.7% for patients with moderate to severe fibrosis.
Goat milk proteins have gained increasing attention especially the bioactive peptides released from the parent proteins by digestive enzymes. Specifically, the interest in bioactives of goat milk is ...intensifying due to its reduced allergenicity compared to bovine milk. In this study, proteins of goat milk were fractionated into caseins (GCP) and whey proteins (GWP), hydrolyzed by pepsin and the generated peptides were examined for radical scavenging activities. The hydrolysates of whey (P-GWP) and casein (P-GCP) proteins exhibited potent superoxide anion (O2･−) scavenging activity in a dose-dependent manner, as investigated using the natural xanthine/xanthine oxidase (X/XOD) system. The P-GWP and P-GCP dramatically quenched the O2･− flux but had negligible effect on the catalytic function of the enzyme, indicating specificity to scavenge O2･− but not oxidase inhibition. Further, both P-GWP and P-GCP were able to remarkably quench the chemical DPPH radical. Fractionation of hydrolysates by size-exclusion chromatography produced four fractions (F1-F4) from both hydrolysates, with variable O2･− scavenging activities. However, the slow eluting fractions (F4) of both hydrolysates and fast eluting fraction (F2) of P-GCP contained peptides with the highest scavenging activities. Peptides in the active fractions of P-GWP and P-GCP, isolated by reversed phase-HPLC, exhibited significantly strong O2･− scavenging activities. MALDI-TOF-MS allowed the identification of several antioxidant peptides derived from both caseins and whey proteins, with β-casein and β-lactoglobulin being the major contributors, respectively. The results demonstrate that digestion with pepsin generates multiple soluble peptides from goat milk protein fractions with remarkable ability to scavenge superoxide radicals and thus providing a fascinating opportunity for their potential candidacy as antioxidant bioactive peptides.
•Whey and casein protein fractions of goat milk were hydrolyzed with pepsin.•In vitro antioxidant activities were evaluated by O2·− generating XOD and DPPH assays.•Hydrolysates demonstrated potent antioxidant activities.•The RP-HPLC sub-fractions exhibited superior activities to their hydrolysates.•Potent antioxidant peptides were identified by MALDI-TOF/MS.
Background In pandemic COVID-19 (coronavirus disease 2019), the prognosis of patients has been determined using clinical data and CT (computed tomography) scans, but it is still unclear whether chest ...CT characteristics are correlated to COVID-19 severity. Aim To explore the potential association between clinical data and 25-point CT score and investigate their predictive significance in COVID-19-positive patients at Fayoum University Hospital in Egypt. Methods This study was conducted on 252 Egyptian COVID-19 patients at Fayoum University Hospital in Egypt. The patients were classified into two groups: a mild group (174 patients) and a severe group (78 patients). The results of clinical laboratory data, and CT scans of severe and mild patients, were collected, analyzed, and compared. Results The severe group show high significance levels of CRP, alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatinine, urea, ferritin, lactate dehydrogenase (LDH), neutrophil percent, and heart rate (HR) than the mild group. Lymphopenia, hypoalbuminemia, hypocalcemia, and decreased oxygen saturation (SpO2) were the most observed abnormalities in severe COVID-19 patients. Lymphopenia, low SpO2 and albumin levels, elevated serum LDH, ferritin, urea, and CRP levels were found to be significantly correlated with severity CT score (P<0.0001). Conclusion The clinical severity of COVID-19 and the CT score are highly correlated. Our findings indicate that the CT scoring system can help to predict COVID-19 disease outcomes and has a strong correlation with clinical laboratory testing.
Climate change and its effect on human life and comfort have taken increase attraction. In this paper effect of UHI is analyzed using quantitative thermal, temporal remote sensing and GIS techniques. ...Series of Landsat TM/ETM, 8 and ASTER images of Suez Governorate acquired in winter season were used to investigate the variation in land surface temperature (LST) from 1988 to 2014 as well as land-use/cover change. NDVI NDBI and LST have been used for classification of the study area. Vulnerable areas for UHI have been assessed over Suez district. The effect of UHI was quantitatively described using urban thermal field variance index (UTFVI). Results indicate that there are increases in the overall temperature between years 1988 and 2014. Suez and Al-Arbin districts which are the most populated, highly density built-up and rarely vegetation zones in Suez governorate experiences a huge problem of UHI. UHI phenomenon represents total weight of 40.84% and 46.3% of their areas respectively. It is found that the mean temperature of UHI areas of Al-Arbin and Al-Suez districts was 7.5 above mean of District temperature. While the value of UHI of suburban zone e.g. Ataqa and AL-Ganayin was 2.5 degree above district mean. The results indicate that changes in UTFVI distribution can be predominantly related to the expansion of urban area during the study time period. The hot spot of UTFVI were found mainly in the built-up areas especially densely populated district and in heavily industrial district. It is the vulnerable areas to UHI.
The study was aimed to evaluate the performance of a newly developed spectroscopy-based non-invasive and noncontact device (SAMIRA) for the simultaneous measurement of hemoglobin, bilirubin and ...oxygen saturation as an alternative to the invasive biochemical method of blood sampling. The accuracy of the device was assessed in 4318 neonates having incidences of either anemia, jaundice, or hypoxia. Transcutaneous bilirubin, hemoglobin and blood saturation values were obtained by the newly developed instrument which was corroborated with the biochemical blood tests by expert clinicians. The instrument is trained using Artificial Neural Network Analysis to increase the acceptability of the data. The artificial intelligence incorporated within the instrument determines the disease condition of the neonate. The Pearson's correlation coefficient, r was found to be 0.987 for hemoglobin estimation and 0.988 for bilirubin and blood gas saturation respectively. The bias and the limits of agreement for the measurement of all the three parameters were within the clinically acceptance limit.
•The worldwide COVID-19 pandemic has heavily hit small tourism enterprises.•Resilience directly and indirectly influence sustainable tourism development.•Performance mediates relationship between ...resilience and sustainable development.•Enterprise type significantly affect the results and the research model.•Small restaurant owner-managers showed more resilience than their hotel counterpart.
Tourism is one of the hardest-hit industries by the global pandemic of Novel Coronavirus (COVID-19). Small tourism enterprises have been heavily affected and have had difficulty in business recovery. This research is an early attempt to explore the direct impact of small hospitality enterprises’ resilience on sustainable tourism development as well as indirect impact through performance. A pre-tested questionnaire survey was self-administered to owner-managers of small hospitality enterprises in Greater Cairo, Egypt. The results of structural equation modeling (SEM) using AMOS showed a positive, direct, and significant impact of resilience (planned and adaptive) on sustainable tourism development and indirect influence through performance. The results of the multi-group analysis showed that enterprise type has a significant effect on the results, where restaurant owner-managers expressed more resilience than their hotel counterparts. Several theoretical (for scholars) and practical implications for tourism policy-makers and owner-managers have been discussed and elaborated.
Brain diseases are mainly caused by abnormal growth of brain cells that may damage the brain structure, and eventually will lead to malignant brain cancer. An early diagnosis to enable decisive ...treatment using a Computer-Aided Diagnosis (CAD) system has major challenges, especially accurate detection of different diseases in the magnetic resonance imaging (MRI) images. In this paper, a three-step preprocessing is proposed to enhance the quality of MRI images, along with a new Deep Convolutional Neural Network (DCNN) architecture for effective diagnosis of glioma, meningioma, and pituitary. The architecture uses batch normalization for fast training with a higher learning rate and ease initialization of the layer weights. The proposed architecture is a computationally lightweight model with a small number of convolutional, max-pooling layers and training iterations. A demonstrative comparison between the proposed architecture and other discussed models in this paper is conducted. An outstanding competitive accuracy is achieved of 98.22% overall, 99% in detecting glioma, 99.13% in detecting meningioma, 97.3% in detecting pituitary and 97.14% in detecting normal images when tested on a dataset with 3394 MRI images. Experimental results prove the robustness of the proposed architecture which has increased the detection accuracy of a variety of brain diseases in a short time.
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