Objectives:To determine the optimal cutoff value for neck circumference (NC) that define overweight/obesity and assess its predictive potential for cardiometabolic risks (CMR) among Saudi subjects.Methods:A cross sectional study of 785 adults recruited from a public health awareness campaign in Medina, Saudi Arabia during June 2015. Waist circumference (WC), NC, body mass index (BMI), blood pressure (BP), and random blood glucose (RBG) were assessed, and the presence of CMR were collected by a questionnaire. Pearson’s correlation coefficients were used to evaluate the associations of NC with other anthropometric indices and CMR. The optimal cutoff value for NC to identify overweight/obesity was determined by receiver operating characteristic (ROC) curves.Results:There were significant correlations between NC and BMI, weight, WC, age, RBG, and BP. The area under the curve for NC and WC in the ROC analysis was 0.86 for men and 0.77 for women, and NC ≥39.25 cm for men and ≥34.75 cm for women were the best cutoff levels for identifying subjects with central obesity with an 89% sensitivity and a 71% specificity for men and an 80% sensitivity and a 65% specificity for women. These cutoff levels for NC were associated with a significantly increased risk for diabetes, dyslipidemia, and hypertension.Conclusion:Neck circumference is positively correlated with BMI and WC, and can be used to identify overweight/obesity and predict CMR in Saudi individuals.

The antimicrobial activity, minimum inhibitory concentration (MIC), and minimum bactericidal concentration (MBC) of TQ were determined using an agar well diffusion method and broth microdilution assays, and the synergistic effect was evaluated using antibiotics in parallel. The disruptive effect of TQ on bacterial cell membranes was determined using scanning electron microscopy. The antivirulence Original Article properties of TQ, which include adherence and biofilm formation, were also investigated using adherence and biofilm formation assays, respectively. Results: Thymoquinone demonstrated bactericidal efficacy against 4/14 bacterial strains, with MIC range of 1.04-8.3 μg/mL and and MBC range of 10.41-66.66 μg/ mL. Thymoquinone showed synergism against Klebsiella pneumoniae, Staphylococcus epidermidis (American Type Culture Collection 12228), Staphylococcus aureus, and Staphylococcus epidermidis in combination with the tested antibiotics. Thymoquinone inhibited bacterial adhesion by 39%-54%, 48%-68%, and 61%-81% at 0.5 × MIC, 1 × MIC, and 2 × MIC, respectively. The tested bacterial strains significantly inhibited biofilm formation after treatment with various concentrations of TQ for 24 and 48 hours. Conclusion: The combinatory effect of TQ with antimicrobials should be considered when developing new antimicrobial therapy regimens to overcome multidrugresistant.

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P2Y12 receptor is required for sustained activation of integrin αIIbβ3, irreversible platelet aggregation and thrombus stabilisation. Tetraspanin superfamily member CD151 associates with integrin αIIbβ3 and plays critical roles in regulation of thrombus growth and stability in vivo. The possible functional relationship between P2Y12 and CD151 in a molecular cluster in platelets may affect thrombus formation. Hence our aim was to investigate the physical and functional requirements for this association in platelets. Our investigations reveal a specific and constitutive association between CD151 and P2Y12 receptor in human platelets shown by immunoprecipitation/western blot studies and by flow cytometry. Specifically, the prominent association involves CD151 with P2Y12 oligomers, and to a lesser extent P2Y12 monomers. This association is not altered by platelet aggregation induced by different agonists. There is also a distinct complex of tetraspanin CD151 with ADP purinergic receptor P2Y12 but not P2Y1. P2Y12 oligomer interaction with CD151 is selective as compared to other tetraspanins. To investigate the functional relationship between these receptors in platelets we used wild-type or CD151 knockout (KO) mice treated with either PBS or 50 mg/kg clopidogrel. CD151 KO mice treated with clopidogrel exhibited synergy in delayed kinetics of clot retraction, in PAR-4 and collagen-mediated platelet aggregation, platelet spreading on fibrinogen and without restricting cAMP inhibition. Clopidogrel treated CD151 KO arterioles showed smaller and less stable thrombi with increased tendency to embolise ex vivo and in vivo. These studies demonstrate a complementary role between CD151 and P2Y12 receptor in platelets in regulating thrombus growth and stability.

SARS-CoV-2 is a recently discovered virus that poses an urgent threat to global health. The disease caused by this virus is termed COVID-19. Death tolls in different countries remain to rise, leading to continuous social distancing and lockdowns. Patients of different ages are susceptible to severe disease, in particular those who have been admitted to an ICU. Machine learning (ML) predictive models based on medical data patterns are an emerging topic in areas such as the prediction of liver diseases. Prediction models that combine several variables or features to estimate the risk of people being infected or experiencing a poor outcome from infection could assist medical staff in the treatment of patients, especially those that develop organ failure such as that of the liver. In this paper, we propose a model called the detecting model for liver damage (DMLD) that predicts the risk of liver damage in COVID-19 ICU patients. The DMLD model applies machine learning algorithms in order to assess the risk of liver failure based on patient data. To assess the DMLD model, collected data were preprocessed and used as input for several classifiers. SVM, decision tree (DT), Naïve Bayes (NB), KNN, and ANN classifiers were tested for performance. SVM and DT performed the best in terms of predicting illness severity based on laboratory testing.

To investigate trends in hemoglobinopathies following the establishment of a mandatory premarital screening program (MPMSP) in the southern region of Saudi Arabia, where they are considered highly predominant.Methods: A retrospective analysis was performed on data from 32,130 high-performance liquid chromatography (HPLC) tests between November 2017 and October 2020. The data was obtained from the

Targeted chemotherapy remains the primary choice in controlling various forms of breast cancer (BC) due to its heterogenous gene expressions in various subtypes. In silico and in vitro evaluation of ICY-5, a novel arylidene analogue against c-MET, was performed. ICY-5 exhibited a docking score of −9.6 kcal/mol in inactive conformation and, − 8.6 kcal/mol in active conformation for c-MET. ICY-5 inhibited c-MET enzyme with an IC 50 of 34.34 nM. The compound effectively inhibited MDA-MB 231 and MCF-7 cell proliferation, with GI 50 values of 62.61 and 75.31 nM, respectively, and hepatocyte growth factor (HGF)/R c-MET phosphorylation with IC 50 s of 71.41 and 83.77 nM, respectively. ICY-5 dose-dependently inhibited HGF-induced transmigration, cell scattering, invasion and altered cell cycle. An increase in apoptotic populations of these cells, with a dose-dependent decease in phosphorylation of STAT3 protein was observed. Furthermore, ICY-5 upregulated the caspase-3, caspase-9, Bcl-2-associated X and survivin, and downregulated Bcl-2, vascular endothelial growth factor, matrix metalloproteinase-2 (MMP-2), and MMP-9 in both BC cell lines. In summary, ICY-5 exhibited excellent efficacy in BC cells, targeting c-MET/SAT-3-mediated mitochondrial apoptosis. Further research will be required to ascertain ICY-5 suitability as a targeted chemotherapeutic against multiple forms of BC.

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