Progesterone Improves Neurobehavioral Outcome in Models of Intracerebral Hemorrhage.

In models of acute brain injury, progesterone improves recovery through several mechanisms including modulation of neuroinflammation. Secondary injury from neuroinflammation is a potential therapeutic target after intracerebral hemorrhage (ICH). For potential translation of progesterone as a clinical acute ICH therapeutic, the present study sought to define efficacy of exogenous progesterone administration in ICH-relevant experimental paradigms. Young and aged C57BL/6 male, female, and ovariectomized (OVX) mice underwent left intrastriatal collagenase (0.05-0.075 U) or autologous whole blood (35 µl) injection. Progesterone at varying doses (4-16 mg/kg) was administered at 2, 5, 24, 48, and 72 h after injury. Rotarod and Morris water maze latencies were measured on days 1-7 and days 28-31 after injury, respectively. Hematoma volume, brain water content (cerebral edema), complementary immunohistochemistry, multiplex cytokine arrays, and inflammatory proteins were assessed at prespecified time points after injury. Progesterone (4 mg/kg) administration improved rotarod and water maze latencies (p < 0.01), and decreased cerebral edema (p < 0.05), microglial proliferation, and neuronal loss (p < 0.01) in young and aged male, young OVX, and aged female mice. Brain concentration of proinflammatory cytokines and Toll-like receptor-associated proteins were also decreased after progesterone (4 mg/kg) treatment (p < 0.01). Progesterone-treated young female mice showed no detectable effects. Exogenous progesterone improved short- and long-term neurobehavioral recovery and modulated neuroinflammation in male and OVX mice after ICH. Future studies should validate these findings, and address timing and length of administration before translation to clinical trial.

Spread of virulent group A Streptococcus type emm59 from Montana to Wyoming, USA.

Full-genome sequencing showed that a recently emerged and hypervirulent clone of group A Streptococcus type emm59 active in Canada and parts of the United States has now caused severe invasive infections in rural northeastern Wyoming. Phylogenetic analysis of genome data indicated that the strain was likely introduced from Montana.

Prospective cohort study of vitamin D deficiency in pregnancy: Prevalence and limited effectiveness of 1000 IU vitamin D supplementation.

BACKGROUND: Vitamin D deficiency is highly prevalent worldwide among pregnant women. Although vitamin D supplementation is effective in improving vitamin D status, the safety and optimal dosing of vitamin D supplementation during pregnancy remain less well understood. OBJECTIVE: This study aimed to investigate the prevalence of vitamin D deficiency among pregnant women and evaluate the effectiveness of vitamin D supplementation in improving vitamin D status during pregnancy. DESIGN: This prospective cohort study assessed the impact of a 16-week daily vitamin D supplementation 1000 IU regimen on vitamin D status among pregnant women. METHODS: A total of 365 pregnant women were recruited, and their baseline total circulating 25-hydroxy vitamin D concentrations were measured. Of these, 249 participants completed the study, which involved oral daily supplementation with 1000 IU of vitamin D and a repeat of total circulating 25-hydroxy vitamin D concentrations after 16 weeks. RESULTS: The study found that 57.7% of the participants had vitamin D deficiency, consistent with the rates reported in other studies. However, vitamin D supplementation at a dose of 1000 IU had a small effect size and was not clinically significant. However, 67% of participants with vitamin D deficiency remained deficient; among participants initially with vitamin D insufficiency, 30% became deficient. Moreover, 26.5% of individuals with sufficient vitamin D status at 12 weeks showed insufficient levels by 28 weeks. CONCLUSION: Vitamin D deficiency is widespread among pregnant women, and vitamin D supplementation at a daily dose of 1000 IU may not adequately address this problem. Although the study has limitations, its results align with previous research and may apply to other populations with a high prevalence of vitamin D deficiency during pregnancy. Further research is necessary to determine the most effective approach for addressing prenatal vitamin D deficiency.

Prevalence and effectiveness of vitamin D supplementation during pregnancyVitamin D deficiency is common among pregnant women and can lead to various health issues. This study aimed to investigate the effectiveness of vitamin D supplementation in improving vitamin D levels during pregnancy. A total of 365 pregnant women were recruited, and their vitamin D levels were measured at the beginning of the study. The participants were given a daily vitamin D supplement of 1000 IU, and their vitamin D levels were measured at 3-month intervals. The study found that more than half of the participants had vitamin D deficiency, which is consistent with the rates reported in other studies. However, vitamin D supplementation at the given dosage had a small effect and did not significantly increase vitamin D levels in pregnant women. Moreover, vitamin D-rich diets had no significant impact on vitamin D levels. The study emphasizes the importance of identifying effective strategies for preventing and treating vitamin D deficiency during pregnancy. The findings suggest that current strategies advised by international and national guidelines may not be sufficient to address the problem. Further research is needed to identify more effective approaches, including screening, higher safe dosages, and monitoring responses after 3 months of treatment. In summary, vitamin D deficiency is common among pregnant women, and current strategies may not be enough to address the issue. The study highlights the need for effective approaches to prevent and treat vitamin D deficiency during pregnancy, and further research is needed to find these strategies.

Recovery of functionally active recombinant human phospholipid scramblase 1 from inclusion bodies using N-lauroyl sarcosine.

Human phospholipid scramblase (hPLSCR1) is a transmembrane protein involved in rapid bidirectional scrambling of phospholipids across the plasma membrane in response to elevated intracellular calcium (Ca(2+)) levels. Overexpression of recombinant hPLSCR1 in Escherichia coli BL21 (DE3) leads to its deposition in inclusion bodies (IBs). N-lauroyl sarcosine was used to solubilize IBs and to recover functionally active hPLSCR1 from them. Protein was purified to homogeneity by nickel-nitrilotriacetic acid (Ni(2+)-NTA) affinity chromatography and was >98% pure. Functional activity of the purified protein was validated by in vitro reconstitution studies, ~18% of 7-nitrobenz-2-oxa-1, 3-diazol-4-yl-phosphatidylcholine (NBD-PC) phospholipids was translocated across the lipid bilayer in the presence of Ca(2+) ions. Far ultraviolet circular dichroism (UV-CD) studies reveal that the secondary structure of protein is predominantly an α-helix, and under nondenaturing conditions, the protein exists as a monomer. Here we describe a method to purify recombinant membrane protein with higher yield than previously described methods involving renaturation techniques.

Correction to: Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review.

[This corrects the article DOI: 10.1007/s11042-022-12952-7.].

Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review.

Since early 2020, Coronavirus Disease 2019 (COVID-19) has spread widely around the world. COVID-19 infects the lungs, leading to breathing difficulties. Early detection of COVID-19 is important for the prevention and treatment of pandemic. Numerous sources of medical images (e.g., Chest X-Rays (CXR), Computed Tomography (CT), and Magnetic Resonance Imaging (MRI)) are regarded as a desirable technique for diagnosing COVID-19 cases. Medical images of coronavirus patients show that the lungs are filled with sticky mucus that prevents them from inhaling. Today, Artificial Intelligence (AI) based algorithms have made a significant shift in the computer aided diagnosis due to their effective feature extraction capabilities. In this survey, a complete and systematic review of the application of Machine Learning (ML) methods for the detection of COVID-19 is presented, focused on works that used medical images. We aimed to evaluate various ML-based techniques in detecting COVID-19 using medical imaging. A total of 26 papers were extracted from ACM, ScienceDirect, Springerlink, Tech Science Press, and IEEExplore. Five different ML categories to review these mechanisms are considered, which are supervised learning-based, deep learning-based, active learning-based, transfer learning-based, and evolutionary learning-based mechanisms. A number of articles are investigated in each group. Also, some directions for further research are discussed to improve the detection of COVID-19 using ML techniques in the future. In most articles, deep learning is used as the ML method. Also, most of the researchers used CXR images to diagnose COVID-19. Most articles reported accuracy of the models to evaluate model performance. The accuracy of the studied models ranged from 0.84 to 0.99. The studies demonstrated the current status of AI techniques in using AI potentials in the fight against COVID-19.

Courage: A Potential Mediator of the Relationship Between Personality and Social Anxiety.

Social anxiety is one of the most prevalent and chronic mental-health conditions in young adults. To date, no studies have been conducted about the relationships between the Big Five personality dimensions, courage, and social anxiety among Malaysian undergraduate students. Therefore, this study was designed to examine courage as a potential mediator of the association between the Big Five personality dimensions and social anxiety among Malaysian Undergraduates. In this study, 500 Malaysian undergraduate students (205 males and 295 females) completed a series of questionnaires. Structural equation modelling (AMOS-SEM) revealed that, of the Big Five, neuroticism and social anxiety were positively correlated. Extraversion, conscientiousness, openness to experience, and agreeableness, as well as courage, were negatively correlated with social anxiety. Courage mediated the relationship between the Big Five personality dimensions and social anxiety. The main contribution of the present research is to show how the Big Five personality dimensions may contribute to social anxiety. The findings of this study also could be implicated for counselling practice for undergraduate students in Malaysia as a collectivist setting and other collectivist settings around the world.

Psychometric Properties of the Reflective Function Questionnaire in Iranian Prisoners.

Reflective functioning is the process of reflecting on the thoughts and feelings of oneself and others and is foundational to healthy human relationships. The 54-item Reflective Function Questionnaire (RFQ) is a self-report measure that assesses reflective functioning, initially developed while studying individuals with borderline personality disorder (BPD) . The purpose of the present study was to translate the RFQ from English to Persian and evaluate its reliability and validity among Iranian prisoners. The sample of this study included 509 (455 men and 54 women) Iranian prisoners. Findings confirm the translated measure had acceptable face and content validity. A confirmatory factor analysis (CFA) confirmed two dimensions of certainty (RFQ-c) and uncertainty (RFQ-u) of reflective functioning. The correlation analysis showed positive relationships between the dimensions of the RFQ and the borderline personality symptoms questionnaire and the emotional dissatisfaction questionnaire. Correlation analysis also showed negative associations between the dimensions of the RFQ and the Toronto Basic Empathy Scale (BES) and the Kentucky Inventory of Mindfulness Skills (KIMS) questionnaire, confirming the concurrent validity of the RFQ. The Cronbach's alphas of the RFQ-c and RFQ-u subscales were .69 and .7 respectively, which demonstrated relatively acceptable internal consistency. The results of the analysis demonstrated that the translated RFQ had desirable psychometric properties for evaluating reflective function among Iranian prisoners.

Rabies in the Middle East, Eastern Europe, Central Asia and North Africa: Building evidence and delivering a regional approach to rabies elimination.

The Middle East, Eastern Europe, Central Asia and North Africa Rabies Control Network (MERACON), is built upon the achievements of the Middle East and Eastern Europe Rabies Expert Bureau (MEEREB). MERACON aims to foster collaboration among Member States (MS) and develop shared regional objectives, building momentum towards dog-mediated rabies control and elimination. Here we assess the epidemiology of rabies and preparedness in twelve participating MS, using case and rabies capacity data for 2017, and compare our findings with previous published reports and a predictive burden model. Across MS, the number of reported cases of dog rabies per 100,000 dog population and the number of reported human deaths per 100,000 population as a result of dog-mediated rabies appeared weakly associated. Compared to 2014 there has been a decrease in the number of reported human cases in five of the twelve MS, three MS reported an increase, two MS continued to report zero cases, and the remaining two MS were not listed in the 2014 study and therefore no comparison could be drawn. Vaccination coverage in dogs has increased since 2014 in half (4/8) of the MS where data are available. Most importantly, it is evident that there is a need for improved data collection, sharing and reporting at both the national and international levels. With the formation of the MERACON network, MS will be able to align with international best practices, while also fostering international support with other MS and international organisations.

Effect of maternal growth monitoring knowledge on stunting, wasting and underweight among children 0-18 months in Tamale metropolis of Ghana.

OBJECTIVE: This study sought to assess maternal growth monitoring knowledge and its effect on stunting, wasting and underweight among children 0-18 months in the Tamale Metropolis. An analytical cross-sectional study design, involving 340 mother-child pairs randomly selected from 4 health facilities in the Tamale Metropolis was used. A structured questionnaire was used to collect information on socio-demographic characteristics and maternal growth monitoring knowledge. Weight and length of children were taken to assess nutritional status (stunting, underweight and wasting). Chi square/Fisher's exact test was used to determine the association between maternal growth monitoring knowledge level and child nutritional status. RESULTS: The study revealed that 87.6% of mothers had good knowledge on growth monitoring. The prevalence of stunting, underweight and wasting were 9.4%, 25.9% and 17.9% respectively. Bivariate analysis revealed that there is no association between maternal growth monitoring knowledge and stunting (p = 0.781), wasting (p = 0.743) and underweight (p = 0.529) among children 0-18 months in the Tamale Metropolis.

Cholestasis secondary to hyperthyroidism made worse by methimazole.

A 28-year-old man presented with weight loss, jaundice, and pruritus. This was diagnosed to be secondary to Graves disease and the patient was prescribed methimazole. He returned 2 weeks later with worsening of his jaundice. Further investigation, including liver biopsy, indicated that there was superimposed methimazole-induced cholestasis. Discontinuation of methimazole and treatment of hyperthyroidism with lithium followed by radioactive iodine therapy resulted in resolution of his symptoms. This case highlights the fact that worsening cholestasis after therapy for Graves disease should raise the possibility of thionamide-induced exaggeration of liver cholestasis.