101 research outputs found

    Toxic effects of four biopesticides (Mycotal, Vertalec, Vertemic and Neem Azal-T/S) on Bemisia tabaci (Gennadius) and Aphis gossypii (Glover) on cucumber and tomato plants in greenhouses in Egypt

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    Laboratory bioassays and field trials were performed to evaluate and compare the efficacy of 4 biopesticides, Mycotal, Vertalec, Vertemic and NeemAzal-T/S, against Bemisia tabaci (immature stages and adults) and Aphis gossypii on cucumber and tomato plants in greenhouses in Egypt. All these biopesticides reduced significantly whitefly and aphid populations. In laboratory bioassays Vertemic caused the highest toxic effect against whitefly and aphid, while in field experiments good results were obtained with all the compounds especially at high concentrations. The higher the concentration of these products the more severe was the effect. The data of this study suggest that these biopesticides are really useful alternative products to be used in IPM of tomato and cucumber crops. Key words: whitefly, aphid, Verticillium lecanii, Abamectin, Azadirachtin. TOSSICITÀ DI QUATTRO BIOINSETTICIDI (MYCOTAL, VERTALEC, VERTEMIC E NEEM AZAL-T/S) SU BEMISIA TABACI (GENNADIUS) E APHIS GOSSYPII (GLOVER) IN COLTURE PROTETTE DI ZUCCHINO E POMODORO IN EGITTO Effetti tossici di 4 biopesticidi, Mycotal, Vertalec, Vertemic e Neem Azal–T/S su Bemisia tabaci (Gennadius) e Aphis gossypii (Glover) in coltivazioni sotto serra di cetriolo e pomodoro in Egitto. In questo studio sono stati effettuati esperimenti di laboratorio e di campo per valutare l’efficacia di 4 bioinsetticidi, Mycotal, Vertalec, Vertemic e NeemAzal-T/S9, nei confronti di Bemisia tabaci (stadi giovanili e adulti) e Aphis gossypii su coltivazioni in serra di cetriolo e pomodoro in Egitto. Tutti i prodotti testati hanno avuto un effetto tossico su B. tabaci e Aphis gossypii riducendone le popolazioni in maniera significativa. Nei biosaggi di laboratorio il Vertimec ha evidenziato l’effetto tossico maggiore, mentre negli esperimenti di campo sono stati ottenuti buoni risultati (% di mortalità) da tutti i prodotti, soprattutto quando utilizzati alle dosi più elevate. Più alte le concentrazioni delle sospensioni bioinsetticide, maggiore l’effetto tossico ottenuto. Questi dati mostrano l’efficacia di questi prodotti e confermano il loro potenziale utilizzo nelle strategie di controllo integrato delle coltivazione di cetriolo e pomodoro in serra. Parole chiave: aleirodidi, afidi, Verticillium lecanii, Abamectina, Azadiractina

    Predictor factors of sustained virological response in patients with chronic hepatitis C treated with current direct-acting antiviral drugs

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    Purpose: To assess the efficacy and predictors of treatment response of chronic hepatitis C genotype 4 Egyptian patients with sofosbuvir and daclatasvir, with or without ribavirin.Methods: This prospective study enrolled 200 patients with chronic hepatitis C virus (HCV) genotype 4 infection who received sofosbuvir plus daclatasvir for 12 weeks, with the addition of ribavirin for treating cirrhotic patients. Immunological parameters such as natural killer (NK) cell percentage, phenotype, and serum C-X-C motif chemokine 10 (CXCL10) were evaluated prior to treatment and at the end of the treatment.Results: Overall, 92.5 % of the patients achieved sustained virological response at 12 weeks (SVR12), where the non-cirrhotic group had 96.29 % SVR12, while the cirrhotic group had 84.61 % SVR12. Nonresponders had lower pretreatment platelet count, higher CXCL10 levels, and lower baseline frequencies of NK cells and NK subgroup CD56- CD16+.Conclusion: Based on these results, the use of sofosbuvir plus daclatasvir with or without ribavirin for 12 weeks, is an effective regimen in the treatment of Egyptian patients infected with genotype 4 HCV. The predictors of non-response are advanced age, liver cirrhosis, lower pretreatment platelet count, higher level of CXCL10, lower baseline NK cells frequency and percentage of the dysfunctional subset CD56- CD16+. Keywords: Hepatitis C virus, Genotype 4, Sofosbuvir, Daclatasvir, Sustained virological respons

    IN VITRO CULTURE AND STUDYING THE CHEMICAL COMPOSITION OF THE ESSENTIAL OILS EXTRACTED FROM THREE SAMPLES OF ERIOCEPHALUS AFRICANUS L. PLANT IN EGYPT

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    The present study aimed to establish new protocol for propagation via tissue culture techniques to observe the effect of plant growth regulators especially cytokinins, gibberellic acid and auxins with different concentrations on in vitro growth of Eriocephalus africanus L. for improving the potentiality of regeneration and secondary metabolites production and identification of the main active constituents of volatile oil by GC/MS. The results showed that, the best sterilization treatment was the shoot tip explants rinsed in a solution of clorox at 15% for 15 min was gave the highest values for survival percentage and plant strength 100% and 4.58, respectively also B5 medium at full strength gave the best results in the both growth measurements. BAP at 2.00 mg/l recorded the highest values in survival percentage (93.33%), shootlet number/cluster (16.50) and shootlet strength (4.50), respectively. Using the high level from GA3 (4.00 mg/l) in medium was more effective in the elongation of shootlets. In rooting stage B5 medium supplemented with 0.50 mg/l IBA and 0.15% active charcoal was more effective for increasing root number/explant to 8.67 and root length to 5.78 cm. The chemical analysis for the volatile oils extracted from three samples (field, in vivo and in vitro) of Eriocephalus africanus L. by using GC/MS confirmed that, the total number of the constituents identified ranged from 30-34 compounds representing 79.67-99.41% of the total oil contents. Artemisia ketone (17.10-30.62%), bicyclogermacrene (4.14-15.56%), globulol (2.17-8.30%), allo-aromadendrene epoxide (0.51-9.00%), caryophyllene oxide (2.85-6.76%) and α-pinene (3.10-4.25%) were the main compounds

    THE IMPACT OF THE PROBIOTIC BACTERIA ON THE CONTAMINATED MICROBIAL OF THE FEMALE GENITAL TRACT AND ITS EFFECT ON THE IVF OUTCOME

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    The microbial contamination of the female genital tract has effect on the ivf outcome and negatively effect on fertility, fertilization and implantation rate. Lactobacillus sp. is the dominant organism of the vaginal flora that have an important role in the inhibition of pathogen. 48 patients were selected for this study aged between 20-40 years, During embryo transfer, 3 samples were collected from each patient from vagina, end cervical canal and the tip of the catheter. The samples were assayed microbiology. The microbial culture contained natural flora and pathogen organism .The isolated pathogens were identified as Klebsilla pneumonia, Escherichia coli, Candida albicans, C. tropicalis, C. famata, C. parapsilosis, C. catenulate according to Bergeyˊs manual and confirmed by VITEK System. Candida sp found to be the most frequent infemale genital tract. The probiotic (Lactobacillus. acidophilus) and its metabolites (bacteriocin) were inhibited growth of isolated pathogenic microbial  in vitro.The result showed that L. acidophilus and their metabolite bacteriocin have antagonistic activity against pathogenic microbes.                 Recommendation: Oral or transvaginal administration of Lactobacillus or bacteriocin antiseptics; disinfected; maintain a health vagina and prevent the infection of the reproductive tract

    Identifying demographic, social and clinical predictors of biologic therapy effectiveness in psoriasis: a multicentre longitudinal cohort study.

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    BACKGROUND: Biologic therapies have revolutionized the treatment of moderate-to-severe psoriasis. However, for reasons largely unknown, many patients do not respond or lose response to these drugs. OBJECTIVES: To evaluate demographic, social and clinical factors that could be used to predict effectiveness and stratify response to biologic therapies in psoriasis. METHODS: Using a multicentre, observational, prospective pharmacovigilance study (BADBIR), we identified biologic-naive patients starting biologics with outcome data at 6 (n = 3079) and 12 (n = 3110) months. Associations between 31 putative predictors and outcomes were investigated in univariate and multivariable regression analyses. Potential stratifiers of treatment response were investigated with statistical interactions. RESULTS: Eight factors associated with reduced odds of achieving = 90% improvement in Psoriasis Area and Severity Index (PASI 90) at 6 months were identified (described as odds ratio and 95% confidence interval): demographic (female sex, 0·78, 0·66-0·93); social (unemployment, 0·67, 0·45-0·99); unemployment due to ill health (0·62, 0·48-0·82); ex- and current smoking (0·81, 0·66-0·99 and 0·79, 0·63-0·99, respectively); clinical factors (high weight, 0·99, 0·99-0·99); psoriasis of the palms and/or soles (0·75, 0·61-0·91); and presence of small plaques only compared with small and large plaques (0·78, 0·62-0·96). White ethnicity (1·48, 1·12-1·97) and higher baseline PASI (1·04, 1·03-1·04) were associated with increased odds of achieving PASI 90. The findings were largely consistent at 12 months. There was little evidence for predictors of differential treatment response. CONCLUSIONS: Psoriasis phenotype and potentially modifiable factors are associated with poor outcomes with biologics, underscoring the need for lifestyle management. Effect sizes suggest that these factors alone cannot inform treatment selection

    Clinical impact and 'natural' course of uncorrected tricuspid regurgitation after implantation of a left ventricular assist device: an analysis of the European Registry for Patients with Mechanical Circulatory Support (EUROMACS)

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    OBJECTIVES: Data on the impact and course of uncorrected tricuspid regurgitation (TR) during left ventricular assist device (LVAD) implantation are scarce and inconsistent. This study explores the clinical impact and natural course of uncorrected TR in patients after LVAD implantation. METHODS: The European Registry for Patients with Mechanical Circulatory Support was used to identify adult patients with LVAD implants without concomitant tricuspid valve surgery. A mediation model was developed to assess the association of TR with 30-day mortality via other risk factors. Generalized mixed models were used to model the course of post-LVAD TR. Joint models were used to perform sensitivity analyses. RESULTS: A total of 2496 procedures were included (median age: 56 years; men: 83%). TR was not directly associated with higher 30-day mortality, but mediation analyses suggested an indirect association via preoperative elevated right atrial pressure and creatinine (P = 0.035) and bilirubin (P = 0.027) levels. Post-LVAD TR was also associated with increased late mortality [hazard ratio 1.16 (1.06-1.3); P = 0.001]. On average, uncorrected TR diminished after LVAD implantation. The probability of having moderate-to-severe TR immediately after an implant in patients with none-to-mild TR pre-LVAD was 10%; in patients with moderate-to-severe TR pre-LVAD, it was 35% and continued to decrease in patients with moderate-to-severe TR pre-LVAD, regardless of pre-LVAD right ventricular failure or pulmonary hypertension. CONCLUSIONS: Uncorrected TR pre-LVAD and post-LVAD is associated with increased early and late mortality. Nevertheless, on average, TR diminishes progr

    Comparison of traditional and DNA metabarcoding samples for monitoring tropical soil arthropods (Formicidae, Collembola and Isoptera)

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    The soil fauna of the tropics remains one of the least known components of the biosphere. Long-term monitoring of this fauna is hampered by the lack of taxonomic expertise and funding. These obstacles may potentially be lifted with DNA metabarcoding. To validate this approach, we studied the ants, springtails and termites of 100 paired soil samples from Barro Colorado Island, Panama. The fauna was extracted with Berlese-Tullgren funnels and then either sorted with traditional taxonomy and known, individual DNA barcodes (“traditional samples”) or processed with metabarcoding (“metabarcoding samples”). We detected 49 ant, 37 springtail and 34 termite species with 3.46 million reads of the COI gene, at a mean sequence length of 233 bp. Traditional identification yielded 80, 111 and 15 species of ants, springtails and termites, respectively; 98%, 37% and 100% of these species had a Barcode Index Number (BIN) allowing for direct comparison with metabarcoding. Ants were best surveyed through traditional methods, termites were better detected by metabarcoding, and springtails were equally well detected by both techniques. Species richness was underestimated, and faunal composition was different in metabarcoding samples, mostly because 37% of ant species were not detected. The prevalence of species in metabarcoding samples increased with their abundance in traditional samples, and seasonal shifts in species prevalence and faunal composition were similar between traditional and metabarcoding samples. Probable false positive and negative species records were reasonably low (13–18% of common species). We conclude that metabarcoding of samples extracted with Berlese-Tullgren funnels appear suitable for the long-term monitoring of termites and springtails in tropical rainforests. For ants, metabarcoding schemes should be complemented by additional samples of alates from Malaise or light traps

    Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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    Background: Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. Methods: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model—a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates—with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality—which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. Findings: The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2–100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1–290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1–211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4–48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3–37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7–9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. Interpretation: Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. Funding: Bill & Melinda Gates Foundation

    Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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    Background: Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. Methods: The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk–outcome pairs. Pairs were included on the basis of data-driven determination of a risk–outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk–outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk–outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. Findings: Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7–9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4–9·2]), smoking (5·7% [4·7–6·8]), low birthweight and short gestation (5·6% [4·8–6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8–6·0]). For younger demographics (ie, those aged 0–4 years and 5–14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9–27·7]) and environmental and occupational risks (decrease of 22·0% [15·5–28·8]), coupled with a 49·4% (42·3–56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9–21·7] for high BMI and 7·9% [3·3–12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6–1·9) for high BMI and 1·3% (1·1–1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4–78·8) for child growth failure and 66·3% (60·2–72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). Interpretation: Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions. Funding: Bill & Melinda Gates Foundation
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