SYNTHESIS, ANTICANCER ACTIVITY AND MOLECULAR DOCKING STUDY OF NOVEL 1, 3-DIHETEROCYCLES INDOLE DERIVATIVES

Objective: The present work aimed to synthesize some new 1, 3-diheterocyles indolyl derivatives and study their cytotoxic activity. In addition, explore the probability of the most promising antiproliferative compounds to inhibit TopoI enzyme theoretically via molecular docking study.Methods: Reaction of ethyl 2-(3-formyl-1H-indol-1-yl)acetate (1) with 2-cyanoacetic acid hydrazide, 3-amino-5-pyrazolone and 2'-acetyl-2-cyanoacetohydrazide in an equal molar ratio led to the formation of compounds 2, 6, 8 and 10, respectively, which in turn reacted with another molecule of 2-cyanoacetic acid hydrazide and/or 3-amino-5-pyrazolone (1:1 molar ratio) to give novel series of 1,3-dipyrazole indole derivatives 3, 7, 9 and 11, respectively. On the other hand, Knoevenagel condensation of 1 with malononitrile gave ethyl 2-(3-(2, 2-dicyanovinyl)-1H-indol-1-yl) acetate (11). Reaction of 11 with 2-cyanoacetic acid hydrazide, 3-amino-5-pyrazolone, hydrazine hydrate, urea, thiourea and/or guanidine yielded 1, 6-diaminopyridine 12, pyrano(2,3-c)pyrazole 14, pyrazole 16 and pyrimidine derivatives 18a-c, respectively. Reaction of the latter compounds with 3-amino-5-pyrazolone furnished a novel series of 1, 3-diheterocycle indole derivatives 13, 15, 17 and 19a-c, respectively. Ten new target compounds 3, 6, 8, 10, 13, 15, 17 and 19a-c were tested for in vitro antiproliferative activity against A-549, MCF7, HCT-116 and HEPG2 cancer cell lines. In addition, molecular docking study of the most promising antiproliferative compounds against human DNA Topoisomerase I (PDB ID: 1T8I) theoretically is discussed.Results: Compounds 3, 6, 8 and 17 showed potent in vitro antiproliferative activity. Docking scores of the latter compounds were observed better than co-crystalline ligand.Conclusion: Further work is recommended to confirm the inhibition of TopoI in a specific bioassay

Burnout among surgeons before and during the SARS-CoV-2 pandemic: an international survey

Background: SARS-CoV-2 pandemic has had many significant impacts within the surgical realm, and surgeons have been obligated to reconsider almost every aspect of daily clinical practice. Methods: This is a cross-sectional study reported in compliance with the CHERRIES guidelines and conducted through an online platform from June 14th to July 15th, 2020. The primary outcome was the burden of burnout during the pandemic indicated by the validated Shirom-Melamed Burnout Measure. Results: Nine hundred fifty-four surgeons completed the survey. The median length of practice was 10 years; 78.2% included were male with a median age of 37 years old, 39.5% were consultants, 68.9% were general surgeons, and 55.7% were affiliated with an academic institution. Overall, there was a significant increase in the mean burnout score during the pandemic; longer years of practice and older age were significantly associated with less burnout. There were significant reductions in the median number of outpatient visits, operated cases, on-call hours, emergency visits, and research work, so, 48.2% of respondents felt that the training resources were insufficient. The majority (81.3%) of respondents reported that their hospitals were included in the management of COVID-19, 66.5% felt their roles had been minimized; 41% were asked to assist in non-surgical medical practices, and 37.6% of respondents were included in COVID-19 management. Conclusions: There was a significant burnout among trainees. Almost all aspects of clinical and research activities were affected with a significant reduction in the volume of research, outpatient clinic visits, surgical procedures, on-call hours, and emergency cases hindering the training. Trial registration: The study was registered on clicaltrials.gov "NCT04433286" on 16/06/2020

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

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

Determination of allowed transitions types and the optical parameters of Se–Ge–Ag chalcogenide films

Amorphous Se0.68Ge0.24Ag0.08 films were prepared by the known thermal evaporation method. X-ray diffraction (XRD) and energy dispersive X-ray (EDX) analysis were used to identify the structure of the prepared samples. Transmittance T(λ) was measured at room temperature in the wave length range (400–2500 nm) for the investigated films of different thicknesses in range (221.2–815.2 nm). Swanepoel’s method was used to calculate the index of refraction n and absorption k. The allowed transitions in the studied composition are indirect. Values of optical band gap Egopt were determined using two different methods. The obtained values of Egopt are equal 1.90 and 1.91 eV, also the value of Urbach energy Ee equal 0.50 ± 0.01 eV. Dispersion of refractive index n is analyzed using a single-oscillator model. The optical high frequency dielectric constant ε∞ and the optical dispersion parameters (Eo and Ed) were calculated by analyzing the obtained values of n. The obtained values of Eo, Ed and the average value of ε∞ are found to be 5.36 eV, 18.86 eV and 4.60, respectively. The ratio N∕m* for the investigated composition is 3.87 × 1055 m−3. The dependence of real ε1 and imaginary ε2 parts of dielectric constant, relaxation time τ and the optical conductivity σopt on photon energy hν was also studied for Se0.68Ge0.24Ag0.08 films. The obtained results showed that ε1, ε2, τ and σopt increased with photon energy

MAC-ErrorReads: machine learning-assisted classifier for filtering erroneous NGS reads

Abstract Background The rapid advancement of next-generation sequencing (NGS) machines in terms of speed and affordability has led to the generation of a massive amount of biological data at the expense of data quality as errors become more prevalent. This introduces the need to utilize different approaches to detect and filtrate errors, and data quality assurance is moved from the hardware space to the software preprocessing stages. Results We introduce MAC-ErrorReads, a novel Machine learning-Assisted Classifier designed for filtering Erroneous NGS Reads. MAC-ErrorReads transforms the erroneous NGS read filtration process into a robust binary classification task, employing five supervised machine learning algorithms. These models are trained on features extracted through the computation of Term Frequency-Inverse Document Frequency (TF_IDF) values from various datasets such as E. coli, GAGE S. aureus, H. Chr14, Arabidopsis thaliana Chr1 and Metriaclima zebra. Notably, Naive Bayes demonstrated robust performance across various datasets, displaying high accuracy, precision, recall, F1-score, MCC, and ROC values. The MAC-ErrorReads NB model accurately classified S. aureus reads, surpassing most error correction tools with a 38.69% alignment rate. For H. Chr14, tools like Lighter, Karect, CARE, Pollux, and MAC-ErrorReads showed rates above 99%. BFC and RECKONER exceeded 98%, while Fiona had 95.78%. For the Arabidopsis thaliana Chr1, Pollux, Karect, RECKONER, and MAC-ErrorReads demonstrated good alignment rates of 92.62%, 91.80%, 91.78%, and 90.87%, respectively. For the Metriaclima zebra, Pollux achieved a high alignment rate of 91.23%, despite having the lowest number of mapped reads. MAC-ErrorReads, Karect, and RECKONER demonstrated good alignment rates of 83.76%, 83.71%, and 83.67%, respectively, while also producing reasonable numbers of mapped reads to the reference genome. Conclusions This study demonstrates that machine learning approaches for filtering NGS reads effectively identify and retain the most accurate reads, significantly enhancing assembly quality and genomic coverage. The integration of genomics and artificial intelligence through machine learning algorithms holds promise for enhancing NGS data quality, advancing downstream data analysis accuracy, and opening new opportunities in genetics, genomics, and personalized medicine research

Stem cell therapy as a novel therapeutic intervention for resistant cases of alopecia areata and androgenetic alopecia

Background: Management of alopecia areata (AA) and androgenetic alopecia (AGA) is often challenging as patients may be resistant to currently available modalities of treatment. The use of stem cells may be a novel option for resistant cases. Objective: To evaluate the safety and efficacy of the use of autologous bone marrow derived mononuclear cells (including stem cells) as compared to follicular stems cells for the management of resistant cases of AA and AGA. Methods: This study included 40 patients (20 AA patients and 20 AGA patients), all patients were treated with a single session of intradermal injection of autologous stem cells (SCs) therapy. They were divided into four groups according to the applied modality [either autologous bone marrow derived mononuclear cells (bone marrow mononuclear cells [BMMCs] or autologous follicular stem cells [FSC]). Results: Six months after stem cell therapy (SCT) injection, there was a significant improvement, confirmed by immunostaining and digital dermoscopy. The mean improvement in all groups was “very good”. There was no significant difference between both methods in either type of alopecia. No serious adverse events were reported. Conclusion: Autologous BMMCs and FSC seem to be a safe tolerable and effective treatment for the management of both resistant AA and AGA

Accelerating Hepatitis C virus elimination in Egypt by 2030: A national survey of communication for behavioral development as a modelling study.

Aim of the workThis study aimed at assessing the dominance of risk practices associated with HCV endemicity in Egypt and detecting the behavioral development level concerning different aspects of HCV risk behaviors with respect to age and gender. The survey highlights the most cost-effective strategies that could accelerate HCV elimination in Egypt.Subjects and methodsA national household survey targeted 3780 individuals (age range: 10-85 years). The sample was a systematic probability proportionate to size from 6 governorates representing the six major subdivisions of Egypt. The indicators used for assessing the behavioral development level towards HCV included six domains: awareness (7 indicators), perceived risk (5 indicators), motivation with the intention to change (4 and 5 indicators for males and females respectively), trial, rejection or adoption (6 and 5 indicators for males and females respectively).ResultsThe study revealed that along the continuum of behavior development, the percentage of the participants who acquired half of the scores was as follows: 73.1% aware, 69.8% developed perceived risk, 80.6% motivated with only 28.9% adopting the recommended behaviors, 32% rejected them, 2.3% were in the trial stage versus 35.8% who did not try any. Adolescents had significantly lower levels of development for almost all domains when compared to adults. Statistical higher significance was detected in favor of adults, employees, married, Lower Egypt governorates, and university-educated participants (pConclusionEgypt would be closer to HCV elimination when cost-effective strategies are directed not towards creating awareness, perceived risk or motivation to change- (at an acceptable level)- but towards motivating adopting risk-reduction behaviors for HCV, tackling misconceptions and reinforcement of social support

National screening for developmental delays and their determinants among Egyptian school age children: A step towards implementing life skills programs.

AimThis study aimed to estimate the national prevalence of developmental delays (DDs) and their determinants among Egyptian children aged 6 to 12 years. Such estimation is a prerequisite step toward the application of Life Skill Education (LSE) programs that will potentiate children's future capabilities.MethodsVineland Adaptive Behavior Scales" was used as a reliable and diagnostic test for DDs screening during this national cross sectional study. Gross motor (GM), fine motor (FM), daily living skills, communication, and socialization skills were assessed. The multivariate logistic regression analysis was used to identify factors associated with DDs. The Adjusted Odds Ratio (AOR) with a 95% Confidence Interval was estimated to indicate the strength of association. A p-value of ResultsOut of the 20324 surveyed school-aged children, 7.4% were found to have at least one delay. Communication deficits were the most common (6.4%) followed by delay in daily living skills (2.0%). The final model of logistic regression had a good fit for seven variables out of the sociodemographic, epidemiological characteristics, maternal and perinatal problems that were associated with a higher likelihood of at least one DD: Children suffering from any convulsions (AOR = 4.32; 95% CI: 3.18-5.88), male gender (AOR = 1.86; 95% CI: 1.65-2.09), birth weight less than 2.5 kg (AOR = 1.77; 95% CI: 1.40-2.24), history of maternal health problem during pregnancy (AOR = 1.64; 95% CI:1.34-2.01), children staying in an incubator for more than two days (AOR = 1.57, 95% CI: 1.29-1.91), having less educated fathers (AOR = 1.55, 95% CI: 1.24-1.95) and belonging to the middle social class (AOR = 1.40, 95% CI: 1.24-1.58).ConclusionThe identified types and determinants for each DD are allowing for the implementation of tailored programs for school children's life skills promotion for achieving the most sustainable effects on children's biological and psychological health and well-being