24 research outputs found
Effect of nicin z on some of spoilage chemical and bacterial properties in surimi of kilka (Clupeonella cultriventris caspia) stored in 4°C
The effect of antibacterial and antioxidant of nicin z in two forms (free and encapsulated) was investigated on Total Viable Count (TVC) , Psychrotrophic Counts (PTC) , Peroxide Value (PV) , Thiobarbituric acid (TBA) and Total volatile nitrogen (TVN) in zero, 3, 6, 9, 12, 15 days of storage.Two concentrations (700IU/gr ,1000IU/gr) of free and encapsulated nicin in liposome (by spray-dried method) were added as spray on surimi of kilka and one treatment was selected as a control. The results showed that change of chemical and bacterial parameters in treatment of encapsulated nicin was lower than free nicin and control treatments. Concentration of 1000IU/gr of nicin was better than results of other treatments. The shelf life of surimi of kilka in control, free and encapsulated nicin treatments for bacterial results were 9,12 , 15 days, respectively, and for TBA , TVN and PV were 6 , 15 and at least 15 days, respectively. The conclusion was that encapsulated nicin in liposome improved shelf life of surimi of kilka
Common variants in the regulative regions of GRIA1 and GRIA3 receptor genes are associated with migraine susceptibility
<p>Abstract</p> <p>Background</p> <p>Glutamate is the principal excitatory neurotransmitter in the central nervous system which acts by the activation of either ionotropic (AMPA, NMDA and kainate receptors) or G-protein coupled metabotropic receptors. Glutamate is widely accepted to play a major role in the path physiology of migraine as implicated by data from animal and human studies. Genes involved in synthesis, metabolism and regulation of both glutamate and its receptors could be, therefore, considered as potential candidates for causing/predisposing to migraine when mutated.</p> <p>Methods</p> <p>The association of polymorphic variants of <it>GRIA1</it>-<it>GRIA4 </it>genes which encode for the four subunits (GluR1-GluR4) of the alpha-amino-3- hydroxy-5-methyl-4-isoxazole-propionic acid (AMPA) receptor for glutamate was tested in migraineurs with and without aura (MA and MO) and healthy controls.</p> <p>Results</p> <p>Two variants in the regulative regions of <it>GRIA1 </it>(rs2195450) and <it>GRIA3 </it>(rs3761555) genes resulted strongly associated with MA (P = 0.00002 and P = 0.0001, respectively), but not associated with MO, suggesting their role in cortical spreading depression. Whereas the rs548294 variant in <it>GRIA1 </it>gene showed association primarily with MO phenotype, supporting the hypothesis that MA and MO phenotypes could be genetically related. These variants modify binding sites for transcription factors altering the expression of <it>GRIA1 </it>and <it>GRIA3 </it>genes in different conditions.</p> <p>Conclusions</p> <p>This study represents the first genetic evidence of a link between glutamate receptors and migraine.</p
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Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
Background
Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period.
Methods
22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution.
Findings
Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations.
Interpretation
Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic
Analysis of the reports from action research on using virtual design studio in architectural design education
This dataset is the qualitative analysis of written reports on what happened, said, and showed in a virtual design studio (VDS). The analysis was used in an action research project that intended to investigate the characteristics of a successful action plan for architectural design teaching in VDS. The research had six cycles. The documents in the file (the file is a bundle export of Atlas.ti software) are grouped based on the cycles. Each document went through three phases of open, axial, and selective coding.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Potentially Toxic Elements (PTEs) in the Fillet of Narrow-Barred Spanish Mackerel (Scomberomorus commerson): a Global Systematic Review, Meta-analysis and Risk Assessment
The contamination of seafood like narrow-barred Spanish mackerel (Scomberomorus commerson) fillets by potentially toxic elements (PTEs) has converted to worldwide health concerns. In this regard, the related citations regarding the concentration of PTEs in fillets of narrow-barred Spanish mackerel were collected through some of the international databases such as Scopus, Cochrane, PubMed, and Scientific Information Database (SID) up to 10 March 2020. The concentration of PTEs in fillets of narrow-barred Spanish mackerel fish was meta-analyzed and the health risk (non-carcinogenic risk) was estimated by the total target hazard quotient (TTHQ). The meta-analysis of data indicated that the rank order of PTEs in fillet of narrow-barred Spanish mackerel was Fe (10,853.29 μg/kg-ww) > Zn (4007.00 μg/kg-ww) > Cu (1005.66 μg/kg-ww) > total Cr (544.14 μg/kg-ww) > Mn (515.93 μg/kg-ww) > Ni (409.90 μg/kg-ww) > Pb (180.99 μg/kg-ww) > As (93.11 μg/kg-ww) > methyl Hg (66.60 μg/kg-ww) > Cd (66.03 μg/kg-ww). The rank order of health risk assessment based on the country by the aid of TTHQ for adult consumers was Malaysia (0.22251) > Philippines (0.21912) > Egypt (0.08684) > Taiwan (0.07430) > Bahrain (0.04893) > Iran (0.03528) > China (0.00620) > Pakistan (0.00316) > Yemen (0.00157) > India (0.00073). In addition, the rank order of health risk assessment based on the country by the aid of TTHQ for child consumers was Malaysia (1.03838) > Philippines (1.02257) > Egypt (0.40523) > Taiwan (0.34674) > Bahrain (0.22832) > Iran (0.16466) > China (0.02892) > Pakistan (0.01474) > Yemen (0.00731) > India (0.00340). Therefore, the children in Malaysia and the Philippines were at considerable non-carcinogenic risk. Hence, approaching the recommended control plans in order to decrease the non-carcinogenic risk associated with the ingestion of PTEs via the consumption of narrow-barred Spanish mackerel fish fillets is crucial. © 2020, Springer Science+Business Media, LLC, part of Springer Nature
The concentration of potentially hazardous elements (PHEs) in the muscle of blue crabs (Callinectes sapidus) and associated health risk
In this study, the concentration of potentially hazardous elements (PHEs) in the muscle of Blue crabs (Callinectes sapidus) from the Strait of Hormuz was analyzed and following the health risk in the consumers by uncertainty and sensitivity analysis in the Monte Carlo simulation (MCS) technique was estimated. Fifty-eight blue card samples (male blue crabs = 33 samples; female blue crabs = 25 samples) were collected in the Strait of Hormuz from May to September 2020 for analysis of Nickel (Ni), Lead (Pb), Cadmium (Cd), and Iron (Fe) using Flame Absorption Spectrometer (FAAS). The order of PHEs in the in muscle male blue crabs was Fe (414.37 ± 288.07 μg/kg.ww) > Pb (238.78 ± 87.83 μg/kg.ww) > Ni (92.57 ± 39.72 μg/kg.ww) > Cd (52.73 ± 18.39 μg/kg.ww) and in female blue crabs Fe (461.16 ± 320.56 μg/kg.ww) > Pb (230.79 ± 125.59 μg/kg.ww) > Ni (84.13 ± 46.07 μg/kg.ww) > Cd (67.412 ± 43.93 μg/kg.ww). The concentration of PHEs muscle of male blue crabs and female blue crabs was not significantly different (P-value > 0.05). Uncertainty of non-carcinogenic risk revealed that P95 of total target hazard quotient (TTHQ) in the adult and children consumers due to ingestion male blue crabs was 5.30E-3 and 1.08E-3, respectively, and P95 of TTHQ in the adult and children due to ingestion female blue crabs was 7.05E-3 and 1.20E-3, respectively. P95 of TTHQ in both adult and children consumers was lower than one value. Therefore, consumers are at the acceptable range of the non-carcinogenic risk due to ingestion muscle of male and female blue crabs in Bandar Abbas. Although the non-carcinogenic risk of blue crab was in the safe range, due to the increase in its consumption and the increase of pollution sources in the Persian Gulf, it is recommended to monitor PHEs in Blue's muscle crabs. © 2021 Elsevier Lt
Trace elements human health risk assessment by Monte Carlo probabilistic method in drinking water of Shiraz, Iran
Risk assessment analysis related to groundwater contamination by heavy metals was performed in the Shiraz city (Iran). We compared the traditional deterministic methodologies with a probabilistic approach based on the concentration of different heavy metals determined from many sampling points. The relationships between the variables by the multivariate statistical analysis were assessed, and the target hazard quotient (THQ) was calculated in children, women, and men groups. Results showed that analyzed water samples were suitable for drinking, although alkaline. Concentrations of the heavy metals were: Zn > Ni > Cu > Se > Co > Sb. The THQ values for non-carcinogenic elements showed no significant risk for population of studied age groups, although a higher THQ value was observed for the water from the northwest and some central areas of city. Mean values of cancer risk for Ni were 1.77 × 10–5, 4.36 × 10–5, and 3.32 × 10–5 in children, women, and men, respectively. The multivariate approach indicated that the carcinogenic risk certainty level was 97.6, 91.2, and 94.3% for children, women, and men, respectively, and the model sensitivity analysis showed that the most effective parameter for carcinogenicity was Ni concentration. The probabilistic analysis also showed the relative influence of geogenic and anthropogenic processes on the quality of the water of Shiraz city. We concluded that risk assessment using a probabilistic approach could be better predictive of chronic exposure to hazardous elements in drinking water, which possibility the implementation of better protective measures than the current deterministic approaches
Microplastics captured by snowfall: A study in Northern Iran.
Samples of fresh snow (n = 34) have been collected from 29 locations in various urban and remote regions of northern Iran following a period of sustained snowfall and the thawed contents examined for microplastics (MPs) according to established techniques. MP concentrations ranged from undetected to 86 MP L-1 (mean and median concentrations ~20 MP and 12 MP L-1, respectively) and there was no significant difference in MP concentration between sample location type or between different depths of snow (or time of deposition) sampled at selected sites. Fibres were the dominant shape of MP and μ-Raman spectroscopy of selected samples revealed a variety of polymer types, with nylon most abundant. Scanning electron microscopy coupled with energy-dispersive X-ray analysis showed that some MPs were smooth and unweathered while others were more irregular and exhibited significant photo-oxidative and mechanical weathering as well as contamination by extraneous geogenic particles. These characteristics reflect the importance of both local and distal sources to the heterogeneous pool of MPs in precipitated snow. The mean and median concentrations of MPs in the snow samples were not dissimilar to the published mean and median concentrations for MPs in rainfall collected from an elevated location in southwest Iran. However, compared with rainfall, MPs in snow appear to be larger and more diverse in their shape and composition (and include rubber particulates), possibly because of the greater size but lower terminal velocities of snowflakes relative to raindrops. Snowfall represents a significant means by which MPs are scavenged from the atmosphere and transferred to soil and surface waters that warrants further attention