Unusual cytotoxic sulfated cadinene-type sesquiterpene glycosides from cottonseed (Gossypium hirsutum).

Two new sulfated cadinene-type sesquiterpene glycosides, 13-hydroxy-7-O-(60-O-sulfate-b-D-glucopyranosyl)-desoxyhemigossypol (1) and 13,15-dihydroxy-7-O-(60-O-sulfate-b-D-glucopyranosyl)-desoxyhemigossypol (2), have been isolated from whole cottonseed (Gossypium hirsutum). Their structures, which possess an unusual 6-O-sulfate-glucopyranosyl moiety, were determined through the interpretation of 2D NMR spectral data and H/D exchange ESI-MS experiments. Compounds 1 and 2 were screened for their toxicity on Jurkat cells. Both compounds inhibited cellular proliferation with IC50 values of 8.1 and 4.2 mg, respectively

Tracking development assistance for health and for COVID-19 : a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050

Background The rapid spread of COVID-19 renewed the focus on how health systems across the globe are financed, especially during public health emergencies. Development assistance is an important source of health financing in many low-income countries, yet little is known about how much of this funding was disbursed for COVID-19. We aimed to put development assistance for health for COVID-19 in the context of broader trends in global health financing, and to estimate total health spending from 1995 to 2050 and development assistance for COVID-19 in 2020. Methods We estimated domestic health spending and development assistance for health to generate total health-sector spending estimates for 204 countries and territories. We leveraged data from the WHO Global Health Expenditure Database to produce estimates of domestic health spending. To generate estimates for development assistance for health, we relied on project-level disbursement data from the major international development agencies' online databases and annual financial statements and reports for information on income sources. To adjust our estimates for 2020 to include disbursements related to COVID-19, we extracted project data on commitments and disbursements from a broader set of databases (because not all of the data sources used to estimate the historical series extend to 2020), including the UN Office of Humanitarian Assistance Financial Tracking Service and the International Aid Transparency Initiative. We reported all the historic and future spending estimates in inflation-adjusted 2020 US$, 2020 US$ per capita, purchasing-power parity-adjusted US$per capita, and as a proportion of gross domestic product. We used various models to generate future health spending to 2050. Findings In 2019, health spending globally reached$8. 8 trillion (95% uncertainty interval [UI] 8.7-8.8) or $1132 (1119-1143) per person. Spending on health varied within and across income groups and geographical regions. Of this total,$40.4 billion (0.5%, 95% UI 0.5-0.5) was development assistance for health provided to low-income and middle-income countries, which made up 24.6% (UI 24.0-25.1) of total spending in low-income countries. We estimate that $54.8 billion in development assistance for health was disbursed in 2020. Of this,$13.7 billion was targeted toward the COVID-19 health response. $12.3 billion was newly committed and$1.4 billion was repurposed from existing health projects. $3.1 billion (22.4$2.4 billion (17.9%) was for supply chain and logistics. Only $714.4 million (7.7$1519 (1448-1591) per person in 2050, although spending across countries is expected to remain varied. Interpretation Global health spending is expected to continue to grow, but remain unequally distributed between countries. We estimate that development organisations substantially increased the amount of development assistance for health provided in 2020. Continued efforts are needed to raise sufficient resources to mitigate the pandemic for the most vulnerable, and to help curtail the pandemic for all. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.Peer reviewe

The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

BACKGROUND: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk–outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01–4·94) deaths and 105 million (95·0–116) DALYs for both sexes combined, representing 44·4% (41·3–48·4) of all cancer deaths and 42·0% (39·1–45·6) of all DALYs. There were 2·88 million (2·60–3·18) risk-attributable cancer deaths in males (50·6% [47·8–54·1] of all male cancer deaths) and 1·58 million (1·36–1·84) risk-attributable cancer deaths in females (36·3% [32·5–41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6–28·4) and DALYs by 16·8% (8·8–25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9–42·8] and 33·3% [25·8–42·0]). INTERPRETATION: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden

Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019

Background: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods: 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10–14 and 50–54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. Findings: The global TFR decreased from 2•72 (95% uncertainty interval [UI] 2•66–2•79) in 2000 to 2•31 (2•17–2•46) in 2019. Global annual livebirths increased from 134•5 million (131•5–137•8) in 2000 to a peak of 139•6 million (133•0–146•9) in 2016. Global livebirths then declined to 135•3 million (127•2–144•1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2•1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27•1% (95% UI 26•4–27•8) of global livebirths. Global life expectancy at birth increased from 67•2 years (95% UI 66•8–67•6) in 2000 to 73•5 years (72•8–74•3) in 2019. The total number of deaths increased from 50•7 million (49•5–51•9) in 2000 to 56•5 million (53•7–59•2) in 2019. Under-5 deaths declined from 9•6 million (9•1–10•3) in 2000 to 5•0 million (4•3–6•0) in 2019. Global population increased by 25•7%, from 6•2 billion (6•0–6•3) in 2000 to 7•7 billion (7•5–8•0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58•6 years (56•1–60•8) in 2000 to 63•5 years (60•8–66•1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. Interpretation: Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens

Global burden of 87 risk factors in 204 countries and territories, 1990�2019: a systematic analysis for the Global Burden of Disease Study 2019

Background: Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods: GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk�outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk�outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk�outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings: The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95 uncertainty interval UI 9·51�12·1) deaths (19·2% 16·9�21·3 of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12�9·31) deaths (15·4% 14·6�16·2 of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253�350) DALYs (11·6% 10·3�13·1 of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0�9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10�24 years, alcohol use for those aged 25�49 years, and high systolic blood pressure for those aged 50�74 years and 75 years and older. Interpretation: Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens

Food under microwave processing: dielectric behavior and effects on phenolic costituent

Processed products that keep more of their original characteristics are the main goal of the current researches in food technology. This policy is carried out focusing on the technological progress in reduction of running costs by increasing the process efficiency, and in processing of new products with a high final quality. In others terms, development of unit operations performed with novel technologies that minimize the adverse effects of processing is required. In the particular case of food, this means low losses of volatiles, flavors and nutritional values, reduced changes in color and texture. Furthermore, the possibility of defining and controlling residual enzymatic and microbial activities in processed foods is required because they affect product quality and shelf-life [1]. Microwave technology is proposed to respond to the needs required to a innovative thermal technology. As a matter of fact, benefits in microwave heating applications can be found, such as reductions in manufacturing costs due to energy saving and shorter processing times, improved product uniformity and yields. These particular features depend on the direct interaction between electromagnetic field and matter. Indeed, while in conventional heating processes, the energy is transferred to the material by convection, conduction and radiation phenomena through the external materials surface, in presence of thermal gradients, microwave energy is delivered directly to materials through molecular interactions with electromagnetic field via conversions of electromagnetic energy into thermal energy. The presence of natural dipoles such as water molecules and charges (ionic groups) enhances the interaction with the electromagnetic field [2], [3]. Foodstuffs usually contain 50-97 % moisture and components such as salts (i.e. water molecules and ions) so that they are very well suited for heating with microwave energy, to obtain, under the technological point of view, the features before reported [1], [2], [4]. If microwaves treatments are suitable for foods processing in terms of nutritional factor preservation is a topic of great research interest. In particular, thermal treatments of fruit and vegetable is one of the most challenge in food processing because of their content of antioxidant phenolic metabolites and the protective effects against oxidant related processes of these last. As a matter of fact, vegetal foods accumulate a great variety of secondary metabolites, including phenolic and many other phytochemical compounds, as a protection against the adverse effects of mechanical bruising, light, and injury by predators such as beetles, fungi, and insects [5], [6]. Phenolic compounds have long been associated with flavor and color characteristics of fruits and vegetables. These compounds attract great interest due to their reported health protecting properties. Therapeutic effects such as antibacterial, anti-inflammatory, antiallergic, antimutagenic, antiviral, antineoplastic, antithrombotic, and vasodilatory activity have been attributed to phenolic compounds [7]. Many of these effects result from their potent antioxidant and free radical scavenging properties [8]. It has been hypothesized that an increase in dietary antioxidants can reduce oxidative stress and prevent chronic diseases. Microwave ovens are widely used for cooking and food processing [9], [10], [11]. Extensive studies [12], [13] have shown equal or better retention of some vitamins (B1, B2, B6, C, and folic acid) after microwave heating compared with conventional heating. There is, however, little information on how much loss of phenolic compounds occurs in foods during microwave heating. In the present study, the influence of different power input of microwave baking on the amount of phenolic marker compounds resting in potatoes Agria cultivar was assessed. A high-performance liquid chromatographic (HPLC) method with diode-array detection (DAD) was used to identify and quantify phenolic compounds. Dielectric behavior of the irradiated samples was also investigated to emphasize the role of water content and temperature during the baking process. Potato is chosen as vegetable food model because is representative of a large range of high moisture food and have several features such as small and homogeneous cells and structurally is less complex than other vegetables

Anti-inflammatory, and antinociceptive effects of Campomanesia adamantium microencapsulated pulp

Guavira fruits have antimicrobial, antioxidant, antinociceptive, and anti-inflammatory activities. Spray drying has been widely used in the food industry presenting good retention in bioactive compounds used to transform the pulp/fruit juice into powder form. Therefore, the present study has evaluated the anti-inflammatory and antinociceptive activities of the microencapsulated pulp of Campomanesia adamantium (Cambess.) O.Berg, Myrtaceae, by spray drying. Different groups of mice were treated with the doses of 100 and 300 mg/kg of microencapsulated “guavira” pulp and inflammatory parameters were assessed in a carrageenan paw edema-model and leukocyte migration with pleurisy model, while the antinociceptive activity was assessed using the formalin method and CFA-induced hyperalgesia model. A significant reduction in leukocyte migration and in paw edema was observed in rodents in all time after carrageenan injection for both doses of microencapsulated pulp of C. adamantium when compared with control group. Microencapsulated pulp of C. adamantium also reduced licking time at the first (nociceptive) and second (inflammatory) phases in the formalin model. In CFA-induced cold and mechanical hyperalgesia, depressive behavior, and knee edema, all parameters analyzed were significantly inhibited by microencapsulated pulp of C. adamantium. Microencapsulation by spray drying proved to be a technique that promotes bioavailability and the preservation of bioactive components in guavira pulp. Keywords: Campomanesia adamantium, Inflammation, Hyperalgesia, Microencapsulation, Guavir

A simple informative intervention in primary care increases statin adherence

PURPOSE: To assess the effectiveness of an informative intervention on general practitioners aimed at improving patients' adherence to statin therapy. METHODS: In the local health unit (LHU) of Bergamo, Lombardy (Italy), each general practitioner received a synthetic scientific document on dyslipidaemia and statins and aggregated data on adherence in 2006 for his/her patients compared to the means in the LHU and in his/her working district. Furthermore, a sample of seven districts received also a table of adherence levels for single patients. Patient's level data were retrieved from the health care utilisation databases of the LHU. Adherence parameters (proportion of patients with only one prescription, medication possession ratio [MPR] and proportion of non-persistent patients) were assessed after 1 year of follow-up. RESULTS: Overall, 5833 and 4788 new statin users were enrolled before and after the intervention, respectively. The percentage of patients with only one prescription decreased from 28.0 to 23.9 % (p < 0.001). MPR increased from 70.3 to 76.0 % (p < 0.001), and proportion of patients with MPR 65 80 % increased from 45.4 to 56.4 % (p < 0.001). The persistence also showed an improvement, both in terms of decreasing proportion of non-persistent (from 51.9 to 41.4 %, p < 0.001) and of increasing duration of continued therapy (from 235 to 264 mean days of persistent therapy, p < 0.001). There were not significant differences between the two types of intervention. CONCLUSIONS: This intervention resulted in an overall improvement of the short-term adherence to therapy. This tool can be replicated in other local contexts and with other chronic therapies