427 research outputs found

    Cytotoxicity of Some Sri Lankan Seaweed Extracts

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    Algae are known to produce a large number of secondary metabolites with a variety of biological activities. Methanol extracts of 24 seaweeds collected around Sri Lanka were subjected to antibacterial, anti fungal and cytototoxicity studies. Although, none of them were active against the tested bacteria and fungi, some showed cytotoxic activity evidenced the brine shrimp lethality bio assay. Out of the 24 species, nine species (Halimeda discoidea, Sargassum spp., Dictyota spp.-l, Dictyota spp.-2, Amphiroa anceps, Amphiroa fragilissima, Cheilosporum acutilobum, Galaxaura lapidescens, and Tricleocarpa fragilis) showed LC50 value below 1000 gg/ml. Many red algae caused brine shrimp death compared to the brown and green algae tested. Of the eight brown seaweeds, 3 showed LC50 value below 1000 gg/ml, whereas only one of the six green seaweeds tested was effective. The highest activity was recorded in methanol extract of Halimeda discoidea (LC50 0.05 ug ml-I ) compared to the other seaweeds. Further, four species caused brine shrimp death below the level of positive control, 4-hydroxy-2methylquinoline (30.15 Pig ml-I). These preliminary results suggest that the seaweeds could be exploited for the isolation of anti tumor compound

    New brominated sesquiterpenes from the red alga Laurencia hetroclada Harvey, and their immunosuppressive activity studies

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    Red algae of the genus Laurencia Harvey (Ceramiales, Rhodomelaceae) is a complex genus, encompassing a large variety of morphologicallycomplex algal species. In continuation of our work on chemistry and biological activity studies of some Sri Lankan seaweeds, we examined the chemistry of MeOH extract of Laurencia hetroclada collected from Tangalle coast. Above extract was subjected to column chromatography followed by PTLC gave a new brominated sesquiterpene 1 along with two known compounds, algoane 2, and caulerpin 3. The 13C NMR spectrum along with the DEPT experiments of 1 revealed only 15 carbon signals corresponding to four methyls, five methylene, one methine and five quaternary carbons. The 1H NMR (CD3OD, 500 MHz) spectrum of 1 showed signals due to three methyls, four methylenes, and two methine protons. The singlets resonated at 1.25 (3H, s), 1.27 (3H, s), and 1.85 (3H, s) were assigned to Me-8’, Me-6’, and Me-9’, respectively. The characteristic downfield proton at 4.83 (dd, J = 4.2,15 Hz) was assigned to H-4, geminal to the Br atom, whereas the proton that resonated at 3.96 (d, J = 1.7 Hz) was assigned to the oxymethine H- 1. Furthermore, the olefinic singlet resonated at 5.26 was assigned to Ha-7’ and Hb-7. The down field carbon atoms resonated at 110.2 and 165.2 were assigned to olefinic carbon atoms. The positive CI MS of 1 showed the molecular ion peak [M+H]+ at m/z 349 along with isotopic peak at m/z 351 (1:1), indicating the presence of a Br atom in the molecule. The above MS data were found to be consistent with the molecular formula C15H25O4Br with 3 degrees of unsaturation. A comparison of the NMR spectroscopic data of 1 with those of 2 suggested a similar skeleton with differences in substitution pattern and unsaturation sites. From the above spectral data, the structure of 1 was confirmed as a new natural product 4-bromo-5-methyl-2-(3’-hydroxy-1’,3’- dimethyl-2’ methylenecyclopentyl) cyclohexane-1,2,5- triol. Caulerpin (3) showed a significant dose suppressive effect with an IC50 5.8 ± 1.0 μg/mL on Tcell proliferation assay

    Engaging a rural community in identifying determinants of low birth weight and deciding on measures to improve low birth weight: an experience from a Sri Lankan study

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    Background: Involving communities in identifying and addressing determinants of their own health is effective in addressing complex problems, such as low birth weight (LBW). LBW is an important public health problem which has not improved significantly in Sri Lanka in the last 10 years. This study reports the ability of lay persons to identify and address determinants of LBW. Methods: A health promotion intervention was conducted among 403 mothers registering at 26 antenatal clinics in the district of Anuradhapura, in Sri Lanka. The components of a health promotion process\u2014initiation, maintenance and continual monitoring, and re-direction towards greater effectiveness\u2014were explained to the mothers. Inputs were initially provided through different methods to enable mothers\u2019 groups to identify determinants of LBW and to decide actions to address those identified determinants. The overall study was carried out over a period of 1 year, of which the intervention phase took around 7 months. The mothers in the clinic group were encouraged to continue an ongoing process in smaller \u201cneighborhood action committees\u201d (NACs)\u2014of which there were 71. The findings are based on field notes maintained during the process, analyzed using thematic analysis. Results: Each group of mothers identified at least eight determinants of LBW at the first attempt (without first author\u2019s guidance), four of which corresponded with those already mentioned in published studies. Up to five other determinants were agreed, after facilitation by the first author, at the second attempt. Of the total, 10 determinants of LBW were finally prioritized. Twenty actions to address the 10 selected prioritized determinants were agreed through a collective consensus development process. Conclusions: Lay communities successfully identified determinants of LBW and household level actions to address these, with relatively simple guidance, when stimulated to initiate the relevant process. This capacity should be nurtured and better used in interventions to improve LBW

    Determine The Factors Affecting The Blood Donors Of Selecting Blood Donor Program Me In Western Province, Sri Lanka

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    Abstract: Blood and blood component transfusion is one of the major therapeutic practices throughout the world. National Blood Transfusion Service (NBTS) in Sri Lanka requires approximately 300000 blood units annually. After initiating mobile donor programme, there have been two types of blood donation programs in Sri Lanka since 1980. Since second half of first decade of 21 st century, Sri Lanka shifted to 100% non-replacement blood transfusion policy. That means whole blood and blood component requirement of NBTS has to be collected through mobile blood donor program and voluntary In-house blood donor program. Therefore the objective of this study was to determine the factors affecting the blood donors of selecting blood donor program in Western province, Sri Lanka. Methodology This was a cross sectional descriptive study. The study composed of two components. .First, the factors that cause the blood donor to select a blood donor programme; second, the facility survey of blood banks In-house donation. An interviewer administered questionnaire was used to collect data from a sample of 410 Mobile blood donors. Facility survey was done using a checklist. The dependant variables were the attendance of the blood donors to Mobile blood donation and In-house blood donation. Independent variables included were the factors related to socio demography, service quality, accessibility, availability and intrinsic / extrinsic motivation. The analytical statistics applied for testing the association of factors with the blood donor programme was chi-square test. The study has shown some important findings. There was significant association between income level and donating blood. Only 3.3% of In-house blood donor population was female. Majority of In-house population belonged to 30-41 age group. A statistically significant association exists between age and repeat blood donation. The female blood donors' tendency of becoming repeat donors was very low. Distance problem and non availability on easy days were the main demotivational factors for donating blood to In-house blood donation. It appears that utilization of In-house blood donor programme could be improved by addressing the physical and psychological barriers and provision of quality service. This study further pointed out the need to reformulate health policies and utilization of information technology to improve the national blood transfusion service. - ------------------

    Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015

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    SummaryBackground The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors—the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6–58·8) of global deaths and 41·2% (39·8–42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Funding Bill & Melinda Gates Foundation

    Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2016: A Systematic Analysis for the Global Burden of Disease Study

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    Importance: The increasing burden due to cancer and other noncommunicable diseases poses a threat to human development, which has resulted in global political commitments reflected in the Sustainable Development Goals as well as the World Health Organization (WHO) Global Action Plan on Non-Communicable Diseases. To determine if these commitments have resulted in improved cancer control, quantitative assessments of the cancer burden are required. Objective: To assess the burden for 29 cancer groups over time to provide a framework for policy discussion, resource allocation, and research focus. Evidence Review: Cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs) were evaluated for 195 countries and territories by age and sex using the Global Burden of Disease study estimation methods. Levels and trends were analyzed over time, as well as by the Sociodemographic Index (SDI). Changes in incident cases were categorized by changes due to epidemiological vs demographic transition. Findings: In 2016, there were 17.2 million cancer cases worldwide and 8.9 million deaths. Cancer cases increased by 28% between 2006 and 2016. The smallest increase was seen in high SDI countries. Globally, population aging contributed 17%; population growth, 12%; and changes in age-specific rates, -1% to this change. The most common incident cancer globally for men was prostate cancer (1.4 million cases). The leading cause of cancer deaths and DALYs was tracheal, bronchus, and lung cancer (1.2 million deaths and 25.4 million DALYs). For women, the most common incident cancer and the leading cause of cancer deaths and DALYs was breast cancer (1.7 million incident cases, 535¿000 deaths, and 14.9 million DALYs). In 2016, cancer caused 213.2 million DALYs globally for both sexes combined. Between 2006 and 2016, the average annual age-standardized incidence rates for all cancers combined increased in 130 of 195 countries or territor. CONCLUSIONS AND RELEVANCE Large disparities exist between countries in cancer incidence,deaths, and associated disability. Scaling up cancer prevention and ensuring universal access to cancer care are required for health equity and to fulfill the global commitments fornoncommunicable disease and cancer control.The Institute for Health Metricsand Evaluation received funding from the Bill &Melinda Gates Foundation

    Trends in HIV/AIDS morbidity and mortality in Eastern Mediterranean countries, 1990–2015: findings from the Global Burden of Disease 2015 study

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    OBJECTIVES: We used the results of the Global Burden of Disease 2015 study to estimate trends of HIV/AIDS burden in Eastern Mediterranean Region (EMR) countries between 1990 and 2015. METHODS: Tailored estimation methods were used to produce final estimates of mortality. Years of life lost (YLLs) were calculated by multiplying the mortality rate by population by age-specific life expectancy. Years lived with disability (YLDs) were computed as the prevalence of a sequela multiplied by its disability weight. RESULTS: In 2015, the rate of HIV/AIDS deaths in the EMR was 1.8 (1.4–2.5) per 100,000 population, a 43% increase from 1990 (0.3; 0.2–0.8). Consequently, the rate of YLLs due to HIV/AIDS increased from 15.3 (7.6–36.2) per 100,000 in 1990 to 81.9 (65.3–114.4) in 2015. The rate of YLDs increased from 1.3 (0.6–3.1) in 1990 to 4.4 (2.7–6.6) in 2015. CONCLUSIONS: HIV/AIDS morbidity and mortality increased in the EMR since 1990. To reverse this trend and achieve epidemic control, EMR countries should strengthen HIV surveillance, and scale up HIV antiretroviral therapy and comprehensive prevention services

    Burden of cancer in the Eastern Mediterranean Region, 2005–2015: findings from the Global Burden of Disease 2015 Study

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    Objectives: To estimate incidence, mortality, and disability-adjusted life years (DALYs) caused by cancer in the Eastern Mediterranean Region (EMR) between 2005 and 2015. Methods: Vital registration system and cancer registry data from the EMR region were analyzed for 29 cancer groups in 22 EMR countries using the Global Burden of Disease Study 2015 methodology. Results: In 2015, cancer was responsible for 9.4% of all deaths and 5.1% of all DALYs. It accounted for 722,646 new cases, 379,093 deaths, and 11.7 million DALYs. Between 2005 and 2015, incident cases increased by 46%, deaths by 33%, and DALYs by 31%. The increase in cancer incidence was largely driven by population growth and population aging. Breast cancer, lung cancer, and leukemia were the most common cancers, while lung, breast, and stomach cancers caused most cancer deaths. Conclusions: Cancer is responsible for a substantial disease burden in the EMR, which is increasing. There is an urgent need to expand cancer prevention, screening, and awareness programs in EMR countries as well as to improve diagnosis, treatment, and palliative care services.The funding source played no role in the design of thestudy, the analysis and interpretation of data, and the writing of thepaper. GBD 2015 is funded by Bill & Melinda Gates Foundation

    Evolution and patterns of global health financing 1995-2014 : development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries

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    Background An adequate amount of prepaid resources for health is important to ensure access to health services and for the pursuit of universal health coverage. Previous studies on global health financing have described the relationship between economic development and health financing. In this study, we further explore global health financing trends and examine how the sources of funds used, types of services purchased, and development assistance for health disbursed change with economic development. We also identify countries that deviate from the trends. Methods We estimated national health spending by type of care and by source, including development assistance for health, based on a diverse set of data including programme reports, budget data, national estimates, and 964 National Health Accounts. These data represent health spending for 184 countries from 1995 through 2014. We converted these data into a common inflation-adjusted and purchasing power-adjusted currency, and used non-linear regression methods to model the relationship between health financing, time, and economic development. Findings Between 1995 and 2014, economic development was positively associated with total health spending and a shift away from a reliance on development assistance and out-of-pocket (OOP) towards government spending. The largest absolute increase in spending was in high-income countries, which increased to purchasing power-adjusted 5221percapitabasedonanannualgrowthrateof3.05221 per capita based on an annual growth rate of 3.0%. The largest health spending growth rates were in upper-middle-income (5.9) and lower-middle-income groups (5.0), which both increased spending at more than 5% per year, and spent 914 and 267percapitain2014,respectively.Spendinginlowincomecountriesgrewnearlyasfast,at4.6267 per capita in 2014, respectively. Spending in low-income countries grew nearly as fast, at 4.6%, and health spending increased from 51 to 120percapita.In2014,59.2120 per capita. In 2014, 59.2% of all health spending was financed by the government, although in low-income and lower-middle-income countries, 29.1% and 58.0% of spending was OOP spending and 35.7% and 3.0% of spending was development assistance. Recent growth in development assistance for health has been tepid; between 2010 and 2016, it grew annually at 1.8%, and reached US37.6 billion in 2016. Nonetheless, there is a great deal of variation revolving around these averages. 29 countries spend at least 50% more than expected per capita, based on their level of economic development alone, whereas 11 countries spend less than 50% their expected amount. Interpretation Health spending remains disparate, with low-income and lower-middle-income countries increasing spending in absolute terms the least, and relying heavily on OOP spending and development assistance. Moreover, tremendous variation shows that neither time nor economic development guarantee adequate prepaid health resources, which are vital for the pursuit of universal health coverage.Peer reviewe
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