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Wang C, Wang F, Wassie GT, Wei MYW, Weldemariam AH, Westerman R, Wickramasinghe ND, Wu Y, Wulandari RDWI, Xia J, Xiao H, Xu S, Xu X, Yada DY, Yang L, Yatsuya H, Yesiltepe M, Yi S, Yohannis HK, Yonemoto N, You Y, Zaman SB, Zamora N, Zare I, Zarea K, Zarrintan A, Zastrozhin MS, Zeru NG, Zhang ZJ, Zhong C, Zhou J, Zielińska M, Zikarg YT, Zodpey S, Zoladl M, Zou Z, Zumla A, Zuniga YMH, Magliano DJ, Murray CJL, Hay SI, Vos T. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2023; 402:203-234. [PMID: 37356446 PMCID: PMC10364581 DOI: 10.1016/s0140-6736(23)01301-6] [Show More Authors] [Citation(s) in RCA: 1588] [Impact Index Per Article: 794.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/27/2023] [Imported: 10/07/2024]
Abstract
BACKGROUND Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. METHODS Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. FINDINGS In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. INTERPRETATION Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. FUNDING Bill & Melinda Gates Foundation.
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Wu Z, Wulf Hanson S, Xia Y, Xiao H, Xu X, Xu YY, Yadav L, Yadollahpour A, Yaghoubi S, Yamagishi K, Yang L, Yano Y, Yao Y, Yaribeygi H, Yazdanpanah MH, Ye P, Yehualashet SS, Yesuf SA, Yezli S, Yiğit A, Yiğit V, Yigzaw ZA, Yismaw Y, Yon DK, Yonemoto N, Younis MZ, Yu C, Yu Y, Yusuf H, Zahid MH, Zakham F, Zaki L, Zaki N, Zaman BA, Zamora N, Zand R, Zandieh GGZ, Zar HJ, Zarrintan A, Zastrozhin MS, Zhang H, Zhang N, Zhang Y, Zhao H, Zhong C, Zhong P, Zhou J, Zhu Z, Ziafati M, Zielińska M, Zimsen SRM, Zoladl M, Zumla A, Zyoud SH, Vos T, Murray CJL. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2133-2161. [PMID: 38642570 PMCID: PMC11122111 DOI: 10.1016/s0140-6736(24)00757-8] [Show More Authors] [Citation(s) in RCA: 1087] [Impact Index Per Article: 1087.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/07/2024] [Accepted: 04/12/2024] [Indexed: 04/22/2024] [Imported: 10/07/2024]
Abstract
BACKGROUND Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. METHODS The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic. FINDINGS Global DALYs increased from 2·63 billion (95% UI 2·44-2·85) in 2010 to 2·88 billion (2·64-3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7-17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8-6·3) in 2020 and 7·2% (4·7-10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0-234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7-198·3]), neonatal disorders (186·3 million [162·3-214·9]), and stroke (160·4 million [148·0-171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3-51·7) and for diarrhoeal diseases decreased by 47·0% (39·9-52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54-1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5-9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0-19·8]), depressive disorders (16·4% [11·9-21·3]), and diabetes (14·0% [10·0-17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7-27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6-63·6) in 2010 to 62·2 years (59·4-64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6-2·9) between 2019 and 2021. INTERPRETATION Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades. FUNDING Bill & Melinda Gates Foundation.
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Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2022; 400:2221-2248. [PMID: 36423648 PMCID: PMC9763654 DOI: 10.1016/s0140-6736(22)02185-7] [Show More Authors] [Citation(s) in RCA: 845] [Impact Index Per Article: 281.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 10/13/2022] [Accepted: 11/01/2022] [Indexed: 11/22/2022] [Imported: 10/07/2024]
Abstract
BACKGROUND Reducing the burden of death due to infection is an urgent global public health priority. Previous studies have estimated the number of deaths associated with drug-resistant infections and sepsis and found that infections remain a leading cause of death globally. Understanding the global burden of common bacterial pathogens (both susceptible and resistant to antimicrobials) is essential to identify the greatest threats to public health. To our knowledge, this is the first study to present global comprehensive estimates of deaths associated with 33 bacterial pathogens across 11 major infectious syndromes. METHODS We estimated deaths associated with 33 bacterial genera or species across 11 infectious syndromes in 2019 using methods from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, in addition to a subset of the input data described in the Global Burden of Antimicrobial Resistance 2019 study. This study included 343 million individual records or isolates covering 11 361 study-location-years. We used three modelling steps to estimate the number of deaths associated with each pathogen: deaths in which infection had a role, the fraction of deaths due to infection that are attributable to a given infectious syndrome, and the fraction of deaths due to an infectious syndrome that are attributable to a given pathogen. Estimates were produced for all ages and for males and females across 204 countries and territories in 2019. 95% uncertainty intervals (UIs) were calculated for final estimates of deaths and infections associated with the 33 bacterial pathogens following standard GBD methods by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest. FINDINGS From an estimated 13·7 million (95% UI 10·9-17·1) infection-related deaths in 2019, there were 7·7 million deaths (5·7-10·2) associated with the 33 bacterial pathogens (both resistant and susceptible to antimicrobials) across the 11 infectious syndromes estimated in this study. We estimated deaths associated with the 33 bacterial pathogens to comprise 13·6% (10·2-18·1) of all global deaths and 56·2% (52·1-60·1) of all sepsis-related deaths in 2019. Five leading pathogens-Staphylococcus aureus, Escherichia coli, Streptococcus pneumoniae, Klebsiella pneumoniae, and Pseudomonas aeruginosa-were responsible for 54·9% (52·9-56·9) of deaths among the investigated bacteria. The deadliest infectious syndromes and pathogens varied by location and age. The age-standardised mortality rate associated with these bacterial pathogens was highest in the sub-Saharan Africa super-region, with 230 deaths (185-285) per 100 000 population, and lowest in the high-income super-region, with 52·2 deaths (37·4-71·5) per 100 000 population. S aureus was the leading bacterial cause of death in 135 countries and was also associated with the most deaths in individuals older than 15 years, globally. Among children younger than 5 years, S pneumoniae was the pathogen associated with the most deaths. In 2019, more than 6 million deaths occurred as a result of three bacterial infectious syndromes, with lower respiratory infections and bloodstream infections each causing more than 2 million deaths and peritoneal and intra-abdominal infections causing more than 1 million deaths. INTERPRETATION The 33 bacterial pathogens that we investigated in this study are a substantial source of health loss globally, with considerable variation in their distribution across infectious syndromes and locations. Compared with GBD Level 3 underlying causes of death, deaths associated with these bacteria would rank as the second leading cause of death globally in 2019; hence, they should be considered an urgent priority for intervention within the global health community. Strategies to address the burden of bacterial infections include infection prevention, optimised use of antibiotics, improved capacity for microbiological analysis, vaccine development, and improved and more pervasive use of available vaccines. These estimates can be used to help set priorities for vaccine need, demand, and development. FUNDING Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care, using UK aid funding managed by the Fleming Fund.
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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. Lancet 2024; 403:2100-2132. [PMID: 38582094 PMCID: PMC11126520 DOI: 10.1016/s0140-6736(24)00367-2] [Show More Authors] [Citation(s) in RCA: 649] [Impact Index Per Article: 649.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 04/08/2024] [Imported: 10/07/2024]
Abstract
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.
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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. Lancet 2024; 403:2162-2203. [PMID: 38762324 PMCID: PMC11120204 DOI: 10.1016/s0140-6736(24)00933-4] [Show More Authors] [Citation(s) in RCA: 611] [Impact Index Per Article: 611.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 05/02/2024] [Indexed: 05/20/2024] [Imported: 10/07/2024]
Abstract
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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Viskadourou M, Vladimirov SK, Vlassov V, Volovat SR, Vu LT, Vujcic IS, Wagaye B, Waheed Y, Wahood W, Walde MT, Wang F, Wang S, Wang Y, Wang YP, Waqas M, Waris A, Weerakoon KG, Weintraub RG, Weldemariam AH, Westerman R, Whisnant JL, Wickramasinghe DP, Wickramasinghe ND, Willekens B, Wilner LB, Winkler AS, Wolfe CDA, Wu AM, Wulf Hanson S, Xu S, Xu X, Yadollahpour A, Yaghoubi S, Yahya G, Yamagishi K, Yang L, Yano Y, Yao Y, Yehualashet SS, Yeshaneh A, Yesiltepe M, Yi S, Yiğit A, Yiğit V, Yon DK, Yonemoto N, You Y, Younis MZ, Yu C, Yusuf H, Zadey S, Zahedi M, Zakham F, Zaki N, Zali A, Zamagni G, Zand R, Zandieh GGZ, Zangiabadian M, Zarghami A, Zastrozhin MS, Zeariya MGM, Zegeye ZB, Zeukeng F, Zhai C, Zhang C, Zhang H, Zhang Y, Zhang ZJ, Zhao H, Zhao Y, Zheng P, Zhou H, Zhu B, Zhumagaliuly A, Zielińska M, Zikarg YT, Zoladl M, Murray CJL, Ong KL, Feigin VL, Vos T, Dua T. Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurol 2024; 23:344-381. [PMID: 38493795 PMCID: PMC10949203 DOI: 10.1016/s1474-4422(24)00038-3] [Show More Authors] [Citation(s) in RCA: 385] [Impact Index Per Article: 385.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 03/19/2024] [Imported: 10/07/2024]
Abstract
BACKGROUND Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021. METHODS We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined. FINDINGS Globally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378-521), affecting 3·40 billion (3·20-3·62) individuals (43·1%, 40·5-45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7-26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6-38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5-32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7-2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer. INTERPRETATION As the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed. FUNDING Bill & Melinda Gates Foundation.
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Riaz T, Zeeshan R, Zarif F, Ilyas K, Muhammad N, Safi SZ, Rahim A, Rizvi SAA, Rehman IU. FTIR analysis of natural and synthetic collagen. APPLIED SPECTROSCOPY REVIEWS 2018; 53:703-746. [DOI: 10.1080/05704928.2018.1426595] [Citation(s) in RCA: 281] [Impact Index Per Article: 40.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/16/2023] [Imported: 10/07/2024]
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Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2204-2256. [PMID: 38762325 PMCID: PMC11121021 DOI: 10.1016/s0140-6736(24)00685-8] [Show More Authors] [Citation(s) in RCA: 243] [Impact Index Per Article: 243.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 05/20/2024] [Imported: 10/07/2024]
Abstract
BACKGROUND Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. METHODS Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. FINDINGS In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8-63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0-45·0] in 2050) and south Asia (31·7% [29·2-34·1] to 15·5% [13·7-17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4-40·3) to 41·1% (33·9-48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6-25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5-43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5-17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7-11·3) in the high-income super-region to 23·9% (20·7-27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5-6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2-26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [-0·6 to 3·6]). INTERPRETATION Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions. FUNDING Bill & Melinda Gates Foundation.
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Safi SZ, Qvist R, Kumar S, Batumalaie K, Ismail ISB. Molecular mechanisms of diabetic retinopathy, general preventive strategies, and novel therapeutic targets. BIOMED RESEARCH INTERNATIONAL 2014; 2014:801269. [PMID: 25105142 PMCID: PMC4106080 DOI: 10.1155/2014/801269] [Citation(s) in RCA: 156] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2014] [Revised: 05/04/2014] [Accepted: 05/24/2014] [Indexed: 01/09/2023] [Imported: 10/07/2024]
Abstract
The growing number of people with diabetes worldwide suggests that diabetic retinopathy (DR) and diabetic macular edema (DME) will continue to be sight threatening factors. The pathogenesis of diabetic retinopathy is a widespread cause of visual impairment in the world and a range of hyperglycemia-linked pathways have been implicated in the initiation and progression of this condition. Despite understanding the polyol pathway flux, activation of protein kinase C (KPC) isoforms, increased hexosamine pathway flux, and increased advanced glycation end-product (AGE) formation, pathogenic mechanisms underlying diabetes induced vision loss are not fully understood. The purpose of this paper is to review molecular mechanisms that regulate cell survival and apoptosis of retinal cells and discuss new and exciting therapeutic targets with comparison to the old and inefficient preventive strategies. This review highlights the recent advancements in understanding hyperglycemia-induced biochemical and molecular alterations, systemic metabolic factors, and aberrant activation of signaling cascades that ultimately lead to activation of a number of transcription factors causing functional and structural damage to retinal cells. It also reviews the established interventions and emerging molecular targets to avert diabetic retinopathy and its associated risk factors.
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S, Yaghoobpour T, Yaghoubi S, Yahaya ZS, Yang D, Yang L, Yano Y, Yaribeygi H, Ye P, Yesodharan R, Yesuf SA, Yezli S, Yigezu A, Yip P, Yon DK, Yonemoto N, You Y, Younis MZ, Yousefi Z, Yu C, Yu Y, Yuan CW, Zafari N, Zakham F, Zaki N, Zamagni G, Zandi M, Zandieh GGZ, Zangiabadian M, Zastrozhin MS, Zhang H, Zhang M, Zhang Y, Zhong C, Zhou J, Zhu B, Zhu L, Zielińska M, Zou Z, Zyoud SH, Murray CJL, Smith AE, Vollset SE. Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2057-2099. [PMID: 38521087 PMCID: PMC11122687 DOI: 10.1016/s0140-6736(24)00550-6] [Show More Authors] [Citation(s) in RCA: 126] [Impact Index Per Article: 126.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/28/2023] [Accepted: 03/15/2024] [Indexed: 03/25/2024] [Imported: 10/07/2024]
Abstract
BACKGROUND Accurate assessments of current and future fertility-including overall trends and changing population age structures across countries and regions-are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to inform policies involving resource and health-care needs, labour supply, education, gender equality, and family planning and support. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 produced up-to-date and comprehensive demographic assessments of key fertility indicators at global, regional, and national levels from 1950 to 2021 and forecast fertility metrics to 2100 based on a reference scenario and key policy-dependent alternative scenarios. METHODS To estimate fertility indicators from 1950 to 2021, mixed-effects regression models and spatiotemporal Gaussian process regression were used to synthesise data from 8709 country-years of vital and sample registrations, 1455 surveys and censuses, and 150 other sources, and to generate age-specific fertility rates (ASFRs) for 5-year age groups from age 10 years to 54 years. ASFRs were summed across age groups to produce estimates of total fertility rate (TFR). Livebirths were calculated by multiplying ASFR and age-specific female population, then summing across ages 10-54 years. To forecast future fertility up to 2100, our Institute for Health Metrics and Evaluation (IHME) forecasting model was based on projections of completed cohort fertility at age 50 years (CCF50; the average number of children born over time to females from a specified birth cohort), which yields more stable and accurate measures of fertility than directly modelling TFR. CCF50 was modelled using an ensemble approach in which three sub-models (with two, three, and four covariates variously consisting of female educational attainment, contraceptive met need, population density in habitable areas, and under-5 mortality) were given equal weights, and analyses were conducted utilising the MR-BRT (meta-regression-Bayesian, regularised, trimmed) tool. To capture time-series trends in CCF50 not explained by these covariates, we used a first-order autoregressive model on the residual term. CCF50 as a proportion of each 5-year ASFR was predicted using a linear mixed-effects model with fixed-effects covariates (female educational attainment and contraceptive met need) and random intercepts for geographical regions. Projected TFRs were then computed for each calendar year as the sum of single-year ASFRs across age groups. The reference forecast is our estimate of the most likely fertility future given the model, past fertility, forecasts of covariates, and historical relationships between covariates and fertility. We additionally produced forecasts for multiple alternative scenarios in each location: the UN Sustainable Development Goal (SDG) for education is achieved by 2030; the contraceptive met need SDG is achieved by 2030; pro-natal policies are enacted to create supportive environments for those who give birth; and the previous three scenarios combined. Uncertainty from past data inputs and model estimation was propagated throughout analyses by taking 1000 draws for past and present fertility estimates and 500 draws for future forecasts from the estimated distribution for each metric, with 95% uncertainty intervals (UIs) given as the 2·5 and 97·5 percentiles of the draws. To evaluate the forecasting performance of our model and others, we computed skill values-a metric assessing gain in forecasting accuracy-by comparing predicted versus observed ASFRs from the past 15 years (2007-21). A positive skill metric indicates that the model being evaluated performs better than the baseline model (here, a simplified model holding 2007 values constant in the future), and a negative metric indicates that the evaluated model performs worse than baseline. FINDINGS During the period from 1950 to 2021, global TFR more than halved, from 4·84 (95% UI 4·63-5·06) to 2·23 (2·09-2·38). Global annual livebirths peaked in 2016 at 142 million (95% UI 137-147), declining to 129 million (121-138) in 2021. Fertility rates declined in all countries and territories since 1950, with TFR remaining above 2·1-canonically considered replacement-level fertility-in 94 (46·1%) countries and territories in 2021. This included 44 of 46 countries in sub-Saharan Africa, which was the super-region with the largest share of livebirths in 2021 (29·2% [28·7-29·6]). 47 countries and territories in which lowest estimated fertility between 1950 and 2021 was below replacement experienced one or more subsequent years with higher fertility; only three of these locations rebounded above replacement levels. Future fertility rates were projected to continue to decline worldwide, reaching a global TFR of 1·83 (1·59-2·08) in 2050 and 1·59 (1·25-1·96) in 2100 under the reference scenario. The number of countries and territories with fertility rates remaining above replacement was forecast to be 49 (24·0%) in 2050 and only six (2·9%) in 2100, with three of these six countries included in the 2021 World Bank-defined low-income group, all located in the GBD super-region of sub-Saharan Africa. The proportion of livebirths occurring in sub-Saharan Africa was forecast to increase to more than half of the world's livebirths in 2100, to 41·3% (39·6-43·1) in 2050 and 54·3% (47·1-59·5) in 2100. The share of livebirths was projected to decline between 2021 and 2100 in most of the six other super-regions-decreasing, for example, in south Asia from 24·8% (23·7-25·8) in 2021 to 16·7% (14·3-19·1) in 2050 and 7·1% (4·4-10·1) in 2100-but was forecast to increase modestly in the north Africa and Middle East and high-income super-regions. Forecast estimates for the alternative combined scenario suggest that meeting SDG targets for education and contraceptive met need, as well as implementing pro-natal policies, would result in global TFRs of 1·65 (1·40-1·92) in 2050 and 1·62 (1·35-1·95) in 2100. The forecasting skill metric values for the IHME model were positive across all age groups, indicating that the model is better than the constant prediction. INTERPRETATION Fertility is declining globally, with rates in more than half of all countries and territories in 2021 below replacement level. Trends since 2000 show considerable heterogeneity in the steepness of declines, and only a small number of countries experienced even a slight fertility rebound after their lowest observed rate, with none reaching replacement level. Additionally, the distribution of livebirths across the globe is shifting, with a greater proportion occurring in the lowest-income countries. Future fertility rates will continue to decline worldwide and will remain low even under successful implementation of pro-natal policies. These changes will have far-reaching economic and societal consequences due to ageing populations and declining workforces in higher-income countries, combined with an increasing share of livebirths among the already poorest regions of the world. FUNDING Bill & Melinda Gates Foundation.
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Age-sex differences in the global burden of lower respiratory infections and risk factors, 1990-2019: results from the Global Burden of Disease Study 2019. THE LANCET. INFECTIOUS DISEASES 2022; 22:1626-1647. [PMID: 35964613 PMCID: PMC9605880 DOI: 10.1016/s1473-3099(22)00510-2] [Show More Authors] [Citation(s) in RCA: 122] [Impact Index Per Article: 40.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/18/2022] [Accepted: 07/18/2022] [Indexed: 12/03/2022] [Imported: 10/07/2024]
Abstract
BACKGROUND The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. METHODS In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466-469, 470.0, 480-482.8, 483.0-483.9, 484.1-484.2, 484.6-484.7, and 487-489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4-B97.6, J09-J15.8, J16-J16.9, J20-J21.9, J91.0, P23.0-P23.4, and U04-U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age-sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age-sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. FINDINGS Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240-275) LRI incident episodes in males and 232 million (217-248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18-1·42) male deaths and 1·20 million (1·07-1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16-1·18) and 1·31 times (95% UI 1·23-1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4-131·1]) and deaths (100·0% [83·4-115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (-70·7% [-77·2 to -61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7-61·8] in males and 56·4% [40·7-65·1] in females), and more than a quarter of LRI deaths among those aged 5-14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6-35·5] for males and PAF 25·8% [16·3-35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4-25·2) in those aged 15-49 years, 30·5% (24·1-36·9) in those aged 50-69 years, and 21·9% (16·8-27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5-27·9) in those aged 15-49 years and 18·2% (12·5-24·5) in those aged 50-69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2-15·8) of LRI deaths. INTERPRETATION The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. FUNDING Bill & Melinda Gates Foundation.
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Waheed Y, Shafi T, Safi SZ, Qadri I. Hepatitis C virus in Pakistan: a systematic review of prevalence, genotypes and risk factors. World J Gastroenterol 2009; 15:5647-5653. [PMID: 19960560 PMCID: PMC2789216 DOI: 10.3748/wjg.15.5647] [Citation(s) in RCA: 100] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2009] [Revised: 07/31/2009] [Accepted: 08/07/2009] [Indexed: 02/06/2023] [Imported: 10/07/2024] Open
Abstract
In Pakistan more than 10 million people are living with Hepatitis C virus (HCV), with high morbidity and mortality. This article reviews the prevalence, genotypes and factors associated with HCV infection in the Pakistani population. A literature search was performed by using the keywords; HCV prevalence, genotypes and risk factors in a Pakistani population, in Pubmed, PakMediNet and Google scholar. Ninety-one different studies dating from 1994 to May 2009 were included in this study, and weighted mean and standard error of each population group was calculated. Percentage prevalence of HCV was 4.95% +/- 0.53% in the general adult population, 1.72% +/- 0.24% in the pediatric population and 3.64% +/- 0.31% in a young population applying for recruitment, whereas a very high 57% +/- 17.7% prevalence was observed in injecting drug users and 48.67% +/- 1.75% in a multi-transfused population. Most prevalent genotype of HCV was 3a. HCV prevalence was moderate in the general population but very high in injecting drug users and multi-transfused populations. This data suggests that the major contributing factors towards increased HCV prevalence include unchecked blood transfusions and reuse of injection syringes. Awareness programs are required to decrease the future burden of HCV in the Pakistani population.
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Khan ZUH, Sadiq HM, Shah NS, Khan AU, Muhammad N, Hassan SU, Tahir K, Safi SZ, Khan FU, Imran M, Ahmad N, Ullah F, Ahmad A, Sayed M, Khalid MS, Qaisrani SA, Ali M, Zakir A. Greener synthesis of zinc oxide nanoparticles using Trianthema portulacastrum extract and evaluation of its photocatalytic and biological applications. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY. B, BIOLOGY 2019; 192:147-157. [PMID: 30738346 DOI: 10.1016/j.jphotobiol.2019.01.013] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 12/20/2018] [Accepted: 01/29/2019] [Indexed: 11/21/2022] [Imported: 10/07/2024]
Abstract
Synthesis of nanoparticles (NPs) through "green" chemistry is an exciting area of research with wide applications. Trianthema portulacastrum's extract containing greater amount of reducing agents has been explored first time for the synthesis of ZnO-NPs that characterized with UV/Vis, XRD, FT-IR, SEM,EDX, HR-TEM and XPS. The particles of ZnO-NPs are crystalline and having the size in the range of 25-90 nm. The cell viability of ZnO-NPs was studied using Mouse pre-osteoblast cell line MC3T3-E1 sub-clone 14 cells which confirmed its biocompatibility that render for biomedical applications. The antibacterial properties were evaluated against Staphylococcus aureus and Escherichia coli which showed high potency of synthesized ZnO-NPs against these species. The antifungal activities of ZnO-NPs were screened against Aspergillus niger, Aspergillus flavus, Aspergillus fumigatus of fungal species. The antioxidant activity of the as-synthesized NPs was also studied using DPPH (2, 2-diphenyl-1-picrylhydrazyl) substrate. The ZnO-NPs were evaluated for catalytic activity through degradation of Synozol Navy Blue-KBF textile dye using solar irradiation that causes 91% degradation of the dye in 159 min. Mechanistic pathways for the degradation of Synozol Navy Blue-KBF dye using ZnO-NPs were also proposed from the pattern of the degradation of the dye and the resulting by-products. The results concluded that the ZnO-NPs synthesized by green method have high biological and photocatalytic applications.
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Wu D, Jin Y, Xing Y, Abate MD, Abbasian M, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abd-Allah F, Abdelmasseh M, Abdollahifar MA, Abdulah DM, Abedi A, Abedi V, Abidi H, Aboagye RG, Abolhassani H, Abuabara K, Abyadeh M, Addo IY, Adeniji KN, Adepoju AV, Adesina MA, Sakilah Adnani QE, Afarideh M, Aghamiri S, Agodi A, Agrawal A, Aguilera Arriagada CE, Ahmad A, Ahmad D, Ahmad S, Ahmad S, Ahmadi A, Ahmed A, Ahmed A, Aithala JP, Ajadi AA, Ajami M, Akbarzadeh-Khiavi M, Alahdab F, AlBataineh MT, Alemi S, Saeed Al-Gheethi AA, Ali L, Alif SM, Almazan JU, Almustanyir S, Alqahtani JS, Alqasmi I, Khan Altaf IU, Alvis-Guzman N, Alvis-Zakzuk NJ, Al-Worafi YM, Aly H, Amani R, Amu H, Amusa GA, Andrei CL, Ansar A, Ansariniya H, Anyasodor AE, Arabloo J, Arefnezhad R, Arulappan J, Asghari-Jafarabadi M, Ashraf T, Atata JA, Athari SS, Atlaw D, Wahbi Atout MM, Aujayeb A, Awan AT, Ayatollahi H, Azadnajafabad S, Azzam AY, Badawi A, Badiye AD, Bagherieh S, Baig AA, Bantie BB, Barchitta M, Bardhan M, Barker-Collo SL, Barone-Adesi F, Batra K, Bayileyegn NS, Behnoush AH, Belgaumi UI, Bemanalizadeh M, Bensenor IM, Beyene KA, Bhagavathula AS, Bhardwaj P, Bhaskar S, Bhat AN, Bitaraf S, Bitra VR, Boloor A, Bora K, Botelho JS, et alWu D, Jin Y, Xing Y, Abate MD, Abbasian M, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abd-Allah F, Abdelmasseh M, Abdollahifar MA, Abdulah DM, Abedi A, Abedi V, Abidi H, Aboagye RG, Abolhassani H, Abuabara K, Abyadeh M, Addo IY, Adeniji KN, Adepoju AV, Adesina MA, Sakilah Adnani QE, Afarideh M, Aghamiri S, Agodi A, Agrawal A, Aguilera Arriagada CE, Ahmad A, Ahmad D, Ahmad S, Ahmad S, Ahmadi A, Ahmed A, Ahmed A, Aithala JP, Ajadi AA, Ajami M, Akbarzadeh-Khiavi M, Alahdab F, AlBataineh MT, Alemi S, Saeed Al-Gheethi AA, Ali L, Alif SM, Almazan JU, Almustanyir S, Alqahtani JS, Alqasmi I, Khan Altaf IU, Alvis-Guzman N, Alvis-Zakzuk NJ, Al-Worafi YM, Aly H, Amani R, Amu H, Amusa GA, Andrei CL, Ansar A, Ansariniya H, Anyasodor AE, Arabloo J, Arefnezhad R, Arulappan J, Asghari-Jafarabadi M, Ashraf T, Atata JA, Athari SS, Atlaw D, Wahbi Atout MM, Aujayeb A, Awan AT, Ayatollahi H, Azadnajafabad S, Azzam AY, Badawi A, Badiye AD, Bagherieh S, Baig AA, Bantie BB, Barchitta M, Bardhan M, Barker-Collo SL, Barone-Adesi F, Batra K, Bayileyegn NS, Behnoush AH, Belgaumi UI, Bemanalizadeh M, Bensenor IM, Beyene KA, Bhagavathula AS, Bhardwaj P, Bhaskar S, Bhat AN, Bitaraf S, Bitra VR, Boloor A, Bora K, Botelho JS, Buchbinder R, Calina D, Cámera LA, Carvalho AF, Kai Chan JS, Chattu VK, Abebe EC, Chichagi F, Choi S, Chou TC, Chu DT, Coberly K, Costa VM, Couto RA, Cruz-Martins N, Dadras O, Dai X, Damiani G, Dascalu AM, Dashti M, Debela SA, Dellavalle RP, Demetriades AK, Demlash AA, Deng X, Desai HD, Desai R, Rahman Dewan SM, Dey S, Dharmaratne SD, Diaz D, Dibas M, Dinis-Oliveira RJ, Diress M, Do TC, Doan DK, Dodangeh M, Dodangeh M, Dongarwar D, Dube J, Dziedzic AM, Ed-Dra A, Edinur HA, Eissazade N, Ekholuenetale M, Ekundayo TC, Elemam NM, Elhadi M, Elmehrath AO, Abdou Elmeligy OA, Emamverdi M, Emeto TI, Esayas HL, Eshetu HB, Etaee F, Fagbamigbe AF, Faghani S, Fakhradiyev IR, Fatehizadeh A, Fathi M, Feizkhah A, Fekadu G, Fereidouni M, Fereshtehnejad SM, Fernandes JC, Ferrara P, Fetensa G, Filip I, Fischer F, Foroutan B, Foroutan M, Fukumoto T, Ganesan B, Belete Gemeda BN, Ghamari SH, Ghasemi M, Gholamalizadeh M, Gill TK, Gillum RF, Goldust M, Golechha M, Goleij P, Golinelli D, Goudarzi H, Guan SY, Guo Y, Gupta B, Gupta VB, Gupta VK, Haddadi R, Hadi NR, Halwani R, Haque S, Hasan I, Hashempour R, Hassan A, Hassan TS, Hassanzadeh S, Hassen MB, Haubold J, Hayat K, Heidari G, Heidari M, Heidari-Soureshjani R, Herteliu C, Hessami K, Hezam K, Hiraike Y, Holla R, Hosseini MS, Huynh HH, Hwang BF, Ibitoye SE, Ilic IM, Ilic MD, Iranmehr A, Iravanpour F, Ismail NE, Iwagami M, Iwu CC, Jacob L, Jafarinia M, Jafarzadeh A, Jahankhani K, Jahrami H, Jakovljevic M, Jamshidi E, Jani CT, Janodia MD, Jayapal SK, Jayaram S, Jeganathan J, Jonas JB, Joseph A, Joseph N, Joshua CE, Vaishali K, Kaambwa B, Kabir A, Kabir Z, Kadashetti V, Kaliyadan F, Kalroozi F, Kamal VK, Kandel A, Kandel H, Kanungo S, Karami J, Karaye IM, Karimi H, Kasraei H, Kazemian S, Kebede SA, Keikavoosi-Arani L, Keykhaei M, Khader YS, Khajuria H, Khamesipour F, Khan EA, Khan IA, Khan M, Khan MJ, Khan MA, Khan MA, Khatatbeh H, Khatatbeh MM, Khateri S, Khayat Kashani HR, Kim MS, Kisa A, Kisa S, Koh HY, Kolkhir P, Korzh O, Kotnis AL, Koul PA, Koyanagi A, Krishan K, Kuddus M, Kulkarni VV, Kumar N, Kundu S, Kurmi OP, La Vecchia C, Lahariya C, Laksono T, Lám J, Latief K, Lauriola P, Lawal BK, Thu Le TT, Bich Le TT, Lee M, Lee SW, Lee WC, Lee YH, Lenzi J, Levi M, Li W, Ligade VS, Lim SS, Liu G, Liu X, Llanaj E, Lo CH, Machado VS, Maghazachi AA, Mahmoud MA, Mai TA, Majeed A, Sanaye PM, Makram OM, Rad EM, Malhotra K, Malik AA, Malik I, Mallhi TH, Malta DC, Mansournia MA, Mantovani LG, Martorell M, Masoudi S, Masoumi SZ, Mathangasinghe Y, Mathews E, Mathioudakis AG, Maugeri A, Mayeli M, Carabeo Medina JR, Meles GG, Mendes JJ, Menezes RG, Mestrovic T, Michalek IM, Micheletti Gomide Nogueira de Sá AC, Mihretie ET, Nhat Minh LH, Mirfakhraie R, Mirrakhimov EM, Misganaw A, Mohamadkhani A, Mohamed NS, Mohammadi F, Mohammadi S, Mohammed S, Mohammed S, Mohan S, Mohseni A, Mokdad AH, Momtazmanesh S, Monasta L, Moni MA, Moniruzzaman M, Moradi Y, Morovatdar N, Mostafavi E, Mousavi P, Mukoro GD, Mulita A, Mulu GB, Murillo-Zamora E, Musaigwa F, Mustafa G, Muthu S, Nainu F, Nangia V, Swamy SN, Natto ZS, Navaraj P, Nayak BP, Nazri-Panjaki A, Negash H, Nematollahi MH, Nguyen DH, Hien Nguyen HT, Nguyen HQ, Nguyen PT, Nguyen VT, Niazi RK, Nikolouzakis TK, Nnyanzi LA, Noreen M, Nzoputam CI, Nzoputam OJ, Oancea B, Oh IH, Okati-Aliabad H, Okonji OC, Okwute PG, Olagunju AT, Olatubi MI, Olufadewa II, Ordak M, Otstavnov N, Owolabi MO, Mahesh P, Padubidri JR, Pak A, Pakzad R, Palladino R, Pana A, Pantazopoulos I, Papadopoulou P, Pardhan S, Parthasarathi A, Pashaei A, Patel J, Pathan AR, Patil S, Paudel U, Pawar S, Pedersini P, Pensato U, Pereira DM, Pereira J, Pereira MO, Pereira RB, Peres MF, Perianayagam A, Perna S, Petcu IR, Pezeshki PS, Pham HT, Philip AK, Piradov MA, Podder I, Podder V, Poddighe D, Sady Prates EJ, Qattea I, Radfar A, Raee P, Rafiei A, Raggi A, Rahim F, Rahimi M, Rahimifard M, Rahimi-Movaghar V, Rahman MO, Ur Rahman MH, Rahman M, Rahman MA, Rahmani AM, Rahmani M, Rahmani S, Rahmanian V, Ramasubramani P, Rancic N, Rao IR, Rashedi S, Rashid AM, Ravikumar N, Rawaf S, Mohamed Redwan EM, Rezaei N, Rezaei N, Rezaei N, Rezaeian M, Ribeiro D, Rodrigues M, Buendia Rodriguez JA, Roever L, Romero-Rodríguez E, Saad AM, Saddik B, Sadeghian S, Saeed U, Safary A, Safdarian M, Safi SZ, Saghazadeh A, Sagoe D, Sharif-Askari FS, Sharif-Askari NS, Sahebkar A, Sahoo H, Sahraian MA, Sajid MR, Sakhamuri S, Sakshaug JW, Saleh MA, Salehi L, Salehi S, Farrokhi AS, Samadzadeh S, Samargandy S, Samieefar N, Samy AM, Sanadgol N, Sanjeev RK, Sawhney M, Saya GK, Schuermans A, Senthilkumaran S, Sepanlou SG, Sethi Y, Shafie M, Shah H, Shahid I, Shahid S, Shaikh MA, Sharfaei S, Sharma M, Shayan M, Shehata HS, Sheikh A, Shetty JK, Shin JI, Shirkoohi R, Shitaye NA, Shivakumar K, Shivarov V, Shobeiri P, Siabani S, Sibhat MM, Siddig EE, Simpson CR, Sinaei E, Singh H, Singh I, Singh JA, Singh P, Singh S, Siraj MS, Al Mamun Sohag A, Solanki R, Solikhah S, Solomon Y, Soltani-Zangbar MS, Sun J, Szeto MD, Tabarés-Seisdedos R, Tabatabaei SM, Tabish M, Taheri E, Tahvildari A, Talaat IM, Lukenze Tamuzi JJ, Tan KK, Tat NY, Oliaee RT, Tavasol A, Temsah MH, Thangaraju P, Tharwat S, Tibebu NS, Vera Ticoalu JH, Tillawi T, Tiruye TY, Tiyuri A, Tovani-Palone MR, Tripathi M, Tsegay GM, Tualeka AR, Ty SS, Ubah CS, Ullah S, Ullah S, Umair M, Umakanthan S, Upadhyay E, Vahabi SM, Vaithinathan AG, Tahbaz SV, Valizadeh R, Varthya SB, Vasankari TJ, Venketasubramanian N, Verras GI, Villafañe JH, Vlassov V, Vo DC, Waheed Y, Waris A, Welegebrial BG, Westerman R, Wickramasinghe DP, Wickramasinghe ND, Willekens B, Woldegeorgis BZ, Woldemariam M, Xiao H, Yada DY, Yahya G, Yang L, Yazdanpanah F, Yon DK, Yonemoto N, You Y, Zahir M, Zaidi SS, Zangiabadian M, Zare I, Zeineddine MA, Zemedikun DT, Zeru NG, Zhang C, Zhao H, Zhong C, Zielińska M, Zoladl M, Zumla A, Guo C, Tam LS. Global, regional, and national incidence of six major immune-mediated inflammatory diseases: findings from the global burden of disease study 2019. EClinicalMedicine 2023; 64:102193. [PMID: 37731935 PMCID: PMC10507198 DOI: 10.1016/j.eclinm.2023.102193] [Show More Authors] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 09/22/2023] [Imported: 10/07/2024] Open
Abstract
BACKGROUND The causes for immune-mediated inflammatory diseases (IMIDs) are diverse and the incidence trends of IMIDs from specific causes are rarely studied. The study aims to investigate the pattern and trend of IMIDs from 1990 to 2019. METHODS We collected detailed information on six major causes of IMIDs, including asthma, inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis, psoriasis, and atopic dermatitis, between 1990 and 2019, derived from the Global Burden of Disease study in 2019. The average annual percent change (AAPC) in number of incidents and age standardized incidence rate (ASR) on IMIDs, by sex, age, region, and causes, were calculated to quantify the temporal trends. FINDINGS In 2019, rheumatoid arthritis, atopic dermatitis, asthma, multiple sclerosis, psoriasis, inflammatory bowel disease accounted 1.59%, 36.17%, 54.71%, 0.09%, 6.84%, 0.60% of overall new IMIDs cases, respectively. The ASR of IMIDs showed substantial regional and global variation with the highest in High SDI region, High-income North America, and United States of America. Throughout human lifespan, the age distribution of incident cases from six IMIDs was quite different. Globally, incident cases of IMIDs increased with an AAPC of 0.68 and the ASR decreased with an AAPC of -0.34 from 1990 to 2019. The incident cases increased across six IMIDs, the ASR of rheumatoid arthritis increased (0.21, 95% CI 0.18, 0.25), while the ASR of asthma (AAPC = -0.41), inflammatory bowel disease (AAPC = -0.72), multiple sclerosis (AAPC = -0.26), psoriasis (AAPC = -0.77), and atopic dermatitis (AAPC = -0.15) decreased. The ASR of overall and six individual IMID increased with SDI at regional and global level. Countries with higher ASR in 1990 experienced a more rapid decrease in ASR. INTERPRETATION The incidence patterns of IMIDs varied considerably across the world. Innovative prevention and integrative management strategy are urgently needed to mitigate the increasing ASR of rheumatoid arthritis and upsurging new cases of other five IMIDs, respectively. FUNDING The Global Burden of Disease Study is funded by the Bill and Melinda Gates Foundation. The project funded by Scientific Research Fund of Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (2022QN38).
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Peden AE, Cullen P, Francis KL, Moeller H, Peden MM, Ye P, Tian M, Zou Z, Sawyer SM, Aali A, Abbasi-Kangevari Z, Abbasi-Kangevari M, Abdelmasseh M, Abdoun M, Abd-Rabu R, Abdulah DM, Abebe G, Abebe AM, Abedi A, Abidi H, Aboagye RG, Abubaker Ali H, Abu-Gharbieh E, Adane DE, Adane TD, Addo IY, Adewole OG, Adhikari S, Adnan M, Adnani QES, Afolabi AAB, Afzal S, Afzal MS, Aghdam ZB, Ahinkorah BO, Ahmad AR, Ahmad T, Ahmad S, Ahmadi A, Ahmed H, Ahmed MB, Ahmed A, Ahmed A, Ahmed JQ, Ahmed Rashid T, Aithala JP, Aji B, Akhlaghdoust M, Alahdab F, Alanezi FM, Alemayehu A, Al Hamad H, Ali SS, Ali L, Alimohamadi Y, Alipour V, Aljunid SM, Almidani L, Almustanyir S, Altirkawi KA, Alvis-Zakzuk NJ, Ameyaw EK, Amin TT, Amir-Behghadami M, Amiri S, Amiri H, Anagaw TF, Andrei T, Andrei CL, Anvari D, Anwar SL, Anyasodor AE, Arabloo J, Arab-Zozani M, Arja A, Arulappan J, Arumugam A, Aryannejad A, Asgary S, Ashraf T, Athari SS, Atreya A, Attia S, Aujayeb A, Awedew AF, Azadnajafabad S, Azangou-Khyavy M, Azari S, Azari Jafari A, Azizi H, Azzam AY, Badiye AD, Baghcheghi N, Bagherieh S, Baig AA, Bakkannavar SM, Balta AB, Banach M, Banik PC, Bansal H, et alPeden AE, Cullen P, Francis KL, Moeller H, Peden MM, Ye P, Tian M, Zou Z, Sawyer SM, Aali A, Abbasi-Kangevari Z, Abbasi-Kangevari M, Abdelmasseh M, Abdoun M, Abd-Rabu R, Abdulah DM, Abebe G, Abebe AM, Abedi A, Abidi H, Aboagye RG, Abubaker Ali H, Abu-Gharbieh E, Adane DE, Adane TD, Addo IY, Adewole OG, Adhikari S, Adnan M, Adnani QES, Afolabi AAB, Afzal S, Afzal MS, Aghdam ZB, Ahinkorah BO, Ahmad AR, Ahmad T, Ahmad S, Ahmadi A, Ahmed H, Ahmed MB, Ahmed A, Ahmed A, Ahmed JQ, Ahmed Rashid T, Aithala JP, Aji B, Akhlaghdoust M, Alahdab F, Alanezi FM, Alemayehu A, Al Hamad H, Ali SS, Ali L, Alimohamadi Y, Alipour V, Aljunid SM, Almidani L, Almustanyir S, Altirkawi KA, Alvis-Zakzuk NJ, Ameyaw EK, Amin TT, Amir-Behghadami M, Amiri S, Amiri H, Anagaw TF, Andrei T, Andrei CL, Anvari D, Anwar SL, Anyasodor AE, Arabloo J, Arab-Zozani M, Arja A, Arulappan J, Arumugam A, Aryannejad A, Asgary S, Ashraf T, Athari SS, Atreya A, Attia S, Aujayeb A, Awedew AF, Azadnajafabad S, Azangou-Khyavy M, Azari S, Azari Jafari A, Azizi H, Azzam AY, Badiye AD, Baghcheghi N, Bagherieh S, Baig AA, Bakkannavar SM, Balta AB, Banach M, Banik PC, Bansal H, Bardhan M, Barone-Adesi F, Barrow A, Bashiri A, Baskaran P, Basu S, Bayileyegn NS, Bekel AA, Bekele AB, Bendak S, Bensenor IM, Berhie AY, Bhagat DS, Bhagavathula AS, Bhardwaj P, Bhardwaj N, Bhaskar S, Bhat AN, Bhattacharyya K, Bhutta ZA, Bibi S, Bintoro BS, Bitaraf S, Bodicha BBA, Boloor A, Bouaoud S, Brown J, Burkart K, Butt NS, Butt MH, Cámera LA, Campuzano Rincon JC, Cao C, Carvalho AF, Carvalho M, Chakraborty PA, Chandrasekar EK, Chang JC, Charalampous P, Charan J, Chattu VK, Chekole BM, Chitheer A, Cho DY, Chopra H, Christopher DJ, Chukwu IS, Cruz-Martins N, Dadras O, Dahlawi SMA, Dai X, Damiani G, Darmstadt GL, Darvishi Cheshmeh Soltani R, Darwesh AM, Das S, Dastiridou A, Debela SA, Dehghan A, Demeke GM, Demetriades AK, Demissie S, Dessalegn FN, Desta AA, Dianatinasab M, Diao N, Dias da Silva D, Diaz D, Digesa LE, Diress M, Djalalinia S, Doan LP, Dodangeh M, Doku PN, Dongarwar D, Dsouza HL, Eini E, Ekholuenetale M, Ekundayo TC, Elagali AEM, Elbahnasawy MA, Elhabashy HR, Elhadi M, El Sayed Zaki M, Enyew DB, Erkhembayar R, Eskandarieh S, Etaee F, Fagbamigbe AF, Faris PS, Farmany A, Faro A, Farzadfar F, Fatehizadeh A, Fereshtehnejad SM, Feroze AH, Fetensa G, Feyisa BR, Filip I, Fischer F, Foroutan B, Foroutan M, Fowobaje KR, Franklin RC, Fukumoto T, Gaal PA, Gadanya MA, Galali Y, Galehdar N, Ganesan B, Garg T, Gebrehiwot MGD, Gebremariam YH, Gela YY, Gerema U, Ghafourifard M, Ghamari SH, Ghanbari R, Ghasemi Nour M, Gholamalizadeh M, Gholami A, Gholamrezanezhad A, Ghozy S, Gilani SA, Gill TK, Giné-Vázquez I, Girma ZA, Glasbey JC, Glozah FN, Golechha M, Goleij P, Grivna M, Guadie HA, Gunawardane DA, Guo Y, Gupta VB, Gupta S, Gupta B, Gupta VK, Haj-Mirzaian A, Halwani R, Hamadeh RR, Hameed S, Hanif A, Hargono A, Harlianto NI, Harorani M, Hasaballah AI, Hasan SMM, Hassan A, Hassanipour S, Hassankhani H, Havmoeller RJ, Hay SI, Heidari M, Hendrie D, Heyi DZ, Hiraike Y, Holla R, Horita N, Hossain SJ, Hossain MBH, Hosseini Shabanan S, Hosseinzadeh M, Hostiuc S, Hoveidaei AH, Hsiao AK, Hussain S, Hussein A, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Immurana M, Inbaraj LR, Islam SMS, Islam RM, Islam MM, Ismail NE, J LM, Jahrami H, Jakovljevic M, Janodia MD, Javaheri T, Jayapal SK, Jayarajah UU, Jayaraman S, Jeganathan J, Jemal B, Jha RP, Jonas JB, Joo T, Joseph N, Jozwiak JJ, Jürisson M, Kabir A, Kadashetti V, Kadir DH, Kalankesh LR, Kalankesh LR, Kalhor R, Kamal VK, Kamath R, Kandel H, Kantar RS, Kapoor N, Karami H, Karaye IM, Karkhah S, Katoto PDMC, Kauppila JH, Kayode GA, Keikavoosi-Arani L, Keskin C, Khader YS, Khajuria H, Khammarnia M, Khan EA, Khan MN, Khan M, Khan YH, Khan IA, Khan A, Khan MAB, Khanali J, Khatatbeh MM, Khayat Kashani HR, Khubchandani J, Kifle ZD, Kim J, Kim YJ, Kisa S, Kisa A, Kneib CJ, Kompani F, Koohestani HR, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy V, Kucuk Bicer B, Kumar N, Kumar N, Kumar N, Kumar M, Kurmi OP, Laflamme L, Lám J, Landires I, Larijani B, Lasrado S, Lauriola P, La Vecchia C, Lee SWH, Lee YH, Lee SW, Lee WC, Legesse SM, Li S, Lim SS, Lorenzovici L, Luke AO, Madadizadeh F, Madureira-Carvalho ÁM, Magdy Abd El Razek M, Mahjoub S, Mahmoodpoor A, Mahmoudi R, Mahmoudimanesh M, Majeed A, Makki A, Malakan Rad E, Malekpour MR, Malik AA, Mallhi TH, Malta DC, Mansouri B, Mansournia MA, Mathews E, Maulud SQ, Mazingi D, Mehrabi Nasab E, Mendoza-Cano O, Menezes RG, Mengistu DA, Mentis AFA, Meretoja A, Mesregah MK, Mestrovic T, Micheletti Gomide Nogueira de Sá AC, Miller TR, Mirghaderi SP, Mirica A, Mirmoeeni S, Mirrakhimov EM, Mirza M, Misra S, Mithra P, Mittal C, Moberg ME, Mohammadi M, Mohammadi S, Mohammadi E, Mohammadpourhodki R, Mohammed S, Mohammed TA, Mohseni M, Mokdad AH, Momtazmanesh S, Monasta L, Moni MA, Moreira RS, Morrison SD, Mostafavi E, Mousavi Isfahani H, Mubarik S, Muccioli L, Mukherjee S, Mulita F, Mustafa G, Nagarajan AJ, Naimzada MD, Nangia V, Nassereldine H, Natto ZS, Nayak BP, Negoi I, Nejadghaderi SA, Nepal S, Neupane Kandel S, Noroozi N, Nuñez-Samudio V, Nzoputam OJ, Nzoputam CI, Ochir C, Odhiambo JN, Odukoya OO, Okati-Aliabad H, Okonji OC, Olagunju AT, Omar Bali A, Omer E, Otoiu A, Otstavnov SS, Otstavnov N, Oumer B, Owolabi MO, P A M, Padron-Monedero A, Padubidri JR, Pahlevan Fallahy MT, Palicz T, Panda-Jonas S, Pandi-Perumal SR, Pardhan S, Park EK, Patel SK, Pathan AR, Pati S, Paudel U, Pawar S, Pedersini P, Peres MFP, Petcu IR, Phillips MR, Pillay JD, Piracha ZZ, Poursadeqiyan M, Pourtaheri N, Qattea I, Radfar A, Rafiee A, Raghav PR, Rahim F, Rahman MA, Rahman FS, Rahman M, Rahmani AM, Rahmani S, Raj Moolambally S, Ramazanu S, Ramezanzadeh K, Rana J, Rao CR, Rao SJ, Rashedi V, Rashidi MM, Rastogi P, Rasul A, Rawaf S, Rawaf DL, Rawal L, Rawassizadeh R, Rezaei N, Rezaei N, Rezaeian M, Rezapour A, Riad A, Riaz M, Rickard J, Rodriguez JAB, Roever L, Ronfani L, Roy B, S M, Saad AMA, Sabour S, Sabzmakan L, Saddik B, Sadeghi M, Saeb MR, Saeed U, Saeedi Moghaddam S, Safi SZ, Sahiledengle B, Sahoo H, Sahraian MA, Saki M, Salamati P, Salehi S, Salem MR, Samy AM, Sanabria J, Santric-Milicevic MM, Saqib MAN, Sarikhani Y, Sarveazad A, Sathian B, Satpathy M, Saya GK, Schneider IJC, Schwebel DC, Seddighi H, Senthilkumaran S, Seylani A, Shabaninejad H, Shafeghat M, Shah PA, Shahabi S, Shahbandi A, Shahraki-Sanavi F, Shaikh MA, Shaker E, Shams-Beyranvand M, Shanawaz M, Shannawaz M, Sharew MMS, Sharma N, Shashamo BB, Shayan M, Sheikhi RA, Shen J, Shetty BSK, Shetty PH, Shin JI, Shitaye NA, Shivakumar KM, Shobeiri P, Shorofi SA, Shrestha S, Siabani S, Sidemo NB, Simegn W, Sinaei E, Singh P, Sinto R, Siraj MS, Skryabin VY, Skryabina AA, Sleet DA, S N C, Socea B, Solmi M, Solomon Y, Song Y, Sousa RARC, Soyiri IN, Stokes MA, Suleman M, Suliankatchi Abdulkader R, Sun J, Szócska M, Tabarés-Seisdedos R, Tabatabaei SM, Tabish M, Taheri E, Taheri Soodejani M, Tampa M, Tan KK, Tarigan IU, Tariqujjaman M, Tat NY, Tat VY, Tavakoli A, Tefera BN, Tefera YM, Temesgen G, Temsah MH, Thangaraju P, Thapar R, Thomas NK, Ticoalu JHV, Tincho MB, Tiyuri A, Togtmol M, Tovani-Palone MR, Tran MTN, Ullah S, Ullah S, Ullah I, Umakanthan S, Unnikrishnan B, Upadhyay E, Valadan Tahbaz S, Valdez PR, Vasankari TJ, Vaziri S, Veroux M, Vervoort D, Violante FS, Vlassov V, Vu LG, Waheed Y, Wang Y, Wang YP, Wang C, Wiangkham T, Wickramasinghe ND, Woday AT, Wu AM, Yahya GAT, Yahyazadeh Jabbari SH, Yang L, Yaya S, Yigit A, Yiğit V, Yisihak E, Yonemoto N, You Y, Younis MZ, Yu C, Yunusa I, Yusefi H, Zahir M, Zaman SB, Zare I, Zarea K, Zastrozhin MS, Zhang ZJ, Zhang Y, Ziapour A, Zodpey S, Zoladl M, Patton GC, Ivers RQ. Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019. Lancet Public Health 2022; 7:e657-e669. [PMID: 35779567 PMCID: PMC9329128 DOI: 10.1016/s2468-2667(22)00134-7] [Show More Authors] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/24/2022] [Accepted: 05/25/2022] [Indexed: 01/22/2023] [Imported: 10/07/2024]
Abstract
BACKGROUND Globally, transport and unintentional injuries persist as leading preventable causes of mortality and morbidity for adolescents. We sought to report comprehensive trends in injury-related mortality and morbidity for adolescents aged 10-24 years during the past three decades. METHODS Using the Global Burden of Disease, Injuries, and Risk Factors 2019 Study, we analysed mortality and disability-adjusted life-years (DALYs) attributed to transport and unintentional injuries for adolescents in 204 countries. Burden is reported in absolute numbers and age-standardised rates per 100 000 population by sex, age group (10-14, 15-19, and 20-24 years), and sociodemographic index (SDI) with 95% uncertainty intervals (UIs). We report percentage changes in deaths and DALYs between 1990 and 2019. FINDINGS In 2019, 369 061 deaths (of which 214 337 [58%] were transport related) and 31·1 million DALYs (of which 16·2 million [52%] were transport related) among adolescents aged 10-24 years were caused by transport and unintentional injuries combined. If compared with other causes, transport and unintentional injuries combined accounted for 25% of deaths and 14% of DALYs in 2019, and showed little improvement from 1990 when such injuries accounted for 26% of adolescent deaths and 17% of adolescent DALYs. Throughout adolescence, transport and unintentional injury fatality rates increased by age group. The unintentional injury burden was higher among males than females for all injury types, except for injuries related to fire, heat, and hot substances, or to adverse effects of medical treatment. From 1990 to 2019, global mortality rates declined by 34·4% (from 17·5 to 11·5 per 100 000) for transport injuries, and by 47·7% (from 15·9 to 8·3 per 100 000) for unintentional injuries. However, in low-SDI nations the absolute number of deaths increased (by 80·5% to 42 774 for transport injuries and by 39·4% to 31 961 for unintentional injuries). In the high-SDI quintile in 2010-19, the rate per 100 000 of transport injury DALYs was reduced by 16·7%, from 838 in 2010 to 699 in 2019. This was a substantially slower pace of reduction compared with the 48·5% reduction between 1990 and 2010, from 1626 per 100 000 in 1990 to 838 per 100 000 in 2010. Between 2010 and 2019, the rate of unintentional injury DALYs per 100 000 also remained largely unchanged in high-SDI countries (555 in 2010 vs 554 in 2019; 0·2% reduction). The number and rate of adolescent deaths and DALYs owing to environmental heat and cold exposure increased for the high-SDI quintile during 2010-19. INTERPRETATION As other causes of mortality are addressed, inadequate progress in reducing transport and unintentional injury mortality as a proportion of adolescent deaths becomes apparent. The relative shift in the burden of injury from high-SDI countries to low and low-middle-SDI countries necessitates focused action, including global donor, government, and industry investment in injury prevention. The persisting burden of DALYs related to transport and unintentional injuries indicates a need to prioritise innovative measures for the primary prevention of adolescent injury. FUNDING Bill & Melinda Gates Foundation.
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Khan Z, Shehla S, Alouffi A, Kashif Obaid M, Zeb Khan A, Almutairi MM, Numan M, Aiman O, Alam S, Ullah S, Zaman Safi S, Tanaka T, Ali A. Molecular Survey and Genetic Characterization of Anaplasma marginale in Ticks Collected from Livestock Hosts in Pakistan. Animals (Basel) 2022; 12:1708. [PMID: 35804607 PMCID: PMC9264954 DOI: 10.3390/ani12131708] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 06/25/2022] [Accepted: 06/28/2022] [Indexed: 12/17/2022] [Imported: 10/07/2024] Open
Abstract
Ticks transmit pathogens to animals and humans more often than any other arthropod vector. The rural economy of Pakistan mainly depends on livestock farming, and tick infestations cause severe problems in this sector. The present study aimed to molecularly characterize the Anaplasma spp. in hard ticks collected from six districts of Khyber Pakhtunkhwa, Pakistan. Ticks were collected from various livestock hosts, including cattle breeds (Holstein-Friesian, Jersey, Sahiwal, and Achai), Asian water buffaloes, sheep, and goats from March 2018 to February 2019. Collected ticks were morphologically identified and subjected to molecular screening of Anaplasma spp. by amplifying 16S rDNA sequences. Six hundred seventy-six ticks were collected from infested hosts (224/350, 64%). Among the nine morphologically identified tick species, the highest occurrence was noted for Rhipicephalus microplus (254, 37.6%), followed by Hyalomma anatolicum (136, 20.1%), Rhipicephalus haemaphysaloides (119, 17.6%), Rhipicephalus turanicus (116, 17.1%), Haemaphysalis montgomeryi (14, 2.1%), Hyalomma dromedarii (11, 1.6%), Haemaphysalis bispinosa (10, 1.5%), Hyalomma scupense (8, 1.2%), and Haemaphysalis kashmirensis (8, 1.2%). The occurrence of tick females was highest (260, 38.5%), followed by nymphs (246, 36.4%) and males (170, 25.1%). Overall, the highest occurrence of ticks was recorded in the Peshawar district (239, 35.3%), followed by Mardan (183, 27.1%), Charsadda (110, 16.3%), Swat (52, 7.7%), Shangla (48, 7.1%), and Chitral (44, 6.5%). Among these ticks, Anaplasma marginale was detected in R. microplus, R. turanicus, and R. haemaphysaloides. The 16S rDNA sequences showed high identity (98-100%) with A. marginale reported from Australia, China, Japan, Pakistan, Thailand, Uganda, and the USA. In phylogenetic analysis, the sequence of A. marginale clustered with the same species reported from Australia, China, Pakistan, Thailand, Uruguay, and the USA. Further molecular work regarding the diversity of tick species and associated pathogens is essential across the country.
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Jaafar MH, Safi SZ, Tan MP, Rampal S, Mahadeva S. Efficacy of Rebamipide in Organic and Functional Dyspepsia: A Systematic Review and Meta-Analysis. Dig Dis Sci 2018; 63:1250-1260. [PMID: 29192375 DOI: 10.1007/s10620-017-4871-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 11/24/2017] [Indexed: 12/14/2022] [Imported: 10/07/2024]
Abstract
OBJECTIVE The role of gastritis in dyspepsia remains controversial. We aimed to examine the efficacy of rebamipide, a gastric mucosal protective agent, in both organic and functional dyspepsia. DESIGN A systematic review and meta-analysis was performed. The following databases were searched using the keywords ("rebamipide" OR "gastroprotective agent*" OR "mucosta") AND ("dyspepsia" OR "indigestion" OR "gastrointestinal symptoms"): PubMed, Wed of Science, Embase, CINAHL, Cochrane Clinical Trials Register. The primary outcome was dyspepsia or upper GI symptom score improvement. Pooled analysis of the main outcome data were presented as risk ratio (RR) for dichotomous data and standardized mean difference (SMD) for continuous data. RESULTS From an initial 248 records, 17 randomised controlled trial (RCT) publications involving 2170 subjects (1224 rebamipide, 946 placebo/control) were included in the final analysis. Twelve RCTs were conducted in subjects with organic dyspepsia (peptic ulcer disease, reflux esophagitis or NSAID-induced gastropathy) and five RCTs were conducted in patients with functional dyspepsia (FD). Overall, dyspepsia symptom improvement was significantly better with rebamipide compared to placebo/control drug (RR 0.77, 95% CI = 0.64-0.93; SMD -0.46, 95% CI = -0.83 to -0.09). Significant symptom improvement was observed both in pooled RR and SMD in subjects with organic dyspepsia (RR 0.72, 95% CI = 0.61-0.86; SMD -0.23, 95% CI = -0.4 to -0.07), while symptom improvement in FD was observed in pooled SMD but not RR (SMD -0.62, 95% CI = -1.16 to -0.08; RR 1.01, 95% CI = 0.71-1.45). CONCLUSION Rebamipide is effective in organic dyspepsia and may improve symptoms in functional dyspepsia.
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Safi SZ, Qvist R, Yan GOS, Ismail ISB. Differential expression and role of hyperglycemia induced oxidative stress in epigenetic regulation of β1, β2 and β3-adrenergic receptors in retinal endothelial cells. BMC Med Genomics 2014; 7:29. [PMID: 24885710 PMCID: PMC4050418 DOI: 10.1186/1755-8794-7-29] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2013] [Accepted: 05/20/2014] [Indexed: 01/16/2023] [Imported: 10/07/2024] Open
Abstract
BACKGROUND Aberrant epigenetic profiles are concomitant with a spectrum of developmental defects and diseases. Role of methylation is an increasingly accepted factor in the pathophysiology of diabetes and its associated complications. This study aims to examine the correlation between oxidative stress and methylation of β1, β2 and β3-adrenergic receptors and to analyze the differential variability in the expression of these genes under hyperglycemic conditions. METHODS Human retinal endothelial cells were cultured in CSC complete medium in normal (5 mM) or high (25 mM) glucose to mimic a diabetic condition. Reverse transcription PCR and Western Blotting were performed to examine the expression of β1, β2 and β3-adrenergic receptors. For detections, immunocytochemistry was used. Bisulfite sequencing method was used for promoter methylation analysis. Apoptosis was determined by the terminal deoxynucleotidyl transferase dUTP nick-end labeling (TUNEL) assay. Dichlorodihydrofluorescein diacetate (DCFH-DA) assay was used to measure reactive oxygen species (ROS) production in the cells. RESULTS β1 and β3-adrenergic receptors were expressed in retinal endothelial cells while β2-adrenergic receptor was not detectable both at protein and mRNA levels. Hyperglycemia had no significant effect on β1 and β2-adrenergic receptors methylation and expression however β3-adrenergic receptors showed a significantly higher expression (p < 0.05) and methylation (p < 0.01) in high and low glucose concentration respectively. Apoptosis and oxidative stress were inversely correlated with β3-adrenergic receptors methylation with no significant effect on β1 and β2-adrenergic receptors. β2-adrenergic receptor was hypermethylated with halted expression. CONCLUSION Our study demonstrates that β1 and β3-adrenergic receptors expressed in human retinal endothelial cells. Oxidative stress and apoptosis are inversely proportional to the extent of promoter methylation, suggesting that methylation loss might be due to oxidative stress-induced DNA damage.
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Khan H, Jan SA, Javed M, Shaheen R, Khan Z, Ahmad A, Safi SZ, Imran M. Nutritional Composition, Antioxidant and Antimicrobial Activities of Selected Wild Edible Plants. J Food Biochem 2016; 40:61-70. [DOI: 10.1111/jfbc.12189] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] [Imported: 10/07/2024]
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Batumalaie K, Zaman Safi S, Mohd Yusof K, Shah Ismail I, Devi Sekaran S, Qvist R. Effect of gelam honey on the oxidative stress-induced signaling pathways in pancreatic hamster cells. Int J Endocrinol 2013; 2013:367312. [PMID: 24324490 PMCID: PMC3845241 DOI: 10.1155/2013/367312] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2013] [Revised: 09/21/2013] [Accepted: 10/05/2013] [Indexed: 12/27/2022] [Imported: 10/07/2024] Open
Abstract
Background. Oxidative stress induced by reactive oxygen and nitrogen species is critically involved in the impairment of β -cell function during the development of diabetes. Methods. HIT-T15 cells were cultured in 5% CO2 and then preincubated with Gelam honey extracts (20, 40, 60, and 80 µg/mL) as well as quercetin (20, 40, 60, and 80 µM), prior to stimulation by 20 and 50 mM of glucose. Cell lysate was collected to determine the effect of honey extracts and quercetin on the stress activated NF- κ B, MAPK pathways, and the Akt (ser473) activated insulin signaling pathway. Results. HIT-T15 cells cultured under hyperglycemic conditions demonstrated insulin resistance with a significant increase in the levels of MAPK, NF- κ B, and IRS-1 serine phosphorylation (ser307); however, Akt expression and insulin contents are significantly decreased. Pretreatment with quercetin and Gelam honey extract improved insulin resistance and insulin content by reducing the expression of MAPK, NF- κ B, and IRS-1 serine phosphorylation (ser307) and increasing the expression of Akt significantly. Conclusion. Gelam honey-induced differential expression of MAPK, NF- κ B, IRS-1 (ser307), and Akt in HIT-T15 cells shows that Gelam honey exerts protective effects against diabetes- and hyperglycemia-induced oxidative stress by improving insulin content and insulin resistance.
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Safi SZ, Batumalaie K, Mansor M, Chinna K, Mohan S, Kumar S, Karimian H, Qvist R, Ashraf MA, Yan GOS. Glutamine treatment attenuates hyperglycemia-induced mitochondrial stress and apoptosis in umbilical vein endothelial cells. Clinics (Sao Paulo) 2015; 70:569-576. [PMID: 26247670 PMCID: PMC4518821 DOI: 10.6061/clinics/2015(08)07] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Revised: 06/09/2015] [Accepted: 06/09/2015] [Indexed: 12/14/2022] [Imported: 10/07/2024] Open
Abstract
OBJECTIVE The aim of this study was to determine the in vitro effect of glutamine and insulin on apoptosis, mitochondrial membrane potential, cell permeability, and inflammatory cytokines in hyperglycemic umbilical vein endothelial cells. MATERIALS AND METHODS Human umbilical vein endothelial cells were grown and subjected to glutamine and insulin to examine the effects of these agents on the hyperglycemic state. Mitochondrial function and the production of inflammatory cytokines were assessed using fluorescence analysis and multiple cytotoxicity assays. Apoptosis was analyzed by the terminal deoxynucleotidyl transferase dUTP nick end-labeling assay. RESULTS Glutamine maintains the integrity of the mitochondria by reducing the cell permeability and cytochrome c levels and increasing the mitochondrial membrane potential. The cytochrome c level was significantly (p<0.005) reduced when the cells were treated with glutamine. An apoptosis assay revealed significantly reduced apoptosis (p<0.005) in the glutamine-treated cells. Moreover, glutamine alone or in combination with insulin modulated inflammatory cytokine levels. Interleukin-10, interleukin-6, and vascular endothelial growth factor were up-regulated while tumor necrosis factor-α was down-regulated after treatment with glutamine. CONCLUSION Glutamine, either alone or in combination with insulin, can positively modulate the mitochondrial stress and cell permeability in umbilical vein endothelial cells. Glutamine regulates the expression of inflammatory cytokines and maintains the balance of the mitochondria in a cytoprotective manner.
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Karthic A, Roy A, Lakkakula J, Alghamdi S, Shakoori A, Babalghith AO, Emran TB, Sharma R, Lima CMG, Kim B, Park MN, Safi SZ, de Almeida RS, Coutinho HDM. Cyclodextrin nanoparticles for diagnosis and potential cancer therapy: A systematic review. Front Cell Dev Biol 2022; 10:984311. [PMID: 36158215 PMCID: PMC9494816 DOI: 10.3389/fcell.2022.984311] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 08/08/2022] [Indexed: 11/25/2022] [Imported: 10/07/2024] Open
Abstract
Cancer is still one of the world's deadliest health concerns. As per latest statistics, lung, breast, liver, prostate, and cervical cancers are reported topmost worldwide. Although chemotherapy is most widely used methodology to treat cancer, poor pharmacokinetic parameters of anticancer drugs render them less effective. Novel nano-drug delivery systems have the caliber to improve the solubility and biocompatibility of various such chemical compounds. In this regard, cyclodextrins (CD), a group of natural nano-oligosaccharide possessing unique physicochemical characteristics has been highly exploited for drug delivery and other pharmaceutical purposes. Their cup-like structure and amphiphilic nature allows better accumulation of drugs, improved solubility, and stability, whereas CDs supramolecular chemical compatibility renders it to be highly receptive to various kinds of functionalization. Therefore combining physical, chemical, and bio-engineering approaches at nanoscale to specifically target the tumor cells can help in maximizing the tumor damage without harming non-malignant cells. Numerous combinations of CD nanocomposites were developed over the years, which employed photodynamic, photothermal therapy, chemotherapy, and hyperthermia methods, particularly targeting cancer cells. In this review, we discuss the vivid roles of cyclodextrin nanocomposites developed for the treatment and theranostics of most important cancers to highlight its clinical significance and potential as a medical tool.
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Fuloria S, Sekar M, Khattulanuar FS, Gan SH, Rani NNIM, Ravi S, Subramaniyan V, Jeyabalan S, Begum MY, Chidambaram K, Sathasivam KV, Safi SZ, Wu YS, Nordin R, Maziz MNH, Kumarasamy V, Lum PT, Fuloria NK. Chemistry, Biosynthesis and Pharmacology of Viniferin: Potential Resveratrol-Derived Molecules for New Drug Discovery, Development and Therapy. Molecules 2022; 27:5072. [PMID: 36014304 PMCID: PMC9414909 DOI: 10.3390/molecules27165072] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 07/20/2022] [Accepted: 08/03/2022] [Indexed: 11/20/2022] [Imported: 10/07/2024] Open
Abstract
Viniferin is a resveratrol derivative. Resveratrol is the most prominent stilbenoid synthesized by plants as a defense mechanism in response to microbial attack, toxins, infections or UV radiation. Different forms of viniferin exist, including alpha-viniferin (α-viniferin), beta-viniferin (β-viniferin), delta-viniferin (δ-viniferin), epsilon-viniferin (ε-viniferin), gamma-viniferin (γ-viniferin), R-viniferin (vitisin A), and R2-viniferin (vitisin B). All of these forms exhibit a range of important biological activities and, therefore, have several possible applications in clinical research and future drug development. In this review, we present a comprehensive literature search on the chemistry and biosynthesis of and the diverse studies conducted on viniferin, especially with regards to its anti-inflammatory, antipsoriasis, antidiabetic, antiplasmodic, anticancer, anti-angiogenic, antioxidant, anti-melanogenic, neurodegenerative effects, antiviral, antimicrobial, antifungal, antidiarrhea, anti-obesity and anthelminthic activities. In addition to highlighting its important chemical and biological activities, coherent and environmentally acceptable methods for establishing vinferin on a large scale are highlighted to allow the development of further research that can help to exploit its properties and develop new phyto-pharmaceuticals. Overall, viniferin and its derivatives have the potential to be the most effective nutritional supplement and supplementary medication, especially as a therapeutic approach. More researchers will be aware of viniferin as a pharmaceutical drug as a consequence of this review, and they will be encouraged to investigate viniferin and its derivatives as pharmaceutical drugs to prevent future health catastrophes caused by a variety of serious illnesses.
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Malik MH, Shahzadi L, Batool R, Safi SZ, Khan AS, Khan AF, Chaudhry AA, Rehman IU, Yar M. Thyroxine-loaded chitosan/carboxymethyl cellulose/hydroxyapatite hydrogels enhance angiogenesis in in-ovo experiments. Int J Biol Macromol 2020; 145:1162-1170. [PMID: 31730970 DOI: 10.1016/j.ijbiomac.2019.10.043] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 09/25/2019] [Accepted: 10/03/2019] [Indexed: 12/11/2022] [Imported: 10/07/2024]
Abstract
Angiogenesis is one of the most important processes in repair and regeneration of many tissues and organs. Blood vessel formation also play a major role in repair of dental tissue(s) after ailments like periodontitis. Here we report the preparation of chitosan/carboxymethyl cellulose/hydroxyapatite based hydrogels, loaded with variable concentrations of thyroxin i.e., 0.1 μg/ml, 0.5 μg/ml and 1 μg/ml. Scanning electron microcopy images (SEM) showed all hydrogels were found to be porous and solution absorption study exhibited high swelling potential in aqueous media. FTIR spectra confirmed that the used materials did not change their chemical identity in synthesized hydrogels. The synthesized hydrogels demonstrated good bending, folding, rolling and stretching abilities. The hydrogels were tested in chick chorioallantoic membrane (CAM) assay to investigate their angiogenic potential. Hydrogel containing 0.1 μg/ml of thyroxine showed maximum neovascularization. For cytotoxicity analyses, preosteoblast cells (MC3T3-E1) were seeded on these hydrogels and materials were found to be non-toxic. These hydrogels with pro-angiogenic activity possess great potential to be used for periodontal regeneration.
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Alam S, Khan M, Alouffi A, Almutairi MM, Ullah S, Numan M, Islam N, Khan Z, Aiman O, Zaman Safi S, Tanaka T, Ali A. Spatio-Temporal Patterns of Ticks and Molecular Survey of Anaplasma marginale, with Notes on Their Phylogeny. Microorganisms 2022; 10:1663. [PMID: 36014081 PMCID: PMC9413622 DOI: 10.3390/microorganisms10081663] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/11/2022] [Accepted: 08/16/2022] [Indexed: 11/16/2022] [Imported: 10/07/2024] Open
Abstract
Hard ticks (Ixodida: Ixodidae) are medically important ectoparasites that feed on all classes of terrestrial vertebrates. Recently, we molecularly characterized hard ticks and associated Anaplasma spp. in the northern and central regions of Khyber Pakhtunkhwa (KP), Pakistan; however, this knowledge was missing in the southern regions. This study aimed to investigate tick prevalence, host range, genetic diversity, and molecular survey of Anaplasma spp. in a wide range of tick species in two distinct physiographic regions of southern KP. A total of 1873 hard ticks were randomly collected from 443/837 hosts (cattle, Asian water buffaloes, horses, goats, sheep, dogs, and camels) in Lakki Marwat, Bannu, and Orakzai districts of KP. Overall, 12 tick species were morphologically identified, among which Hyalomma dromedarii was the most prevalent species (390/1873, 20.9%), followed by Hy. anatolicum (294, 15.7%), Rhipicephalus microplus (262, 14%), Hy. scupense (207, 11.1%), R. sanguineus (136, 7.3%), R. turanicus (121, 6.5%), Haemaphysalis cornupunctata (107, 5.7%), R. haemaphysaloides (110, 5.9%), Ha. montgomeryi (87, 4.6%), Hy. isaaci (58, 3.1%), Ha. bispinosa (54, 2.9%), and Ha. sulcata (47, 2.5%). The extracted DNA from a subset of each tick species was subjected to PCR to amplify cox1 or 16S rRNA sequences of ticks and 16S rRNA sequences of Anaplasma spp. The tick cox1 sequences showed 99-100% identities with the sequences of the same species, whereas 16S rRNA sequences of R. turanicus, Ha. montgomeryi and Ha. sulcata showed 97-100% identities with the corresponding species. The 16S rRNA sequence of Ha. cornupunctata showed 92% identity with the species from the same subgenus, such as Ha. punctata. The 16S rRNA sequence of Anaplasma spp. showed 100% identity with Anaplasma marginale. Moreover, 54 ticks were found positive for A. marginale with a total infection rate of 17.2%. The highest infection rate was recorded in Hy. dromedarii (31.1%) and the lowest in each R. haemaphysaloides and R. sanguineus (20%). All the cox1 or 16S rRNA sequences in phylogenetic trees clustered with the same species, except Ha. cornupunctata, which clustered with the Ha. (Aboimisalis) punctata. In this study, Ha. cornupunctata was reported for the first time at the molecular level. The genetic characterization of ixodid ticks and molecular detection of associated A. marginale will assist in the epidemiological surveillance of these parasites in the region.
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