A Brazilian regional basic diet-induced chronic malnutrition drives liver inflammation with higher ApoA-I activity in C57BL6J mice

Malnutrition is still considered endemic in many developing countries. Malnutrition-enteric infections may cause lasting deleterious effects on lipid metabolism, especially in children living in poor settings. The regional basic diet (RBD), produced to mimic the Brazilian northeastern dietary characteristics (rich in carbohydrate and low in protein) has been used in experimental malnutrition models, but few studies have explored the effect of chronic RBD on liver function, a central organ involved in cholesterol metabolism. This study aimed to investigate whether RBD leads to liver inflammatory changes and altered reverse cholesterol metabolism in C57BL6/J mice compared to the control group, receiving a standard chow diet. To evaluate liver inflammation, ionized calcium-binding adapter protein-1 (IBA-1) positive cell counting, interleukin (IL)-1b immunohistochemistry, and tumor necrosis factor (TNF)-a and IL-10 transcription levels were analyzed. In addition, we assessed reverse cholesterol transport by measuring liver apolipoprotein (Apo)E, ApoA-I, and lecithin-cholesterol acyltransferase (LCAT) by RT-PCR. Furthermore, serum alanine aminotransferase (ALT) was measured to assess liver function. RBD markedly impaired body weight gain compared with the control group (Po0.05). Higher hepatic TNF-a (Po0.001) and IL-10 (Po0.01) mRNA levels were found in RBD-challenged mice, although without detectable non-alcoholic fatty liver disease. Marked IBA-1 immunolabeling and increased number of positive-IBA-1 cells (presumably Kupffer cells) were found in the undernourished group. No statistical difference in serum ALT was found. There was also a significant increase in ApoA-I mRNA expression in the undernourished group, but not ApoE and LCAT, compared with the control. Altogether our findings suggested that chronic RBD-induced malnutrition leads to liver inflammation with increased ApoA-I activity

A new framework for sign language alphabet hand posture recognition using geometrical features through artificial neural network (part 1)

Hand pose tracking is essential in sign languages. An automatic recognition of performed hand signs facilitates a number of applications, especially for people with speech impairment to communication with normal people. This framework which is called ASLNN proposes a new hand posture recognition technique for the American sign language alphabet based on the neural network which works on the geometrical feature extraction of hands. A user’s hand is captured by a three-dimensional depth-based sensor camera; consequently, the hand is segmented according to the depth analysis features. The proposed system is called depth-based geometrical sign language recognition as named DGSLR. The DGSLR adopted in easier hand segmentation approach, which is further used in segmentation applications. The proposed geometrical feature extraction framework improves the accuracy of recognition due to unchangeable features against hand orientation compared to discrete cosine transform and moment invariant. The findings of the iterations demonstrate the combination of the extracted features resulted to improved accuracy rates. Then, an artificial neural network is used to drive desired outcomes. ASLNN is proficient to hand posture recognition and provides accuracy up to 96.78% which will be discussed on the additional paper of this authors in this journal

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

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

Acurácia do relacionamento probabilístico na avaliação da alta complexidade em cardiologia

OBJETIVO: Evaluar la viabilidad de estrategia de relación probabilística en la identificación de pacientes sometidos a procedimientos de alta complejidad en cardiología. MÉTODOS: El costo de procesamiento fue calculado con base en 1.672 registros de pacientes sometidos a cirugía de revascularización del miocardio, relacionados con todos los registros de óbito en Brasil en 2005. La precisión de la relación se basó en linkage probabilística de 99 registros de autorización de internación hospitalaria de pacientes sometidos a cirugías cardíacas en instituto de referencia en cardiología, con status vital conocido, con todos los registros de óbito del estado de Rio de Janeiro en 2005. El linkage fue realizado en cuatro etapas: estandarización de las bases, blocaje, pareamiento y clasificación de los pares. Se utilizó blocaje en cinco pasos, con claves de blocaje con combinación de variables como soundex del primero y último nombre, sexo y año de nacimiento. Las variables utilizadas en el pareamiento fueron "nombre completo", con la utilización de la distancia de Levenshtein y "fecha de nacimiento". RESULTADOS: El segundo y el quinto pasos de blocaje tuvieron los mayores números de pares formados y los mayores tiempos de procesamiento para el pareamiento. El cuarto paso demandó menor costo de procesamiento. En el estudio de precisión, posterior a cinco pasos de blocaje, la sensibilidad del linkage fue de 90,6% y la especificidad fue de 100%. CONCLUSIONES: La estrategia de relación probabilística utilizada presenta buena precisión y podrá ser utilizada en estudios sobre la efectividad de los procedimientos de alta complejidad y alto costo en cardiología.OBJECTIVE: To evaluate the viability of a probabilistic record linkage strategy to identify patients who underwent complex cardiology procedures among the total deceased population. METHODS: The processing cost was estimated based on 1,672 records of patients undergoing coronary artery bypass grafting that were compared with all death records in Brazil in 2005. The accuracy of the linkage strategy was based on the probabilistic linkage of 99 hospital admissions records of patients, with known vital status, who underwent cardiac surgery at a single cardiology institute, with the death records of the state of Rio de Janeiro, Southeastern Brazil, in 2005. Linkage was conducted in four stages: standardizing the databases, blocking, matching, and rating peers. Blocking in five steps was used, with blocking keys formed by a combination of variables such as soundex codes for the first and last names, sex, and year of birth. The variables used for matching were "full name" with the use of Levenshtein distance and "birth date". RESULTS: The second and fifth blocking steps resulted in the largest number of formed pairs and the largest processing times for the matching. The fourth step required a lower processing cost. In the accuracy study, after five blocking steps, the sensitivity of the linkage was 90.6%, and the specificity was 100%. CONCLUSIONS: The probabilistic strategy used has high accuracy and can be used in studies of the effectiveness of high-complexity, high-cost cardiology procedures.OBJETIVO: Avaliar a viabilidade de estratégia de relacionamento probabilístico de bases de dados na identificação de óbitos de pacientes submetidos a procedimentos de alta complexidade em cardiologia. MÉTODOS: O custo de processamento foi estimado com base em 1.672 registros de pacientes submetidos à cirurgia de revascularização do miocárdio, relacionados com todos os registros de óbito no Brasil em 2005. A acurácia do relacionamento baseou-se em linkage probabilístico entre 99 registros de autorização de internação hospitalar de pacientes submetidos a cirurgias cardíacas em instituto de referência em cardiologia, com status vital conhecido, e todos os registros de óbito do estado do Rio de Janeiro em 2005. O linkage foi realizado em quatro etapas: padronização das bases, blocagem, pareamento e classificação dos pares. Utilizou-se a blocagem em cinco passos, com chaves de blocagem com combinação de variáveis como soundex do primeiro e último nome, sexo e ano de nascimento. As variáveis utilizadas no pareamento foram "nome completo", com a utilização da distância de Levenshtein, e "data de nascimento". RESULTADOS: O segundo e o quinto passos de blocagem tiveram os maiores números de pares formados e os maiores tempos de processamento para o pareamento. O quarto passo demandou menor custo de processamento. No estudo de acurácia, após os cinco passos de blocagem, a sensibilidade do linkage foi de 90,6% e a especificidade foi de 100%. CONCLUSÕES: A estratégia de relacionamento probabilístico utilizada apresenta boa acurácia e poderá ser utilizada em estudos sobre a efetividade dos procedimentos de alta complexidade e alto custo em cardiologia