Revisiting the metallothionein genes polymorphisms and the risk of oral squamous cell carcinoma in a Brazilian population

Metallothioneins (MTs) gene polymorphisms have been associated with the ability of free radical scavenging and detoxification of heavy metals leading to cancer development. Our aim was to revisit, in a Brazilian population, single-nucleotide polymorphisms (SNPs) of the MT gene family previously associated with oral squamous cell carcinoma (OSCC). A case-control investigation with 28 OSCC patients and 45 controls was conducted, using conventional risk factors (tobacco use and alcohol consumption) as covariates. SNPs genotyping for rs8052334 (MT1B), rs964372 (MT1B), and rs1610216 (MT2A) was performed by PCR-RFLP, and SNPs for rs11076161 (MT1A) were analyzed by TaqMan assay. The only SNP associated with increased risk for OSCC was the MT-1A AA genotype (OR = 4.7; p = 0.01). We have also evidenced for the first time a significant linkage disequilibrium between the SNPs of MT-2A and MT-1A in this population with the highest frequency (30%) of the unfavorable haplotype G/A/C/T (rs1610216 / rs11076161 / rs964372 / rs8052334) of MT gene polymorphisms (OR = 6.2; p = 0.04). Interestingly, after removing the effects of conventional risk factors, we have uncovered the significance of the AA genotype of the rs11076161 with increased odds of 19-fold higher towards OSCC development. This is the first demonstration that a significant linkage disequilibrium among gene polymorphisms of the MT family may affect susceptibility to oral cancer, which is conditioned by the G/A/C/T haplotype (rs1610216/rs11076161/rs964372/ rs8052334) and the MT-1A gene polymorphism has a potential clinical utility for the OSCC risk assessment

II Diretriz Brasileira de Transplante Cardíaco

Universidade de São Paulo Faculdade de Medicina Hospital das ClínicasIIHospital de Messejana Dr. Carlos Alberto Studart GomesUniversidade Federal de São Paulo (UNIFESP) Escola Paulista de MedicinaInstituto Dante Pazzanese de CardiologiaUniversidade Federal de Minas Gerais Hospital das ClínicasFaculdade de Medicina de São José do Rio PretoPontifícia Universidade Católica do ParanáIHospital Israelita Albert EinsteinInstituto Nacional de Cardiologia, Fundação Universitária do Rio Grande do Sul Instituto de CardiologiaReal e Benemérita Sociedade de Beneficência Portuguesa, São PauloHospital Pró-Cardíaco do Rio de JaneiroSanta Casa do Rio de JaneiroUNIFESP, EPMSciEL

Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017

Background: Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings: Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation: This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing

DETERMINAÇÃO DE POLIMORFISMOS NO GENE DO HORMÔNIO DO CRESCIMENTO EM TRÊS POPULAÇÕES DE SUÍNOS DETERMINATION OF POLYMORPHISMS IN THE GROWTH OF THE HORMONE GENE IN THREE POPULATIONS OF PIGS

Dois polimorfismos (GHC e GHD) no gene que codifica para o hormônio do crescimento foram determinados em um total de 96 animais de três raças de suínos (Pietrain, Large White e Landrace), através da PCR-RFLP. As freqüências alélicas observadas para GHC foram C1 0,42, C2 0,0, C3 0,06 e C4 0,52 para Landrace; C1 0,0, C2 0,03, C3 0,14 e C4 0,83 para Large White e C1 0,02, C2 0,25, C3 0,28 e C4 0,45 para Pietrain. Para GHD, as freqüências alélicas observadas foram D1 0,69 e D2 0,31 para Landrace; D1 0,25 e D2 0,75 para Large White e D1 0,72 e D2 0,28 para Pietrain.Two polymorphisms (GHC and GHD) in the growth hormone gene were evaluated in the ninety-six (96) animals of three breeds of pigs (Pietrain, Large White, and Landrace), through PCR-RFLP. Allele frequencies observed for the GHC polymorphism were: C1 0.42, C2 0.0, C3 0.06 and C4 0.52 for Landrace; C1 0.0, C2 0.03, C3 0.14 and C4 0.83 for Large White and C1 0.02, C2 0.25, C3 0.28 and C4 0.45 for Pietrain. The GHD polymorphism presented the following allele frequencies:. D1 0.69 and D2 0.31 for Landrace; D1 0.25 and D2 0.75 for Large White and D1 0.72 and D2 0.28 for Pietrain