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CD8+ and CD4+ T-cells play a key role in cellular immune responses against cancer by cytotoxic responses and effector lineages differentiation, respectively. These subsets have been found in different types of cancer; however, it is unclear whether tumor-infiltrating T-cell subsets exhibit similar transcriptome profiling across different types of cancer in comparison with healthy tissue-resident T-cells. Thus, we analyzed the single cell transcriptome of five tumor-infiltrating CD4-T, CD8-T and Treg cells obtained from different types of cancer to identify specific pathways for each subset in malignant environments. An in silico analysis was performed from single-cell RNA-sequencing data available in public repositories (Gene Expression Omnibus) including breast cancer, melanoma, colorectal cancer, lung cancer and head and neck cancer. After dimensionality reduction, clustering and selection of the different subpopulations from malignant and nonmalignant datasets, common genes across different types of cancer were identified and compared to nonmalignant genes for each T-cell subset to identify specific pathways. Exclusive pathways in CD4+ cells, CD8+ cells and Tregs, and common pathways for the tumor-infiltrating T-cell subsets were identified. Finally, the identified pathways were compared with RNAseq and proteomic data obtained from T-cell subsets cultured under malignant environments and we observed that cytokine signaling, especially Th2-type cytokine, was the top overrepresented pathway in Tregs from malignant samples.

Why was the cohort set up? Latin America and the Caribbean (LAC) are characterized by much diversity in terms of socio-economic status, ecology, environment, access to health care,1,2 as well as the frequency of risk factors for and prevalence or incidence of non-communicable diseases;3–7 importantly, these differences are observed both between and within countries in LAC.8,9 LAC countries share a large burden of non-communicable (e.g. diabetes and hypertension) and cardiovascular (e.g. ischaemic heart disease) diseases, with these conditions standing as the leading causes of morbidity, disability and mortality in most of LAC.10–12 These epidemiological estimates—e.g. morbidity—cannot inform about risk factors or risk prediction, which are relevant to identify prevention avenues. Cohort studies, on the other hand, could provide this evidence. Pooled analysis, using data from multiple cohort studies, have additional strengths such as increased statistical power and decreased statistical uncertainty.13 LAC cohort studies have been under-represented,14 or not included at all,15–17 in international efforts aimed at pooling data from multiple cohort studies. We therefore set out to pool data from LAC cohorts to address research questions that individual cohort studies would not be able to answer. Drawing from previous successful regional enterprises (e.g. Asia Pacific Cohort Studies Collaboration),18,19 we established the Cohorts Consortium of Latin America and the Caribbean (CC-LAC). The main aim of the CC-LAC is to start a collaborative cohort data pooling in LAC to examine the association between cardio-metabolic risk factors (e.g. blood pressure, glucose and lipids) and non-fatal and fatal cardiovascular outcomes (e.g. stroke or myocardial infarction). In so doing, we aim to provide regional risk estimates to inform disease burden metrics, as well as other ambitious projects including a cardiovascular risk score to strengthen cardiovascular prevention in LAC. Initial funding has been provided by a fellowship from the Wellcome Trust Centre for Global Health Research at Imperial College London (Strategic Award, Wellcome Trust–Imperial College Centre for Global Health Research, 100693/Z/12/Z). Additional funding is being provided by an International Training Fellowship from the Wellcome Trust (214185/Z/18/Z). At the time of writing, the daily operations and pooled database are hosted at Imperial College London, though a mid-term goal is to transfer this expertise and operations to LAC. The collaboration relies fundamentally on a strong regional network of health researchers and practitioners

Background: Inadequate blood pressure control in hypertensive patients remains a persistent health problem in Chile and worldwide. Poor adherence to antihypertensive drug therapy is one of the frequently cited factors. Objectives: To determine the influence of psychosocial factors in the adherence to drug therapy in hypertensive patients followed through a Cardiovascular Health Program (CHP) that provides free access to primary care centers located in the Metropolitan Region of Santiago, Chile. Methods: Cross sectional study. A randomized sample of 513 hypertensive patients (30 to 68 years) was obtained from a universe of 1.484 patients. Adherence to treatment was determined by the Morisky-Green-Levine test. Demographic, socioeconomic and average values of blood pressure were recorded. Validated questionnaires were utilized to assess the patient-physician relationship, awareness of being hypertensive, patient perception of social support, family cohesion, patient self-health assessment and symptoms of emotional stress and depression. Results: The drug therapy adherence was 36.6%, higher in women (38.4% vs 28.9%; p < 0.001). After multivariate analysis, absence of adherence was associated with male gender (OR: 1.76 [95% CI 1.21-2.56]), low education (OR: 1.72 [95% CI 1.18 to 2.53]), inadequate patient-physician relationship (OR: 1.56 [95% CI 1.13 to 2.27]), and high level of emotional stress and depression (OR: 1.93 [95% CI 1.27 to 2.94]). Conclusions: Our study highlights the influence of inadequate patient-physician relation, high level of emotional stress and depression, low education level and income and male gender in the lack of adherence to antihypertensive drug therapy in hypertensive patients followed throughout the CHP.

As part of the Millennium Development Goals proposed by the United Nations, research on maternal mortality estimates and the determinants that positively influence maternal health outcomes is key for adequate evidence-based public health interventions. In the case of maternal death statistics, accuracy of estimating methods strongly depends on the quality of official records and, when unavailable, on the variables used in the predictive model, e.g. total fertility rate (TFR), percentage of childbirth delivery by skilled attendants, women’s education level, and per capita income, among others. Thus, a thorough evaluation of the reliability of estimated maternal mortality statistics is warranted before drawing any causal inference. In this regard, a recent report by Ahmed et al. provided the largest global estimate of the possible effect of contraceptive use on maternal mortality reduction and concluded that the ‘use of contraception is a substantial and effective primary

To test the hypothesis that an inverse association exists between socio-economic position and all-cause mortality in a developing country in Latin America.Prospective cohort study carried out in Chile using data from a simple random sample of 920 apparently healthy subjects (weighted population 11,600 aged 30-89 years) followed for 8 years.Education level (0-8 years, 9-12 years andor = 13 years) and income quartiles were established at the outset of the study, along with behavioural and biological risk factors for chronic diseases: smoking, alcohol use, obesity, diabetes, hypertension, lipids and family history of death by cardiovascular disease. Relative risks of all-cause mortality were estimated using age-adjusted Cox regression models.During the follow-up period, 46 deaths were observed. Adjusting for age, gender, and behavioural and biological risk factors, the mortality risk for increasing categories of education after controlling for income was 1.0, 0.76 and 0.33 (P for trend0.01). In contrast, the relative risk for increasing levels of income after controlling for education was 1.0, 0.98, 1.33 and 1.17 (P for trend=0.07).While education level had a protective effect on mortality risk of Chilean adults, income had a slightly unfavourable effect on survival. This finding is described as suggestive of a 'pauper-rich paradox', since the higher income quantiles in this study correspond with the lower income levels in most developed countries. Nevertheless, due to the small number of deaths, additional research is required to assess the validity of these findings.

Background: The socioeconomic position (SEP) and educational level of individuals have an inverse correlation with mortality in developed societies. Aim To assess in a society undergoing a socioeconomic transition, the mortality risk associated to a low SEP (combination of education and income, scale 0-25 points, reference > 10 points) and low education (education years, reference > 8 years), adjusting for other known risk factors. Material and methods: In this prospective cohort study, a random sample of 920 subjects, living in San Francisco de Mostazal, Chile, aged more than 20years (395 males) was examined for the first time in 1997-1999 and re-examined in 2005-2006. All had information about economic household income and level of education. A Cox regression model was used to evaluate the association between mortality and socioeconomic measures. Results: The crude mortality hazard ratio (HR) was 3.34 (95% confidence interval (CI) 2.88-3.87) and 6.05 (95% CI 5.04-7.26) for low SEP and low educational level, respectively. After adjusting for age, gender, hypertension, diabetes, dyslipidemia, abdominal obesity, smoking, alcohol intake and family history of cardiovascular disease, the figures were 1.23 (95% CI 1.04-1.43) and 1.54 (95% CI 1.23-1.85) for low SEP and low educational level, respectively. Conclusions: In a society in socioeconomic transition, low SEP and especially low educational level are risk factors for mortality even after adjusting for known mortality risk factors

Este estudio evaluó el efecto del tabaquismo materno durante el embarazo sobre la salud respiratoria de sus lactantes durante el primer año de vida, en 184 binomios madre-hijo. El análisis se realizó mediante chi cuadrado para proporciones y regresión logística multivariada ajustando para covariables. Los hijos de madres que fumaron durante el embarazo tuvieron un riesgo significativamente mayor de sufrir de bronquitis obstructiva (p < 0,01), de enfermedades respiratorias agudas en general (p < 0,01) y de hospitalización por neumonía (p < 0,05), en comparación con los hijos de madres que no fumaron durante el embarazo. Concordantemente con lo descrito en países desarrollados, en esta muestra proveniente de una población de bajos recursos socioeconómicos, el tabaquismo materno durante el embarazo aumentó significativamente la susceptibilidad de los lactantes para sufrir de bronquitis obstructivas, enfermedades respiratorias agudas y de hospitalizaciones por neumonía en su primer año de vida

Popperian epidemiology is a biomedical science tool based on the hypothesis-deductive method and the falsifiability of scientific hypotheses. This article explores the applicability of the refutationist logic tools in the analysis of a randomised controlled trial (RCT), the randomised Aldactone evaluation study (RALES). This was carried out by using bi-conditional modus-tollens arguments of the type (i) P-then-Q(n) and (ii) Q(n)-If-X(P), X(P) being a set of potential falsifiers of Q(n) as part of the explicit falsity-content of P. In this model, P is the main hypothesis and Q(n) one or more logical predictions to be tested. The X(P) argument represents inclusion criteria, exclusion criteria and conditional criteria of the RCT so every P-then-X(P) argument should be fulfilled in canonical form to corroborate P-then-Q(n). Thus, falsifiability of a RCT would be determined by the empirical content of the conditional argument Q(n)-If-X(P) and its external validity would be determined by the empirical content of X(P). In this way it would be possible to mathematically assess the external validity of a RCT if the observational predicates of the X(P) argument in a given population are known. According to this popperian model, applicability of the RCT results to clinical practice implies transferring of all its empirical content, in other words, the totality of its truth and falsity contents. Thus, to ignore the explicit falsity-content of a RCT such as RALES may jeopardise its potential benefits in clinical practice as suggested by recent studies.

Background: The San Francisco Project is a prospective study aiming to determine the most important cardiovascular risk factors in the Chilean population. Aim: To report the results of the San Francisco Project after a mean follow up of five years. Material and methods: Between 1997 and 1999, 920 subjects (aged 39.5 ± 16.3 years, 382 males), free of cardiovascular events, were examined to determine their cardiovascular risk factors. The prevalence of risk factors was compared with the Chilean National Health Survey. All non fatal cardiovascular events were registered until 2003. A logistic regression model including gender, obesity, family history, educational level and classical cardiovascular risk factors, was performed to identify independent predictors of cardiovascular events. Results: The prevalence of cardiovascular risk factors in the studied population was similar to that of the Chilean National Health Survey, except for serum lipid levels, that were lower in the latter. The mean follow up was 5.3 ± 0.3 years (range 4-6 years), and 26 cardiovascular events were registered. The independent predictors of these events were age, with a relative risk (RR) of 4.3 and 95% confidence intervals (CI) of 1.9 to 9.5 (p