Susceptibility to endometrial cancer: influence of allelism at p53, glutathione S-transferase (GSTM1 and GSTT1) and cytochrome P-450 (CYP1A1) loci.

A case-control study was designed to identify associations between polymorphisms at p53, cytochrome P-450 (CYP1A1) and glutathione-S-transferases and endometrial cancer susceptibility. Among all polymorphisms analysed, an insertional variant in p53 (P53PIN3) and two polymorphisms in the 3''-end and exon 7 of CYP1A1 showed significant association with enhanced endometrial cancer risk.     

¿Cómo medir el estatus migratorio de la población infantil y juvenil? Estudios sobre salud y desigualdades en salud en Europa

ObjectiveTo analyse how the migration status of the child and young population is measured in the scientific literature on health and social inequalities in health in Europe.MethodA systematic search of the literature published in Spanish, English and French between 2007 and 2017 in PubMed and Social Sciences Citation Index was carried out. The included studies analysed health and social inequalities in health of a population under 18 years old according to its migration origin in Europe. The variables used to measure the migration status were described.Results50 articles were included. Twenty studies analysed perinatal health, eleven mental health, nine dental health, and ten studies other variables. The main variables to define migration status were the country of birth (32 studies), either of the child, the mother, or one of the parents, and sometimes in a complementary way. Less frequent was the use of nationality (15 studies), of the child, or of the parents, especially the mother. Migration status is referred to in very different ways, not always comparable and sometimes the variable used is not clearly explained.ConclusionsThere is a great diversity of ways to measure migration status in the child and young population. A better definition and consensus is needed to improve the temporal and geographical comparability of knowledge in this area, which will help to design public policies aimed at reducing social inequalities in health from childhood.     

Titration of Mechanical Insufflation–Exsufflation Optimal Pressure Combinations in Neuromuscular Diseases by Flow/Pressure Waveform Analysis

IntroductionThe aim of this study was to assess several air-pressure settings for MI–E to determine their effect on peak cough flow (PCF), and to compare the best pressures with those are more common used in the literature (±40 cmH₂O) in patients with neuromuscular disorders (NMD).MethodsAdults with NMD in whom MI–E was indicated were recruited. Assisted PCF was measured by an external pneumotachograph. The protocol included 9 PCF measures per patient: 1 baseline (non-assisted), 4 with increasing inspiratory pressures without negative pressure (10, 20, 30 and 40 cmH₂O or maximum tolerated), and then 4 adding expiratory pressures (?10, ?20, ?30 and ?40 cmH₂O or maximum tolerated) with maximum inspiratory pressure previously achieved.ResultsTwenty one patients were included, 61% with amyotrophic lateral sclerosis (ALS). Mean PCFs with recommended pressures (±40 cmH₂O) were lower than the scored in the individualized steps of the titration protocol (197.7 ± 67 l/min vs 214.2 ± 60 l/min, p < 0.05). Regarding subgroups, mean PCF_max values in ALS patients with bulbar symptoms were significantly higher than those achieved with recommended pressures (163.6 ± 80 vs 189 ± 66 l/min, p < 0.05).ConclusionThe PCF_max obtained with the protocol did not always match the recommended settings. It may be advisable to perform MI–E titration assessed by non-invasive PCF monitoring in patients with NMD, especially in ALS with bulbar involvement to improve the therapy detecting airway collapse induced by high pressures.     

Breast Density Analysis Using an Automatic Density Segmentation Algorithm

Breast density is a strong risk factor for breast cancer. In this paper, we present an automated approach for breast density segmentation in mammographic images based on a supervised pixel-based classification and using textural and morphological features. The objective of the paper is not only to show the feasibility of an automatic algorithm for breast density segmentation but also to prove its potential application to the study of breast density evolution in longitudinal studies. The database used here contains three complete screening examinations, acquired 2 years apart, of 130 different patients. The approach was validated by comparing manual expert annotations with automatically obtained estimations. Transversal analysis of the breast density analysis of craniocaudal (CC) and mediolateral oblique (MLO) views of both breasts acquired in the same study showed a correlation coefficient of ρ = 0.96 between the mammographic density percentage for left and right breasts, whereas a comparison of both mammographic views showed a correlation of ρ = 0.95. A longitudinal study of breast density confirmed the trend that dense tissue percentage decreases over time, although we noticed that the decrease in the ratio depends on the initial amount of breast density.     

Lack of evidence for protease evolution in HIV-1-infected patients after 2 years of successful highly active antiretroviral therapy

The mechanisms involved in maintaining a latent replication-competent integrated human immunodeficiency virus type 1 (HIV-1) reservoir after successful highly active antiretroviral therapy (HAART) have not been fully described. The objective of this study was to assess whether low-level, persistent HIV-1 replication can be detected in the protease gene, in 10 HIV-1-infected patients who have undergone 2 years of successful HAART. Peripheral blood mononuclear cells (PBMCs) were collected from 10 HIV-1-infected patients receiving a triple-drug combination therapy (2 nucleoside analogues and 1 protease inhibitor). HIV-1 RNA levels and CD4+ and CD8+ T cell counts were longitudinally determined during a follow-up period of 108 weeks. Similarly, proviral fragments of the protease-coding region, obtained at baseline and at week 108 of HAART, were amplified by polymerase chain reaction from PBMCs, and 10-25 individual clones were sequenced for each time point. Only 1 of 271 individual protease clones showed a major resistance substitution (M46I [patient D]). Phylogenetic analysis revealed that, in all patients, the genetic distances from the deduced most recent common ancestor, in samples obtained at week 108 of HAART, were not longer than those in samples obtained at baseline. Moreover, the pattern of amino acid divergence during therapy showed an absence of positive selection in the protease-coding region. Taken together, these results show a lack of clinically relevant evolution in the protease-coding region after 2 years of successful HAART.