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We wish to scope the available research, and synthesise findings on young adult university students’ menstrual health and hygiene experiences in Latin America and the Carribean.

Protocol for a systematic scoping and mapping review that aims to provide an overview of what is known from equity-focused umbrella reviews and systematic reviews about which public health interventions, programmes and policies show evidence of reducing socioeconomic inequalities in health.

Multiple Sclerosis (MS) is T-cell mediated autoimmune disease characterized by inflammation, demyelination, and degeneration of axons in the brain and spinal cord. A T cell-mediated immune response in MS is directed against myelin components and possibly other antigens in genetically susceptible individuals and is triggered by a viral infection. The T-cell antigen receptor (TCR) on T cells is responsible for antigen recognition and determines specificity. Our overall hypothesis is to determine whether clonally expanded T cells in patients with MS recognize viral or self-antigens and to determine whether molecular mimicry is involved in the development of the disease. To study TCR in MS we have developed/optimized a single-cell PCR/single-cell sequencing approach of both alpha- and beta-chain TCR, designated as Variable Region Multiplex Reverse Transcription PCR (VRM RT-PCR). We applied VRM RT-PCR for the single-cell PCR/sequencing of peripheral blood mononuclear cell (PBMC) populations and primarily memory T cells (CD3+CD8+CD45RO+, CD3+CD4+CD45RO+, and CD3+CD20+) from normal donors and patients with MS with the objective to identify clonally expanded T-cell populations. Unique TCR transcripts, when compared to each other, were observed in PBMC from normal donors in over 80% of the experiments carried out, typical of polyclonal populations of T cells. In contrast, clonally expanded T cells were identified in these T-cell populations from PBMC from patients with MS. In other studies, we used bioinformatics approaches to determine whether there are substantial CDR3 homologies between 254 alpha- and beta-chain TCR transcripts from brain autopsy specimens or cerebrospinal fluid (CSF), previously obtained in our laboratory from six patients with MS, to alpha- and beta-chain TCR transcripts already reported in the GenBank/EMBL database. We identified extensive CDR3 region homologies between TCR expressed in brain autopsies or CSF of these six MS patients and those TCR expressed in T cells from MS patients or normal donors stimulated with myelin antigens, as well as those from patients with autoimmune diseases, Sjogren’s Syndrome, cancer, and viral infections reported in the GenBank/EMBL. Additional studies revealed sequence homologies between myelin oligodendrocyte glycoprotein and viral peptides from several viruses, suggesting a mechanism of molecular mimicry that may be involved in MS.

Accurate understanding of users in terms of predicative segments play an essential role in the day to day operation of modern internet enterprises. Nevertheless, there are significant challenges that limit the quality of data, especially on long tail predictive tasks. In this work, we present MetaCon, our unified predicative segments system with scalable, trillion concepts meta learning that addresses these challenges. It builds on top of a flat concept representation that summarizes entities' heterogeneous digital footprint, jointly considers the entire spectrum of predicative tasks as a single learning task, and leverages principled meta learning approach with efficient first order meta-optimization procedure under a provable performance guarantee in order to solve the learning task. Experiments on both proprietary production datasets and public structured learning tasks demonstrate that MetaCon can lead to substantial improvements over state of the art recommendation and ranking approaches.

ObjectiveMore than 90% of people who attempt suicide have a psychiatric diagnosis; however, twin and family studies suggest that the genetic etiology of suicide attempt is partially distinct from that of the psychiatric disorders themselves. The authors present the largest genome-wide association study (GWAS) on suicide attempt, using cohorts of individuals with major depressive disorder, bipolar disorder, and schizophrenia from the Psychiatric Genomics Consortium.MethodsThe samples comprised 1,622 suicide attempters and 8,786 nonattempters with major depressive disorder; 3,264 attempters and 5,500 nonattempters with bipolar disorder; and 1,683 attempters and 2,946 nonattempters with schizophrenia. A GWAS on suicide attempt was performed by comparing attempters to nonattempters with each disorder, followed by a meta-analysis across disorders. Polygenic risk scoring was used to investigate the genetic relationship between suicide attempt and the psychiatric disorders.ResultsThree genome-wide significant loci for suicide attempt were found: one associated with suicide attempt in major depressive disorder, one associated with suicide attempt in bipolar disorder, and one in the meta-analysis of suicide attempt in mood disorders. These associations were not replicated in independent mood disorder cohorts from the UK Biobank and iPSYCH. No significant associations were found in the meta-analysis of all three disorders. Polygenic risk scores for major depression were significantly associated with suicide attempt in major depressive disorder (R2=0.25%), bipolar disorder (R2=0.24%), and schizophrenia (R2=0.40%).ConclusionsThis study provides new information on genetic associations and demonstrates that genetic liability for major depression increases risk for suicide attempt across psychiatric disorders. Further collaborative efforts to increase sample size may help to robustly identify genetic associations and provide biological insights into the etiology of suicide attempt.

BACKGROUND: Upper gastrointestinal bleeding is typically a mild, self‐limiting condition that can affect both preterm and term neonates, although it can be severe particularly when associated with co‐morbidities. Pharmacological interventions with a proton pump inhibitor (PPI), H2 receptor antagonist (H2RA), antacid, bismuth and sucralfate may have effects on both the prevention and treatment of upper gastrointestinal bleeding in infants. OBJECTIVES: To assess how different pharmacological interventions (PPIs, H2RAs, antacids, sucralfate or bismuth salts) administered to preterm and term neonates for the prevention or treatment of upper gastrointestinal bleeding to reduce morbidity and mortality compare with placebo or no treatment, supportive care, or each other. SEARCH METHODS: We used the standard search strategy of Cochrane Neonatal to search the Cochrane Central Register of Controlled Trials (CENTRAL 2018, Issue 6), MEDLINE via PubMed (1966 to 12 July 2018), Embase (1980 to 12 July 2018), and CINAHL (1982 to 12 July 2018). We also searched clinical trial databases, conference proceedings, the reference lists of retrieved articles for randomised controlled trials and quasi‐randomised trials, and online for Chinese literature articles. SELECTION CRITERIA: We selected randomised, quasi‐randomised and cluster‐randomised trials involving preterm and term neonates. Trials were included if they used a proton pump inhibitor, H2 receptor antagonist, antacid, sucralfate or bismuth either for the prevention or treatment of upper gastrointestinal bleeding. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed the eligibility of studies for inclusion, extracted data and assessed methodological quality. We conducted meta‐analysis using a fixed‐effect model. We used the GRADE approach to assess quality of evidence. MAIN RESULTS: Eleven studies with 818 infants met the criteria for inclusion in this review. Four trials with 329 infants assessed the use of an H2 receptor antagonist for prevention of upper gastrointestinal bleeding in high‐risk newborn infants. Meta‐analysis of these four trials identified a reduction in any upper gastrointestinal bleeding when using an H2 receptor antagonist (typical risk ratio (RR) 0.36, 95% confidence interval (CI) 0.22 to 0.58; typical risk difference (RD) −0.20, 95% CI −0.28 to −0.11; number needed to treat for an additional beneficial outcome (NNTB) 5, 95% CI 4 to 9). The quality of evidence was moderate. A single trial with 53 infants assessing prevention of upper gastrointestinal bleeding reported no difference in mortality in infants assigned H2 receptor antagonist versus no treatment; however the quality of evidence was very low. Seven trials with 489 infants assessed an inhibitor of gastric acid (H2 receptor antagonist or proton pump inhibitor) for treatment of gastrointestinal bleeding in newborn infants. Meta‐analysis of two trials (131 infants) showed no difference in mortality from use of a H2 receptor antagonist compared to no treatment. The quality of evidence was low. Meta‐analysis of two trials (104 infants) showed a reduction in duration of upper gastrointestinal bleeding from use of an inhibitor of gastric acid compared to no treatment (mean difference −1.06 days, 95% CI −1.28 to −0.84). The quality of evidence was very low. Meta‐analysis of six trials (451 infants) showed a reduction in continued upper gastrointestinal bleeding from use of any inhibitor of gastric acid compared to no treatment (typical RR 0.36, 95% CI 0.26 to 0.49; typical RD −0.26, 95% CI −0.33, −0.19; NNTB 4, 95% CI 3 to 5). The quality of evidence was low. There were no significant subgroup differences in duration of upper gastrointestinal bleeding or of continued upper gastrointestinal bleeding according to type of inhibitor of gastric acid. A single trial (38 infants) reported no difference in anaemia requiring blood transfusion from use of a H2 receptor antagonist compared to no treatment. Although no serious adverse events were reported from the use of a H2 receptor antagonist or proton pump inhibitor, some neonatal morbidities — including necrotising enterocolitis, ventilator‐associated pneumonia, duration of ventilation and respiratory support, and duration of hospital stay — were not reported. Long‐term outcome was not reported. AUTHORS' CONCLUSIONS: There is moderate‐quality evidence that use of an H2 receptor antagonist reduces the risk of gastrointestinal bleeding in newborn infants at high risk of gastrointestinal bleeding. There is low‐quality evidence that use of an inhibitor of gastric acid (H2 receptor antagonist or proton pump inhibitor) reduces the duration of upper gastrointestinal bleeding and the incidence of continued gastric bleeding in newborn infants with gastrointestinal bleeding. However, there is no evidence that use of an inhibitor of gastric acid in newborn infants affects mortality or the need for blood transfusion. As no study reported the incidence of necrotising enterocolitis, ventilator‐ or hospital‐associated pneumonia, sepsis, or long‐term outcome, the safety of inhibitors of gastric acid secretion is unclear.

BackgroundGenetic risk for bipolar disorder (BD) is conferred through many common alleles, while a role for rare copy number variants (CNVs) is less clear. Subtypes of BD including schizoaffective disorder bipolar type (SAB), bipolar I disorder (BD I), and bipolar II disorder (BD II) differ according to the prominence and timing of psychosis, mania, and depression. The genetic factors contributing to the combination of symptoms among these subtypes are poorly understood.MethodsRare large CNVs were analyzed in 6353 BD cases (3833 BD I [2676 with psychosis, 850 without psychosis, and 307 with unknown psychosis history], 1436 BD II, 579 SAB, and 505 BD not otherwise specified) and 8656 controls. CNV burden and a polygenic risk score (PRS) for schizophrenia were used to evaluate the relative contributions of rare and common variants to risk of BD, BD subtypes, and psychosis.ResultsCNV burden did not differ between BD and controls when treated as a single diagnostic entity. However, burden in SAB was increased relative to controls (p= .001), BD I (p= .0003), and BD II (p= .0007). Burden and schizophrenia PRSs were increased in SAB compared with BD I with psychosis (CNV p= .0007, PRS p= .004), and BD I without psychosis (CNV p= .0004, PRS p= 3.9× 10-5). Within BD I, psychosis was associated with increased schizophrenia PRSs (p= .005) but not CNV burden.ConclusionsCNV burden in BD is limited to SAB. Rare and common genetic variants may contribute differently to risk for psychosis and perhaps other classes of psychiatric symptoms.

BackgroundMost studies underline the contribution of heritable factors for psychiatric disorders. However, heritability estimates depend on the population under study, diagnostic instruments, and study designs that each has its inherent assumptions, strengths, and biases. We aim to test the homogeneity in heritability estimates between two powerful, and state of the art study designs for eight psychiatric disorders.MethodsWe assessed heritability based on data of Swedish siblings (N = 4 408 646 full and maternal half-siblings), and based on summary data of eight samples with measured genotypes (N = 125 533 cases and 208 215 controls). All data were based on standard diagnostic criteria. Eight psychiatric disorders were studied: (1) alcohol dependence (AD), (2) anorexia nervosa, (3) attention deficit/hyperactivity disorder (ADHD), (4) autism spectrum disorder, (5) bipolar disorder, (6) major depressive disorder, (7) obsessive-compulsive disorder (OCD), and (8) schizophrenia.ResultsHeritability estimates from sibling data varied from 0.30 for Major Depression to 0.80 for ADHD. The estimates based on the measured genotypes were lower, ranging from 0.10 for AD to 0.28 for OCD, but were significant, and correlated positively (0.19) with national sibling-based estimates. When removing OCD from the data the correlation increased to 0.50.ConclusionsGiven the unique character of each study design, the convergent findings for these eight psychiatric conditions suggest that heritability estimates are robust across different methods. The findings also highlight large differences in genetic and environmental influences between psychiatric disorders, providing future directions for etiological psychiatric research.

Title of data: GRADE tables. List of outcomes, relative effects (95% CI), number of participants (studies) and certainty of the evidence (GRADE). (PDF 73 kb)

The Medline search strategy. (DOCX 19 kb)

Additional file 3: Figure S1. PFGE of Salmonella isolates from the two layer farms.

Additional file 2: Table S2. PEGE type of Salmonella in different origins of the two layer farms.

Additional file 1: Table S1. The prevalence and distribution of Salmonella in egg samples.

There is increasing evidence that genome-wide association ( GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study ( using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined similar to 2,000 individuals for each of 7 major diseases and a shared set of similar to 3,000 controls. Case-control comparisons identified 24 independent association signals at P < 5 X 10(-7): 1 in bipolar disorder, 1 in coronary artery disease, 9 in Crohn's disease, 3 in rheumatoid arthritis, 7 in type 1 diabetes and 3 in type 2 diabetes. On the basis of prior findings and replication studies thus-far completed, almost all of these signals reflect genuine susceptibility effects. We observed association at many previously identified loci, and found compelling evidence that some loci confer risk for more than one of the diseases studied. Across all diseases, we identified a large number of further signals ( including 58 loci with single-point P values between 10(-5) and 5 X 10(-7)) likely to yield additional susceptibility loci. The importance of appropriately large samples was confirmed by the modest effect sizes observed at most loci identified. This study thus represents a thorough validation of the GWA approach. It has also demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; has generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in the British population is generally modest. Our findings offer new avenues for exploring the pathophysiology of these important disorders. We anticipate that our data, results and software, which will be widely available to other investigators, will provide a powerful resource for human genetics research.

A wide range of household sources may potentially contribute to contaminant loads in domestic wastewater. Typically, domestic wastewater is combined and transported as a single wastestream, however, there is considerable variation in the pollutant and pathogen content of wastewater derived from different activities within the home (e.g. toilet flushing, dishwashing, bathing etc.). In Ireland, the issue of unsewered wastewater treatment systems often located in rural areas and estimated to number over 400,000, constitutes a significant diffuse risk to both surface & groundwater.

Mucin secretion in the lung is regulated by the soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) exocytotic core, which has not been defined in airway goblet cells. In this study, the SNARE vesicle-associated membrane protein 8 (VAMP8) was found to be expressed in human airway epithelial goblet cells. VAMP8 knockdown by RNA interference techniques reduced airway epithelial mucin secretion induced by PAR agonists, neutrophil elastase and ATP. Basal (non-agonist elicited) mucin secretion was also reduced as a result of VAMP8 knockdown. Importantly, mucin secretion was reduced in the lungs of VAMP8 knockout mice compared to wild-type littermates. Our data suggest that VAMP8 is an essential SNARE in airway mucin granule exocytosis. Reduction of VAMP8 activity/expression may provide a novel therapeutic target to ameliorate airway mucus obstruction in lung diseases.

Calcium regulates many biological processes through interaction with proteins with different conformational, dynamic, and metal binding properties. Previous studies have shown that the electrostatic environment plays a key role in calcium binding affinity. In this research, we aim to dissect the contribution of the electrostatic environment to calcium binding affinity using protein design. Many natural calcium binding proteins undergo large conformational changes upon calcium binding which hampers the study of these proteins. In addition, cooperativity between multiple calcium binding sites makes it difficult to study site-specific binding affinity. The design of a single calcium binding site into a host system eliminates the difficulties that occur in the study of calcium binding affinity. Using a computer algorithm we have rationally designed several calcium binding sites with a pentagonal bipyramidal geometry in the non-calcium dependent cell adhesion protein CD2 (CD2-D1) to better investigate the key factors that affect calcium binding affinity. The first generation proteins are all in varying electrostatic environments. The conformational and metal binding properties of each of these designed proteins were analyzed. The second generation designed protein, CD2.6D79, was designed based on criteria learned from the first generation proteins. This protein contains a novel calcium binding site with ligands all from the ƒ-strands of the non-calcium dependent cell adhesion protein CD2. The resulting protein maintains native secondary and tertiary packing and folding properties. In addition to its selectivity for calcium over other mono and divalent metal ions, it displays strong metal binding affinities for calcium and its analogues terbium and lanthanum. Furthermore, our designed protein binds CD48, the ligand binding partner of CD2, with an affinity three-fold stronger than CD2. The electrostatic potential of the calcium binding site was modified through mutation to facilitate the study of the effect of electrostatic interactions on calcium binding affinity. Several charge distribution mutants display varying metal binding affinities based on their charge, distance to the calcium binding site, and protein stability. This study will provide insight into the key site factors that control calcium binding affinity and calcium dependent biological function.

In 1996, a national objective was established to reduce the rate of fatal accidents in aviation. To assist in determining the best methods for improving aircraft crash survivability, a combined approach was used involving database research and the examination of case studies of transport aviation accidents. The results of the study include recommendations for maintaining occupiable space, enhancing occupant restraint, managing energy transferred to the occupant, improving egress, and increasing post-crash survival.

Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers.