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ObjectiveGastric carcinoma development is triggered by Helicobacter pylori. Chronic H. pylori infection leads to reduced acid secretion, which may allow the growth of a different gastric bacterial community. This change in the microbiome may increase aggression to the gastric mucosa and contribute to malignancy. Our aim was to evaluate the composition of the gastric microbiota in chronic gastritis and in gastric carcinoma.DesignThe gastric microbiota was retrospectively investigated in 54 patients with gastric carcinoma and 81 patients with chronic gastritis by 16S rRNA gene profiling, using next-generation sequencing. Differences in microbial composition of the two patient groups were assessed using linear discriminant analysis effect size. Associations between the most relevant taxa and clinical diagnosis were validated by real-time quantitative PCR. Predictive functional profiling of microbial communities was obtained with PICRUSt.ResultsThe gastric carcinoma microbiota was characterised by reduced microbial diversity, by decreased abundance of Helicobacter and by the enrichment of other bacterial genera, mostly represented by intestinal commensals. The combination of these taxa into a microbial dysbiosis index revealed that dysbiosis has excellent capacity to discriminate between gastritis and gastric carcinoma. Analysis of the functional features of the microbiota was compatible with the presence of a nitrosating microbial community in carcinoma. The major observations were confirmed in validation cohorts from different geographic origins.ConclusionsDetailed analysis of the gastric microbiota revealed for the first time that patients with gastric carcinoma exhibit a dysbiotic microbial community with genotoxic potential, which is distinct from that of patients with chronic gastritis.

Recent studies have shown that the microbiome can impact cancer development, progression, and response to therapies suggesting microbiome-based approaches for cancer characterization. As cancer-related signatures are complex and implicate many taxa, their discovery often requires Machine Learning approaches. This review discusses Machine Learning methods for cancer characterization from microbiome data. It focuses on the implications of choices undertaken during sample collection, feature selection and pre-processing. It also discusses ML model selection, guiding how to choose an ML model, and model validation. Finally, it enumerates current limitations and how these may be surpassed. Proposed methods, often based on Random Forests, show promising results, however insufficient for widespread clinical usage. Studies often report conflicting results mainly due to ML models with poor generalizability. We expect that evaluating models with expanded, hold-out datasets, removing technical artifacts, exploring representations of the microbiome other than taxonomical profiles, leveraging advances in deep learning, and developing ML models better adapted to the characteristics of microbiome data will improve the performance and generalizability of models and enable their usage in the clinic.

Helicobacter pylori colonizes the human stomach and increases the risk for peptic ulcer disease and gastric carcinoma. H. pylori upregulates the expression and activity of several matrix metalloproteinases (MMPs) in cell lines and in the gastric mucosa. The aim of this study was to explore the mechanisms leading to upregulation of MMP10 in gastric epithelial cells induced by H. pylori Infection of gastric cells with H. pylori led to an increase in levels of MMP-10 messenger RNA, protein secretion, and activity. cagA knockout mutants or CagA phosphorylation-defective mutants failed to increase MMP10 expression. These results were confirmed in infection experiments with clinical isolates with known cagA status and in human gastric biopsy specimens. Treatment of cells with chemical inhibitors of the receptor tyrosine kinase EGFR and the kinase Src abrogated H. pylori-induced MMP10 expression. Inhibitors of ERK1/2 and JNK kinases abolished and significantly decreased H. pylori-induced MMP10 expression, respectively, whereas inhibition of the kinase p38 had no effect. Finally, inhibition of MMP10 expression by small interfering RNA led to a decrease in the gastric cell-invasive phenotype mediated by the infection. In conclusion, CagA-positive H. pylori strains stimulate MMP10 expression. MMP-10 modulation occurs via EGFR activation in a process that involves Src, ERK, and JNK pathways. MMP-10 may be implicated in H. pylori-mediated extracellular matrix remodeling.

Background Germline mutations of E-cadherin contribute to hereditary diffuse gastric cancer (HDGC) and congenital malformations, such as oral facial clefts (OFC). However, the molecular mechanisms through which E-cadherin loss-of-function triggers distinct clinical outcomes remain unknown. We postulate that E-cadherin-mediated disorders result from abnormal interactions with the extracellular matrix and consequent aberrant intracellular signalling, affecting the coordination of cell migration. Methods Herein, we developed in vivo and in vitro models of E-cadherin mutants associated with either OFC or HDGC. Using a Drosophila approach, we addressed the impact of the different variants in cell morphology and migration ability. By combining gap closure migration assays and time-lapse microscopy, we further investigated the migration pattern of cells expressing OFC or HDGC variants. The adhesion profile of the variants was evaluated using high-throughput ECM arrays, whereas RNA sequencing technology was explored for identification of genes involved in aberrant cell motility. Results We have demonstrated that cells expressing OFC variants exhibit an excessive motility performance and irregular leading edges, which prevent the coordinated movement of the epithelial monolayer. Importantly, we found that OFC variants promote cell adhesion to a wider variety of extracellular matrices than HDGC variants, suggesting higher plasticity in response to different microenvironments. We unveiled a distinct transcriptomic profile in the OFC setting and pinpointed REG1A as a putative regulator of this outcome. Consistent with this, specific RNAi-mediated inhibition of REG1A shifted the migration pattern of OFC expressing cells, leading to slower wound closure with coordinated leading edges. Conclusions We provide evidence that E-cadherin variants associated with OFC activate aberrant signalling pathways that support dynamic rearrangements of cells towards improved adaptability to the microenvironment. This proficiency results in abnormal tissue shaping and movement, possibly underlying the development of orofacial malformations. Graphical Abstract

Background: Gastric Cancer (GC) is the fourth most deadly cancer worldwide. Enhanced understanding of its key epidemiological and molecular drivers is urgently needed to lower the incidence and improve outcomes. Furthermore, tumor biology in European (EU) and Latin American (LATAM) countries is understudied. The LEGACy study is a Horizon 2020 funded multi-institutional research approach to 1) detail the epidemiological features including risk factors of GC in current time and 2) develop cost-effective methods to identify and integrate biological biomarkers needed to guide diagnostic and therapeutic approaches with the aim of filling the knowledge gap on GC in these areas. Methods: This observational study has three parts that are conducted in parallel during 2019-2023 across recruiting centers from four EU and four LATAM countries: Part 1) A case-control study (800 cases and 800 controls) using questionnaires on candidate risk factors for GC, which will be correlated with clinical, demographic and epidemiological parameters. Part 2) A case-control tissue sampling study (400 cases and 400 controls) using proteome, genome, microbiome and immune analyses to characterize advanced (stage III and IV) GC. Patients in this part of the study will be followed over time to observe clinical outcomes. The first half of samples will be used as training cohort to identify the most relevant risk factors and biomarkers, which will be selected to propose cost-effective diagnostic and predictive methods that will be validated with the second half of samples. Part 3) An educational study, as part of our prevention strategy (subjects recruited from the general public) to test and disseminate knowledge on GC risk factors and symptoms by a questionnaire and informative video. Patients could be recruited for more than one of the three LEGACy studies.

There are no established predictive markers of progression of gastric preneoplastic lesions. The aim of this study was to analyze the relationship between Helicobacter pylori cagA and vacA genotypes and progression of gastric preneoplastic lesions. This was a follow-up study that carried out in a province of Spain with a high risk of gastric cancer. A total of 312 patients who underwent upper endoscopy with gastric biopsy in 1988-1994 with diagnoses of normal mucosa, non-atrophic gastritis (NAG), non-metaplastic multifocal atrophic gastritis (MAG), and complete or incomplete intestinal metaplasia (IM), and who accepted to undergo a new biopsy during 2005-2007 or had an end point during follow-up, were included in this study. Detection and characterization of H. pylori cagA and vacA genotypes was performed directly in baseline paraffin-embedded gastric biopsy specimens by PCR followed by reverse hybridization onto a line probe assay. Inter- and intra-observer variability of histological diagnosis was assessed. Analysis was done using unconditional logistic regression. The mean age of patients was 48.5 years (45% males) and the mean of follow-up was 12.8 years. H. pylori strains harboring cagA, vacA s1, and vacA m1 genotypes were more frequently found in patients with more advanced gastric preneoplastic lesions. Infection with cagA-positive, vacA s1, and vacA m1 strains was associated with progression of gastric preneoplastic lesions (multivariate odds ratio (OR)=2.28, 95% confidence interval (CI) 1.13-4.58; OR=2.90, 95% CI 1.38-6.13; and OR=3.38, 95% CI 1.34-8.53, respectively). Infection with strains that are simultaneously cagA positive and vacA s1/m1 was associated with progression of gastric precancerous lesions with an OR of 4.80 (95% CI 1.71-13.5) in relation to those infected with cagA-negative/vacA s2/m2 strains. H. pylori genotyping may be useful for the identification of patients at high risk of progression of gastric preneoplastic lesions and who need more intensive surveillance.

H. pylori drug-resistant strains and non-compliance to therapy are the major causes of H. pylori eradication failure. For some bacterial species it has been demonstrated that fatty acids have a growth inhibitory effect. Our main aim was to assess the ability of docosahexaenoic acid (DHA) to inhibit H. pylori growth both in vitro and in a mouse model. The effectiveness of standard therapy (ST) in combination with DHA on H. pylori eradication and recurrence prevention success was also investigated. The effects of DHA on H. pylori growth were analyzed in an in vitro dose-response study and n in vivo model. We analized the ability of H. pylori to colonize mice gastric mucosa following DHA, ST or a combination of both treatments. Our data demonstrate that DHA decreases H. pylori growth in vitro in a dose-dependent manner. Furthermore, DHA inhibits H. pylori gastric colonization in vivo as well as decreases mouse gastric mucosa inflammation. Addition of DHA to ST was also associated with lower H. pylori infection recurrence in the mouse model. In conclusion, DHA is an inhibitor of H. pylori growth and its ability to colonize mouse stomach. DHA treatment is also associated with a lower recurrence of H. pylori infection in combination with ST. These observations pave the way to consider DHA as an adjunct agent in H. pylori eradication treatment.

Helicobacter pylori, a stomach-colonizing Gram-negative bacterium, is the main etiological factor of various gastroduodenal diseases, including gastric adenocarcinoma. By establishing a life-long infection of the gastric mucosa, H. pylori continuously activates host-signaling pathways, in particular those associated with receptor tyrosine kinases. Using two different gastric epithelial cell lines, we show that H. pylori targets the receptor tyrosine kinase EPHA2. For long periods of time post-infection, H. pylori induces EPHA2 protein downregulation without affecting its mRNA levels, an effect preceded by receptor activation via phosphorylation. EPHA2 receptor downregulation occurs via the lysosomal degradation pathway and is independent of the H. pylori virulence factors CagA, VacA, and T4SS. Using small interfering RNA, we show that EPHA2 knockdown affects cell–cell and cell–matrix adhesion, invasion, and angiogenesis, which are critical cellular processes in early gastric lesions and carcinogenesis mediated by the bacteria. This work contributes to the unraveling of the underlying mechanisms of H. pylori–host interactions and associated diseases. Additionally, it raises awareness for potential interference between H. pylori infection and the efficacy of gastric cancer therapies targeting receptors tyrosine kinases, given that infection affects the steady-state levels and dynamics of some receptor tyrosine kinases (RTKs) and their signaling pathways.

ABSTRACT Objective: To evaluate nurse safety culture in a teaching hospital, as well as to verify differences in the safety culture dimensions between services. Method: cross-sectional, quantitative study, conducted from October to December 2015, in a university hospital. The instrument Hospital Survey on Patient Safety Culture was applied. Results: A total of 195 nurses from four different services participated in the study. Significant difference between services were identified for five dimensions of safety culture: organizational learning (P=0.012); return of information and communication about error (P=0.014); management support for patient safety (P=0.001); general perceptions about patient safety (P=0.005); and frequency of event notification (P=0.003). Conclusion: The medical clinic service had the highest statistical difference between the dimensions. These evaluations allow managers to identify the differences between the same hospital’s services, serving as a warning and assisting in the services’ improvement. RESUMEN Objetivo: Analizar la cultura de seguridad de los enfermeros de un hospital escuela y examinar las diferencias de los aspectos de esa cultura entre los servicios realizados. Método: Estudio transversal y cuantitativo, realizado de octubre a diciembre de 2015, en un hospital universitario. Se utilizó el instrumento Hospital Survey on Patient Safety Culture. Resultados: Participaron 195 enfermeros de cuatro servicios. Se identificó una diferencia significativa entre los servicios en los cinco aspectos de la cultura de seguridad: el aprendizaje organizacional (p = 0,012); la información de retorno y la comunicación con respecto al error (p = 0,014); el soporte de la gestión para la seguridad del paciente (p = 0,001); las percepciones generales sobre la seguridad del paciente (p = 0,005); y la frecuencia de comunicación de eventos (p = 0,003). Conclusión: El servicio en clínica médica presentó una mayor diferencia estadística entre los aspectos identificados. Estas evaluaciones pueden permitir que los gestores identifiquen las diferencias entre los servicios del mismo hospital, sirviendo como advertencia y perfeccionando los servicios. RESUMO Objetivo: Avaliar a cultura de segurança dos enfermeiros de um hospital de ensino e verificar as diferenças das dimensões dessa cultura entre os serviços. Método: Estudo transversal e quantitativo, realizado em outubro a dezembro de 2015, em um hospital universitário. Foi aplicado o instrumento Hospital Survey on Patient Safety Culture. Resultados: Participaram 195 enfermeiros de quatro serviços. Identificou-se diferença significativa entre os serviços para cinco dimensões de cultura de segurança: aprendizado organizacional (p = 0.012); retorno da informação e comunicação a respeito de erro (p = 0.014); suporte da gestão para segurança do paciente (p = 0.001); percepções gerais sobre segurança do paciente (p = 0.005); e frequência da notificação de eventos (p = 0.003). Conclusão: O serviço de clínica médica apresentou maior diferença estatística entre as dimensões. Essas avaliações permitem que os gestores identifiquem as diferenças entre os serviços do mesmo hospital, servindo de alerta e aperfeiçoando os serviços.