Peptic Ulcer Disease and Helicobacter pylori Infection in Different Siberian Ethnicities.

BACKGROUND: The high prevalence of Helicobacter pylori (H. pylori) infection in eastern Siberia is consistently established. In the same geographic area, however, fragmentary information is available on the epidemiology of the peptic ulcer disease (PUD). AIM: To assess the prevalence of H. pylori infection (including CagA status) and PUD in different eastern Siberian ethnicities. PATIENTS AND METHODS: An endoscopy population of 3149 eastern Siberian dyspeptic patients was considered [1727 Europoids and 1422 Mongoloids (Evenks = 792; Khakases = 630)]. H. pylori status was assessed by urease test and/or serum anti-H. pylori IgG and/or histology. CagA status was serologically assessed (anti-CagA antibodies). RESULTS: All the Siberian ethnicities featured high rates of H. pylori infection (Europoids = 87.1%, Evenks = 88.6%, Khakases = 85.4%). Among the 1504 H. pylori-positive Europoids, the prevalence of CagA-positive status (68.7%) was significantly higher than that featured by the 1240 H. pylori-positive Mongoloid ethnicities (46.9%; p < .001 for both comparisons). Peptic ulcer disease significantly prevailed among Europoids (prevalence among Europoid Evenks and Khakases: 8.9% and 8.3%, respectively; prevalence among Mongoloid Evenks and Khakases = 1.0% and 4.4%, respectively). CONCLUSIONS: eastern Siberian populations feature consistent high rates of H. pylori infection, but different prevalence of peptic ulcer disease. In particular, Europoids featured a prevalence of both CagA-positive status and peptic ulcer disease significantly higher than that of the Mongoloid ethnicities. These results suggest that both environmental factors (coexisting with the H. pylori infection) and host-related variables modulate the clinicopathological expression of the H. pylori -associated gastric diseases.

Association of Blood NK Cell Phenotype with the Severity of Liver Fibrosis in Patients with Chronic Viral Hepatitis C with Genotype 1 or 3.

BACKGROUND: NK cells phenotype and functional state in different genotypes of chronic viral hepatitis C (CVHC), depending on liver fibrosis severity, have not been sufficiently studied, which limits the possibilities for the development of pathology therapy. METHODS: The CVHC diagnosis was based on the EASL recommendations (2018). Clinical examination with liver elastometry was performed in 297 patients with genotype 1 and in 231 patients with genotype 3 CVHC. The blood NK cells phenotype was determined by flow cytometry in 74 individuals with genotype 1 and in 69 individuals with genotype 3 CVHC. RESULTS: The frequency of METAVIR liver fibrosis stages F3-F4 was 32.5% in individuals with genotype 3, and 20.5% in individuals with genotype 1 CVHC (p = 0.003). In patients with both genotype 1 and genotype 3 CVHC, a decrease in the total number of blood NK cells, CD56brightCD16+ NK cells and an increase in the proportion of CD56dimCD16+ NK cells, CD94+ and CD38 + CD73+ NK cells were registered in patients with fibrosis stage F3-F4 by METAVIR in comparison with persons with METAVIR fibrosis stage F0-F1. CONCLUSIONS: In patients with both genotype 1 and genotype 3 CVHC, an imbalance in the ratio between cytokine-producing and cytotoxic NK cells and an increase in the content of NK cells that express inhibitory molecules were determined in patients with severe liver fibrosis.

Dynamics of Oxidative Stress in Helicobacter pylori-Positive Patients with Atrophic Body Gastritis and Various Stages of Gastric Cancer.

Gastric cancer is a global health problem. The pathogenesis of this disease remains unclear. This study included 198 H. pylori (+) men aged 45 to 60 years old. Group A included 63 practically healthy men, group B included 45 men with severe atrophic body gastritis, group C included 37 men with epithelial gastric cancer stages I-II according to TNM, and group D included 54 men with epithelial gastric cancer stages III-IV according to the TNM scale. The content of malondialdehyde (MDA), diene conjugates (DCs), superoxide dismutase (SOD), catalase (CAT), glutathione S-transferase (GST), and glutathione peroxidase (GPO) was detected using an enzyme immunoassay (ELISA) or spectrophotometric methods in the blood plasma. The concentrations of MDA and DC were increased in the patients of group B compared with group A, and in patients of groups C and D compared with groups A and B. The ratio of MDA/SOD and MDA/CAT was decreased in the patients in group D compared with the patients in group C, and was significantly higher compared with group A. The ratios of MDA/GPO and MDA/GST increased linearly and were at a maximum in groups C and D. Our work determined that indicators of oxidative stress may be the biochemical substrate, which brings together the various stages of the Correa cascade, and may explain disease progression. The dynamics of changes in the content of SOD and CAT in the plasma in patients with gastric cancer may be a target of future investigations.

A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile.

Background and Aims: The aim of this study was to apply machine learning models and a nomogram to differentiate critically ill from non-critically ill COVID-19 pneumonia patients. Methods: Clinical symptoms and signs, laboratory parameters, cytokine profile, and immune cellular data of 63 COVID-19 pneumonia patients were retrospectively reviewed. Outcomes were followed up until Mar 12, 2020. A logistic regression function (LR model), Random Forest, and XGBoost models were developed. The performance of these models was measured by area under receiver operating characteristic curve (AUC) analysis. Results: Univariate analysis revealed that there was a difference between critically and non-critically ill patients with respect to levels of interleukin-6, interleukin-10, T cells, CD4+ T, and CD8+ T cells. Interleukin-10 with an AUC of 0.86 was most useful predictor of critically ill patients with COVID-19 pneumonia. Ten variables (respiratory rate, neutrophil counts, aspartate transaminase, albumin, serum procalcitonin, D-dimer and B-type natriuretic peptide, CD4+ T cells, interleukin-6 and interleukin-10) were used as candidate predictors for LR model, Random Forest (RF) and XGBoost model application. The coefficients from LR model were utilized to build a nomogram. RF and XGBoost methods suggested that Interleukin-10 and interleukin-6 were the most important variables for severity of illness prediction. The mean AUC for LR, RF, and XGBoost model were 0.91, 0.89, and 0.93 respectively (in two-fold cross-validation). Individualized prediction by XGBoost model was explained by local interpretable model-agnostic explanations (LIME) plot. Conclusions: XGBoost exhibited the highest discriminatory performance for prediction of critically ill patients with COVID-19 pneumonia. It is inferred that the nomogram and visualized interpretation with LIME plot could be useful in the clinical setting. Additionally, interleukin-10 could serve as a useful predictor of critically ill patients with COVID-19 pneumonia.

Helicobacter pylori Infection, Intestinal Metaplasia, and Gastric Cancer Risk in Eastern Siberia.

BACKGROUND: The incidence of gastric cancer (GC) is extremely high in Russia and eastern Siberia, where information on the epidemiology of Helicobacter pylori infection is fragmentary. AIMS: To assess the prevalence of both H. pylori infection (including CagA status) and intestinal metaplasia (IM) in Russian and eastern Siberian populations carrying a different risk of GC. MATERIALS AND METHODS: A sample of 2129 consecutive patients was considered, including 689 Europoids and 1440 Mongoloids (493 Evenks, 533 Khakass people, and 414 Tuvans), who all underwent serum sampling and upper gastrointestinal endoscopy. H. pylori status was established (ELISA, urease test, and histology), and IgG anti-CagA antibodies were assessed (ELISA) in H. pylori-positive cases. At least 3 biopsy samples per patient were considered, and IM was scored as present versus absent. The prevalence of H. pylori, CagA+ve status, and IM was compared with the incidence of GC according to the regional cancer registries. RESULTS: The prevalence of H. pylori was similar for the Europoids and Mongoloids (93.6 vs 94.3%). The prevalence of CagA+ve infection was as follows: Europoids 61.2%, Evenks 36.4%, Khakass 44.0%, Tuvans 60.0% (p(1vs2) < .001; p(1vs3) < .001; p(2vs4) < .001; p(3vs4) < .001). The prevalence of IM was as follows: Europoids 10.7%, Evenks 5.1%, Khakass 9.8%, and Tuvans 23.4% (p(1vs2) = .001; p(1vs4) < .001; p(2vs4) < .001; p(3vs4) < .001). The incidence of GC (per 100,000 population/year) was as follows: Europoids 33.2; Evenks 18.2; Khakass 20.2; Tuvans 50.7 (p(1vs2) = 0.04; p(1vs3) = .05; p(2vs4) < .001; p(3vs4) < .001). CONCLUSION: H. pylori infection is consistently high in Russian and eastern Siberian populations; ethnicities with similar prevalence of CagA+ve status had different prevalence of IM and incidence of GC. As expected, IM prevalence correlated with the incidence of GC. Host-related and/or environmental factors may explain discrepancies between H. pylori status, the prevalence of IM, and the incidence of GC.

Russian Consensus on Exo- and Endocrine Pancreatic Insufficiency After Surgical Treatment.

The Russian consensus on exo- and endocrine pancreatic insufficiency after surgical treatment was prepared on the initiative of the Russian Pancreatic Club using the Delphi method. Its goal was to consolidate the opinions of national experts on the most relevant issues of diagnosis and treatment of exo- and endocrine insufficiency after surgical interventions on the pancreas. An interdisciplinary approach is ensured by the participation of leading gastroenterologists and surgeons.

Sex differences in the relationship among alcohol, smoking, and Helicobacter pylori infection in asymptomatic individuals.

OBJECTIVE: We aimed to investigate the relationship of Helicobacter pylori infection with alcohol and smoking. METHODS: We conducted a cross-sectional study among participants who underwent health check-ups for H. pylori infection between January 2013 and March 2017. We subsequently investigated the relationship of H. pylori infection with alcohol and smoking. RESULTS: A total of 7169 participants were enrolled in this study. The overall prevalence of H. pylori infection was 55.2%. Participants with H. pylori infection were more likely to be older than those without H. pylori infection. For male participants with H. pylori infection, multivariable logistic regression analysis indicated that both smoking (odds ratio (OR): 1.61; 95% confidence interval (CI): 1.41-1.83) and alcohol consumption (OR: 1.30; 95% CI: 1.10-1.52) were independently positively associated with H. pylori infection. For female participants, multivariable logistic regression analysis indicated that both smoking (OR: 0.03; 95% CI: 0.02-0.07) and alcohol consumption (OR: 0.20; 95% CI: 0.12-0.33) were inversely significantly associated with H. pylori infection after adjustment for age. CONCLUSIONS: Smoking and alcohol consumption were risk factors for male participants but these were protective factors for female individuals with H. pylori infection.

HER2 status in gastroesophageal cancer: a tissue microarray study of 1040 cases.

Among patients with gastric cancer (GC) and gastroesophageal cancer (G-EC), HER2 amplification identifies those who may benefit from trastuzumab. HER2 status assessment, however, is influenced by preanalytic, analytic, and postanalytic variables. In a series of 5426 microarray cancer tissue cores obtained from 1040 GC/G-ECs (824 GC, 216 G-EC) and 720 synchronous nodal metastases, we evaluated both the performances of 2 different immunohistochemistry (IHC) protocols and the HER2 status intratumor variability. The prevalence of HER2 amplification and protein overexpression were assessed by chromogenic in situ hybridization and by 2 IHC protocols (CB11 and 4B5). HER2 was amplified in 114 (11%) of 1040 cases; in 6 (5.3%) of 114 cases, gene amplification only involved nodal metastasis. HER2 amplification prevailed in intestinal-type (P = .001) and low-grade (P < .001) tumors, showing no correlation with patients' age/sex, tumor location, stage, and Ming histotype. Overall, 12.5% and 13.7% of cases IHC scored 2+/3+ using the CB11-IHC and the 4B5-IHC protocol, respectively. HER2 amplification was not associated with protein overexpression (score 0/1+) in 11.4% and 6.2% of cases using the CB11-IHC and the 4B5-IHC protocol, respectively. The 4B5-IHC protocol proved more sensitive than CB11-IHC (93.9% versus 88.6%) and just as specific (96.1% versus 96.9%). Tested by chromogenic in situ hybridization, intratumor HER2 status was "substantially" consistent in different tissue cores obtained from the same case (κ = 0.78). Similar results were obtained for HER2 protein expression (CB11-IHC, κ = 0.78, and 4B5-IHC, κ = 0.83). Immunohistochemistry testing, however, fails in identifying about 10% of HER2-amplified cancers, potentially excluding these patients from anti-HER2 therapy.

Human gut microbiota community structures in urban and rural populations in Russia.

The microbial community of the human gut has a crucial role in sustaining host homeostasis. High-throughput DNA sequencing has delineated the structural and functional configurations of gut metagenomes in world populations. The microbiota of the Russian population is of particular interest to researchers, because Russia encompasses a uniquely wide range of environmental conditions and ethnogeographical cohorts. Here we conduct a shotgun metagenomic analysis of gut microbiota samples from 96 healthy Russian adult subjects, which reveals novel microbial community structures. The communities from several rural regions display similarities within each region and are dominated by the bacterial taxa associated with the healthy gut. Functional analysis shows that the metabolic pathways exhibiting differential abundance in the novel types are primarily associated with the trade-off between the Bacteroidetes and Firmicutes phyla. The specific signatures of the Russian gut microbiota are likely linked to the host diet, cultural habits and socioeconomic status.