Clinical significance and intestinal microbiota composition in immunocompromised children with norovirus gastroenteritis

2021 ◽  
Author(s):  
Pei-Chun Lin ◽  
Shu-Huey Chen ◽  
Yu-Chen Yang ◽  
Sheng-Chieh Lin ◽  
Meng-Che Lu ◽  
...  
Keyword(s):  
Intestinal Microbiota ◽  
Immune Status ◽  
Enrichment Analysis ◽  
Microbiota Composition ◽  
Rt Pcr ◽  
Linear Discriminant ◽  
Viral Shedding ◽  
Norovirus Gastroenteritis ◽  
Significant Difference ◽  
Immunocompetent Patients

Abstract Our study aims to figure out the clinical differences and distribution of intestinal microbiota in immunocompromised children with norovirus (NoV) gastroenteritis. Pediatric patients admitted to Shang-Ho Hospital with diagnosis of acute gastroenteritis with different immune status were enrolled and their medical records were reviewed. NoV gastroenteritis was validated using RT-PCR molecular methods. Viral shedding period was determined by real-time RT-PCR assays. Intestinal microbiota enrichment analysis was carried out by next generation sequencing with Linear Discriminant Analysis (LDA) Effect Size (LEfSe) method. Significantly higher frequency [mean, (IQR), 3.8 (3–5) /day] and longer viral shedding time [mean, IQR, 8.5 (5–13) days] was found in immunocompromised NoV infections than in immunocompetent patients without NoV infections (P = 0.013) and immunocompetent patients with NoV infections (P = 0.030). The fever prevalence was significantly lower in immunocompromised NoV infections. Comparative metagenomics analysis showed a significant difference in richness at the phylum level, the family level, and the genus level in patients under different immune status. We evaluated the clinical significances and microbiota composition in immunocompromised children with norovirus gastroenteritis. This will futher facilitate studies regarding the intestinal microbiota in such patients in determination of bacterial infection control and probiotic supplements strategy.

scholarly journals The Effect of Dietary Mushroom Agaricus bisporus on Intestinal Microbiota Composition and Host Immunological Function

Nutrients ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1721 ◽  
Author(s):  
Gloria Solano-Aguilar ◽  
Saebyeol Jang ◽  
Sukla Lakshman ◽  
Richi Gupta ◽  
Ethiopia Beshah ◽  
...  
Keyword(s):  
Immune Response ◽  
Intestinal Microbiota ◽  
Mononuclear Cells ◽  
Host Immune Response ◽  
Proximal Colon ◽  
Microbiota Composition ◽  
Peripheral Blood Mononuclear ◽  
Linear Discriminant ◽  
Freeze Dried ◽  
And Function

A study was designed to determine the potential prebiotic effect of dietary mushrooms on the host immune response, and intestinal microbiota composition and function. Thirty-one six-week-old pigs were fed a pig grower diet alone or supplemented with either three or six servings of freeze-dried white button (WB)-mushrooms for six weeks. Host immune response was evaluated in peripheral blood mononuclear cells (PBMC), and alveolar macrophages (AM) after stimulation with Salmonella typhymurium-Lipopolysaccharide (LPS). Isolated DNA from fecal and proximal colon contents were used for 16S rDNA taxonomic analysis and linear discriminant analysis effect size (LEfSe) to determine bacterial abundance and metabolic function. Pigs gained weight with no difference in body composition or intestinal permeability. Feeding mushrooms reduced LPS-induced IL-1β gene expression in AM (P < 0.05) with no change in LPS-stimulated PBMC or the intestinal mucosa transcriptome. LEfSe indicated increases in Lachnospiraceae, Ruminococcaceae within the order Clostridiales with a shift in bacterial carbohydrate metabolism and biosynthesis of secondary metabolites in the mushroom-fed pigs. These results suggested that feeding WB mushrooms significantly reduced the LPS-induced inflammatory response in AM and positively modulated the host microbiota metabolism by increasing the abundance of Clostridiales taxa that are associated with improved intestinal health.

scholarly journals COVID-19 Prognostic Modeling Using CT Radiomic Features and Machine Learning Algorithms: Analysis of a Multi-Institutional Dataset of 14,339 Patients

2021 ◽  
Author(s):  
Isaac Shiri ◽  
Yazdan Salimi ◽  
Masoumeh Pakbin ◽  
Ghasem Hajianfar ◽  
Atlas Haddadi Avval ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
Texture Features ◽  
Machine Learning Algorithms ◽  
Recursive Feature Elimination ◽  
Human Observer ◽  
Rt Pcr ◽  
Linear Discriminant ◽  
Significant Difference ◽  
Feature Selector ◽  
Prognostic Modeling

AbstractObjectiveIn this large multi-institutional study, we aimed to analyze the prognostic power of computed tomography (CT)-based radiomics models in COVID-19 patients.MethodsCT images of 14,339 COVID-19 patients with overall survival outcome were collected from 19 medical centers. Whole lung segmentations were performed automatically using a previously validated deep learning-based model, and regions of interest were further evaluated and modified by a human observer. All images were resampled to an isotropic voxel size, intensities were discretized into 64-binning size, and 105 radiomics features, including shape, intensity, and texture features were extracted from the lung mask. Radiomics features were normalized using Z-score normalization. High-correlated features using Pearson (R2>0.99) were eliminated. We applied the Synthetic Minority Oversampling Technique (SMOT) algorithm in only the training set for different models to overcome unbalance classes. We used 4 feature selection algorithms, namely Analysis of Variance (ANOVA), Kruskal- Wallis (KW), Recursive Feature Elimination (RFE), and Relief. For the classification task, we used seven classifiers, including Logistic Regression (LR), Least Absolute Shrinkage and Selection Operator (LASSO), Linear Discriminant Analysis (LDA), Random Forest (RF), AdaBoost (AB), Naïve Bayes (NB), and Multilayer Perceptron (MLP). The models were built and evaluated using training and testing sets, respectively. Specifically, we evaluated the models using 10 different splitting and cross-validation strategies, including different types of test datasets (e.g. non-harmonized vs. ComBat-harmonized datasets). The sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve (AUC) were reported for models evaluation.ResultsIn the test dataset (4301) consisting of CT and/or RT-PCR positive cases, AUC, sensitivity, and specificity of 0.83±0.01 (CI95%: 0.81-0.85), 0.81, and 0.72, respectively, were obtained by ANOVA feature selector + RF classifier. In RT-PCR-only positive test sets (3644), similar results were achieved, and there was no statistically significant difference. In ComBat harmonized dataset, Relief feature selector + RF classifier resulted in highest performance of AUC, reaching 0.83±0.01 (CI95%: 0.81-0.85), with sensitivity and specificity of 0.77 and 0.74, respectively. At the same time, ComBat harmonization did not depict statistically significant improvement relevant to non-harmonized dataset. In leave-one-center-out, the combination of ANOVA feature selector and LR classifier resulted in the highest performance of AUC (0.80±0.084) with sensitivity and specificity of 0.77 ± 0.11 and 0.76 ± 0.075, respectively.ConclusionLung CT radiomics features can be used towards robust prognostic modeling of COVID-19 in large heterogeneous datasets gathered from multiple centers. As such, CT radiomics-based model has significant potential for use in prospective clinical settings towards improved management of COVID-19 patients.

scholarly journals Analysis of the intestinal microbial community altered during rotavirus infection in suckling mice

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Wei Zhao ◽  
Mei Ling Yu ◽  
XiaoLi Tao ◽  
Mei Hui Cheng ◽  
Chang Cheng Liu ◽  
...  
Keyword(s):  
Microbial Community ◽  
Gut Microbiota ◽  
Intestinal Microbiota ◽  
Intestinal Flora ◽  
Virus Titer ◽  
Microbiota Composition ◽  
Sample Collection ◽  
Suckling Mice ◽  
Significant Difference ◽  
Gut Microbiota Composition

Abstract Background Rotavirus (RV) is a principal cause of diarrhea. However, there is a limited understanding regarding alteration of the gut microbial community structure and abundance during RV infection. This study was to characterize any potential associations between RV infection and the intestinal microbiota. Methods Suckling mice were divided into normal group (NC) and infected group (RV) randomly. All of the suckling mice were euthanized four days post-RV infection. The virus titer was counted as fluorescent focus assay, and viral load was quantified by QPCR. Five sucking mice were randomly selected from each RV group and NC group for sample collection and pathological analysis. Mixed intestinal contents of the colon and rectum were collected from all of the suckling mice. To investigate the detailed relationship between RV infection and intestinal microbiota, the composition and distribution of intestinal microbiota from suckling mice were first analyzed using 16S rRNA sequencing technology. Results The results of the pathological characteristics showed that vacuolar degeneration, vasodilation, hyperemia, and destruction of the intestinal epithelium were apparent in the RV group. Representative genera from Lactobacillus and Fusobacterium were enriched in the NC group, while the Enterococcus and Escherichia/Shigella genera were enriched in the RV group. Helicobacter, Alloprevotrlla, Brevundimonas, Paenibacillus, and Parabacteroides were completely undetectable in the RV group. The predicted intestinal flora metabolic function results showed that “carbohydrate metabolism” and “lipid metabolism” pathways were significantly enriched within the NC group. A significant difference has been observed in the gut microbiota composition between the two groups. Conclusions Our results demonstrated a significant difference in the gut microbiota composition in RV-infected suckling mice as compared to the RV un-infected suckling mice group. This work may provide meaningful information regarding the bacterial genera changed during RV infection. Moreover, the changes in these bacteria may be related with the replication and pathogenesis of RV infection.

scholarly journals Small intestinal microbiota composition and the prognosis of infants with ileostomy resulting from distinct primary diseases

2020 ◽  
Author(s):  
Tian Qian ◽  
Haitao Zhu ◽  
Li Zhu ◽  
Chao Chen ◽  
Chun Shen ◽  
...  
Keyword(s):  
Body Weight ◽  
Immune System ◽  
Microbial Diversity ◽  
Intestinal Microbiota ◽  
Sensu Stricto ◽  
Microbiota Composition ◽  
Meconium Peritonitis ◽  
Beneficial Bacteria ◽  
Significant Difference ◽  
Small Intestinal

Abstract Background: Studies of microbiota composition of infants with small intestinal ostomy due to various etiologies are limited. Here, we characterized the intestinal microbiota of neonates with ileostomy resulting from distinct primary diseases. Methods: Fifteen patients with necrotizing enterocolitis, eight patients with meconium peritonitis, and seven patients with Hirschsprung's disease were included in the study. The small intestinal microbiota composition in infants with ileostomy caused by these diseases was studied. Results: Microbial diversity in neonatal ileostomy fluid was generally low, and was dominated by members of the Proteobacteria and Firmicutes phyla. At the genus level, the most abundant were Klebsiella, Escherichia-Shigella, Streptococcus, Clostridium sensu stricto 1, Enterococcus, and Lactobacillus. Streptococcus and Veillonella are related to carbohydrate metabolism and immunity, and breastfeeding can increase the proportion of these potentially beneficial bacteria. The proportion of Bifidobacterium in the breastfeeding group was higher than that in the non-breastfeeding group, and incidence of colitis and sepsis was reduced in the breastfeeding group. The proportion of Bifidobacterium increased and incidence of colitis and sepsis decreased in the breastfeeding group compared with the non- breastfeeding group, but there was no significant difference. The increase in body weight in the breastfeeding group was observed to be higher than in the non-breastfeeding group. Conclusions: Excessive Klebsiella and Escherichia-Shigella and low abundance of Streptococcus, Veillonella and Faecalibacterium suggests that the small intestinal microbiota is in an unhealthy state after ileostomy. However, Streptococcus, Faecalibacterium, and Veillonella species were frequently present, suggesting that expansion of these bacteria might assist the development of the immune system after surgery.

Faecal microbiota study reveals specific dysbiosis in spondyloarthritis

2017 ◽  
Vol 76 (9) ◽  
pp. 1614-1622 ◽  
Author(s):  
Maxime Breban ◽  
Julien Tap ◽  
Ariane Leboime ◽  
Roula Said-Nahal ◽  
Philippe Langella ◽  
...  
Keyword(s):  
Disease Activity ◽  
Inflammatory Diseases ◽  
Microbiota Composition ◽  
Hla B27 ◽  
Cross Sectional ◽  
Linear Discriminant ◽  
Significant Difference ◽  
History Of ◽  
Striking Change ◽  
Proinflammatory Role

ObjectiveAltered microbiota composition or dysbiosis is suspected to be implicated in the pathogenesis of chronic inflammatory diseases, such as spondyloarthritis (SpA) and rheumatoid arthritis (RA).Methods16S ribosomal RNA gene sequencing was performed on faecal DNA isolated from stool samples in two consecutive cross-sectional cohorts, each comprising three groups of adult volunteers: SpA, RA and healthy controls (HCs). In the second study, HCs comprised a majority of aged-matched siblings of patients with known HLA-B27 status. Alpha and beta diversities were assessed using QIIME, and comparisons were performed using linear discriminant analysis effect size to examine differences between groups.ResultsIn both cohorts, dysbiosis was evidenced in SpA and RA, as compared with HCs, and was disease specific. A restriction of microbiota biodiversity was detected in both disease groups. The most striking change was a twofold to threefold increased abundance of Ruminococcus gnavus in SpA, as compared with both RA and HCs that was significant in both studies and positively correlated with disease activity in patients having a history of inflammatory bowel disease (IBD). Among HCs, significant difference in microbiota composition were also detected between HLA-B27+ and HLA-B27 negative siblings, suggesting that genetic background may influence gut microbiota composition.ConclusionOur results suggest that distinctive dysbiosis characterise both SpA and RA and evidence a reproducible increase in R. gnavus that appears specific for SpA and a marker of disease activity. This observation is consistent with the known proinflammatory role of this bacteria and its association with IBD. It may provide an explanation for the link that exists between SpA and IBD.

scholarly journals Analysis of the Intestinal Microbial Community Altered During Rotavirus Infection in Suckling Mice

2021 ◽  
Author(s):  
wei Zhao ◽  
xiaoli Tao ◽  
Meiling Yu ◽  
Meihui Cheng ◽  
Changcheng Liu ◽  
...  
Keyword(s):  
Microbial Community ◽  
Gut Microbiota ◽  
Intestinal Microbiota ◽  
Intestinal Flora ◽  
Virus Titer ◽  
Microbiota Composition ◽  
Sample Collection ◽  
Suckling Mice ◽  
Significant Difference ◽  
Gut Microbiota Composition

Abstract Background：Rotavirus (RV) is a principal cause of diarrhea. However, there is a limited understanding regarding alteration of the gut microbial community structure and abundance during RV infection. This study was to characterize any potential associations between RV infection and the intestinal microbiota. Methods: Suckling mice were divided into normal group (NC) and infected group (RV) randomly. All of the suckling mice were euthanized four days post-RV infection. The virus titer was counted as fluorescent focus assay (FFA), and viral load was quantified by QPCR. Five sucking mice were randomly selected from each RV group and NC group for sample collection and pathological analysis. All of the suckling mice mixed intestinal contents of the colon and rectum were collected. To investigate the detailed relationship between RV infection and intestinal microbiota, the composition and distribution of intestinal microbiota from suckling mice were first analyzed using 16S rRNA sequencing technology. Results: The results of the pathological characteristics showed that vacuolar degeneration, vasodilation, hyperemia, and destruction of the intestinal epithelium were apparent in the RV group. Representative genera from Lactobacillus and Fusobacterium were enriched in the NC group, while the Enterococcus and Escherichia/Shigella genera were enriched in the RV group. Helicobacter, Alloprevotrlla, Brevundimonas, Paenibacillus, and Parabacteroides were completely undetectable in the RV group. The predicted intestinal flora metabolic function results showed that “carbohydrate metabolism” and “lipid metabolism” pathways were significantly enriched within the NC group. A significant difference has been observed in the gut microbiota composition between the two groups. Conclusions: Our results demonstrated a significant difference in the gut microbiota composition in RV-infected suckling mice as compared to the RV un-infected suckling mice group. This work may provide meaningful information regarding the bacterial genera changed during RV infection. Moreover, the changes in these bacteria may affect the replication of RV and contribute to the pathogenesis of RV infection.

Some Cytokines Levels (IL-6 and IL-10) in Sera Patients with Cutaneous Leismanasis in Nassiriya Province

2020 ◽  
pp. 4-6
Keyword(s):  
Serum Level ◽  
Immune Status ◽  
Pure Science ◽  
Control Subjects ◽  
Significant Difference ◽  
Healthy Control

The present study was carried out in the Labs of collage of education for pure science, during period from January 2017 to endDecember of the same year. The immune status investigates for CLpatients by measuring the levels of cytokines (IL6and IL10) in sera using a technique enzyme-linked immune Sorbent adsorptive (ELISA). The study included 120 subjects with (60 CLpatientsL.majar and 60 CLpatients L. tropica with and (30) were healthy control. Increased mean Serum level of IL6 was in the observed in the total patients as compared to control Subjects (224.53pg/ml,70.70pg/ml), the result indicate there was significant difference at (p<0.05) ,such observation was consistent in the patient infected with L.majar and L. tropica (104 .90 pg/ml and 112.78 pg/ml) respectively. The results of the IL10 showed significant difference at (p<0.05)increased of mean Serum level in the total CL patients as compared to control Subjects(226.90 pg/ml 46.77pg/ml,).Ahighly significant difference at (p<0.05) increased observed in patients group infected with L.majar and followed by patients group infected L. tropica (112.78pg/ml and 114.12pg/ml) respectively.These results revealed that the excessive presence of cytokines might play a role in CL patients.

scholarly journals Influence of preoperative corticosteroid treatment on rate of diagnostic surgeries in primary central nervous system lymphoma: a multicenter retrospective study

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Florian Scheichel ◽  
Franz Marhold ◽  
Daniel Pinggera ◽  
Barbara Kiesel ◽  
Tobias Rossmann ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Retrospective Study ◽  
Diagnostic Delay ◽  
Central Nervous System Lymphoma ◽  
Corticosteroid Treatment ◽  
Histopathological Diagnosis ◽  
Significant Difference ◽  
The Difference ◽  
Immunocompetent Patients

Abstract Background Corticosteroid therapy (CST) prior to biopsy may hinder histopathological diagnosis in primary central nervous system lymphoma (PCNSL). Therefore, preoperative CST in patients with suspected PCNSL should be avoided if clinically possible. The aim of this study was thus to analyze the difference in the rate of diagnostic surgeries in PCNSL patients with and without preoperative CST. Methods A multicenter retrospective study including all immunocompetent patients diagnosed with PCNSL between 1/2004 and 9/2018 at four neurosurgical centers in Austria was conducted and the results were compared to literature. Results A total of 143 patients were included in this study. All patients showed visible contrast enhancement on preoperative MRI. There was no statistically significant difference in the rate of diagnostic surgeries with and without preoperative CST with 97.1% (68/70) and 97.3% (71/73), respectively (p = 1.0). Tapering and pause of CST did not influence the diagnostic rate. Including our study, there are 788 PCNSL patients described in literature with an odds ratio for inconclusive surgeries after CST of 3.3 (CI 1.7–6.4). Conclusions Preoperative CST should be avoided as it seems to diminish the diagnostic rate of biopsy in PCNSL patients. Yet, if CST has been administered preoperatively and there is still a contrast enhancing lesion to target for biopsy, surgeons should try to keep the diagnostic delay to a minimum as the likelihood for acquiring diagnostic tissue seems sufficiently high.

scholarly journals Gut microbiota composition and arterial stiffness measured by pulse wave velocity: case–control study protocol (MIVAS study)

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e038933
Author(s):  
Rita Salvado ◽  
Sandra Santos-Minguez ◽  
Cristina Agudo-Conde ◽  
Cristina Lugones-Sanchez ◽  
Angela Cabo-Laso ◽  
...  
Keyword(s):  
Arterial Stiffness ◽  
Gut Microbiota ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Intestinal Microbiota ◽  
Pulse Wave ◽  
Case Control Study ◽  
Case Control ◽  
Microbiota Composition ◽  
Control Study

IntroductionIntestinal microbiota is arising as a new element in the physiopathology of cardiovascular diseases. A healthy microbiota includes a balanced representation of bacteria with health promotion functions (symbiotes). The aim of this study is to analyse the relationship between intestinal microbiota composition and arterial stiffness.Methods and analysisAn observational case—control study will be developed. Cases will be defined by the presence of at least one of the following: carotid-femoral pulse wave velocity (cf-PWV), Cardio-Ankle Vascular Index (CAVI), brachial ankle pulse wave velocity (ba or ba-PWV) above the 90th percentile, for age and sex, of the reference population. Controls will be selected from the same population as cases. The study will be developed in Primary Healthcare Centres. We will select 500 subjects (250 cases and 250 controls), between 45 and 74 years of age. Cases will be selected from a database that combines data from EVA study (Spain) and Guimarães/Vizela study (Portugal). Measurements: cf-PWV will be measured using the SphygmoCor system, CAVI, ba-PWV and Ankle-Brachial Index will be determined using VaSera device. Gut microbiome composition in faecal samples will be determined by 16S ribosomal RNA sequencing. Lifestyle will be assessed by food frequency questionnaire, adherence to the Mediterranean diet and IPAQ (International Physical Activity Questionnaire). Body composition will be evaluated by bioimpedance.Ethics and disseminationThe study has been approved by ‘Committee of ethics of research with medicines of the health area of Salamanca’ on 14 December 2018 (cod. 2018-11-136) and the ’Ethics committee for health of Guimaraes’ (Portugal) on 15 October 2019 (ref: 67/2019). All study participants will sign an informed consent form agreeing to participate in the study, in compliance with the Declaration of Helsinki and the WHO standards for observational studies. The results of this study will allow a better description of gut microbiota in patients with arterial stiffness.Trial registration detailsClinicalTrials.gov, identifier NCT03900338

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