Biology subjects

Wolter, M.

Publications and source records attributed to Wolter, M..

3 recordsLinked to original sources

bioRxiv2021

Deprivation of dietary fiber in specific-pathogen-free mice promotes susceptibility to the intestinal mucosal pathogen Citrobacter rodentium

The change of dietary habits in Western societies, including reduced consumption of fiber, is linked to alterations in gut microbial ecology. Nevertheless, mechanistic connections between diet-induced microbiota changes that affect colonization resistance and enteric pathogen susceptibility are still emerging. We sought to investigate how a diet devoid of soluble plant fibers impacts the structure and function of a conventional gut microbiota in specific-pathogen-free (SPF) mice and how such changes alter susceptibility to a rodent enteric pathogen. We show that absence of dietary fiber intake leads to shifts in the abundances of specific taxa, microbiome-mediated erosion of the colonic mucus barrier, a reduction of intestinal barrier-promoting short-chain fatty acids, and increases in markers of mucosal barrier integrity disruption. Importantly, our results highlight that these low fiber diet-induced changes in the gut microbial ecology collectively contribute to a lethal colitis by the mucosal pathogen Citrobacter rodentium, which is used as a mouse model for enteropathogenic and enterohemorrhagic Escherichia coli (EPEC and EHEC, respectively). Our study indicates that modern, low-fiber Western diets might make individuals more prone to infection by enteric pathogens via the disruption of mucosal barrier integrity by diet-driven changes in the gut microbiota, illustrating possible implications for EPEC and EHEC infections.

microbiology↗

bioRxiv2021

Dietary modulation alters susceptibility to Listeria monocytogenes and Salmonella typhimurium in a gut microbiota-independent manner

Food safety has considerably improved worldwide, yet infections with food-borne human enteric pathogens, such as Listeria spp. and Salmonella spp., still cause numerous hospitalizations and fatalities. Thus, the need to shed more light on the mechanisms of enteropathogenesis is apparent. Since dietary alterations, including fiber deficiency, might impact the colonization resistance by the gut microbiota, studying diet-microbiota-pathogen axis holds promise in further understanding the pathogenesis mechanisms. Using a gnotobiotic mouse model containing a 14-member synthetic human gut microbiota (14SM), we have previously shown that dietary fiber deprivation promotes proliferation of mucin-degrading bacteria leading to a microbiota-mediated erosion of the colonic mucus barrier, which results in an increased susceptibility towards the rodent enteric pathogen Citrobacter rodentium. Here, we sought to understand how low-fiber diet affects susceptibility to Listeria monocytogenes and Salmonella typhimurium infections in our 14SM gnotobiotic mouse model, in BALB/c and C57BL/6N backgrounds, respectively. Intriguingly and in contrast to our results with C. rodentium, we observe that depriving mice of dietary fiber protected them from infections with the pathogens compared to mice fed a standard chow. The microbiota delayed the overall pathogenicity as compared to the onset of disease observed in germ-free control mice; nevertheless, we observe the same effect of diet in germ-free mice, suggesting that the susceptibility is microbiota independent. Our study points out an important observation that dietary fiber plays a crucial role on either the host susceptibility, the virulence of these pathogens, or both, which would be judicious to design and interpret future studies. ImportanceHuman enteric pathogens Listeria monocytogenes and Salmonella typhimurium are employed as classical models in rodent hosts to understand the pathogenesis mechanisms of food-borne pathogens. Research in the past decade has stressed importance of the composition of the gut microbiota in modulating susceptibility to these pathogens. Our results--using gnotobiotic mice and germ-free control animals--additionally suggest that the dietary fiber components dominate the impact of enteropathogenic virulence over the pathogenicity-modulating properties of the gut microbiota. The significance of our research is in the need to carefully choose a certain chow when performing the enteropathogen-associated mouse experiments and to cautiously match the rodent diets when trying to replicate experiments across different laboratories. Finally, our data underscore the importance of germ-free control animals to study these pathogens, as our findings would have been prone to misinterpretation in the absence of these controls.

microbiology↗

bioRxiv2020

Classification of complex emotions using EEG and virtual environment: proof of concept and therapeutic implication

During the last decades, neurofeedback training for emotional self-regulation has received significant attention from both the scientific and clinical communities. However, most studies have focused on broader emotional states such as "negative vs. positive", primarily due to our poor understanding of the functional anatomy of more complex emotions at the electrophysiological level. Our proof-of-concept study aims at investigating the feasibility of classifying two complex emotions that have been implicated in mental health, namely tenderness and anguish, using features extracted from the electroencephalogram (EEG) signal in healthy participants. Electrophysiological data were recorded from fourteen participants during a block-designed experiment consisting of emotional self-induction trials combined with a multimodal virtual scenario. For the within-subject classification, the linear Support Vector Machine was trained with two sets of samples: random cross-validation of the sliding windows of all trials; and 2) strategic cross-validation, assigning all the windows of one trial to the same fold. Spectral features, together with the frontal-alpha asymmetry, were extracted using Complex Morlet Wavelet analysis. Classification results with these features showed an accuracy of 79.3% on average when doing random cross-validation, and 73.3% when applying strategic cross-validation. We extracted a second set of features from the amplitude time-series correlation analysis, which significantly enhanced random cross-validation accuracy while showing similar performance to spectral features when doing strategic cross-validation. These results suggest that complex emotions show distinct electrophysiological correlates, which paves the way for future EEG-based, real-time neurofeedback training of complex emotional states. Significance statementThere is still little understanding about the correlates of high-order emotions (i.e., anguish and tenderness) in the physiological signals recorded with the EEG. Most studies have investigated emotions using functional magnetic resonance imaging (fMRI), including the real-time application in neurofeedback training. However, concerning the therapeutic application, EEG is a more suitable tool with regards to costs and practicability. Therefore, our proof-of-concept study aims at establishing a method for classifying complex emotions that can be later used for EEG-based neurofeedback on emotion regulation. We recorded EEG signals during a multimodal, near-immersive emotion-elicitation experiment. Results demonstrate that intraindividual classification of discrete emotions with features extracted from the EEG is feasible and may be implemented in real-time to enable neurofeedback.

neuroscience↗