Patients and animals with chronic kidney disease (CKD) exhibit profound alterations in the gut environment including shifts in microbial composition, increased fecal pH, and increased blood levels of gut microbe-derived metabolites (xenometabolites). The fermentable dietary fiber high amylose maize-resistant starch type 2 (HAMRS2) has been shown to alter the gut milieu and in CKD rat models leads to markedly improved kidney function. The aim of the present study was to identify specific cecal bacteria and cecal, blood, and urinary metabolites that associate with changes in kidney function to identify potential mechanisms involved with CKD amelioration in response to dietary resistant starch. Male Sprague-Dawley rats with adenine-induced CKD were fed a semipurified low-fiber diet or a high-fiber diet [59% (wt/wt) HAMRS2] for 3 wk (n = 9 rats/group). The cecal microbiome was characterized, and cecal contents, serum, and urine metabolites were analyzed. HAMRS2-fed rats displayed decreased cecal pH, decreased microbial diversity, and an increased Bacteroidetes-to-Firmicutes ratio. Several uremic retention solutes were altered in the cecal contents, serum, and urine, many of which had strong correlations with specific gut bacteria abundances, i.e., serum and urine indoxyl sulfate were reduced by 36% and 66%, respectively, in HAMRS2-fed rats and urine p-cresol was reduced by 47% in HAMRS2-fed rats. Outcomes from this study were coincident with improvements in kidney function indexes and amelioration of CKD outcomes previously reported for these rats, suggesting an important role for microbial-derived factors and gut microbe metabolism in regulating host kidney function.

Background: Integrity of the tight junction (TJ) which seals the gap between the epithelial cells of the gastrointestinal tract is critical in preventing the entry of the microbial toxins, antigens, and other harmful products in the subepithelial tissues and the internal milieu. By enabling the absorption of these products, impairment of the intestinal epithelial barrier leads to local and systemic inflammation. We have recently found depletion of the key protein constituents of colonic epithelial TJ in animals with chronic kidney disease (CKD). Postmortem studies have revealed the presence of inflammation throughout the gastrointestinal tract in uremic humans. This observation suggests that uremia may cause disruption of the epithelial barrier in all segments of the gastrointestinal tract including the stomach, jejunum, and ileum. The present study was undertaken to explore this possibility. Methods: Sprague-Dawley rats were randomized to CKD or control groups. The CKD group was subjected to 5/6 nephrectomy while the control group underwent a sham operation. The animals were observed for 10 weeks at which time they were euthanized and their stomachs, jejunums, and ileums were removed and processed for measurement of TJ proteins. Results: The CKD rats showed marked azotemia, systemic oxidative stress, and marked depletion of the key protein constituents of the epithelial TJ (claudin-1, occludin, and ZO1) in the stomach, jejunum, and ileum. Conclusions: The present study extends the earlier finding of uremia-induced disruption of colonic epithelial TJ by documenting the involvement of the stomach, jejunum, and ileum as well.

End-to-end neural dialogue generation has shown promising results recently, but it does not employ knowledge to guide the generation and hence tends to generate short, general, and meaningless responses. In this paper, we propose a neural knowledge diffusion (NKD) model to introduce knowledge into dialogue generation. This method can not only match the relevant facts for the input utterance but diffuse them to similar entities. With the help of facts matching and entity diffusion, the neural dialogue generation is augmented with the ability of convergent and divergent thinking over the knowledge base. Our empirical study on a real-world dataset proves that our model is capable of generating meaningful, diverse and natural responses for both factoid-questions and knowledge grounded chi-chats. The experiment results also show that our model outperforms competitive baseline models significantly.

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