Effects of organic loading rate on hydrogen and volatile fatty acid production and microbial community during acidogenic hydrogenesis in a continuous stirred tank reactor using molasses wastewater

Yun, Jeonghee; Cho, Kyung‐Suk

doi:10.1111/jam.13316

Cited by 28 publications

(14 citation statements)

References 25 publications

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“…SCFAs were negatively correlated with Proteobacteria and Tenericutes , but positively correlated with Bacteroidetes and Firmicutes . In line with our results, other investigators have documented that SCFAs are positively correlated with Firmicutes ( Bacillales , Sporolactobacillus and Lactobacillus ) [33]. Moreover, it has been revealed that while Proteobateria decreased, butyrate-producing bacteria ( Lactobacillus and Prevotella ) increased in fermented soybean meal fed piglets, implying that Proteobateria and butyrate concentration have negative correlation [34].…”

Section: Discussionsupporting

confidence: 91%

Antibiotics induced intestinal tight junction barrier dysfunction is associated with microbiota dysbiosis, activated NLRP3 inflammasome and autophagy

et al. 2019

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Tight junction barrier is critical to intestinal homeostasis. Applying antibiotics to treat infections is common in clinical practice, which may affect intestinal microbiota. Intestinal microbiota dysbiosis is involved in the occurrence of some gastrointestinal diseases. Therefore, this study was aimed to investigate the influence of antibiotics on intestinal tight junction barrier and the possible underlying mechanisms. Healthy adult female C57BL/6 mice were treated with a broad-spectrum antibiotic cocktail for 14 days. 16S rDNA Illumina sequencing and headspace gas chromatography-mass spectrometry (HS-GC/MS) were respectively used to analyze microbial community and to detect short-chain fatty acids (SCFAs) contents. In vivo intestinal paracellular permeability to fluorescein isothiocyanate-dextran (FITC-dextran) was measured. Protein expression was determined by immunoblotting. Immunofluoresence was applied to observe the distributions of ZO-1, LC3B and ASC. Antibiotics remarkably altered intestinal microbiota composition in healthy mice, accompanying reduced SCFAs’ concentrations. In addition, the intestinal tight junction barrier was disrupted by antibiotic treatment, as evidenced by increased intestinal paracellular permeability to FITC-dextran, decreased tight junction protein expressions, and disrupted ZO-1 morphology. Furthermore, NLRP3 inflammasome and autophagy were activated by antibiotic treatment. In conclusion, intestinal epithelial tight junction barrier dysfunction induced by antibiotics is associated with intestinal microbiota dysbiosis, activated NLRP3 inflammasome and autophagy in mice.

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Section: Discussionsupporting

confidence: 91%

Antibiotics induced intestinal tight junction barrier dysfunction is associated with microbiota dysbiosis, activated NLRP3 inflammasome and autophagy

et al. 2019

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“…It has been documented that Ruminococcaceae can produce acetate [42], and Lactobacillus is able to produce lactate which can be utilized by the bacteria belonging to the Clostridial cluster XIVa to produce butyrate [43]. Besides, the contents of acetate, butyrate, and propionate have been reported to be positively correlated with lactic acid bacteria such as Bacillales , Sporolactobacillus , and Lactobacillus [35]. Thus, our present data, which shows the correlations between bacteria species and SCFAs contents, may provide some implications for understanding the association between intestinal microbiota composition and SCFAs production after severe burn injury.…”

Section: Discussionmentioning

confidence: 99%

Severe burn injury alters intestinal microbiota composition and impairs intestinal barrier in mice

et al. 2019

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Background The intestinal barrier integrity is crucial for maintaining intestinal homeostasis, and the mechanisms of intestinal barrier disruption induced by burn injury remain obscure. This study was aimed to investigate the changes of intestinal microbiota and barrier function in burned mice to further comprehend the mechanisms of burn-induced intestinal barrier dysfunction. Methods Samples were from mice inflicted with 30% total body surface area (TBSA) full-thickness burns. The intestinal permeability, tight junction proteins expressions, zonula occludens-1 (ZO-1) localization, inflammatory cytokines expressions, and short-chain fatty acids (SCFAs) contents were determined. The microbial community was assessed via 16S rDNA Illumina sequencing. Results The intestinal permeability was increased after severe burn injury, peaking at 6 h post-burn, with approximately 20-folds of the control (p < 0.001). The expression of tight junction proteins (ZO-1, occludin, claudin-1, and claudin-2) was significantly altered (p < 0.05). The ZO-1 morphology was dramatically changed following burn injury. The fecal SCFAs’ contents (acetate, propionate, butyrate, isobutyrate, and isovalerate) were noticeably declined after burn injury (p < 0.05). The expressions of pro-inflammatory cytokines (interleukin (IL)-1β and IL-6) in ileal mucosa were increased, whereas the expressions of anti-inflammatory cytokines (IL-4 and IL-13) were decreased following burn injury (p < 0.05). In addition, burned mice showed an alteration of intestinal microbial community, such as decreased diversity, reduced Bacteroidetes abundance, and increased Firmicutes abundance. Conclusions The severe burn-induced intestinal barrier dysfunction is along with the alterations of microbial community.

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“…An agglomeration step will filter out noise induced by these phylogenetic similarities, while revealing conserved interactions at higher taxonomic levels. As an example, Yun and Cho ( 2016 ) visualized how specific orders correlated to environmental factors and showed how different communities were associated with certain metabolites. If researchers are interested in highly conserved cross-feeding interactions (e.g.…”

Section: Network Interpretation Benefits From Data Integrationmentioning

confidence: 99%

From hairballs to hypotheses–biological insights from microbial networks

Röttjers

Faust

2018

FEMS Microbiology Reviews

459

456

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Microbial networks are an increasingly popular tool to investigate microbial community structure, as they integrate multiple types of information and may represent systems-level behaviour. Interpreting these networks is not straightforward, and the biological implications of network properties are unclear. Analysis of microbial networks allows researchers to predict hub species and species interactions. Additionally, such analyses can help identify alternative community states and niches. Here, we review factors that can result in spurious predictions and address emergent properties that may be meaningful in the context of the microbiome. We also give an overview of studies that analyse microbial networks to identify new hypotheses. Moreover, we show in a simulation how network properties are affected by tool choice and environmental factors. For example, hub species are not consistent across tools, and environmental heterogeneity induces modularity. We highlight the need for robust microbial network inference and suggest strategies to infer networks more reliably.

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Effects of organic loading rate on hydrogen and volatile fatty acid production and microbial community during acidogenic hydrogenesis in a continuous stirred tank reactor using molasses wastewater

Abstract: Microbial information on hydrogen and VFA production can be useful to design and operate for acidogenic hydrogenesis using high strength molasses wastewater.

Cited by 28 publications

References 25 publications

Antibiotics induced intestinal tight junction barrier dysfunction is associated with microbiota dysbiosis, activated NLRP3 inflammasome and autophagy

Antibiotics induced intestinal tight junction barrier dysfunction is associated with microbiota dysbiosis, activated NLRP3 inflammasome and autophagy

Severe burn injury alters intestinal microbiota composition and impairs intestinal barrier in mice

From hairballs to hypotheses–biological insights from microbial networks

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