Lipopolysaccharide Stimulates the Growth of Bacteria That Contribute to Ruminal Acidosis

Dai, Xiaojing; Hackmann, Timothy J.; Lobo, Richard Roberto; Faciola, A.P.

doi:10.1128/aem.02193-19

Cited by 22 publications

(23 citation statements)

References 51 publications

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“…To see if this was a problem, we compared descriptions from Bergey's Manual with those from the primary literature (journal articles). We did so for 64 species of fermentative bacteria from the cattle rumen (S2 Table), many of which we study in our lab [21][22][23][24].…”

Section: Negative Labels For Traits Are Reliablementioning

confidence: 99%

Using neural networks to mine text and predict metabolic traits for thousands of microbes

Hackmann

Zhang

2021

PLoS Comput Biol

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Microbes can metabolize more chemical compounds than any other group of organisms. As a result, their metabolism is of interest to investigators across biology. Despite the interest, information on metabolism of specific microbes is hard to access. Information is buried in text of books and journals, and investigators have no easy way to extract it out. Here we investigate if neural networks can extract out this information and predict metabolic traits. For proof of concept, we predicted two traits: whether microbes carry one type of metabolism (fermentation) or produce one metabolite (acetate). We collected written descriptions of 7,021 species of bacteria and archaea from Bergey’s Manual. We read the descriptions and manually identified (labeled) which species were fermentative or produced acetate. We then trained neural networks to predict these labels. In total, we identified 2,364 species as fermentative, and 1,009 species as also producing acetate. Neural networks could predict which species were fermentative with 97.3% accuracy. Accuracy was even higher (98.6%) when predicting species also producing acetate. Phylogenetic trees of species and their traits confirmed that predictions were accurate. Our approach with neural networks can extract information efficiently and accurately. It paves the way for putting more metabolic traits into databases, providing easy access of information to investigators.

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Section: Negative Labels For Traits Are Reliablementioning

confidence: 99%

Using neural networks to mine text and predict metabolic traits for thousands of microbes

Hackmann

Zhang

2021

PLoS Comput Biol

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“…The anti-inflammatory effects of AP had been verified in previous studies [29,30], but the effects on claw dermal cells remain unclear. It is widely accepted that the excessive production of some inflammatory mediators and chemokines are tightly related to the inflammatory injury [31].…”

Section: Discussionmentioning

confidence: 88%

Angelica polysaccharide attenuates LPS-induced inflammation response of primary dairy cow claw dermal cells via NF-κB and MAPK signaling pathways

Tian

Liu

et al. 2021

BMC Vet Res

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Background Laminitis, an inflammation of the claw laminae, is one of the major causes of bovine lameness, which can lead to enormous economic losses and animal welfare problems in dairy farms. Angelica polysaccharide (AP) is proved to possess anti-inflammatory properties. But the role of AP on inflammatory response of the claw dermal cells has not been reported. The aim of this study was to investigate the anti-inflammatory effects of AP on lipopolysaccharide (LPS)-induced primary claw dermal cells of dairy cow and clarify the potential mechanisms. In the current research, the primary claw dermal cells were exposed to gradient concentrations of AP (10, 50, 100 µg/mL) in the presence of 10 µg/mL LPS. The levels of cytokines and nitric oxide (NO) were detected with ELISA and Griess colorimetric method. The mRNA expressions of TLR4, MyD88 and chemokines were measured with qPCR. The activation of NF-κB and MAPK signaling pathways was detected with western blotting. Results The results indicated that AP reduced the production of inflammatory mediators (TNF-α, IL-1β, IL-6 and NO), downregulated the mRNA expression of TLR4, MyD88 and some pro-inflammatory chemokines (CCL2, CCL20, CXCL2, CXCL8, CXCL10), and suppressed the NF-κB and MAPK signaling pathways evidenced by inhibition of the phosphorylation of IκBα, p65 and ERK, JNK, p38. Conclusions Our results demonstrated that AP may exert its anti-inflammatory effects on claw dermal cells of dairy cow by regulating the NF-κB and MAPK signaling pathways.

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“…The anti-in ammatory effects of AP had been veri ed in previous studies [27,28], but the effects on claw dermal cells remain unclear. It is widely accepted that the excessive production of some in ammatory mediators and chemokines are tightly related to the in ammatory injury [29].…”

Section: Discussionmentioning

confidence: 94%

Angelica Polysaccharide Attenuates LPS-Induced Inflammation Response of Primary Dairy Cow Claw Dermal Cells Via NF-κB and MAPK Signaling Pathways

Tian

Liu

et al. 2021

Preprint

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Background: Laminitis, an inflammation of the claw laminae, is one of the major causes of bovine lameness, which can lead to enormous economic losses and animal welfare problems in dairy farms. Angelica polysaccharide (AP) is proved to possess anti-inflammatory properties. But the role of AP on inflammatory response of the claw dermal cells has not been reported. The aim of this study was to investigate the anti-inflammatory effects of AP on lipopolysaccharide (LPS)-induced primary claw dermal cells of dairy cow and clarify the potential mechanisms. In the current research, the primary claw dermal cells were exposed to gradient concentrations of AP (10, 50, 100 µg/mL) in the presence of 10 µg/mL LPS. The levels of cytokines and nitric oxide (NO) were detected with ELISA and Griess colorimetric method. The mRNA expressions of TLR4, MyD88 and chemokines were measured with qPCR. The activation of NF-κB and MAPK signaling pathways was detected with western blotting.Results: The results indicated that AP reduced the production of inflammatory mediators (TNF-α, IL-1β, IL-6 and NO), downregulated the mRNA expression of TLR4, MyD88 and some pro-inflammatory chemokines (CCL2, CCL20, CXCL2, CXCL8, CXCL10), and suppressed the NF-κB and MAPK signaling pathways evidenced by inhibition of the phosphorylation of IκBα, p65 and ERK, JNK, p38.Conclusions: Our results demonstrated that AP may exert its anti-inflammatory effects on claw dermal cells of dairy cow by regulating the NF-κB and MAPK signaling pathways.

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Lipopolysaccharide Stimulates the Growth of Bacteria That Contribute to Ruminal Acidosis

Cited by 22 publications

References 51 publications

Using neural networks to mine text and predict metabolic traits for thousands of microbes

Using neural networks to mine text and predict metabolic traits for thousands of microbes

Angelica polysaccharide attenuates LPS-induced inflammation response of primary dairy cow claw dermal cells via NF-κB and MAPK signaling pathways

Angelica Polysaccharide Attenuates LPS-Induced Inflammation Response of Primary Dairy Cow Claw Dermal Cells Via NF-κB and MAPK Signaling Pathways

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