Effect of Huanglian Decoction on the Intestinal Microbiome in Stress Ulcer (SU) Mice

Background. Stress ulcer (SU) is a serious gastrointestinal mucosal lesion under acute stress. Huanglian decoction is a famous traditional Chinese medicine prescription, which has been used to treat digestive system diseases for thousands of years. Many clinical cases have proved that Huanglian decoction has a good effect on SU. Some studies have shown that the intestinal bacteria will be changed accordingly when the gastrointestinal mucosa is damaged. However, there are few published reports on the effect of the intestinal microbiome with SU mice that were treated by Huanglian decoction. In this study, we investigated the effect of the fecal microbiome in mice with SU by the 16S rDNA sequencing technology. Methods. Male KM mice were induced by cold-restraint stress except for the normal control group and then treated by Huanglian decoction (Group HD) and Esomeprazole magnesium solution (Group ES) separately for 7 days. 16S rDNA sequencing technology analysis was applied to evaluate the changes of bacterial flora in mice feces. And, histopathological methods and molecular biological detection methods were also performed. Results. Huanglian decoction could help to repair the gastric mucosal injury and regulate the relative content of TNF-α and IL-1β. Moreover, Huanglian decoction could increase the relative abundance of intestinal probiotics in the intestine of mice with SU, especially in Verrucomicrobiae and Akkermansia. Conclusions. Huanglian decoction might effectively promote the repair of gastrointestinal mucosal injury and regulate the number and species of intestinal bacteria to maintain the stability of gastrointestinal microecology.

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Effect of Moxibustion on Intestinal Microbiome in Acute Gastric Ulcer Rats

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2019/6184205 ◽

2019 ◽

Vol 2019 ◽

pp. 1-10

Author(s):

Qi-da He ◽

Miao-sen Huang ◽

Long-bin Zhang ◽

Jia-cheng Shen ◽

Lin-yu Lian ◽

...

Keyword(s):

Gastric Ulcer ◽

Mucosal Injury ◽

Relative Content ◽

Gastric Mucosal Injury ◽

Intestinal Microbiome ◽

16S Rdna Sequencing ◽

Beneficial Bacteria ◽

Sequencing Technology ◽

Rdna Sequencing ◽

Stomach Meridian

In Traditional Chinese Medicine (TCM), moxibustion had been used for thousands of years. Many clinical case reports and scientific studies had proved that moxibustion had a good effect in treating acute gastric ulcer (AGU). Some studies had shown that the relative content and species of bacteria in the intestinal would be changed when gastric mucosal injury happened. However, there was little research on the effect of intestinal microbiome with AGU rats that were treating by moxibustion. This study is aimed at analyzing the effect of fecal microbiome in rats with AGU by the 16S rDNA sequencing technology. Male SD rats were established by orally feeding once with 70% ethanol at 4 ml/kg except the control group, then treated by moxibustion in the stomach meridian group (“Liangmen,” “Zusanli”) and the gallbladder meridian group (“Riyue,” “Yanglingquan”) for 5 days. The 16S rDNA sequencing technology analysis of feces combined with histopathological methods and molecular biological detection methods was used to evaluate the therapeutic mechanism of moxibustion on AGU. AGU brought cause changes in the number and species of intestinal bacteria. Moxibustion on stomach meridian group could reduce the area of gastric mucosal injury and regulate the relative content of GAS and EGF. Moreover, moxibustion on the stomach meridian group could increase the relative content and species of beneficial bacteria in the intestine of rats with AGU. The relative abundance of intestinal probiotics was significantly upregulated in Alphaproteobacteria, Actinomycetales, and Bacillales. In addition, moxibustion might promote the repair of gastric mucosal injury by increasing the number and species of beneficial bacteria in the intestine.

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Application of 16S rDNA Sequencing Technology in the Analysis of Pathogenic Bacteria in Sputum of Severe Pneumonia

Advances in Microbiology ◽

10.4236/aim.2021.113011 ◽

2021 ◽

Vol 11 (03) ◽

pp. 157-164

Author(s):

Jun Zheng ◽

Juan Zhu ◽

Bin Chen ◽

Lingxiu Chen ◽

Tian Gao ◽

...

Keyword(s):

16S Rdna ◽

Pathogenic Bacteria ◽

Severe Pneumonia ◽

16S Rdna Sequencing ◽

Sequencing Technology ◽

Rdna Sequencing

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Foes or Friends? Bacteria Enriched in the Tumor Microenvironment of Colorectal Cancer

Cancers ◽

10.3390/cancers12020372 ◽

2020 ◽

Vol 12 (2) ◽

pp. 372 ◽

Cited By ~ 4

Author(s):

Xu ◽

Yin ◽

Zhang ◽

Lv ◽

Yang ◽

...

Keyword(s):

Colorectal Cancer ◽

Tumor Microenvironment ◽

Human Health ◽

16S Rdna ◽

Intestinal Microbiota ◽

Intestinal Bacteria ◽

16S Rdna Sequencing ◽

Sequencing Data ◽

Rdna Sequencing ◽

Prevention And Treatment

Colorectal cancer (CRC) is the second most commonly diagnosed cancer and the third cause of cancer death in the world, while intestinal microbiota is a community of microbes living in human intestine that can potentially impact human health in many ways. Accumulating evidence suggests that intestinal microbiota, especially that from the intestinal bacteria, play a key role in the CRC development; therefore, identification of bacteria involved in CRC development can provide new targets for the CRC diagnosis, prevention, and treatment. Over the past decade, there have been considerable advances in applying 16S rDNA sequencing data to verify associated intestinal bacteria in CRC patients; however, due to variations of individual and environment factors, these results seem to be inconsistent. In this review, we scrutinized the previous 16S rDNA sequencing data of intestinal bacteria from CRC patients, and identified twelve genera that are specifically enriched in the tumor microenvironment. We have focused on their relationship with the CRC development, and shown that some bacteria could promote CRC development, acting as foes, while others could inhibit CRC development, serving as friends, for human health. Finally, we highlighted their potential applications for the CRC diagnosis, prevention, and treatment.

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Metabolite fingerprinting of novel Streptomyces UK-238 from the Himalayan forest

Current Pharmaceutical Analysis ◽

10.2174/1573412916666200206160836 ◽

2020 ◽

Vol 16 ◽

Author(s):

Nidhi Srivastava ◽

Indira P. Sarethy

Keyword(s):

Ethyl Acetate ◽

16S Rdna ◽

Retention Index ◽

Ethyl Acetate Extract ◽

Similarity Index ◽

Antimicrobial Drug ◽

16S Rdna Sequencing ◽

Metabolite Fingerprinting ◽

Streptomyces Sp ◽

Rdna Sequencing

Aims: Characterization of antimicrobial metabolites of novel Streptomyces sp. UK-238. Background: Novel antimicrobial drug discovery is urgently needed due to emerging multi antimicrobial drug resistance among pathogens. Since many years, natural products have provided the basic skeletons for many therapeutic compounds including antibiotics. Bioprospection of un/under explored habitats and focussing on selective isolation of actinobacteria as major reservoir of bio and chemodiversity has yielded good results. Objective: The main objectives of the study were the identification of UK-238 by 16S rDNA sequencing and antimicrobial metabolite fingerprinting of culture extracts. Method: In the present study, a promising isolate, UK-238, has been screened for antimicrobial activity and metabolite fingerprinting from the Himalayan Thano Reserve forest. It was identified by 16S rDNA sequencing. Ethyl acetate extract was partially purified by column chromatography. The pooled active fractions were fingerprinted by GC-MS and compounds were tentatively identified by collated data analysis based on Similarity Index, observed Retention Index from Databases and calculated Retention Index. Results: UK-238 was identified as Streptomyces sp. with 98.4% similarity to S. niveiscabiei. It exhibited broad-spectrum antibacterial and antifungal activity. GC-MS analysis of active fractions of ethyl acetate extract showed the presence of eighteen novel antimicrobial compounds belonging to four major categories- alcohols, alkaloid, esters and peptide. Conclusion: The study confirms that bioprospection of underexplored habitats can elaborate novel bio and chemodiversity.

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2-Way k-Means as a Model for Microbiome Samples

Journal of Healthcare Engineering ◽

10.1155/2017/5284145 ◽

2017 ◽

Vol 2017 ◽

pp. 1-7 ◽

Cited By ~ 1

Author(s):

Weston J. Jackson ◽

Ipsita Agarwal ◽

Itsik Pe’er

Keyword(s):

Unsupervised Learning ◽

16S Rdna ◽

Mixture Model ◽

Vaginal Microbiome ◽

16S Rdna Sequencing ◽

Sequencing Data ◽

Cluster Assignment ◽

Rdna Sequencing

Motivation. Microbiome sequencing allows defining clusters of samples with shared composition. However, this paradigm poorly accounts for samples whose composition is a mixture of cluster-characterizing ones and which therefore lie in between them in the cluster space. This paper addresses unsupervised learning of 2-way clusters. It defines a mixture model that allows 2-way cluster assignment and describes a variant of generalized k-means for learning such a model. We demonstrate applicability to microbial 16S rDNA sequencing data from the Human Vaginal Microbiome Project.

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Evaluation of MALDI-TOF mass spectrometry and MALDI BioTyper in comparison to 16S rDNA sequencing for the identification of bacteria isolated from Arctic sea water

PLoS ONE ◽

10.1371/journal.pone.0181860 ◽

2017 ◽

Vol 12 (7) ◽

pp. e0181860 ◽

Cited By ~ 19

Author(s):

Anna Maria Timperio ◽

Susanna Gorrasi ◽

Lello Zolla ◽

Massimiliano Fenice

Keyword(s):

Mass Spectrometry ◽

16S Rdna ◽

Sea Water ◽

16S Rdna Sequencing ◽

Maldi Tof Mass Spectrometry ◽

Maldi Tof ◽

Rdna Sequencing ◽

Arctic Sea ◽

Maldi Biotyper ◽

Identification Of Bacteria

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Analysis of the bacterial floral structure and diversity of Xuanwei ham by 16S rDNA sequencing

Journal of Food Safety ◽

10.1111/jfs.12800 ◽

2020 ◽

Vol 40 (4) ◽

Author(s):

Luying Shan ◽

Yinjiao Li ◽

Shi Zheng ◽

Yuanmiao Wei ◽

Ying Shang

Keyword(s):

16S Rdna ◽

16S Rdna Sequencing ◽

Floral Structure ◽

Rdna Sequencing

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ISOLATION, PURIFICATION, AND CHARACTERIZATION OF LIPASE FROM BACILLUS SP. FROM KITCHEN GREASE

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2018.v11i6.24955 ◽

2018 ◽

Vol 11 (6) ◽

pp. 224

Author(s):

Jaiganesh R ◽

Jaganathan Mk

Keyword(s):

16S Rdna ◽

Solvent Tolerance ◽

16S Rdna Sequencing ◽

Bacillus Sp ◽

Purification And Characterization ◽

Lipase Enzyme ◽

Sequencing Method ◽

Rdna Sequencing ◽

Solvent Tolerant

Objective: The objective of this work was to isolation, purification and characterization of solvent tolerant lipase from Bacillus sp. The objective of this work was to isolation, purification and characterization of solvent tolerant lipase from Bacillus sp. from kitchen grease for a variety of applications including organic synthetic reactions and preparation of enantiomerically pure pharmaceuticals.Methods: Lipase producing isolates were screened from kitchen grease on a selective medium rhodamine B olive oil agar, and tributyrin agar was used to screen the lipase and esterase producing an organism, respectively. The isolate identified using 16S rDNA sequencing method and enzyme activity was quantitatively assayed. Lipase production was characterized in different conditions.Results: The isolate showed highest lipase activity was which later was identified as Bacillus sp. using 16S rDNA sequencing method. The lipase was purified using ammonium sulfate precipitation. The isolate showed excellent tolerance to methanol, ethanol, acetonitrile, and moderate tolerance to butanol. The increased biomass concentration, maximum production, and activity were achieved at 37°C in 24 h incubation, then gradual reduction in production was observed. The maximum activity of lipase enzyme was obtained at pH between 6 and 9.Conclusion: The isolate produce solvent tolerance lipase enzyme and it can be a promising candidate of solvent tolerance lipase enzyme for variety of industrial applications.

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Vaginal Microbiota Diversity of Patients with Embryonic Miscarriage by Using 16S rDNA High-Throughput Sequencing

International Journal of Genomics ◽

10.1155/2020/1764959 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Linfen Xu ◽

Lingna Huang ◽

Chengying Lian ◽

Huili Xue ◽

Yanfang Lu ◽

...

Keyword(s):

Pregnant Women ◽

16S Rdna ◽

High Throughput Sequencing ◽

Interleukin 2 ◽

Life Quality ◽

Control Group ◽

Operational Taxonomic Units ◽

Causative Relationship ◽

Rdna Sequencing ◽

And Control

Embryonic miscarriage severely affects the life quality and physical and mental state of pregnant women. However, the detailed mechanism underlying embryonic miscarriage is not fully understood. This study is aimed at analyzing embryonic miscarriage. We collected samples from 25 normal pregnant women and 25 embryonic miscarriage patients of similar age to analyze microbiota isolated from the vagina. Crude examination of the vagina isolates showed that compared with the control group, 80% of the embryonic miscarriage group contained a significantly lower number of Lactobacillus, the major healthy microbe in the vagina. Furthermore, the levels of Th1 and Th2 secreted cytokine interleukin 2 (IL-2) and interleukin10 (IL-10), respectively, were examined. Results showed that the IL2 level was higher, and IL10 level was lower in the embryonic miscarriage group than in the control group, whereas the IL2/IL10 level was higher in the embryonic miscarriage group than in the control group. This finding suggested that the immune response was suppressed in the embryonic miscarriage group. To further dissect the microbiota of the vagina in the two groups, 16S rDNA sequencing was performed. Bioinformatics analysis showed that 1096 and 998 overlapped operational taxonomic units were identified from the embryonic miscarriage and control groups, respectively. At the genus level, the relative abundance of Fam_Finegoldia, Lac_Coprococcus_3, and Lac_Roseburia significantly differed in the embryonic miscarriage group. Overall, our analyses provided potential biomarkers for embryonic miscarriage and elucidated the causative relationship between microbiota and immune responses and may enable the possible diagnosis and therapeutics of early pregnancy loss.

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