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

Cancers ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 372 ◽  
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.

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

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
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.

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

2017 ◽  
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

ABSTRACTMotivationMicrobiome 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 therefore lie in-between them in 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 [email protected]

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

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Qi Zhang ◽  
Jing-Jing Guo ◽  
Yuen-Ming Yau ◽  
Ying-Jie Wang ◽  
Yan-Bin Cheng ◽  
...  
Keyword(s):  
16S Rdna ◽  
Stress Ulcer ◽  
Intestinal Bacteria ◽  
Mucosal Injury ◽  
Intestinal Microbiome ◽  
Good Effect ◽  
Control Group ◽  
16S Rdna Sequencing ◽  
Sequencing Technology ◽  
Rdna Sequencing

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.

Revealing the compositions of the intestinal microbiota of three Anguillid eel species using 16S rDNA sequencing

2018 ◽  
Vol 49 (7) ◽  
pp. 2404-2415 ◽  
Author(s):  
Hsiang-Yi Hsu ◽  
Fang-Chi Chang ◽  
Yu-Bin Wang ◽  
Shu-Hwa Chen ◽  
Ya-Po Lin ◽  
...  
Keyword(s):  
16S Rdna ◽  
Intestinal Microbiota ◽  
16S Rdna Sequencing ◽  
Rdna Sequencing

scholarly journals Effects of transport stress on fecal microbiota in healthy donkeys

2019 ◽  
Author(s):  
Guimiao Jiang ◽  
Xinhao Zhang ◽  
Weiping Gao ◽  
Peixiang Feng ◽  
Tao Wang ◽  
...  
Keyword(s):  
16S Rdna ◽  
Intestinal Microbiota ◽  
Fecal Microbiota ◽  
16S Rdna Sequencing ◽  
Long Distance ◽  
Intestinal Diseases ◽  
Rdna Sequencing ◽  
Before And After ◽  
Transport Stress ◽  
Bacterial Richness

Abstract Background: With the development of large-scale donkey farming in China, long-distance transportation has become a common practice, and the incidence of intestinal diseases after transportation has increased. Intestinal microbiota is important for health and disease, and whether transportation disturbs donkey intestinal microbiota has not been investigated. This study aims to determine the effects of transportation on the fecal microbiota of healthy donkeys using 16S rDNA sequencing. Results: Fecal samples were collected from the rectum of 12 Dezhou donkeys before and after transportation. Results show that long-distance transportation can induce severe stress in donkeys and result in significantly lower level of bacterial richness index compared with that before transport (p=0.042) without distinct changes in diversity. This marked decrease in specific bacterial richness, such as for Eubacterium, Streptococcus, and Coriobacteriaceae, might be associated with the restricted synthesis of anti-inflammatory cytokines and metabolites, such as short chain fatty acids (SCFAs) that potentially contribute to disease development after the transport. Conclusions: Further studies are required to understand the potential effect of these microbiota changes on the development of donkey intestinal diseases. Preventative and therapeutic measures for donkeys before and after transportation should focus on providing diverse and rich bacterial microbiota and probiotic flora. Keywords: Transport stress, Donkeys, Fecal microbiota, 16S rDNA sequencing

The effect of age and non-steroidal anti-inflammatory drugs on human intestinal microbiota composition

2009 ◽  
Vol 103 (2) ◽  
pp. 227-234 ◽  
Author(s):  
Harri Mäkivuokko ◽  
Kirsti Tiihonen ◽  
Soile Tynkkynen ◽  
Lars Paulin ◽  
Nina Rautonen
Keyword(s):  
Young Adults ◽  
16S Rdna ◽  
Intestinal Microbiota ◽  
The Elderly ◽  
Elderly Subjects ◽  
16S Rdna Sequencing ◽  
Human Intestinal Microbiota ◽  
Rdna Sequencing ◽  
Inflammatory Drugs ◽  
Anti Inflammatory

Ageing has been suggested to cause changes in the intestinal microbial community. In the present study, the microbiota of a previously well-defined group of elderly subjects aged between 70 and 85 years, both non-steroidal anti-inflammatory drugs (NSAID) users (n9) and non-users (n9), were further compared with young adults (n14) with a mean age of 28 years, by two DNA-based techniques: percentage guanine+cytosine (%G+C) profiling and 16S rDNA sequencing. Remarkable changes in microbiota were described with both methods: compared with young adults a significant reduction in overall numbers of microbes in both elderly groups was measured. Moreover, the total number of microbes in elderly NSAID users was higher than in elderly without NSAID. In 16S rDNA sequencing, shifts in all major microbial phyla, such as lower numbers of Firmicutes and an increase in numbers of Bacteroidetes in the elderly were monitored. On the genus level an interesting link between reductions in the proportion of known butyrate producers belonging toClostridiumcluster XIVa, such asRoseburiaandRuminococcus, could be demonstrated in the elderly. Moreover, in the Actinobacteria group, lower numbers ofCollinsellaspp. were evident in the elderly subjects with NSAID compared both with young adults and the elderly without NSAID, suggesting that the use of NSAID along with age may also influence the composition of intestinal microbiota. Furthermore, relatively high numbers ofLactobacillusappeared only in the elderly subjects without NSAID. In general, the lowered numbers of microbial members in the major phyla, Firmicutes, together with changes in the epithelial layer functions can have a significant effect on the colon health of the elderly.

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

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.

scholarly journals Modulation of Gut Microbiota for the Prevention and Treatment of COVID-19

2021 ◽  
Vol 10 (13) ◽  
pp. 2903
Author(s):  
Jiezhong Chen ◽  
Luis Vitetta
Keyword(s):  
Clinical Trials ◽  
Trace Elements ◽  
Gut Microbiota ◽  
Human Health ◽  
Intestinal Microbiota ◽  
Narrative Review ◽  
Bacterial Metabolites ◽  
Gut Dysbiosis ◽  
Prevention And Treatment

The gut microbiota is well known to exert multiple benefits on human health including protection from disease causing pathobiont microbes. It has been recognized that healthy intestinal microbiota is of great importance in the pathogenesis of COVID-19. Gut dysbiosis caused by various reasons is associated with severe COVID-19. Therefore, the modulation of gut microbiota and supplementation of commensal bacterial metabolites could reduce the severity of COVID-19. Many approaches have been studied to improve gut microbiota in COVID-19 including probiotics, bacterial metabolites, and prebiotics, as well as nutraceuticals and trace elements. So far, 19 clinical trials for testing the efficacy of probiotics and synbiotics in COVID-19 prevention and treatment are ongoing. In this narrative review, we summarize the effects of various approaches on the prevention and treatment of COVID-19 and discuss associated mechanisms.

PSVII-9 Influence of lactose and milk oligosaccharides in whey permeate on jejunal mucosa-associated microbiota in nursery pigs during 7 to 11 kg BW

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 407-407
Author(s):  
Ki Beom Jang ◽  
Sung Woo Kim
Keyword(s):  
Alpha Diversity ◽  
Jejunal Mucosa ◽  
16S Rdna Sequencing ◽  
Sequencing Data ◽  
Milk Oligosaccharides ◽  
Whey Permeate ◽  
Nursery Pigs ◽  
Rdna Sequencing ◽  
Acid Producing Bacteria ◽  
Diversity Estimates

Abstract This study aimed to evaluate supplemental effects of milk carbohydrates in whey permeate on jejunal mucosa-associated microbiota in nursery pigs during 7 to 11 kg BW. A total of 720 pigs at 7.5 kg BW were allotted to 6 treatments (6 pens/treatment and 20 pigs/pen). Treatments were 6 levels of whey permeate supplementation (0, 3.75, 7.50, 11.25, 15.00, and 18.75%) and fed to pigs for 11 d. On d 11, 36 pigs representing median BW of each pen were euthanized to collect the jejunal mucosa to evaluate microbiota in the jejunum by 16S rDNA sequencing. Data were analyzed using contrasts in MIXED procedure of SAS. Whey permeate contained 76.3% lactose and 0.4% milk oligosaccharides. Increasing whey permeate supplementation from 0 to 18.75% did not affect the alpha-diversity estimates of microbiota. Whey permeate supplementation tended to decrease (P = 0.073, 1.59 to 1.22) Firmicutes:Bacteroidetes compared with no addition of whey permeate. Increasing whey permeate supplementation tended to linearly increase Bifidobacteriaceae (P = 0.089, 0.73 to 1.11), decrease Enterobacteriaceae (P = 0.091, 1.04 to 0.52), decrease Stretococcaceae (P = 0.094, 1.50 to 0.71), and caused quadratic changes (P < 0.05) on Lactobacillaceae (maximum: 9.14% at 12.91% whey permeate). Increasing whey permeate supplementation caused a quadratic change (P < 0.05) on Lactobacillus_Salivarius (maximum: 0.92% at 7.35% whey permeate) and tended to cause quadratic changes on Lactobacillus_Rogosae (P = 0.083; maximum: 0.53% at 8.45% whey permeate) and Lactobacillus_Mucosae (P = 0.092; maximum: 0.70% at 6.98% whey permeate). In conclusion, supplementation of whey permeate as sources of lactose and milk oligosaccharides at a range from 7 to 13% seems to be beneficial to nursery pigs by increasing the abundance of lactic acid-producing bacteria in the jejunal mucosa.

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