Advanced searches left 3/3

16S rRNA Sequencing - Europe PMC

Summarized by Plex Scholar
Last Updated: 10 June 2022

* If you want to update the article please login/register

The Alteration of Intrauterine Microbiota in Chronic Endometritis Patients Based on 16s rRNA sequencing Analysis

"Results The alpha composition in the CE group was significantly higher than that in the non-CE group. " Actinobacteriota and Cyanobacteria in the CE group were significantly higher than those in the non-CE group. Lactobacillus abundance in all samples, which showed lower numbers in CE group than in the non-CE group, was predominant at a genus level. The distribution and dissemination of intrauterine microbiota in CE group differed from non-CE groups, with lower Lactobacillus abundance in the upper region and a larger number of Pseudomonas and Cutibacterium. This report delved into the alteration of intrauterine microbiota in CE patients, raising the diagnosis rate of CE and guiding the selection of antibiotic therapy for CE patients. ".

Source link: https://europepmc.org/article/PPR/PPR501479


Longitudinal 16S rRNA Sequencing Reveals Relationships among Alterations of Gut Microbiota and Nonalcoholic Fatty Liver Disease Progression in Mice.

"No alcoholic fatty liver disease is a common and progressive disease spectrum ranging from nonalcoholic fatty liver to nonalcoholic steatohepatitis, and yet there is no effective cure or noninvasive diagnostic strategy for NASH. " Using 16S RNA sequencing, the present study investigated longitudinal shifts of gut microbiota in the Western diet-induced murine NAFLD model. Long-term WD intervention changes microbial richness and composition in the intestine, resulting in a characteristic microbial appearance similarity to each NAFLD stage. These findings show that a core set of gut microbiome, particularly BA-related taxa, may be used as a noninvasive diagnostic tool for NAFLD and NASH. IMPORTANCE This study is focused on longitudinal changes of gut microbiota in NAFLD progression and uncovers correlations between them. These results may help to determine the role of gut microbiota in NAFLD progression and the development of novel noninvasive diagnostic tools for NAFLD based on microbial biomarkers.

Source link: https://europepmc.org/article/MED/35647690


Combined 1 H NMR fecal metabolomics and 16S rRNA gene sequencing to reveal the protective effects of Gushudan on kidney-yang-deficiency-syndrome rats via gut-kidney axis.

"Gushudan, a traditional Chinese medicine prescription with the benefits of bone building and nourishing kidney, has been used to treat osteoporosis for years. " However, the precise mechanism of GSD's kidney tonifying and intestinal microbiota changes are still uncertain. According to the investigator, GSD successfully controlled the quantities of 12 out of 31 potential metabolites and the presence of 11 out of 16 potential microbial biomarkers related to KYDS. GSD may have saved the abnormalities of gut microbial-mediated metabolites of KYDS rats, such as tryptophan, lysine, dimethylamine, creatinine, acetate, and butyrate, which were mainly involved in amino acid metabolism, methylamine metabolism, energy metabolism, and short-chain fatty acid metabolism, according to Fecal metabolomics, which are mainly involved in amino acid metabolism, methylamine metabolism, energy metabolism, metabolites GSD could be able to promote butyrate-producing bacteria g_Lachnospiraceae_K4A136_group and lactate-producing bacteria g_Lactobacillus, which could lead to butyrate-producing bacteria g_Lachno_g_Lactobacillus. Interestingly, in genus, there was a strong connection between altered fecal metabolism and perturbed intestinal microflora.

Source link: https://europepmc.org/article/MED/35623116


16S rRNA Gene Sequencing Reveals Specific Gut Microbes Common to Medicinal Insects.

"However, there are currently no studies comparing insect medicinal values with their gut microbes. " In this research, we concentrated on the specific gut microbiota common to medicinal insects, aiming to establish the potential link between medicinal values and medicinal insect gut microbes. Parabacteroides goldsteinii, Lactobacillus dextrinicus, Bifidobacterium longum subsp. We developed a scheme that used a random-forest method to preliminarily screen out several species of gut microbiota common to medicinal insects that can be useful to medicinal insects: Parabacteroides goldsteinii, Bifidobacterium longum subsp. , Bifidobacterium longum P. goldsteinii and B. infantis, for example, were most likely involved in medicinal insect anti-inflammatory properties. Our findings showed an association between medicinal insects and their gut microbes, assuaging new research directions and possibly potential tools for improving medicinal insect's medicinal efficacy.

Source link: https://europepmc.org/article/MED/35651499


Chronic exposure to polyvinyl chloride microplastics induces liver injury and gut microbiota dysbiosis based on the integration of liver transcriptome profiles and full-length 16S rRNA sequencing data.

"However, the effects of polyvinyl chloride MPs on the liver and their associated mechanism in mice are unclear. " According to the authors, liver tissue and fecal samples were subjected to RNA sequencing and full-length 16S RNA sequencing analysis. Our results showed that serum alanine aminotransferase and aspartate aminotransferase in the mice exposed to PVC-MPs were markedly higher than those in the control group, indicating hepatic injury, as shown by hepatic histopathological changes. PVC-MPs exposure reduced the relative abundance of probiotics and increased the number of conditionally pathogenic bacteria in mouse fecal samples, according to a full-length 16S RNA sequencing analysis. PVC-MPs use in mice leads to hepatotoxicity and gut microbiota dysbiosis, which can provide new insight into the potential risks of PVC-MPs to human health. ".

Source link: https://europepmc.org/article/MED/35588832


Evaluation of metagenomic, 16S rRNA gene and ultra-plexed PCR-based sequencing approaches for profiling antimicrobial resistance gene and bacterial taxonomic composition of polymicrobial samples

"Background Shotgun metagenomic sequencing is becoming more popular in taxonomic and resistome-profiling polymicrobial samples due to its agnostic quality and data versatility. Metagenomics outperformed 16S rRNA gene sequencing in correctly reconstructing a mock taxonomic profile and optimizing the identification of diverse wastewater taxa, while 16S rRNA gene sequencing yielded more taxonomic results that can be quantitatively inaccurate but increase detection of low abundance taxa. In profiling AMR genes present in a mock sample, shotgun metagenomic and AmpliSeq sequencing yielded similar results, but AmpliSeq identified more genes in more diverse, u201creal-worldu201d samples, likely indicating sensitivity to determination at the metagenomic sequencing depth used. However, our analysis shows that both the sequencing and bioinformatics approach used can have a huge effect on outcomes; for AmpliSeq AMR gene profiling, we developed AmpliSeek, which outperformed the other pipelines tested and is open source; however, our findings show that both the sequencing and bioinformatics strategy as well as the open source approach.

Source link: https://europepmc.org/article/PPR/PPR495379


Comprehensive Analysis of the Relationships Between the Gut Microbiota and Fecal Metabolome in Individuals With Primary Sjogren's Syndrome by 16S rRNA Sequencing and LC-MS-Based Metabolomics.

"We analyzed the fecal microbiota in 30 patients with pSS and 20 healthy controls, using 16S rRNA gene amplification and sequencing in 30 patients with pSS and 20 healthy controls; At the same time, ultrahigh-performance liquid chromatography-mass spectrometry revealed the fecal metabolome. We discovered that the microbiota composition of pSS patients was significantly different from that of HCs. Increased amounts of proinflammatory microbes, including Escherichia-Shigella, as well as reduced amounts of anti-inflammatory microbes are found in the pSS gut microbiota. There were some correlations between the microbiota and metabolism in pSS patients, according to the correlation study. Our analysis shows that the gut microbiota in pSS patients is characterized by a specific combination of proinflammatory changes and metabolic states. Escherichia-Shigella is a factor connected to gut dysbiosis, which can cause intestinal damage and affect amino acid metabolism.

Source link: https://europepmc.org/article/MED/35634334

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions