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1.
Electron. j. biotechnol ; 43: 16-22, Jan. 2020. tab, graf
Artigo em Inglês | LILACS | ID: biblio-1087512

RESUMO

Background: The intestinal bacterial community has an important role in maintaining human health. Dysbiosis is a key inducer of many chronic diseases including obesity and diabetes. Kunming mice are frequently used as a model of human disease and yet little is known about the bacterial microbiome resident to the gastrointestinal tract. Results: We undertook metagenomic sequencing of the luminal contents of the stomach, duodenum, jejunum, ileum, cecum, colon, and rectum of Kunming mice. Firmicutes was the dominant bacterial phylum of each intestinal tract and Lactobacillus the dominant genus. However, the bacterial composition differed among the seven intestinal tracts of Kunming mice. Compared with the small intestine, the large intestine bacterial community of Kunming mice is more stable and diverse. Conclusions: To our knowledge, ours is the first study to systematically describe the gastrointestinal bacterial composition of Kunming mice. Our findings provide a better understanding of the bacterial composition of Kunming mice and serves as a foundation for the study of precision medicine.


Assuntos
Animais , Camundongos , Bactérias/isolamento & purificação , Trato Gastrointestinal/microbiologia , Bactérias/genética , RNA Ribossômico 16S , Reação em Cadeia da Polimerase , Sequenciamento de Nucleotídeos em Larga Escala , Firmicutes/isolamento & purificação , Microbioma Gastrointestinal , Lactobacillus/isolamento & purificação
2.
Gac. méd. Méx ; 155(5): 447-452, Sep.-Oct. 2019. tab, graf
Artigo em Inglês | LILACS | ID: biblio-1286541

RESUMO

Introduction: Common variable immunodeficiency (CVID) is the main symptomatic primary immunodeficiency and is associated with complex immune disorders. Gut microbiota interacts closely with the immune system, and intestinal dysbiosis is related to multiple diseases. Objective: To describe for the first time the composition of gut microbiota in Mexican patients with CVID. Methods: Fecal samples from five patients with CVID were collected and massive sequencing of the V3-V4 region of 16S rRNA gene was carried out using illumina technology. Results: Bacterial relative abundance was observed at all taxonomic levels. Firmicutes, Actinobacteria and Verrucomicrobia were the predominant phyla. The Clostridia class and the Clostridial order were the most common in their respective taxon; the Ruminococcaceae family predominated. A total of 166 genera were reported, with the most abundant being Faecalibacterium. Five species were identified, but only Bifidobacterium longum was present in all patients. Conclusions: Unlike healthy subjects' gut microbiota, where Firmicutes and Bacteroidetes predominate, the microbiota of the patients with CVID considered in this study was abundant in Firmicutes, Actinobacteria and Verrucomicrobia. The low presence of Bacteroidetes and high abundance of Firmicutes might indicate the existence of intestinal dysbiosis in these patients.


Assuntos
Humanos , Adulto , Imunodeficiência de Variável Comum/microbiologia , Microbioma Gastrointestinal/imunologia , Bactérias/classificação , RNA Ribossômico 16S/genética , Actinobacteria/isolamento & purificação , Clostridium/isolamento & purificação , Bacteroidetes/isolamento & purificação , Ruminococcus/isolamento & purificação , Fezes/microbiologia , Verrucomicrobia/isolamento & purificação , Disbiose/imunologia , Disbiose/microbiologia , Firmicutes/isolamento & purificação , Clostridiales/isolamento & purificação , Faecalibacterium/isolamento & purificação , Bifidobacterium longum/isolamento & purificação , México
3.
Electron. j. biotechnol ; 41: 72-80, sept. 2019. ilus, tab, graf
Artigo em Inglês | LILACS | ID: biblio-1087172

RESUMO

Background: Microbial community analysis of electronic waste (e-waste)-polluted environments is of interest to understand the effect of toxic e-waste pollutants on the soil microbial community and to evaluate novel microorganisms resisting the toxic environment. The present study aims to investigate the bacterial community structure in soils contaminated with e-waste from various sites of Loni and Mandoli (National Capital Region (NCR), India) where e-waste dumping and recycling activities are being carried out for many years. Results: Interferences to soil metagenomic DNA extraction and PCR amplification were observed because of the presence of inhibiting components derived from circuit boards. Whole-metagenome sequencing on the Illumina MiSeq platform showed that the most abundant phyla were Proteobacteria and Firmicutes. Deltaproteobacteria and Betaproteobacteria were the most common classes under Proteobacteria. Denaturing gradient gel electrophoresis (DGGE) analysis of the bacterial 16S rRNA gene showed that e-waste contamination altered the soil bacterial composition and diversity. There was a decrease in the number of predominant bacterial groups like Proteobacteria and Firmicutes but emergence of Actinobacteria in the contaminated soil samples. Conclusions: This is the first report describing the bacterial community structure of composite soil samples of ewaste-contaminated sites of Loni and Mandoli, Delhi NCR, India. The findings indicate that novel bacteria with potential bioremediating properties may be present in the e-waste-contaminated sites and hence need to be evaluated further.


Assuntos
Microbiologia do Solo , Bactérias/isolamento & purificação , Bactérias/genética , Resíduo Eletrônico/análise , Poluentes do Solo , Reação em Cadeia da Polimerase , Metais Pesados , Proteobactérias/isolamento & purificação , Metagenômica , Eletroforese em Gel de Gradiente Desnaturante , Microbiota , Firmicutes/isolamento & purificação , Índia
4.
Salud pública Méx ; 60(1): 5-11, Jan.-Feb. 2018. tab
Artigo em Inglês | LILACS | ID: biblio-903849

RESUMO

Abstract: Objective: To investigate the correlation among pro- or anti-inflammatory cytokines and the two main gut microbiota phyla in obese children. Materials and methods: Anthropometric data were obtained from 890 children under 14 years old to determine the degree of obesity. Serum cytokine concentration was measured by ELISA. Relative abundance of gut microbiota in feces was evaluated by quantitative Real-Time PCR assays. Results: Anthropometric and biochemical parameters were statistically higher in overweight /obese children than in lean ones. Increased TNF-α levels were found in obese children that also have a high relative abundance of Firmicutes. Conclusions: Obese children have a high relative abundance of Firmicutes that correlates with increased levels of TNF-α. This is the first study that shows a relation between Firmicute abundance and TNF-α serum concentration in obese children.


Resumen: Objetivo: Investigar la correlación entre las citocinas proinflamatorias o antiinflamatorias y los dos principales filos de la microbiota intestinal en niños obesos. Material y métodos: Se obtuvieron mediciones antropométricas de 890 niños de 6 a 14 años; posteriormente se clasificaron en normopeso y sobrepeso/obeso. Las concentraciones séricas fueron medidas por el método de ELISA. La abundancia relativa de la microbiota intestinal en heces se evaluó por PCR tiempo real. Resultados: Los parámetros bioquímicos y antropométricos fueron estadísticamente más altos en niños con sobrepeso / obesidad que en niños delgados. Se encontraron niveles más altos de FNT-α en niños obesos que también tenían una abundancia relativa alta de Firmicutes. Conclusiones: Los niños obesos tienen una alta abundancia relativa de Firmicutes, la cual se correlaciona con un incremento de los niveles de FNT-α. Este es el primer estudio que evalúa la reacción entre la abundancia de Firmicutes y la concentración sérica de FNT-α en niños obesos.


Assuntos
Humanos , Masculino , Feminino , Criança , Fator de Necrose Tumoral alfa/sangue , Obesidade Infantil/microbiologia , Obesidade Infantil/sangue , Firmicutes/isolamento & purificação , Microbioma Gastrointestinal , Bacteroides/isolamento & purificação , Glicemia/análise , Ingestão de Energia , Exercício Físico , Antropometria , Interleucinas/sangue , Fezes/microbiologia , Comportamento Alimentar , Insulina/sangue , Lipídeos/sangue
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