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1.
J Sci Food Agric ; 103(3): 1273-1282, 2023 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-36088620

RESUMEN

BACKGROUND: The gut microbiota (GM) plays an important role in human health and is being investigated as a possible target for new therapies. Although there are many studies showing that emodin can improve host health, emodin-GM studies are scarce. Here, the effects of emodin on the GM were investigated in vitro and in vivo. RESULTS: In vitro single bacteria cultivation showed that emodin stimulated the growth of beneficial bacteria Akkermansia, Clostridium, Roseburia, and Ruminococcus but inhibited major gut enterotypes (Bacteroides and Prevotella). Microbial community analysis from a synthetic gut microbiome model through co-culture indicated the consistent GM change by emodin. Interestingly, emodin stimulated Clostridium and Ruminococcus (which are related to Roseburia and Faecalibacterium) in a mice experiment and induced anti-inflammatory immune cells, which may correlate with its impact on specific gut bacteria. CONCLUSION: Emodin (i) showed similar GM changes in monoculture, co-culture, and in an in vivo mice experiment and (ii) simulated regulatory T-cell immune responses in vivo. This suggest that emodin may be used to modulate the GM and improve health. © 2022 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.


Asunto(s)
Emodina , Microbioma Gastrointestinal , Microbiota , Humanos , Animales , Ratones , Emodina/farmacología , Alimentos , Bacterias/genética , Clostridiales
2.
J Microbiol Methods ; 191: 106351, 2021 12.
Artículo en Inglés | MEDLINE | ID: mdl-34710513

RESUMEN

Human gut surface-attached mucosal microbiota plays significant roles in human health and diseases. This study sought to simulate the mucosal environment using mucin-agar gel and synthetic mucosal microbial community in vitro. To select suitable culture media, microbial communities were assembled and cultured in seven different media at 37 °C for 36 h. Among the seven media, Bryant & Burkey (BB) and Gifu Anaerobic Media (GAM) were selected considering their microbial biomass and bacterial composition. The communities were again assembled and cultured in these two media with mucin-agar. The results showed that some bacterial genus such as Bifidobacterium, Collinsella, and Roseburia could efficiently colonize in the solid mucin-agar part while Enterococcus, Clostridium, and Veilonella dominated in the liquid part. Metabolic functional prediction for the microbial community in each medium part showed that the gene expression involved in metabolism and cell motility pathways were distinctively differentiated between the liquid and solid medium part, and the functional potential was highly related to the microbial composition. The current results demonstrate that the simulation of the gut microbial ecosystem in vitro can be beneficial to the mucosal environment mimicking and the study on the mechanistic potential of the human gut microbiota for easy translation of microbiome research to therapies.


Asunto(s)
Técnicas Bacteriológicas/métodos , Simulación por Computador , Ecosistema , Microbioma Gastrointestinal , Membrana Mucosa/microbiología , Agar , Biomasa , Medios de Cultivo/química , Pruebas Diagnósticas de Rutina , Enterococcus , Microbioma Gastrointestinal/genética , Expresión Génica , Técnicas Genéticas , Humanos , Microbiota , Mucinas
3.
PLoS Comput Biol ; 17(2): e1008640, 2021 02.
Artículo en Inglés | MEDLINE | ID: mdl-33630830

RESUMEN

With more microbiome studies being conducted by African-based research groups, there is an increasing demand for knowledge and skills in the design and analysis of microbiome studies and data. However, high-quality bioinformatics courses are often impeded by differences in computational environments, complicated software stacks, numerous dependencies, and versions of bioinformatics tools along with a lack of local computational infrastructure and expertise. To address this, H3ABioNet developed a 16S rRNA Microbiome Intermediate Bioinformatics Training course, extending its remote classroom model. The course was developed alongside experienced microbiome researchers, bioinformaticians, and systems administrators, who identified key topics to address. Development of containerised workflows has previously been undertaken by H3ABioNet, and Singularity containers were used here to enable the deployment of a standard replicable software stack across different hosting sites. The pilot ran successfully in 2019 across 23 sites registered in 11 African countries, with more than 200 participants formally enrolled and 106 volunteer staff for onsite support. The pulling, running, and testing of the containers, software, and analyses on various clusters were performed prior to the start of the course by hosting classrooms. The containers allowed the replication of analyses and results across all participating classrooms running a cluster and remained available posttraining ensuring analyses could be repeated on real data. Participants thus received the opportunity to analyse their own data, while local staff were trained and supported by experienced experts, increasing local capacity for ongoing research support. This provides a model for delivering topic-specific bioinformatics courses across Africa and other remote/low-resourced regions which overcomes barriers such as inadequate infrastructures, geographical distance, and access to expertise and educational materials.


Asunto(s)
Biología Computacional/educación , Biología Computacional/métodos , ARN Ribosómico 16S , Programas Informáticos , África , Algoritmos , Curriculum , Genoma Humano , Geografía , Humanos , Microbiota
4.
Am J Trop Med Hyg ; 104(2): 474-477, 2020 12 21.
Artículo en Inglés | MEDLINE | ID: mdl-33350369

RESUMEN

Human genetics research and applications are rapidly growing areas in health innovations and services. African populations are reported to be highly diverse and carry the greatest number of variants per genome. Exploring these variants is key to realize the genomic medicine initiative. However, African populations are grossly underrepresented in various genomic databases, which has alerted scientists to address this issue with urgency. In Tanzania, human genetics research and services are conducted in different institutions on both communicable and noncommunicable diseases. However, there is poor coordination of the research activities, often leading to limited application of the research findings and poor utilization of available resources. In addition, contributions from Tanzanian human genetics research and services are not fully communicated to the government, national, and international communities. To address this scientific gap, the Tanzania Society of Human Genetics (TSHG) has been formed to bring together all stakeholders of human genetics activities in Tanzania and to formally bring Tanzania as a member to the African Society of Human Genetics. This article describes the inauguration event of the TSHG, which took place in November 2019. It provides a justification for its establishment and discusses presentations from invited speakers who took part in the inauguration of the TSHG.


Asunto(s)
Investigación Biomédica/organización & administración , Genómica/organización & administración , Genética Humana/organización & administración , Congresos como Asunto , Humanos , Sociedades Científicas/organización & administración , Tanzanía
5.
BMC Microbiol ; 16(1): 145, 2016 07 11.
Artículo en Inglés | MEDLINE | ID: mdl-27400733

RESUMEN

BACKGROUND: Multiple types of solid waste in developing countries is disposed of together in dumpsites where there is interaction between humans, animals and the bacteria in the waste. To study the bacteria at the dumpsite and the associated risks, previous studies have focused on culturable, leaving behind a great number of unculturable bacteria. This study focuses on a more comprehensive approach to study bacteria at the dumpsite. Since the site comprised of unsorted wastes, a qualitative survey was first performed to identify the variety of solid waste as this has influence on the microbial composition. Thus, domestic (Dom), biomedical (Biom), river sludge (Riv), and fecal material of pigs scavenging on the dumpsite (FecD) were sampled. Total DNA was extracted from 78 samples and the v4-16S rRNA amplicons was characterized using an Illumina MiSeq platform. RESULTS: A total of 8,469,294 sequences passed quality control. Catchall analysis predicted a mean of 8243 species per sample. Diversity was high with an average InvSimpson index of 44.21 ± 1.44. A total of 35 phyla were detected and the predominant were Firmicutes (38 %), Proteobacteria (35 %), Bacteroidetes (13 %) and Actinobacteria (3 %). Overall 76,862 OTUs were detected, however, only 20 % were found more than 10 times. The predominant OTUs were Acinetobacter (12.1 %), Clostridium sensu stricto (4.8 %), Proteinclasticum and Lactobacillus both at (3.4 %), Enterococcus (2.9 %) and Escherichia/Shigella (1.7 %). Indicator analysis (P ≤ 0.05, indicator value ≥ 70) shows that Halomonas, Idiomarina, Tisierella and Proteiniclasticum were associated with Biom; Enterococcus, Bifidobacteria, and Clostridium sensu stricto with FecD and Flavobacteria, Lysobacter and Commamonas to Riv. Acinetobacter and Clostridium sensu stricto were found in 62 % and 49 % of all samples, respectively, at the relative abundance of 1 %. None of OTUs was found across all samples. CONCLUSIONS: This study provides a comprehensive report on the abundance and diversity bacteria in municipal dumpsite. The species richness reported here shows the complexity of this man-made ecosystem and calls for further research to assess for a link between human diseases and the dumpsite. This would provide insight into proper disposal of the waste, as well as, limit the risks to human health associated with the dumpsite.


Asunto(s)
Bacterias/clasificación , Bacterias/genética , ARN Ribosómico 16S/genética , Instalaciones de Eliminación de Residuos , Animales , Biodiversidad , ADN Bacteriano , Heces/microbiología , Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Consorcios Microbianos/genética , Filogenia , Análisis de Secuencia , Aguas del Alcantarillado/microbiología , Residuos Sólidos , Porcinos/microbiología , Tanzanía
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