| Literature DB >> 21847343 |
Satya Prakash1, Laetitia Rodes, Michael Coussa-Charley, Catherine Tomaro-Duchesneau.
Abstract
The gut microbiota is a remarkable asset for human health. As a key element in the development and prevention of specific diseases, its study has yielded a new field of promising biotherapeutics. This review provides comprehensive and updated knowledge of the human gut microbiota, its implications in health and disease, and the potentials and limitations of its modification by currently available biotherapeutics to treat, prevent and/or restore human health, and future directions. Homeostasis of the gut microbiota maintains various functions which are vital to the maintenance of human health. Disruption of the intestinal ecosystem equilibrium (gut dysbiosis) is associated with a plethora of human diseases, including autoimmune and allergic diseases, colorectal cancer, metabolic diseases, and bacterial infections. Relevant underlying mechanisms by which specific intestinal bacteria populations might trigger the development of disease in susceptible hosts are being explored across the globe. Beneficial modulation of the gut microbiota using biotherapeutics, such as prebiotics, probiotics, and antibiotics, may favor health-promoting populations of bacteria and can be exploited in development of biotherapeutics. Other technologies, such as development of human gut models, bacterial screening, and delivery formulations eg, microencapsulated probiotics, may contribute significantly in the near future. Therefore, the human gut microbiota is a legitimate therapeutic target to treat and/or prevent various diseases. Development of a clear understanding of the technologies needed to exploit the gut microbiota is urgently required.Entities:
Keywords: biotherapeutics; dysbiosis; gut microbiota; human health; microencapsulation; probiotics
Year: 2011 PMID: 21847343 PMCID: PMC3156250 DOI: 10.2147/BTT.S19099
Source DB: PubMed Journal: Biologics ISSN: 1177-5475
In vitro and in vivo models of the human gut microbiota and their potentials and limitations
| Static batch system | Fresh feces or colonic contents suspended in buffer solution | Short-term metabolic and enzymatic studies | Rapid change in ecosystem composition | |
| Semicontinuous batch system | Chemostat culture system of semicontinuous flow | Long-term studies on metabolic, ecologic, and dietary fermentation | Host factors are ignored | |
| Continuous batch system | Chemostat culture system of continuous flow | Long-term studies on metabolic, ecologic, and dietary features of GI microbiota | Host factors are ignored | |
| Laboratory animals | Fresh feces or colonic contents from conventional microbiota animals | Metabolic, ecological, and preclinical studies | Differences between animals and humans gut microbiota composition | |
| Gnobiotic animals | Germ-free laboratory animals colonized with defined organisms or transferred microbiota from a laboratory animal or a human volunteer | Host-bacterial and bacterial-bacterial interaction studies | Alteration of bacterial interactions | |
| Human volunteers | Fresh feces or colonic contents from human volunteers | Metabolic, ecological, chemical, and clinical studies | Ethical issues |
Abbreviation: GI, gastrointestinal.
Available techniques for human gut microbiota characterization
| Culture-based | Defined media used to isolate bacterial populations | Quantification/characterization of isolated colonies | Bacteria uncultivable | |
| 16S rRNA sequencing | Species/strains level sequencing | Bacterial identification | Extensive data analysis | |
| DGGE | Denaturation of small PCR amplicons from extracted community DNA and gel migration | Comparative studies | PCR amplicons too small to sequence information | |
| Terminal RFLP | Denaturation of full-length 16S rRNA PCR amplicons from extracted community DNA and gel migration | Communities comparison | Limited taxonomic resolution | |
| RIS analysis | PCR amplification of IS region between 16S–23S rRNA genes hybridized to fluorescently labeled primers | Characterization of complex bacterial communities | Complex bacterial identification | |
| FISH | Hybridization of fluorescently labeled oligonucleotide probes to 16S rRNA specific of targeted bacteria | Quantification of targeted bacterial groups/species unidentified | Novel species/strains unidentified | |
| CARD-FISH | Modified FISH method: in situ amplification using horseradish peroxidase | Bacteria quantification if FISH inadequate | Novel species/strains unidentified | |
| SEM in situ hybridization | Combination of in situ hybridization and SEM | Quantification of targeted bacterial groups/species unidentified | Novel species/strains | |
| Quantitative PCR | Specific bacterial groups/species targeted from a mix culture by quantitative PCR primers | Quantitative studies of complex system | Novel species/strains unidentified | |
| DNA microarray | Set of regular arranged spots of DNA recognition elements positioned on microscopic slides | Screening of human gut microbial communities | Low detection limit |
Abbreviations: CARD, catalyzed reporter deposition; DGGE, denaturing gradient gel electrophoresis; FISH, fluorescence in situ hybridization; ISR, intergenic spacer; PCR, polymerase chain reaction; RFLP, restriction fragment length polymorphism; R, ribosomal; SEM, scanning electron microscopy.
Figure 1Main beneficial functions of the human gut microbiota. Circles represent the three principal classes of functions performed by the bacteria that inhabit the gut. Arrows represent causal relationships.
Abbreviation: SCFA, short chain fatty acid.
Imbalances of human gastrointestinal bacterial communities in human disease
| Imbalance of human gastrointestinal bacterial communities | ||
| Specific overabundance | ||
| Specific shortage | ||
| Health status | ||
| Gram negative, | Celiac disease | Gram-positive |
| Inflammatory bowel diseases | ||
| Irritable bowel syndrome | ||
| Allergic diseases | ||
| Obesity | ||
| Type 2 diabetes | ||
| Colorectal cancer | ||
Note: Each bacteria group has been shown to be related to the disease, independently of one another.
Figure 2Proposed mechanisms whereby an altered microbial balance in the gut can lead to A) an increase in immune mediated disorders and B) chronic low-grade inflammation.
Abbreviations: Th, T helper type; CD14, cluster of differentiation 14; LPS, lipopolysaccharide; TLR4, toll-like receptor 4.
Figure 3Proposed mechanism whereby an altered microbial balance in the gut can A) be driven by foreign pathogenic invasion and further increase the likelihood of future infections, and B) lead to the promotion of carcinogenesis.
Abbreviations: H2S, hydrogen sulfide; ROI, reactive oxygen intermediate.
Figure 4Proposedmechanisms by which an altered balance of the gut microbiota can lead to dysfunctional energy and lipid metabolism.
Abbreviations: AMPK, AMP-activated protein kinase; ChREBP, carbohydrate regulatory element binding protein; FIAF, fasting-induced adipose factor; GPR41, G protein-coupled receptor 41; LPL, lipoprotein lipase; PYY, protein YY; SCFA, short-chain fatty acid; SREBP1, sterol regulatory element binding protein 1.
Figure 5Computer-controlled dynamic human gastrointestinal (GI) model used for studies on the human gut microbiota. A) Schematic representation, B) photograph. vessels in series representing stomach, small intestine, ascending colon, transverse colon, and descending colon. All vessels can be continuously magnetically stirred; temperature can be controlled by the flow of hot water in the double jacketed vessel. Food can be given at a time interval and samples can be collected from any GI part at any time (eg, spent removal of the spent culture at defined intervals). This also allows for the administration of biotherapeutics, control of pH, enzyme, anerobic atmosphere and other GI parameters effecting gut microbiota.