| Literature DB >> 23594389 |
Pieter Van den Abbeele1, Willy Verstraete, Sahar El Aidy, Annelies Geirnaert, Tom Van de Wiele.
Abstract
Accumulating evidence demonstrates the intimate association between human hosts and the gut microbiome. Starting at birth, the sterile gut of the newborn acquires a diverse spectrum of microbes, needed for immunological priming. However, current practices (caesarean sections, use of formula milk) deprive newborns from being exposed to this broad spectrum of microbes. Unnecessary use of antibiotics and excessive hygienic precautions (e.g. natural versus chlorinated drinking water) together with the Western diet further contribute to a decreased microbial diversity in the adult gut. This has been correlated with recurrent Clostridium difficile infection, inflammatory bowel diseases and obesity, among others. A healthy gut microbiome is thus characterized by a diverse network of metabolically interacting microbial members. In this context, we review several existing and novel approaches to manage the gut microbiome. First, prebiotic compounds should be re-defined in the sense that they should enhance the ecological biodiversity rather than stimulating single species. Recent studies highlight that structurally different polysaccharides require specific primary degraders but also enhance a similar network of secondary degraders that benefit from cross-feeding. A faecal transplantation is a second approach to restore biodiversity when the microbiota is severely dysbiosed, with promising results regarding C. difficile-associated disease and obesity-related metabolic syndromes. A final strategy is the introduction of key microbial network units, i.e. pre-organized microbial associations, which strengthen the overall microbial network of the gut microbiome that supports human health.Entities:
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Year: 2013 PMID: 23594389 PMCID: PMC3917468 DOI: 10.1111/1751-7915.12049
Source DB: PubMed Journal: Microb Biotechnol ISSN: 1751-7915 Impact factor: 5.813
Figure 1Changes in the gut microbiome over the course of a human lifespan. After drastic changes in early childhood, the gut microbiota stabilizes to an adult microbial composition. During the elderly and acute or chronic diseases, specific states of dysbiosis have been documented. Future ecosystem approaches to restore intestinal imbalances may thus target four distinct populations (A: newborns; B: young adults; C: diseased subjects; D: elderly).
Figure 2The stepwise release of carbohydrate-derived energy by gut microorganisms can be compared by a meandering river in which the water potential energy is gradually lowered. Such an environment creates many functional niches thereby selecting for a high microbial diversity, similar to a high biological diversity in meandering river ecosystem. Shortcuts through microbial metabolic meanders in the human gut can be compared with the canalization of a meandering river. Such environment entails a limited amount of functional niches thereby selecting for a limited microbial diversity.
Complex polysaccharides that arrive in the colon [such as long-chain arabinoxylans (LC-AX) or inulin (IN)] increase the abundance of specific primary degraders but importantly, they also increase a similar cohort of secondary degraders that benefit through cross-feeding. This increases the microbial diversity of the human microbiome.
| Percentual abundance (%) | ||||
|---|---|---|---|---|
| Higher taxonomic group | Bacterial group | Control | LC-AX | IN |
| 0.50 ± 0.06a | 1.44 ± 0.37b | 1.59 ± 0.29b | ||
| 0.62 ± 0.04a | 3.20 ± 0.10b | 3.65 ± 0.37b | ||
| 1.63 ± 0.27a | 3.36 ± 0.17b | 3.23 ± 0.21b | ||
| 0.96 ± 0.16a | 4.72 ± 0.36b | 5.95 ± 0.69b | ||
| 0.98 ± 0.11a | 2.54 ± 0.18b | 3.16 ± 0.19c | ||
| 1.06 ± 0.21a | 2.72 ± 0.60ab | 3.11 ± 0.47b | ||
| 0.54 ± 0.05a | 4.43 ± 1.10b | 5.90 ± 1.11b | ||
This table contains an example of such a cohort of secondary degraders, as identified during a study with humanized rats, treated with LC-AX or IN Van den Abbeele et al., 2011). The abundance (%) of bacterial groups (belonging to higher taxonomic groups) are based on the HITChip analysis. Values indicated with a different superscript are significantly different (a, b or c; n = 4).