Human microbiota: 'the philosophers have only interpreted the world in various ways. The point, however, is to change it'.
Human microbiota: 'the philosophers have only interpreted the world in various ways. The point, however, is to change it'.
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DOI:
10.1111/1751-7915.12259
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发表时间:
2015-01
影响因子:
5.7
通讯作者:
Brüssow H
中科院分区:
文献类型:
--
作者:
Brüssow H
Even though we still do not know the ultimate number of bacterial species in the world, our understanding of bacteria populating the human body has increased enormously with the Human Microbiome Project. Act One (the Exposition in classical theatre) of this international effort–in describing what is colonizing our bodies–is now coming if not to an end, then to a saturation phase. Scientists already investigate statistical associations between microbiota composition and health and disease conditions (Act Two, the Complication phase). Many of these investigations took the form of case–control studies, such as gut microbiota in patients with liver cirrhosis and matched healthy controls, to quote a recent example (Qin et al., 2014). In the next years, we will see many more of such case–control studies. They will provide us data where a human microbiota dysbiosis is associated with a disease or an undesired physiological condition. Such data, if confirmed in independent studies with different human populations, will identify disease states that are strongly associated with microbiota disequilibria. However, the old epidemiological dictum that association is not causation also applies to these studies. It has rightly been mentioned that many such studies suffer from reverse causation artefacts (Hanage, 2014). In the future, we will therefore see more prospective human microbiota studies defining whether the microbiota change precedes the development of the deteriorating health condition or is a consequence of this change, bringing us to Act Three, the Reversal phase. This temporal argument is a strong discriminator for health changes induced or followed by microbiota upsets. Although still not very numerous, this research is already on the stage: dynamic studies on age-related microbiota changes in elderly people transferred to residence homes (Claesson et al., 2012) and infants suffering from malnutrition are examples (Subramanian et al., 2014). However, prospective studies are still no guarantee for causal relationships. This argument can only be provided by intervention studies. In fact, a sentence that was formulated by Karl Marx as a mid-19th century critique of classical philosophy also applies to the microbiota field:‘The philosophers have only interpreted the world in various ways. The point, however, is to change it’. We have already seen very successful examples for such interventions: Act Four, the Retardation phase, is already being played. The most striking example is the application of processed stool samples from healthy donors to patients suffering from Clostridium difficile infections (van Nood et al., 2013). This form of bacteriotherapy led to rapid and dramatic ameliorations of the clinical condition in these patients. Antibiotics in treating malnutrition in children is another, although more controversial case(Trehan et al., 2013). Bacteriotherapy with processed faeces and antibiotics are, however, rather broad spectrum interventions unlikely to please regulatory authorities. We are therefore waiting for Act Five, which classically brings the Lysis or Resolution of the drama. More specific interventions correcting microbiota disequilibria are thus needed. Phage therapy targeting a single bacterial species for lysis might be an option to remove or decrease undesired bacteria, but controlled clinical trials proving its value are still largely lacking. Health-promoting probiotic bacteria have shown some success in a few well-defined areas of gastroenterology, vaginal health and allergy. However, introducing probiotic bacteria into an already highly colonized niche, such as the intestine, meets colonization resistance from the resident gut microbiota, even if not all …
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影响因子:
64.8
作者:
Subramanian, Sathish;Huq, Sayeeda;Yatsunenko, Tanya;Haque, Rashidul;Mahfuz, Mustafa;Alam, Mohammed A.;Benezra, Amber;DeStefano, Joseph;Meier, Martin F.;Muegge, Brian D.;Barratt, Michael J.;VanArendonk, Laura G.;Zhang, Qunyuan;Province, Michael A.;Petri, William A., Jr.;Ahmed, Tahmeed;Gordon, Jeffrey I.
通讯作者:
Gordon, Jeffrey I.
影响因子:
64.8
作者:
Claesson, Marcus J.;Jeffery, Ian B.;O'Toole, Paul W.
通讯作者:
O'Toole, Paul W.
DOI:
10.1056/nejmoa1202851
发表时间:
2013-01-31
期刊:
The New England journal of medicine
影响因子:
--
作者:
Trehan I;Goldbach HS;LaGrone LN;Meuli GJ;Wang RJ;Maleta KM;Manary MJ
通讯作者:
Manary MJ
影响因子:
8.9
作者:
Smilowitz JT;Lebrilla CB;Mills DA;German JB;Freeman SL
通讯作者:
Freeman SL
DOI:
10.1073/pnas.1000083107
发表时间:
2011-03-15
影响因子:
11.1
作者:
Zivkovic, Angela M.;German, J. Bruce;Mills, David A.
通讯作者:
Mills, David A.