| Literature DB >> 29693607 |
Abstract
An extensive body of evidence documents the importance of the gut microbiome both in health and in a variety of human diseases. Cell and animal studies describing this relationship abound, whilst clinical studies exploring the associations between changes in gut microbiota and the corresponding metabolites with neurodegeneration in the human brain have only begun to emerge more recently. Further, the findings of such studies are often difficult to translate into simple clinical applications that result in measurable health outcomes. The purpose of this paper is to appraise the literature on a select set of faecal biomarkers from a clinician’s perspective. This practical review aims to examine key physiological processes that influence both gastrointestinal, as well as brain health, and to discuss how tools such as the characterisation of commensal bacteria, the identification of potential opportunistic, pathogenic and parasitic organisms and the quantification of gut microbiome biomarkers and metabolites can help inform clinical decisions of nutrition and lifestyle medicine practitioners.Entities:
Keywords: lifestyle medicine; microbiome; microbiota-gut-brain axis; neuroprotection; precision nutrition; real-world data
Year: 2018 PMID: 29693607 PMCID: PMC6027349 DOI: 10.3390/microorganisms6020035
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607
Figure 1A simplified diagrammatic illustration of the bidirectional communication pathways between the gut microbiota and the brain, featuring a range of molecules originating in the gut that are involved in the upstream part of the communication system. Also featured is the “fight or flight” response, driven by the activation of the sympathetic nervous system, and how exposure of to that response plays an important role in the dysregulation of the intestinal ecosystem.
Figure 2Dietary patterns that are rich in fresh produce, including a variety of brightly-coloured vegetables and fruits, olive oil, nuts and seeds, e.g., a Mediterranean-style diet, are seen to promote eubiosis, contributing to higher levels of all three short chain fatty acids and to a wider microbial diversity, with lower relative abundance in Firmicutes. Other characteristics of a eubiotic gut ecosystem include lower levels of beta-glucuronidase, documented to help with normal elimination of toxicants, and lower zonulin levels, seen as an indication of reduced susceptibility of damage to the intestinal barrier, i.e., less “leaky gut”. In this scenario, less glial activation is observed, resulting in decreased oxidative stress and increased neuroplasticity. On the other hand, dietary patterns rich in ultra-processed foods, and particularly those rich in refined carbohydrates combined with high fat levels are seen to promote gut dysbiosis. Lower microbial diversity, as well as lower levels of short chain fatty acid levels are seen in patients whose diets consist of mostly of ultra-processed foods, with higher relative abundance of Firmicutes. Other markers are also affected. Beta-glucuronidase may be higher, which could pose issues with toxicant elimination via reduced activity of phase II detoxification pathways. There is also a higher susceptibility for barrier tissue damage. Higher zonulin levels in stool would give practitioners an indication that this is the case. A disrupted intestinal barrier tends to be correlated with increased free radical damage to brain tissue, thereby increasing the chances of neurodegeneration, as well as anxiety, depression and other psychiatric disorders.
Figure 3The author’s “50-food challenge” chart is an example of a simple, but powerful data collection tool used in clinical practice to engage with patients in a light-hearted way so that they report back to their practitioner on their dietary diversity. The rationale is to motivate patients to vary the foods they have every day, so that they’re increasing their micronutrient diversity, thereby feeding different classes of gut microbes.
Figure 4An example of how the MYMOP (Measure Yourself Medical Outcome Profile) questionnaires can be used in clinical practice as a means to assess the effectiveness of interventions. This validated data collection tool is patient-centred and combines qualitative (symptom-based) and quantitative (scoring) data. (A) Represents an example of initial MYMOP questionnaire. (B) Represents a MYMOP follow-up questionnaire administered eight weeks after the initial one. (C,D) Represent an example of a marker showing a change as a result to the intervention. (E) Represents an example of how data can be organised and displayed using spreadsheet software, e.g., Excel (Microsoft) or Numbers (Apple Inc.), with FU standing for “follow up” in the bar chart.