For me the three kernels of research into the human microbiome are to characterise the microbes involved and their metabolites, understand microbe-microbe and host-microbiome interactions and devise interventions for the removal of harmful taxa and the reinstating of beneficial taxa.
Characterising the microbiome can be carried out using old-school microbiology (growth-dependent techniques such as plate counts), growth-independent methods (such as 16S rRNA gene sequencing [targeted or amplicon], shotgun sequencing, flow cytometry and imaging [confocal, laser-scanning]) and metabolomics (LC-MS/MS mass spectrometry, HPLC). The data generated from “omic” (not to mention “multiomic”) approaches is huge. Handling this big data is almost as problematic as understanding the microbiome itself – a system which is built on complex networks of interactions between thousands of actors. Powerful bioinformatics techniques are needed for rustling up and corralling this data. Tools such as artificial intelligence, machine learning, and network analysis are becoming indispensable in studying the microbiome.
Hot topics (in this author’s humble opinion) in microbiome research include:
- The identification of bacterial biomarkers associated with dysbiosis (preferably based on a cheap, rapid, simple, easy-interpretable test)
- Microbiome-based personalized medicine (e.g. understanding the difference between those patients who respond to drugs and those who don’t)
- The impact of drugs on gut microbiome
- The identification of new species with functions of interest
- Next-generation probiotics
- The effect of viruses on the microbiome
- The impact of pre-, pro-and post-biotics on the gut microbiome
- The prevention/amelioration of dysbiosis
- Personalised nutrition (for e.g. high-performance athletes, geriatric patients, those with cholesterol or diabetes)
- The development of new functional foods
- The identification of microbial gene products and metabolites that interact with human cells (e.g. anti-inflammatory or antiproliferative signal molecules).
I will present some recent ground-breaking research to do with the human microbiome.
Gopalakrishnan et al. (2018) in a study entitled “Gut microbiome modulates response to anti–PD-1 immunotherapy in melanoma patients” examined the oral and gut microbiome of melanoma patients undergoing anti–programmed cell death 1 protein (PD-1) immunotherapy and found that patients could be grouped into two categories based on their response to the treatment – responders and non-responders. Significant differences were observed in the diversity and composition of the patient gut microbiome of responders versus non-responders. Responders (who had a higher chance of recovering from their melanoma) displayed significantly higher diversity and relative abundance of bacteria of the Ruminococcaceae family compared to non-responders. Metagenomic studies (which looked at a large number of genes present in the gut microbiome) revealed functional differences in gut bacteria in responders, including the enrichment of anabolic pathways. Immune profiling suggested enhanced systemic and antitumor immunity in responding patients mediated by their gut microbiome. In a nutshell: a healthy and high-functioning gut microbiome enabled the responders to react positively to the immunotherapy and aid in their immune system’s fight against their melanoma.
In a study which shows how specific each member of our microbiome is regarding the niche it occupies, Lawler et al. (2020) showed that spores of the pathogen, Clostridiodes difficile, will only germinate in the duodenum in the presence of primary bile salts. These primary bile salts are those which are directly secreted by the gall bladder. Bacteria other than C. difficile metabolise primary bile salts into secondary bile acids. If C. difficile senses the presence of secondary bile salts it won’t germinate: in other words when there is the possibility of other microbes present, C. difficile spores will remain dormant, fearing the competition represented by these other bugs. Location-wise, this means that C. difficile only has a short stretch of the duodenum in which to germinate. Now that we know its niche, we can target specific treatments to this area.
Finally, work by Reitmeier et al. (2020) has shown that your microbiome knows what time of the night and day it is and that its activity cycles in what is known as circadian rhythm. Not only did the authors find that specific gut microbes exhibit rhythmic oscillations in relative abundance, but that individuals with type-2 diabetes display perturbations in their gut microbiome’s cycling. This arrhythmic signature contributed to the classification and prediction of type-2 diabetes and the authors speculate that there may be functional links between circadian rhythmicity and the microbiome in metabolic diseases such as obesity and cancer.