| Literature DB >> 32714306 |
Irina Spacova1, Hemraj B Dodiya2, Anna-Ursula Happel3, Conall Strain4,5, Dieter Vandenheuvel1,6, Xuedan Wang7,8, Gregor Reid9,10,11.
Abstract
The opportunities in the fields of probiotics and prebiotics to a great degree stem from what we can learn about how they influence the microbiota and interact with the host. We discuss recent insights, cutting-edge technologies and controversial results from the perspective of early career researchers innovating in these areas. This perspective emerged from the 2019 meeting of the International Scientific Association for Probiotics and Prebiotics - Student and Fellows Association (ISAPP-SFA). Probiotic and prebiotic research is being driven by genetic characterization and modification of strains, state-of-the-art in vitro, in vivo, and in silico techniques designed to uncover the effects of probiotics and prebiotics on their targets, and metabolomic tools to identify key molecules that mediate benefits on the host. These research tools offer unprecedented insights into the functionality of probiotics and prebiotics in the host ecosystem. Young scientists need to acquire these diverse toolsets, or form inter-connected teams to perform comprehensive experiments and systematic analysis of data. This will be critical to identify microbial structure and co-dependencies at body sites and determine how administered probiotic strains and prebiotic substances influence the host. This and other strategies proposed in this review will pave the way for translating the health benefits observed during research into real-life outcomes. Probiotic strains and prebiotic products can contribute greatly to the amelioration of global issues threatening society. The intent of this article is to provide an early career researcher's perspective on where the biggest opportunities lie to advance science and impact human health.Entities:
Keywords: ISAPP; SFA; prebiotics; probiotics; review; young scientist
Year: 2020 PMID: 32714306 PMCID: PMC7344207 DOI: 10.3389/fmicb.2020.01400
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
Promising in vitro, in vivo, and in silico techniques for probiotics and prebiotics research.
| Technique | Use | Advantages | Limitations | References |
| Full shotgun metagenomics sequencing | To sequence the genomes of untargeted cells in a community to elucidate community composition and function | Untargeted, allows simultaneous detection of bacterial, fungal and viral sequences, greater taxonomy resolution and functional profiling | Expensive, requires more extensive data analysis due to host DNA interference | |
| Strain-specific quantitative polymerase chain reaction (qPCR) | To quantify target DNA sequences for specific probiotic strains | Faster high-throughput detection and quantification of target DNA sequences, high sensitivity enables quantification of microorganisms with low abundance on strain level within an environmental sample | Design of primers that specifically target strains of interest despite the presence of closely related strains is not trivial, requires adequate validation, results need to be correlated with phenotypic and biochemical tests | |
| KatharoSeq | High-Throughput Microbiome Analysis of Low-Biomass Samples | Able to differentiate a true positive signal in samples with as few as 50 bacterial cells, high-throughput, single tube DNA extractions, automated, incorporates positive and negative controls, combines laboratory and bioinformatic methods | Careful selection of positive controls necessary | |
| RIDE checklist | Minimum standards checklist for low microbial biomass microbiome studies | Improves the validity of low microbial biomass research by reporting methodology, including controls, determining level of contamination and exploring impacts of contamination in downstream analysis | Sample collection recommendations difficult to implement in some clinical settings | |
| 1H-NMR-spectroscopy | Detection of metabolites in biological samples | Not destructive, minimal sample preparation, broad | Less sensitive than mass spectrometer-based methods, quantification of metabolites challenging | |
| Targeted Tandem Mass Spectrometry (TQ, QTrap) | Targeted analysis of metabolites, hypothesis-driven research | High sensitivity and specificity, absolute quantification | Limited spectrum of metabolites, risk of false positives | |
| Untargeted Tandem Mass Spectrometry (Q-TOF, LTQ-Orbitrap) | Global profiling of metabolites, hypothesis-generating research | Comprehensive analysis, can detect unknown metabolites | Relative quantification, libraries for annotating incomplete, risk of false negatives. | |
| Proteomics | Detection of expressed proteins | Untargeted, direct method, high sensitivity, allows identification of human and bacterial proteins | Low throughput, time consuming, requires known peptide annotation, likelihood of 100% amino acid sequence identity between proteins produced by different species is low, same protein might be expressed by various organisms | |
| CRISPR-Cas9 | Targeted genetic manipulation | Efficient and specific, limited off-target mutation, no need for a permanent antibiotic marker | Often demands subsequent transformations, limited to genetic sites with a PAM motif present | |
| Food-grade cloning vectors | Genetic manipulation of food-grade probiotics for safe use in humans and animals | To create genetically modified probiotics that meet the non-toxic and safe for consumption criteria (e.g., isogenic probiotic mutants for mechanistic studies in humans) | Limited functional marker genes | |
| Genetic modification of probiotics to produce therapeutic molecules | Next-generation probiotics as delivery vehicles for bioactive compounds or antigens | Combination of beneficial probiotic action with targeted delivery of therapeutic molecules aimed against specific diseases | Approval for general use under current regulation is challenging, need for extensive safety testing and strict biocontainment strategies | |
| RNAseq | Measures gene transcription in bacterial communities and host, provides information about gene expression under different ecological conditions | Allows to determine transcriptional responses, not limited to genomic sequences, quantifiable | Dependent on successful cDNA synthesis, challenging for short-lived transcripts | |
| Explants and organotypic tissue models | Assessment of safety, mechanisms of action and potential efficacy of probiotic candidate | Three-dimensional tissue structures, differentiated cell composition, reflective of human physiology | Limited culture time and thus limited potential for long-term studies, not suitable for predicting systematic effects | |
| Organoids | Assessing probiotic efficacy and mechanisms of action at organ-level biological read-outs | High reproducibility, recapitulation of 3D physiological structures | Variability in cell types/heterogeneity, less appropriate for studying effects on stratified tissues | |
| Microfluidic organ-on-a-chip models | Kinetic assessment of prebiotic, probiotic and microbiota effects on host cells | Reflect the physiological complexity of dynamic niches, allow kinetic read-outs | Technologically challenging | |
| Mini bioreactors | Study metabolites and capture community changes | Traditional fermentation model, high throughput, reduced volume | No precise pH control in place, no distinct compartments of the colon, no interactions with host cells | |
| Humanized animal models | Evaluating microbe-host and prebiotic-host interactions | Increased translational value compared to traditional animal models, more accurate modeling of specific human-like host responses, possibility to colonize animals with defined probiotic strains or human microbiota | Not representative from a host-specific evolutionary perspective, technical challenges (e.g., graft rejections of human microbiota or immune cells), ethical concerns | |
| Osmotic pill | Real-time | Ingestible, biocompatible and battery-less with an osmotic sampler and microfluidic channels, allows real-time | Collection time is variable and influenced by individual peristaltic movement | |
| Randomized controlled trials | Assessment of prebiotic and probiotic intervention outcomes under controlled conditions | Gold standard to assess intervention outcomes in humans | Expensive, time-consuming, randomization might prevent patient stratification based on relevant personal parameters, outcomes might be different in different patient populations | |
FIGURE 1Key concepts for the development of the probiotics and prebiotics fields. We propose a systems approach linking research tools and clinical application to translate the potential health benefits observed during research into real-life outcomes. For example, not only the probiotics and prebiotics themselves should be considered, but also the real-time interactions with the host, microbial functionality, individual factors, and the regulation and safety aspects. Furthermore, various environmental and social needs can and should be addressed by probiotics and prebiotics.