Publisher Correction: Integrating respiratory microbiome and host immune response through machine learning for respiratory tract infection diagnosis
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Microbiome-based interventions to modulate gut ecology and the immune system
The gut microbiome lies at the intersection between the environment and the host, with the ability to modify host responses to disease-relevant exposures and stimuli. This is evident in how enteric microbes interact with the immune system, e.g., supporting immune maturation in early life, affecting drug efficacy via modulation of immune responses, or influencing development of immune cell populations and their mediators. Many factors modulate gut ecosystem dynamics during daily life and we are just beginning to realise the therapeutic and prophylactic potential of microbiome-based interventions. These approaches vary in application, goal, and mechanisms of action. Some modify the entire community, such as nutritional approaches or faecal microbiota transplantation, while others, such as phage therapy, probiotics, and prebiotics, target specific taxa or strains. In this review, we assessed the experimental evidence for microbiome-based interventions, with a particular focus on their clinical relevance, ecological effects, and modulation of the immune system.
Underscoring long-term host-microbiome interactions in a physiologically relevant gingival tissue model
The human body houses many distinct and interconnecting microbial populations with long-lasting systemic effects, where the oral cavity serves as a pathogens’ reservoir. The correlation of different disease states strongly supports the need to understand the interplay between the oral tissue niche and microbiome. Despite efforts, the recapitulation of gingival architecture and physiological characteristics of the periodontal niche has yet to be accomplished by traditional cultural strategies. Here, we are showing for the first time the investigation of host–microbiome interactions in healthy conditions within a human oral tissue model over seven days. Our results indicated long-term host and microbiome viability, host barrier integrity, phenotypic functional response, and preservation of healthy microbial populations and interbacterial dialogs. This in vitro platform can maintain tissue homeostasis at the interface of the periodontal niche, thus, offering opportunities to identify predictive disease biomarkers and to develop intervention strategies to promote oral and overall health.
A Consensus Statement on establishing causality, therapeutic applications and the use of preclinical models in microbiome research
The gut microbiome comprises trillions of microorganisms and profoundly influences human health by modulating metabolism, immune responses and neuronal functions. Disruption in gut microbiome composition is implicated in various inflammatory conditions, metabolic disorders and neurodegenerative diseases. However, determining the underlying mechanisms and establishing cause and effect is extremely difficult. Preclinical models offer crucial insights into the role of the gut microbiome in diseases and help identify potential therapeutic interventions. The Human Microbiome Action Consortium initiated a Delphi survey to assess the utility of preclinical models, including animal and cell-based models, in elucidating the causal role of the gut microbiome in these diseases. The Delphi survey aimed to address the complexity of selecting appropriate preclinical models to investigate disease causality and to study host–microbiome interactions effectively. We adopted a structured approach encompassing a literature review, expert workshops and the Delphi questionnaire to gather insights from a diverse range of stakeholders. Experts were requested to evaluate the strengths, limitations, and suitability of these models in addressing the causal relationship between the gut microbiome and disease pathogenesis. The resulting consensus statements and recommendations provide valuable insights for selecting preclinical models in future studies of gut microbiome-related diseases.
Moving beyond descriptive studies: harnessing metabolomics to elucidate the molecular mechanisms underpinning host-microbiome phenotypes
Advances in technology and software have radically expanded the scope of metabolomics studies and allow us to monitor a broad transect of central carbon metabolism in routine studies. These increasingly sophisticated tools have shown that many human diseases are modulated by microbial metabolism. Despite this, it remains surprisingly difficult to move beyond these statistical associations and identify the specific molecular mechanisms that link dysbiosis to the progression of human disease. This difficulty stems from both the biological intricacies of host-microbiome dynamics as well as the analytical complexities inherent to microbiome metabolism research. The primary objective of this review is to examine the experimental and computational tools that can provide insights into the molecular mechanisms at work in host–microbiome interactions and to highlight the undeveloped frontiers that are currently holding back microbiome research from fully leveraging the benefits of modern metabolomics.
Population-level gut microbiome and its associations with environmental factors and metabolic disorders in Southwest China
Gut microbiota affects host health and disease. Large-scale cohorts have explored the interactions between the microbiota, host, and environment to reveal the disease-associated microbiota variation. A population-level gut metagenomic cohort is still rare in China. Here, we performed metagenomic sequencing on fecal samples from the CMEC Microbiome Project in Southwest China. In this study, we identified host socioeconomics, diet, lifestyle, and medical measurements that were significantly associated with microbiome function and composition. We revealed extensive novel associations between the host microbiome and common metabolic disorders. Our results provide new insight into associations of gut microbiota with metabolic disorders so as to support the translation of gut microbiome findings into potential clinical practice.
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