Faecalibacterium prausnitzii Improves Lipid Metabolism Disorder and Insulin Resistance in Type 2 Diabetic Mice

Fecal microbiota transplantation as a potential therapeutic approach to improve impaired glucose tolerance via gut microbiota modulation in rat model

Objectives

To investigate the impact of diet-induced gut microbiota alterations on type 2 diabetes and assess the therapeutic potential of Fecal Microbiota Transplantation (FMT) in restoring a balanced gut microenvironment.

Methods

To induce type 2 diabetes, rats were fed a high-sugar high-fat diet (HSFD) for 90 days. After diabetes induction, animals were divided into an HSFD control group, a metformin group (100 mg/kg), and an FMT group (100 mg/kg), receiving treatment for an additional 90 days. Fasting blood glucose levels, glucose tolerance, serum markers (HbA1C, free fatty acids, lipopolysaccharides, pro-inflammatory and anti-inflammatory cytokines), and gut microbiota profiles via cecal metagenome sequencing were analyzed post-treatment.

Results

FMT effectively restored gut microbiota composition to a profile similar to healthy controls, rebalancing the Firmicutes/Bacteroidetes ratio and increasing beneficial taxa, including Prevotella ruminicola, Akkermansia muciniphila, Roseburia, and Faecalibacterium prausnitzii. These microbial shifts corresponded with significant metabolic improvements: FMT reduced inflammatory markers (LPS and FFA), lowered HbA1c, and improved glucose tolerance. Enhanced gut barrier integrity observed in FMT-treated animals likely contributed to reduced endotoxemia and systemic inflammation, distinguishing FMT's metabolic effects from those of metformin. Notably, FMT addressed the dysbiosis associated with HSFD, promoting microbial resilience and mitigating the metabolic disruptions linked to type 2 diabetes.

Conclusion

These findings underscore the potential of FMT as a targeted therapeutic approach to modulate gut microbiota composition and mitigate metabolic dysregulation induced by high sugar high fat diet.

The Role of Beneficial Microbiota in COVID-19: Insights from Key Bacterial Genera

The COVID-19 pandemic has highlighted the need for a comprehensive understanding of the factors influencing disease severity and progression. Emerging research indicates that the human microbiota, particularly beneficial bacteria, significantly impacts immune responses and health outcomes in COVID-19 patients. While existing studies provide general insights into the relationship between the microbiota and probiotics with COVID-19, they often lack a detailed exploration of how specific bacterial taxa might be used as adjunctive treatments. This review aims to address this gap by focusing on ten key genera of beneficial bacteria, discussing their roles in COVID-19 and evaluating their potential as probiotics for prevention and treatment. The review covers the impact of these microbes on human health, their population alterations in COVID-19 patients, and their interactions with other viral infections. Among these microbes, several exhibit distinct patterns of abundance in COVID-19 patients, influencing disease outcomes and highlighting their potential roles in infection dynamics. In COVID-19 patients, populations of Akkermansia, Ruminococcus, and Roseburia are consistently reduced, while those of Faecalibacterium show a significant decline in more severe cases. Bacteroides presents varying effects depending on the species involved. Alterations in the abundance of Blautia and Lachnospiraceae are associated with increased inflammation and disease severity. Likewise, the depletion of Lachnospira and Coprococcus populations, both linked to anti-inflammatory effects, may exacerbate symptom severity. Oscillospira, though less studied, is connected to overall health and could have implications for viral infections. This review synthesizes the current understanding of these beneficial microbes to highlight the importance of maintaining a healthy microbiota to alleviate the impact of COVID-19 and contribute to the development of novel therapeutic strategies involving microbiota modulation.

Endocrinology and Metabolic Diseases in Human Health

In 2022, we served as guest editors of the Nutrients Special Issue entitled "Endocrinology and Metabolic Diseases in Human Health". [...].

Microbial network inference for longitudinal microbiome studies with LUPINE

BACKGROUND

The microbiome is a complex ecosystem of interdependent taxa that has traditionally been studied through cross-sectional studies. However, longitudinal microbiome studies are becoming increasingly popular. These studies enable researchers to infer taxa associations towards the understanding of coexistence, competition, and collaboration between microbes across time. Traditional metrics for association analysis, such as correlation, are limited due to the data characteristics of microbiome data (sparse, compositional, multivariate). Several network inference methods have been proposed, but have been largely unexplored in a longitudinal setting.

RESULTS

We introduce LUPINE (LongitUdinal modelling with Partial least squares regression for NEtwork inference), a novel approach that leverages on conditional independence and low-dimensional data representation. This method is specifically designed to handle scenarios with small sample sizes and small number of time points. LUPINE is the first method of its kind to infer microbial networks across time, while considering information from all past time points and is thus able to capture dynamic microbial interactions that evolve over time. We validate LUPINE and its variant, LUPINE_single (for single time point analysis) in simulated data and four case studies, where we highlight LUPINE's ability to identify relevant taxa in each study context, across different experimental designs (mouse and human studies, with or without interventions, and short or long time courses). To detect changes in the networks across time and groups or in response to external disturbances, we used different metrics to compare the inferred networks.

CONCLUSIONS

LUPINE is a simple yet innovative network inference methodology that is suitable for, but not limited to, analysing longitudinal microbiome data. The R code and data are publicly available for readers interested in applying these new methods to their studies. Video Abstract.

Faecalibacterium prausnitzii Suppresses Mitophagy to Alleviate Muscle Atrophy in Chronic Renal Failure With Protein-Energy Wasting

Protein-energy wasting (PEW) facilitates major adverse clinical outcomes in chronic renal failure (CRF), with current therapies not suitable for all patients. Faecalibacterium prausnitzii (F. prausnitzii) can alleviate chronic kidney disease, with unclear effects and mechanisms on CRF with PEW. The CRF rat model was constructed by adenine administration, and PEW was induced by a 4% casein diet. The serum creatinine (SCR), urinary protein (UPR), and blood urea nitrogen (BUN) levels were measured by enzyme-linked immunosorbent assay. Pathology of the gastrocnemius muscle was estimated using hematoxylin and eosin staining. The expression of mitophagy-related markers was detected to assess the mitophagy level. Dexamethasone-induced L6 myotubes established myotube atrophy models. The levels of mitophagy-related markers, muscle RING-finger protein-1 (MuRF1), and atrophy gene 1 (Atrogin1) were detected by quantitative reverse transcription-polymerase chain reaction and western blotting. F. prausnitzii suppressed the SCR, UPR, and BUN expression in serum and gastrocnemius muscle atrophy, which were promoted by CRF with PEW. Dexamethasone-induced expression of MuRF1 and Atrogin1 in L6 myotubes was decreased by F. prausnitzii. Additionally, F. prausnitzii repressed mitophagy in the gastrocnemius muscle and L6 myotubes. In conclusion, F. prausnitzii suppressed renal failure progression and muscle atrophy by inhibiting mitophagy in CRF with PEW.

Targeted prebiotic application of gluconic acid-containing oligosaccharides promotes Faecalibacterium growth through microbial cross-feeding networks

The gut microbiome plays a crucial role in human health, and certain bacterial species, such as Faecalibacterium prausnitzii, are particularly beneficial. This study conducted a comprehensive investigation of prebiotic compounds that showed potential for specifically promoting beneficial gut bacteria. Using in vitro fecal cultures and a human intervention study, we identified maltobionic acid and lactobionic acid as compounds that specifically promoted Faecalibacterium growth both in vitro and in vivo without significantly affecting Bifidobacterium, which is typically increased by traditional prebiotics. In a human intervention study (n = 27), a significant increase was observed in Faecalibacterium abundance following maltobionic acid supplementation, with effectiveness correlating with the initial Parabacteroides abundance. Mechanistic investigations revealed a cross-feeding pathway between gut bacteria. In this pathway, Parabacteroides species converted the gluconic acid moiety of maltobionic and lactobionic acids to glucuronic acid, which was then preferentially utilized by Faecalibacterium. These findings suggest that gluconic acid-containing oligosaccharides are promising prebiotics for the targeted enhancement of beneficial Faecalibacterium and underscore the importance of microbial interactions in prebiotic research, offering new avenues for personalized microbiome modulation strategies.

Effect of host breeds on gut microbiome and fecal metabolome in commercial pigs

BACKGROUND

Gut microbial composition and its metabolites are crucial for livestock production performance. Metabolite profiles from autopsied biospecimens provide vital information on the basic mechanisms that affect the overall health and production traits in livestock animals. However, the role of the host breed in the gut microbiome and fecal metabolome of commercial pigs remains unclear. In this work, differences in microbiota composition among three commercial pig breeds Duroc, Yorkshire, and Landrace were measured by 16S rRNA gene sequencing. Fecal metabolite compositions of the three pig breeds were detected using untargeted metabolomics.

RESULTS

There were significant differences in the gut microbiomes of the three species, indicating that host breed affects the diversity and structure of gut microbiota. Several breed-associated microorganisms were identified at different taxonomic levels. Notely, most microbial taxa were annotated as Lactobacillacea, Muribaculaceae, and Oscillospiraceae. Several bacteria, including Lactobacillus, Subdoligranulum, Faecalibacterium, Oscillospira, Oscillospiraceae_UCG-002, and Christensenellaceae_R-7_group, could be considered as biomarkers for improving the backfat thickness (BF) for commercial pigs. Additionally, KEGG analysis of gut microbiota further revealed that arginine biosynthesis, pyruvate metabolism, and fatty acid biosynthesis varied greatly among pig breeds. Multiple gut bacterial metabolites (e.g., spermidine, estradiol, and palmitic acid) were identified as breed-associated. Mediation analysis ultimately revealed the cross-talk among gut microbiota, metabolites, and BF thickness, proclaiming that the microbial and metabolic biomarkers identified in this study could be used as biomarkers for improving BF phenotype.

CONCLUSIONS

This work provides vital insights into breed effects on gut microbiota and metabolite compositions of commercial pigs and uncovers potential biomarkers that are significant for pig breed improvement.

Physical Exercise as Disease-Modifying Alternative against Alzheimer's Disease: A Gut-Muscle-Brain Partnership

Alzheimer's disease (AD) is a common cause of dementia characterized by neurodegenerative dysregulations, cognitive impairments, and neuropsychiatric symptoms. Physical exercise (PE) has emerged as a powerful tool for reducing chronic inflammation, improving overall health, and preventing cognitive decline. The connection between the immune system, gut microbiota (GM), and neuroinflammation highlights the role of the gut-brain axis in maintaining brain health and preventing neurodegenerative diseases. Neglected so far, PE has beneficial effects on microbial composition and diversity, thus providing the potential to alleviate neurological symptoms. There is bidirectional communication between the gut and muscle, with GM diversity modulation and short-chain fatty acid (SCFA) production affecting muscle metabolism and preservation, and muscle activity/exercise in turn inducing significant changes in GM composition, functionality, diversity, and SCFA production. This gut-muscle and muscle-gut interplay can then modulate cognition. For instance, irisin, an exercise-induced myokine, promotes neuroplasticity and cognitive function through BDNF signaling. Irisin and muscle-generated BDNF may mediate the positive effects of physical activity against some aspects of AD pathophysiology through the interaction of exercise with the gut microbial ecosystem, neural plasticity, anti-inflammatory signaling pathways, and neurogenesis. Understanding gut-muscle-brain interconnections hold promise for developing strategies to promote brain health, fight age-associated cognitive decline, and improve muscle health and longevity.