Gut microbiota determines the social behavior of mice and induces metabolic and inflammatory changes in their adipose tissue.

The link between the gut microbiota and social behavior has been demonstrated, however the translational impact of a certain microbiota composition on stable behavioral patterns is yet to be elucidated. Here we employed an established social behavior mouse model of dominance (Dom) or submissiveness (Sub). A comprehensive 16S rRNA gene sequence analysis of Dom and Sub mice revealed a significantly different gut microbiota composition that clearly distinguishes between the two behavioral modes. Sub mice gut microbiota is significantly less diverse than that of Dom mice, and their taxa composition uniquely comprised the genera Mycoplasma and Anaeroplasma of the Tenericutes phylum, in addition to the Rikenellaceae and Clostridiaceae families. Conversely, the gut microbiota of Dom mice includes the genus Prevotella of the Bacteriodetes phylum, significantly less abundant in Sub mice. In addition, Sub mice show lower body weight from the age of 2 weeks and throughout their life span, accompanied with lower epididymis white adipose tissue (eWAT) mass and smaller adipocytes together with substantially elevated expression of inflammation and metabolic-related eWAT adipokines. Finally, fecal microbiota transplantation into germ-free mice show that Sub-transplanted mice acquired Sub microbiota and adopted their behavioral and physiological features, including depressive-like and anti-social behaviors alongside reduced eWAT mass, smaller adipocytes, and a Sub-like eWAT adipokine profile. Our findings demonstrate the critical role of the gut microbiome in determining dominance vs. submissiveness and suggest an association between gut microbiota, the eWAT metabolic and inflammatory profile, and the social behavior mode.

The aging mouse microbiome has obesogenic characteristics.

BACKGROUND: During aging, there is a physiological decline, an increase of morbidity and mortality, and a natural change in the gut microbiome. In this study, we investigated the influence of the gut microbiome on different metabolic parameters in adult and aged mice. METHODS: Fecal and blood samples from adult (n = 42, 100-300 days) and aging (n = 32, 550-750 days) mice were collected. Microbiome analysis was done using QIIME2. Mouse weight and body composition were measured using NMR, and insulin and leptin levels in the blood were measured with Mouse Adipokine Magnetic Bead Panel kit. Fecal microbiota transplantation experiments from adult and aged mice into young germ-free mice were carried out in order to examine the effect of the gut microbiome of adult and aging mice on weight, body composition, insulin, and leptin. RESULTS: We demonstrate that the microbiomes from adult and aged mice are distinguishable. We also report changes in metabolic parameters as we observed significantly higher weight and fat mass and low lean mass in aged compared to adult mice along with high insulin and leptin levels in the blood. The transplanted gut microbiome from aged mice transferred part of the phenotypes seen in aged mice. Fat body mass and insulin levels were higher in the mice who received feces from aged mice than mice receiving feces from adult mice. In addition, they consumed more food and had a higher respiratory quotient compared to mice receiving adult feces. CONCLUSIONS: We conclude that aged mice have a gut microbiota with obesogenic characteristics. In addition, the gut bacterial population itself is sufficient to induce some of the manifestations of obesity.

Psoriatic patients have a distinct structural and functional fecal microbiota compared with controls.

Alterations in the gut microbiome have been implicated in the pathogenesis of several immune-mediated inflammatory diseases such as psoriatic arthritis. This work aimed to characterize the gut microbial signature of patients with active psoriasis as compared with age-, body mass index- and comorbidity-matched non-psoriatic controls and to correlate them with differential expression of metabolic pathways. Fecal samples were processed and 16S rRNA was sequenced. PICRUSt was used to perform an analysis of metabolic pathways. Of the 46 participants, 52% (n = 24) suffered from psoriasis. There was a significant difference in ß-diversity between the two groups. Psoriatic patients had a significant increase in the Firmicutes and Actinobacteria phyla as compared with matched controls. At the genus level, psoriatic patients had a unique bacterial composition. At the species level, the psoriatic patients showed significant increases in the relative proportions of (false discovery rate, <0.05) in Ruminoccocus gnavus, Dorea formicigenerans and Collinsella aerofaciens, while Prevotella copri and Parabacteroides distasonis were significantly decreased as compared with controls. PICRUSt analysis revealed increases in metabolic pathways related to lipopolysaccharide function in the psoriatic cohort. These data demonstrate unique fecal microbial and metabolic signatures in psoriatic patients.

Dysbiosis of Skin Microbiota in Psoriatic Patients: Co-occurrence of Fungal and Bacterial Communities.

Psoriasis is a chronic inflammatory skin disease, whose pathogenesis involves dysregulated interplay among immune cells, keratinocytes and environmental triggers, including microbiota. Bacterial and fungal dysbiosis has been recently associated with several chronic immune-mediated diseases including psoriasis. In this comprehensive study, we investigated how different sampling sites and methods reflect the uncovered skin microbiota composition. After establishing the most suitable approach, we further examined correlations between bacteria and fungi on the psoriatic skin. We compared microbiota composition determined in the same sample by sequencing two distinct hypervariable regions of the 16S rRNA gene. We showed that using the V3V4 region led to higher species richness and evenness than using the V1V2 region. In particular, genera, such as Staphylococcus and Micrococcus were more abundant when using the V3V4 region, while Planococcaceae, on the other hand, were detected only by the V1V2 region. We performed a detailed analysis of skin microbiota composition of psoriatic lesions, unaffected psoriatic skin, and healthy control skin from the back and elbow. Only a few discriminative features were uncovered, mostly specific for the sampling site or method (swab, scraping, or biopsy). Swabs from psoriatic lesions on the back and the elbow were associated with increased abundance of Brevibacterium and Kocuria palustris and Gordonia, respectively. In the same samples from psoriatic lesions, we found a significantly higher abundance of the fungus Malassezia restricta on the back, while Malassezia sympodialis dominated the elbow mycobiota. In psoriatic elbow skin, we found significant correlation between occurrence of Kocuria, Lactobacillus, and Streptococcus with Saccharomyces, which was not observed in healthy skin. For the first time, we showed here a psoriasis-specific correlation between fungal and bacterial species, suggesting a link between competition for niche occupancy and psoriasis. However, it still remains to be elucidated whether observed microbial shift and specific inter-kingdom relationship pattern are of primary etiological significance or secondary to the disease.

Progesterone Increases Bifidobacterium Relative Abundance during Late Pregnancy.

Gestation is accompanied by alterations in the microbial repertoire; however, the mechanisms driving these changes are unknown. Here, we demonstrate a dramatic shift in the gut microbial composition of women and mice during late pregnancy, including an increase in the relative abundance of Bifidobacterium. Using in-vivo-transplanted pellets, we found that progesterone, the principal gestation hormone, affects the microbial community. The effect of progesterone on the richness of several bacteria species, including Bifidobacterium, was also demonstrated in vitro, indicating a direct effect. Altogether, our results delineate a model in which progesterone promotes Bifidobacterium growth during late pregnancy.

Antibiotics in early life: dysbiosis and the damage done.

Antibiotics are the most common type of medication prescribed to children, including infants, in the Western world. While use of antibiotics has transformed previously lethal infections into relatively minor diseases, antibiotic treatments can have adverse effects as well. It has been shown in children, adults and animal models that antibiotics dramatically alter the gut microbial composition. Since the gut microbiota plays crucial roles in immunity, metabolism and endocrinology, the effects of antibiotics on the microbiota may lead to further health complications. In this review, we present an overview of the effects of antibiotics on the microbiome in children, and correlate them to long-lasting complications of obesity, behavior, allergies, autoimmunity and other diseases.

Alterations in the Gut ( Gallus gallus) Microbiota Following the Consumption of Zinc Biofortified Wheat ( Triticum aestivum)-Based Diet.

The structure and function of cecal microbiota following the consumption of a zinc (Zn) biofortified wheat diet was evaluated in a well-studied animal model of human nutrition ( Gallus gallus) during a six-week efficacy trial. Using 16S rRNA gene sequencing, a significant increase in ß- but not α-microbial diversity was observed in the animals receiving the Zn biofortified wheat diet, relative to the control. No significant taxonomic differences were found between the two groups. Linear discriminant analysis revealed a group of metagenomic biomarkers that delineated the Zn replete versus Zn deficient phenotypes, such that enrichment of lactic acid bacteria and concomitant increases in Zn-dependent bacterial metabolic pathways were observed in the Zn biofortified group, and expansion of mucin-degraders and specific bacterial groups able to participate in maintaining host Zn homeostasis were observed in the control group. Additionally, the Ruminococcus genus appeared to be a key player in delineating the Zn replete microbiota from the control group, as it strongly predicts host Zn adequacy. Our data demonstrate that the gut microbiome associated with Zn biofortified wheat ingestion is unique and may influence host Zn status. Microbiota analysis in biofortification trials represents a crucial area for study as Zn biofortified diets are increasingly delivered on a population-wide scale.