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 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 β‐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.

Highlights d Bifidobacterium abundance increases in the gut during pregnancy in women and mice d Progesterone supplementation alters gut microbial composition in mice and in vitro d Progesterone supplementation increases Bifidobacterium abundance in mice and in vitro d We suggest that progesterone promotes Bifidobacterium growth during late pregnancy

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.

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 β- 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.