Medicina

Obesity has reached an epidemic level worldwide, and bariatric surgery (BS) has been proven to be the most efficient therapy to reduce severe obesity-related comorbidities. Given that the gut microbiota plays a causal role in obesity development and that surgery may alter the gut environment, investigating the impact of BS on the microbiota in the context of severe obesity is important. Although, alterations at the level of total gut bacteria, total gene content and total metabolite content have started to be disentangled, a clear deficit exists regarding the analysis of the active fraction of the microbiota, which is the fraction that is most reactive to the BS. Here, active gut microbiota and associated metabolic functions were evaluated using shotgun proteomics and metabolomics in 40 severely obese volunteers. Samples from each volunteer were obtained under basal conditions, after a short high protein and calorie-restricted diet, and 1 and 3 months after BS, including laparoscopic surgery through Roux-en-Y Gastric Bypass or Sleeve Gastrectomy. The results revealed for the first time the most active microbes and metabolic flux distribution pre- and post-surgery and deciphered main differences in the way sugars and short-fatty acids are metabolized, demonstrating that less energy-generating and anaerobic metabolism and detoxification mechanisms are promoted post-surgery. A comparison with non-obese proteome data further signified different ways to metabolize sugars and produce short chain fatty acids and deficiencies in proteins involved in iron transport and metabolism in severely obese individuals compared to lean individuals.

The role of the microbiome in the molecular mechanisms underlying allergy has become highly relevant in recent years. Studies are increasingly suggesting that altered composition of the microbiota, or dysbiosis, may result in local and systemic alteration of the immune response to specific allergens. In this regard, a link has been established between lung microbiota and respiratory allergy, between skin microbiota and atopic dermatitis, and between gut microbiota and food allergy. The composition of the human microbiota is dynamic and depends on host-associated factors such as diet, diseases, and lifestyle. Omics are the techniques of choice for the analysis and understanding of the microbiota. Microbiota analysis techniques have advanced considerably in recent decades, and the need for multiple approaches to explore and comprehend multifactorial diseases, including allergy, has increased. Thus, more and more studies are proposing mechanisms for intervention in the microbiota. In this review, we present the latest advances with respect to the human microbiota in the literature, focusing on the intestinal, cutaneous, and respiratory microbiota. We discuss the relationship between the microbiome and the immune system, with emphasis on allergic diseases. Finally, we discuss the main technologies for the study of the microbiome and interventions targeting the microbiota for prevention of allergy.

Cow’s milk allergy (CMA) is one of the most prevalent food allergies in children. Several studies have demonstrated that gut microbiota influences the acquisition of oral tolerance to food antigens at initial stages of life. Changes in the gut microbiota composition and/or functionality (i.e., dysbiosis) have been linked to inadequate immune system regulation and the emergence of pathologies. Moreover, omic sciences have become an essential tool for the analysis of the gut microbiota. On the other hand, the use of fecal biomarkers for the diagnosis of CMA has recently been reviewed, with fecal calprotectin, -1 antitrypsin, and lactoferrin being the most relevant. This study aimed at evaluating functional changes in the gut microbiota in the feces of cow’s milk allergic infants (AI) compared to control infants (CI) by metagenomic shotgun sequencing and at correlating these findings with the levels of fecal biomarkers ( -1 antitrypsin, lactoferrin, and calprotectin) by an integrative approach. We have observed differences between AI and CI groups in terms of fecal protein levels and metagenomic analysis. Our findings suggest that AI have altered glycerophospholipid metabolism as well as higher levels of lactoferrin and calprotectin that could be explained by their allergic status.