Relación entre la edad, el índice de masa corporal, el grado de dependencia y la calidad de vida en pacientes con desnutrición tras un alta hospitalaria.

Introduction: The quality of life assessment means investigating how patients perceive their disease. Malnutrition-specific characteristics make patients more vulnerable, so it is important to know how these factors impaction patients’ daily life. Aim: To assess the quality of life in malnourished patients who have had hospital admission, and to determine the relationship of the quality of life with age, body mass index, diagnosis of malnutrition, and dependency. Method: Multicenter transversal descriptive study in 106 malnourished patients after hospital admission. The quality of life (SF-12 questionnaire), BMI, functional independency (Barthel index), morbidity, and a dietary intake evaluation were assessed. The relationship between variables was tested by using the Spearman correlation coefficient Results: The patients of the present study showed a SF-12 mean of 38.32 points. The age was significantly correlated with the SF-12 (r= -0.320, p= 0.001). The BMI was correlated with the SF-12 (r= 0.251, p= 0.011) and its mental component (r= 0.289, p= 0.03). It was also reported a significant correlation between the Barthel index and the SF-12 (r= 0.370, p< 0.001). Conclusions: The general health perception in malnourished patients who have had a hospital admission was lower than the Spanish mean. Moreover, the quality of life in these patients is significantly correlated with age, BMI and functional independency.

Response to Infliximab in Crohn's Disease: Genetic Analysis Supporting Expression Profile.

Substantial proportion of Crohn's disease (CD) patients shows no response or a limited response to treatment with infliximab (IFX) and to identify biomarkers of response would be of great clinical and economic benefit. The expression profile of five genes (S100A8-S100A9, G0S2, TNFAIP6, and IL11) reportedly predicted response to IFX and we aimed at investigating their etiologic role through genetic association analysis. Patients with active CD (350) who received at least three induction doses of IFX were included and classified according to IFX response. A tagging strategy was used to select genetic polymorphisms that cover the variability present in the chromosomal regions encoding the identified genes with altered expression. Following genotyping, differences between responders and nonresponders to IFX were observed in haplotypes of the studied regions: S100A8-S100A9 (rs11205276* G/rs3014866* C/rs724781* C/rs3006488* A; P = 0.05); G0S2 (rs4844486* A/rs1473683* T; P = 0.15); TNFAIP6 (rs11677200* C/rs2342910* A/rs3755480* G/rs10432475* A; P = 0.10); and IL11 (rs1126760* C/rs1042506* G; P = 0.07). These differences were amplified in patients with colonic and ileocolonic location for all but the TNFAIP6 haplotype, which evidenced significant difference in ileal CD patients. Our results support the role of the reported expression signature as predictive of anti-TNF outcome in CD patients and suggest an etiological role of those top-five genes in the IFX response pathway.

Metabolomic insights into the intricate gut microbial-host interaction in the development of obesity and type 2 diabetes.

Gut microbiota has recently been proposed as a crucial environmental factor in the development of metabolic diseases such as obesity and type 2 diabetes, mainly due to its contribution in the modulation of several processes including host energy metabolism, gut epithelial permeability, gut peptide hormone secretion, and host inflammatory state. Since the symbiotic interaction between the gut microbiota and the host is essentially reflected in specific metabolic signatures, much expectation is placed on the application of metabolomic approaches to unveil the key mechanisms linking the gut microbiota composition and activity with disease development. The present review aims to summarize the gut microbial-host co-metabolites identified so far by targeted and untargeted metabolomic studies in humans, in association with impaired glucose homeostasis and/or obesity. An alteration of the co-metabolism of bile acids, branched fatty acids, choline, vitamins (i.e., niacin), purines, and phenolic compounds has been associated so far with the obese or diabese phenotype, in respect to healthy controls. Furthermore, anti-diabetic treatments such as metformin and sulfonylurea have been observed to modulate the gut microbiota or at least their metabolic profiles, thereby potentially affecting insulin resistance through indirect mechanisms still unknown. Despite the scarcity of the metabolomic studies currently available on the microbial-host crosstalk, the data-driven results largely confirmed findings independently obtained from in vitro and animal model studies, putting forward the mechanisms underlying the implication of a dysfunctional gut microbiota in the development of metabolic disorders.