Rooneycrowell3650

Objectives The aim of this study was to explore the effects of β-hydroxy-β-methylbutyrate (HMB) on intestinal function of lipopolysaccharide (LPS)-challenged piglets. Methods Forty weaned piglets were used in a 2 × 2 factorial design. The major factors were challenge (saline or LPS) and diet (basal diet or 0.6% HMB-Ca diet). After 15 d of treatment with LPS or HMB, blood and intestine samples were obtained. Results The results showed that in LPS-injected pigs, HMB supplementation significantly increased jejunal villus height and ileal villus height-to-crypt depth ratio and decreased ileal crypt depth (P less then 0.05). HMB also improved intestinal function indicated by elevated activities of intestinal mucosal disaccharidase and tricarboxylic acid cycle key enzymes. Furthermore, HMB significantly downregulated mRNA expression of Sirt1 in jejunum and mRNA expression of AMPKα1 and Sirt1 in ileum (P less then 0.05), with a concurrent decrease of AMPKα phosphorylation in jejunum and ileum. Microbiota analysis indicated that HMB supplementation significantly increased α-diversity and affected relative abundances of Romboutsia and Sarcina at the genus level, accompanied by increased concentrations of all short-chain fatty acids except propionate in the terminate ileum of LPS-injected piglets. Conclusion Dietary HMB supplementation could improve intestinal integrity, function, microbiota communities, and short-chain fatty acid concentrations in LPS-challenged piglets, suggesting its potential usage as a feed additive in weaned piglets to alleviate intestinal dysfunction triggered by immune stress.Objectives The quantitative importance of prescribed intravenous (IV) medication to water and sodium intake in routine clinical practice is undocumented, with uncertain influence on clinical outcomes. The present study aimed to redress this issue in surgical patients with gastrointestinal problems. Methods The prescription and administration of IV medication and fluids were retrospectively reviewed for water and sodium over 24-h periods in 86 patients in upper and lower gastrointestinal surgical wards in two teaching hospitals. Changes over 5 y were assessed in the same two wards using the same methodology. Results Among 90.7% of patients prescribed IV medication, the median intake was 272 mL water/d (range, 40-2687 mL water/d) and 27 mmol sodium/d (range, 2-420 mmol sodium/d), with no significant difference between hospitals or ward type. In 28.2% of patients receiving any infusates, the only source of water and sodium was IV medication, and in 14.3% of patients, the medication provided more sodium than other infusates. Antibiotic agents and paracetamol accounted for 58.3% of water and 52.3% of sodium in IV medication. Historic data of IV medicine-related water and sodium intake did not differ significantly from current data. The literature suggests that clinical outcomes can be modulated by variations in water and sodium intake well within the range provided by IV medication. Conclusion IV medicine prescriptions, particularly antibiotic agents and paracetamol, can make substantial and clinically relevant contributions to daily water and sodium intake. These contributions have persisted over time and should be considered during routine assessments of fluid balance and interventions aiming to improve clinical outcomes.Objectives Predictive equations are frequently used to estimate resting energy expenditure (REE) because indirect calorimetry (IC) is not always available and is expensive. The aim of this study was to determine the concordance between the estimation of REE using predictive equations and its measurement by IC. Methods This was an analysis of the registry of indirect calorimetry performed in non-hospitalized participants. Harris-Benedict, FAO/WHO/UNU, Mifflin St. Jeor, and European Society for Clinical Nutrition and Metabolism (ESPEN) equations were used to estimate REE in these individuals. The concordance between measured and estimated REE using real, ideal, and adjusted weight was calculated using the concordance coefficient analysis of Lin and Bland- Altman plots in all participants and in subgroups separated according to their body mass index. Results We retrieved 680 measurements and discarded 247 that did not comply with the inclusion criteria. Thus, we studied 433 participants ages 36 y (29-48 y). Of the participants, 341 were women (79%) and the participants had a body mass index (BMI) of 30 kg/m2 (26.7-33.1 kg/m2). All predictive equations had concordance values 10% ranged from 36% to 87%. The ESPEN equation had the greater proportion of erroneous estimations of REE in all participants and BMI subgroups when real weight was used. Conclusions We observed a low level of concordance between REE estimated using predictive equations and measured by IC. read more These results should alert clinicians about the inaccuracy of predictive equations.Objectives Time-restricted feeding (TRF) is a dietary therapeutic remedy for the prevention and treatment of metabolic diseases. Gut microbiota may influence the host metabolism and nutritional status of individuals. Given the significance of TRF and gut microbiota in metabolic diseases, the aim of this study was to explore the association between TRF and gut microbiota in healthy individuals, which is not clearly elucidated. Methods Thirty healthy men (18-30 y of age) were divided in to two groups (TRF n = 15 and non-TRF n = 15). The TRF group was instructed to not consume any food for 16 h/d. Two-day food diary was used for dietary data collection. Stool samples were collected from both groups after 25 d of TRF or non-TRF. Gut microbiota profile was analyzed and quantified by using 16S rRNA gene sequencing. Results Cluster analysis revealed that Prevotlla_9, Faecalibacterium, and Dialister were the most abundant species in TRF, whereas Prevotell_7, Alloprevotella, and Prevotella_2 were less abundant in the non-TRF group. At the genus level, gut microbiota of the TRF group was significantly changed compared with that of the non-TRF group. Moreover, bar plot analysis revealed that Bacteroidetes was the most abundant phylum in TRF group, followed by Firmicutes. Heat map correlation showed that polyunsaturated fatty acids and vitamin D were positively correlated with Firmicutes, whereas iodine, vitamin E, magnesium, and carbohydrate intake were negative correlated with microbial richness. Conclusion The present study demonstrated that TRF is associated with microbial composition and relative abundance. TRF intervention might increase microbial abundance, thereby influencing the host metabolism and nutritional status.