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1.
Nutrients ; 16(7)2024 Mar 22.
Article in English | MEDLINE | ID: mdl-38612951

ABSTRACT

BACKGROUND: The study investigated the impact of starch degradation products (SDexF) as prebiotics on obesity management in mice and overweight/obese children. METHODS: A total of 48 mice on a normal diet (ND) and 48 on a Western diet (WD) were divided into subgroups with or without 5% SDexF supplementation for 28 weeks. In a human study, 100 overweight/obese children were randomly assigned to prebiotic and control groups, consuming fruit and vegetable mousse with or without 10 g of SDexF for 24 weeks. Stool samples were analyzed for microbiota using 16S rRNA gene sequencing, and short-chain fatty acids (SCFA) and amino acids (AA) were assessed. RESULTS: Results showed SDexF slowed weight gain in female mice on both diets but only temporarily in males. It altered bacterial diversity and specific taxa abundances in mouse feces. In humans, SDexF did not influence weight loss or gut microbiota composition, showing minimal changes in individual taxa. The anti-obesity effect observed in mice with WD-induced obesity was not replicated in children undergoing a weight-loss program. CONCLUSIONS: SDexF exhibited sex-specific effects in mice but did not impact weight loss or microbiota composition in overweight/obese children.


Subject(s)
Pediatric Obesity , Solanum tuberosum , Child , Humans , Male , Female , Animals , Mice , Dextrins , Diet, Western , Dysbiosis , Overweight , RNA, Ribosomal, 16S/genetics , Body Weight , Starch/pharmacology , Fruit
2.
Acta Biochim Pol ; 70(3): 469-474, 2023 Sep 06.
Article in English | MEDLINE | ID: mdl-37672729

ABSTRACT

In the development of NAFLD plays an important role the intestinal microflora. Our aim was to characterize role microbiota in children. Distinctive gut microbiota composition was observed in children, characterized and short-chain fatty acid producing bacteria. For the treatment of NAFLD it is possible by therapeutic manipulations with prebiotics and probiotics to modulate the gut microbiota and maintain the integrity of the intestinal barrier are potential agents.


Subject(s)
Gastrointestinal Microbiome , Microbiota , Non-alcoholic Fatty Liver Disease , Humans , Child , Obesity , Prebiotics
3.
Front Cell Infect Microbiol ; 13: 1190910, 2023.
Article in English | MEDLINE | ID: mdl-37577378

ABSTRACT

Introduction: Low diversity gut dysbiosis can take different forms depending on the disease context. In this study, we used shotgun metagenomic sequencing and gas chromatography-mass spectrometry (GC-MS) to compared the metagenomic and metabolomic profiles of Clostridioides (Clostridium) difficile diarrheal cancer and inflammatory bowel disease (IBD) patients and defined the additive effect of C. difficile infection (CDI) on intestinal dysbiosis. Results: The study cohort consisted of 138 case-mix cancer patients, 43 IBD patients, and 45 healthy control individuals. Thirty-three patients were also infected with C. difficile. In the control group, three well-known enterotypes were identified, while the other groups presented with an additional Escherichia-driven enterotype. Bacterial diversity was significantly lower in all groups than in healthy controls, while the highest level of bacterial species richness was observed in cancer patients. Fifty-six bacterial species had abundance levels that differentiated diarrheal patient groups from the control group. Of these species, 52 and 4 (Bacteroides fragilis, Escherichia coli, Klebsiella pneumoniae, and Ruminococcus gnavus) were under-represented and over-represented, respectively, in all diarrheal patient groups. The relative abundances of propionate and butyrate were significantly lower in fecal samples from IBD and CDI patients than in control samples. Isobutyrate, propanate, and butyrate concentrations were lower in cancer, IBD, and CDI samples, respectively. Glycine and valine amino acids were over- represented in diarrheal patients. Conclusion: Our data indicate that different external and internal factors drive comparable profiles of low diversity dysbiosis. While diarrheal-related low diversity dysbiosis may be a consequence of systemic cancer therapy, a similar phenotype is observed in cases of moderate to severe IBD, and in both cases, dysbiosis is exacerbated by incidence of CDI.


Subject(s)
Clostridioides difficile , Clostridium Infections , Inflammatory Bowel Diseases , Neoplasms , Humans , Clostridioides difficile/genetics , Dysbiosis/complications , Dysbiosis/microbiology , Clostridium Infections/microbiology , Inflammatory Bowel Diseases/complications , Inflammatory Bowel Diseases/microbiology , Diarrhea/microbiology , Bacteria/genetics , Butyrates , Neoplasms/complications
4.
Pharmacol Rep ; 75(4): 1026-1042, 2023 Aug.
Article in English | MEDLINE | ID: mdl-37452967

ABSTRACT

BACKGROUND: Mycophenolic acid (MPA) is widely used in posttransplant pharmacotherapy for pediatric patients after renal transplantation. Volumetric absorptive microsampling (VAMS) is a recent approach for sample collection, particularly during therapeutic drug monitoring (TDM). The recommended matrix for MPA determination is plasma (PL), and conversion between capillary-blood VAMS samples and PL concentrations is required for the appropriate interpretation of the results. METHODS: This study aimed to validate and develop a UHPLC-MS/MS method for MPA quantification in whole blood (WB), PL, and VAMS samples, with cross and clinical validation based on regression calculations. Methods were validated in the 0.10-15 µg/mL range for trough MPA concentration measurement according to the European Medicines Agency (EMA) guidelines. Fifty pediatric patients treated with MPA after renal transplantation were included in this study. PL and WB samples were obtained via venipuncture, whereas VAMS samples were collected after the fingerstick. The conversion from VAMSMPA to PLMPA concentration was performed using formulas based on hematocrit values and a regression model. RESULTS: LC-MS/MS methods were successfully developed and validated according to EMA guidelines. The cross-correlation between the methods was evaluated using Passing-Bablok regression, Bland-Altman bias plots, and predictive performance calculations. Clinical validation of the developed method was successfully performed, and the formula based on regression was successfully validated for VAMSMPA to PLMPA concentration and confirmed on an independent group of samples. CONCLUSIONS: This study is the first development of a triple matrix-based LC-MS/MS method for MPA determination in the pediatric population after renal transplantation. For the first time, the developed methods were cross-validated with routinely used HPLC-DAD protocol.


Subject(s)
Kidney Transplantation , Tandem Mass Spectrometry , Humans , Child , Chromatography, High Pressure Liquid/methods , Tandem Mass Spectrometry/methods , Chromatography, Liquid/methods , Mycophenolic Acid , Drug Monitoring/methods
5.
Front Nutr ; 9: 1092846, 2022.
Article in English | MEDLINE | ID: mdl-36726816

ABSTRACT

Introduction: Esports is a category of competitive video games that, in many aspects, may be similar to traditional sports; however, the gut microbiota composition of players has not been yet studied. Materials and methods: Here, we investigated the composition and function of the gut microbiota, as well as short chain fatty acids (SCFAs), and amino acids, in a group of 109 well-characterized Polish male esports players. The results were compared with two reference groups: 25 endurance athletes and 36 healthy students of physical education. DNA and metabolites isolated from fecal samples were analyzed using shotgun metagenomic sequencing and mass spectrometry, respectively. Physical activity and nutritional measures were evaluated by questionnaire. Results: Although anthropometric, physical activity and nutritional measures differentiated esports players from students, there were no differences in bacterial diversity, the Bacteroidetes/Firmicutes ratio, the composition of enterotype clusters, metagenome functional content, or SCFA concentrations. However, there were significant differences between esports players and students with respect to nine bacterial species and nine amino acids. By contrast, all of the above-mentioned measures differentiated professional athletes from esports players and students, with 45 bacteria differentiating professional athletes from the former and 31 from the latter. The only species differentiating all three experimental groups was Parabacteroides distasonis, showing the lowest and highest abundance in esports players and athletes, respectively. Conclusion: Our study confirms the marked impact of intense exercise training on gut microbial structure and function. Differences in lifestyle and dietary habits between esports players and physical education students appear to not have a major effect on the gut microbiota.

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