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Imbalanced dietary intake is associated with the development of inflammatory bowel diseases (IBDs) and is often observed during the active phases of Crohn's disease (CD) and ulcerative colitis (UC). Cumulative data also suggest the potential for dietary manipulation in avoiding IBD relapse. However, there is a paucity of dietary data from patients in clinical remission to guide such an approach. Our study aimed to characterize the dietary pattern and adequacy of patients with IBD in clinical remission. Data on dietary intake (three alternate 24 h food records) were collected from 40 patients with IBD (20 CD and 20 UC) and 45 gender-matched healthy controls (HC). Statistical comparisons between patients and controls employed Student's t-test, Mann-Whitney U, chi-squared, and Fisher's exact tests. The adequacy of dietary intake of IBD patients was further studied by assessing the nutrient inadequacy prevalence, estimated using the Dietary Reference Intakes (DRI) framework and the Estimated Average Requirement (EAR) parameter. We observed significant dietary imbalances among patients with IBD compared to the HC group, marked by disparities in both macronutrient and micronutrient intakes. Inadequacies with frequencies >80% were observed for the ingestion of total fiber and 13 micronutrients in IBD patients. Our preliminary findings suggest that imbalanced dietary intake is also characteristic among individuals with IBD during clinical remission, corroborating the need for dietary interventions in this population.

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Gut microbiota has been implicated in various clinical conditions, yet the substantial heterogeneity in gut microbiota research results necessitates a more sophisticated approach than merely identifying statistically different microbial taxa between healthy and unhealthy individuals. Our study seeks to not only select microbial taxa but also explore their synergy with phenotypic host variables to develop novel predictive models for specific clinical conditions. DESIGN: We assessed 50 healthy and 152 unhealthy individuals for phenotypic variables (PV) and gut microbiota (GM) composition by 16S rRNA gene sequencing. The entire modeling process was conducted in the R environment using the Random Forest algorithm. Model performance was assessed through ROC curve construction. RESULTS: We evaluated 52 bacterial taxa and pre-selected PV (p < 0.05) for their contribution to the final models. Across all diseases, the models achieved their best performance when GM and PV data were integrated. Notably, the integrated predictive models demonstrated exceptional performance for rheumatoid arthritis (AUC = 88.03%), type 2 diabetes (AUC = 96.96%), systemic lupus erythematosus (AUC = 98.4%), and type 1 diabetes (AUC = 86.19%). CONCLUSION: Our findings underscore that the selection of bacterial taxa based solely on differences in relative abundance between groups is insufficient to serve as clinical markers. Machine learning techniques are essential for mitigating the considerable variability observed within gut microbiota. In our study, the use of microbial taxa alone exhibited limited predictive power for health outcomes, while the integration of phenotypic variables into predictive models substantially enhanced their predictive capabilities.

What is Already Known on this Subject? While the gut microbiota has been implicated as potential signatures or biomarkers for various clinical conditions, the establishment of causality in humans remains largely elusive.The role of the gut microbiota in maintaining the host organism's proper physiological function is well-established, yet data regarding the composition of the gut microbiota in disease states often suffer from poor reproducibility.What Are the New Findings? Our study demonstrates that relying solely on differences in the relative abundance of bacterial taxa between groups falls short as a means of identifying clinical markers.We advocate the use of robust statistical tools, such as bootstrapping, to mitigate the substantial variability observed in gut microbiota studies, thereby enhancing the reproducibility of research findings.Our findings underscore the limited predictive power of microbial taxa in isolation for health outcomes.The integration of phenotypic variables into predictive models with gut microbiota significantly augments the ability to predict health outcomes.How This Study Might Advance Research Despite the growing enthusiasm for using gut microbiota as biomarkers for various clinical conditions, the lack of standardization throughout the research process impedes progress in this field.Our study emphasizes the necessity of rigorously testing predictions of clinical conditions based on gut microbiota using bootstrapping techniques, promoting greater reproducibility in research findings.

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Practical and affordable tools to screen intestinal dysbiosis are needed to support clinical decision making. Our study aimed to design a new subjective screening tool for the risk of intestinal dysbiosis from a previously described nonvalidated questionnaire (DYS/FQM) and based on subjective and objective data. A total of 219 individuals comprised the chronic diseases (CD; n = 167) and healthy control (HC; 52 subjects) groups. Sociodemographic, anthropometric, body composition, lifestyle, past history, intestinal health, and dietary data were collected. The gut microbiota (GM) profile was assessed from fecal samples using the 16S rRNA sequencing. Scores for the new tool (Dys-R Questionnaire) were assigned using discrete optimization techniques. The association between Dys-R scores and dysbiosis risk was assessed through correlation, simple linear models, sensitivity, specificity, as well as positive and negative predictive values. We found significant differences in the Chao1 Index between CD and HC groups (adjusted p-value = 0.029), highlighting lower GM richness as the primary marker for intestinal dysbiosis. DYS/FQM showed poor performance in identifying poor GM richness. Dys-R exhibited a 42% sensitivity, 82% specificity, 79% positive predictive value (PPV), and 55% negative predictive value (NPV) to identify poor GM richness. The new Dys-R questionnaire showed good performance in ruling out dysbiosis.

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Poor nutrition increases the risk of diseases and adverse health outcomes in older adults. We evaluated the potential inadequacy of nutrient intake among older adults in Brazil and its association with body anthropometry and composition outcomes. Dietary intake was obtained from 295 community-living older adults (>60 years old), of both genders, using a seven-day food record. Nutrient inadequacy was further identified based on the Dietary Reference Intakes and European Guidelines. Skeletal muscle mass (SM), strength and performance, and the diagnosis of sarcopenia were assessed using reference methods. Nutritional inadequacy was high, with energy, dietary fiber, and six micronutrients exhibiting the greatest inadequacy levels (>80%). Energy intake was correlated with SM strength (p = 0.000) and performance (p = 0.001). Inadequate energy, fiber, and protein intakes influenced BMI, while inadequate intake of vitamin B6 directly affected the diagnosis of sarcopenia (p ≤ 0.005). Further research is required to investigate whether these inadequacies can be associated with other clinical health outcomes.

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PURPOSE OF REVIEW: Cachexia is a complex, multifactorial syndrome primarily characterized by weight loss, muscle wasting, anorexia, and systemic inflammation. It is prevalent in cancer patients and is associated with a poor prognosis, including lower resistance to intervention toxicity, quality of life, and survival, compared to patients without the syndrome. The gut microbiota and its metabolites have been shown to influence host metabolism and immune response. Our article reviews the current evidence suggesting a role of gut microbiota in the development and progression of cachexia, while discussing the potential mechanisms involved. We also describe promising interventions targeting gut microbiota aiming to improve outcomes related to cachexia. RECENT FINDINGS: Dysbiosis, an imbalance in gut microbiota, has been associated with cancer cachexia through pathways involving muscle wasting, inflammation, and gut barrier dysfunction. Interventions targeting gut microbiota, such as probiotics, prebiotics, synbiotics, and fecal microbiota transplantation, have shown promising results in managing this syndrome in animal models. However, evidence in humans is currently limited. SUMMARY: Mechanisms linking gut microbiota and cancer cachexia need to be further explored, and additional human research is necessary to evaluate the appropriate dosages, safety, and long-term outcomes of prebiotic and probiotic use in microbiota management for cancer cachexia.

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The etiology of systemic lupus erythematosus (SLE) remains unclear, with both genetic and environmental factors potentially contributing. This study aimed to explore the relationship among gut microbiota (GM), intestinal permeability, and food intake with inflammatory markers in inactive SLE patients. A total of 22 women with inactive SLE and 20 healthy volunteers were enrolled, and dietary intake was assessed through 24-h dietary recalls. Plasma zonulin was used to evaluate intestinal permeability, while GM was determined by 16S rRNA sequencing. Regression models were used to analyze laboratory markers of lupus disease (C3 and C4 complement and C-reactive protein). Our results showed that the genus Megamonas was significantly enriched in the iSLE group (p < 0.001), with Megamonas funiformis associated with all evaluated laboratory tests (p < 0.05). Plasma zonulin was associated with C3 levels (p = 0.016), and sodium intake was negatively associated with C3 and C4 levels (p < 0.05). A combined model incorporating variables from each group (GM, intestinal permeability, and food intake) demonstrated a significant association with C3 complement levels (p < 0.01). These findings suggest that increased Megamonas funiformis abundance, elevated plasma zonulin, and higher sodium intake may contribute to reduced C3 complement levels in women with inactive SLE.

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Roux-en-Y Gastric bypass (RYGB) promotes improvement in type 2 diabetes (T2D) shortly after surgery, with metabolic mechanisms yet to be elucidated. This study aimed to investigate the relationship between food intake, tryptophan metabolism, and gut microbiota on the glycemic control of obese T2D women after RYGB surgery. Twenty T2D women who underwent RYGB were evaluated before and three months after surgery. Food intake data were obtained by a seven-day food record and a food frequency questionnaire. Tryptophan metabolites were determined by untargeted metabolomic analysis, and the gut microbiota was determined by 16S rRNA sequencing. The glycemic outcomes were fasting blood glucose, HbA1C, HOMA-IR, and HOMA-beta. Linear regression models were applied to assess the associations between the changes in food intake, tryptophan metabolism, and gut microbiota on glycemic control after RYGB. All variables changed after RYGB (p < 0.05), except for tryptophan intake. Jointly, the variation in red meat intake, plasma indole-3-acetate, and Dorea longicatena was associated with postoperative HOMA-IR {R2 0.80, R2 adj 0.74; p < 0.01}. Red meat intake decreased three months after bariatric surgery while indole-3-acetate and Dorea longicatena increased in the same period. These combined variables were associated with better insulin resistance in T2D women after RYGB.

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Metabolic syndrome (MetS) is a cluster of metabolic risk factors for diabetes, coronary heart disease, non-alcoholic fatty liver disease, and some tumors. It includes insulin resistance, visceral adiposity, hypertension, and dyslipidemia. MetS is primarily linked to lipotoxicity, with ectopic fat deposition from fat storage exhaustion, more than obesity per se. Excessive intake of long-chain saturated fatty acid and sugar closely relates to lipotoxicity and MetS through several pathways, including toll-like receptor 4 activation, peroxisome proliferator-activated receptor-gamma regulation (PPARγ), sphingolipids remodeling, and protein kinase C activation. These mechanisms prompt mitochondrial dysfunction, which plays a key role in disrupting the metabolism of fatty acids and proteins and in developing insulin resistance. By contrast, the intake of monounsaturated, polyunsaturated, and medium-chain saturated (low-dose) fatty acids, as well as plant-based proteins and whey protein, favors an improvement in sphingolipid composition and metabolic profile. Along with dietary modification, regular exercises including aerobic, resistance, or combined training can target sphingolipid metabolism and improve mitochondrial function and MetS components. This review aimed to summarize the main dietary and biochemical aspects related to the physiopathology of MetS and its implications for mitochondrial machinery while discussing the potential role of diet and exercise in counteracting this complex clustering of metabolic dysfunctions.

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BACKGROUND: Eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), naturally abundant in fish oil (FO), are known for their anti-inflammatory and potential antioxidant properties. The aim in this article is to evaluate the effect of the infusion of a parenteral FO-containing lipid emulsion on markers of liver lipid peroxidation and oxidative stress in rats undergoing central venous catheterization (CVC). METHODS: After 5-day acclimatization, adult Lewis rats (n = 42) receiving a 20-g/day AIN-93M oral diet were randomly subdivided into four groups: (1) basal control (BC) (n = 6), without CVC or LE infusion; (2) SHAM (n = 12), with CVC but without LE infusion; (3) soybean oil (SO)/medium-chain triglyceride (MCT) (n = 12), with CVC and receiving LE without FO (4.3 g/kg fat); and (4) SO/MCT/FO (n = 12), with CVC and receiving LE containing 10% FO (4.3 g/kg fat). Animals from the BC group were euthanized immediately after acclimatization. The remaining groups of animals were euthanized after 48 or 72 h of surgical follow-up to assess profiles of liver and plasma fatty acids by gas chromatography, liver gene transcription factor Nrf2, F2-isoprostane lipid peroxidation biomarker, and the antioxidant enzymes glutathione peroxidase (GPx), superoxide dismutase (SOD), and catalase (CAT) by enzyme-linked immunosorbent assay. R program (version 3.2.2) was utilized for data analysis. RESULTS: Compared with the other groups, liver EPA and DHA levels were higher in the SO/MCT/FO group, which also showed the highest liver Nrf2, GPx, SOD, and CAT levels and lower liver F2-isoprostane (P < 0.05). CONCLUSION: Experimental delivery of FO via EPA and DHA sources in a parenteral LE was associated with a liver antioxidant effect.

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BACKGROUND: Gastrointestinal and sensory manifestations (GSMs) of coronavirus disease 2019 (COVID-19) may affect food intake, resulting in malnutrition and poor outcomes. We characterized the impact of GSMs and oral nutrition supplementation on energy-protein intake (EPI) and hospital discharge in adult patients with COVID-19. METHODS: Patients from two hospitals were enrolled (n = 357). We recorded the presence and type of GSM at admission, estimated energy requirements (EER) and the EPI based on regular food intake (plate diagram sheets) during hospital stays. Patients not achieving 60% of their EER from food over 2 consecutive days received oral nutrition supplementation (ONS) with a high-energy-protein oral drink. RESULTS: Most patients (63.6%) presented with GSMs at admission. Anorexia was the most common manifestation (44%). Patients with anorexia or more than one GSMs were more likely to not achieve 60% EER on the first day of follow-up and to require the ONS intervention (P ≤ 0.050). Prevalence of at least one GSM was higher in patients who did not achieve hospital discharge than in patients who achieved it (74.2% vs 54.6%, P = 0.038). The patients requiring ONS (26.9%) demonstrated good adherence to the intervention (79.3%), achieved their EER during 95.7% of the supplementation time, and presented with hospital discharge rates similar to patients not requiring ONS (92.2% vs 91.9%, respectively; P = 1.000). CONCLUSIONS: GSM were prevalent in COVID-19 and it impaired EER attendance and patient recovery. ONS was well-tolerated, aided EER attendance, and potentially facilitated hospital discharge.

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