Nutrients最新文献

Background: Bile acids participate in several metabolic processes, and disturbances in their circulating profiles are commonly observed in type 2 diabetes. In a cohort of older adults, individuals with diabetes exhibited markedly lower concentrations of metabolites derived from lithocholic acid. These findings prompted further evaluation of the metabolic effects of lithocholic acid. Methods: We assessed the actions of lithocholic acid in a mouse model of diabetes induced by a high-fat diet and streptozotocin. Fasting glucose, insulin levels, lipid parameters, and measures of insulin resistance were evaluated. Gut microbial composition, short-chain fatty acids, fecal enzyme activities, intestinal barrier markers, and bile acid patterns were analyzed. In vitro assays examined the direct effects of lithocholic acid on A. muciniphila and bile acid metabolism. Results: Lithocholic acid supplementation lowered fasting glucose and insulin levels and improved insulin resistance. It shifted the gut microbial community toward a healthier structure, increased the abundance of A. muciniphila, and raised short-chain fatty acid concentrations. Fecal bile salt hydrolase and β-glucuronidase activity declined, and intestinal barrier markers improved. Lithocholic acid enhanced TGR5 expression and reduced FXR signaling in the ileum. In vitro, physiologically relevant concentrations promoted A. muciniphila growth and altered microbial bile acid metabolism. Conclusions: Lithocholic acid influences the interactions among gut microbes, bile acid pathways, and host metabolic regulation. These findings suggest that this compound may have value as a dietary component that supports metabolic health in type 2 diabetes.

Background/Objectives: The increasing prevalence of overweight and obesity in adolescents represents a major global health concern. Adolescent weight gain frequently shows additional metabolic risk factors, including insulin resistance, hypertension, and dyslipidemia, whose co-occurrence defines the metabolic syndrome (MetS). Adherence to a healthy dietary pattern, such as the Mediterranean Diet (MD), has been shown to reduce the metabolic risk among adolescents. Skin carotenoid score has emerged as an objective and non-invasive indicator of MD adherence; however, its relationship with a cluster of metabolic parameters which characterize the MetS, including the triglyceride levels, diastolic blood pressure, and waist circumference, remains poorly explored. Here, we investigated the role of skin carotenoid score as an early biomarker of metabolic syndrome risk in adolescents. Methods: A sample of 634 healthy adolescents underwent anthropometric and clinical measurements, blood sample collection, and evaluation of the MD adherence by the Mediterranean Diet Quality Index for Children and Adolescents (KIDMED) questionnaire and the skin carotenoid levels by the Veggie Meter^®. Student's t-test, chi-square test, Pearson correlation, and the multivariable linear regression model were used for analyses. Results: Participants had a mean BMI Z-score of 0.02 ± 1.01; the metabolic serum profile and the cardiovascular parameters were within the normal range. Mean KIDMED and skin carotenoid scores were 5.21 ± 2.56 and 357 ± 96.58, respectively. Skin carotenoids were positively associated with height (p = 0.02), while they were inversely associated with weight (p = 0.008), BMI Z-score (p < 0.0001), diastolic blood pressure (p = 0.013), and triglycerides (p = 0.003). Moreover, the carotenoid score was positively associated with male gender and KIDMED score and negatively associated with waist circumference and triglyceride levels in multivariable regression analyses. Conclusions: Our results suggested the potential application of skin carotenoid score as a complementary biomarker for the early identification of adolescents at increased metabolic risk.

The bilberry is a low-growing plant native to northern Europe. It belongs to the genus Vaccinium. Bilberry is essential in the local diets of some countries and is used as an herbal medicine to manage several ailments. Still, it is not used for commercial farming in many countries. It has recently been known as a great source of naturally available bioactive compounds and colorants. Bilberry is a therapeutic fruit acknowledged for its rich flavonoids, anthocyanins, carotenoids, ascorbic acid, phenolic acid, tocopherols, and vitamin content. It is one of the richest sources of natural anthocyanins. The polyphenolic compounds in bilberry provide abundant antioxidant content, which are supposed to be the vital bioactive compounds accountable for various health benefits. Even though bilberry is mostly promoted for eye care or vision improvement. It is also stated to promote antioxidant defense and lower oxidative stress, having antiaging, anti-inflammatory, lipid-lowering, antimicrobial effects, lowering blood glucose and other age-related diseases, etc. Reports suggest that apart from the fruit, the leaves of bilberry are equally rich in numerous bioactive compounds of medicinal importance. This current review offers valuable insights on bilberry fruits, leaves, and extracts, providing an inclusive assessment of their bioactive compound configuration, related biological prospects, and the extraction methodology of their major compounds. This review offers a summary of the existing information on the antiaging potential of bilberry fruits and leaves, and analytically reviews the outcome of clinical trials, with special attention towards its medicinal properties.

Background: Dietary transitions toward Westernized patterns (WDPs) (high in processed foods, sugars, and fats) pose a global public health challenge. The Westernized Diet Index (WDI) measures adherence to these patterns. However, its validity with respect to metabolic biomarkers warrants thorough evaluation for use in epidemiological and clinical research.

Objectives: This study validates the WDI using metabolic biomarkers (including anthropometrics, blood pressure, fasting blood glucose (FBG), triglycerides, HDL-c, LDL-c, and total cholesterol), examines its association with metabolic syndrome (MetS), and compares scoring methods to identify the most effective measure of WDPs adherence.

Methods: Data from 10,146 participants in the Fasa Adult Cohort Study (FACS) were used. We calculated the WDI using global (WDI-G) and population (WDI-P) Z scores and food group (WDI-FG)-based algorithms. Validation employed logistic and linear regression, ROC (receiver operating characteristic) curves, Youden's index, and k-means clustering.

Results: All WDI scoring methods (across all methods, higher scores indicated lower adherence to WDPs) demonstrated a strong, significant association with all three MetS definitions (WHO, NCEP: ATPIII, and IDF) and nearly all investigated metabolic biomarkers. In fully adjusted logistic models, WDI Global (WDI-G) (OR: 0.23) and WDI Food Groups (WDI-FG) (OR: 0.26) were significantly associated with MetS (based on the WHO definition). Also, in fully adjusted linear regression models, a 10% increase (reflecting lower adherence to WDPs) in the WDI-G score (range: -2.03 to 1.11) was significantly associated with a 3.96 mg/dL reduction in FBG and a 2.61 cm reduction in waist circumference. Additionally, ROC curves (AUC: 0.57-0.61) demonstrated that WDI predicts MetS with moderate accuracy. The strongest associations were observed with population-based scoring. In addition, based on comparative performance, WDI-G, WDI-P, and WDI-FG appear most suitable for cross-population, within-cohort, and mechanistic or intervention-focused research, respectively.

Conclusions: The WDI shows promise as a nutritional tool for assessing adherence to WDPs and exploring associations with metabolic health outcomes, including MetS. These findings suggest that the WDI may be useful in future dietary, public health, and clinical research, although further validation in diverse populations is warranted.

Social connection is a key pillar of human life that is instrumental to the health and well-being of all, regardless of culture, ethnicity, or age [...].

Background/Objectives: Tea and coffee, two of the most widely consumed beverages worldwide, play important roles in supporting overall health. Changes in the urine proteome reflect the changes in the body influenced by beverage consumption, rather than beverage metabolites. In this study, the effects of teas with different fermentation levels and black coffee on the body were explored via urine proteomics analysis. Methods: Urine samples were collected from rats before and after seven consecutive days of consuming green tea, oolong tea, black tea, Pu-erh tea, or black coffee. Both before-and-after comparisons and between-group comparisons were performed, and the samples were analyzed using liquid chromatography coupled with tandem mass spectrometry. Results: The urine proteome reflected the changes in rats after consumption of teas or black coffee for one week. Biological processes and pathways enriched with differential proteins included fat cell differentiation, lipid metabolism, glucose metabolism, fatty acid transport, and immune response. The effects of teas with different fermentation levels and black coffee on the body exhibited a high degree of specificity. Additionally, several identified differential proteins have been reported as biomarkers for diseases such as cancer and cardiovascular diseases. This suggests that beverage consumption, including tea and black coffee, should be considered in urine biomarker research. And the use of biomarker panels may be necessary to improve accuracy. Conclusions: The urine proteome provides a comprehensive and systematic reflection of the effects of all components in teas and black coffee on the body and allows for the distinction of changes in the body after consumption of teas with different fermentation levels and black coffee.

Zinc is an essential micronutrient involved in structural, catalytic, and regulatory functions across all levels of biological organization. Despite substantial advances over the past two decades, the zinc literature remains highly fragmented, with mechanistic, nutritional, and clinical findings often reported in isolation. Additionally, the synergistic interactions between zinc and other micronutrients-particularly minerals and vitamins-are dispersed across multiple research domains, complicating efforts to understand their integrated roles in maintaining homeostasis. Recent developments in artificial intelligence (AI) present new opportunities to consolidate these data, enabling multi-scale analyses of zinc-dependent processes and the broader zinc interactome. Although a complete map of the zinc interactome is not yet feasible, an integrative perspective is needed to contextualize zinc's contributions within the framework of the hallmarks of health. This narrative review highlights zinc's involvement in cellular maintenance, metabolic regulation, stress response, and systemic physiological function. It further examines how disruptions in zinc status, alone or in combination with other nutrient imbalances, contribute to clinically relevant disorders. By combining current knowledge across molecular, cellular, and systems biology levels, this review illustrates zinc's pleiotropic effects on physiological resilience and healthspan, with particular emphasis on its role in nutritional status, homeostatic regulation, and overall human health.

Non-communicable diseases, particularly cardiovascular diseases (CVD) and metabolic syndrome (MS), remain a major challenge for primary health care (PHC). This study aimed to assess cardiometabolic risk and health behaviours in adult PHC patients using routine preventive screening. This prospective observational study included 506 adults attending routine consultations in an urban PHC centre in Poland. Preventive assessment included anthropometric measurements (body weight, height, BMI, and waist circumference), blood pressure, lipid profile, and fasting glucose levels. Health behaviours were recorded using the standardised NFZ CHUK questionnaire. The 10-year CVD risk was estimated using the SCORE2 algorithm. Multivariable logistic regression was used to identify independent factors associated with high cardiovascular risk (SCORE2 ≥ 5%) and of a composite endpoint defined as the presence of any non-optimal biochemical parameter. Nearly half of the participants had excess body weight (overweight or obesity), and more than half met criteria for central obesity. Borderline or elevated total cholesterol was found in 47% of patients, abnormal LDL in 27%, low HDL-C (<40 mg/dL) in 80% (84% when applying sex-specific cut-offs), and impaired fasting glucose or diabetes in about 12%. High SCORE2 risk (≥5%) was observed in approximately 9% of the cohort. In multivariable models, SCORE2 components (age, sex, and smoking) were, as expected, associated with high SCORE2 risk, and obesity (BMI ≥ 30 kg/m²)-a factor not included in SCORE2-was additionally associated with higher risk. Additionally, age, male sex, and obesity also predicted the presence of at least one non-optimal biochemical marker. The prevalence of high SCORE2 risk increased from 1.2% in patients with 0-1 modifiable risk factor to 25.7% in those with 4-5 factors. Lower educational attainment was associated with a higher proportion of high-risk individuals in univariate analysis. Routine preventive activities in PHC enable the identification of important lipid and glucose abnormalities and the clustering of modifiable risk factors, even in a relatively young, highly educated population. Systematic cardiovascular screening and a focus on patients with accumulated risk factors should remain a priority in PHC to enable early identification of high-risk patients and timely implementation of lifestyle and therapeutic interventions.

Background: China's rapidly aging population demonstrates the importance of conducting an accurate resting metabolic rate (RMR, kcal/day) assessment to mitigate geriatric nutritional imbalances-amid concurrent undernutrition (e.g., ~1/3 with protein insufficiency) and overnutrition (e.g., high obesity and type 2 diabetes rates). While RMR prediction equations exist for other populations, none are specific to Chinese older adults. This study aimed to develop and validate population-specific RMR prediction equations for community-dwelling Chinese older adults. Methods: A total of 189 healthy participants (Aged 69.5 ± 6.3, range: 60-94 years; BMI: 24.0 ± 3.1 kg/m²) were recruited from the Shanghai, China, community. RMR was measured via indirect calorimetry, and body composition via dual-energy X-ray absorptiometry. Results: Two novel prediction equations were derived: Cai1 (fat-free mass [FFM] + age): RMR = 1393.019 - (11.112 × age) + (11.963 × FFM); R² = 0.572, and Cai2 (sex + age + weight [WT]): RMR = 1537.513 + (91.038 × sex) - (11.515 × age) + (5.436 × WT); R² = 0.528. Both novel prediction equations achieved 82.5% adequacy (predicted RMR within 90-110% of measured values), minimal systematic bias (%) (-0.72% and -1.08%) and strong positive correlations with measured RMR (r = 0.792 and 0.773, both p < 0.001). Bland-Altman analysis confirmed no systematic bias. In contrast, 11 widely used published prediction equations (e.g., Harris-Benedict, Mifflin-St. Jeor) exhibited significant overestimation (systematic bias +8.39% to +38.03%). Conclusions: The novel population-specific RMR equations outperform published ones, providing a clinically reliable tool for individualized energy prescription in nutritional interventions to support healthy aging in Chinese older adults.

Background: Probable sarcopenia, indicated by low handgrip strength, is a prevalent condition among hospitalized older adults and may reflect broader functional and nutritional decline.

Methods: We examined differences in nutritional, functional, and cognitive status between Alzheimer's clinical syndrome (ACS) patients with probable sarcopenia and those without sarcopenia. A cross-sectional analysis was conducted on 194 hospitalized older adults with ACS. Probable sarcopenia was defined using European Working Group on Sarcopenia in Older People (EWGSOP2) handgrip strength thresholds.

Results: Patients with probable sarcopenia (n = 137) had significantly lower Mini-Mental State Examination (MMSE) scores, Geriatric Nutritional Risk Index (GNRI), albumin, hemoglobin, and gait speed compared to those without. After age and sex adjustment, MMSE (p = 0.023), GNRI (p = 0.002), hemoglobin (p = 0.022), albumin (p = 0.003), and gait speed (p < 0.001) remained significantly different. In the sex- and age-adjusted multivariable model (adjusted R² = 0.442), higher nutritional risk (β = 0.26, p = < 0.001), lower MMSE scores (β = 0.17, p = 0.029), polypharmacy (β = -4.20, p = 0.002), and slower gait speed (β = 4.12, p = 0.010) were associated with reduced handgrip strength. In the multivariable binary logistic regression model (adjusted for age and sex), moderate or high nutritional risk and slow gait speed emerged as independent predictors of probable sarcopenia, with OR 5.14 (95% CI 1.34-19.75; p = 0.017) and OR 3.13 (95% CI 1.30-7.52; p = 0.011), respectively.

Conclusions: Probable sarcopenia in hospitalized older adults with ACS is highly prevalent and is associated with higher nutritional risk, poorer cognitive and physical function, and polypharmacy; its early recognition may help to guide more targeted nutritional and functional interventions.