Metabolic Markers Research Articles

Correlation between hyperlipidemia and serum vitamin D levels in an adult Chinese cohort.

Vitamin D deficiency has emerged as a significant concern in public health due to its potential association with various metabolic disorders. This study aimed to investigate the relationship between serum vitamin D levels and the susceptibility to hyperlipidemia among adults. Using a multi-stage sampling approach, we recruited a cohort of 2072 eligible individuals aged over 18 years. Serum 25-hydroxyvitamin D [25(OH)D] levels were measured alongside glucolipid metabolic markers, and comprehensive demographic and physical data were collected. The cohort exhibited a hyperlipidemia prevalence of 42.18%, with 19.88% demonstrating vitamin D deficiency. Notably, 23.68% of individuals with vitamin D deficiency also presented hyperlipidemia. Statistical analysis revealed a significantly higher prevalence of hyperlipidemia among those with vitamin D deficiency compared to those with sufficient levels (23.68% vs. 17.11%, P < 0.05). After adjusting for various factors including age, geographical region, exercise status, BMI, fasting glucose level, and blood pressure, lower serum 25(OH)D concentrations were found to significantly increase the risk of hyperlipidemia (Odds Ratio [OR] = 1.41; 95% CI: 1.057, 1.885; P < 0.05). Further stratification of the hyperlipidemic cohort revealed that vitamin D deficiency was associated with 1.459- and 1.578-times higher risks for total cholesterol and triglyceride abnormalities, respectively, compared to those with sufficient vitamin D levels. Moreover, each 10 ng/mL decrease in serum vitamin D level corresponded to an increased risk of total cholesterol (OR = 0.82; 95% CI: 0.728, 0.974; P < 0.05) and triglyceride abnormalities (OR = 0.79; 95% CI: 0.678, 0.927; P < 0.05). However, there were no significant differences observed between vitamin D-sufficient and-deficient groups regarding Low-Density Lipoprotein (LDL) and High-Density Lipoprotein (HDL) abnormalities. These findings underscore the potential role of serum vitamin D deficiency as an independent risk factor contributing to the elevated prevalence of hyperlipidemia in the adult population.

Urine Metabolomics during a Legume Diet Intervention Suggests Altered Metabolic Signatures and Potential New Intake Markers: First Insights.

Given the general increase in legume consumption worldwide, there is a need to characterize the resulting human metabolic adaptations in order to demonstrate potential legume diet/health relationships. A nuclear magnetic resonance (NMR) metabolomics urine study was carried out on a small cohort (n = 18) to characterize the excretory effects of a pilot longitudinal 8-week legume-based dietary intervention. Despite the expected high interindividual variability in the excreted metabolome, the results suggested a nonlinear metabolic response, with higher metabolic activity in the first 4 weeks and a tendency toward baseline at the end of the intervention. The excretion of isoleucine, leucine, and threonine increased, along with metabolite changes suggestive of activation of the tricarboxylic acid cycle (through anaplerosis), ketogenesis, fat catabolism, and glycoprotein biosynthesis. Gut microbiota adaptations were also suggested based on the increased excretion of 2-hydroxyisobutyrate, allantoin, and hippurate. Increased levels of trigonelline were consistent with its role as a legume intake marker, whereas malonate and pseudouridine were suggested as possible additional markers. Correlation of NMR data with nutritional parameters aided putative explanatory hypotheses to be advanced. Our results suggest a dynamic response to legume consumption, mainly through increased amino acid excretion and altered energy metabolism, while advancing potential new markers of legume intake. These results require confirmation in larger cohorts but pave the way for an informed interpretation of the effects of legume-based diets on human health.

Prediction of gastrointestinal bleeding hospitalization risk in hemodialysis using machine learning

BackgroundGastrointestinal bleeding (GIB) is a clinical challenge in kidney failure. INSPIRE group assessed if machine learning could determine a hemodialysis (HD) patient’s 180-day GIB hospitalization risk.MethodsAn eXtreme Gradient Boosting (XGBoost) and logistic regression model were developed using an HD dataset in United States (2017–2020). Patient data was randomly split (50% training, 30% validation, and 20% testing). HD treatments ≤ 180 days before GIB hospitalization were classified as positive observations; others were negative. Models considered 1,303 exposures/covariates. Performance was measured using unseen testing data.ResultsIncidence of 180-day GIB hospitalization was 1.18% in HD population (n = 451,579), and 1.12% in testing dataset (n = 38,853). XGBoost showed area under the receiver operating curve (AUROC) = 0.74 (95% confidence interval (CI) 0.72, 0.76) versus logistic regression showed AUROC = 0.68 (95% CI 0.66, 0.71). Sensitivity and specificity were 65.3% (60.9, 69.7) and 68.0% (67.6, 68.5) for XGBoost versus 68.9% (64.7, 73.0) and 57.0% (56.5, 57.5) for logistic regression, respectively. Associations in exposures were consistent for many factors. Both models showed GIB hospitalization risk was associated with older age, disturbances in anemia/iron indices, recent all-cause hospitalizations, and bone mineral metabolism markers. XGBoost showed high importance on outcome prediction for serum 25 hydroxy (25OH) vitamin D levels, while logistic regression showed high importance for parathyroid hormone (PTH) levels.ConclusionsMachine learning can be considered for early detection of GIB event risk in HD. XGBoost outperforms logistic regression, yet both appear suitable. External and prospective validation of these models is needed. Association between bone mineral metabolism markers and GIB events was unexpected and warrants investigation.Trial registrationThis retrospective analysis of real-world data was not a prospective clinical trial and registration is not applicable.Graphical

Effect of a Physical Exercise Intervention on Physical Function Parameters and Blood Analytical Changes in Lung Cancer Survivors: A Feasibility Study.

Background: Lung cancer carries a high burden of systemic symptoms, including in survivors, leading to a reduced quality of life (QoL). We assessed whether a 12-week multicomponent supervised exercise programme, including muscular strength and aerobic training, was beneficial in patients who had undergone surgery for early non-small cell lung cancer (NSCLC) in terms of physical performance, QoL, and metabolic and nutritional analytical parameters. Methods: Physical performance was measured by gait speed, handgrip strength, 30 s sit-to-stand (30s-STS) test repetitions, distance covered in the 6 min walk test (6MWT), and the Short Physical Performance Battery (SPPB) score. QoL was assessed with the EORTC-QLQ-C30 questionnaire. Blood glucose, cholesterol, triglycerides, total proteins, albumin, pre-albumin, creatinine, c-reactive protein, insulin-growth factor 1 (IGF-1), and the haemoglobin and hematocrit percentages were measured before and after the intervention in order to observe any beneficial effects related to metabolic markers. Results: After the intervention, the mean scores for the 6MWT (p < 0.001), STS (p < 0.001), 6MWT (p < 0.01), and SPPB (p < 0.01) had significantly improved. However, handgrip strength and nutritional analytical were unchanged. The EORTC-QLQ-C30 functions and symptoms significantly improved after the intervention (p < 0.05 and p < 0.01, respectively). A significant decrease in cholesterol, triglycerides, and IGF-1 and a significant increase in pre-albumin in blood was also observed post-intervention (p < 0.05). Conclusions: This supervised, community-based 12-week multicomponent was feasible (adherence rate 70.35%) and provided benefits not only to physical performance but also to the quality of life of patients with NSCLC.

The spinal consequences of HT-2 toxin and selenium deficiency during bone maturation in mice.

In our investigation, we probed the ramifications of low selenium diets and HT-2 mycotoxin exposure on spinal development and structural fidelity in murine models. A cohort of 48 male mice was segregated into six groups: a control set, a singular low selenium diet group, two cohorts exposed to distinct concentrations of HT-2 toxin (1.6 and 3.2 mg/kg·bw·d), and two assemblies subjected to a confluence of low selenium intake and each designated HT-2 dosage. Across an 8-week investigative period, parameters such as body mass, markers of bone metabolism, and cellular vigor were assiduously monitored. Analytical techniques encompassed biomechanical assessments, X-ray scrutiny, and micro-computed tomography (micro-CT) evaluations. Our results unveiled a dose-dependent diminution in the body mass of mice exclusively exposed to HT-2 toxin, whereas concurrent exposure to both low selenium and HT-2 toxins elicited a synergistic effect. Pertinent shifts were observed in calcium, phosphorus, and vitamin D concentrations, as well as in the operational dynamics of osteoblasts and osteoclasts, aligning with toxin dosage and combined exposure. Variations in biomechanical attributes were also discerned, mirroring the levels of toxin exposure. Micro-CT and X-ray examinations further corroborated the extensive detrimental impact on the cortical and trabecular architecture of the mice's spinal columns. This inquiry elucidates the complex synergistic interactions between low selenium and HT-2 mycotoxin on murine spinal development and integrity under co-exposure conditions. These findings accentuate the exigency of comprehensively understanding the solitary and joint effects of these toxins on osseous health, providing pivotal insights for future toxicological research and public health strategies.

P08.06.B TARGETED PLASMA METABOLOMICS DETECTS A METABOLIC SIGNATURE POTENTIALLY RELEVANT FOR DIAGNOSIS AND PROGNOSIS IN PATIENTS WITH GLIOBLASTOMA

Abstract BACKGROUND Glioblastoma diagnosis is made initially with radiological examination and pathological examination of the resected tumor. Debut symptoms may vary and be mild in the beginning therefore diagnosis can be delayed. Additional un-invasive diagnostic strategies can be useful for diagnosis and clinical follow up. Moreover, despite glioblastoma being almost invariably fatal, there are no clinically established plasma biomarkers to define prognosis in patients with glioblastoma. MATERIAL AND METHODS In this study we employed flow injection analysis tandem mass spectrometry to compare the plasma metabolic profile of patients with GBM (n=51) and healthy controls (n=24). RESULTS Principal Component Analysis (PCA) and Partial Least Discriminant Analysis (PLS-DA) highlighted a distinctive glioblastoma signature. The best confusion matrix from the ROC curve built on two metabolites, GLU and GLN-LYS, provided specificity of 87% and sensitivity of 92%, with positive and negative predictive values of 95% and 88%, respectively. Multivariate survival analyses revealed that higher levels of ALA, MET, ORN, PHE, TYR were to be associated with a shorter overall survival. CONCLUSION These results are currently being evaluated prospectively and at different stages of disease in a larger cohort of patients with glioblastoma to identify plasma metabolic markers relevant for recurrence development.

Low dietary magnesium and fiber intakes among women with metabolic syndrome in Kuwait.

Metabolic syndrome (MetS) is a growing health concern among Kuwaiti women. Dietary magnesium and fiber have been implicated in reducing the risk of MetS; however, their specific effects on this population remain underexplored. This study aimed to investigate the association of dietary magnesium and fiber intake with the prevalence of MetS and its components among women in Kuwait. This study included 170 women aged 18-65 (years) recruited from AL-Adan Hospital, Mubarak Hospital, and Riqqa Polyclinic. Data were collected using a modified Semi-Quantitative Food Frequency Questionnaire (SFFQ) to assess dietary intake, and biochemical measurements were performed to evaluate serum magnesium and other metabolic markers. MetS was diagnosed according to International Diabetes Federation (IDF) and Adult Treatment Panel III (ATP III) criteria. Statistical analyses included Mann-Whitney U-tests, chi-square tests, Spearman correlations, logistic and linear regression models, and Cohen's kappa statistics. The prevalence of MetS was 24 and 18% based on the IDF and ATP III criteria, respectively. Women with MetS had significantly lower dietary magnesium and fiber intakes than those in women without MetS (p < 0.001). A strong positive correlation was found among dietary magnesium intake, fiber intake, and serum magnesium levels (r = 0.957, p < 0.001 for magnesium; r = 0.917, p < 0.001 for fiber). Increased dietary magnesium and fiber intakes were linked to reduced odds of developing MetS and its components, except for blood pressure measurements. Cohen's kappa demonstrated a strong agreement (K = 0.70, p < 0.001) between dietary and serum magnesium inadequacy. Increased dietary intakes of magnesium and fiber are associated with reduced odds of developing MetS among Kuwaiti women. These findings support the promotion of magnesium- and fiber-rich diets as preventive strategies against MetS.

Pro-inflammatory cytokines increase temporarily after adjuvant treatment for breast cancer in postmenopausal women: a longitudinal study

BackgroundBreast cancer patients have an increased risk of cardiometabolic disease and for many patients, adjuvant therapy causes an altered lipid profile, insulin resistance and inflammation. Previous follow-up studies are inconclusive regarding the duration of therapy-induced inflammation. We examined the acute and persistent changes of adjuvant chemotherapy on inflammatory and metabolic health markers in breast cancer patients.MethodsPlasma levels of IL-6, IL-8, IL-10, IFN-γ, TNF-α, high-sensitivity C-reactive protein (hsCRP) and metabolic health parameters were analyzed before, shortly after and every six months up to two years after adjuvant chemotherapy treatment in 51 postmenopausal early breast cancer (EBC) patients, as well as in 41 healthy age- and BMI-matched controls. A target-specific multiplex assay was applied for cytokine measurements.ResultsBefore initiation of adjuvant therapy, plasma IL-8 levels were higher in EBC patients (31%, p = 0.0001). Also, a larger proportion of the patients had a hsCRP level above 2 mg/L (41%) compared to the controls (17%, Χ2 = 5.15, p = 0.023). Plasma levels of all five cytokines, but not hsCRP, were significantly increased after compared to before adjuvant chemotherapy (15–48% increase; all p ≤ 0.05). Already six months after ending chemotherapy treatment, all plasma cytokine levels were significantly reduced and close to pre-chemotherapy levels. Adjuvant chemotherapy caused a worsened lipid profile (increased triglycerides, lower HDL levels), insulin resistance and increased plasma insulin levels that remained high during the first year after chemotherapy.ConclusionPostmenopausal women with EBC have temporarily increased plasma levels of pro-inflammatory cytokines after adjuvant chemotherapy. Although transient, the therapy-induced increase in plasma cytokine levels, together with dyslipidemia and insulin resistance, may contribute to cardiometabolic risk in breast cancer patients treated with adjuvant chemotherapy.Trial registration The clinical trial (registration number NCT03784651) was registered on www.clinicaltrials.gov on 24 December 2018.

Fecal microbiome analysis uncovers hidden stress effects of low stocking density on rainbow trout

BackgroundRecirculating aquaculture systems can cause chronic stress in fish when stocking density is too high. However, this study tested whether low stocking density can cause fish stress. Adult rainbow trout, with an average weight of 1.517 kg (± 0.39), were subjected to low (12 kg/m3 ± 0.94) and moderate (43 kg/m3 ± 2.03) stocking densities for 24 days in a recirculating system maintained at 15 °C. At the end of the experiment, fecal microbiome analysis was carried out using a 16S rRNA amplicon sequencing. Additionally, an untargeted plasma metabolomics analysis was conducted.ResultsThe moderate stocking density group harboured greater numbers of commensals, such as C. somerae, R. lituseburensis, and L. plantarum. In contrast, detrimental species such as S. putrifacens and P. putida were abundant in the low-stocking density fish. Functional microbiome profiling revealed vitamin B12 salvage and synthesis in moderate stocking densities, which may support intestinal tight junction function. Additionally, vitamin B1 biosynthesis pathways were more abundant in the moderate stocking density group, which may function towards oxidative energy metabolism and protect against oxidative stress. A complementary plasma metabolomics study, although done at slightly different stocking densities and duration, confirmed the presence of blood metabolic stress markers. Elevated levels of L-lactic acid and L-Norvaline, L-Valine, and L-glutamine, indicate low stocking density fish were under stress. Furthermore, a P4HA2 stress gene biomarker confirmed the occurrence of stress in low-density fish. This study suggests that low stocking density can induce stress in fish. Moreover, moderate stocking density leads to a distinct and beneficial fecal microbiome profile.ConclusionOur study highlights the potential benefits of optimizing the stocking density of fish in recirculating aquaculture systems. This can improve fish health and welfare, promoting a more resilient fecal microbiome.Graphical abstract

Associations of the cardiometabolic index with insulin resistance, prediabetes, and diabetes in U.S. adults: a cross-sectional study

BackgroundThe cardiometabolic index (CMI) is a novel metric for assessing cardiometabolic health and type 2 diabetes mellitus (DM), yet its relationship with insulin resistance (IR) and prediabetes (preDM) is not well-studied. There is also a gap in understanding the nonlinear associations between CMI and these conditions. Our study aimed to elucidate these associations.MethodsWe included 13,142 adults from the National Health and Nutrition Examination Survey (NHANES) 2007–2020. CMI was calculated by multiplying the triglyceride-to-high density lipoprotein cholesterol (TG/HDL-C) by waist-to-height ratio (WHtR). Using weighted multivariable linear and logistic regression explored the relationships of CMI with glucose metabolism markers, IR, preDM, and DM. Nonlinear associations were assessed using generalized additive models (GAM), smooth curve fittings, and two-piecewise logistic regression.ResultsMultivariate regression revealed positive correlations between CMI and glucose metabolic biomarkers, including FBG (β = 0.08, 95% CI: 0.06–0.10), HbA1c (β = 0.26, 95% CI: 0.22–0.31), FSI (β = 4.88, 95% CI: 4.23–5.54), and HOMA-IR (β = 1.85, 95% CI: 1.56–2.14). There were also significant correlations between CMI and increased risk of IR (OR = 3.51, 95% CI: 2.94–4.20), preDM (OR = 1.49, 95% CI: 1.29–1.71), and DM (OR = 2.22, 95% CI: 2.00-2.47). Inverse nonlinear L-shaped associations were found between CMI and IR, preDM, and DM, with saturation inflection points at 1.1, 1.45, and 1.6, respectively. Below these thresholds, increments in CMI significantly correlated with heightened risks of IR, preDM, and DM.ConclusionsCMI exhibited inverse L-shaped nonlinear relationships with IR, preDM, and DM, suggesting that reducing CMI to a certain level might significantly prevent these conditions.

A Clinicodemographic Study of Indian Patients with Hidradenitis Suppurativa and its Association with Metabolic Syndrome

Abstract Background: Hidradenitis suppurativa (HS) is a chronic inflammatory disorder affecting pilosebaceous units causing painful nodules, abscesses, and scarring. Despite global studies linking HS to metabolic syndrome, insights specific to Indian patients are limited. Materials and Methods: This study aimed to describe the clinicodemographic characteristics and study frequency of metabolic syndrome in Indian HS patients. In this cross-sectional study, 100 HS patients were evaluated for clinical characteristics, comorbidities, pain and suppuration scores, quality of life, and ophthalmological and dental abnormalities. Metabolic parameters, including anthropometry and blood markers, were performed in all cases and 100 age- and gender-matched controls. Results: The mean age was 29.47 years, with a male predominance of 57%. HS predominantly affected a combination of two or more sites (60%), with nodules as primary lesions (95%). Quality of life was significantly impaired, with 49% experiencing moderate impact as per Dermatology Life Quality Index. Metabolic derangements, represented by an increased body mass index, waist circumference, blood pressure, fasting blood sugar, and fasting insulin, were significantly more frequent in HS cases compared to controls (P &lt; 0.001). The frequency of metabolic syndrome in HS patients was 42%, significantly higher than controls (8%, P &lt; 0.001) with a relative risk of 5.25 (95% CI 2.68–10.58). Dental and ophthalmological abnormalities were observed in 35% and 21.7% of screened patients, respectively. Limitations: Cross-sectional nature, no prospective assessment to determine evolution with time, and limited patient number are the limitations of the study. Conclusion: A substantial association with metabolic syndrome and considerable impact on quality of life is seen in Indian HS patients, emphasizing the need for metabolic screening and holistic management strategies.

Comprehensive Review of Dietary Supplements Used by Athletes: Types and Benefits

Introduction. A dietary supplement is intended to improve nutrition by providing vitamins, minerals, herbs, or amino acids. These supplements are taken orally, labeled as supplements, and are not meant to be a substitute for regular food. The increasing interest in strength training and fitness emphasizes the significance of proper nutrition. Engaging in physical activity reduces the risk of disease and enhances mental health. More research is required to understand the impact of supplements on performance, health, and the gut microbiome. Aim of study. The primary objective of this research is to compile existing data on dietary supplements commonly utilized in sports, including but not limited to creatine, protein, branched-chain amino acids, omega-3 fatty acids, and L-citrulline. Materials and methods. 50 articles pertaining to the issue were subjected to analysis. These articles were sourced from PubMed and Google Scholar, spanning a publication period of 19 years. Conclusions. Creatine supplementation consistently enhances strength, endurance, and lean mass, particularly when combined with resistance and plyometric training, although its impact on fat mass is modest. Whey protein effectively promotes muscle mass and strength, especially in older adults, and aids in recovery from exercise-induced muscle damage. Branched-Chain Amino Acids can reduce muscle soreness and assist in recovery, but their effects on performance and muscle damage are less pronounced. Omega-3 fatty acids improve muscle recovery and metabolic markers, but exhibit limited synergy with resistance training. L-citrulline elevates arginine levels and improves vascular function, yet its effects on performance are minimal in certain contexts.

Device-measured stationary behaviour and cardiovascular and orthostatic circulatory disease incidence.

Previous studies have indicated that standing may be beneficially associated with surrogate metabolic markers, whereas more time spent sitting has an adverse association. Studies assessing the dose-response associations of standing, sitting and composite stationary behaviour time with cardiovascular disease (CVD) and orthostatic circulatory disease are scarce and show an unclear picture. To examine associations of daily sitting, standing and stationary time with CVD and orthostatic circulatory disease incidence. We used accelerometer data from 83 013 adults (mean age ± standard deviation = 61.3 ± 7.8; female = 55.6%) from the UK Biobank to assess daily time spent sitting and standing. Major CVD was defined as coronary heart disease, heart failure and stroke. Orthostatic circulatory disease was defined as orthostatic hypotension, varicose vein, chronic venous insufficiency and venous ulcers. To estimate the dose-response hazard ratios (HR) we used Cox proportional hazards regression models and restricted cubic splines. The Fine-Gray subdistribution method was used to account for competing risks. During 6.9 (±0.9) years of follow-up, 6829 CVD and 2042 orthostatic circulatory disease events occurred. When stationary time exceeded 12 h/day, orthostatic circulatory disease risk was higher by an average HR (95% confidence interval) of 0.22 (0.16, 0.29) per hour. Every additional hour above 10 h/day of sitting was associated with a 0.26 (0.18, 0.36) higher risk. Standing more than 2 h/day was associated with an 0.11 (0.05, 0.18) higher risk for every additional 30 min/day. For major CVD, when stationary time exceeded 12 h/day, risk was higher by an average of 0.13 (0.10, 0.16) per hour. Sitting time was associated with a 0.15 (0.11, 0.19) higher risk per extra hour. Time spent standing was not associated with major CVD risk. Time spent standing was not associated with CVD risk but was associated with higher orthostatic circulatory disease risk. Time spent sitting above 10 h/day was associated with both higher orthostatic circulatory disease and major CVD risk. The deleterious associations of overall stationary time were primarily driven by sitting. Collectively, our findings indicate increasing standing time as a prescription may not lower major CVD risk and may lead to higher orthostatic circulatory disease risk.

Metabolic kinetics and muscle and brain health markers in older adults, and the role of age and presence of chronic morbidities: A large cross-sectional cohort study

Background & aimsOlder adults are at risk for muscle and cognitive function decline during advanced aging, but the underlying metabolic mechanisms and the role of aging-associated chronic morbidities remain unclear. In the present study, we examined whether protein and amino acid kinetics in older adults with and without chronic morbidities are different when 50-70 and 70-90 of age and related to markers of muscle and brain health declines. MethodsIn a large cross-sectional observational study, 575 older adults from 12 trials (2014-2022) were stratified based on their age (50-70y vs. 70-95y) and the presence of chronic morbidities. The main outcomes were whole-body production (WBP) and interconversions of amino acids by stable amino acid tracers, body composition, and muscle and cognitive performance. Additionally, the association between metabolic markers and muscle and brain health was assessed. ResultsOverall lower muscle strength, muscle and fat mass, and cognitive function (p<0.03), but no mood disturbances, were found in 70-95y compared to 50-70y older adults. Presence of morbidities was associated with lower muscle strength and mass, and cognitive function, but higher visceral adipose tissue, and mood disturbances (p<0.05). Aging was associated with suppressed WBP of most amino acids, de novo arginine production, and net protein breakdown, but higher myofibrillar protein breakdown (p<0.007). Presence of morbidities was associated with lower WBP of glutamine, glutamate, histidine, isoleucine, phenylalanine, tyrosine, and net protein breakdown, and higher WBP of valine and taurine (p<0.04). Age showed significant negative correlations with WBP of nearly all amino acids, de novo arginine production and net protein breakdown (r: [-0.407, -0.136], p<0.01) but a positive correlation with WBP of myofibrillar protein breakdown (r=0.133, p=0.009). Lean mass showed positive correlations with de novo arginine production and net protein breakdown and WBP of all amino acids except for isoleucine (r: [0.16, 0.799], p<0.005). Worse cognitive performance was positively associated with WBP of tau-methylhistidine and taurine (r: [0.13, 0.141], p<0.04), but negatively associated with WBP of glycine, valine, and net protein breakdown (r: [-0.222, -0.135], p<0.05). ConclusionComprehensive phenotyping of a large group of older adults revealed differences in metabolic health in response to advanced aging and chronic morbidities. Poor muscle health accompanied by advanced aging was associated with overall metabolic downregulation, except for enhanced myofibrillar (muscle) protein breakdown. Presence of chronic morbidities was further associated with disturbed muscle health, mood, arginine, and taurine pathways, and higher visceral adipose tissue. Therefore, different phenotypes among older adults need to be considered when evaluating therapeutic approaches to improve muscle and brain health.

Impact of the Mediterranean Diet on Athletic Performance, Muscle Strength, Body Composition, and Antioxidant Markers in Both Athletes and Non-Professional Athletes: A Systematic Review of Intervention Trials.

Background: The Mediterranean Diet (MD) has gained attention for its potential benefits in enhancing athletic performance and overall health. This systematic review aims to evaluate the effects of the MD on athletic performance, strength, body composition, and metabolic markers in both athletes and non-professional athletes. Methods: The review included seven studies with a total of 116 participants, ranging from professional handball players to non-professional strength athletes. The studies assessed various aspects of athletic performance, including strength, power, endurance, and body composition. Results: The main key findings from the review showed that MD may improve muscle endurance and power, as well as anaerobic performance in CrossFit athletes, and MD was associated with enhanced strength performance, including increased vertical jump height, hand grip strength, and shuttle run performance. The results on the impact on body composition were mixed, with some studies showing improvements in fat-free mass and skeletal muscle mass, while others found no significant changes. The MD also demonstrated positive effects on several markers, such as increased plasma total antioxidant activity and decreased markers of oxidative stress and inflammation. Conclusions: In conclusion, while the MD seems to represent a viable dietary strategy for enhancing athletic performance and overall health, more rigorous studies are necessary to clarify its impact across diverse athletic populations.

Low bone mineral density and its influencing factors in spinal muscular atrophy without disease-modifying treatment: a single-centre cross-sectional study

BackgroundChildren with spinal muscular atrophy (SMA) are at risk of low bone mineral density (BMD) and bone fragility. This study aims to assess lumbar spine BMD measured by quantitative computed tomography (QCT) and investigate influencing factors of low BMD in children with SMA without disease-modifying treatment.MethodsDemographic data, laboratory parameters, QCT data, and data on spinal radiographs were collected. A linear regression model was carried out to explore the correlations between BMD and its related factors.ResultsSixty-six patients with SMA who had complete records between July 2017 and July 2023 were analyzed, with SMA with a mean age of 5.4 years (range, 2.4–9.7 years), including type 1 in 14, type 2 in 37, and type 3 in 15. 28.8% of patients (19/66) were diagnosed with low BMD (Z-scores ≤ − 2), and the mean BMD Z-scores on QCT was − 1.5 ± 1.0. In our model, BMD Z-scores was associated with age (β=-0.153, p = 0.001). SMA phenotype and serum bone metabolism markers, such as serum phosphorus (P), alkaline phosphatase (ALP) and 25-Hydroxyvitamin D (25-OH-D) levels did not independently predict low BMD. ROC analysis showed that the age ≥ 6.3 years predicts a Z-scores ≤ -2.0 with a sensitivity of 68.4% and a specificity of 68.1%.ConclusionsLow BMD were highly prevalent in children with SMA without disease-modifying treatment in our centre. Regular monitoring of BMD is necessary for all types of SMA children, especially those aged ≥ 6.3 years.

Morphofunctional characterization of the three main adipose tissue depots in rainbow trout (Oncorhynchus mykiss)

Visceral adipose tissue (VAT) is the primary fat reservoir and energy source in fish. Other relevant fat depots include subcutaneous adipose tissue (SAT), located under epithelial layers, and intramuscular adipose tissue (IMAT), found between the myotomes. The present study investigates the morphological, gene expression and functional characteristics of these different depots in rainbow trout (Oncorhynchus mykiss). Commercial rainbow trout of two different average weights were sampled for histology, lipid quantification and fatty acids profile. Mature adipocytes were isolated for gene expression analyses of lipid metabolic markers. Both VAT and SAT showed large adipocytes, and high total lipid content, suggesting hypertrophic growth. Adipocytes in IMAT were consistently smaller regardless of fish size. While fatty acid composition was similar across depots, SAT had lower levels of palmitic acid and higher levels of polyunsaturated fatty acids that act as precursors of phospholipids and eicosanoids such as eicosapentaenoic acid, compared to VAT and IMAT. Gene expression analyses revealed higher levels of fatty acid transporters, lipolysis and β-oxidation markers in VAT and SAT compared to IMAT, suggesting a more active lipid metabolism. These data support the role of VAT as the main energy depot, while SAT may act as a secondary reservoir, and IMAT potentially serves as an occasional energy source for muscles. This study provides valuable insights into the distinct properties of the different fat depots in fish, which may help to optimize strategies to modulate adiposity for improved health, metabolism, and product quality.

Effect of resveratrol supplementation on metabolic risk markers and anthropometric parameters in individuals with obesity or overweight: A systematic review and meta-analysis of randomized controlled trials

BackgroundObesity, a progressively widespread disease with a multifaceted etiology, affects nearly 800 million people worldwide. Recent trials suggest that resveratrol, a polyphenolic compound, can be effective for metabolic risk markers and anthropometric parameters in Individuals with Obesity or Overweight. However, a comprehensive analysis is necessary to consolidate these results. ObjectivesTo evaluate the impact of 4-week resveratrol supplementation on metabolic risk markers and anthropometric parameters in individuals with obesity or overweight. MethodsA comprehensive search was executed across PubMed, Cochrane Library, Scopus, Google Scholar, and clinicaltrials.gov, yielding 43 studies after the omission of 20 duplicates. RevMan 5.4 software was used to statistically analyze randomized controlled studies to gauge the impact of resveratrol on the said outcomes in Individuals with Obesity or Overweight. Quality of bias and potential publication bias were measured using the Cochrane Risk of Bias tool and CMA4 software, respectively. Certainty of the evidence was appraised using GRADEpro software. Data was quantified as the standardized mean difference (SMD) and 95 % confidence intervals (CI). ResultsThe meta-analysis included 5 trials with 419 participants, evaluating the effect of intervention. Resveratrol showed no significant impact on triglycerides (SMD = 0.11, 95%CI [-0.14, 0.35], P = 0.39, I2 = 0 %), total cholesterol (SMD = 0.04, 95%CI [-0.26, 0.33], P = 0.82, I2 = 0 %), or HbA1c (SMD = 0.00, 95%CI [-0.99, 1.00], P = 0.99, I2 = 80 %). Similarly, no significant effect was observed for insulin levels (SMD = −0.00, 95%CI [-0.25, 0.24], P = 0.97, I2 = 0 %), AST (SMD = 0.15, 95%CI [-0.35, 0.65], P = 0.55, I2 = 0 %), or ALT (SMD = −0.03, 95%CI [-0.46, 0.39], P = 0.98, I2 = 0 %). Additionally, resveratrol had no significant effect on BMI (MD = 0.21, 95%CI [-0.970, 1.39], P = 0.70, I2 = 0 %). ConclusionsOur results tagged with p-value>0.05 are an evidence-based indication that resveratrol supplementation does not lead to significant improvements in metabolic or anthropometric parameters. This suggests that resveratrol may not be an effective standalone intervention for managing obesity-related outcomes. Therefore, future research should be redirected to evaluating its potential effects on other health metrics to elucidate its efficacy and therapeutic potential better.

Clustering-based risk stratification of prediabetes populations: Insights from the Taiwan and UK Biobanks.

This study aimed to identify low- and high-risk diabetes groups within prediabetes populations using data from the Taiwan Biobank (TWB) and UK Biobank (UKB) through a clustering-based Unsupervised Learning (UL) approach, to inform targeted type 2 diabetes (T2D) interventions. Data from TWB and UKB, comprising clinical and genetic information, were analyzed. Prediabetes was defined by glucose thresholds, and incident T2D was identified through follow-up data. K-means clustering was performed on prediabetes participants using significant features determined through logistic regression and LASSO. Cluster stability was assessed using mean Jaccard similarity, silhouette score, and the elbow method. We identified two stable clusters representing high- and low-risk diabetes groups in both biobanks. The high-risk clusters showed higher diabetes incidence, with 15.7% in TWB and 13.0% in UKB, compared to 7.3% and 9.1% in the low-risk clusters, respectively. Notably, males were predominant in the high-risk groups, constituting 76.6% in TWB and 52.7% in UKB. In TWB, the high-risk group also exhibited significantly higher BMI, fasting glucose, and triglycerides, while UKB showed marginal significance in BMI and other metabolic indicators. Current smoking was significantly associated with increased diabetes risk in the TWB high-risk group (P < 0.001). Kaplan-Meier curves indicated significant differences in diabetes complication incidences between clusters. UL effectively identified risk-specific groups within prediabetes populations, with high-risk groups strongly associated male gender, higher BMI, smoking, and metabolic markers. Tailored preventive strategies, particularly for young males in Taiwan, are crucial to reducing T2D risk.

Characterization of the pattern of development of key compounds contributing to aroma quality of chicken meat and their metabolic markers

Characterization of the pattern of development of key compounds contributing to aroma quality of chicken meat and their metabolic markers