Metabolites最新文献

Background: Drug-induced liver injury (DILI), a major type of adverse drug reaction, has become one of the leading causes of acute liver injury and liver failure worldwide. Its clinical significance lies not only in acute hepatocyte necrosis and functional failure but also in its role as a key initiating factor for liver cancer progression. Therefore, early diagnosis of DILI is of great importance.

Methods: This study employed ultra-performance liquid chromatography-mass spectrometry (UPLC-MS/MS) to perform widely targeted metabolomics analysis on acetaminophen (APAP)-induced liver injury mice and healthy mice.

Results: UPLC-QTRAP-MS/MS identified 41 differentially expressed metabolites primarily involved in glycerophospholipid metabolism, arginine and proline metabolism, primary bile acid biosynthesis, and glutathione metabolism pathways. The significant elevation of serum and hepatic alanine aminotransferase (ALT) and aspartate aminotransferase (AST) confirmed the successful establishment of the drug-induced liver injury (DILI) model. ROC curve analysis indicated 11 metabolites with AUC values exceeding 0.90 as potential biomarkers, including (R)-2-Hydroxybutyric acid, Glu-Gln, γ-Glu-Gln, 2-Methyllactic acid, L-Serine, Hyodeoxycholic acid, 3-Epideoxycholic acid, and Glycochenodeoxycholic acid 7-sulfate.

Conclusions: We propose that these differential metabolites may serve as candidate biomarkers for DILI. Our findings provide a novel metabolomic signature derived directly from the injured tissue and offer a theoretical foundation for further research into early diagnosis of drug-induced liver injury.

This protocol details an optimized step-by-step procedure for performing the Seahorse XF Cell Mito Stress Test on human umbilical vein endothelial cells (HUVECs) using the Agilent Seahorse XF Pro Analyzer. Designed to address practical challenges often overlooked in standard manuals, the method preserves the native adherent state of HUVECs-a key in vitro model in vascular aging (VA) research-enabling real-time, label-free measurement of mitochondrial respiration and glycolytic function without cell detachment. The workflow is presented chronologically, covering instrument preparation, cell seeding, compound loading, assay execution, and post-assay normalization, with integrated notes and troubleshooting tips refined through hands-on experience based on the official manuals. This protocol aims to set up a detailed, rearranged standard workflow to improve experimental efficiency, reduce operator error, and support reproducible and well-organized metabolic profiling of HUVECs in aging and cardiovascular studies.

Background: Adipose tissue surrounds organs and tissues in the body and can alter their function. It could secrete diverse biological molecules, including lipids, cytokines, hormones, and metabolites. In light of all this information, obesity can influence many tissues and organs in the body, and this situation makes obesity a central contributor to multiple disorders. It is very important to investigate the crosstalk between tissues and organs in the body to clarify the key mechanisms of obesity.

Methods: In this study, we analyzed the gene expression profiles of the liver, skeletal muscle, blood, visceral, and subcutaneous adipose tissue. Differentially expressed genes (DEGs) were identified for each tissue, and functional enrichment and protein-protein interaction network analyses were performed on genes commonly identified across tissues. Priority candidate genes were identified using network-based centrality measures, and potential molecular intersection points were explored through host-pathogen interaction network analysis. This study provides an integrative framework for characterizing inter-tissue molecular patterns associated with obesity at the network level.

Results: The muscle, subcutaneous adipose tissue, and blood have the highest number of DEGs. The subcutaneous adipose tissue and blood stand out due to the number of DEGs they possess, although liver and visceral adipose tissue have lower amounts. Cancer ranks first in terms of diseases associated with obesity, and this association is accompanied by leukemia, lymphoma, and gastric cancer. RPL15 and RBM39 are the top genes in both degree and betweenness metrics. The host-pathogen interaction network consists of 13 unique-host proteins, 54 unique-pathogen proteins, and 27 unique-pathogen organisms, and the Influenza A virus had the highest interaction. There were a small number of common metabolites in all tissues: 2-Oxoglutarate, Adenosine, Succinate, and D-mannose.

Conclusions: In this study, we aimed to identify candidate molecules for obesity using an integrative approach, examining the gene profiles of different organs and tissues. The findings of this study suggest a possible link between obesity and immune-related biological processes. The network obtained from the host-pathogen interaction analysis, and especially the pathways associated with viral infections that stand out in the functional enrichment analysis, may overlap with molecular signatures linked to obesity. Furthermore, the co-occurrence of cytokine signaling, insulin, and glucose metabolism pathways in the enrichment results indicates that the response of cells to insulin may be affected in obese individuals, suggesting a potential interaction between immune and metabolic processes; however, further experimental validation is needed to reveal the direct functional effects of these relationships.

Objectives: We aimed to investigate the effects of 6 weeks of leucine supplementation on athletic performance, central fatigue, and serum metabolome in endurance athletes, and to provide valuable insights into nutritional strategies for endurance athletes. Methods: Twenty cross-country skiers were recruited and randomized into 2 groups: the placebo (PLA) group and the leucine (LEU) group. Subjects were given leucine (8.5 g) + sucrose (14 g) or only sucrose (14 g) supplements twice each day from Monday to Saturday for 6 weeks. Test parameters include body composition, aerobic capacity, isokinetic muscle strength, blood biochemistry, and targeted metabolomics. Results: After intervention, compared to the PLA group (1) the ankle muscle strength (p = 0.01), VO₂max (p = 0.01) and valine in serum (p = 0.03) were increased in the LEU group. (2) Targeted metabolomics results showed that the differential metabolites were enriched in the branched chain amino acids (BCAAs) biosynthesis and degradation. (3) The LEU group had a significant increase in α-ketoisovaleric acid (p = 0.03), which can reduce the continuous decomposition of BCAAs. Conclusions: In conclusion, a six-week intervention of leucine supplementation significantly enhanced ankle muscle strength in endurance athletes, likely through a reduction in BCAA catabolism. Additionally, this combined supplementation strategy demonstrated potential benefits in improving aerobic endurance and may contribute to the attenuation of exercise-induced central fatigue.

Objective: Visceral adipose tissue is a primary driver of insulin resistance and dysglycemia in type 2 diabetes (T2D), yet its clinical assessment remains challenging. This study aimed to validate neck circumference (NC) as a novel, practical anthropometric biomarker for estimating visceral fat area (VFA) and identifying metabolic risk in a T2D cohort, facilitating its integration into public health and primary care screening strategies.

Methods: In a cross-sectional study of 1139 T2D patients, we collected data on NC, biochemical parameters (fasting plasma glucose, hemoglobin A1c, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides), and precisely measured VFA and subcutaneous fat area (SFA) via bioelectrical impedance analysis (Omron HDS-2000). We employed Pearson's correlation and multivariate logistic regression to analyze the relationship between NC and metabolic indicators. Receiver operating characteristic (ROC) curve analysis was used to establish sex-specific NC cut-off values for predicting abnormal VFA.

Results: The cohort comprised 687 (60.3%) males and 452 (39.7%) females. NC demonstrated strong positive correlations with VFA (p < 0.001), as did body mass index (BMI), waist-hip ratio (WHR), and SFA. In males, NC was further positively correlated with key metabolic biomarkers including fasting insulin, Insulin Resistance Index, triglycerides, and creatinine. ROC analysis identified NC > 39.5 cm for males and >35.5 cm for females as the optimal cut-off points for detecting abnormal visceral adiposity, highlighting its diagnostic utility.

Conclusions: NC serves as a highly accessible and effective biomarker for visceral adiposity and associated metabolic dysfunction in patients with T2D. The established sex-specific cut-off values provide a simple, non-invasive tool for risk stratification in clinical and public health settings, enabling early intervention and improved management of metabolic disease.

Background/Objectives: Insulin-Resistant Normal Weight and Insulin-Sensitive Obesity are atypical cardiometabolic phenotypes whose clinico-biological features, management, and prognosis are a subject of extensive scientific debate. The current study aimed to assess the prevalence of metabolic phenotypes of obesity and to evaluate their association with markers related to diabesity, adipokines profile, and two single nucleotide polymorphisms of CNR1 gene. Methods: We performed a cross-sectional analysis in a random sample of 487 individuals (53.03 ± 13.71 years, 48.3% male) which were classified based on body mass index (2) and insulin resistance (HOMA-IR cut-off value 2.5) as Insulin-Sensitive/Insulin-Resistant Normal Weight (ISNW/IRNW) and Insulin-Sensitive/Insulin-Resistant Obesity (ISO/IRO). Results: The ISO phenotype frequency was 24.2%, with a higher prevalence in the 40-60 years age group (47.0%) and in men (44.9%), while the prevalence of IRNW was 7.0%, predominating in women (61.8%). Participants with IRNW had a more altered glycoregulation profile (fasting and 2 h OGTT blood glucose, prediabetes, and hyperinsulinism), hypercholesterolemia, and adiposity indices (ABSI) than those with ISNW, but comparable to those with IRO. Participants with ISO had a more favorable glycoregulation profile, lipid profile, adipocytokines, and adiposity indices than those with IRO. IRNW had higher odds of being associated with prediabetes (OR 10.75; p < 0.001) than ISNW, while younger age, CUN-BAE, and ABSI were independently associated with both ISO and IRNW phenotypes. Conclusions: The IRNW phenotype should be actively evaluated to intervene on the cardiometabolic risk, while further studies are needed to confirm the sustainability of the favorable cardiometabolic profile of the ISO phenotype.

The gut immune microenvironment and the liver engage in intricate information exchange via the gut-liver axis. The disruption of these interactions plays a pivotal role in the formation and exacerbation of pathological damage to the liver. The gut immune microenvironment is not an independent layer of the gut barrier; rather, it permeates and regulates all other barrier functions, serving as the core coordinator. Disruption of the immune microenvironment in the gut-liver axis drives progression across the full disease spectrum-from steatosis to hepatitis, fibrosis, and even liver cancer-through the continuous influx of immune-stimulatory signals that overwhelm the liver's intrinsic immune regulatory mechanisms. Dysfunction of innate immunity components, amplification of inflammatory factors and key cellular signaling pathways, activation of adaptive immune T cells, and systemic effects mediated by liver-derived inflammatory factors collectively form a disordered immune microenvironment. This damages the intestinal barrier and exacerbates liver disease via the gut-liver axis, leading to further intestinal injury, thus establishing a self-reinforcing vicious cycle. Current therapeutic strategies based on modulating the gut-liver axis microenvironment remain limited, yet studies have demonstrated that suppressing gut immune cells, cytokines, and signaling pathways can help delay liver disease progression. Hopefully, future combined, precise, and cutting-edge gut immunotherapies will provide more effective strategies for liver disease treatment.

Juvenile idiopathic arthritis (JIA) is the most prevalent chronic rheumatologic condition in childhood, with an incidence that continues to rise worldwide. Despite substantial progress in therapeutic strategies over the past two decades, JIA remains a major health concern. Beyond joint inflammation and musculoskeletal impairment, accumulating evidence indicates that JIA is associated with metabolic disturbances and altered body composition, which may predispose affected children to an elevated cardiovascular risk in the long term. The objective of this review is to synthesize current knowledge on these metabolic and anthropometric alterations and to evaluate the role of non-invasive diagnostic methods in detecting early cardiovascular changes. A narrative review of the literature was conducted using PubMed and Scopus databases, focusing on studies assessing lipid metabolism, insulin resistance, adiposity, and cardiovascular markers in pediatric patients with JIA. Special attention was given to non-invasive diagnostic approaches, including bioelectrical impedance analysis (BIA), dual-energy X-ray absorptiometry (DXA), skinfold thickness, transient elastography, carotid intima-media thickness (cIMT), as well as selected biochemical markers. Evidence suggests that children with JIA frequently present with dyslipidemia, increased insulin resistance, and abnormal body fat distribution compared with their healthy peers. Non-invasive assessment methods, particularly DXA and cIMT, have demonstrated sensitivity in detecting subclinical metabolic and vascular changes. These alterations resemble early features of metabolic syndrome and are thought to contribute to premature cardiovascular morbidity in this population. Incorporating non-invasive cardiovascular risk assessment into routine rheumatology practice may improve early detection of metabolic and vascular complications in JIA, support timely preventive interventions, and ultimately enhance long-term outcomes for affected children. Most available evidence is derived from cross-sectional studies, highlighting the need for longitudinal investigations to better define long-term cardiometabolic risk in JIA.

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Background: Vitamin D deficiency (VDD) is highly prevalent among people living with human immunodeficiency virus (HIV), with reported rates of insufficiency and deficiency substantially higher than in many general-population cohorts. This study aims to assess the prevalence of vitamin D deficiency and to investigate the risk factors contributing to its occurrence among people living with HIV who are receiving antiretroviral therapy (ART) and are registered at the Craiova Regional Center (CRC).

Methods: A retrospective study was conducted from May 2024 to August 2024, including individuals with HIV aged 18 years and older who were registered at the CRC.

Results: A total of 138 patients were included in the study. The prevalence of vitamin D deficiency (<20 ng/mL) and vitamin D insufficiency (20-29.9 ng/mL) was 36.2% and 33.3%, respectively, with an average vitamin D level of 26.4 ± 9.9 ng/mL. Vitamin D deficiency was associated with obesity (p = 0.0013), high HIV viral load (p = 0.043), low CD4 nadir (<200 cells/mm³, p = 0.006), prolonged ART exposure (p = 0.002), and the use of tenofovir disoproxil fumarate or protease inhibitor-containing regimens (p = 0.034 and p = 0.016, respectively).

Conclusions: These findings indicate that monitoring vitamin D levels could be particularly relevant for patients with HIV with higher-risk profiles. However, our study included a relatively small number of participants, so further research in larger cohorts is needed to better understand these patterns.