Search Results (1,055)

Apples are highly susceptible to fungal infections, particularly by Alternaria species, which can lead to fruit deterioration and mycotoxin contamination during storage. This study aimed to evaluate the potential of untargeted liquid chromatography–high-resolution mass spectrometry (LC-HRMS) as a control-oriented strategy to detect Alternaria-infected apples under retail and long-term storage conditions. Healthy Red Delicious apples were artificially inoculated with three Alternaria tenuissima strains on the fruit surface or core and incubated at 25 °C or 4 °C. Extracts were analysed by UPLC-HRMS in both positive and negative electrospray ionisation modes, followed by multivariate chemometric analysis. Principal component analysis and partial least squares discriminant analysis consistently discriminated infected from non-infected apples, independent of strain, infection site, or incubation temperature. Feature selection based on variable importance values significantly improved model robustness and predictive performance. The metabolomic profiles also enabled discrimination according to Alternaria strain, infection site, storage temperature, and selected combinations of these factors. The results demonstrate that LC-HRMS-based untargeted metabolomics could provide a statistically robust framework for detecting Alternaria tenuissima infection in apples under the studied conditions. Full article

Species of the Opuntia genus are widely recognized for their richness in bioactive metabolites and antioxidant potential, particularly in their cladodes. However, despite increasing interest in cochineal-resistant cultivars, their genotoxic safety remains poorly explored. In this study, the phytochemical composition, antioxidant activity, and genotoxic effects of cladode extracts from three Dactylopius opuntiae-resistant Opuntia species (O. ficus-indica, O. robusta, and O. stricta) collected in eastern Morocco were comparatively evaluated. Hydroethanolic extracts were characterized for their biochemical composition and screened for antioxidant activity using DPPH, β-carotene bleaching, FRAP, and total antioxidant capacity assays. An untargeted UHPLC-Orbitrap MS/MS approach was applied to profile secondary metabolites, while genotoxicity was assessed using the comet assay on rat leukocyte DNA. The three species exhibited distinct phytochemical and antioxidant profiles. O. ficus-indica showed the highest total phenolic and flavonoid contents and the strongest radical scavenging and reducing capacities, whereas O. stricta was particularly rich in ascorbic acid and exhibited the highest total antioxidant capacity. Metabolomic analysis revealed a predominance of phenolic acids and flavonoids, with piscidic acid as a major constituent, along with isorhamnetin derivatives and organic acids. Importantly, none of the extracts induced genotoxic effects compared to the negative control, while all differed significantly from the oxidative damage induced by hydrogen peroxide. Overall, these findings demonstrate the phytochemical richness, antioxidant potential, and genotoxic safety of cochineal-resistant Opuntia cladodes, supporting their sustainable valorization in food, nutraceutical, cosmetic, and agricultural applications. Full article

Environmental scientists are increasingly monitoring therapeutic drugs and their metabolites in water systems, requiring knowledge of human drug metabolism and excretion. Many published studies, however, rely on data from small-scale human metabolism trials, typically involving around six (healthy, young, male) volunteers. Their generalizability to real-world drug users may be limited, potentially biasing environmental monitoring efforts. Here, we leveraged untargeted LC-SWATH/MS pharmacometabolomics data from 283 potential living kidney donors and 688 kidney transplant recipients to characterize the 24 h urinary excretion profiles of two widely used diuretics frequently monitored in wastewater, hydrochlorothiazide and furosemide. Both are expected to be excreted largely unchanged, which our analyses confirmed. For hydrochlorothiazide, however, we also identified (using reference standards) the previously underreported transformation products chlorothiazide and salamide. These findings highlight the relevance and capability of using untargeted metabolomics data from human excreta to provide insights from large, real-world cohorts into which chemicals enter wastewater systems, with both drugs serving as exemplary case studies for analogous analyses of other drugs. In particular, the qualitative information obtained (e.g., accurate mass, retention time, fragment spectra) may inform targeted biomonitoring and highlight cases where consensus-based estimates of excreted drug or metabolite fractions are overestimated. Full article

This study evaluated the efficiency and ecotoxicological impact of the Fenton oxidation process with different metal-based catalysts (FeSO₄, CuSO₄, MnSO₄) in removing pharmaceuticals and organic contaminants from real hospital wastewater. All catalytic systems achieved high oxidation, with COD reduction reaching 81–89% after 4 h. Two complementary approaches were applied: targeted LC-MS/MS quantification of a model mixture of antibiotics and pharmaceuticals, and untargeted GC-MS/MS screening method for assessing the overall organic contaminant profile. Toxicity was assessed using Microtox^®. Targeted analysis showed complete or near-complete degradation of β-lactams, tetracyclines and most sulfonamides, with slightly lower removal for sulfamethoxazole in FeSO₄ system (96%). Fluoroquinolones and selected pharmaceuticals, such as caffeine and propranolol were more resistant, particularly with CuSO₄ and MnSO₄ catalysts. The untargeted GC-MS/MS screening revealed the highest overall reduction in chromatographic peak areas for FeSO₄ (70%), followed by MnSO₄ (39%) and CuSO₄ (36%). GC-MS/MS profiling confirmed that the Fe-catalyzed process was the most effective in reducing the total chromatographic peak area (70%). However, ecotoxicological assays revealed a significant increase in toxicity post-treatment, with growth inhibition of Allivibrio fischeri reaching 98%. This suggests that high oxidation does not directly correlate with biological safety, likely due to the presence of unconsumed reagents or the formation of transformation products with higher acute toxicity. These findings emphasize the necessity of integrating bioassays into treatment evaluation protocols to assess the true environmental risk of treated effluents. Full article

Background: Glutaric aciduria type-1 (GA-1) is a genetic disorder caused by glutaryl-coenzyme A dehydrogenase deficiency, leading to the accumulation of glutaryl-CoA and its derivatives. Clinical manifestations include neurological abnormalities; however, the underlying pathological mechanisms remain unclear. Early diagnosis and intervention are crucial for minimizing adverse outcomes. To date, diagnostic methods have certain limitations, and there is a critical need for a sensitive biomarker for diagnosis. We aimed to characterize metabolic dysregulation and identify candidate biomarkers associated with GA-1 in biochemically confirmed patients compared to age- and sex-matched control subjects. Methodology: Untargeted metabolomics profiling of GA-1 patients (n = 29) was compared to matched control subjects by age and sex. Multivariate and univariate statistical analyses were performed to identify dysregulated metabolites. Results: Our findings revealed 220 endogenous human metabolites. Notably, there was a strong enrichment in carboxylic acids and derivatives, including amino acids and derivatives, hydroxy and keto acids, fatty acyls, sphingolipids, phosphatidylcholines, and nucleotides and nucleosides. Pathway analysis indicates alterations in the biosynthesis of cardiolipin and phosphatidylcholine, as well as in pyrimidine metabolism, the urea cycle, and amino sugar metabolism. We demonstrated a robust performance model for 6-Methylnonanoyl-CoA, displaying strong discriminative power. Conclusions: We identified broad dysregulation across various biochemical classes, reflecting an imbalance in energy metabolism that involves carbohydrate and lipid pathways. The results also highlight dysregulation in sphingolipids, phospholipids, and nucleotide metabolism. These findings are preliminary and the clinical relevance of these findings in patients with GA-1 requires further investigation. We identified candidate biomarkers capable of distinguishing GA-1 patients from controls; however, these findings require validation in independent cohorts. Full article

Methyl jasmonate (MeJA) is a defence-related phytohormone that triggers metabolic reprogramming in grapevines and modulates pathways associated with stress responses and secondary metabolism. However, the temporal organisation of leaf metabolic responses following MeJA elicitation remains insufficiently characterised. In this study, an untargeted metabolomic approach based on UPLC-QTOF-MS was applied to investigate the time-resolved metabolic response of Vitis vinifera L. cv. Tempranillo leaves following foliar application of 10 mM MeJA under controlled greenhouse conditions. Leaf samples were collected at 0, 3, 6, 18, 24, and 48 h post-treatment. After quality filtering, 2552 metabolite features were detected, of which 40 discriminant features met stringent statistical criteria (maximum fold change ≥ 2 and p ≤ 0.05). Putative annotation according to Metabolomics Standards Initiative guidelines (MSI levels 2–3) revealed modulation of several metabolite classes, including carbohydrate-derived conjugates, terpenoid-related metabolites, hydroxycinnamic acid derivatives, and flavonoid-associated compounds. Temporal profiling revealed structured and non-monotonic metabolic responses characterised by rapid early changes between 3 and 6 h, followed by delayed accumulation patterns peaking around 24 h. Early phases were mainly associated with carbohydrate-related metabolites, suggesting rapid redistribution of carbon resources after elicitor perception. These results indicate that MeJA-induced metabolic adjustment in Tempranillo leaves occurs through temporally differentiated response phases rather than a uniform metabolic shift, providing a time-resolved metabolomic framework for interpreting elicitor-driven defence responses in grapevine. Full article

Background/Objectives: Acute exercise remodels many interconnected biochemical pathways in metabolically active tissues. This remodeling involves the activation of the energy-sensing AMP-activated protein kinase (AMPK) to maintain cellular energy homeostasis. Critical energy reserves of glycogen, primarily stored in liver and skeletal muscle and known to interact with AMPK, are utilized to help meet increased energy demands with exercise. However, the breadth of metabolic pathways regulated by acute exercise and AMPK’s interactive roles with glycogen remain incompletely understood. This study therefore aimed to map mouse liver and skeletal muscle metabolite responses to continuous acute exercise and disruption of AMPK-glycogen interactions. Methods: Liquid chromatography–mass spectrometry-based untargeted metabolomics was used to measure the relative abundance of liver and gastrocnemius muscle metabolites at rest and following an acute bout of continuous treadmill running in wild type (WT) and AMPK transgenic mice with double knock-in (DKI) mutations in the β subunit carbohydrate binding module that mediates glycogen binding. Results: Over 200 total metabolites were identified/annotated across liver and skeletal muscle, including 45 metabolites responsive to exercise (p < 0.05; FDR < 0.1). Exercise-regulated metabolites included known metabolic pathways and metabolites never associated or with only emerging evidence related to exercise (e.g., ergothioneine) and/or AMPK-glycogen interactions (N6,N6,N6-trimethyl-L-lysine, a precursor of L-carnitine). Conclusions: Liver and skeletal muscle metabolomic profiles displayed shifts between WT and DKI mice at rest, with shifts also detected following a continuous acute exercise bout. An interaction effect was also observed in skeletal muscle, suggesting differential muscle metabolite responses to acute exercise in DKI mice that may contribute to their functional impairments in metabolic control and exercise capacity versus WT. Collectively, these findings expand the molecular landscape of acute exercise and reveal liver and muscle metabolites underlying exercise-induced metabolic responses. Full article

Seahorses exhibit significant nutritional functions, including antioxidant and anti-tumor properties, with species like Hippocampus abdominalis and Hippocampus erectus now commercially farmed on a large scale. Notably, lipids are the key bioactive components distinguishing marine from terrestrial organisms. However, the lipidomic profiles of these cultured species are rarely reported, limiting their targeted nutritional application. Therefore, this study aimed to characterize and compare the lipid profiles of the newly introduced H. abdominalis with the currently farmed H. erectus. Methodologically, we employed an integrated approach utilizing untargeted lipidomics coupled with enzymatic hydrolysis to evaluate the lipid content, composition, molecular species, and fatty acid positional distribution of both species. The results revealed that triglyceride (TG) was the dominant lipid class in both seahorses. Notably, H. abdominalis exhibited higher overall phospholipid (PL) levels, along with elevated docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) in its TG fraction. Positional distribution analysis demonstrated that DHA was evenly distributed at the sn-1,3 and sn-2 positions in H. abdominalis, but concentrated at the sn-1,3 positions in H. erectus, whereas EPA was primarily localized at sn-1,3 in both species. Furthermore, H. abdominalis contained higher DHA levels in phosphatidylcholine (PC) and phosphatidylethanolamine (PE) (predominantly at the sn-1 position) and possessed abundant alkoxy ether PLs. Ultimately, this work fills crucial research gaps regarding the lipid characteristics of commercially cultured seahorses, providing a fundamental basis for species identification, nutritional evaluation, and the future development of seahorse-derived functional lipids. Full article

Ziziphus jujuba Mill. is a characteristic resource with both medicinal and edible values. At present, its lactic acid bacteria-fermented products are plagued by ambiguous variety selection and low added value. To clarify the variety-specific regulatory effects of Z. jujuba cultivars on metabolic profiles during lactic acid bacteria fermentation, this study analyzed the metabolic characteristics of fermented broths of Tan jujube, Jun jujube, and Ban jujube under a unified fermentation system using LC-MS untargeted metabolomics technology. Significantly differential metabolites were screened with the criteria of p < 0.05 and VIP > 1, and the metabolic regulatory mechanisms were further elucidated, combined with KEGG pathway enrichment analysis. The results showed that a total of 570 metabolites were identified in the three fermented broths. Tan jujube was enriched in linolenic acid, Ban jujube was rich in D-xylitol and dethiobiotin, and Jun jujube had prominent contents of S-adenosylmethionine and pyridoxine. All the aforementioned metabolites are involved in important physiological processes such as anti-inflammation and intestinal homeostasis maintenance. The differential metabolites were mainly enriched in 6 key pathways, including central carbon metabolism, ABC transporters, and phenylpropanoid biosynthesis, among which central carbon metabolism and ABC transporters were the core regulatory pathways. This study constructed an association network of Z. jujuba variety–differential metabolite–key pathway, systematically elucidated the metabolic differentiation mechanisms of fermented broths from different Z. jujuba cultivars, and provided a scientific basis for the precise selection of Z. jujuba varieties dedicated to fermentation and the targeted development of high-value-added functional fermented foods. Full article

Chinese yam (Dioscorea opposita Thunb.) is a nutrient-rich tuber with recognized health benefits, yet its application in beverage products remains limited due to processing and formulation challenges. In this study, a sequential fermentation strategy was adopted, using Saccharomyces bayanus followed by Lactobacillus brevis to enhance microbial viability and metabolic activity in Chinese yam juice. Samples were collected as an unfermented control (CY), yeast-fermented juice (SP), and sequentially fermented juice (LB). Microbial analysis showed that sequential fermentation supported high LAB viability, reaching 8.92 log CFU/mL in LB, accompanied by a progressive decrease in pH from 5.67 (CY) to 4.27 (LB). Untargeted LC-MS/MS metabolomics identified 1442 metabolites and revealed distinct shifts in the metabolic composition of CY, SP, and LB, indicating stage-dependent modifications of metabolic pathways. Targeted analyses confirmed substantial depletion of sucrose and maltose during fermentation, while trehalose accumulated from undetectable levels in CY to 5.23 mg/g in SP and 7.49 mg/g in LB. Organic acid profiling demonstrated marked increases in lactic and succinic acids, consistent with microbial carbohydrate metabolism. Total phenolic and flavonoid contents increased by 58% and 30%, respectively, while antioxidant capacity (DPPH, ABTS, and FRAP) improved by up to 120% after sequential fermentation. The final fermented beverage (LB) contained a low ethanol concentration of 0.8% (v/v). Sensory evaluation indicated that sequential fermentation improved the overall flavor, aroma, and acceptability of the Chinese yam juice. These findings demonstrate that sequential fermentation with S. bayanus and L. brevis effectively enhances the bioactive composition and antioxidant potential of Chinese yam juice, supporting its development as a functional fermented beverage. Full article

Background: Tyrosine kinase inhibitors (TKIs) have transformed cancer therapy; however, they are associated with cardiovascular toxicity. Metabolomics provides a comprehensive framework for identifying early biochemical disruptions that precede clinical manifestations and for formulating mechanism-based intervention strategies. Methods: We conducted a narrative synthesis of published preclinical and translational studies on TKI cardiotoxicity, focusing on untargeted and targeted metabolomic findings and complementary proteomic and transcriptomic data. Functional validation was performed using rodent and cellular models. Mechanistic themes were identified, and implications for biomarker panels, multi-omic integration, and metabolomics-guided interventions were proposed. Conclusions: Metabolomic analyses of various TKIs identified convergent signatures along three interconnected axes: (1) mitochondrial bioenergetic dysfunction characterized by impaired long-chain fatty acid oxidation and adenylate depletion; (2) disruption of endothelial nitric oxide signaling with redox imbalance, including increased nitrotyrosine, Nox activation, and eNOS uncoupling; and (3) an inflammatory metabolic profile marked by elevated branched-chain and aromatic amino acids, creatine, and osmolytes. Rodent models of sunitinib and sorafenib replicate these signatures and demonstrate histological injury, contractile dysfunction, and fibrosis. Preclinical intervention data, particularly restoration of myocardial carnitine, AMPK signaling, and fatty acid oxidation by L-carnitine, provide proof of concept for metabolomics-guided cardioprotection. Metabolomics can identify mechanistic biomarkers that facilitate the early detection, risk stratification, and targeted prevention of TKI-induced cardiovascular injury. Translation into precision cardio-oncology requires prospective validation, standardized assays, and biomarker-driven interventional trials. Full article

Background: Metabolic dysfunction-associated fatty liver disease (MAFLD) is a highly prevalent chronic liver disorder driven by complex metabolic, inflammatory, and oxidative mechanisms with no effective pharmacological therapy currently available. Although the multi-target natural product Proliverenol, derived from Phaleria macrocarpa pericarp, has shown hepatoprotective potential in preclinical and early clinical studies, its molecular mechanisms in MAFLD remain unclear. Objective: This study aimed to elucidate the multi-target hepatoprotective mechanisms of Proliverenol in MAFLD by integrating untargeted phytochemical profiling, network pharmacology, and molecular docking approaches. Methods: Untargeted LC–HRMS/MS analysis was performed to characterize the phytochemical composition of Proliverenol (Veprolin™). Identified compounds were subjected to target fishing, followed by protein–protein interaction (PPI) network construction, cluster analysis, and functional enrichment (GO and KEGG). Key MAFLD-related targets were further validated using molecular docking against major signaling proteins implicated in inflammation, apoptosis, and metabolic regulation. Results: Fourteen bioactive compounds were annotated, dominated by flavonoids and organic acids, including several phenolic acid derivatives, with phalerin as the most abundant constituent. Network pharmacology identified overlapping targets between Proliverenol, MAFLD, and hepatotoxicity, forming a highly interconnected PPI network. Functional enrichment revealed significant involvement in apoptosis regulation, inflammatory signaling, oxidative stress response, lipid metabolism, and insulin resistance pathways. Molecular docking demonstrated strong binding affinities of several Proliverenol constituents—particularly cucumerin B, artoindonesianin P, and vitexin 2″-p-hydroxybenzoate—toward key targets including PTGS2, SIRT1, GSK3B, RELA, and MCL1, with affinities comparable to or exceeding those of reference drugs. Conclusions: Proliverenol exerts hepatoprotective effects through coordinated multi-target modulation of inflammatory, metabolic, and apoptotic pathways relevant to MAFLD. While these findings provide mechanistic insights based on integrative metabolomics and computational analyses, the absence of direct experimental validation represents an important limitation. Therefore, further in vitro, in vivo, and clinical investigations are warranted to confirm the predicted molecular interactions and therapeutic relevance. Full article

Background: Total parenteral nutrition (TPN) is widely used after major gastrointestinal surgery; however, its early systemic metabolic effects and temporal adaptation patterns remain incompletely characterized. This study applied a longitudinal plasma metabolomics approach to investigate time-dependent metabolic changes during early TPN administration. Methods: Plasma samples were collected from patients undergoing gastrointestinal surgery before TPN initiation (baseline, T0) and at 24 h (T1), 48 h (T2), and 72 h (T3). Untargeted metabolomic profiling was performed using complementary gas chromatography–mass spectrometry (GC–MS) and liquid chromatography–mass spectrometry (LC–MS) platforms. In total, 111 metabolites were detected. Analysis of variance (ANOVA) with baseline (T0) as the reference identified time-point–specific metabolic alterations during TPN administration. Results: At 24 h (T1), nominally significant increases were observed in glycine, tryptophan, isoleucine, and methionine, accompanied by decreases in sarcosine and oxalic acid. At 48 h (T2), elevated levels of glycine, isoleucine, valine, and phenylalanine persisted, while sarcosine, oxalic acid, and myo-inositol remained decreased. By 72 h (T3), sustained increases in glycine, isoleucine, valine, phenylalanine, proline, alanine, and tryptophan were accompanied by reduced levels of sarcosine, oxalic acid, and glucopyranose, reflecting coordinated alterations across multiple metabolite classes. Conclusions: Overall, the results demonstrated a distinct longitudinal metabolomic pattern characterized by increases in circulating amino acids and time-dependent changes in carbohydrate- and lipid-related metabolites within the first 72 h of TPN. This exploratory, time-resolved metabolomic study in 37 patients highlights the utility of untargeted metabolomics for characterizing early metabolic adaptation to parenteral nutrition and supporting postoperative metabolic monitoring. Full article

Background and Objectives: Polyethylene (PE) mulching enhances crop productivity through microclimate optimization but introduces synthetic polymer-derived compounds into agricultural soils. Despite widespread use, biochemical and microbial impacts of PE mulch emissions remain poorly understood. This study investigated the impact of PE mulch emissions on soil metabolomes and microbial communities during field pea (Pisum sativum L.) cultivation. Methods: A 75-day field experiment compared PE-mulched and non-mulched soils across five temporal sampling points (T0–T4). Headspace solid-phase microextraction coupled with gas chromatography–mass spectrometry was used to identify PE-derived organic compounds in mulched soils. Microbial community structure was assessed through the phospholipids derived fatty acids (PLFA) approach, whereas mass spectrometric untargeted metabolomics was used to characterize the soil biochemical profiles. Results: Analysis identified 18 PE-derived organic compounds (n-alkanes, phthalates, and additives) in the mulched soils. PE mulching significantly increased bacterial abundance (anaerobic bacteria, actinomycetes, and aerobic bacteria) but suppressed all functional fungal guilds, particularly saprotrophic fungi (30% reduction) and arbuscular mycorrhizal symbionts. PE-derived organic compounds were associated primarily with the first RDA axis (RDA1), which alone explained 44.6% of the metabolome variance. These compounds presented strong positive correlations with organic nitrogen compounds and lipids and negative correlations with benzenoids and nucleotides. Pathway analysis revealed perturbations in energy metabolism, lipid metabolism, and xenobiotic degradation pathways. Conclusions: PE mulch emissions differentially shift soil microbial communities and metabolic networks, with bacterial proliferation contrasting with fungal suppression. These findings highlight the complex trade-offs between agronomic benefits and soil biological impacts, emphasizing the need for sustainable mulching alternatives. Full article

This study investigates the mechanisms underlying drought adaptability in Duolang sheep, a local breed from two distinct habitats in Xinjiang—an arid southern region and a grassland northern region—aiming to identify key factors driving differential environmental adaptation. Integrated multi-omics analyses were performed, including serum biochemical assays, untargeted metabolomics of perirenal and tail fat tissues, and transcriptomic profiling of lung, liver, and kidney samples. Our results revealed notable differences: (1) serum levels of GSH-Px, IL-2, and IgG were significantly higher in the southern group (p < 0.01); (2) metabolomic analysis identified key differential metabolites, including EPA (involved in unsaturated fatty acid biosynthesis), choline (glycerophospholipid metabolism), L-serine and glutathione (cofactor biosynthesis), and taurine (sulfur metabolism); and (3) transcriptomic analysis revealed significant differential expression of genes such as FGF21 (thermogenesis), CD14 and DUSP2 (MAPK signaling pathway), GOT1 (arginine biosynthesis), and AVPR2 (vasopressin-regulated water reabsorption). Integrative correlation analysis further indicated that glutathione, EPA, GOT1, and CD14 are involved in energy and lipid metabolism, while taurine, AVPR2, and DUSP2 contribute to oxidative stress resistance and immune regulation. These molecular and metabolic adjustments collectively enhance drought adaptability in southern Xinjiang Duolang sheep. In conclusion, adaptation to arid environments requires enhanced antioxidant capacity and immune function, with metabolites such as EPA supporting lipid metabolism and genes such as FGF21 regulating fatty acid oxidation to limit triglyceride accumulation. Full article