Search Results (2,008)

As essential branches of systems biology, metabolomics and lipidomics systematically reveal the composition, dynamic changes, and biological functions of small-molecule metabolites and lipids using high-throughput analytical techniques. This review examines the application of these omics technologies in evaluating livestock and poultry meat and egg quality, focusing on their roles in elucidating the molecular mechanisms behind key traits such as flavor, tenderness, and nutritional value. By identifying key metabolic markers—including glutamic acid, inosine monophosphate, and specific triglycerides—the intrinsic links between these markers and intramuscular fat deposition, flavor precursor formation, and antioxidant capacity are highlighted. Furthermore, this paper emphasizes the transformative impact of integrating multi-omics data with artificial intelligence (AI). AI-driven analytical frameworks are overcoming the limitations of traditional high-dimensional data processing, enabling robust biomarker discovery, predictive modeling for product quality, and reverse design for genetic improvement. Ultimately, the synergistic application of metabolomics, lipidomics, and AI will drive the development of modern animal husbandry toward intelligent, predictable, and precision-based production. Full article

The growing global population and increasing pressure on conventional food systems have intensified the search for sustainable and nutrient-rich protein sources. Blue foods derived from marine and freshwater organisms offer significant nutritional advantages and lower environmental footprints compared with many terrestrial animal proteins. However, challenges related to resource sustainability, processing, preservation, and product traceability limit their full potential. This review provides a broad overview of emerging technologies shaping the future of blue food systems, covering innovative production strategies, advanced processing techniques, and omics-based analytical approaches. Key developments in cellular aquaculture and cellular mariculture are discussed as promising alternatives to traditional fisheries and aquaculture, enabling the production of blue food through controlled cell cultivation. Additionally, alternative protein platforms including plant-based, fermentation-derived, and cultivated blue food analogues are assessed for their potential to enhance sustainability and diversify aquatic protein sources. Advanced structuring technologies such as extrusion, electrospinning, wet spinning, and 3D printing are highlighted for their roles in developing blue food analogues with improved texture and sensory attributes. Furthermore, non-thermal preservation techniques, including cold plasma (CP), high-pressure processing (HPP), pulsed electric fields (PEFs), and ultraviolet-based treatments, are reviewed for their effectiveness in improving microbial safety and extending shelf life while maintaining nutritional quality. The integration of omics technologies (proteomics, metabolomics, and lipidomics) provides deeper molecular insights into product quality, authenticity, and traceability within blue food supply chains. Collectively, these interdisciplinary advancements demonstrate strong potential to transform blue food production into a more resilient, sustainable, and technology-driven sector. Future progress will depend on overcoming challenges related to scalability, regulatory frameworks, and consumer acceptance to enable the successful commercialization of next-generation blue food products. Full article

Environmental temperature-induced metabolic changes in dams can be reflected by alterations in metabolomic and fatty acid profiles in colostrum. The colostrum from 13 Black Bengal (BB) dams was collected on the day of parturition at two consecutive parities during the hot conditions (HCs) of summer or rainy seasons and the cold conditions (CCs) of winter. The metabolomic and fatty acid profiles were analyzed using nuclear magnetic resonance (NMR) and gas chromatography–mass spectrometry, respectively. The results showed significantly higher sarcosine, tyrosine, citrate, succinate, galactose, acetylglucosamine, carnitine, choline, glycerophosphocholine, and trimethylamine N-oxide during CCs than HCs; potential discriminant metabolites according to VIP scores were sarcosine, succinate, and choline. Colostrum from CCs had significantly lower levels of saturated fatty acids (SFAs), including butyric acid (C4:0), myristic acid (C14:0), and pentadecanoic acid (C15:0), but higher omega-9 monounsaturated fatty acids (MUFAs), especially oleic acid (C18:1n9c), elaidic acid (C18:1n9t), and eicosenoic acid (C20:1n9), than in HC. Linoleic acid (C18:2n6c) and the omega 6/omega 3 PUFA ratio were higher during CCs than HCs. It is concluded that a metabolic shift for nutrient utilization occurs, from glucose during HCs toward fat during CCs, which may not be due to the diet but rather neurohumoral alterations occurring during temperature adaptation. Full article

Background: Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) refers to fatty liver disease associated with metabolic syndrome. MASLD causes alterations in lipid metabolism, which can be regulated with a diet rich in polyphenols. The present study aims to evaluate the effects of daily consumption of 400 g of “Navelina” oranges for 4 weeks on serum lipid profiles in a group of 60 patients with MASLD, to identify specific lipid species associated with improvements in hepatic steatosis. Methods: Blood samples were collected from all participants, and biochemical measurements and a serum lipidomic profile were performed. Finally, a Spearman correlation analysis was used to assess the relationships between serum lipidomic fatty acids and biochemical lipid markers. Results: In the experimental treatment arm, serum lipidomic analysis showed a slight decrease in Arachidonic acid (AA) and the Arachidonic acid/Eicosapentaenoic acid ratio (AA/EPA ratio) but no significant interaction between time and treatment was detected. In the same group, Oleic acid, MUFAs and the AA/EPA ratio were significantly and negatively correlated with HDL (r = −0.368, p = 0.046), (r = −0.384, p = 0.036), and (r = −0.522, p = 0.003), respectively. Conversely, EPA and n-3 PUFAs were positively and significantly correlated with HDL (r = 0.447, p = 0.013) and (r = 0.403, p = 0.027) respectively. Conclusions: Furthermore, this study represents one of the first clinical trials to shed a light on the potential association of “Navelina” orange polyphenols on serum fatty acid profiles in patients with MASLD, supporting studies on the nutraceutical effect of oranges on lipid metabolism. Full article

Thyroid hormones regulate a complex and interconnected network of metabolic signaling. Thyroid dysfunction is, at present, defined and monitored through circulating thyroid-stimulating hormone (TSH) and free thyroid hormones. However, biochemical normalization does not entirely indicate restoration of metabolic homeostasis. This discrepancy highlights a critical limitation of the current TSH-centric paradigm, which also fails to explain the heterogeneity in cardiometabolic outcomes observed among patients with similar biochemical profiles. Metabolomics, through the analysis of tissue-specific biofluids, could aid in capturing the complex metabolic perturbations that characterize this disease. In this review, we summarize metabolomic signatures typical of thyroid dysfunction, perform a critical evaluation of limitations and variability across studies, and explore the clinical and translational implications of metabolomics in thyroid pathology. In addition, five metabolic hubs influenced by thyroid hormone activity are summarized: (i) lipid and lipoprotein remodeling; (ii) mitochondrial energetics and redox balance; (iii) amino acid metabolism and protein turnover; (iv) gut–liver–thyroid axis and (v) biological impact of subclinical thyroid diseases. Taken together, these findings challenge the sufficiency of a diagnostic model based on TSH measurement and pose metabolomics as a promising tool to refine risk stratification, uncover subclinical vulnerability and guide patient-centered management of thyroid disease. Despite its promise, clinical adoption of metabolomics is hindered by a lack of standardization and complex data interpretation. To overcome these limitations, coupling metabolomics with genomics and transcriptomics may allow its translation into practical application. Full article

Individual variability in spontaneous behavior emerges from coordinated physiological states, yet the organization of baseline behavioral dimensions and their systemic metabolic correlations remains insufficiently characterized in healthy animals. Here, exploratory activity and self-directed grooming were quantified during a standardized Y-maze session and integrated with plasma fatty-acid profiles measured by orthogonal dual-column GC-MS in 30 healthy male Sprague–Dawley rats distributed across four independent cohorts. Correlation structure and principal component analysis showed that plasma lipid profiles exhibit non-random, low-dimensional organization, resolving into coherent compositional states dominated by coordinated shifts between shorter-chain (C14–C16) and longer-chain (C18) fatty-acid species. Behavioral variables are similarly organized into constrained dimensions capturing exploratory engagement and grooming expression or timing. Integrated correlation analysis indicated that plasma fatty-acid-derived lipid states aligned systematically with behavioral organization at the multivariate level across cohorts, with C18-enriched profiles generally aligned with higher behavioral engagement and earlier grooming expression at the state level, while C14/C16-enriched profiles associated with reduced exploration and delayed grooming initiation, although the direction of individual lipid–behavior correlations showed cohort dependence consistent with the context-dependent behavior of compositional lipid variables within distinct but physiologically normal lipidomic states. These findings demonstrate that state-level, correlation-based multivariate analysis can reveal structured plasma lipidomic configurations and their correspondence to behavioral organization under physiological conditions, without inferring causal directionality or pathway activation. Full article

Background: Ceramide (Cer) dysregulation in content and composition is linked to various skin conditions, particularly sensitive and dry skin. Existing ceramide quantification methods often lack efficiency, sensitivity, or comprehensive analytical capabilities. This study aimed to adopt an optimized LC-MS/MS platform to ensure the acquisition of reliable and accurate ceramide quantitative data, thereby providing robust methodological support for an in-depth investigation of the differences in ceramide profiles among different dry skin subtypes. Methods: Stratum corneum samples were collected via tape stripping from 93 adult female volunteers, who were stratified into sensitive dry skin, non-sensitive dry skin, and normal skin groups based on clinical assessments. Cer metabolomics was analyzed via targeted metabolomics using liquid chromatography–tandem mass spectrometry (LC-MS/MS). Results: Quantitative analysis of ceramide content in different groups revealed significantly elevated levels of ultra-long-chain ceramides and the atypical Cer (d17:1/24:0) in the SD group, alongside relatively lower levels of shorter-chain ceramides. The NSD group, in contrast, was predominantly enriched in shorter-chain ceramides. Statistical analysis showed statistically significant differences in the levels of Cer (d18:1/24:0), Cer (d18:1/24:1), and Cer (d17:1/24:0) between the SD group and the N group. The UPLC-MS/MS method exhibits a wide linear range and high recovery. Conclusions: This method offers a reliable tool for the quantitative analysis of ceramides in dermatological, physiological, and pathological research. The findings not only underscore the profound heterogeneity in lipid metabolism underlying different dry skin subtypes but also provide a molecular rationale linking aberrant ceramide chain lengths to compromised barrier integrity and heightened inflammatory susceptibility. The partially validated analytical platform and the specific ceramide signatures revealed herein offer valuable tools and insights for advancing the mechanistic understanding, diagnosis, and targeted intervention of sensitive dry skin. Full article

The cell membrane serves as the first line of defense against adverse environmental factors and is first to adapt to changing conditions. Cell membranes in both coral and its symbionts, which use different membrane adaptation strategies, have to acclimatize to various abiotic stressors. As our molecular-genetics analysis showed, colonies of Junceella fragilis were associated with dinoflagellates Cladocopium thermophilum, Gerakladium endoclionum and Breviolum minutum. We analyzed the phospholipid (PL) molecular species of the wild and cultivated Junceella fragilis and their dinoflagellates (phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylserine (PS), phosphatidylinositol (PI), ceramideaminoethylphosphonate (CAEP)), as well as thylakoid membrane lipids of dinoflagellates (glycolipids and betaine lipids). When comparing wild and cultivated J. fragilis colonies, there were no significant differences in thylakoid lipids, but there were differences in host membrane phospholipids, namely in PC, PE and PS. Thus, the profile of PL molecular species of the membrane is very sensitive to environmental factors, which probably explains the observed differences in the profiles of molecular PL species in this study. Full article

A549 cells are widely used as an in vitro model of alveolar type II (ATII) epithelial cells; however, their phenotype and metabolic state are highly sensitive to culture conditions, cell density, and the duration of static, non-passaged cultivation. Here, we examined how prolonged static culture affects lipid metabolism, mitochondrial bioenergetics, and viability in A549 cells. A549 cultures were maintained without passaging for up to 25 days in DMEM or Ham’s F-12 and analyzed using lipid secretion assays, targeted lipidomics, [¹⁴C]-acetate incorporation, Seahorse bioenergetic profiling, and transcriptional analysis of stress-associated markers. Several surfactant-associated readouts were highest during early culture, peaking on day 7, as evidenced by elevated expression of ABCA3 and SP-A and maximal secretion of surfactant-associated phospholipids. With prolonged cultivation and increasing culture density, cellular phosphatidylglycerol levels declined progressively and became nearly undetectable by day 25, accompanied by reduced anabolic lipid metabolism, lower oxygen consumption, and impaired glycolytic activity. These changes coincided with increased reactive oxygen species, elevated intracellular Ca²⁺ levels, and increased expression of stress-associated transcripts, including CASP1, IL1B, and C3. Later stages were also associated with reduced mitochondrial respiration and decreased viability. Collectively, our findings show that prolonged static culture is associated with metabolic remodeling and reduced bioenergetic capacity in A549 cells. Full article

Idiopathic pulmonary fibrosis (IPF) is characterised by progressive parenchymal remodelling, driven by epithelial dysfunction, fibroblast activation, and altered immune regulation within the distal lung. Alveolar macrophages (AMs) reside in a surfactant-rich environment and are specialised for continuous lipid handling, yet the significance of this metabolic role for macrophage heterogeneity and fibrotic progression has remained incompletely integrated across studies. In this review, we synthesise evidence from human lung tissue, experimental models, lipidomic analyses, and clinical investigations to place macrophage populations described in IPF—including FABP4-high homeostatic cells and SPP1-associated disease-enriched states—within a unified lipid-metabolic context. We show that macrophage heterogeneity in IPF can be understood as a variation within a core lipid-handling programme rather than the emergence of distinct macrophage lineages. Profibrotic macrophage states are characterised by altered lipid processing and signalling, including dysregulated sterol handling, lysophospholipid pathways, and eicosanoid balance, which impair surfactant turnover and contribute to fibroblast activation. Importantly, experimental and clinical data indicate that macrophage lipid-metabolic programmes remain modifiable, although definitive disease-modifying efficacy in IPF has yet to be established. Framing macrophage states within a lipid-metabolic framework provides a coherent basis for interpreting heterogeneous datasets and supports the rationale for therapeutic strategies aimed at stabilising or restoring macrophage lipid handling in fibrotic lung disease. Full article

Cardiovascular and metabolic diseases (CMDs) are the leading causes of global mortality. While university students represent a critical demographic for early intervention, conventional univariate screenings often fail to capture the synergistic interactions between lipid abnormalities and adiposity. This study aimed to identify and characterize multidimensional cardiometabolic phenotypes in Ecuadorian university students using multivariate exploratory techniques. A cross-sectional study was conducted with 365 students from the Coastal (n = 193) and Andean (n = 172) regions of Ecuador. Lipid profiles (TC, HDL-c, LDL-c, triglycerides), body composition (body fat percentage, visceral fat via bioelectrical impedance), and blood pressure were analyzed. Data were processed using HJ-Biplot analysis for dimensional reduction and a hybrid clustering approach (Hierarchical and K-means) for population segmentation. The HJ-Biplot explained 72.3% of the total variance. The first principal component (PC1, 49.2%) was associated with morphometric size (weight, height), while the second (PC2, 23.1%) was dominated by adiposity markers (body fat and visceral fat). Three distinct clusters were identified: Cluster 0 (27.1%, predominantly female) represented a low-risk profile with the highest HDL-c (57.5 mg/dL); Cluster 1 (26.6%, majority male) exhibited an intermediate-risk profile with the highest triglycerides (117.9 mg/dL); and Cluster 2 (46.3%, almost exclusively male and Andean-dominant) presented the highest risk, characterized by the lowest HDL-c levels (41 mg/dL) and older age. In conclusion, cardiometabolic risk is heterogeneously distributed across sex and geographical regions. Multivariate profiling allows for the detection of early metabolic vulnerability that remains undetected in traditional screenings. These findings support the implementation of targeted public health strategies tailored to the specific phenotypic and regional characteristics of the university population in Ecuador. Full article

Human infertility affects approximately 17.5% of the global population, with male factors accounting for nearly half of all cases. Identifying reliable molecular biomarkers is crucial for improving the diagnosis and assessment of male fertility. This study established and refined an untargeted high-performance liquid chromatography–electrospray ionization–tandem mass spectrometry (HPLC-ESI-MS/MS) protocol for a comprehensive lipidomic and metabolomic analysis of human spermatozoa, using only 1.25 million cells per sample. Compared with previous reports, our optimized method achieved an unparalleled level of analytical depth, identifying 473 lipid species and 955 structurally annotated metabolites. This corresponds to nearly a 7600-fold improvement in detection efficiency per cell compared with previously published approaches. Lipidomic analysis revealed that the most abundant lipid classes were glycerophospholipids (39%), cholesterol (20%) and fatty acids (19%), with cholesterol representing the single most abundant compound. This observation is consistent with the structural complexity of the sperm plasma membrane. Metabolomic profiling similarly identified glycerophospholipids (44%), eicosanoids (14%) and N-acyl amino acids (12%) as the major metabolite classes. The integration of lipidomic and metabolomic data highlighted functionally interconnected pathways related to membrane dynamics, energy metabolism, and hormone biosynthesis. Overall, this work establishes a robust, sensitive, and scalable analytical framework that enables the high-coverage molecular characterization of spermatozoa from limited sample material, laying the groundwork for future biomarker discovery and clinical applications in male infertility research. Full article

Oats (Avena sativa L.) are a nutritionally valuable cereal crop known for their unique profile of bioactive compounds, including protein, β-glucan (BG), and avenanthramides (AVNs). However, industrial-scale processing and fractionation of these nutrients at an industrial scale are restricted by high oil content, limiting their application as functional food ingredients. While reducing oil content through targeted breeding may overcome these barriers, this strategy requires a deeper molecular understanding of lipid metabolism and its interplay with other nutrient pathways. In this review, we highlight the health benefits of key oat nutrients and discuss challenges in isolation techniques at an industrial scale. We then outline the canonical pathway for seed oil biosynthesis, supported by functional validation of genes encoding key lipid synthesis enzymes, and review studies linking regulatory enzymes to variations in oat oil content at gene and transcript levels. Finally, we highlight how mass spectrometry-based omics, particularly proteomics and lipidomics, can be used in breeding programmes to elucidate regulatory networks involved in oat oil biosynthesis and nutrient partitioning at the phenotype level. Full article

Background: While Toxoplasma gondii infection poses a significant health threat, its impact on the localized intestinal lipid metabolism remains unclear. Methods: Thus, this study established an acute infection model in BALB/cJ mice and analyzed the colonic contents collected 10 days post-infection via untargeted lipidomics. The lipid profiles of the two groups diverged substantially, with a clear separation evident between infection and control conditions. Results: We identified 65 upregulated and 87 downregulated differential lipids, primarily falling into the glycerophospholipids and sphingolipids categories. Pathway enrichment analysis revealed that the choline metabolism in cancer and glycerophospholipid metabolism pathways was pinpointed as being among the most perturbed following infection. Correlation and network analyses further suggested that key molecules, such as LPC (20:4) and LPA (18:0), may mediate these metabolic pathway abnormalities by regulating related enzymatic activities. Conclusions: This systematic characterization of the intestinal lipid metabolic landscape in mice during acute T. gondii infection revealed the host intestinal lipid metabolic reprogramming induced by T. gondii infection. The findings offer a novel metabolic perspective for understanding T. gondii pathogenesis and host–parasite interactions. Full article

Glucosylceramide synthase (GCS) catalyzes ceramide glycosylation in response to cell stress that produces glucosylceramide and other glycosphingolipids. GCS overexpression is a cause of drug resistance and enriches cancer stem cells (CSCs) during cancer chemotherapy. Previous studies showed that GCS modulates the expression of p53 mutants and oncogenic gain-of-function (GOF) in heterozygous knock-in cell models (TP53 R273H^−/+). However, it is unclear whether GCS can modulate the effects of homozygous p53 mutations, which are common in many cancer cases. We report herewith that inhibition of GCS, via UGCG knockout and using an inhibitor (Genz-161), effectively re-sensitizes drug resistance and diminishes CSCs in colon cancer cells carrying the homozygous p53 R273H mutation. In aggressive WiDr cells carrying TP53 R273H mutation, knockout of UGCG gene using CRISPR/Cas9 editing or inhibition of GCS with Genz-161 sensitized cancer cells to oxaliplatin, irinotecan and paclitaxel. With decreased ceramide glycosylation in lipidomic profiling, both UGCG knockout and Genz-161 treatments substantially decreased wound healing, and diminished CSCs and tumor growth under chemotherapy. Interestingly, inhibition of RNA m⁶A methylation by neplanocin A markedly increased p53 function and reversed drug resistance. Mechanistic investigation revealed that GCS inhibition downregulated methyltransferase-like 3 (METTL3) expression and decreased RNA-m⁶A modification on mutant p53 R273H effects. Altogether, our findings demonstrate that ceramide glycosylation promotes METTL3 expression and RNA m⁶A methylation in response to drug-induced stress, thereby promoting mutant p53 expression and associated GOF. Conversely, inhibition of GCS can diminish CSCs and drug resistance via reduction in m⁶A modification and advance of p53-assocaited tumor suppressive function. GCS inhibition is an achievable approach for mutant cancer treatment. Full article