Search Results (1,309)

Anti-lipid autoantibodies are produced in systemic lupus erythematosus (SLE). These antibodies are associated with clinical manifestations of the disease, such as thrombosis, cardiovascular events, and neurological disorders. However, the cellular and molecular mechanisms that lead to the production of these antibodies are not well known. We developed a mouse model of lupus by administering liposomes bearing non-bilayer phospholipid arrangements (NPA) stabilized by chlorpromazine. These mice produce anti-NPA antibodies that trigger a lupus-like disease. In previous studies, we demonstrated that these antibodies are primarily produced by germinal centers and that NK1.1⁺ CD4⁺ T cells provide help to B cells, enabling them to produce these IgG antibodies. However, additional immune cells may contribute to the production of these antibodies. Therefore, in this work, we analyzed the in vivo responses of γδ T cells and macrophages in this mouse model. We found that γδ T cells from mice that produce anti-NPA antibodies produce IFNγ and IL-17, which can contribute to B cell class switching and production of anti-NPA IgG antibodies via germinal centers. Additionally, we found that macrophages are polarized into a proinflammatory M1 phenotype and produce IL-6 that can exacerbate inflammation and potentially lead to autoimmunity. Full article

The mycoheterotrophic orchid Gastrodia elata relies entirely on symbiosis with Armillaria for nutrient acquisition during tuber development. The signaling mechanisms underlying this interaction have long been a research focus, and several pathways, such as phytohormone-mediated signaling, have been reported. However, the role of plant-derived extracellular vesicles (PDEVs) in G. elata–Armillaria communication remains unexplored. In this study, we conducted a comprehensive lipidomic analysis of G. elata-derived extracellular vesicles (GDEVs) isolated from juvenile, immature (active symbiosis), and mature tubers. By employing high-resolution mass spectrometry and advanced statistical methods, we established a detailed EV lipidome profile for G. elata, identifying 996 lipid species spanning eight major classes. Distinct lipidomic remodeling was observed throughout tuber maturation. Notably, as the immature stage corresponds to the period of peak symbiotic activity, targeted lipidome comparisons enabled the identification of core lipid markers, particularly Glc-sitosterols and the polyketide 7,8-dehydroastaxanthin, which are highly enriched during active symbiosis and potentially associated with inter-kingdom communication. These findings suggest that developmentally regulated lipid transport via EVs plays a critical role in mediating G. elata–Armillaria interaction. Our work not only illuminates the contribution of vesicle lipids to plant–fungal interaction but also provides a methodological foundation for investigating EV-mediated signaling in non-model plant–microbe systems. Full article

Ziziphi Spinosae Semen (ZSS) has significant medicinal value, and its growing environment critically influences medicinal component accumulation. We analyzed 10 ZSS samples from six major Chinese production areas, identifying 2994 metabolites while exploring tranquilizing constituents and volatiles. Lipids and amino acids were the primary nutrients, while terpenoids were the most abundant class of secondary metabolites. Volatile profiling revealed characteristic sour-fruity-herbaceous flavors, with GS-QY samples showing the highest volatile content. HB-XT and LN-CY samples accumulated the most sedative compounds (jujubosides A/B, spinosin). These findings demonstrate production regions significantly influence ZSS’s medicinal/aromatic profiles, supporting targeted product development. Full article

Background/Objectives: Sphingolipids are a class of lipids that play important structural and functional roles in the cell. Specific ceramide species are distinguishable through the fatty acid that is acylated to the sphingosine backbone, leading to distinct biological activities. Generally, long-chain (LC) ceramides (16:0 and 18:0) drive metabolic dysfunction resulting in the progression of different disease states, while very long-chain (VLC) ceramides (22:0 and 24:0) are thought to be either beneficial against disease progression or benign. In this study, we sought to alter the cellular composition of LC and VLC ceramides in ventricular HCMs to investigate how alterations in these lipids can affect the transcriptome of otherwise healthy HCMs. Methods: Here, we used specific siRNA to knockdown the ceramide synthases responsible for the production of LC and VLC ceramides in ventricular HCMs and investigated the changes in the transcriptome of HCMs with CERS2 or CERS5/6 silenced compared to control conditions. Results: Knocking down CERS2 led to an increase in cell death as well as widespread reductions in cellular VLC sphingolipids. Additionally, we demonstrated that VLC sphingolipid species may play a protective role in maintaining cardiovascular function and that reducing these lipids may contribute to cardiac dysfunction. Similarly, knocking down CERS5 and CERS6 led to reduced LC ceramides and also resulted in profound changes in gene transcription. Interestingly, multiple genes and pathways were affected in the opposite direction when compared to the changes observed with the CERS2 knockdown. Conclusions: Taken together, our results suggest pathways through which VLC ceramides may contribute to cardiac protection, and pathways where LC ceramides may promote HCM stress and the development of cardiac disease. Full article

Postmenopausal osteoporosis (PMOP) has become an important public health issue. The diagnosis of PMOP relies on clinical symptoms and radiology. However, most patients with PMOP do not exhibit obvious symptoms in the early stages of this disease. This study aimed to explore the feasibility of surface-enhanced Raman scattering (SERS) technology in the auxiliary screening of PMOP. PMOP rats were induced by ovariectomy (OVX) surgery, with a Sham group and an icariin (ICA) treatment group serving as controls. A monolayer film of Au nanoparticles (NPs) was prepared using the Marangoni effect in an oil/water/oil three-phase system, and was used to detect serum SERS signals in the Sham, OVX, and ICA treatment groups. Then, the spectral diagnostic model for PMOP screening was established utilizing partial least squares (PLS) and support vector machine (SVM) algorithms. Histopathology confirmed the establishment of the PMOP rat model. The assignment of Raman peaks and the analysis of spectral differences revealed the biochemical changes associated with PMOP, including the upregulation of tyrosine levels and the downregulation of arginine, tryptophan, lipids, and collagen. When employing the PLS-SVM algorithm to simultaneously classify and discriminate three groups of samples, the diagnostic sensitivity for PMOP is 93.33%, the specificity is 96.67%, and the accuracy of three-class classification is 91.11%. This study demonstrated the potential of SERS for the auxiliary screening of PMOP. Full article

Asymmetric nanomotors are a class of self-propelled nanoparticles that exhibit asymmetries in shape, composition, or surface properties. Their unique asymmetry, combined with nanoscale dimensions, endows them with significant potential in environmental and biomedical fields. For instance, glutathione (GSH) induced chemotactic nanomotors can respond to the overexpressed glutathione gradient in the tumor microenvironment to achieve autonomous chemotactic movement, thereby enhancing deep tumor penetration and drug delivery for efficient induction of ferroptosis in cancer cells. Moreover, self-assembled spearhead-like silica nanomotors reduce fluidic resistance owing to their streamlined architecture, enabling ultra-efficient catalytic degradation of lipid substrates via high loading of lipase. This review focuses on three core areas of asymmetric nanomotors: scalable fabrication (covering synthetic methods such as template-assisted synthesis, physical vapor deposition, and Pickering emulsion self-assembly), propulsion mechanisms (chemical/photo/biocatalytic, ultrasound propelled, and multimodal driving), and functional applications (environmental remediation, targeted biomedicine, and microelectronic repair). Representative nanomotors were reviewed through the framework of structure–activity relationship. By systematically analyzing the intrinsic correlations between structural asymmetry, energy conversion efficiency, and ultimate functional efficacy, this framework provides critical guidance for understanding and designing high-performance asymmetric nanomotors. Despite notable progress, the prevailing challenges primarily reside in the biocompatibility limitations of metallic catalysts, insufficient navigation stability within dynamic physiological environments, and the inherent trade-off between propulsion efficiency and biocompatibility. Future efforts will address these issues through interdisciplinary synthesis strategies. Full article

Background: Metabolic syndrome (MetS) is a major risk factor for cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM), especially in Middle Eastern populations with a high metabolic burden. This study aimed to evaluate the predictive utility of different lipid ratios, including triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C), total cholesterol (TC)/HDL-C, low-density lipoprotein (LDL-C)/HDL-C, and non-HDL-C/HDL-C, for identifying MetS. In addition, we aimed to characterise the underlying metabolic dysregulation using the most predictive lipid ratio by comparing metabolomic profiles between high-risk (T3) and low-risk (T1) groups. Method: We conducted a cross-sectional study using data from 2179 Qatari adults without CVD and/or T2DM. The predictive value of each lipid ratio for MetS was compared. Untargeted metabolomics was performed to profile metabolic changes between T3 and T1. Results: After adjustment for age, sex, and BMI, TG/HDL-C showed the highest discriminative ability for MetS (AUC = 0.896, 95% CI: 0.88–0.91; OR = 4.36, 95% CI: 3.63–5.28, p < 0.0001). In pairwise AUC comparisons, TG/HDL-C outperformed LDL-C/HDL-C (p = 2.6 × 10⁻⁴, after correction for multiple comparisons), with no significant differences versus other ratios. The high-risk group exhibited raised levels of phosphatidylethanolamines, phosphatidylinositols, and diacylglycerols, and lower levels of sphingomyelins and plasmalogens. These lipid classes have been suggested to be implicated in insulin resistance and metabolic dysfunction. Elevated monoacylglycerols were identified in high-TG/HDL-C groups, representing a previously underreported pattern. Conclusions: The TG/HDL-C ratio showed a better association with MetS compared with other lipid ratios and was linked to distinct metabolomic signatures. These findings suggest potential value for early risk evaluation, but longitudinal and mechanistic studies are needed to confirm clinical applicability. Full article

Aortic stenosis (AS) and atherosclerosis are progressive cardiovascular conditions that frequently coexist and share multiple clinical and molecular features. Medical therapies have shown effectiveness in preventing and treating atherosclerosis and its consequences. For AS, effective pharmacological therapies remain limited. Understanding the shared risk factors and mechanisms between the two conditions may provide opportunities for therapeutic repositioning in AS. We performed a narrative review focusing on studies published from 2005 to 2025. Inclusion criteria encompassed clinical trials, experimental models, and molecular studies addressing overlapping risk factors, pathological pathways, and treatment approaches for AS and atherosclerosis. AS and atherosclerosis share key risk factors, including age, hypertension, hyperlipidemia, and diabetes. Molecular mechanisms, such as chronic inflammation, endothelial dysfunction, oxidative stress, lipid accumulation, and calcific remodeling, are common to both. Pathways involving the renin-angiotensin system, Notch signaling, and osteogenic mediators contribute to disease progression. Several drug classes, notably proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, lipoprotein(a) (Lp(a)) lowering therapies, anti-inflammatory agents, and immunomodulators, show potential for repositioning in AS management. The substantial overlap in risk factors and molecular mechanisms between AS and atherosclerosis supports a rationale for therapeutic repositioning. Targeting shared pathways could lead to innovative strategies for slowing AS progression and improving patient outcomes. Full article

Background: Type 2 diabetes (T2D), the most common form of diabetes, is associated with a significantly elevated risk of cardiovascular and cerebrovascular complications. However, circulating metabolic signatures that reliably predict the transition to insulin resistance, and are potentially linked to increased vascular risk, remain incompletely characterized. Rodent models, particularly those induced by a high-fat diet (HFD) combined with low-dose streptozotocin (STZ), are widely used to study the progression of T2D. However, the systemic metabolic shifts associated with this model, especially at the plasma level, are poorly defined. Methods: In this study, we performed untargeted liquid chromatography–mass spectrometry (LC-MS)-based metabolomic profiling on plasma samples from control, HFD-only (obese, insulin-sensitive), and HFD + STZ (obese, insulin-resistant) C57BL/6 mice. Results: In the HFD + STZ cohort, plasma profiles showed a global shift toward lipid classes; depletion of aromatic and branched-chain amino acids (BCAAs); accumulation of phenylalanine-derived co-metabolites, consistent with gut–liver axis dysregulation; elevations in glucose, fructose-6-phosphate, and nucleoside catabolites, indicating impaired glucose handling and heightened nucleotide turnover; increased free fatty acids, reflecting membrane remodeling and lipotoxic stress; and higher cAMP, thyroxine, hydrocortisone, and uric acid, consistent with endocrine and redox imbalance. By contrast, HFD-only mice exhibited elevations in aromatic amino acids and BCAAs relative to controls, a pattern compatible with early obesity-associated adaptation while insulin signaling remained partially preserved. KEGG analysis revealed disturbances in carbohydrate metabolism, amino acid degradation, nucleotide turnover, and hormone-related pathways, and HMDB mapping linked these changes to T2D, obesity, heart failure, and renal dysfunction. Conclusion: Collectively, these findings delineate insulin resistance-specific plasma signatures of metabolic inflexibility and inflammatory stress in the HFD + STZ model, distinguishing it from HFD alone and supporting its utility for mechanistic studies and biomarker discovery. Importantly, this plasma metabolomics study shows that insulin-sensitive and insulin-resistant states exhibit distinct variation in circulating metabolites and cardiovascular risk factors, underscoring the translational value of plasma profiling. Full article

Concomitant sensitisation to non-specific lipid transfer proteins (nsLTPs) from olive pollen (Ole e 7) and peach (Pru p 3) has been observed in the south of Spain. In the search for reasons to explain this observation, we studied a potential causal relationship between Human Leukocyte Antigen (HLA) molecules and nsLTP sensitisation. For this purpose, eighteen Ole e 7-monosensitised (MONOLE) patients, 22 Pru p 3-monosensitised (MONPRU) patients, and 22 bisensitised (BI) patients were genotyped for HLA class II alleles. Complementarily, T-cell epitopes were predicted with the Immune Epitope Database analysis tool to test HLA epitope presentation. Our results showed a significant increase in DRB1*11 and DQB1*03 frequencies in MONPRU patients and DRB1*04 frequency in MONOLE patients. Additionally, T-cell epitope analysis revealed high binding affinity between the predicted Pru p 3 epitopes and DRB1*11 and between the predicted Ole e 7 epitopes and DRB1*04, suggesting that presentation of these epitopes may be favoured and predisposing individuals to sensitisation. Conversely, low DQB1*05 frequency and poor binding ability of predicted epitopes from both nsLTPs postulated this allele as a possible protective factor to sensitisation. Variations in the binding affinity between nsLTP epitopes and HLA molecules may underlie individual susceptibility to nsLTP allergy. Full article

Epithelial–mesenchymal transition (EMT) is a key process in cancer progression and fibrogenesis. In this study, EMT was induced in Huh7 hepatocellular carcinoma cells via TGF-β1 treatment, and the resulting lipidomic and metabolomic alterations were characterized. Morphological changes and protein marker analyses confirmed the transition to a mesenchymal phenotype, with reduced E-cadherin and increased vimentin and N-cadherin expression. Lipidomic profiling revealed a dose-dependent reorganization of membrane lipids, with a pronounced increase in the levels of ceramides, cholesteryl esters, and lysophospholipids, consistent with alterations in membrane structure, potential cellular stress, and modulation of inflammatory pathways. Changes in the content of phospholipid classes, including phosphatidylethanolamines and phosphatidylserines, indicate possible variations in membrane dynamics and potentially point to modifications in mitochondrial function, cellular stress responses, and redox balance. Metabolomic analysis further indicates an alteration of choline and phosphatidylcholine metabolism, consistent with a shift from de novo membrane synthesis toward lipid turnover. Reduced glycolytic capacity and modified acylcarnitine levels indicated impaired metabolic flexibility and mitochondrial efficiency. The integration of phenotypic, lipidomic, and metabolomic data suggests that TGF-β1 induces EMT and drives a coordinated metabolic reprogramming. These findings highlight the involvement of lipid and energy metabolism in sustaining EMT and suggest that specific metabolic reprogramming events characterize the mesenchymal shift in hepatocellular carcinoma. By exploring this process in a tumor-specific context, we aim to deepen our understanding of EMT complexity and its implications for tumor progression and therapeutic vulnerability. Full article

Background: Super morbid obesity (SMO), defined as a body mass index (BMI) ≥ 50 kg/m², represents a distinct and increasingly prevalent subgroup of patients undergoing bariatric surgery. Compared to individuals with lower BMI, patients with BMI ≥ 50 kg/m² often exhibit unique clinical, psychological, and social characteristics that may influence treatment outcomes. Objective: This study aimed to compare demographic, metabolic, and psychiatric profiles of patients with BMI ≥ 50 kg/m² and non-super morbid obesity (NSMO; BMI < 50 kg/m²) who were evaluated prior to bariatric surgery. Methods: A total of 319 patients were recruited between December 2022 and December 2023 at a bariatric center in Gdansk, Poland. All participants underwent a comprehensive preoperative assessment, including laboratory testing, psychometric screening (BDI, PHQ-9), and psychiatric interviews. Patients were stratified into class IV obesity and NSMO groups for comparative analysis. Results: Patients with BMI ≥ 50 kg/m² were significantly older and more likely to report a history of lifelong obesity, family history of obesity, and childhood trauma. They had higher rates of obesity-related health problems such as hypertension, obstructive sleep apnea, and chronic venous insufficiency, as well as worse liver function and lipid profiles. Although the overall psychiatric burden was high in both groups, patients with BMI ≥ 50 kg/m² reported fewer prior diagnoses of depression and eating disorders, despite similar scores on screening tools. Conclusions: Patients with BMI ≥ 50 kg/m² represent a clinically distinct population with elevated metabolic risk, complex psychosocial backgrounds, and possibly underrecognized psychiatric burden. These findings underscore the need for multidisciplinary preoperative assessment and individualized treatment strategies in this group of patients. Full article

Diabetes mellites (DM) is a chronic disease with increasing prevalence worldwide and multiple health implications. Among them, sarcopenia is a metabolic disorder characterized by loss of muscle mass and function. The two age-related diseases, DM and sarcopenia, share underlying pathophysiological pathways. This narrative literature review aims to provide an overview of the existing evidence on metabolomic studies evaluating DM associated with sarcopenia. Advancements in targeted and untargeted metabolomics techniques could provide better insight into the pathogenesis of sarcopenia in DM and describe their entangled and fluctuating interrelationship. Recent evidence showed that sarcopenia in DM induced significant changes in protein, lipid, carbohydrate, and in energy metabolisms in humans, animal models of DM, and cell cultures. Newer metabolites were reported, known metabolites were also found significantly modified, while few amino acids and lipids displayed a dual behavior. In addition, several therapeutic approaches proved to be promising interventions for slowing the progression of sarcopenia in DM, including physical activity, newer antihyperglycemic classes, D-pinitol, and genetic USP21 ablation, although none of them were yet validated for clinical use. Conversely, ceramides had a negative impact. Further research is needed to confirm the utility of these findings and to provide potential metabolomic biomarkers that might be relevant for the pathogenesis and treatment of sarcopenia in DM. Full article

Background/Objectives: In recent years, lipids have emerged as critical regulators of different disease processes, being involved in cancer pathogenesis, progression, and outcome. Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging (MALDI-MSI) has significantly expanded the technology’s reach, enabling spatially resolved profiling of lipids directly from tissue, including formalin-fixed paraffin-embedded (FFPE) specimens. In this context, MALDI matrix selection is crucial for lipid extraction and ionization, influencing key aspects such as molecular coverage and sensitivity, especially in such specimens with already depleted lipid content. Thus, in this work, we aim to explore the feasibility of mapping lipid species in FFPE clinical samples with MALDI-MSI using 6-aza-2-thiothymine (ATT) as a matrix of choice. Methods: To do so, ATT performances were first compared to those two other matrices commonly used for lipidomic analyses, 2′,5′-dihydroxybenzoic acid (DHB) and Norharmane (NOR), on lipid standards. Results: As a proof-of-concept, we then assessed ATT’s performance for the MALDI-MSI analysis of lipids in FFPE brain sections, both in positive and negative ion modes, comparing results with those obtained from other commonly used dual-polarity matrices. In this context, ATT enabled the putative annotation of 98 lipids while maintaining a well-balanced detection of glycerophospholipids (60.2%) and sphingolipids (32.7%) in positive ion mode. It outperformed both DHB and NOR in the identification of glycolipids (3%) and fatty acids (4%). Additionally, ATT exceeded DHB in terms of total lipid count (62 vs. 21) and class diversity and demonstrated performance comparable to NOR in negative ion mode. Moreover, ATT was applied to a FFPE glioblastoma tissue microarray (TMA) evaluating the ability of this matrix to reveal biologically relevant lipid features capable of distinguishing normal brain tissue from glioblastoma regions. Conclusions: Altogether, the results presented in this work suggest that ATT is a suitable matrix for pathology imaging applications, even at higher lateral resolutions of 20 μm, not only for proteomic but also for lipidomic analysis. This could enable the use of the same matrix type for the analysis of both lipids and peptides on the same tissue section, offering a unique strategic advantage for multi-omics studies, while also supporting acquisition in both positive and negative ionization modes. Full article

Flavonoids constitute a broad class of naturally occurring chemical compounds classified as polyphenols, widely present in various plants, fruits, and vegetables. They share a common flavone backbone, composed of two aromatic rings (A and B) connected by a three-carbon bridge forming a heterocyclic ring (C). One representative flavonoid is chrysin, a compound found in honey, propolis, and passionflower (Passiflora spp.). Chrysin exhibits a range of biological activities, including antioxidant, anti-inflammatory, anticancer, neuroprotective, and anxiolytic effects. Its biological activity is primarily attributed to the presence of hydroxyl groups, which facilitate the neutralization of free radicals and the modulation of intracellular signaling pathways. Cellular uptake of chrysin and other flavonoids occurs mainly through passive diffusion; however, certain forms may be transported via specific membrane-associated carrier proteins. Despite its therapeutic potential, chrysin’s bioavailability is significantly limited due to poor aqueous solubility and rapid metabolism in the gastrointestinal tract and liver, which reduces its systemic efficacy. Ongoing research aims to enhance chrysin’s bioavailability through the development of delivery systems such as lipid-based carriers and nanoparticles. Full article