Search Results (7,384)

Background/Objectives: The aim of the study was to assess the metabolic response of women to a six-week consumption of full-fat sheep milk yogurt, with a focus on cardiovascular risk markers, lipid profile, and subfractions of low-density (LDL) and high-density (HDL) lipoproteins of both atherogenic and non-atherogenic nature. Methods: A total of 55 women were enrolled in the nutritional intervention after the application of inclusion criteria. Blood samples were collected at baseline and after the six-week intervention period. Lipoprotein subfractions were determined in serum using the Lipoprint System LDL/HDL Subfractions Kit in combination with the Lipoprint^® analyzer. Results: In the group of women over 40 years of age with overweight or obesity, without adjustment for total cholesterol, a significant increase was observed in selected HDL subfractions (intermediate HDL-6, HDL-7 and small HDL-8, HDL-9; p < 0.05), while the small/large HDL ratio, LDL subfractions, and mean LDL particle size remained unchanged (p > 0.05). A decrease in triglycerides, LDL/HDL ratio, TG/HDL ratio, and cardiovascular risk index was recorded, alongside a slight increase in LDL-C and HDL-C levels. After adjustment for total cholesterol (T-C), no significant deterioration in the lipid profile was observed in either the group with normal or elevated T-C levels; in the group with elevated T-C, only the intermediate HDL-7 subfraction increased significantly (p < 0.05). Despite the presence of risk-level values in some parameters already at baseline (VLDL, IDL-A, IDL-B, small HDL), no worsening was observed. Conclusions: Six-week consumption of full-fat sheep milk yogurt did not lead to deterioration of the lipid profile or lipoprotein subfractions. The results suggest a neutral to mildly beneficial effect on selected cardiovascular risk markers. Full article

Rapeseed is a major source of vegetable oil and contains a wide variety of metabolites. Recent advances, particularly the integration of metabolomics with other omics approaches, have enabled not only comprehensive but also detailed analyses of key metabolites that respond to specific conditions. To date, these recent advances in the metabolomics of Brassica crops have not yet been fully clarified. In this review, we seek to summarize the recent progresses in metabolomics studies of Brassica rapa, B. napus and B. juncea, introduce the key metabolites spanning nucleic acids, amino acids, fatty acids, lipids, organic acids, alkaloids, phenylpropanoids, terpenoids, flavonoids and glucosinolates uncovered by this approach, focusing on those associated with growth and development, and abiotic/biotic stresses, including macronutrient availability, temperature, water stress, salt stress, aluminum and cadmium toxicity, and infection of Sclerotinia sclerotiorum, Leptosphaeria maculans, and Plasmodiophora brassicae. Future perspectives and current challenges in metabolomics integrating with other omics are also discussed, along with its potential for breeding applications, especially in new marker discovery, trait prediction, and even metabolic selection, aimed at developing new rapeseed varieties with stable, high-yielding, and quality traits. Full article

Allomyrinasin is an antimicrobial peptide derived from the larvae of the edible insect Allomyrina dichotoma and has been reported to exert anti-inflammatory activity, although its role in metabolic regulation remains unclear. This study aimed to investigate the metabolic and hepatoprotective effects of allomyrinasin in a high-fat diet (HFD)–induced obese mouse model. Male C57BL/6J mice were fed an HFD for 6 weeks to induce body weight gain and hyperglycemia, followed by 10 weeks of oral administration of allomyrinasin (0.1 mg/kg/day) under continued HFD conditions, with metformin used as a positive control. Metabolic parameters related to glucose homeostasis, insulin sensitivity, lipid metabolism, hepatic injury, oxidative stress, inflammation, and fibrotic responses were evaluated. Allomyrinasin significantly attenuated HFD-associated body weight gain and improved glucose tolerance and insulin sensitivity. These effects were accompanied by favorable modulation of serum lipid profiles and suppression of hepatic lipogenic signaling, including reduced expression of key regulators of de novo lipogenesis. In parallel, allomyrinasin mitigated hepatic inflammatory, fibrotic, and oxidative stress-related alterations, as reflected by improvements in biochemical markers and molecular analyses. Collectively, these findings indicate that allomyrinasin contributes to the improvement of metabolic regulation and hepatic homeostasis in HFD-fed mice. Our results support allomyrinasin as a promising food-applicable bioactive peptide and potential functional ingredient for the prevention or management of obesity-related metabolic disorders. Full article

Background/Objectives: Type 2 diabetes mellitus (T2DM) is a prevalent metabolic disorder associated with substantial long-term morbidity and mortality. Routinely collected anthropometric, biochemical, and hematological variables may contain useful discriminatory information for data-driven classification. This study aimed to compare the apparent classification performance of multiple machine learning algorithms for distinguishing individuals with and without T2DM using routinely obtained clinical parameters in a single-center dataset. Methods: This single-center observational study included 160 adults (95 females, 65 males) evaluated at the Endocrinology Outpatient Clinic of Gaziantep Islam Science and Technology University, Faculty of Medicine, Ersin Arslan Training and Research Hospital. The dataset comprised anthropometric measurements, biochemical markers, and complete blood count parameters. SMOTE was applied only within the training folds to address class imbalance and to avoid information leakage. Following fold-internal data preprocessing, which included imputing missing values and feature standardization where appropriate, the dataset was evaluated using stratified 5-fold cross-validation. SHAP analysis was performed to interpret the model predictions. A calibration curve was used to assess the model’s reliability. Eight supervised machine learning models were evaluated with and without HbA1c: Logistic Regression, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Decision Tree, Random Forest, Extra Trees, Gaussian Naive Bayes, and k-Nearest Neighbors. Model performance was evaluated using accuracy, sensitivity, specificity, and F1 score, and ROC curves were used as a diagnostic tool. Results: The models were evaluated in two different ways: with and without HbA1c. Random Forest demonstrated the best classification performance in the cross-validated evaluation; without HbA1c, it achieved 92.2% accuracy, 93.9% sensitivity, 97.9% specificity, and a 95.9% F1 score. When HbA1c was included, it achieved 98.0% accuracy, 97.9% sensitivity, 98.8% specificity, and a 99.0% F1 score. Decision Tree and Extra Trees demonstrated strong performance with accuracy rates of 87.6% and 92.8%, respectively, without HbA1c, and 90% and 93.5% when HbA1c was included; in contrast, KNN yielded the lowest accuracy rate (70.6%). Overall, tree-based models performed better than linear classifiers on this dataset. Conclusions: Machine learning models based on routine clinical and anthropometric variables demonstrated promising performance for T2DM classification in this single-center dataset; tree-based approaches yielded the most promising results. Including HbA1c improved the models’ ability to classify individuals with and without T2DM. However, since HbA1c was included both as a predictor and as part of the operational definition of the diabetes group, the findings should be interpreted with caution due to the risk of target leakage. Therefore, these results should be considered exploratory rather than evidence of clinically applicable predictive performance, and an independent external validation study should be conducted prior to clinical application. Full article

The interaction between Pneumocystis jirovecii and systemic inflammation has emerged as a potential modulator of cardiovascular risk. This review describes the potential of β-glucans to contribute to atherogenic inflammation. A narrative review was developed on the PubMed/MEDLINE, Scopus, Web of Science and Google Scholar databases. The inflammatory pathways induced by β-glucans from P. jirovecii contrast with the immunometabolic effects of dietary β-glucans. The relevance of serum (1→3)-β-D-glucans as a marker of systemic exposure was also described, although it is not specific to P. jirovecii. P. jirovecii β-glucans activate Syk–CARD9–NFκB, MAPK and STAT3 signalling pathways. This signalling promotes proinflammatory monocyte/macrophage polarization and a systemic microenvironment of low-grade inflammation with proatherogenic potential. The serum persistence of (1→3)-β-D-glucan indicates prolonged exposure, even in the absence of overt clinical manifestations of colonization. Conversely, dietary β-glucans have been observed to elicit regulatory effects facilitated by microbiota and metabolism. In experimental setting, a causal link has been established between fungal β-glucans and atherosclerosis. P. jirovecii β-glucans act as immunological mediators capable of amplifying pulmonary and systemic inflammation, constituting a possible modulator of cardiovascular risk. Distinguishing between fungal and dietary β-glucans is imperative for comprehending emerging mechanisms of vascular inflammation. Full article

Adipose tissue expansion in obesity is accompanied by extracellular matrix (ECM) remodeling, regulated by matrix metalloproteinases (MMPs). Visceral adipose tissue (VAT) is metabolically more active than subcutaneous adipose tissue (SAT). However, depot-specific differences in proteolytic activity and protein glycooxidation remain incompletely characterized. In this case–control study, we assessed the activity of six matrix metalloproteinases (MMP-1, -2, -7, -9, -11, and -13) using a fluorescence resonance energy transfer (FRET) assay and quantified advanced glycation- and glycooxidation-related markers in paired VAT, SAT, and plasma samples obtained from 40 patients with obesity and 21 non-obese controls. The activities of all assessed MMPs were greater in patients with obesity than in the control group (p < 0.01 for all MMPs). Direct tissue-compartment comparisons showed that MMP activity and glycooxidation-related markers were most pronounced in VAT, with markedly higher values in obese individuals compared with controls. In VAT of obese individuals, median MMP activity was approximately 50–60% higher compared with controls. Amyloid cross-β-structure, vesperlysine, and pentosidine were significantly elevated in VAT in obesity, whereas plasma levels were markedly lower and showed limited group differences. No significant differences were observed between obese participants with and without metabolic syndrome. Obesity is associated with a depot-specific molecular profile characterized by enhanced proteolytic and glycooxidative activity predominantly within visceral adipose tissue. These findings highlight the importance of tissue-compartment-specific assessment in obesity. Full article

Background: Post-COVID syndrome represents a significant medical and public health challenge, particularly among older adults and individuals with type 2 diabetes mellitus (T2DM), in whom disturbances in immune and metabolic homeostasis may contribute to the development and persistence of symptoms following SARS-CoV-2 infection. Objective: To investigate the clinical, immunological, and metabolic characteristics of post-COVID syndrome in older adults with T2DM. Methods: A cross-sectional comparative study was conducted involving 141 patients aged ≥ 60 years who were evaluated more than one year after SARS-CoV-2 infection. Clinical data, anthropometric measurements, complete blood count parameters, biochemical markers, glycated hemoglobin (HbA1c), and SARS-CoV-2-specific IgG antibodies were assessed. Statistical analyses were performed using nonparametric methods, while Pearson’s χ² test was applied for categorical variables. A p-value < 0.05 was considered statistically significant. Results: Symptoms consistent with post-COVID syndrome one year after SARS-CoV-2 infection were identified in 53.2% of participants. No significant differences in anthropometric characteristics, hematological parameters, or most biochemical markers were observed between patients with and without post-COVID syndrome. Patients with T2DM exhibited higher fasting glucose, HbA1c, and SARS-CoV-2–specific IgG antibody levels, reflecting underlying metabolic characteristics and differences in humoral immune responses during the late post-COVID period. Conclusions: Post-COVID syndrome symptoms were frequently observed among older adults at the time of assessment, more than one year after SARS-CoV-2 infection, despite normalization of most laboratory parameters. In patients with T2DM, higher glucose, HbA1c, and antibody levels likely reflect underlying metabolic characteristics rather than a direct effect of post-COVID syndrome. Further longitudinal studies are warranted to clarify the long-term clinical significance of the observed metabolic and immunological findings. Full article

Background/Objectives: Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia, dyslipidemia, and oxidative stress, leading to severe systemic complications. Medicinal plants rich in polyphenolic compounds have gained increasing attention as complementary therapeutic agents. This study aimed to comparatively evaluate the chemical composition, as well as the antidiabetic, hypolipidemic, and antioxidant effects of Polygonum persicaria and Vaccinium myrtillus in a streptozotocin-induced diabetic model. Although Vaccinium myrtillus has been more extensively investigated for its antidiabetic potential, the pharmacological relevance of Polygonum persicaria in diabetes remains insufficiently characterized, particularly in direct comparison with a recognized phytotherapeutic comparator. Methods: Hydroalcoholic tinctures prepared from Polygonum persicaria L. herb and Vaccinium myrtillus L. leaves were subjected to phytochemical analysis using High-Performance Thin-Layer Chromatography (HPTLC) for the identification of flavonoids and phenolcarboxylic acids, alongside spectrophotometric determination of total polyphenol and flavonoid content. Experimental diabetes was induced in CD1 mice by streptozotocin administration. Animals were treated orally for 35 days, and glycemic parameters, lipid profile, body weight, food and water intake, and oxidative stress markers (MDA, SOD, TAC, and GPx) were evaluated. Results: HPTLC/CSS screening indicated the presence of rutin, chlorogenic acid, and caffeic acid in Polygonum persicaria, while Vaccinium myrtillus showed stronger densitometric signals for phenolcarboxylic acid-type compounds, particularly chlorogenic and caffeic acids. Total polyphenol and flavonoid content were also higher in Vaccinium myrtillus (433.89 ± 8.67 mg/L GAE; 154.38 ± 3.08 mg/L QE) compared to Polygonum persicaria (269.28 ± 5.25 mg/L GAE; 132.75 ± 2.65 mg/L QE). Functionally, Vaccinium myrtillus demonstrated a significant antihyperglycemic effect from day 14 (p = 0.009) and improved lipid parameters, while Polygonum persicaria showed a delayed glycemic effect, significant only at day 35 (p = 0.014), without significant hypolipidemic activity. In contrast, Polygonum persicaria exerted a marked antioxidant effect, significantly increasing GPx activity (p = 0.025) and reducing MDA levels (p = 0.053). Conclusions: Vaccinium myrtillus showed stronger antihyperglycemic and hypolipidemic effects, while Polygonum persicaria was mainly associated with antioxidant-related biochemical changes. These differences may be influenced by phytochemical composition, but they cannot be attributed solely to total polyphenol or flavonoid content. Full article

The prevalent endocrine disruptor bisphenol A (BPA) is associated with aging-related conditions, including metabolic disorders. It has been shown that BPA promotes bone fragility through oxidative stress-induced apoptosis and impaired osteoblast differentiation. The identification of sustainable bioactive substances that alleviate BPA-induced bone toxicity is thus of biomedical and environmental significance. Wolffia globosa (WG), the world’s smallest flowering aquatic plant, has recently gained attention as a high-protein, antioxidant-rich nutraceutical, yet its impact on BPA-induced osteoblast dysfunction has not been systematically investigated. This study presents a comprehensive assessment of WG ethanolic extract (WGE) in MC3T3-E1 pre-osteoblasts, incorporating thorough phytochemical characterization, acute high-dose and chronic low-dose BPA exposure models, and multi-faceted mechanistic analysis. LC-MS/MS profiling identified luteolin (116.17 ± 0.69 µg/g), rosmarinic acid (54.80 ± 2.12 µg/g), and apigenin (48.77 ± 0.61 µg/g) as the predominant bioactive compounds. WGE exhibited potent antioxidant capacity across DPPH and ABTS radical scavenging assays, complemented by high ORAC and FRAP values, reflecting broad-spectrum antioxidant mechanisms. Treatment with WGE (25 and 50 µg/mL) resulted in significant alleviation of BPA-induced cytotoxicity, decreased intracellular ROS levels, and inhibited apoptosis. WGE (12.5 µg/mL) also modulated autophagy-related markers (LC3-II, Beclin-1, and p62), suggesting potential autophagic participation, although flux verification was not conducted. Treatment with WGE (12.5 µg/mL) also restored BPA-suppressed osteogenesis under chronic exposure, as evidenced by enhanced alkaline phosphatase activity, and increased both mineralization and upregulation of osteogenic genes including runt-related transcription factor2 (Runx2), collagen type I alpha 1 (Colla1), alkaline phosphatase (ALP), and osteocalcin (OCN). These effects were accompanied by partial reactivation of Wnt/β-catenin signaling. This study is the first to demonstrate that WGE protects osteoblasts from BPA toxicity by concurrently strengthening antioxidant defenses, limiting apoptosis, modulating autophagy-related markers, and supporting β-catenin-mediated osteogenesis, highlighting WG as a promising sustainable nutraceutical candidate for the prevention of environmental toxin-related bone fragility. Full article

Objectives: This study aimed to develop a prognostic model for isolated moderate-to-severe traumatic brain injury (TBI) (Glasgow Coma Scale [GCS] ≤ 12) using readily available variables and to explore paired blood–cerebrospinal fluid (CSF) metabolomic signatures. Methods: Consecutive TBI patients admitted between January 2019 and June 2025 were retrospectively analyzed. Multivariate logistic regression with bootstrap internal validation identified predictors of 6-month unfavorable outcome and in-hospital mortality. Untargeted metabolomics was performed on paired blood and CSF samples from 30 matched male patients. Results: Among 405 patients, 266 (65.7%) had unfavorable outcomes and 54 (13.3%) died in hospital. Rotterdam CT Score (odds ratio [OR] 10.59, 95% confidence interval [CI] 6.19–18.14), initial lactate (OR 1.81, 95% CI 1.38–2.36), and blood glucose (OR 1.40, 95% CI 1.21–1.64) predicted unfavorable outcome (area under the receiver operating characteristic curve [AUC] 0.97). GCS motor score (OR 0.50, 95% CI 0.37–0.66), initial lactate (OR 1.57, 95% CI 1.31–1.91), and follow-up lactate (OR 1.57, 95% CI 1.34–1.88) predicted mortality (AUC 0.96). Blood metabolomics revealed enrichment in energy and lipid metabolism pathways. CSF metabolomics highlighted neurotransmitter pathway dysregulation and neuroinflammatory markers, with depleted kynurenic acid in both biofluids. Conclusions: Readily available admission variables enable early bedside risk stratification in TBI. Metabolomic profiling links unfavorable outcomes to systemic energy–lipid dysregulation and central neuroinflammatory–neurotransmitter disturbances, with the tryptophan–kynurenine axis as a potential therapeutic target for neuroprotective strategies. Full article

Seasonal variation in aroma quality is critical for commercial grading of Xinyang Maojian (XYMJ) green tea, and how seasonal changes shape its volatile composition and aroma profile remains unclear. This study investigated the volatile profiles of XYMJ harvested in spring, summer, and autumn using headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) and odor activity value (OAV) analysis. A total of 93 volatile compounds were identified, with alkenes, alcohols, and esters being the most numerous chemical classes. Total volatile content decreased significantly seasonally (p < 0.05), being highest in spring (1716.68 μg/kg), followed by summer (1566.72 μg/kg) and autumn (1378.21 μg/kg). PCA and PLS-DA clearly distinguished seasons. Using a dual-filtering strategy (variable importance in the projection > 1.0 and p < 0.01), 14 differential volatile metabolites were identified as core seasonal markers. Geraniol, cis-jasmone, and indole were identified as key drivers of the premium floral fragrance in spring XYMJ, while cis-3-hexenyl hexanoate and linalool peaked in the summer harvest. OAV results and cross-modal sensory interaction principles suggest that the superior flavor of spring XYMJ arises from both higher aromatic intensity and an optimized aroma-taste balance. These findings provide useful insights into the seasonal variations in the metabolic and chemical profiles of XYMJ, enhancing our understanding of the biochemical markers associated with its production timeline. Full article

Macrophages are highly plastic innate immune cells that adopt context-dependent phenotypes along a continuum, integrating developmental origin with local microenvironmental cues rather than conforming to discrete M1/M2 states. This review delineates the molecular circuits shaping macrophage identity—TLR/cytokine signaling, microRNA networks, metabolic rewiring, and epigenetic mechanisms including histone lactylation—and traces how circulating monocyte subsets contribute to tissue macrophage diversity. We examine macrophage plasticity across a broad disease spectrum—oncology, autoimmune and rheumatic diseases, inflammatory bowel disease, infectious diseases, metabolic disorders, and neurological conditions—showing that the pathogenic phenotype is strikingly context-dependent: for instance, M2-like tumor-associated macrophages promote immune evasion in solid tumors, whereas M1-skewed programs drive tissue damage in autoimmunity. Soluble markers (sCD163, sCD14, soluble mannose receptor) are emerging biomarkers of disease activity and prognosis. High-dimensional flow cytometry and mass cytometry (CyTOF) bridge molecular biology and clinical phenotyping, enabling integrated readouts of surface phenotype, intracellular signaling, and metabolic state. Therapeutic strategies discussed include selective tumor-associated macrophage (TAM) reprogramming, chimeric antigen receptor (CAR)-M cell therapies, and biomaterial-based platforms. Future priorities encompass spatially resolved multi-omics, epigenetic and metabolic targeting, and macrophage-centered vaccine approaches. Standardized cytometry panels will be essential for biomarker-guided stratification and context-specific interventions. Full article

Background/Objectives: Hearing loss and dementia are highly prevalent conditions in older adults and represent a growing public health challenge. Over the past decade, a substantial body of epidemiological evidence has demonstrated a consistent association between age-related hearing loss and cognitive dysfunction, including incident dementia. However, the nature of this relationship remains incompletely understood. Methods: This narrative review provides a structured overview of current evidence, focusing on epidemiological findings, mechanistic pathways, and clinical implications. Hearing loss has been associated with both accelerated cognitive decline and increased dementia risk, with a clear severity–impact relationship. Results: Several interacting mechanisms have been proposed, including increased cognitive load, structural and functional brain changes, social isolation, and shared vascular and metabolic risk factors. Emerging concepts such as the “auditory brain” and central auditory dysfunction further suggest that hearing impairment may also represent an early manifestation of neurodegenerative processes. Intervention studies have yielded mixed results. While hearing rehabilitation improves communication and quality of life, randomized evidence has not consistently demonstrated a reduction in cognitive decline in the general population, but potential benefits may exist in higher-risk subgroups. Increasing attention has been directed toward the role of neuroplasticity, with evidence suggesting that delayed intervention may limit the effectiveness of rehabilitation due to long-standing auditory deprivation. Conclusions: Taken together, current evidence suggests that hearing loss may represent both a potentially modifiable risk factor and an early marker of cognitive decline. Early identification and timely management of hearing impairment may therefore play an important role in maintaining cognitive and brain health and improving quality of life in older adults. Full article

Background: Steatotic liver disease (SLD) and sarcopenia are lifestyle-related conditions for which prevention is critical. The phase angle, which is derived from impedance, reactance, and resistance values obtained via bioelectrical impedance analysis, has emerged as a potential marker of sarcopenia. Additionally, amino acids have been implicated in the pathogenesis of both SLD and sarcopenia. This epidemiological study investigated the association between SLD and sarcopenia in a general population cohort. Methods: This cross-sectional study included 281 participants with metabolic dysfunction-associated steatotic liver disease (MASLD), 72 with metabolic alcohol-associated liver disease (MetALD), and 54 with alcohol-associated liver disease (ALD). Associations between phase angle, Mac-2-binding protein glycosylation isomer (M2BPGi) as a marker of liver fibrosis, and serum amino acid levels were analyzed. Results: The phase angle was significantly higher in the MetALD group than in the MASLD and ALD groups. Multivariate analysis identified MASLD as an independent risk factor for a low phase angle compared with MetALD. M2BPGi levels were lower in MetALD than in MASLD, and M2BPGi showed a negative correlation with the phase angle. Furthermore, MetALD was characterized by lower serine and glutamine levels than MASLD, with serine demonstrating a negative correlation with the phase angle. Conclusions: Although the possibility of residual confounding factors cannot be excluded, the present study suggests that phase angle may serve as a sensitive marker for the early decline in muscle mass in patients with SLD, comparable to grip strength and skeletal muscle mass index. Full article

Background/Objectives: Whether anesthetic maintenance influences tumor biology in cervical cancer remains unsettled. We examined whether plasma extracellular vesicles (EVs) collected during sevoflurane or propofol anesthesia differentially affect HeLa cell behavior and explored lipidomic alterations associated with the biologically active EV condition. Methods: In a single-center prospective observational cohort, paired plasma samples were collected before anesthesia induction and before wound closure from 53 patients with stage II cervical cancer undergoing radical surgery under sevoflurane (n = 28) or propofol (n = 25) anesthesia. EV preparations were characterized by transmission electron microscopy, nanoparticle tracking analysis, and immunoblotting for EV markers. Their effects on HeLa cell proliferation, invasion, and wound closure, as well as HUVEC tube formation, were examined in vitro. EV miRNA profiles were analyzed by small-RNA sequencing. Lipidomic profiling by LC-MS and immunoblot analysis of EGFR/PKCα/NF-κB signaling were performed in recipient HeLa cells exposed to sevoflurane-associated EVs. Results: EVs collected after sevoflurane anesthesia increased HeLa cell proliferation, invasion, and wound closure and enhanced endothelial branching in HUVEC tube-formation assays, whereas post-propofol EVs showed no comparable phenotype. Small-RNA sequencing identified distinct anesthesia-associated EV miRNA changes, with the sevoflurane-related signature enriched in glycerolipid metabolism, glycerophospholipid metabolism, glycosylphosphatidylinositol-anchor biosynthesis, phosphatidylinositol signaling, and inositol phosphate metabolism. In HeLa cells treated with post-sevoflurane EVs, lipidomic analysis showed clear separation from pre-sevoflurane EV-treated cells and identified increased diacylglycerol (DG) species, including DG (16:1/18:2), DG (16:0/16:1), DG (18:2/18:2), DG (18:2/20:4), and DG (16:0/18:2). These changes were accompanied by higher p-EGFR, PKCα, and p-NF-κB p65 levels. Several DG species correlated positively with proliferation and invasion readouts and inversely with residual wound area. Conclusions: Plasma EVs collected after sevoflurane anesthesia were associated with a more aggressive phenotype in recipient cervical cancer cells and with lipid remodeling characterized by DG accumulation and altered EGFR/PKCα/NF-κB signaling. The data support an exploratory mechanistic model linking sevoflurane-associated EV cargo to metabolic reprogramming in cervical cancer cells. Full article