Search Results (4,522)

Background: Acute lung injury (ALI) and its severe form, acute respiratory distress syndrome (ARDS), remain major causes of morbidity and mortality, yet no targeted pharmacological therapy is available. Excessive neutrophil and macrophage infiltration drives reactive oxygen species (ROS) production and cytokine release, leading to alveolar–capillary barrier disruption and fatal respiratory failure. Methods: We applied an integrative multi-omics strategy combining single-cell transcriptomics, peripheral blood proteomics, and lung tissue proteomics in a lipopolysaccharide (LPS, 10 mg/kg)-induced mouse ALI model to identify key signaling pathways. Harpagide, an iridoid glycoside identified from our natural compound screen, was evaluated in vivo (40 and 80 mg/kg) and in vitro (0.1–1 mg/mL). Histopathology, oxidative stress markers (SOD, GSH, and MDA), cytokine levels (IL-6 and IL-1β), and signaling proteins (HIF-1α, p-PI3K, p-AKT, Nrf2, and HO-1) were quantitatively assessed. Direct target engagement was probed using surface plasmon resonance (SPR), the cellular thermal shift assay (CETSA), and 100 ns molecular dynamics (MD) simulations. Results: Multi-omics profiling revealed robust activation of HIF-1, PI3K/AKT, and glutathione-metabolism pathways following the LPS challenge, with HIF-1α, VEGFA, and AKT as core regulators. Harpagide treatment significantly reduced lung injury scores by ~45% (p < 0.01), collagen deposition by ~50%, and ROS accumulation by >60% relative to LPS (n = 6). The pro-inflammatory cytokines IL-6 and IL-1β were reduced by 55–70% at the protein level (p < 0.01). Harpagide dose-dependently suppressed HIF-1α and p-AKT expression while enhancing Nrf2 and HO-1 levels (p < 0.05). SPR confirmed direct binding of Harpagide to HIF-1α (KD = 8.73 µM), and the CETSA demonstrated enhanced thermal stability of HIF-1α. MD simulations revealed a stable binding conformation within the inhibitory/C-TAD region after 50 ns. Conclusions: This study reveals convergent immune–microenvironmental regulatory mechanisms across cellular and tissue levels in ALI and demonstrates the protective effects of Harpagide through multi-pathway modulation. These findings offer new insights into the pathogenesis of ALI and support the development of “one-drug, multilayer co-regulation” strategies for systemic inflammatory diseases. Full article

Breast cancer, a leading global malignancy, exhibits extensive metabolic reprogramming that drives tumorigenesis, therapy resistance, and survival. Ferroptosis, an iron-dependent regulated cell death mechanism characterized by lipid peroxidation, emerges as a promising therapeutic vulnerability, particularly in aggressive subtypes like triple-negative breast cancer (TNBC). This literature review comprehensively explores the metabolic regulation of ferroptosis in breast cancer cells, focusing on how dysregulated pathways modulate sensitivity or resistance. The review will discuss iron homeostasis, including upregulated transferrin receptor 1 (TFR1), diminished ferroportin, mitochondrial dynamics, and ferritinophagy, which catalyze ROS via Fenton reactions. It will examine glutathione (GSH) metabolism through the GPX4-GSH axis, with subtype-specific reliance on cystine import via xCT or de novo cysteine synthesis. Lipid metabolism will be analyzed as the core battleground, highlighting polyunsaturated fatty acid (PUFA) incorporation by ACSL4 promoting peroxidation, contrasted with monounsaturated fatty acid (MUFA) protection via SCD1, alongside subtype adaptations. Further, the review will address tumor microenvironment influences, such as cysteine supply from cancer-associated fibroblasts and oleic acid from adipocytes. Oncogenic signaling (e.g., RAS, mTOR) and tumor suppressors (e.g., p53) will be evaluated for their roles in resistance or sensitivity. Intersections with glucose metabolism (Warburg effect) and selenium-dependent antioxidants will be explored. Therapeutically, the review will consider targeting these nodes with GPX4 inhibitors or iron overload, synergized with immunotherapy for immunogenic cell death. Future directions will emphasize multi-omics integration and patient-derived organoids to uncover subtype-specific strategies for precision medicine in breast cancer. Full article

Cardiomyopathies affect over 3 million individuals globally, with conventional treatments exhibiting up to 60% resistance and 25% 30-day readmission rates. This review synthesizes the current evidence on the role of neuro-immune interactions in the pathogenesis of cardiomyopathy and evaluates emerging therapies targeting this axis. We systematically examined clinical trials and mechanistic and multi-omics data across cardiomyopathy phenotypes, focusing on autonomic-immune dysregulation. Sympathetic overactivation, present in approximately 85% of patients, correlates with elevated pro-inflammatory cytokines (TNF-α, IL-1β, and IL-6) and contributes significantly to therapeutic non-response. Concurrent parasympathetic withdrawal impairs cholinergic anti-inflammatory pathways, as reflected by reduced heart rate variability and baroreflex sensitivity. At the molecular level, shared mechanisms include inflammasome activation, neuroimmune synaptic signaling, and neurogenic inflammation. Emerging therapies targeting this axis are promising. Vagus nerve stimulation, as demonstrated in the INOVATE-HF trial, improves functional outcomes, whereas IL-1β antagonists reduce cardiovascular events by 15–20% in the context of inflammatory diseases. Bioelectronic interventions, such as transcutaneous vagal nerve stimulation and baroreflex activation therapy, offer noninvasive dual-modulatory strategies that address both neural and immune pathways, positioning the neuroimmune axis as a central driver of cardiomyopathy, regardless of etiology. The integration of genetic and metabolomic profiling may enable precision therapies targeting neuroimmune circuits, thereby overcoming the limitations of hemodynamic-focused care. This mechanistic framework shifts the therapeutic paradigm from symptomatic relief to targeted modulation of pathogenic pathways, with implications for millions of patients with cardiomyopathy and broader inflammatory cardiovascular disorders. Full article

The MADS-box transcription factors play essential roles in various processes of plant growth and development. Here, we identified 107 MADS-box genes in Osmanthus fragrans Lour. genome (OfMADS), encoding proteins ranging from 61 to 608 amino acids. Phylogenetic analysis classified these genes into five subfamilies: MIKC*, MIKCC, Mα, Mβ, and Mγ, with conserved motif architectures within subfamilies. Tandem and whole-genome duplications were identified as key drivers of OfMADS expansion. Cis-regulatory element analysis revealed enrichment for hormone response and developmental regulatory motifs, implicating roles in growth and flowering processes. Transcriptome dynamics across six floral developmental stages (bolting to petal shedding) uncovered 78 differentially expressed OfMADS genes, including 16 exhibiting flower-specific expressions. Integrated metabolome profiling demonstrated robust correlations between critical OfMADS regulators and scent metabolites. This nexus suggests a potential role of these OfMADS in regulating specialized metabolite biosynthesis pathways. Our multi-omics study provides insights into the regulatory hierarchy of OfMADS in coordinating floral morphogenesis and the accumulation of economically significant metabolites in O. fragrans. These findings establish a foundation for subsequent functional validation and molecular breeding of horticultural traits. Full article

Advances in geroscience suggest that aging is modulated by molecular pathways that are amenable to dietary and pharmacological intervention. We conducted an integrative critical review of caloric restriction (CR), intermittent fasting (IF), and caloric restriction mimetics (CR-mimetics) to compare shared mechanisms, clinical evidence, limitations, and translational potential. Across modalities, CR and IF consistently activate AMP-activated protein kinase and sirtuins, inhibit mTOR (mechanistic target of rapamycin) signaling, and enhance autophagy, aligning with improvements in insulin sensitivity, lipid profile, low-grade inflammation, and selected epigenetic aging measures in humans. CR-mimetics, such as metformin, resveratrol, rapamycin, and spermidine, partially reproduce these effects; however, long-term safety and efficacy in healthy populations remain incompletely defined. Methodological constraints—short trial duration, selective samples, intermediate (nonclinical) endpoints, and limited adherence monitoring—impede definitive conclusions on hard outcomes (frailty, disability, hospitalization, mortality). We propose the Active Management of Aging and Longevity (AMAL) model, a three-level biomarker-guided framework that integrates personalized diet, chrono-nutrition, exercise, and the selective use of CR-mimetics, along with digital monitoring and decision support. AMAL emphasizes epigenetic clocks, multi-omics profiling, inflammatory and microbiome metrics, and adaptive protocols to enhance adherence and clinical relevance. Overall, CR, IF, and CR mimetics constitute promising, complementary strategies to modulate biological aging; rigorous long-term trials with standardized biomarkers and clinically meaningful endpoints are needed to enable their scalable implementation. Full article

Background/Objective: Predicting pharmacological response in cancer remains a key challenge in precision oncology due to intertumoral heterogeneity and the complexity of drug–gene interactions. While machine learning models using multi-omics data have shown promise in predicting pharmacological response, selecting the features with the highest predictive power critically affects model performance and biological interpretability. This study aims to compare computational and biologically informed gene selection strategies for predicting drug response in cancer cell lines and to propose a feature selection strategy that optimizes performance. Methods: Using gene expression and drug response data, we trained models on both data-driven and biologically informed gene sets based on the drug target pathways to predict IC₅₀ values for seven anticancer drugs. Several feature selection methods were tested on gene expression profiles of cancer cell lines, including Recursive Feature Elimination (RFE) with Support Vector Regression (SVR) against gene sets derived from drug-specific pathways in KEGG and CTD databases. The predictability was comparatively analyzed using both AUC and IC₅₀ values and further assessed on proteomics data. Results: RFE with SVR outperformed other computational methods, while pathway-based gene sets showed lower performance compared to data-driven methods. The integration of computational and biologically informed gene sets consistently improved prediction accuracy across several anticancer drugs, while the predictive value of the corresponding proteomic features was significantly lower compared with the mRNA profiles. Conclusions: Integrating biological knowledge into feature selection enhances both the accuracy and interpretability of drug response prediction models. Integrative approaches offer a more robust and generalizable framework with potential applications in biomarker discovery, drug repurposing, and personalized treatment strategies. Full article

Fish have become increasingly prominent as experimental models due to their unique capacity to bridge basic biological research with translational applications across diverse scientific disciplines. Their biological traits, such as external fertilization, high fecundity, rapid embryonic development, and optical transparency, facilitate in vivo experimentation and real-time observation, making them ideal for integrative research. Species like zebrafish (Danio rerio) and medaka (Oryzias latipes) have been extensively validated in genetics, toxicology, neuroscience, immunology, and pharmacology, offering robust platforms for modeling human diseases, screening therapeutic compounds, and evaluating environmental risks. This review explores the multidisciplinary utility of fish models, emphasizing their role in connecting molecular mechanisms to clinical and environmental outcomes. We address the main species used, highlight their methodological advantages, and discuss the regulatory and ethical frameworks guiding their use. Additionally, we examine current limitations and future directions, particularly the incorporation of high-throughput omics approaches and real-time imaging technologies. The growing scientific relevance of fish models reinforces their strategic value in advancing cross-disciplinary knowledge and fostering innovation in translational science. Full article

Quinoa (Chenopodium quinoa Willd.) is an ancient Andean crop renowned for its exceptional nutritional profile and diverse bioactive compounds, including polysaccharides, polyphenols, saponins, and essential fatty acids. As global incidence of colonic diseases such as inflammatory bowel disease (IBD), colorectal cancer (CRC), and celiac disease continues to rise, the therapeutic potential of quinoa has garnered increasing scientific attention. This review systematically examines the role of quinoa, with focus on quinoa polysaccharides (QPs), in maintaining and improving colonic health. It summarizes the molecular structure, functional properties, and gut microbiota-modulating effects of QPs, alongside emerging findings on their anti-inflammatory, antioxidant, immunomodulatory, and anticancer activities. Furthermore, the review explores quinoa’s auxiliary effects in mitigating CRC progression and chemotherapy resistance, alleviating intestinal inflammation, and supporting gastrointestinal integrity in celiac patients. By integrating evidence from multi-omics technologies, cell and animal models, and limited clinical studies with mechanistic insights, this review provides a focused synthesis of quinoa bioactive compounds in relation to colonic health. It highlights how precision nutrition and multi-omics approaches could guide future applications of quinoa as a novel functional food-based intervention for colonic diseases. Full article

Neurodevelopmental disorders (NDDs), including autism spectrum disorder, intellectual disability, and attention-deficit/hyperactivity disorder, are genetically and phenotypically heterogeneous conditions affecting millions worldwide. High-throughput omics technologies—transcriptomics, proteomics, metabolomics, and epigenomics—offer a unique opportunity to link genetic variation to molecular and cellular mechanisms underlying these disorders. However, the high dimensionality, sparsity, batch effects, and complex covariance structures of omics data present significant statistical challenges, requiring robust normalization, batch correction, imputation, dimensionality reduction, and multivariate modeling approaches. This review provides a comprehensive overview of statistical frameworks for analyzing high-dimensional omics datasets in NDDs, including univariate and multivariate models, penalized regression, sparse canonical correlation analysis, partial least squares, and integrative multi-omics methods such as DIABLO, similarity network fusion, and MOFA. We illustrate how these approaches have revealed convergent molecular signatures—synaptic, mitochondrial, and immune dysregulation—across transcriptomic, proteomic, and metabolomic layers in human cohorts and experimental models. Finally, we discuss emerging strategies, including single-cell and spatially resolved omics, machine learning-driven integration, and longitudinal multi-modal analyses, highlighting their potential to translate complex molecular patterns into mechanistic insights, biomarkers, and therapeutic targets. Integrative multi-omics analyses, grounded in rigorous statistical methodology, are poised to advance mechanistic understanding and precision medicine in NDDs. Full article

Cordyceps militaris (C. militaris) is a medicinal fungus renowned for its diverse therapeutic properties, largely attributed to bioactive compounds such as cordycepin, polysaccharides, adenosine, D-mannitol, carotenoids, and ergosterol. However, the production and composition of these metabolites are highly influenced by cultivation conditions, highlighting the need for systematic optimization strategies. This review synthesizes current findings on how nutritional factors—including carbon and nitrogen sources, their ratios, and trace elements—and environmental parameters such as oxygen availability, pH, temperature, and light regulate C. militaris metabolite biosynthesis. The impacts of solid-state fermentation (using grains, insects, and agro-industrial residues) and liquid state fermentation (submerged and surface cultures) are compared, with attention to their roles in mycelial growth, fruiting body formation, and secondary metabolite production. Special emphasis is placed on mixed grain–insect substrates and light regulation, which have emerged as promising methods to enhance cordycepin accumulation. Beyond summarizing advances, this review also identifies key knowledge gaps that must be addressed: (i) the incomplete understanding of metabolite regulatory networks, (ii) the absence of standardized cultivation protocols, and (iii) unresolved challenges in scale-up, including oxygen transfer, foam control, and downstream processing. We propose that future research should integrate multi-omics approaches with bioprocess engineering to overcome these limitations. Collectively, this review highlights both current progress and remaining challenges, providing a roadmap for advancing the sustainable, scalable, and application-driven production of bioactive compounds from C. militaris. Full article

Clinical studies have linked glyphosate exposure to substantial morbidity, with acute kidney injury occurring in some cases. Although the toxic effects of glyphosate-based herbicides (GBHs) have been reported in several studies, their molecular impact on renal function remains poorly understood. Given the kidney’s critical role in excretion, it is particularly susceptible to damage from xenobiotic exposure. In this study, we aim to identify N-glycomics and proteomics change in the kidney following chronic GBH exposure, to better understand the mechanisms behind glyphosate-induced kidney damage. Kidney tissues from female and male rats were analyzed using liquid chromatography–tandem mass spectrometry. The results revealed notable changes in the N-glycan composition, particularly in the fucosylated and sialofucosylated N-glycan types. The proteomic analysis revealed the activation of immune signaling and inflammatory pathways, including neutrophil degranulation, integrin signaling, and MHC class I antigen presentation. Transcription regulators, such as IL-6, STAT3, and NFE2L2, were upregulated, indicating a coordinated inflammatory and oxidative stress response. Sex-specific differences were apparent, with female rats exhibiting more pronounced alterations in both the N-glycan and protein expression profiles, suggesting a higher susceptibility to GBH-induced nephrotoxicity. These findings provide new evidence that chronic GBH exposure may trigger immune activation, inflammation, and potentially carcinogenic processes in the kidney. Full article

Lignocellulosic agricultural residues represent a rich source of potential feedstock for biorefinery applications, but their valorization remains challenging. The white-rot fungus Irpex lacteus J2 exhibited a promising degradation effect, but its molecular mechanisms of lignocellulose degradation remained largely uncharacterized. Here, we performed high-quality whole-genome sequencing and untargeted metabolomic profiling of I. lacteus J2 during the degradation of corn straw as the sole carbon source. The assembled I. lacteus J2 genome contained 14,647 protein-coding genes, revealing a rich genetic repertoire for biomass degradation and secondary metabolite synthesis. Comparative genomics showed high synteny (mean amino acid sequence identity 92.28%) with I. lacteus Irplac1. Untargeted metabolomic analysis unveiled a dynamic metabolic landscape during corn straw fermentation. Dominant metabolite classes included organic acids and derivatives (27.32%) and lipids and lipid-like molecules (25.40%), as well as heterocyclic compounds (20.41%). KEGG pathway-enrichment analysis highlighted significant activation of core metabolic pathways, with prominent enrichment in global metabolism (160 metabolites), amino acid metabolism (99 metabolites), carbohydrate metabolism (24 metabolites), and lipid metabolism (19 metabolites). Fermentation profiles at 3 and 15 days demonstrated substantial metabolic reprogramming, with up to 210 upregulated and 166 downregulated metabolites. Correlation analyses further revealed complex metabolic interdependencies and potential regulatory roles of key compounds. These integrated multi-omics insights significantly expand our understanding of the genetic basis and metabolic versatility, enabling I. lacteus J2 to efficiently utilize lignocellulose. Our findings position I. lacteus J2 as a robust model strain and provide a valuable foundation for developing advanced fungus-based strategies for sustainable bioprocessing and valorization of agricultural residues. Full article

Traumatic brain injury (TBI) remains a major global health problem, contributing significantly to morbidity and mortality worldwide. Despite advances in understanding its complex pathophysiology, current therapeutic strategies are insufficient in addressing the long-term cognitive, emotional, and neurological impairments. While the primary mechanical injury is immediate and unavoidable, the secondary phase involves a cascade of biological processes leading to neuroinflammation, blood–brain barrier (BBB) disruption, and systemic immune activation. The heterogeneity of patient responses underscores the urgent need for reliable biomarkers and targeted interventions. Emerging evidence highlights the gut–brain axis as a critical modulator of the secondary phase, with microbiota-derived extracellular vesicles (MEVs) representing a promising avenue for both diagnosis and therapy. MEVs can cross the intestinal barrier and BBB, carrying biomolecules that influence neuronal survival, synaptic plasticity, and inflammatory signaling. These properties make MEVs promising biomarkers for early detection, severity classification, and prognosis in TBI, while also offering therapeutic potential through modulation of neuroinflammation and promotion of neural repair. MEV-based strategies could enable tailored interventions based on the individual’s microbiome profile, immune status, and injury characteristics. The integration of multi-omics with artificial intelligence is expected to fully unlock the diagnostic and therapeutic potential of MEVs. These approaches can identify molecular subtypes, predict outcomes, and facilitate real-time clinical decision-making. By bridging microbiology, neuroscience, and precision medicine, MEVs hold transformative potential to advance TBI diagnosis, monitoring, and treatment. This review also identifies key research gaps and proposes future directions for MEVs in precision diagnostics and gut microbiota-based therapeutics in neurotrauma care. Full article

Frequent and increasingly severe freezing events threaten citrus production in northern Florida, underscoring the need for strategies that enhance freezing resilience in citrus cultivars. Grafting scions onto tolerant rootstocks provides a physiologically integrative approach to improve stress tolerance. This study aims to elucidate how these interactions modulate physiological and metabolic responses under freezing stress, thereby identifying mechanisms that contribute to enhanced freeze resilience in citrus. Here, we grafted Citrus reticulata (cv. UF-950) onto eight rootstocks (Bitters, Blue-1, C-146, Sour Orange, UFR07TC, UFR09TC, UFR5, and US942) to evaluate scion–rootstock interactions under normal (20 °C) and freezing (−6 °C) conditions. Freezing stress caused a sharp increase in oxidative stress markers, lipid peroxidation, and membrane damage while reducing photosynthetic performance across most combinations. Antioxidant capacity, osmolyte accumulation, and carbon–nitrogen metabolic responses varied significantly among rootstocks, revealing strong genotype-dependent modulation of scion physiology. Among the tested combinations, UF-950 grafted onto UFR5 displayed the highest freezing tolerance, characterized by robust activation of antioxidant enzymes, elevated proline and glycine betaine accumulation, reduced oxidative damage, and sustained carbon–nitrogen metabolic fluxes under freezing stress. These results demonstrate that rootstock genotype governs the extent of scion defense activation and metabolic homeostasis under freezing conditions. Our findings identify UFR5 as a promising rootstock for enhancing freezing resilience in citrus and provide mechanistic insight into how scion–rootstock interaction orchestrates integrative stress tolerance pathways. Future work should focus on multi-omics dissection of rootstock-mediated signaling networks and long-term field validation to optimize rootstock selection for enhanced cold resilience under variable climatic conditions. Full article

This narrative review examines the application of personalized nutrition (PN) through multi-OMICS and trans-OMICS in pediatric populations, particularly in relation to chronic conditions such as obesity, type 2 diabetes, and celiac disease. We synthesize evidence to identify biomarkers and gene–environment interactions and translate molecular insights into individualized dietary guidance. Even though PN represents a promising strategy for optimizing child health, significant challenges remain in translating molecular findings into practical, cost-effective, and equitable interventions. We advocate integrating this knowledge into clinical practice and developing policies and standardized methodologies that ensure accessibility for all pediatric populations. Full article