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At least 127 records · Page 7Linked to original sources

PGC1α expression using targeted redox-responsive nanogels protects against prostate cancer in vivo.

Prostate cancer is among the most frequently diagnosed cancers in men in the UK and US. Increasing evidence implicates metabolic dysregulation as a critical driver of disease progression. Central to this process is peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α) that promotes oxidative metabolism and mitochondrial biogenesis while inhibiting metastatic programs. This work investigated the therapeutic potential of PGC1α overexpression via mRNA delivery. Here, we report a prostate-specific, targeted disulphide-crosslinked nanogel system for intracellular delivery of mRNA encoding the N-terminal isoform of PGC1α (NT-PGC1α). Functionalization of the NGs with a peptide targeting prostate-specific membrane antigen (PSMA) enabled selective delivery of NT-PGC1α mRNA in PCa cells and 3D spheroid models. We confirmed sustained PGC1α expression, and increased mitochondrial protein content, indicative of enhanced mitochondrial biogenesis. These nanogels, which were prepared in situ using a nanopolymerization technique, exhibited high mRNA loading capacity, low cytotoxicity, and redox-responsive cargo release, enabling controlled cytosolic delivery following intracellular glutathione-mediated degradation. In vivo, systemic administration of the PSMA-targeted NT-PGC1α mRNA-loaded nanogels resulted in tumor-preferential accumulation and significant suppression of xenograft growth (by 73.4% relative to untreated control), with minimal systemic toxicity. This study presents the first example of a prostate-targeted, disulfide-crosslinked nanogel system for mRNA-mediated metabolic reprogramming in prostate cancer, and highlights its promise as a platform for future RNA-based targeted and precision stimuli-responsive cancer therapies.

Male↗

Fructose-mediated stress signaling in the liver: implications for hepatic insulin resistance.

Organisms reprogram metabolic pathways to adapt to changes in nutrient availability. This requires that nutrient-based stimuli are sensed, signals are transmitted, and highly specific responses are engaged. We propose that in the liver, the mitogen-activated protein kinase, c-jun N-terminal kinase (JNK), links excessive nutrient metabolism with impaired insulin regulation of glucose production. The liver, by virtue of its anatomic position and selective regulatory features, buffers and is highly responsive to changes in nutrient delivery. In particular, sugars such as sucrose and fructose uniquely regulate and are selectively metabolized by the liver. We propose that when hepatic fructose uptake exceeds requirements for glycogen and energy (hepatic sugar excess), the JNK-signaling pathway is engaged as part of the adaptive response.

Animals↗

Integrated salivary proteomic and metabolomic analyses reveal molecular characterization and novel biomarker panels of chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) is a respiratory disorder characterized by chronic inflammation, oxidative stress, and metabolic dysregulation. The lack of convenient and easily-accessible non-invasive diagnostic approaches remains a major clinical challenge. This study applied an integrated saliva-based proteomic and untargeted metabolomic strategy to identify potential biomarkers for COPD classification. Comprehensive multi-omics analyses identified 225 differentially abundant proteins and 60 differentially abundant metabolites between patients with COPD and healthy controls, including 24 biologically relevant endogenous metabolites. Functional enrichment analyses revealed pronounced dysregulation of mitochondrial energy metabolism, redox homeostasis, lipid remodeling, and inflammatory-related pathways in COPD. By integrating salivary proteomic and metabolomic biomarkers, a stepwise feature selection combined with LASSO logistic regression was used to construct diagnostic models, yielding an optimized biomarker panel consisting of 11 proteins and 2 endogenous metabolites. This integrated model achieved excellent diagnostic performance, with an area under the ROC curve of 0.96. Collectively, these findings demonstrate that integrated salivary proteomic and metabolomic profiling provides a robust, non-invasive approach for COPD classification and offers a promising foundation for the development of biosensor-based diagnostic platforms and early disease detection. SIGNIFICANCE: Chronic obstructive pulmonary disease (COPD) remains a major global health burden. Current diagnostic approaches rely largely on spirometry and clinical assessment, which are limited in sensitivity for early-stage disease and unsuitable for large-scale screening. This study employs an integrated saliva-based proteomic and metabolomic strategy to identify non-invasive biomarkers for COPD classification. Our findings reveal coordinated dysregulation of mitochondrial energy metabolism, redox homeostasis, and lipid remodeling in COPD, highlighting the interconnected roles of metabolic reprogramming, oxidative stress, and inflammation in disease pathophysiology. Notably, a robust diagnostic panel comprising 11 proteins and 2 endogenous metabolites was established, achieving excellent classification performance (AUC of 0.96). To our knowledge, the integrated application of salivary proteomics and metabolomics for COPD diagnosis remains largely unexplored, underscoring the significance and translational potential of our findings.

Humans↗

A rare germline TXNIP missense mutation may contribute to the genesis of familial ovarian mature teratoma in human.

Ovarian mature teratoma (OT) is a common ovarian germ cell tumor, and its early onset, multifocality, recurrence and familial aggregation suggest that genetic susceptibility contributes to a subset of cases. Whole-exome sequencing was used to identify candidate susceptibility variants in a family with recurrent and multifocal OT. A rare heterozygous germline TXNIP variant, NM_006472.6:c.1049C > T (p.Pro350Leu), was identified and confirmed by Sanger sequencing. p.Pro350Leu TXNIP showed lower steady-state abundance, faster cycloheximide-chase decay, and greater K48-linked polyubiquitination than wild-type TXNIP. Familial OT specimens also showed weaker TXNIP staining and stronger GLUT1 staining than sporadic OT specimens. TXNIP depletion increased plasma-membrane GLUT1, glucose uptake, lactate production and hyperactivated the PI3K/mTOR pathway, and familial tissues reproduced this PI3K/mTOR-dominant state. To our knowledge, this is the first genomic and functional investigation of a germline susceptibility mechanism for human familial ovarian mature teratoma. These findings establish TXNIP as the first functional candidate susceptibility gene for this phenotype and connect inherited susceptibility to ubiquitin-dependent protein turnover, GLUT1-driven metabolic reprogramming, and PI3K/mTOR-dominant follicular signaling.

Missense mutation↗

Omics in optic neuropathies: From molecular landscapes to personalized therapeutics.

Optic neuropathies comprise a heterogeneous group of disorders involving transient or permanent injury to retinal ganglion cells (RGCs) and their axons. Clinically, these neurodegenerative conditions manifest as dyschromatopsia, decreased visual acuity, and visual field defects, and in severe cases may ultimately lead to blindness and disability. The marked heterogeneity across disease subtypes, incompletely understood etiologies, and complex pathogenic mechanisms pose substantial challenges to precise diagnosis and effective treatment. Recent advances in omics technologies - including genomics, transcriptomics, proteomics, metabolomics, lipidomics, single-cell and spatial sequencing, and integrative multi-omics approaches - have ushered optic nerve degenerative disease research into an era of high-resolution comprehensive investigation. In this review, we summarize representative applications of omics approaches to elucidate genetic alterations, signaling dysregulation, metabolic reprogramming, and immune responses in optic neuropathies. We further discuss the emerging potential of multi-omics in identifying early diagnostic biomarkers and informing individualized therapeutic strategies. Finally, we provide a forward-looking perspective on the future trajectory of omics technologies and their prospects in both fundamental research and clinical translation, with the overarching aim of accelerating the bench-to-bedside transition in this critical eye disease field.

biomarkers↗

Ovarian aging and systemic health: Mechanisms and emerging intervention strategies.

Ovarian aging may contribute to systemic aging via the ovarian-systemic axis. This review outlines intrinsic ovarian cellular defects such as genomic instability, epigenetic shifts, and mitochondrial and proteostasis damage, which may trigger senescence-associated secretory phenotype (SASP)-related inflammaging, fibrosis, and distal pro-aging signals. Ovarian-derived endocrine disruption, especially estrogen decline, broadly affects bodily physiology. We summarize emerging multimodal interventions, including senolytics, metabolic reprogramming, regenerative medicine, and systemic approaches, and we discuss their dual potential to preserve fertility and intercept ovarian contributions to systemic aging. Ovarian aging is possibly associated with female age-related multimorbidity. Ovary-targeted prevention may extend healthspan, as assessed by combined reproductive and systemic clinical evaluations.

Humans↗

Integration of single-cell transcriptomics and genomic mutation analysis identifies an immunotherapy-resistant tumor subcluster and validates ARNTL2 as a malignant driver in lung adenocarcinoma.

BACKGROUND: Immunotherapy resistance in lung adenocarcinoma (LUAD) remains a critical clinical challenge, and the mechanisms underlying resistance-associated intratumoral heterogeneity are poorly characterized. METHODS: We performed single-cell RNA sequencing of LUAD patients receiving neoadjuvant immunotherapy (responders vs. non-responders), integrating inferCNV, GSVA, and differential expression analyses. Cluster-specific genes were validated across seven independent cohorts (TCGA-LUAD, GSE13213, GSE26939, GSE29016, GSE30219, GSE31210, GSE42127). A multi-algorithm machine learning framework was used to construct a prognostic model, and the immune microenvironment was characterized using TCIA scoring, seven infiltration algorithms, and ESTIMATE. ARNTL2 function was assessed by CCK-8 and Transwell assays in A549 and H1299 cells. RESULTS: Non-responders showed significant enrichment of epithelial cells, depletion of cytotoxic T/NK cells, and elevated copy number variation burden versus responders (p < 0.0001). A resistance-enriched malignant subcluster (Cluster 2) exhibited hyperproliferative and metabolic reprogramming signatures with upregulated KRT17, S100A2, and CST6, which showed tumor-specific overexpression, adverse prognostic value, and genomic amplification across cohorts. CoxBoost combined with survivalSVM achieved optimal predictive performance (C-index = 0.686), yielding robust risk stratification (HR: 2.54-10.51, all p < 0.05). Low-risk patients showed greater immune infiltration and higher TCIA immunophenoscores. ARNTL2 was an independent prognostic factor (HR: 2.07-4.64) strongly correlated with risk score (r = 0.69), and its knockdown suppressed proliferation and invasion in both LUAD cell lines (all p < 0.05). CONCLUSION: This study identifies a resistance-associated malignant subcluster in LUAD, constructs a validated CoxBoost + survivalSVM prognostic model with robust immune stratification, and establishes ARNTL2 as a core oncogenic driver and therapeutic target.

ARNTL2↗

Starvation and osmotic stress induced multiresistances. Influence of extracellular compounds.

Growth restriction due to stasis and/or hyperosmolarity is a common situation encountered by microorganisms in nature. Therefore, they have developed defence systems allowing them to withstand these periods. Bacteria respond to these conditions by a metabolic reprogramming which leads to a cellular state of enhanced resistance. This communication reviews recent advances in knowledge of the molecular basis of this phenomenon in different bacteria.

Adaptation, Physiological↗

Cell polarization, a crucial process in fungal defence.

Plant cells responding to fungal attack undergo large morphological alterations, along with rapid and extensive metabolic reprogramming. Cytological analysis of single infected plant cells revealed a large complexity of interdependent, rapid and dynamic changes of a multitude of cellular components. Among these changes are major rearrangements of the cytoskeleton, translocation of cytoplasm and of the cell nucleus to the fungal penetration site, and local apposition of barrier material around this site, which results in massive cell-wall reinforcement. If this first line of defence is overcome by the pathogen, in many cases, it is followed by hypersensitive plant cell death, which stops growth of the penetrating fungus and finally leads to its death. The speed and magnitude of the initial defence response appear to be crucial to plant disease resistance.

Cell Polarity↗

The metabolic and anatomical complexity of root microhabitats modulate their interaction with the microbiota.

Plant roots constantly communicate with their microbiota, adapting their anatomy to facilitate microbial colonisation under abiotic stresses. Microbes, in turn, can reshape root anatomy once they establish. However, the mechanisms that coordinate this interplay remain largely unknown. Working with the aquatic plant family Lemnaceae, we reveal that the inherent complexity of root anatomy determines root plasticity in response to microbial colonisation. This microbiota-driven anatomical plasticity enhances plant survival in nutrient-competitive environments. By combining synthetic root models with real roots, we also find that anatomical plasticity is associated with metabolic reprogramming during microbial establishment. Moreover, we identify a plant metabolite, N6,N6,N6-Trimethyl-L-lysine, that regulates anatomical plasticity in response to microbial colonisation. Our work generalizes the importance of microhabitat complexity for microbiome recruitment under challenging environmental conditions.

Plant Roots↗

Spatially guided in vivo single-cell functional genomics of postnatal heart.

Understanding how spatial organization and cell-cell interactions shape gene regulatory programs is central to decoding tissue development and function. The transition at birth, marked by increased circulatory demands and rapid tissue growth, requires precise spatiotemporal coordination of cardiac maturation. In this study, we generated a high-resolution spatial and temporal atlas of the postnatal mouse heart by integrating single-nucleus RNA sequencing with image-based spatial transcriptomics. This framework revealed dynamic cellular interactions, niche-specific signaling and transcriptional programs guiding cardiomyocyte maturation. To functionally test prioritized regulators in vivo and at scale, we developed PIP-seq (probe-based indel-detectable Perturb-seq), a high-throughput platform that detects single guide RNA identity, infers gene editing and profiles transcription from fixed nuclei. Applying PIP-seq to the developing postnatal heart, we identified 21 previously uncharacterized regulators of cardiomyocyte maturation, including genes essential for sarcomere assembly, metabolic reprogramming and electrophysiological transitions. Together, our findings define how microenvironmental signals and intrinsic gene programs cooperate to guide heart maturation and establish a broadly applicable framework for functional genomics in complex tissues.

Animals↗

Mitochondria in cancer.

Prominent features of cancer cells include metabolic imbalances and enhanced resistance to mitochondrial apoptosis. The fact that tumors rely heavily on glycolysis to meet their metabolic demands has been recognized since the beginning of the twentieth century, yet a complete elucidation of the so-called Warburg effect has not been achieved. Several mechanisms have been proposed to explain this phenomenon, including the upregulation of rate-limiting steps of glycolysis, the accumulation of mutations in the mitochondrial genome, the hypoxia-induced switch from mitochondrial respiration to glycolysis or the metabolic reprogramming resulting from the loss-of-function of enzymes like fumarate and succinate dehydrogenases. How aerobic glycolysis and apoptosis resistance are linked remains to be elucidated. On the one hand, these alterations may be acquired independently by cancer cells during multistep oncogenesis. On the other hand, the suppression of the intrinsic apoptotic program may be achieved through mechanisms that directly lead to the Warburg phenotype. Cancer-specific mitochondrial alterations and bioenergetics may be taken advantage for the development of two novel classes of antineoplastic agents. A first approach would target glycolysis and/or revert the Warburg phenomenon, whereas a second approach would aim at inducing apoptosis by targeting mitochondrial proteins and membranes. In both instances, encouraging pre-clinical results have been obtained.

Apoptosis↗

Protein S-thiolation targets glycolysis and protein synthesis in response to oxidative stress in the yeast Saccharomyces cerevisiae.

The irreversible oxidation of cysteine residues can be prevented by protein S-thiolation, a process by which protein SH groups form mixed disulphides with low-molecular-mass thiols such as glutathione. We report here the target proteins which are modified in yeast cells in response to H(2)O(2). In particular, a range of glycolytic and related enzymes (Tdh3, Eno2, Adh1, Tpi1, Ald6 and Fba1), as well as translation factors (Tef2, Tef5, Nip1 and Rps5) are identified. The oxidative stress conditions used to induce S-thiolation are shown to inhibit GAPDH (glyceraldehyde-3-phosphate dehydrogenase), enolase and alcohol dehydrogenase activities, whereas they have no effect on aldolase, triose phosphate isomerase or aldehyde dehydrogenase activities. The inhibition of GAPDH, enolase and alcohol dehydrogenase is readily reversible once the oxidant is removed. In addition, we show that peroxide stress has little or no effect on glucose-6-phosphate dehydrogenase or 6-phosphogluconate dehydrogenase, the enzymes that catalyse NADPH production via the pentose phosphate pathway. Thus the inhibition of glycolytic flux is proposed to result in glucose equivalents entering the pentose phosphate pathway for the generation of NADPH. Radiolabelling is used to confirm that peroxide stress results in a rapid and reversible inhibition of protein synthesis. Furthermore, we show that glycolytic enzyme activities and protein synthesis are irreversibly inhibited in a mutant that lacks glutathione, and hence cannot modify proteins by S-thiolation. In summary, protein S-thiolation appears to serve an adaptive function during exposure to an oxidative stress by reprogramming metabolism and protecting protein synthesis against irreversible oxidation.

Alcohol Dehydrogenase↗

Crosstalk among stress responses in plants: pathogen defense overrides UV protection through an inversely regulated ACE/ACE type of light-responsive gene promoter unit.

Plants often have to cope with two or more environmental hazards simultaneously. Such coincidences require instantaneous decisions on relative severity and consequential crosstalk between the respective signaling cascades. Among the frequently encountered threats are pathogen infections and UV irradiation, both of which trigger specifically targeted defense responses by means of changes in gene transcription rates. In Petroselinum crispum, pathogen defense has been shown to be associated with extensive metabolic reprogramming, including strong repression of the UV-protective flavonoid biosynthetic pathway. Here we show that one of the involved genes, encoding acyl-CoA oxidase, responds positively to UV light and negatively to a pathogen-derived elicitor through an inversely regulated promoter unit consisting of two almost identical ACGT-containing elements (ACEs). This unit, when either introduced into an unrelated promoter or generated by mutation of a differently composed unit, confers the same type of response pattern on the recipient genes, confirming its general functionality at a convergence site of two largely distinct signaling pathways. Similarly large, rapid, and partly inverse effects of UV light and elicitor were observed for several mRNAs encoding common plant regulatory factors (CPRFs) that exhibit distinct dimerization and DNA-binding properties. This striking coincidence suggests a major role of common plant regulatory factors in mediating the apparent switch in the function of ACGT-containing elements from positive UV light to negative elicitor or pathogen responsiveness.

Base Sequence↗

UV light selectively coinduces supply pathways from primary metabolism and flavonoid secondary product formation in parsley.

The UV light-induced synthesis of UV-protective flavonoids diverts substantial amounts of substrates from primary metabolism into secondary product formation and thus causes major perturbations of the cellular homeostasis. Results from this study show that the mRNAs encoding representative enzymes from various supply pathways are coinduced in UV-irradiated parsley cells (Petroselinum crispum) with two mRNAs of flavonoid glycoside biosynthesis, encoding phenylalanine ammonia-lyase and chalcone synthase. Strong induction was observed for mRNAs encoding glucose 6-phosphate dehydrogenase (carbohydrate metabolism, providing substrates for the shikimate pathway), 3-deoxyarabinoheptulosonate 7-phosphate synthase (shikimate pathway, yielding phenylalanine), and acyl-CoA oxidase (fatty acid degradation, yielding acetyl-CoA), and moderate induction for an mRNA encoding S-adenosyl-homocysteine hydrolase (activated methyl cycle, yielding S-adenosyl-methionine for B-ring methylation). Ten arbitrarily selected mRNAs representing various unrelated metabolic activities remained unaffected. Comparative analysis of acyl-CoA oxidase and chalcone synthase with respect to mRNA expression modes and gene promoter structure and function revealed close similarities. These results indicate a fine-tuned regulatory network integrating those functionally related pathways of primary and secondary metabolism that are specifically required for protective adaptation to UV irradiation. Although the response of parsley cells to UV light is considerably broader than previously assumed, it contrasts greatly with the extensive metabolic reprogramming observed previously in elicitor-treated or fungus-infected cells.

3-Deoxy-7-Phosphoheptulonate Synthase↗

Microdensitometric assay of enzymatic activities in parthenogenetically activated and in vitro fertilized bovine oocytes.

To examine the paternal genome's role in reprogramming metabolic activity in one-cell embryos, we investigated metabolic aspects of bovine oocytes after in vitro maturation and in vitro fertilization and after in vitro parthenogenetic activation with a Ca2+ ionophore and 6-dimethylaminopurine. We assayed succinate dehydrogenase, lactate dehydrogenase and glucose-6-phosphate dehydrogenase activities by microspectrophotometry in immature oocytes and oocytes after maturation, in vitro fertilization and parthenogenetic activation. Succinate dehydrogenase activity significantly increased after in vitro maturation, significantly decreased after Ca2+ ionophore activation and further decreased after 6-dimethylaminopurine treatment. Lactate dehydrogenase activity showed a significant decrease in bovine oocytes after in vitro maturation, remained unchanged in Ca2+ ionophore-treated oocytes and rose significantly after 6-dimethylaminopurine treatment. This activity was dramatically reduced after in vitro fertilization, reaching absorbance levels that were not different from those in mature and Ca2+ ionophore-treated oocytes. Glucose-6-phosphate dehydrogenase activity was significantly lower in matured oocytes as compared to immature oocytes, was significantly higher after artificial activation with Ca2+ ionophore and remained constant after 6-dimethylaminopurine treatment or after in vitro fertilization. We suggest that metabolic changes involved in parthenogenetic activation are similar to those occurring after fertilization.

Adenine↗

Mutational signatures in blood-brain barrier: mechanisms, computational insights, and clinical applications in precision oncology.

The blood - brain barrier (BBB) plays a central role in maintaining central nervous system (CNS) homeostasis, and its disruption is a defining feature of malignant brain tumors such as glioblastoma. Emerging evidence indicates that BBB dysfunction not only alters the tumor microenvironment but also shapes the mutational processes that drive genomic instability in CNS malignancies. This review synthesizes current understanding of the biological mechanisms linking BBB breakdown with distinct mutational signatures, including those arising from oxidative stress, hypoxia-induced replication stress, lipid peroxidation, inflammation, and metabolic reprogramming. Advances in next-generation sequencing, coupled with computational tools such as non-negative matrix factorization, Bayesian modeling, and deep learning, have enabled precise extraction of these signatures and their integration with multi-omics data. Clinically, BBB-associated mutational signatures offer significant promise for therapeutic stratification, prediction of treatment response, and noninvasive monitoring through cerebrospinal fluid - derived circulating tumor DNA. Despite these advances, challenges persist due to limited tissue accessibility, low-yield CSF samples, incomplete mechanistic models, and the lack of CNS-specific analytical frameworks. A deeper understanding of BBB-driven mutational processes, supported by improved computational approaches and integrative datasets, holds potential to advance precision oncology in neuro-oncology.

Humans↗

Dissection of transient oxidative stress response in Saccharomyces cerevisiae by using DNA microarrays.

Yeast cells were grown in glucose-limited chemostat cultures and forced to switch to a new carbon source, the fatty acid oleate. Alterations in gene expression were monitored using DNA microarrays combined with bioinformatics tools, among which was included the recently developed algorithm REDUCE. Immediately after the switch to oleate, a transient and very specific stress response was observed, followed by the up-regulation of genes encoding peroxisomal enzymes required for fatty acid metabolism. The stress response included up-regulation of genes coding for enzymes to keep thioredoxin and glutathione reduced, as well as enzymes required for the detoxification of reactive oxygen species. Among the genes coding for various isoenzymes involved in these processes, only a specific subset was expressed. Not the general stress transcription factors Msn2 and Msn4, but rather the specific factor Yap1p seemed to be the main regulator of the stress response. We ascribe the initiation of the oxidative stress response to a combination of poor redox flux and fatty acid-induced uncoupling of the respiratory chain during the metabolic reprogramming phase.

Active Transport, Cell Nucleus↗