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Major depressive disorder (MDD) is increasingly recognized as a disorder of impaired neuroplasticity and large-scale network dysfunction rather than a simple monoaminergic deficit. Converging evidence indicates that chronic stress and depression erode synaptic connectivity, reduce glial support, and destabilize functional interactions among the default mode, salience, and executive networks. Conventional antidepressants indirectly restore circuit function over weeks, but the advent of rapid-acting glutamatergic agents has opened a new path for targeting these abnormalities directly. In this narrative review, we synthesize molecular, cellular, and connectomic findings to outline a conceptual Connectomic Glutamate Framework of Depression. We first examine how NMDAR blockade and subsequent AMPAR facilitation activate mTORC1 and BDNF signaling, driving synaptogenesis and dendritic spine formation. We then highlight the role of astrocytes and microglia in shaping the "quad-partite synapse" and sustaining network integrity. Neuroimaging studies demonstrate that glutamatergic modulators remodel dysfunctional networks: dampening DMN hyperconnectivity, enhancing fronto-limbic coupling, and normalizing salience-driven switching. Integrating these domains, we propose a hypothesis-generating, two-phase model in which glutamatergic agents destabilize maladaptive attractor states and then reintegrate circuits through structural remodeling. This framework bridges molecules, cells, and networks, offering mechanistic insight into the rapid efficacy of glutamatergic antidepressants and highlighting priorities for clinical translation. Show less

The persistent issues of drug resistance and tumor recurrence remain major challenges in bladder cancer (BCa) treatment, severely impacting patient outcomes. In this study, we found that Triosephosphate isomerase 1 (TPI1) plays a crucial role in influencing gemcitabine (Gem) resistance in BCa. TPI1 is significantly upregulated in Gem-resistant BCa tissues, and the knockdown of TPI1 markedly increases Gem sensitivity and chemotherapy-induced apoptosis both in vivo and in vitro. Meanwhile, the same was validated in Gem-resistant strains. Mechanistically, transcriptome sequencing and transmission electron microscopy, among others, revealed that TPI1 promoted Gem-associated autophagy. Furthermore, mass spectrometry and co-immunoprecipitation assays demonstrated that TPI1 directly binds to the BH3 domain of Beclin-1. This interaction competitively disrupts the binding between Bcl-2 and Beclin-1, thereby relieving Bcl-2-mediated inhibition of Beclin-1. Furthermore, the interaction between TPI1 and Beclin-1 promotes the formation of PIK3C3-C1, which in turn enhances the interaction between PIK3C3-C1 and the ULK1 complex, thereby increasing the phosphorylation of Beclin-1 at Ser15. In addition, TPI1 also enhanced mitochondrial autophagy induced by Gem in BCa cells and tissues. Importantly, a transcription factor, c-Myc, that regulates TPI1 expression was also identified, and dual luciferase and Chromatin immunoprecipitation-quantitative PCR (ChIP-qPCR) analysis showed that c-Myc binds primarily to the promoter region of TPI1. Our results suggest that TPI1 plays an important role in regulating the formation of autophagic complexes, and that promoting autophagy significantly increased Gem resistance in BCa. Show less

Dysregulation of macrophage autophagy plays a critical role in sepsis-induced acute lung injury (ALI); however, its underlying mechanism remains unclear. In this study, we aimed to identify the regulatory pathway involving the PIK3C3-MAPK14 signaling axis that drives ALI progression by controlling autophagy and macrophage polarization. Using machine learning transcriptomic analysis, MAPK14 was identified as a core gene associated with ALI, and multi-omics integration confirmed its upregulated expression in ALI tissues. MAPK14 localization to pro-inflammatory macrophages was determined using single-cell sequencing. Furthermore, we observed a significant positive correlation between MAPK14 and autophagy-related genes. Molecular docking and kinetic simulations revealed high-affinity interactions between PIK3C3 and MAPK14 (ΔG-bind = -127.722 ± 33.269 kJ/mol). In vitro experiments followed by Western Blot(WB) and RT-q polymerase chain reaction (PCR) assays demonstrated that lipopolysaccharide stimulation upregulated MAPK14 expression through downregulation of PIK3C3 expression, resulting in impaired autophagic flux (LC3-II/Ⅰ↓, TOM20↑, P62↑, HSP60↑). Flow cytometry and enzyme-linked immunosorbent assay (ELISA) confirmed a shift toward pro-inflammatory (M1) macrophage polarization. RNA pull-down assay directly captured the PIK3C3-MAPK14 complex, and functional validation showed that PIK3C3 overexpression significantly inhibited MAPK14 protein expression, whereas PIK3C3 knockdown enhanced it. In conclusion, targeting the PIK3C3-MAPK14 axis is a promising therapeutic strategy for ALI. Show less

Epithelial and endothelial barriers are essential for tissue homeostasis, protecting the body from environmental insults while regulating selective transport. The integrity of these barriers relies on dynamic intercellular junctions whose composition and organization are constantly remodeled in response to stress and physiological cues. Autophagy and endocytic trafficking are key intracellular pathways that maintain junctional stability and barrier resilience. BECLIN-1 (BECN1), a central regulator of both pathways, coordinates localized membrane dynamics through its interaction with the class III phosphatidylinositol 3-kinase (PtdIns3K) PIK3C3/VPS34. Recent advances reveal that BECN1's dual role in autophagy and endocytic trafficking is crucial for maintaining barriers in diverse tissues, including the gut, skin, and blood-brain barrier. Conversely, BECN1 dysfunction can compromise junctional integrity, driving inflammatory and degenerative diseases. This review summarizes the emerging evidence linking BECN1 to membrane trafficking, stress adaptation, and immune regulation across barrier tissues, highlighting its potential as a therapeutic target for barrier-associated diseases. Show less

Common variants in the FKBP5 gene have been implicated in recurrence of major depressive disorder (MDD) and response to antidepressant treatment. Although the relationship between FKBP5 and MDD has been revealed through several studies, the detailed molecular mechanisms by which FKBP5 regulates responsiveness to antidepressants have not been fully understood. Here, we aimed to elucidate the molecular mechanisms of FKBP5 in autophagy initiation and its potential role in the antidepressant response. We found that FKBP5 deficiency impaired the initiation of basal and stress-induced autophagy, accompanied by reduced protein levels of the PIK3C3/VPS34 complex, which is essential for autophagy initiation. Mechanistically, we demonstrated that FKBP5 physically binds to the VPS34 complex components, facilitating their assembly and subsequent autophagy initiation. Particularly, our study revealed that FKBP5 mediates antidepressant-induced autophagy by promoting the VPS34 complex assembly. These findings were consistent in neuronal cells, where FKBP5 depletion resulted in decreased autophagy and impaired the VPS34 complex assembly. Understanding the interplay between FKBP5, autophagy, and MDD may provide new insights into more effective treatments for MDD and related disorders. Show less

The KIT/c-KIT proto-oncogene is frequently over-expressed in Merkel cell carcinoma (MCC), an aggressive skin cancer commonly caused by Merkel cell polyomavirus (MCPyV). Here, we demonstrated that truncated MCPyV-encoded large T-antigen (LT) suppressed macroautophagy/autophagy by stabilizing and sequestering KIT in the paranuclear compartment via binding VPS39. KIT engaged with phosphorylated BECN1, thereby enhancing its association with BCL2 while diminishing its interaction with the PIK3C3 complex. This process ultimately resulted in the suppression of autophagy. Depletion of KIT triggered both autophagy and apoptosis, and decreased LT expression. Conversely, blocking autophagy in KIT-depleted cells restored LT levels and rescued apoptosis. Additionally, stimulating autophagy efficiently increased cell death and inhibited tumor growth of MCC xenografts in mice. These insights into the interplay between MCPyV LT and autophagy regulation reveal important mechanisms by which viral oncoproteins are essential for MCC cell viability. Thus, autophagy-inducing agents represent a therapeutic strategy in advanced MCPyV-associated MCC. Show less

NRBF2, a component of autophagy-associated PIK3C3/VPS34-containing phosphatidylinositol 3-kinase complex, plays a crucial role in learning and memory processes, yet its specific impact on memory and the underlying molecular mechanisms remains unclear. Here, we utilized NRBF2 knockout mice to examine its influence on the time course of fear memory. Employing quantitative PCR, Western blot analysis, behavioral tests, and electrophysiology, we investigated the mechanisms through which NRBF2 affects memory processing. We observed an increase in This study offer new insights into the role of NRBF2 and highlight the potential of targeting NRBF2 as a therapeutic strategy for addressing cognitive deficits associated with various disorders. Show less

Ischemic injury induces a partial mesenchymal shift in endothelial cells (ECs), contributing to impaired vascular regeneration. However, the molecular regulators of this transitional state remain poorly defined. To address this, we performed circular RNA profiling of endothelial cells under ischemic-like conditions and identified a marked upregulation of a circular RNA, named circATXN1. Functional studies revealed that circATXN1 knockdown modulates endothelial phenotype and vascular response after ischemia. Functional studies have shown that knockdown of circATXN1 can regulate the endothelial cell phenotype and vascular response after ischemia. Mechanistically, circATXN1 knockdown enhances the demethylase protein ALKBH5 to reduce the RNA methylation level of the key transcription factor SLUG, thereby stabilizing SLUG. In animal models, suppression of circATXN1 enhances angiogenesis and improves recovery following ischemic injury. Here, we show that circATXN1 regulates partial endothelial-to-mesenchymal transition (EndMT) and angiogenesis by controlling SLUG mRNA methylation dynamics, highlighting its potential as a therapeutic target in ischemic disease. Show less

This study aimed to explore the molecular pathological mechanisms of the liver in metabolic disease-susceptible transgenic pigs via multiomics analysis. The triple-transgenic (PNPLA3 The TG2 pigs presented mild metaflammation and insulin resistance (IR) which was similar to WT12 pigs. Compared with the other three groups, the TG12 pigs presented severe hepatocyte ballooning, fat deposition, and portal area fibrosis. The transcriptome data suggested that the TG2 pigs presented upregulated gene expression in the extracellular matrix (ECM). The TG12 pigs presented more severe metaflammation and exhibited imbalanced glycolipid metabolism. Interestingly, genes such as ETNPPL, GABBR2, and BMP8B might be key regulatory targets for liver injury. The metabolome and lipidome suggested that long-chain polyunsaturated fatty acids (LCPUFAs) and phospholipids with corresponding LCPUFAs were remodelled. Importantly, bis(monoacylglycerol) phosphates (BMPs) and sulfatides (SLs) could be the key regulatory metabolites in liver injury. ETNPPL, GABBR2, and BMP8B might be potential therapeutic targets for liver injury. BMPs and SLs might be biomarkers for the diagnosis and treatment of liver diseases. Show less

Identification of drug-repurposing targets with genetic and biological support is an economically and temporally efficient strategy for improving the treatment of diseases. We employed a cross-disciplinary approach to identify potential therapeutics for the prevention of metabolic-dysfunction-associated steatotic liver disease (MASLD) in at-risk individuals by using humans as a model organism. We identified 212 putative candidate genes associated with MASLD by using data from a large multi-ancestry genetic association study, of which 158 (74.5%) were previously unreported. From this set, we identified 57 genes that encode for druggable protein targets and for which the effects of increasing genetically predicted gene expression on MASLD risk align with the function of that drug on the protein target. We then used We then evaluated these potential targets for evidence of efficacy by using Mendelian randomization, pathway analysis, and protein structural modeling. Through these approaches, we present compelling evidence to suggest that the activation of FADS1 by icosapent ethyl, as well as S1PR2 by fingolimod, could be a promising therapeutic strategy for MASLD prevention. Show less

With the sharp increase in the incidence of papillary thyroid carcinoma (PTC), the disease-specific survival rate has not improved significantly. Cholesterol metabolism plays a crucial role in tumor proliferation, regulation of tumor immune escape, and tumor drug resistance. However, there are few studies on the role of cholesterol metabolism in the occurrence and development of thyroid cancer (THCA). This study aimed to investigate the predictive value of cholesterol metabolism-related genes (CMRGs) in THCA and the relationship between immune invasion and drug sensitivity. Cholesterol metabolism-related genes we identified from the molecular signatures database, and univariate Cox regression and least absolute shrinkage and selection operator(LASSO) were used to construct a predictive model of cholesterol metabolism-related genes based on the TCGA-THCA dataset. The TCGA dataset was randomly divided into a training group and a validation group to verify the model's predictive value and independent prognostic effect. We then constructed a nomogram and performed enrichment analysis, immune cell infiltration, and drug sensitivity analysis. Finally, TCGA-THCA and GSE33630 datasets were used to detect the expression of signature genes, which was further verified by the HPA database. Six CMRGs (FADS1, NPC2, HSD17B7, ACSL4, APOE, HMGCS2) we identified by univariate Cox and LASSO regression to construct a prognostic model for 155 genes related to cholesterol metabolism. Their prognostic value was confirmed in the validation set, and a highly accurate nomogram was constructed combined with clinical features. We found that the mortality rate of high-risk patients increased by 11.41 times, and the infiltration of immune cells in the high-risk group was significantly reduced. Moreover, through drug sensitivity analysis, we obtained sensitive drugs for different risk groups. The GSE33630 dataset verified the expression of six CMRGs, and the HPA database verified the protein expression of the NPC2 gene. Cholesterol metabolism-related features are a promising biomarker for predicting THCA prognosis and can potentially guide personalized immunization and targeted therapy. Show less

Gallstone disease (GD) is a common gastrointestinal disorder with a significant genetic component. Despite known risk factors, the genetic basis of GD remains incompletely understood. We aimed to identify novel genetic loci associated with GD, explore their clinical implications and investigate their therapeutic potential. We conducted a genome-wide association study from the UK Biobank followed by a meta-analysis, integrating summary statistics from the FinnGen R11, with further replication from Biobank Japan. Using systematic bioinformatic approaches, we performed gene prioritisation, colocalisation analysis, transcriptome-wide association study, Mendelian randomisations, cross-trait genetic correlations, phenome-wide association study, clinical investigations and gene-environment interactions by leveraging data from the FinnGen, Genotype-Tissue Expression project and Liver Cell Atlas single-cell transcriptomics data set. Our study highlighted novel susceptibility loci near candidate genes (ie, This study provides new insights into the genetic basis of GD and highlights the role of hepatocytes in GD pathogenesis. These findings have implications for the personalised prevention strategies and new therapeutic interventions in individuals predisposed to GD. Show less

This study aimed to infer a causal gene network associated with bone metastasis in lung cancer and to validate its reliability through experimental gene expression analysis. Using DNA microarray data from the Gene Expression Omnibus, we analyzed samples from primary lung cancer and those with bone metastasis. Commonly expressed genes in both groups were identified, and a causal network was inferred using Bayesian network inference with Java Objects based on the Bayesian Dirichlet score. To evaluate the network, we predicted the expression changes of downstream genes following knockdown of a key upstream gene and compared these predictions with mRNA expression levels in fatty acid desaturase 1 (FADS1)-knockdown lung cancer cells. The genes FADS1, cardiotrophin-like cytokine factor 1 (CLCF1), chromosome 4 open reading frame 48, sushi, nidogen and EGF like domains 1, FK506-binding protein 15, and coenzyme Q10A (COQ10A) were identified as directly associated with lung cancer bone metastasis. Among them, FADS1 appeared to have a regulatory role, influencing downstream targets. Notably, CLCF1 and COQ10A showed significantly increased expression in FADS1-knockdown cells, consistent with the network's predictions. These findings suggest that Bayesian network analysis is a reliable machine learning approach for uncovering causal gene relationships in cancer metastasis. Furthermore, FADS1 may serve as a potential therapeutic target in lung cancer bone metastasis. The validity of this network was supported by in vitro experiments using a lung cancer cell line. Show less

Cardiovascular diseases are one of the major health threats to humans. Researchers have proposed numerous deep learning-based methods for the automatic analysis of electrocardiogram (ECG), achieving encouraging results. However, many existing methods are limited to task-specific model training and require retraining or full fine-tuning when confronted with a new ECG classification task, thus lacking flexibility in clinical applications. In this study, we propose a Task-Adaptive Classification method for ECG (TAC-ECG) based on cross-modal contrastive learning and low-rank convolutional adapters. TAC-ECG comprises two main phases. In the first phase, inspired by the Contrastive Language-Image Pre-training, we design the Contrastive ECG-Text Pre-training (CETP) to pre-train a robust ECG encoder. In the second phase, the pre-trained ECG encoder is frozen and integrated with a lightweight plug-in, the Low-Rank Convolutional Adapter (LRC-Adapter), forming an extensible ECG classification model. The frozen encoder extracts more discriminative features from the ECG signal, while the LRC-Adapter enables task-specific adaptation. For diverse ECG classification tasks, TAC-ECG only requires training the LRC-Adapter. This mechanism enables TAC-ECG to efficiently perform different ECG classification tasks, significantly reducing resource consumption and deployment costs in multi-tasking scenarios compared to traditional fully fine-tuned methods. We conducted extensive experiments using six different network architectures as ECG encoders. Specifically, we performed ECG classification experiments on four datasets: CPSC2018, Cinc2017, PTB-XL, and Chapman, targeting 9-category, 3-category, 5-category, and 4-category classifications respectively. The TAC-ECG achieved highly competitive results using only approximately 3% of the trainable parameters and approximately 25% of the total parameters compared to the fully fine-tuned method. These results demonstrates the effectiveness and practicality of the TAC-ECG method. The TAC-ECG offers a flexible and efficient method for ECG classification, enabling rapid adaptation to diverse tasks and enhancing clinical diagnostic practicality. Show less

Obesity is a complex metabolic disease associated with several health complications, including insulin resistance, hypertension, and type 2 diabetes mellitus. Growing evidence indicates that fatty acid profiles and the activity of desaturating enzymes-stearoyl-CoA desaturase-1 (SCD1), delta-5 desaturase (D5D), and delta-6 desaturase (D6D)-are important factors in the pathophysiology of obesity. This review aims to summarise the current understanding of the alterations in lipid metabolism and desaturase activity in obesity, its complications, and potential therapeutic interventions. A literature review was performed using the PubMed, Scopus, and Web of Science databases. Systematic reviews, meta-analyses, clinical studies, cross-sectional studies, and animal studies that assessed fatty acid profiles and desaturase activity in the context of obesity were included. Obesity is associated with significant changes in the profiles of saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), and polyunsaturated fatty acids (PUFAs), as well as altered desaturase activity. Increased activity of SCD1 and D6D and decreased activity of D5D are observed even in childhood and correlate with metabolic risk markers. Genetic variation in genes encoding fatty acid desaturases, such as fatty acid desaturase 1 ( Fatty acid profile and desaturase activity are significantly altered in obesity and represent potential biomarkers and therapeutic targets for its treatment and the prevention of related complications. Their assessment may contribute to a more personalised approach to treating obesity and associated metabolic diseases. Show less

Imbalance in fatty acid (FA) metabolism is a critical factor in the development of type 2 diabetes (T2D). This study examined fatty acid composition and desaturase activities in the liver and spinal cord of male Zucker diabetic fatty (ZDF) rats, a genetic model of T2D. Heterozygous lean ZDF fa/+ animals served as controls, while homozygous obese ZDF fa/fa animals represented the diabetic group. FA profiles were determined by gas chromatography, and the activities of Δ5-desaturase (FADS1), Δ6-desaturase (FADS2), Δ9-desaturase (SCD1), and elongase of very long-chain fatty acids (ELOVL) were estimated. T2D rats displayed significantly elevated levels of monounsaturated fatty acids (MUFAs) and increased SCD1 activity in both the liver and spinal cord. In contrast, polyunsaturated fatty acids (PUFAs), particularly arachidonic acid (AA, C20:4 n-6), were reduced. Since AA plays a fundamental role in neuronal membrane structure and signaling pathways, these alterations have particular relevance to nervous system function. Tissue-specific alterations further suggested impaired FADS1 activity in the liver and reduced elongase/FADS2 activity in the spinal cord. These findings suggest that desaturase imbalance and FA remodeling in the spinal cord might represent characteristic features of T2D and that altered FA metabolism within the nervous system may potentially serve as an early indicator of neuropathy or a predictor of increased susceptibility to diabetes-related complications. Show less

The intrinsic heterogeneity and invasiveness of diffuse gliomas complicate accurate prognosis. Existing approaches are largely constrained by subtype specificity or limited analytical dimensions. To address this gap, a multi- dimension-based prognostic framework encompassing the full glioma spectrum was developed, accompanied by an analysis of the associated immune microenvironment. A total of 3,323 glioma samples from the SEER (n = 2181), CGGA (n = 807), and TCGA (n = 335) datasets were integrated. Differentially expressed genes were screened using the limma package, and a Lasso-Cox-based prognostic signature (Glioma-GDPM) was established. Clinical variables such as age, grade, and IDH mutation status were harmonized through propensity score matching to construct a multi-omics prognostic model (Glioma-GCDPM). GSEA, CIBERSORT-based immune infiltration analysis, and TIDE scoring were used to investigate the biological characteristics of different risk subgroups. Eleven key prognostic genes (such as PRAMEF2 and FADS1) and four clinical factors (age, tumor grade, IDH mutation, and 1p/19q codeletion) were identified. Glioma-GCDPM demonstrated favorable predictive ability in both the internal test cohort (AUC 0.81-0.86) and external validation sets (AUC 0.59-0.83). High-risk tumors exhibited greater invasiveness, with significant enrichment in cell cycle and proliferation-associated pathways. Additionally, a suppressed immune microenvironment was observed, reflected by elevated M2 macrophage infiltration and increased T cell dysfunction scores. The multi-omics model established in this study enables precise stratification of prognostic risk in diffuse glioma patients and reveals immunosuppressive features in high-risk individuals, providing a new basis for personalized treatment strategies. Show less

Gastrointestinal (GI) cancers exhibit aberrant lipid metabolism, yet the causal mechanisms remain elusive. Here, we integrated Mendelian randomization (MR) and multi-omics data to dissect metabolic drivers of 20 GI diseases. Focusing on colorectal (CC) and esophageal cancer (EC), we identified five metabolites (e.g., 1,2-di-palmitoyl-sn-glycero-3-phosphocholine) and arachidonic acid ethyl ester as causal drivers. Summary-data-based MR and colocalization analysis (PP.H4 > 0.75) revealed FADS1 as a master regulator of these metabolites, with genetic variants exhibiting tissue-specific lipidomic effects. Functional validation using FADS1-knockout cell lines and mouse models demonstrated that FADS1 inhibition suppresses tumor cell proliferation, migration, and invasion while promoting apoptosis. In vivo, FADS1 deletion reduced chemically induced CC/EC tumor burden by 62-75%, accompanied by decreased Ki-67/MMP-9 expression and inflammatory infiltration. Mechanistically, FADS1 ablation disrupted lipid metabolism (reduced linoleic acid and arachidonic acid) and attenuated PI3K/AKT and MAPK signaling. Multi-omics integration further corroborated FADS1-mediated epigenetic regulation (e.g., mQTL-driven DNA methylation). This study establishes FADS1 as a pivotal orchestrator of GI carcinogenesis via metabolic reprogramming and signaling dysregulation, offering a compelling therapeutic target for precision oncology in CC and EC. Regulatory mechanisms of FADS1 in CC and EC. Show less

Cell volume, a key determinant of physiology, is maintained by cell size homeostasis. Large deviations from typical size are often harmful, yet cell sizes have diverged drastically in evolution. How does size homeostasis evolve to support such diversity without impairing physiology? To address this, we used experimental evolution to select progressively smaller Show less

Gastric adenocarcinoma with enteroblastic differentiation (GAED) is a rare entity with worse prognosis compared to conventional gastric adenocarcinomas. Its histological characteristics are fetal gut-like architecture and tumor cells with cytoplasmic clearing, as well as positive immunohistochemical reaction to at least one of the enteroblastic markers. Hereby, we present a case of GAED with neuroendocrine marker positivity, with whole-exome sequencing (WES), and an updated literature review. A 68-year-old woman presented at the general practitioner with abdominal pain. Abdominal ultrasound described gastric wall thickening raising suspicion of gastric cancer; thus, gastroscopy was performed, and biopsy samples were taken, which confirmed malignancy. Neoadjuvant systemic chemotherapy was initiated, and total gastrectomy was performed. Microscopically, pleomorphic polygonal cells were visible with clear cytoplasm and high-grade cellular atypia. Alcian blue and PAS stains demonstrated positivity for acidic and neutral mucins. P53 IHC was negative, indicative of null-phenotype, while Syntaxin-1 and Chromogranin showed focal positivity. SALL4 and Glypican 3 were positive; however, AFP displayed only minimal, uncertain positivity. The Ki67 labeling index was 70%. Due to the morphological and immunohistochemical characteristics, the tumor was concluded as GAED with neuroendocrine marker positivity. WES was carried out revealing 4 pathogenic, including TP53, KLHL7, RAPSN, and ACTA1, and 3 likely pathogenic mutations, encompassing PNKP, HNF1A, and ADNP. GAED is a rare subtype of gastric adenocarcinomas, representing 0.3-5.4% of all cases, and has an unclarified etiology. Our WES results identified new pathogenic and likely pathogenic mutations. From a differential diagnostic point of view, hepatoid adenocarcinoma and the possibility of metastatic origin have to be excluded. Show less

Pediatric diffuse high-grade gliomas (pHGGs) are heterogeneous and infiltrative tumors with poor prognosis. Recent molecular characterization of pHGGs has revealed an altered epigenetic profile with aberrant post-translational modifications and increased histone 3 lysine 9 trimethylation (H3K9) to be implicated in their pathology. Herein, we investigate the expression and biological role of the methyltransferase suppressor of variegation 3-9 homolog 1 (SUV39H1) in regulating key cancer hallmarks, including cell proliferation, motility, and epithelial-mesenchymal transition (EMT) gene regulation of pHGG. Bioinformatic analysis of SUV39H1 mRNA levels was performed in a public database of pediatric gliomas with respective controls. SUV39H1 protein expression was further investigated in a cohort of 24 pHGG tissues and controls by immunohistochemistry and western immunoblotting, followed by correlation analysis with patients' clinicopathological features. Gene silencing of SUV39H1 was performed in patient-derived pHGG cell lines (SJ-GBM2 and CHLA-200) to investigate their functional role in cell proliferation, migration, cell adhesion, and EMT markers. SUV39H1 mRNA was found enriched in pHGG tissues compared to normal brain, with pathway analyses (GO and KEGG) revealing a significant correlation with cell adhesion and focal adhesion pathways in SUV39H1-high pHGG. Immunohistochemical analysis of the pHGG cohort detected significantly increased SUV39H1 protein expression in pHGG tissues, followed by elevated H3K9me3 expression compared to normal brain tissues. Moreover, SUV39H1 and H3K9me3 levels were higher in pHGG with H3K27M mutation compared to H3-WT tumors and correlated with worst patients' survival. Gene silencing of SUV39H1 in SJ-GBM2 and CHLA-200 cells induced a significant decrease in cell viability and cell migration, followed by reduced expression of vimentin, β-catenin, and TCF4 protein levels. Furthermore, SUV39H1 silencing reduced the mRNA levels of EMT marker genes CDH2, SNAI1, and MARCKS. Our findings demonstrate that SUV39H1 regulates cell proliferation and adhesion in pHGG, contributing to epithelial-mesenchymal transition through regulation of β-catenin/TCF4 axis, presenting a promising therapeutic target to be investigated further. KEY MESSAGES: SUV39H1 gene expression is enriched in pHGG compared to normal brain. SUV39H1 expression is increased in pHGG tissues along with H3K9me3 expression. Gene silencing of SUV39H1 reduces cell viability and migration. SUV39H1 silencing decreased expression of vimentin, β-catenin and TCF4. SUV39H1 silencing reduced EMT marker genes CDH2, SNAI1 and MARCKS. SUV39H1 has an oncogenic role in pHGG and presents a promising therapeutic target. Show less

In the non-obese diabetic (NOD) mouse model of autoimmune diabetes, interleukin (IL)-27 stimulates interferon γ (IFNγ) production by CD4 and CD8 T cells and is essential for disease development. Here, we tested the role of IL-27 in cellular communication. Single-cell RNA sequencing and T cell adoptive transfer showed that IL-27 intrinsically controlled the differentiation of islet-infiltrating CD4 T cells by driving them toward an IL-21 Show less

Cervical cancer (CC) remains a major global health challenge, with radiotherapy resistance (RR) representing a critical impediment to treatment efficacy. This study investigated the underlying mechanisms of replication stress (RS) in RR and identified potential therapeutic targets for CC. A comprehensive bioinformatics workflow was applied to analyze the expression profiles and prognostic significance of RS-related differentially expressed genes (RSRDs) in patients with RR. The prognostic utility of an RS-based risk score model was subsequently evaluated in the context of the tumor microenvironment, somatic mutation landscape, etc. The clinical relevance of the identified hub RSRDs was validated through immunohistochemistry, univariate and multivariate Cox regression analyses, and a prognostic nomogram using data from a real-world patient cohort. Functional assays conducted both in vitro and in vivo further confirmed the role of the key RSRD. Thus, enrichment analysis of the 124 common differentially expressed genes showed RS-related biological processes were enriched. The RS risk score model, constructed using 2 hub RSRDs (AXIN1 and C-terminal binding protein 1) identified through Least Absolute Shrinkage and Selection Operator (LASSO) regression, showed strong diagnostic and prognostic performance. Enrichment analysis showed the risk score model influenced CC prognosis by tumor microenvironment and mutation, etc. Immunohistochemistry analysis of tissue microarrays explored a significant downregulation of AXIN1 in RR samples. AXIN1 was also an independent prognosis biomarker for CC patients, particularly among patients receiving radiotherapy. Knockdown of AXIN1 significantly inhibited the radiosensitivity in CC cell lines, and in vivo experiments showed AXIN1 knockdown led to increased tumor volume following radiotherapy. Molecular docking analysis illustrated JQ1 may promote AXIN1 expression. This study is the first to identify AXIN1 as a replication stress-associated gene with prognostic value in CC, specifically in the context of radiotherapy. These findings may support personalized treatment strategies and provide a foundation for future investigations into RS-targeted therapies in CC. Show less

Rab GTPases organize intracellular trafficking and provide identity to organelles. Their spatiotemporal activation by guanine nucleotide exchange factors (GEFs) is tightly controlled to ensure fidelity. Our structural and functional comparison of the tri-longin domain RabGEFs Mon1-Ccz1 and Fuzzy-Inturned reveals the molecular basis for their target specificity. Both complexes rely on a conserved sequence motif of their substrate GTPases for the catalytic mechanism, while secondary interactions allow discrimination between targets. We also find that dimeric Mon1-Ccz1 from fungi and the metazoan homologs with the additional third subunit RMC1/Bulli bind membranes through electrostatic interactions via distinct interfaces. Protein-lipid interaction studies and functional characterization in flies reveal an essential function of RMC1/Bulli as mediator of GEF complex membrane recruitment. In the case of Fuzzy-Inturned, reconstitution experiments demonstrate that the BAR (Bin-Amphiphysin-Rvs) domain protein CiBAR1 can support membrane recruitment of the GEF. Collectively, our study demonstrates the molecular basis for the adaptation of TLD-RabGEFs to different cellular functions. Show less

This study aimed to investigate the role of SIRT4 in retinal protection, specifically its ability to mitigate excitotoxic damage to Müller glial cells through the regulation of mitochondrial dynamics and glutamate transporters (GLASTs). A model of retinal excitatory neurotoxicity was established in mice. Proteins related to mitochondrial dynamics, GLAST, and SIRT4 were analyzed on days 0, 1, 3, and 5 following toxic injury. The influence of SIRT4 on mitochondrial dynamics-related proteins and GLAST was examined by inducing SIRT4 overexpression through intraperitoneal injection of resveratrol or by using SIRT4 knockout (KO) mice. Additionally, the effects of upregulating and downregulating SIRT4 expression in rat Müller glial cell lines (rMC-1) were explored via lentiviral vector transfection to assess changes in mitochondrial morphology and GLAST expression. After excitotoxic injury to the mouse retina, the retinal thickness and structure were disrupted, the number of retinal ganglion cells (RGCs) decreased, and Müller glial cells were activated by day 1. The levels of OPA1, GLAST, and SIRT4 proteins peaked on the first day after injury and then gradually decreased, indicating a synchronized dynamic trend. The upregulation of SIRT4 expression promoted OPA1 and GLAST protein expression, thereby alleviating retinal excitotoxic injury. Furthermore, the upregulation of SIRT4 expression promoted mitochondrial fusion and increased GLAST expression in rMC-1 cells, reducing cellular excitotoxic damage. Conversely, downregulation of SIRT4 had the opposite effect. SIRT4 plays a significant role in mitigating excitotoxic damage in the retina, modulating Müller glial cell injury by regulating mitochondrial dynamics and glutamate transporter expression, ultimately influencing retinal health. Show less

Obesity is turning into a more critical problem for public health. Vitamin D The study aims to examine the influence of VD Firstly, a small sample population study was conducted to compare the disparities in serum 25(OH)D A correlation was identified between serum 25(OH)D The study shows that VD Show less

Autoimmunity towards podocyte antigens causes membranous nephropathy (MN). Numerous MN target antigens (MNTAgs) have been reported, including PLA2R1, THSD7A, NTNG1, TGFBR3, HTRA1, NDNF, SEMA3B, FAT1, EXT1, CNTN1, NELL1, PCDH7, EXT2, PCSK6, and NCAM1, but their podocyte expression has not been thoroughly studied. We screened CZ CELLxGene single-cell RNA (scRNA) sequence datasets for those of adult, fetal, and mouse kidneys and analyzed the above MNTAgs' expression. In adult kidneys, most MNTAgs are present in podocytes, except PCSK6 and NCAM1. PLA2R1 is expressed significantly more than other MNTAgs in podocytes and is a major podocyte marker, consistent with PLA2R1 as the dominant MNTAg. Additionally, PLA2R1 is a top-upregulated gene in the podocytes of chronic kidney disease, acute kidney injury, and diabetic nephropathy, indicating its general role in causing podocyte injury. PLA2R1, NTNG1, HTRA1, and NDNF display podocyte-enriched expression along with elevated chromatin accessibility in podocytes, suggesting transcription initiation contributing to their preference expression in podocytes. In the fetal kidney, most MNTAgs are expressed in podocytes. While PLA2R1 is weakly present in podocytes, SEMA3B is abundantly expressed in immature and mature podocytes, supporting SEMA3B as a childhood MNTAg. In mouse kidneys, Thsd7a is the only MNTAg with a prominent level and podocyte-specific expression. Show less