Search Results (18,893)

Hepatocellular carcinoma (HCC) is one of the most prevalent cancers worldwide and exhibits considerable biological heterogeneity in both molecular and clinical characteristics. The diverse molecular alterations and clinical manifestations of HCC indicate substantial heterogeneity across patient subgroups. This study aimed to identify novel therapeutic targets and predictive biomarkers associated with HCC using an integrative bioinformatics approach. High-throughput genomic datasets were obtained from the UCSC Xena browser to retrieve mRNA HTSeq-count data from the TCGA-HCC cohort. Gene co-expression network (GCN), protein–protein interaction network (PPIN), and enrichment analyses were performed to identify key dysregulated genes and their biological significance. Integrated network analyses identified three dysregulated hub genes, namely CXCR2, TLR2, and TLR4. Genomic alterations in these genes were further evaluated across tumor samples in the TCGA-HCC cohort. Kaplan–Meier (KM) survival analysis demonstrated that lower CXCR2 mRNA expression was significantly associated with poorer overall survival (OS) and recurrence-free survival (RFS). Furthermore, TIMER and UALCAN analyses revealed significant associations between CXCR2 expression and tumor purity, as well as immune cell infiltration levels, including T cells, macrophages, dendritic cells (DCs), and neutrophils. These findings suggest that CXCR2 is significantly associated with the immune microenvironment of HCC and represents a potential prognostic biomarker whose biological role warrants further mechanistic investigation. Full article

Full-field stimulus threshold (FST) testing is a psychophysical method used to assess global retinal function, particularly in patients with severe visual impairment where conventional perimetry is unreliable. This review explores the development, clinical protocols, and applications of FST in retinal diseases, with a focus on its role in inherited retinal dystrophies (IRDs) such as Leber congenital amaurosis (LCA) and retinitis pigmentosa (RP). FST has emerged as a key functional outcome measure in clinical trials, particularly in evaluating novel gene therapies for IRDs. Its fixation-independent nature and ability to detect residual visual function make it valuable for assessing disease progression and treatment efficacy. However, challenges remain regarding standardization and test variability. Ongoing efforts seek to standardize and optimize FST protocols and establish it as a standardized metric in both clinical and research settings. Full article

Philadelphia-negative (Ph-negative) myeloproliferative neoplasms (MPNs) include polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF), which are clonal hematopoietic disorders caused by somatic gene mutations in the JAK2, CALR, or MPL genes. Mutations activate the JAK–STAT pathway and disrupt NF-κB signaling, leading to a chronic inflammatory state caused by pro-inflammatory cytokines and reactive oxygen species (ROS). This altered microenvironment causes serious clinical features of the disease, such as bone marrow fibrosis, splenomegaly, vascular niche remodeling, and a greater probability of thrombosis or secondary leukemic transformation. Concurrently, MPNs cause both severe immune dysregulation and tumor evasion, as evidenced by progressive lymphopenia, T and B cell exhaustion, Natural Killer cell maturation arrest, and the accumulation of myeloid-derived suppressor cells. Although FDA-approved JAK1/JAK2 inhibitors ruxolitinib, fedratinib pacritinib and momelotinib effectively reduce splenomegaly and symptom burden and have demonstrated survival benefits in clinical trials, their ability to eliminate malignant clones or induce durable disease modification remains limited, and disease progression continues to occur in most patients. Finally, this review assesses the complex immunological dysfunction and chronic inflammatory dysregulation that characterize Ph-negative MPNs, as well as emerging therapeutic strategies, emphasizing the importance of fully understanding these intricate microenvironmental mechanisms for the identification and development of novel precision treatment targets. Full article

Candidatus Hepatincolaceae is a poorly characterized family of obligate Alphaproteobacterial symbionts that are widely detected in ecdysozoans. They were previously assumed to play a nutrient-scavenging role in the gut lumen. In this study, two high-quality metagenome-assembled genomes (MAGs, 1.39 Mb and 1.48 Mb in size) were recovered from the gut of the snapping shrimp Alpheus brevicristatus via metagenomic sequencing. Phylogenetic and whole-genome similarity analyses confirm that these two MAGs represent two novel, undescribed genera within the family Ca. Hepatincolaceae. Metabolic reconstruction reveals that they not only retain the canonical nutrient-scavenging pathways conserved across all Hepatincolaceae members, but also encode previously undocumented functional modules for antioxidant defense, vitamin B₁ and B₂ biosynthesis, and short-chain fatty acid production. They maintain a high oxygen-affinity cytochrome bd terminal oxidase to thrive in the anoxic gut microenvironment. Consistent with their symbiotic lifestyle, their genomes exhibit typical signatures of reductive evolution, such as reduced genome size, low GC content, and gene loss in amino acid and nucleotide de novo biosynthesis pathways. This study presents the first reported high-quality genomes of marine Ca. Hepatincolaceae symbionts, which are predicted to possess multiple metabolic functions extending beyond nutritional mutualism. Full article

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation and joint destruction. Cellular senescence contributes to chronic inflammation, yet key senescence-associated regulators in RA remain unclear. This study aimed to identify RA senescence-related signatures and their roles. Using GSE89408 as the training cohort, we screened hub genes by intersecting differentially expressed and senescence-related genes via WGCNA and three machine learning algorithms, with GSE55457 for external validation. Immune infiltration, regulatory network, subtyping and drug prediction were analyzed. Clinical and in vitro assays validated RIPK2 expression and function in the macrophage senescence-like phenotype, with preliminary signaling exploration. Three senescence-related hub genes (TNFAIP6, SLC2A3, RIPK2) were identified. The derived nomogram showed robust diagnostic performance (AUC = 0.988). Hub genes correlated strongly with myeloid cells, especially macrophages. Two immunologically distinct RA subtypes were identified. RIPK2 was upregulated in clinical samples; its inhibition attenuated LPS-induced macrophage senescence-like changes and inflammation. Preliminary data suggested RIPK2 may act via the NF-κB pathway. This study identifies RA senescence-associated signatures, revealing RIPK2 linking innate immunity to macrophage senescence-like changes, offering novel insights into pathogenesis and supporting it as a candidate biomarker and therapeutic target. Full article

Microphthalmia, anophthalmia and ocular coloboma (MAC) are rare developmental eye disorders. Although over 100 causative genes have been identified, the molecular spectrum and genotype–phenotype correlations remain incompletely understood, particularly in genetically diverse populations. We set out to molecularly characterize MAC in the Israeli population. Forty-seven MAC-affected individuals from 43 unrelated families were enrolled. DNA of all probands was subjected to whole exome sequencing. The most common phenotype was microphthalmia (64% of patients). Definite or possible molecular diagnoses were achieved in 13/43 probands (30%) and involved 10 different genes (MFRP, SMO, GJA8, SOX2, RARB, TSPAN12, SHH, PTPN11, BEST1, and TP63). An in vitro splicing assay was used to explore the pathogenicity of a variant in the SMO gene. Following stringent filtering of exome data, 226 rare possibly pathogenic variants were identified in 218 genes not previously associated with MAC. The rate of molecular diagnosis achieved in this Israeli MAC cohort is similar to the reported range in other studies. The results further demonstrate the genetic heterogeneity of MAC, while supporting the involvement of complex inheritance and/or environmental factors in many of the cases. Further studies are required to reveal these underlying etiological factors, and to support the novel genotype–phenotype associations suggested here. Full article

Background: Research in behavioral genetics has demonstrated that genetic factors significantly contribute to individual differences in behavior, while environmental exposures shape gene expression through epigenetic mechanisms. This interaction is also relevant to the development of antisocial behavior and psychopathic traits. One of the first evidence of gene–environment interaction was the association between low-activity variants of the MAOA gene, childhood maltreatment, and increased risk of antisocial behavior [¹]. Similarly, our research in incarcerated populations showed that adverse paternal parenting is associated with higher levels of psychopathy and the HTR1B rs13212041 TT genotype appears to modulate the individual susceptibility to negative experiences [²]. Single genetic variants, however, exert only modest effects and current evidence supports a polygenic model in which multiple genetic factors interact with environmental adversity to influence neurodevelopment and behavioral outcomes. Using a genome-wide/endophenotype informed analysis, for example, we identified novel gene–environment interactions as risk factors for psychopathy, involving three independent genetic loci in interaction with paternal maltreatment, which were previously associated with disruptive behavior, temperament, and neuroticism [³]. More recently, we also evaluated whether machine-learning models, integrating behavioral, environmental, and genetic variables, could be helpful to predict psychopathic traits. Methods: We compared logistic regression, random forest, support vector machine, XGBoost, and multilayer perceptron. Results: Support vector machine showed the highest accuracy for predicting Psychopathy Check List-Revised (PCL-R) Factor 2 (antisocial lifestyle). Feature-importance analyses identified impulsivity (BIS-11), empathy (IRI), childhood maltreatment (MOPS), and 12 SNPs as the most informative predictors. Notably, removing genetic variables or MOPS scores substantially reduced the model accuracy, indicating that both genetic and environmental information meaningfully contributed to prediction of antisocial behavior. Conclusions: These findings confirm that genetic influences are neither deterministic nor sufficient to explain criminal behavior but may contribute to interindividual differences in vulnerability, particularly through their interaction with environmental and psychosocial factors. In forensic psychiatry, the integration of genetic and environmental information into behavioral assessment may provide additional objective correlates that complement, rather than replace, traditional clinical and psychosocial evaluations. Such an integrated approach could potentially contribute to a more comprehensive understanding of individual vulnerability and behavioral trajectories. However, the use of genetic information in assessments of criminal responsibility should be approached with caution and proven expertise, given the complex, multifactorial nature of antisocial and criminal behavior. Full article

Cancer, the second leading cause of death worldwide, is a significant global challenge, and widespread, accessible, and early diagnostics are recognized as the most cost-effective strategies for reducing cancer burdens. Point-of-care (POC) systems offer an attractive alternative by enabling rapid and cost-effective diagnoses. We introduce a novel POC strategy for cancer biomarker identification based on monitoring the isothermal amplification of relevant cancer markers using a portable Arduino-based loop-mediated isothermal amplification (LAMP) system. The trajectory of the LAMP reaction during the first 3 min of the reaction is used as an indicator of the rate of amplification (defined as the m_P3 value). We obtained sets of m_P3 values that showed statistically significant differences in the genetic expression of four genes (ESR 1, PGR, Her2, and Ki67) within and between tissue spheroids derived from the MCF7, MDA-MB-231, Du145, and BJ fibroblast cell lines. We then used principal component analysis and clustering techniques to demonstrate that the m_P3 value sets derived from the expression of the four selected genes are sufficient to distinguish tissue spheroids derived from four different commercial cell lines. Further qPCR and immunostaining assays confirmed the quantitative LAMP (qLAMP) experimental trends. The immunostaining results were consistent with previous literature reports and with our qLAMP and qPCR results. We present a proof-of-concept demonstration of the use of a LAMP-based POC platform for the identification or discrimination of cancer tissues. Our strategy can be extended to other diseases associated with altered gene expression in body tissues or fluids. Full article

Background/Objectives: Acinetobacter baumannii is a major cause of infections in Intensive Care Units (ICUs), driving mortality through high-level antimicrobial resistance. This study utilized whole-genome sequencing (WGS) to evaluate the phenotypic, genotypic and virulence features of carbapenem-resistant A. baumannii (CRAB), which has caused ventilator-associated pneumonia/tracheobronchitis (VAP/VAT) in the ICU of the University Hospital of Split, Croatia. Methods: Over 1 year, lower respiratory tract specimens from 79 VAP/VAT patients were analyzed. CRAB isolates were identified via MALDI-TOF MS and evaluated for antimicrobial susceptibility, and a representative subset underwent WGS and multilocus sequence typing (MLST). Results: Out of 106 specimens, 18 non-duplicate CRAB strains were isolated. Five isolates underwent genomic analysis, identifying two globally distributed, high-risk Pasteur lineages: ST2 and ST492. These lineages displayed distinct resistomes: ST2 carried bla_OXA-23 and bla_ADC-73, while ST492 harbored plasmid-borne bla_OXA-72 (Rep3-T1/AB082 cluster) and bla_ADC-30. All isolates shared aminoglycoside/macrolide-resistance genes, conserved efflux pumps, and virulence determinants (bau, bas, ent, bar) crucial for acinetobactin synthesis and respiratory colonization. Phylogenetic analysis confirmed regional circulation and genetic links to neighboring countries. Conclusions: This study highlights the evolutionary dynamics of endemic CRAB lineages in a Croatian ICU and their global dissemination, which poses a critical threat, demanding strict infection control and novel therapeutics. Full article

A high manufacturing cost of goods (CoG) remains a critical barrier to the broad clinical adoption of gene therapies and is driven in part by limited productivity in adeno-associated virus (AAV) manufacturing. Here, we report an optimized AAV production process developed to markedly increase upstream titers while preserving vector quality and potency. The process combines a redesigned plasmid system, an optimized plasmid ratio, and a novel synthetic transfection reagent and was benchmarked against a conventional triple-plasmid/PEI MAX workflow. Across multiple AAV capsids and independent production runs, the optimized process reproducibly increased crude harvest titers by approximately 10- to 33-fold relative to the standard process, while maintaining key vector quality attributes. Notably, within the detection limits of the assay, rcAAV was undetectable at 1 × 10¹⁰ vg input with the optimized process, whereas the conventional triple-plasmid (with native Rep-Cap sequence)/PEI MAX workflow remained rcAAV-positive under identical conditions. Importantly, the in vivo potency was comparable to that of vectors produced by the conventional process. These results position our optimized AAV production process as a promising strategy to materially reduce AAV manufacturing CoG per patient. Full article

During high-concentration ethanol fermentation, Saccharomyces cerevisiae often faces multiple stresses, such as high osmotic pressure, ethanol toxicity, and nutrient limitation. These factors collectively limited the production of ethanol. To identify novel targets related to fermentation performance, we employed SHPERM- bCGHR strategy (a marker free allele replacement strategy based on comparative genomics and homologous recombination). We replaced the endogenous PHO4 of the high-producing strain MF01 with the PHO4 allele from MC15, thereby constructing a novel engineered strain MF01-PHO4. Under low-phosphate conditions, compared with the wildtype strain, the PHO5/11/12 genes and ribosomal protein genes showed significant upregulation in MF01-PHO4. These changes were associated with enhanced phosphorus uptake and protein synthesis. Under high phosphate conditions, the PHO4 expression and glycolytic enzyme gene expression in MF01-PHO4 were both lower than MF01, indicating that the substitution of the PHO4 allele may be associated with the coordinated changes in phosphate signal-mediated carbon phosphorus metabolism. This study identifies PHO4 as a promising candidate target for improving high concentration ethanol fermentation efficiency. These findings provide a framework to understand the phosphate-dependent regulatory effects of PHO4 allelic variation and offer a transferable strategy for strain improvement. Full article

Background/Objectives: Colorectal cancer (CRC) remains a leading cause of cancer-associated mortality worldwide. The current therapeutic interventions are heavily constrained by the development of resistance and severe systemic toxicity. To address these challenges, this study integrated a multi-disciplinary framework involving high-throughput in silico screening followed by in vitro experimental validation to identify novel genetic targets of CRC and evaluate the efficacy of FDA-approved drugs. The primary objective was to identify safe and selective therapeutic agents capable of modulating their effect. Methods: The methodology employed a systematic screening of recent large-scale Genome-Wide Association Studies (GWASs) to pinpoint novel targets, followed by in silico pathogenicity prediction, homology modelling and high-throughput virtual screening of over 1615 FDA-approved drugs. The prioritized candidates were validated in vitro using MTT cytotoxicity assays and differential gene expression analysis across CRC cell lines (HCT116 and HT29) and a non-tumorigenic control, Human embryonic kidney cell line HEK293. Results: In silico analysis identified CLUH, CLSTN3 and SLC11A2 as novel potential targets. Based on in silico predicted deleterious mutations and subsequent molecular docking-based virtual screening, Telmisartan, Dutasteride and Venetoclax were prioritized. This prioritization was supported by their high binding affinity and dose-dependent cytotoxicity in MTT assays; thus, suggesting their repurposing potential for CRC treatment. Telmisartan exhibited a superior therapeutic profile not only in terms of the statistically significant cytotoxicity (p < 0.01), but also its selective effect on HCT116 and HT29 when compared to high safety profile in HEK293. This was further validated when Telmisartan selectively downregulated CLUH and SLC11A2 in CRC cell lines, HCT116 and HT29 while maintaining expression levels in the non-cancerous HEK293 cell line remained significantly unaffected. Furthermore, a 100 ns molecular dynamics simulation confirmed the stable binding conformation and structural reliability of the SLC11A2 (Trp179Ser)–Telmisartan complex. Conclucions: Our findings conclude that Telmisartan is a promising candidate for drug repurposing for CRC treatment and capable of modulating selected novel biomarkers CLUH and SLC11A2. However, further multi-omics-based confirmatory studies and pre-clinical validation studies are needed in the future to confirm the long-term efficacy of this repositioning strategy. Full article

Background/Objectives: Malignant hyperthermia (MH) is a life-threatening pharmacogenetic disorder of skeletal muscle primarily associated with pathogenic variants in RYR1; however, a substantial proportion of MH-susceptible individuals lack identifiable variants in known genes. This study aimed to identify novel genetic contributors in Ca²⁺-induced Ca²⁺ release (CICR)-positive patients without RYR1 variants and to evaluate their functional relevance. Methods: Among 29 CICR-positive individuals without pathogenic variants identified by gene panel testing, five patients underwent whole-exome sequencing (WES). In one family, heterozygous variants in ANO5 (p.Arg547Gln) and ORAI3 (p.Arg287Cys) were identified. To evaluate their functional significance, intracellular Ca²⁺ dynamics were analyzed in primary myotubes derived from Case 165, an affected individual carrying both variants, and compared with those from CICR-negative controls and CICR-positive patients harboring RYR1 variants. Results: Myotubes derived from Case 165 demonstrated enhanced sensitivity to caffeine and 4-chloro-m-cresol, elevated resting intracellular Ca²⁺ levels, and greater Ca²⁺ reduction under Ca²⁺-free conditions compared with CICR-negative controls, resembling the phenotype observed in the RYR1 variant group. In contrast, dantrolene-induced Ca²⁺ reduction was significantly greater only in the RYR1 variant group. Conclusions: These findings suggest that ANO5 and ORAI3 variants may contribute to abnormal Ca²⁺ regulation in MH-susceptible individuals without RYR1 mutations and highlight the importance of combining genomic analysis with functional validation to identify novel genetic contributors to MH susceptibility. Full article

Sugarcane (Saccharum spp.) is a globally vital high-biomass sugar crop with a massive demand for potassium (K). Low-K⁺ stress severely restricts its yield and stress resistance. Plasma membrane intrinsic proteins (PIPs) play pivotal roles in transmembrane water transport and ion homeostasis; however, their evolutionary characteristics and molecular mechanisms underlying nutritional stress responses in the complex polyploid sugarcane remain poorly understood. In this study, genome-wide identification in the sugarcane cultivar XTT22 yielded 149 PIP gene family members (comprising 54 PIP1s and 95 PIP2s). Phylogenetic and chromosomal localization analyses demonstrated that the sugarcane PIP family underwent drastic paralogous expansion during evolution, with tandem duplication acting as the core driving force for the dramatic expansion of the PIP2 subfamily. Spatiotemporal expression profiling unveiled significant modular functional division among PIP genes, identifying a core co-expression group driving rapid early seedling elongation and a PIP2-specific expression cluster dedicated to the physiological homeostasis of mature stems. Notably, the core member ScPIP2-70 exhibited significant early-induced responses at both transcriptional and protein levels in roots under low-K⁺ stress. Functional complementation assays in the K⁺-uptake deficient yeast strain R5421 further confirmed that the heterologous expression of ScPIP2-70 effectively rescued the growth defects of yeast under low-K⁺ conditions, demonstrating its potential transmembrane K⁺ transport activity. This study not only comprehensively elucidates the evolutionary dynamics and spatiotemporal expression profiles of the sugarcane PIP gene family but also uncovers the novel pleiotropic function of ScPIP2-70 in mediating low-K⁺ stress tolerance, providing critical theoretical support and candidate gene resources for breeding “potassium-efficient” sugarcane cultivars via modern biotechnology. Full article

The redox state of the nucleus is emerging as a critical determinant of plant cell fate: reactive oxygen species (ROS) signals that originate in chloroplasts, peroxisomes, and the apoplast ultimately converge on nuclear proteins that determine whether a cell mounts a protective response or initiates programmed cell death (PCD). Loss-of-function mutations in ATR7, which encodes a nuclear protein specific to seed plants, confer tolerance to both paraquat- and aminotriazole-induced cell death, establishing ATR7 as a positive regulator of ROS-induced PCD. Yet how ATR7 acts at the molecular level remains unknown. In this paper, we define the ATR7 protein interactome using IP-MS of GFP-tagged ATR7 and integrate it with the atr7 loss-of-function transcriptome to distinguish it as candidate direct molecular partners from transcriptionally regulated targets. To investigate the nuclear protein association with ATR7, we performed GFP affinity purification followed by mass spectrometry (IP-MS) using Arabidopsis thaliana seedlings expressing GFP-ATR7, in comparison with seedlings expressing free GFP as the negative control. The IP-MS candidates were compared with the previously published ATR7 transcriptome data. ATR7 associates with chromatin-modifying proteins, components of the ubiquitin–proteasome system, and a broad set of stress-responsive proteins whose encoding genes are constitutively de-repressed when ATR7 is non-functional. Among the candidate proteins are those that have potential chromatin-regulatory functions, including AT1G01920 (a SET-domain protein) and HDA14, as well as components associated with ubiquitin–proteasome pathways and oxidative stress responses. Several interactors have no current functional annotation and represent candidates for novel roles in oxidative stress signalling. These findings provide the first mechanistic framework for ATR7 action and implicate nuclear chromatin-level repression as a key node in the regulation of ROS-induced PCD in plants. Full article