Search Results (54)

Background: Conventional ophthalmic eye drops have low bioavailability (<5%) and poor patient adherence, driving the development of sustained-release ophthalmic drug delivery systems. The lacrimal drainage system represents a unique anatomical site for minimally invasive depot formulations. Objective: To summarize and critically appraise punctal and intracanalicular drug delivery systems, occlusive devices, and in situ-forming hydrogels with respect to composition, release mechanisms, clinical efficacy, safety, and critical quality attributes (CQAs). Methods: A narrative literature review was conducted using PubMed, Scopus, Web of Science, Google Scholar, ClinicalTrials.gov, and patent/regulatory sources, including FDA materials and Google Patents, covering 2001–2026. Anatomical features, materials, active pharmaceutical ingredients, release profiles, and adverse events were analyzed. Results: Seventy-one sources were included. Occlusive plugs without an active pharmaceutical ingredient demonstrate premature expulsion in up to 57.4% of cases and bacterial colonization in 44%. Drug delivery systems provide release from 7 days (PEGDA hydrogels) to 3 months (Eximore, Ocular Therapeutix™). DEXTENZA^® (dexamethasone) is FDA-approved for postoperative inflammation, whereas pivotal trials of travoprost (OTX-TP) and latanoprost systems (L-PPDS, EXP-LP) did not demonstrate superiority over placebo or eye drops. In situ systems eliminate size-fitting requirements but face challenges related to gelation control and biodegradation. Conclusions: We propose the following candidate CQAs: retention (>80% over 4 weeks), swelling degree (30–60%), controlled burst release (<40% within 24 h), and mechanical compatibility. The proposed QTPP matrices for punctal, intracanalicular, and in situ systems may guide the development of ophthalmic drug delivery platforms. Full article

Nervous system and corneal disorders are major causes of permanent disability worldwide, largely due to the limited regenerative capacity of ectoderm-derived tissues. Therefore, the development of accessible and ethically acceptable cell-based therapies promoting the repair and regeneration of these tissues is of considerable translational importance. In this study, we aimed to comparatively evaluate the ectodermal differentiation potential of human adipose-derived stem cells (ADSCs) and human amniotic epithelial cells (hAECs) in vitro, with hAECs serving as a reference cell population with established ectodermal plasticity. Primary ADSCs and hAECs were characterized phenotypically using flow cytometry and functional differentiation assays. Cells were subjected to a directed ectodermal differentiation protocol and assessed via morphological analysis, immunostaining for ectoderm-associated proteins, and RT-qPCR analysis of lineage-specific genes. ADSCs exhibited morphological changes following differentiation, including a more epithelial-like phenotype and an increased nucleus-to-cytoplasm ratio. Immunostaining revealed the induction of nestin and OTX2 expression after differentiation, which was particularly pronounced in ADSCs. Gene expression analysis demonstrated statistically significant upregulation of the ectoderm-related genes EN2, SOX1, and PAX6 exclusively in hAECs. Results suggest that in ADSCs the differentiation process was only partially activated. In conclusion, our findings further support the suitability of hAECs as a reference cell line for studies investigating ectodermal differentiation protocols, while also demonstrating that ADSCs exhibit a limited but detectable capacity for acquiring ectoderm-specific characteristics under defined in vitro culture conditions. Full article

Background: Neuroinflammation is recognized as a key contributor to Parkinson’s disease (PD), but the relationships between inflammatory signaling, immune-state alterations, and cell-type-specific transcriptional programs remain unclear. Methods: Public transcriptomic datasets, including GSE20141 (discovery cohort) and the substantia nigra subset of GSE114517 (external validation cohort), were analyzed. Genes identified by exploratory differential-expression screening in the discovery cohort were intersected with predefined inflammation- and chemokine-related gene sets to define a candidate space for downstream prioritization. Protein–protein interaction, Gene Ontology, KEGG, and immune-signature analyses were performed, followed by machine learning-based feature prioritization using Elastic Net, support vector machine-recursive feature elimination, and random forest. Prioritized candidates were further evaluated by cross-platform validation, single-nucleus transcriptomic mapping, and a hypothesis-generating in silico perturbation analysis in PD astrocytes. Results: Seventeen genes were retained at the intersection of PD-related differentially expressed genes and inflammation-/chemokine-associated gene sets. These candidates formed a response module enriched in mitochondrial organization, oxidative phosphorylation, and mitophagy pathways. Immune-signature analysis suggested an altered transcriptome-derived immune landscape in PD, with changes in NK cell-related signatures and significant correlations between immune-state scores and the candidate genes. Machine learning-based prioritization yielded five shared candidates, of which only CCL2 and PAK6 showed same-direction support with nominal significance in the external validation cohort. Single-nucleus transcriptomic analysis localized CCL2 predominantly to astrocytes, whereas PAK6 was more strongly associated with neuronal populations, particularly OTX2-positive ventral midbrain neurons. In silico perturbation analysis further predicted that CCL2 suppression in PD astrocytes may be associated with translational- and ribosome-related regulatory programs. Conclusions: CCL2 and PAK6 emerged as prioritized candidate biomarkers associated with PD-related inflammatory and chemokine-linked transcriptional alterations in the substantia nigra. More broadly, this study provides a multi-layered framework for candidate prioritization, cross-platform validation, and cell-type-level contextualization in PD neuroinflammation. Because the study is computational and the perturbation analysis is predictive, orthogonal experimental validation will be required to determine whether CCL2 and PAK6 are biomarkers of disease-associated transcriptional states, functional contributors to PD pathogenesis, or both. Full article

The sophistication of cyber attacks and privacy issues related to data sharing is improving and requires a decentralized approach. Conventional centralized approaches to IDS pose a threat to the privacy of data and data sovereignty. Contrarily, federated learning enables several clients to learn simultaneously without sharing their sensitive information, which is one of the most promising solutions to studying cyber threats in real time. This framework also adds value to IDS by using CTI, which is incorporated into the training process to make it more accurate in its detection while still maintaining privacy. Each client uses the local model, which is a random forest model that is trained on local datasets without sharing the raw data. Multiple aggregation methods, such as FedAvg, FedOPT, FedProx, and FedXGBoost, are then used to combine the local models into a global model. These techniques are judged with regard to accuracy and Cohen’s Kappa Score. The performance of various models in the NF-UNSW-NB15-v2 dataset experiments was tested. The local model took a value of 0.9941–0.9934 with Kappa scores of 0.8336–0.8088, showing strong performance in different configurations. The FedXGBoost aggregated global model was best in terms of its highest accuracy of 99.22 (Kappa score of 0.8417). More experiments were done on the DFedForest and DFedForest++ models. DFedForest++, incorporating diversity in local models alongside validation accuracy, achieved 99.76% accuracy, surpassing DFedForest (with 71% accuracy in local models). This framework operationalizes CTI through feature augmentation—appending three CTI-derived features (is_known_malicious_ip, is_suspicious_port, and ttp_match_score from MITRE ATT&CK v14 and AlienVault OTX) to each NetFlow record locally at each client before federated training begins. These results highlight the advantages of federated learning in providing collaborative, privacy-preserving solutions for cyber threat detection and emphasize the potential of CTI integration for improving the accuracy and robustness of IDS models across decentralized environments. Full article

The purpose of our study is to explore the potential of a transcription factor-based strategy for directly converting mouse fibroblasts into photoreceptor-like cells. The mouse cDNAs of Ascl, Crx, Ngn1, Nrl, and Otx2 were cloned into a modified commercial adenoviral vector. Mouse embryonic fibroblasts (MEFs) were isolated from E13.5 embryos, and mouse postnatal fibroblasts (MPFs) were isolated from three-day-old mice. A pool of adenoviruses containing five genes was prepared to infect MEFs or MPFs once daily for two days. The MEFs or MPFs were incubated in a specific medium supplemented with forskolin and were changed every two days. After 7 or 14 days, the photoreceptor-like cells were assayed via immunofluorescence or polymerase chain reaction with reverse transcription (RT–PCR). The photoreceptor-like cells were then transplanted into adult C57BL/6 mouse retinas and were assessed by immunofluorescence 14 days following transplantation. Screening from a pool of five candidate genes, we reported that a combination of only three factors—Crx, Nrl, and Otx2—was sufficient to convert mouse embryonic and postnatal fibroblasts into photoreceptor-like cells. The induced photoreceptor-like cells expressed photoreceptor-specific proteins such as Recoverin, Rhodopsin, and Opsin and integrated into the outer nuclear layer of the retina following transplantation. This exploratory study provides preliminary evidence that fibroblasts can be directly converted into photoreceptor-like cells, suggesting a cellular model and potential source for future transplantation strategies aimed at retinal repair. Full article

The identification of mRNA isoforms in biological samples is crucial for studying tissue- and cell-specific isoform expression, activity of tissue-specific promoters, alternative splicing events, and alternative polyadenylation signals in genes. For single or several genes, expressed mRNA isoforms can be found using RT-PCR and RT-qPCR. Available transcriptome short-read archives deposited in GenBank or as laboratory data can be used to identify mRNA isoforms instead of or prior to wet analysis by other methods in eukaryotic organisms with annotated genomes. However, isoform expression analysis requires advanced bioinformatics skills and may be time-consuming. In addition, this analysis generates a large amount of unnecessary data. To detect mRNA isoforms encoded by one gene of interest, screening of expressed mRNAs in NGS data can be simplified by mapping NGS short reads to a single-gene or transcript sequence. Using single-gene/transcript mapping, we analyzed the expression of the Otx gene at the mRNA isoform level in some embryonic and adult tissue mRNA libraries of the sea urchin Strongylocentrotus purpuratus available in GenBank. The presence of expressed Otx mRNA isoforms was confirmed by RT-qPCR in the same tissues and at the same developmental stages of the closely related species Strongylocentrotus intermedius. We showed that single-gene/transcript mapping is a suitable approach for qualitative evaluation of the expression of mRNA isoforms and recognition of at least two expressed isoforms in the same biological sample. Full article

The regenerative potential of the mammalian retina is limited, yet identifying signaling pathways that influence progenitor cell behavior remains an important step toward understanding the mechanisms of retinal development and plasticity. Epidermal Growth Factor Receptor (EGFR) signaling has been implicated in regulating proliferation and differentiation in the central nervous system, but its role in the postnatal retina is less defined. In this study, we employed an ex vivo explant model of the postnatal mouse retina to investigate the effects of sustained Epidermal Growth Factor (EGF) stimulation. Our results demonstrate that EGF extends the proliferative activity of progenitors that are normally quiescent after birth. However, the sustained EGFR activation (10 ng/mL, for 7 days) in the postnatal retina not only promotes EGFR+ progenitor proliferation but also maintains co-expression of Otx2 and Chx10, revealing a distinct progenitor population, suggesting that extended EGF signaling influences lineage allocation. These findings indicate that EGFR activation can modulate both the maintenance and differentiation potential of retinal progenitors in a context-dependent manner. While additional studies are needed to determine whether these progenitors develop into mature, functional neurons, our work provides a framework for future investigations into signaling pathways that may be leveraged to influence retinal development and plasticity. Full article

Internet of Things (IoT) devices are increasingly deployed in homes and enterprises, yet they face a rising rate of cyberattacks. High-quality Cyber Threat Intelligence (CTI) is essential for data-driven, deep learning (DL)-based cybersecurity, as structured intelligence enables faster, automated detection. However, many CTI platforms still use unstructured or non-standard formats, hindering integration with ML systems.This study compares CTI from one commercial platform (AlienVault OTX) and public vulnerability databases (NVD’s CVE and CPE) in the IoT/smart home context. We assess their adherence to the Structured Threat Information Expression (STIX) v2.1 standard and the quality and coverage of their intelligence. Using 6.2K IoT-related CTI objects, we conducted syntactic and semantic analyses. Results showed that OTX achieved full STIX compliance. Based on our coverage metric, OTX demonstrated high intelligence completeness, whereas the NVD sources showed partial contextual coverage. IoT threats exhibited an upward trend, with Network as the dominant attack vector and Gain Access as the most common objective. The limited use of STIX-standardized vocabulary reduced machine readability, constraining data-driven applications. Our findings inform the design and selection of CTI feeds for intelligent intrusion detection and automated defense systems. Full article

Transcription factors orthodenticle homeobox 2 gene (OTX2), paired box 6 gene (PAX6), and SRY-box transcription factor 2 gene (SOX2) are key regulators of ocular morphogenesis; however, their comparative embryonic localization across species—and the correspondence between transcript and protein distributions—remain incompletely defined. Chromogenic in situ hybridization (CISH) was employed to detect OTX2, PAX6, and SOX2 transcripts, while biotin–streptavidin immunohistochemistry (IHC) was used to assess Otx2, Pax6, and Sox2 protein expression. A semi-quantitative scoring system was applied to evaluate positive structures across ocular compartments. Transcripts were predominantly localized to the retina in both species, with occasional low-level expression in the optic nerve, sclera, and eyelid. Proteins displayed broader distributions: Otx2 was abundant in the retina and eyelid, while Pax6 and Sox2 were detected in multiple tissues, including cornea and extraocular muscles. OTX2, PAX6, and SOX2 show retina-predominant transcription and wider protein expression across ocular tissues. These findings highlight spatial differences between transcript and protein localization, supporting a complex regulatory framework underlying vertebrate eye development. Full article

OCT4 is a critical transcription factor for early embryonic development and pluripotency. Previous studies have shown that the regulation of OCT4 by the transcription factor GATA4 is species-specific in pigs. This study aimed to further investigate whether there are other transcription factors that co-regulate the transcription of OCT4 with GATA4 in pigs. A CRISPR activation (CRISPRa) sgRNA library was designed and constructed, containing 5056 sgRNAs targeting the promoter region of 1264 transcription factors in pigs. Then, a pig PK15 cell line was engineered with a single-copy OCT4 promoter-driven EGFP reporter at the ROSA26 locus, combined with the dCas9-SAM system for transcriptional activation. The CRISPRa sgRNA lentiviral library was used to screen for transcription factors, with or without GATA4 overexpression. Flow cytometry combined with high-throughput sequencing identified MYC, SOX2, and PRDM14 as activators and OTX2 and CDX2 as repressors of OCT4. In the presence of GATA4, transcription factors such as SALL4 and STAT3 showed synergistic activation. Functional validation confirmed that HOXD13 upregulates OCT4, while OTX2 inhibits it. GATA4 and SALL4 synergistically enhance OCT4 expression. These findings provide new insights into combinatorial mechanisms that control the transcriptional regulation of OCT4 in pigs. Full article

Background/Objectives: Olfactory neuroblastoma (ONB), also known as esthesioneuroblastoma, is a rare neuroectodermal malignancy of the nasal cavity characterized by aggressive local invasion and variable metastatic potential, with diverse clinical behavior, often presenting at advanced stages. ONB poses challenges for targeted therapeutic strategies, despite advances in surgical and multimodal treatment strategies, because of the rarity of this disease and the limited understanding of its molecular pathophysiology. Methods: A comprehensive review of genomic, multi-omic, and molecular studies was performed to integrate known targeted sites in ONB with the current understanding of its pathophysiology. Results: Recent genetic and molecular studies have identified significant epigenetic and signaling pathway alterations that are critical in pathogenesis and treatment resistance and may serve as potential therapeutic targets. Additionally, novel discovered immunohistochemical and transcriptomic markers, such as IDH2, NEUROD1, and OTX2, offer improved diagnostic specificity and prognostication. Multi-genomic platforms (i.e., multi-omics), involving the combined integration of transcriptomics, epigenetics, and proteomics findings, have led to several recent insights, including the subclassification of neural and basal genomic subtypes, the identification of key driver mutations, and new insights into disease development. This review synthesizes current knowledge on the molecular landscape of ONB, including its tumor origin, immune microenvironment, genetic alterations, and key molecular pathways involved in its pathogenesis. Conclusions: Future research may benefit from integrating these findings into precision medicine approaches, enabling earlier diagnosis and more accurate prognosis. Full article

With the morbidity of cancer currently on a perpetual rise, there is a critical need for new treatment options. Current therapeutic options, such as chemotherapy and radiotherapy, are frequently employed; however, the high rate of recurrence underscores the incomplete understanding of tumour growth, progression, and the intricacies of their microenvironments. In this study, we review the roles that galectin-1 (Gal1) plays in suppressing immune surveillance in the tumour microenvironment. Studies have shown that Gal1 changes the immune system parameters: suppressing T cell function, sensitising resting T lymphocytes to Fas/FasL, decreasing cell proliferation, reducing adhesion to extracellular matrix, inhibiting Th1 cytokines, increasing M2 phenotype macrophages, and promoting angiogenesis. Gal1 has garnered increasing attention as a potential therapeutic target due to its involvement in tumour progression and immune evasion. Given the limitations and toxic side effects associated with current treatment options, alternative strategies targeting Gal1 have been explored for their therapeutic potential. Approaches such as OTX008, anti-Gal1 monoclonal antibodies, and Gal1-targeted vaccines have demonstrated the ability to downregulate tumour progression by inhibiting Gal1 activity. These findings highlight the therapeutic promise of Gal1 not only as a novel target for cancer therapy but also as a potential prognostic biomarker, offering opportunities for the development of more effective and less toxic treatment strategies. Full article

Background/Objectives: Metastatic prostate cancer (PCa) remains a major clinical challenge with limited therapeutic options. The long non-coding RNA H19 has been implicated in regulating cell adhesion molecules and collective migration, key features of metastatic dissemination. This study investigates the role of the Bromodomain and Extra-Terminal (BET) proteins BRD2, BRD3, and BRD4 in the H19-dependent transcriptional regulation of cell adhesion molecules. Currently, the major effects of BET inhibitors require androgen receptor (AR) expression. Methods: H19 was stably silenced in PC-3 (AR-null) and 22Rv1 (AR-positive) castration-resistant PCa cells. The cells were treated with the pan-BET inhibitors JQ1 and OTX015 or the BET degrader dBET6. In vivo, the effects of JQ1 were evaluated in xenograft mouse models. Chromatin immunoprecipitation (ChIP) and RNA-ChIP were used to assess BET protein recruitment and interaction with cell adhesion gene loci and H19. Organotypic slice cultures (OSCs) from fresh PCa surgical specimens were used as ex vivo models to validate transcriptional changes and BRD4 recruitment. Results: BET inhibition significantly reduced the expression of β4 integrin and E-cadherin and cell proliferation in both basal conditions, and following H19 knockdown in PC-3 and 22Rv1 cells. These effects were mirrored in JQ1-treated tumor xenografts, which showed marker downregulation and tumor regression. ChIP assays revealed that BRD4, more than BRD2/3, was enriched on β4 integrin and E-cadherin promoters, especially in regions marked by H3K27ac. H19 silencing markedly enhanced BRD4 promoter occupancy. RNA-ChIP confirmed a specific interaction between BRD4 and H19. These findings were validated in OSCs, reinforcing their clinical relevance. Conclusions: Our study demonstrates that BRD4 epigenetically regulates the H19-mediated transcriptional control of adhesion molecules involved in collective migration and metastatic dissemination. Importantly, these effects are independent of AR status, suggesting that targeting the H19/BRD4 axis may represent a promising therapeutic avenue for advanced PCa. Full article

Background/Objectives. Cisplatin is part of the first-line treatment of advanced urothelial carcinoma. Cisplatin resistance is a major problem but may be overcome by combination treatments such as targeting epigenetic aberrances. Here, we investigated the effect of the class I HDACi entinostat and bromodomain inhibitors (BETis) on the potency of cisplatin in two pairs of sensitive and cisplatin-resistant bladder cancer cell lines. Cisplatin-resistant J82cisR and T24 LTT were 3.8- and 24-fold more resistant to cisplatin compared to the native cell lines J82 and T24. In addition, a hybrid compound (compound 20) comprising structural features of an HDACi and a BETi was investigated. Results. We found complete (J82cisR) or partial (T24 LTT) reversal of chemoresistance upon combination of entinostat, JQ1, and cisplatin. The same was found for the BETis JQ35 and OTX015, both in clinical trials, and for compound 20. The combinations were highly synergistic (Chou Talalay analysis) and increased caspase-mediated apoptosis accompanied by enhanced expression of p21, Bim, and FOXO1. Notably, the combinations were at least 4-fold less toxic in non-cancer cell lines HBLAK and HEK293. Conclusions. The triple combination of entinostat, a BETi, and cisplatin is highly synergistic, reverses cisplatin resistance, and may thus serve as a novel therapeutic approach for bladder cancer. Full article

Medulloblastoma (MB) encompasses diverse subgroups, and leptomeningeal disease/metastasis (LMD) plays a substantial role in associated fatalities. Despite extensive exploration of canonical genes in MB, the molecular mechanisms underlying LMD and the involvement of the orthodenticle homeobox 2 (OTX2) gene, a key driver in aggressive MB Group 3, remain insufficiently understood. Recognizing OTX2’s pivotal role, we investigated its potential as a catalyst for aggressive cellular behaviors, including migration, invasion, and metastasis. OTX2 overexpression heightened cell growth, motility, and polarization in Group 3 MB cells. Orthotopic implantation of OTX2-overexpressing cells in mice led to reduced median survival, accompanied by the development of spinal cord and brain metastases. Mechanistically, OTX2 acted as a transcriptional activator of the Mechanistic Target of Rapamycin (mTOR) gene’s promoter and the mTORC2 signaling pathway, correlating with upregulated downstream genes that orchestrate cell motility and migration. Knockdown of mTOR mRNA mitigated OTX2-mediated enhancements in cell motility and polarization. Analysis of human MB tumor samples (N = 952) revealed a positive correlation between OTX2 and mTOR mRNA expression, emphasizing the clinical significance of OTX2’s role in the mTORC2 pathway. Our results reveal that OTX2 governs the mTORC2 signaling pathway, instigating LMD in Group 3 MBs and offering insights into potential therapeutic avenues through mTORC2 inhibition. Full article