Search Results (225)

Background/Objectives: Malignant melanoma is characterized by constitutive PI3K/Akt/mTOR and MAPK activation, driving aggressive behavior and therapeutic resistance. Alpha-lipoic acid (αLA), a naturally occurring dithiol compound with an established clinical safety profile, has shown anticancer potential; however, its integrated molecular mechanisms in melanoma remain poorly defined. This study aimed to comprehensively evaluate the cytotoxic and mechanistic effects of αLA in B16F10 murine melanoma cells. Methods: Antiproliferative effects were assessed by MTT assay at four concentrations (250, 500, 750, 1000 µM) over 48 h. Protein levels of apoptotic markers (Bax, Bcl-2, Caspase-3, AIF), kinase signaling components (p-Akt, p-mTOR, p-ERK, p-JNK), ER stress markers (GRP78, GADD153/CHOP), and cell cycle regulator Wee1 were quantified by ELISA at a specifically selected sub-lethal concentration of 750 µM (inducing ~38% growth inhibition). Results: αLA dose-dependently inhibited B16F10 proliferation. At 750 µM, it triggered robust intrinsic apoptotic signaling, evidenced by a nearly 10-fold shift in the Bax/Bcl-2 ratio and greater than 9-fold Caspase-3 activation. Elevated AIF suggested profound mitochondrial stress and the potential priming of concurrent caspase-independent cell death mechanisms. αLA suppressed survival signaling by reducing p-Akt (44%), p-mTOR, p-ERK, and p-JNK. Treatment triggered lethal ER stress via GRP78 and GADD153/CHOP upregulation and upregulated Wee1, suggesting the induction of stress-responsive checkpoint signaling. The simultaneous CHOP upregulation and p-Akt suppression highlight a concurrent dysregulation of stress and survival pathways, suggesting a potential pro-apoptotic interplay. Conclusions: αLA exerts potent multi-target anticancer effects by inducing a broad spectrum of associated molecular changes, including the suppression of PI3K/Akt/mTOR and MAPK networks, induction of ER stress, engagement of cell cycle checkpoints, and activation of the mitochondrial Bax/Bcl-2/Caspase-3 axis. Importantly, these correlative findings do not establish proven pathway dependencies. Nevertheless, this concurrent dysregulation positions αLA as a potential disruptor of inter-pathway resilience underlying drug resistance. Full article

Background: Most bladder cancer cases present as non-muscle-invasive bladder cancer (NMIBC), with the course of multiple recurrences leading to stage progression to muscle-invasive bladder cancer (MIBC) in 10–20% of cases, which is associated with higher morbidity and mortality. Accurate histopathologic classification of bladder cancer remains important for patient management. Methods: This retrospective–prospective observational cohort study was conducted on 244 transurethral resection specimens. Immunohistochemistry assessed CK5/6, CK20, and apoptosis-inducing factor (AIF) using three representations: intensity, percentage of positive cells, and multiplicative score. Discrimination between NMIBC (pTa/pT1) and MIBC (≥pT2), and between low-grade (LG) and high-grade (HG) tumors, was evaluated using ROC/AUC analysis and logistic regression. The main analysis focused on cross-sectional marker performance in primary/non-recurrent tumors. Recurrent tumors were analyzed only as an exploratory subgroup. Tumors were also categorized into basal, luminal, mixed/double-positive, and double-negative phenotypes using thresholds of 10% for CK5/6 and CK20. Results: For stage discrimination, all three markers showed modest separation. The best-performing representation was CK5/6 intensity (AUC 0.641; lower in MIBC). For grade discrimination, the AIF score showed the highest performance (AUC 0.729, higher in HG). Combining markers improved model performance (NMIBC vs. MIBC: AUC 0.784; strict LG vs. HG: AUC 0.778). Using the 10% cutoff in non-recurrent tumors, mixed/double-positive tumors had the lowest MIBC proportion (6.0%) and double-negative tumors the highest (46.7%). Conclusions: CK5/6, CK20, and AIF provide modest discrimination between stages, with lower CK5/6 and CK20, and higher AIF, in MIBC. The AIF score shows the highest separation between grades and may serve as a useful non-proliferation marker for grading, particularly when interpreted alongside CK5/6 and CK20 in a simple immunohistochemical panel. Full article

Background/Objectives: Observational studies have reported comorbidity between diabetic retinopathy (DR) and physical frailty, but their genetic interplay remains incompletely understood. This study evaluated shared genetic architecture and potential causal relationships between DR severity and frailty-related phenotypes (FRPs). Methods: GWAS summary statistics were analyzed for four DR phenotypes (broad DR, background DR [BDR], severe non-proliferative DR, and proliferative DR [PDR]) and six FRPs, including frailty index (FI), appendicular lean mass, handgrip strength (HGS), and walking pace (UWP). Global and local genetic correlations were estimated using LDSC, HDL, and LAVA. Causality was assessed using bidirectional Mendelian randomization (MR) and latent causal variable (LCV) analyses. Biological mechanisms were investigated using partitioned heritability, cross-trait meta-analysis, Bayesian colocalization, tissue and cell enrichment, prioritization (MAGMA/TWAS), and 3D chromatin annotation. Results: BDR and PDR showed positive genetic correlations with FI and negative correlations with UWP. Local genetic correlation analyses identified 82 significant regions, including signals on chromosome 6. MR supported a directional effect in which genetic liability to DR was associated with higher FI and lower HGS, with no evidence of reverse causation. LCV indicated partial genetic causality within a shared polygenic architecture. Cross-trait meta-analysis and colocalization highlighted the MHC region, prioritizing C2, AIF1, NOTCH4, and EHMT2. Additional non-MHC loci included the BCL2L15 gene cluster and TERF1. Conclusions: DR and frailty share genetic determinants involving neurovascular, metabolic, and immune-inflammatory pathways, supporting an association between DR liability and frailty-related decline. Future longitudinal and functional studies are needed to validate these findings and assess candidate pleiotropic genes. Full article

Programmed cell death (PCD) pathways of innate immunity serve to protect host cells from invading viruses. Parthanatos is a novel form of PCD triggered by excessive host cell DNA damage that leads to overactivation of poly(ADP-ribose) polymerase-1 (PARP-1) which in turn stimulates poly(ADP-ribose) (PAR) polymer formation. PAR translocates to the cytoplasm, where it induces release of apoptosis-inducing factor (AIF) from mitochondria, that then travels back to the nucleus, where it mediates large-scale DNA fragmentation and cell death. Little information is available regarding parthanatos as a cell death mechanism to dampen herpesvirus replication at the host cell level. A series of studies were therefore performed to clarify a possible role for parthanatos during productive replication of murine cytomegalovirus (MCMV) and herpes simplex virus type 1 (HSV-1) in diverse cell types. These included mouse embryo fibroblasts, mouse lung fibroblasts, mouse microglial (BV-2) cells, and human retinal pigment epithelial (ARPE-19) cells. We report that PAR protein production is surprisingly cell type specific. Moreover, MCMV or HSV-1 infection may suppress parthanatos as observed for other PCD pathways, such as apoptosis, necroptosis, and pyroptosis, in a dose-dependent and cell type-specific manner. We conclude that the operation of parthanatos at the host cell level during herpesvirus replication is more complex than originally thought but offers new targets for possible therapeutic interventions. Full article

The Artificial Intelligence Forecasting System (AIFS), recently released by the European Centre for Medium-Range Weather Forecasts (ECMWF), represents a major shift in global weather prediction by replacing traditional physically based approaches with machine-learning methods. This study evaluates the impact of using AIFS as initial and lateral boundary conditions for the Weather Research and Forecasting (WRF) model, in contrast to the well-established physically based GFS. The aim of this work is to analyze the sensitivity of these different modelling configurations during three high-impact storms that affected Spain in 2025 and the effects of replacing GFS for AIFS as lateral and boundary conditions for WRF over the accuracy of operational forecasts. The analysis focuses on maximum wind gusts, accumulated precipitation, and the generation of meteorological warnings. Results show that AIFS substantially underestimates wind gusts with mean bias values between −13 and −25 km/h, and its forecasts differ markedly from those of GFS. When coupled with WRF, however, both AIFS-WRF and GFS-WRF produce similar results, with a general tendency to overestimate gusts, with mean bias values between 4 and 15 km/h. In all cases, WRF adds value, improving the representation of wind-related variables compared with the raw global model outputs. For accumulated precipitation, both WRF configurations reproduce the main rainfall patterns associated with the storms. AIFS-WRF shows a stronger tendency to overestimate precipitation, with RMSE values of 64, 23, and 12 mm for the different high-impact storms considered, although it also achieves the highest correlations. Finally, the analysis of meteorological warnings indicates that AIFS alone generates almost no wind gusts alerts. Once coupled with WRF, both configurations generate warnings in the regions where the most severe conditions occurred. Overall, while the added value of mesoscale models such as WRF is well established and confirmed here, the AI-based AIFS does not show clear advantages in comparison with traditional global models for these high-impact events being analyzed. Full article

Background/Objectives: Osteotoxicity is a severe complication of Methotrexate (MTX) chemotherapy, characterized by oxidative stress and disrupted bone remodeling. The primary objective of this study was to investigate the cytoprotective mechanisms of the antioxidant Alpha-Lipoic Acid (ALA) against MTX-induced osteotoxicity, specifically focusing on its modulation of oxidative stress, apoptosis, and Mitogen-Activated Protein Kinase (MAPK) signaling pathways. Methods: Murine osteocyte-like MLO-Y4 cells were cultured and exposed to a fixed dose of MTX (10⁻⁵ M), either alone or concurrently with ALA (50 μmol/L) for 48 h. Biochemical profiling was performed using specific enzyme-linked immunosorbent assays (ELISA) and colorimetric kits to evaluate pro- and anti-apoptotic proteins (Caspase-3, Bax, Bcl-2, Wee1, GRP78, GADD153, AIF), active MAPK components (p-JNK, p-ERK), and standard oxidative stress parameters (TAS, TOS, SOD, GPx). Results: MTX treatment induced significant cellular stress, evidenced by elevated Caspase-3, Bax, p-JNK, and p-ERK levels, alongside a critical reduction in Bcl-2 expression. MTX also markedly increased TOS while depleting TAS, SOD, and GPx levels. Conversely, co-treatment with ALA significantly mitigated these cytotoxic responses. ALA restored the Bax/Bcl-2 balance, effectively downregulated both p-JNK and p-ERK activation, and substantially reinforced the cellular antioxidant defense system by enhancing TAS, SOD, and GPx activities, although recovery to baseline control levels was partial. Conclusions: ALA exerts robust in vitro cytoprotective effects against MTX-induced osteotoxicity in MLO-Y4 cells by counteracting oxidative stress and inhibiting aberrant apoptotic and MAPK signaling. These findings establish a mechanistic baseline, underscoring the need for subsequent in vivo dose–response studies to validate ALA’s therapeutic potential in chemotherapy management. Full article

Background: Terahertz (THz) waves exhibit both photon-like and electron-like properties, showing emerging potential in biomedical applications. Cutaneous squamous cell carcinoma (CSCC) is one of the most common skin tumors. Studies have reported that THz waves can induce apoptosis in cancer cells or ablate tumor tissues. Our previous studies also confirmed that 0.1 THz radiation could significantly promote apoptosis in cutaneous melanoma cells, while it had no apparent effect on fibroblast viability, proliferation, migration, and apoptosis. However, the effects of 0.1 THz radiation on CSCC cells have not yet been explored. Furthermore, there remains a lack of investigation into the structural and functional effects on fibroblasts. Therefore, it is necessary to conduct a systematic study to evaluate the influence of 0.1 THz radiation on both CSCC cells and fibroblasts in order to better understand its potential therapeutic applications in the treatment of skin cancer. Purpose: This study aims to explore the biological effects of 0.1 THz radiation on SCC-7 cells and to uncover the molecular mechanisms underlying THz-induced apoptosis, as well as its potential effect on L-929 cells. Methods: Cell viability was evaluated through the CCK-8 assay, while cell cycle distribution was analyzed with the DNA content detection kit. Wound healing assays were performed to assess cell migration, and Annexin V-FITC staining was used to detect apoptosis. Caspase-3 activity was measured using the caspase-3 activity assay kit. Cell morphology was observed using the Atomic Force Microscope (AFM) and the Transmission Electron Microscopy (TEM). Alterations in membrane potential were detected with the M09 membrane potential probe kit, and intracellular Ca²⁺ levels were quantified using the Fluo-8 AM fluorescent probe. Mitochondrial permeability transition pore (mPTP) opening was assessed with the MPTP detection kit, mitochondrial membrane potential changes were measured using the JC-1 probe kit, and cellular ATP levels were measured with the enhanced ATP assay kit. Subsequently, proteomic analysis was performed. Intracellular reactive oxygen species (ROS) levels were quantified with the ROS detection kit, and cytochrome c (Cyt c) release was quantified using the mouse Cyt c ELISA kit. Apoptosis-inducing factor (AIF) expression was analyzed at both mRNA and protein levels by quantitative real-time PCR (qPCR) and Western blot. AIF expression in CSCC tissues was further evaluated based on the GSE42677 and GSE45164 databases. Finally, cyclosporin A (CsA) was used to inhibit mPTP, and in combination with the iMAC inhibitor, the Aifm1 expression and Cyt c release were examined. Results: Our results showed that THz waves significantly disrupted the membrane integrity of SCC-7 cells and induced mitochondrial structural and functional damage. This resulted in a significant increase in ROS levels and the activation of mPTP and the mitochondrial apoptosis channel (MAC). THz radiation promoted the release of Cyt c and AIF from mitochondria, triggering a noncanonical caspase-3-dependent apoptosis pathway. Notably, L-929 cells did not show significant phenotypic or apoptotic changes under the same irradiation conditions. Bioinformatics analysis of the Gene Expression Omnibus (GEO) database revealed that AIF expression was significantly altered in CSCC tissues compared to normal skin tissues. Conclusions: These findings indicated that 0.1 THz radiation effectively induced apoptosis in SCC-7 cells by triggering mitochondrial dysfunction and ROS generation, which led to the release of AIF. Furthermore, the dysregulation of AIF in CSCC tissues suggested its potential as a promising biomarker. These results provided important molecular insights into the therapeutic potential of THz radiation, particularly for the treatment of cutaneous squamous cell carcinoma. Full article

Pharmacokinetic modeling in Positron Emission Tomography (PET) imaging has become a cornerstone in cancer research, offering insights into tumor development and progression. These models facilitate the quantification of radiotracer distribution and metabolism, enabling precise measurement of physiological parameters essential for cancer diagnosis, staging, and treatment monitoring. However, accurate pharmacokinetic modeling depends on reliable input function acquisition and partial volume correction techniques to minimize biases in quantitative PET metrics. This review provides a comprehensive overview of current methodologies and advancements in pharmacokinetic modeling for PET oncology imaging. We discuss techniques for acquiring input functions, including arterial, venous, and image-derived input functions (IDIFs), along with population-based input functions (PBIFs). Their strengths, limitations, and clinical applications are critically evaluated. Additionally, we examine quantitative methods such as partial volume correction (PVC) that mitigate the spatial resolution limitations of PET, improving radiotracer quantification in small or heterogeneous tumors. Furthermore, we explore advanced kinetic modeling techniques, including compartmental models, graphical approaches, and data-driven methods, highlighting recent innovations such as machine learning and Bayesian modeling. Key areas for future research in PET pharmacokinetic modeling include integrating hybrid imaging modalities, developing robust patient-specific input functions, and leveraging machine learning to streamline modeling processes. These advancements aim to enhance the precision and clinical utility of PET imaging in oncology, leading to more personalized cancer treatment strategies. Full article

Erlotinib, an epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI), is widely used in cancer therapy; however, hepatotoxicity limits its clinical use. This study investigated the protective effects of Liv-52, a polyherbal hepatoprotective formulation, against erlotinib-induced hepatotoxicity in rats and compared its efficacy with melatonin. The animals (n = 24, Wistar albino rats) were randomly categorized into four groups: healthy (HG), erlotinib (ERG), Liv-52 + erlotinib (LEG), and melatonin + erlotinib (MEG). Liv-52 (50 mg/kg/day, orally) and melatonin (10 mg/kg/day, orally) were administered once daily for two weeks. Erlotinib (10 mg/kg, orally) was given every other day to ERG, LEG, and MEG groups for two weeks. Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) were measured. Hepatic malondialdehyde (MDA), total glutathione (tGSH), superoxide dismutase (SOD), and catalase (CAT) levels were analyzed. Additionally, double immunofluorescence staining was performed to evaluate apoptotic (poly[ADP-ribose] polymerase-1 [PARP-1], apoptosis-inducing factor [AIF]), inflammatory (cyclooxygenase-2 [COX-2]), and anti-inflammatory (interleukin-10 [IL-10]) biomarkers in liver tissues. Histopathological examination was also conducted to assess structural alterations. Erlotinib significantly increased MDA, ALT, AST, and LDH while decreasing tGSH, SOD, and CAT (p < 0.001). Strong immunoreactivity for PARP-1, AIF, IL-10, and COX-2, as well as severe hydropic degeneration and necrosis, was observed in ERG (p < 0.05). Both Liv-52 and melatonin significantly ameliorated biochemical, histopathological, apoptotic, and inflammatory alterations (p < 0.05). Notably, Liv-52 demonstrated superior hepatoprotective efficacy compared to melatonin. These findings indicate that Liv-52 effectively attenuates erlotinib-induced hepatotoxicity by modulating oxidative stress, inflammatory responses, and apoptotic pathways, thereby preserving liver function and structural integrity. Full article

Background/Objectives: Clear cell renal cell carcinoma is the most common subtype of kidney cancer and exhibits marked biological heterogeneity, even among tumors of the same histological grade. Although tumor grade remains a key prognostic parameter, the molecular alterations associated with tumor differentiation are not fully understood. This study aimed to evaluate grade-dependent tissue-level expression patterns of proteins involved in cellular stress response, growth regulation, stemness, and apoptosis in clear cell renal cell carcinoma. Methods: Protein expression of heat shock protein 70, insulin-like growth factor 1, octamer-binding transcription factor 4, and apoptosis-inducing factor were analyzed in human clear cell renal cell carcinoma samples and normal renal cortex. Low-grade and high-grade tumors were compared using immunofluorescence staining combined with semi-quantitative and quantitative image analysis. The proportion of positive signals and the number of positive cells were assessed across tissue compartments. In addition, publicly available transcriptomic data from The Cancer Genome Atlas kidney renal clear cell carcinoma cohort were analyzed to explore associations between gene expression levels and overall survival. Results: Distinct grade-dependent expression patterns were observed for all investigated proteins. Heat shock protein 70, insulin-like growth factor 1, and octamer-binding transcription factor 4 showed a higher expression in normal renal tissue with a progressive reduction across tumor grades. In contrast, apoptosis-inducing factor exhibited increased expression in tumor tissue, particularly in low-grade tumors, with a relative decrease in high-grade carcinomas. Stromal compartments of tumor tissue showed minimal or no expression for most markers. Transcriptomic survival analysis did not reveal significant differences in overall survival between high- and low-expression groups for any of the investigated genes. Grade-stratified transcriptomic analysis of the TCGA KIRC cohort revealed consistent patterns for HSP70 family members and OCT4, with progressive grade-dependent mRNA reduction toward higher grades, while IGF1 showed an inverse mRNA trend and AIFM1 showed a uniform reduction across all tumor grades without a clear inter-grade pattern. Conclusions: The findings demonstrate that stress response, growth-related, stemness-associated, and apoptotic proteins display distinct grade-dependent tissue-level expression patterns in clear cell renal cell carcinoma, with the expression profiles of high-grade tumors being of particular translational interest given the aggressive clinical behavior and therapeutic resistance characteristic of this disease stage. These alterations appear to reflect tumor differentiation and biological behavior rather than independent prognostic value, highlighting the complexity of molecular regulation in renal tumorigenesis. Full article

Fungal pathogens pose a major threat to global agriculture and human health, necessitating alternative antifungal strategies with high efficacy and low resistance potential. Antifungal proteins (AFPs) from filamentous fungi are promising candidates due to their stability, selectivity, and diverse mechanisms of action. Here, we characterize Beauveria brongniartii antifungal protein (BbroAFP), a novel cysteine-rich protein from the entomopathogenic fungus B. brongniartii, and investigate its antifungal activity against Botrytis cinerea. Recombinant BbroAFP was expressed in Pichia pastoris, purified, and verified by liquid chromatography–tandem mass spectroscopy (LC–MS/MS) and in silico modeling. BbroAFP showed potent antifungal activity with minimum inhibitory concentrations (MICs) as low as 1 µM against several phytopathogenic fungi, while exhibiting no significant antibacterial activity. Activity was maintained across a wide range of pH and temperature conditions. Confocal microscopy revealed rapid surface binding followed by cytosolic internalization without major cell wall disruption. BbroAFP induced a rapid, transient burst of reactive oxygen species (ROS), accompanied by nuclear DNA fragmentation. Gene expression analysis revealed a transient increase in aif1, whereas mca1 expression decreased at later time points and mca2 remained largely unchanged, suggesting a metacaspase-independent response. Detached tomato leaf assays showed effective protection against B. cinerea without detectable phytotoxicity. Cytotoxicity assays confirmed a favorable safety profile, supporting further evaluation of BbroAFP for plant protection. Full article

Spinocerebellar Ataxia type 2 (SCA2) and Amyotrophic Lateral Sclerosis type 13 (ALS13) are triggered by polyglutamine expansion in Ataxin-2 (ATXN2). To understand these neurodegenerative disorders at the molecular level, the brains of 10-month-old Atxn2-CAG100-knockin mice were analyzed as microglial, astroglial and neuronal fractions via global RNA sequencing. Data were validated by comparison with the spinal cord oligonucleotide microarray profile or filtered by RNA-seq consistency. Here, we show that the mutation causes a massive inflammatory response in microglia and a reciprocal loss of neuronal transcripts in glial fractions, suggesting severe synapse loss. Beyond these general neurodegenerative signs, we identify pathognomonic changes in the machinery for protein translation and RNA splicing. Glial fractions showed upregulation of Gpnmb (to 2082%), Cst7, Clec7a, Axl, Csf1, Lgals3, Lgals3bp, Slc11a1, and Usp18 as an unspecific neuroinflammatory signature, versus downregulation of axonal Nefh (to <19%), and synaptic Scn4b, Camk2b, Rab15, and Grin1 mRNAs correlating with circuit disconnection. In all fractions, reductions in Kif5a, Rph3a, and Cplx1 were noted versus disease-specific inductions of ribosomal subunits, presumably mirroring the partial loss-of-function of ATXN2 as RNA translation modulator. Selective accumulations of embryonic factors Rnu1b2 and Eef1a1 versus downregulation of adult Eef1a2 specify the mutation impact on splicing and translation elongation. As a potential underpinning of toxic gain-of-function, the proteostasis transcript Rnf213 appeared increased in astroglial and microglial fractions. These transcriptome data suggest altered ribosomal and spliceosome machinery, with massive microgliosis versus mild astrogliosis, at the core of SCA2 and ALS13. Full article

Breast cancer remains a major global health challenge, requiring novel therapeutic strategies that can overcome drug resistance and improve treatment efficacy. This study investigates the synergistic antitumor effects of etoposide, a conventional chemotherapeutic agent, and resveratrol, a natural polyphenol with anticancer properties, in human breast cancer cell lines, with particular focus on their ability to activate the parthanatos cell death pathway. Using MCF-7 (estrogen receptor-positive) and MDA-MB-231 (triple-negative) breast cancer cells, we assessed cell viability via MTT assays and evaluated parthanatos activation through multiple complementary approaches including AIF translocation determined by subcellular fractionation, NAD+ depletion measurement, and gene expression analysis. Synergy was quantified using the Chou–Talalay method across multiple effect levels (ED50, ED75, ED90). To establish causality, Olaparib PARP inhibitor experiments were performed to confirm that PARP-1 hyperactivation is essential for the observed cytotoxic effects. The results demonstrated that the etoposide–resveratrol combination significantly enhanced cell death and inhibited proliferation compared to single-agent treatments, with combination index (CI) values indicating strong synergism (CI = 0.62–0.75 for MCF-7; CI = 0.58–0.71 for MDA-MB-231). This synergy was associated with robust parthanatos activation, evidenced by increased PARP-1 expression, AIF nuclear translocation confirmed by subcellular fractionation, and significant NAD+ depletion. Critically, Olaparib pre-treatment (3 µM) significantly rescued cells from combination-induced death, restored NAD+ levels to near-control values, and prevented AIF translocation, establishing a causal link between PARP-1 hyperactivation and parthanatos-mediated cytotoxicity. The combination also induced significant DNA fragmentation, elevated oxidative stress, and cell death with morphological features consistent with parthanatos, while caspase activity remained low, confirming caspase-independent cell death. These findings suggest that targeting parthanatos with etoposide and resveratrol could offer a promising therapeutic strategy for breast cancer, potentially overcoming resistance and improving efficacy. Further in vivo studies and clinical investigations are needed to validate these results and explore translational applications. Full article

CDKL5 Deficiency Disorder (CDD) is a severe neurodevelopmental encephalopathy characterized by early disruptions of synaptic maturation and network stability, leading to persistent motor, cognitive, and behavioral impairments. Given the role of the endocannabinoid system in synaptic development, neuroinflammation, and neuronal resilience, we investigated whether the sustained enhancement of endogenous 2-arachidonoylglycerol (2-AG) signaling via monoacylglycerol lipase (MAGL) inhibition could mitigate key pathological features in adult Cdkl5 knockout (KO) mice. Using an intermittent 6-week treatment, the MAGL inhibitor JZL184 robustly increased plasma 2-AG levels, reduced MAGL protein levels, and activated CB1-AKT signaling without evidence of receptor desensitization. Despite this clear pharmacodynamic efficacy, behavioral effects were domain-specific: neither dose ameliorated core behavioral deficits, although the higher dose selectively reduced stereotypic jumping and modestly improved cue-dependent associative memory. At the cellular level, JZL184 induced biologically meaningful effects, partially restoring dendritic spine maturation in the primary somatosensory cortex and increasing neuronal survival in the vulnerable CA1 hippocampal region. In contrast, microglial responses were dose-dependent and divergent, with the lower dose exerting anti-inflammatory effects, while the higher dose increased cortical microglial density and Allograft Inflammatory Factor-1 (AIF-1) expression, suggesting engagement of compensatory or off-target mechanisms. Overall, these findings show that MAGL inhibition activates neuroprotective pathways and ameliorates select structural deficits in adult Cdkl5 KO mice, but is insufficient to produce broad behavioral recovery, highlighting the domain-specific effects of selective 2-AG enhancement via MAGL inhibition and the need for developmentally informed or multimodal therapeutic strategies in CDD. Full article

The biological activities of fucoidan from brown algae have attracted considerable attention. Degradation to low-molecular-weight fucoidan reduces viscosity and improves bioavailability, enhancing antioxidant and anti-inflammatory effects. Fucoidan was degraded using acetic acid combined with ⁶⁰Co γ-ray irradiation and fractionated by Bio-Gel P10 chromatography to obtain four fractions (AIF1–AIF4). The fractions were structurally characterized and assessed for in vitro radical-scavenging activity and modulation of oxidative stress markers in H₂O₂-induced RAW264.7 macrophages. Compared with the model group, all fractions significantly increased catalase (CAT) and superoxide dismutase (SOD) activities, with the highest increase of approximately 1.33 U/mgprot for CAT and 20.32 U/mgprot for SOD, while decreasing malondialdehyde (MDA) and intracellular reactive oxygen species (ROS) levels. Among the four fractions, AIF4, with the lowest molecular weight, exhibited the highest antioxidant activity. LMWF treatment also upregulated the mRNA expression of antioxidant-related genes (HO-1, SOD1, SOD2) and signaling molecules (PI3K and Akt), accompanied by increased protein levels of nuclear factor erythroid 2-related factor 2 (Nrf2) and PI3K/Akt pathway components. These findings indicate that LMWF is closely associated with the regulation of the PI3K/Akt–Nrf2 signaling axis under oxidative conditions and support its potential application as a dietary antioxidant ingredient. Full article