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Cinnamomum zeylanicum Blume, known for its medicinal and culinary value, was analyzed for comparative phytochemical profiling and antioxidant potential between Indian (Shillong, Kolkata) and African (Tanzania) stem bark varieties. Using HPTLC and GC-MS, the essential oils revealed key variations in chemical constituents, notably the exclusive presence of eugenol in the Tanzanian variety and higher cinnamaldehyde dimethyl acetal content. Physicochemical and organoleptic differences reflected geographic influence. Antioxidant studies using DPPH and FRAP assays confirmed superior activity in the Tanzanian sample, with the lowest IC50 (22.05 µg/ml) and highest FRAP value (579 µM). Phytochemical screening confirmed the presence of multiple bioactive compounds in the samples. These results underscore the significance of geographical origin in the quality and efficacy of medicinal plants, supporting the need for standardization protocols. This study provides a robust framework for evaluating regional variations in C. zeylanicum, enhancing its pharmacological validation and ensuring authenticity in herbal formulations. Molecular docking study with eugenol revealed strong binding affinity of eugenol with protein targets PTP1B, PPARγ, PPARδ, and PPARα in diabetes, and with BACE1 in Alzheimer's disease. Show less

To develop a deep-learning model for segmenting and classifying adrenal nodules as either lipid-poor adenoma (LPA) or nodular hyperplasia (NH) on contrast-enhanced computed tomography (CECT) images. This retrospective dual-center study included 164 patients (median age 51.0 years; 93 females) with pathologically confirmed LPA or NH. The model was trained on 128 patients from the internal center and validated on 36 external cases. Radiologists annotated adrenal glands and nodules on 1-mm portal-venous phase CT images. We proposed Mamba-USeg, a novel state-space models (SSMs)-based multi-class segmentation method that performs simultaneous segmentation and classification. Performance was evaluated using the mean Dice similarity coefficient (mDSC) for segmentation and sensitivity/specificity for classification, with comparisons made against MultiResUNet and CPFNet. From per-slice segmentation, the model yielded an mDSC of 0.855 for the adrenal gland; for nodule segmentation, it achieved mDSCs of 0.869 (LPA) and 0.863 (NH), significantly outperforming two previous models-MultiResUNet (LPA, p < 0.001; NH, p = 0.014) and CPFNet (LPA, p = 0.003; NH, p = 0.023). Classification performance from per slice demonstrated sensitivity of 95.3% (95% confidence interval [CI] 91.3-96.6%) and specificity of 92.7% (95% CI: 91.9-93.6%) for LPA, and sensitivity of 94.2% (95% CI: 89.7-97.7%) and specificity of 91.5% (95% CI: 90.4-92.4%) for NH. The classification accuracy for patients from external sources was 91.7% (95% CI: 76.8-98.9%). The proposed multi-class segmentation model can accurately segment and differentiate between LPA and NH on CECT images, demonstrating superior performance to existing methods. Question Accurate differentiation between LPA and NH on imaging remains clinically challenging yet critically important for guiding appropriate treatment approaches. Findings Mamba-Useg, a multi-class segmentation model utilizing pixel-level analysis and majority voting strategies, can accurately segment and classify adrenal nodules as LPA or NH. Clinical relevance The proposed multi-class segmentation model can simultaneously segment and classify adrenal nodules, outperforming previous models in accuracy; it significantly aids clinical decision-making and thereby reduces unnecessary surgeries in adrenal hyperplasia patients. Show less

Immune checkpoint inhibitors have transformed melanoma therapy but frequently cause immune-related adverse events (irAEs), including colitis, that limit treatment. Reliable biomarkers predicting toxicity remain lacking. In this retrospective, multicenter study, we analyzed pretreatment serum samples from 331 patients with metastatic melanoma treated with anti-CTLA-4 (ipilimumab), anti-PD-1 (pembrolizumab or nivolumab), or combination ipilimumab/nivolumab. IgG autoantibody reactivity against 832 human protein antigens, including autoimmune targets, cytokines, tumor-associated antigens, and cancer pathway proteins, was profiled using multiplex bead-based arrays. Statistical analysis (Significance Analysis of Microarrays and Cox regression) identified autoantibody signatures associated with subsequent irAEs and immune-related colitis (ir-colitis). We detected 47 autoantibodies predictive of irAEs, with KRT7, RPLP2, UBE2Z, and GPHN emerging as the strongest markers. Anti-KRT7 and anti-GPHN were specifically predictive in patients receiving PD-1 monotherapy, whereas anti-RPLP2 was associated with irAEs in ipilimumab/nivolumab combination therapy. For ir-colitis, 38 autoantibodies were identified, with five (PIAS3, RPLP0, UBE2Z, KRT7, and SDCBP) showing consistent predictive value across treatment groups. Anti-PIAS3 and anti-RPLP0 increased ir-colitis risk, while anti-SDCBP conferred protection. Notably, predictive profiles differed between PD-1-based and CTLA-4-based regimens, underscoring divergent mechanisms of toxicity. Several autoantibodies predictive of irAEs or ir-colitis also correlated with clinical outcome. ATG4D, MAGEB4, and IL4R were associated with prolonged progression-free and overall survival, whereas FGFR1 predicted both reduced irAE risk and inferior survival, consistent with the link between heightened immune activation, toxicity, and therapeutic benefit. This study, to our knowledge, is the largest pretreatment autoantibody screen in melanoma immunotherapy, demonstrates that serum autoantibody profiles can stratify patients at risk for irAEs and ir-colitis. The identified signatures connect tumor-related and immunity-related antigens, stress-response pathways, and autoimmune mechanisms. Pretreatment autoantibody profiling offers a promising biomarker-driven approach for individualizing risk assessment, improving patient selection, and guiding early intervention strategies to enhance the safety of immune checkpoint blockade in melanoma. Beyond toxicity prediction, our findings also suggest that specific autoantibodies may reflect underlying immune activation states linked to therapeutic response. Show less

We tested whether inflammation indexed by soluble tumor necrosis factor receptor-1 (sTNFR1) is related to cognitive decline. We examined serum sTNFR1 with cognition in the Health and Retirement Study (HRS) and cerebrospinal fluid (CSF) sTNFR1 with tau pathology and magnetic resonance imaging (MRI)-based atrophy in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Finally, we used Mendelian randomization (MR) to assess associations between genetically proxied sTNFR1 and regional brain volumes. Data were from HRS (2016-2020; N = 6028) and ADNI (N = 287). In HRS, serum sTNFR1 was log-transformed (quartiles); in ADNI, CSF sTNFR1 was analyzed. Global cognition included word recall, serial 7 s, and counting backwards. In ADNI, cognition was measured by the Clinical Dementia Rating-Sum of Boxes (CDR-SB); CSF total tau/phosphorylated tau and longitudinal MRI regional volumes were analyzed. Associations were estimated with linear and linear mixed-effects models adjusted for demographic, clinical, and genetic covariates including apolipoprotein E ε4 (APOE ε4). Incident mild cognitive impairment (MCI)/dementia was modeled with cause-specific Cox and Fine-Gray models. Incremental prediction used optimism-corrected change in area under the curve (AUC; ΔAUC), net reclassification improvement (NRI)/integrated discrimination improvement (IDI), calibration, and decision curve analysis. MR used genome-wide association study (GWAS) statistics to test effects of genetically proxied sTNFR1 on MRI-derived regional volumes. In HRS (follow-up 4 years), higher serum sTNFR1 was associated with lower baseline cognition and faster decline in global cognition (β = - 0.16/year). Higher sTNFR1 predicted MCI/dementia (Cox HR ≈ 1.17; Fine-Gray sHR ≈ 1.14); among cognitively normal individuals, risk was elevated (OR = 1.30; 95% CI, 1.03-1.63). Adding sTNFR1 to 2- and 4-year prediction models conferred small discrimination gains after internal validation (ΔAUC ≤ 0.003) and minimal or inconsistent net clinical benefit. In ADNI, higher CSF sTNFR1 was associated with greater CSF total tau and phosphorylated tau, and predicted accelerated caudate atrophy. Exploratory MR suggested a nominal association with reduced right inferior temporal volume, limited by instruments. sTNFR1 is associated with cognitive decline and tau-related selective neurodegeneration, but provides limited incremental predictive value beyond established risk factors; external validation and replication are warranted. Show less

This study developed and validated a continuous metabolic syndrome (MetS) risk score (msRS) for adolescents and evaluated its clinical utility in identifying multiple clinical cardiovascular markers (CCMs) using dual adolescent populations. Adolescents aged 12‒18 from two stratified random samples were used: the nationwide Nutrition and Health Survey in Taiwan (NAHSIT, n = 1920) for development and the Adiposity‒Cardiovascular Disease Axis study in Southern Taiwan (adiCards, n = 3295) for validation. Four sex-and-age-specific msRS were developed through confirmatory factor analysis (CFA) utilizing five MetS components-waist circumference, high-density lipoprotein cholesterol, triglycerides, fasting glucose, and mean arterial pressure. Their discriminatory ability for clinical outcomes was validated using the area under receiver operating characteristic (AU-ROC) curve. The msRS demonstrated exceptional capability in detecting MetS in NAHSIT and adiCards cohorts (AU-ROCs: 0.954‒0.969). Adjusted for covariates, msRS explained higher variability in body-fat percentage, apolipoproteins B/A1, and homeostatic model assessment of insulin resistance (HOMA-IR) than binary MetS and abnormal components count (partial R The CFA-derived sex-and-age-adjusted msRS scheme provides an improving measure to assess and manage adolescent cardiometabolic health. Adolescent MetS components share a latent metabolic construct. A scoring system through confirmatory factor analysis captures sex-and-age specific metabolic heterogeneity. Continuous risk score accurately discriminates pediatric MetS. MetS risk score effectively detects pediatric cardiovascular risk. Consideration of population characteristics is essential when developing a continuous MetS score. Show less

Encapsulation of Lactiplantibacillus plantarum (L. plantarum) ZGP-Lpl.19 in alginate-pectin-chitosan microcapsules significantly improved its survival under simulated gastrointestinal conditions and attenuated Shigella flexneri (S. flexneri) growth and pathogenicity through downregulation of the mdoH and IcsA virulence genes. Microencapsulation was achieved via extrusion using a polysaccharide blend, yielding an encapsulation efficiency of 98.44%. Structural integrity of the microcapsules was confirmed by scanning electron microscopy (SEM) and Fourier-transform infrared spectroscopy (FTIR). Encapsulation markedly enhanced probiotic survivability, with viable counts of 5.37 log CFU/mL after 60 min in gastric fluid and 120 min in intestinal fluid, compared with 2.25 log CFU/mL for free cells. Both encapsulated and free L. plantarum ZGP-Lpl.19 demonstrated potent antimicrobial activity against S. flexneri ATCC 12022, with comparable antimicrobial metabolite production. The minimum inhibitory concentration (MIC) of cell-free supernatants from both forms was 1/8 of the original concentration. Importantly, real-time PCR analysis confirmed that both encapsulated and free cells significantly downregulated mdoH and IcsA expression. Overall, these findings demonstrate that alginate-pectin-chitosan microencapsulation provides effective protection for L. plantarum and enhances its functional delivery, positioning encapsulated L. plantarum as a promising therapeutic strategy to mitigate S. flexneri infections. Show less

The spatial progression of longitudinal tau pathology has been inferred using cross-sectional data, but longitudinal voxel-wise analyses allow these patterns to be established without inference. We pooled 1426 flortaucipir (FTP) positron emission tomography (PET) scans from 583 participants across the aging and Alzheimer's disease (AD) spectrum from four studies. Using longitudinal tau-PET slope maps, we examined tau accumulation by clinical group and its associations with participant characteristics, baseline beta-amyloid (Aβ), and tau. Tau accumulation was limited to temporoparietal cortices in unimpaired participants but widespread in patients. Baseline Aβ, entorhinal, and inferior temporal tau predicted progressively more severe tau accumulation patterns. Age, sex, and apolipoprotein E (APOE) ε4 had modest moderating effects. Aβ and early tau interactions showed synergistic effects. Greater tau accumulation was linked to worse follow-up cognition than baseline. While Aβ influences early tau progression, baseline tau drives later progression. These results may guide future trials targeting tau accumulation at different disease stages. Faster tau spread from temporal to frontal lobes was linked to clinical impairment. Global beta-amyloid (Aβ), entorhinal, and inferior temporal gyrus (ITG) tau predicted progressively worse tau accumulation. Age, sex, and apolipoprotein E (APOE) had minimal effects on tau accumulation. Aβ and early tau burden interact synergistically to drive tau accumulation. More severe tau accumulation was linked to worse cognition at follow-up than baseline. Show less

Sex differences in Alzheimer disease (AD) neuropathology have not been examined extensively across multiple pathological constructs within broadly representative samples. To examine sex differences in neuroimaging biomarkers of AD-related pathologies in a racially and ethnically diverse cohort. Data for this cross-sectional study were collected from a community-based sample of adults without cognitive impairment aged 60 to 69 years in New York City from March 1, 2016, to September 31, 2022, and analyzed in March 2025. The primary exposure was self-reported sex (women or men). The outcomes were global amyloid burden measured with florbetaben labeled with fludeoxyglucose 18 (18F) positron emission tomography (PET), tau burden in Braak stages I to VI measured with 18F-MK-6240 PET, and magnetic resonance imaging (MRI)-derived AD signature cortical thickness and white matter hyperintensity volumes. Linear regression analyses were performed to examine sex differences in the outcomes. Covariates included demographics, APOE ε4 status, and vascular health-related factors. Sex × age, sex × APOE ε4, and sex × race and ethnicity interactions were additionally examined on the outcomes. False discovery rate (FDR) correction for multiple comparisons were also performed. A total of 503 participants (mean [SD] age, 64.6 [2.8] years; 321 [63.8%] women; 305 [60.6%] Hispanic, 120 [23.9%] non-Hispanic Black, and 78 [15.5%] non-Hispanic White) with Aβ PET, MRI (n = 501), and tau PET (n = 355) data were studied. Compared with men, women had greater amyloid burden (B = 0.05; 95% CI, 0.02-0.07; P < .001), Braak stages III and IV (B = 0.05; 95% CI, 0.02-0.08; P = .003) and Braak stages V and VI (B = 0.09; 95% CI, 0.06-0.12; P < .001) tau burden, and AD signature thickness (B = 0.04; 95% CI, 0.02-0.05; P < .001). A significant sex × APOE ε4 interaction was observed, with women showing greater Braak stages I and II (B = 0.15; 95% CI, 0.04-0.25; P = .006) and Braak stages III and IV (B = 0.08; 95% CI, 0.02-0.14; P = .01) tau burden than men among APOE ε4 carriers. All findings remained statistically significant after FDR correction. No significant sex × age or sex × race and ethnicity interactions were observed on any outcome. This cross-sectional study of community-based adults found greater AD pathology yet better preserved structural brain integrity in women compared with men. Sex differences in tau burden across early to middle Braak stages were more pronounced among APOE ε4 carriers compared with noncarriers. These findings were not modified by age or race and ethnicity. Overall, the results underscore sex-specific distinctions in AD pathology burden and brain structure at the cross-sectional level. Show less

A single session of vagus nerve stimulation (VNS) has been shown to improve cognition in male rodents, but the influence of sex on the effects of VNS on behavior and synaptic plasticity are poorly understood. The present study investigated cognitive performance and hippocampal (HC) electrophysiology/brain derived neurotrophic factor (BDNF) expression in female healthy adult rats to examine changes in cognition and synaptic plasticity after VNS paired training. A total of 44 female rats were utilized for the cognitive neurobehavior experiments and a total of 68 female rats were utilized for the electrophysiology experiments. Animals were divided into four groups: SHAM in diestrus (SHAM-D), SHAM in estrus (SHAM-E), VNS in diestrus (VNS-D), and VNS in estrus (VNS-E). Electrode wires were surgically implanted around the left cervical vagus nerve (VN) prior to stimulation and experimentation in female Sprague–Dawley rats. A single 30 min session of VNS (100 µs biphasic pulses, 30 Hz, 0.8 mA) was administered after neurobehavior training in a Novel Object Recognition (NOR) and a Passive Avoidance Task (PAT) and testing was performed 24 h after VNS. Electrophysiology recordings for input/output, long-term potentiation, spontaneous spiking, and paired-pulse facilitation (PPF) were collected 90 min after VNS to assess the functional effects of VNS on HC slices. Immunohistochemistry (IHC) was conducted on HC slices collected 48 h after VNS to quantify HC subregion specific changes in BDNF. Stimulated rats exhibited improved performance in the PAT when tested in the diestrus phase. Among all subjects, VNS increased response amplitude and decreased PPF. However, among those in diestrus VNS increased long-term potentiation (LTP) amplitude and frequency of spontaneous spiking, and decreased PPF in the CA1. Among those in estrus, VNS did not change LTP amplitude or PPF, but frequency of spontaneous spiking was increased. VNS and estrous cycle stage additionally influenced the HC expression of BDNF in the CA1 and CA2. These findings suggest that a single session of VNS can increase synaptic plasticity, but that an interaction between estrous cycle phase and VNS influences the effects of VNS in females. This study is among the first to investigate the influence of estrous cycle phase on cognitive neurobehavior and synaptic plasticity outcomes after VNS and contributes to the understanding of VNS-induced cognitive enhancement. The online version contains supplementary material available at 10.1186/s42234-025-00196-3. Show less

Alzheimer disease (AD) is a primary neurodegenerative disorder of the brain with an unknown cause and complex pathogenesis. It is the most common form of dementia and poses a significant threat to the health of the aging population worldwide. However, effective pharmacological treatments remain limited. This study employed publicly available genome-wide association study summary statistics, which included 4907 plasma proteins as exposures and AD as the outcome. To explore the causal relationship between plasma proteins and AD, 5 Mendelian randomization (MR) analyses were applied. Heterogeneity in the results was assessed using the Cochrane Q test. Horizontal pleiotropy was evaluated through the MR-Egger intercept test. Sensitivity analysis was conducted using a leave-one-out approach. Plasma proteins exhibiting significant associations with AD were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses to elucidate their biological functions and pathways. The protein-protein interaction network was constructed via the STRING database, and hub genes were identified based on node degree and visualized with Cytoscape. Potential drug candidates targeting these hub genes were predicted via the Drug Signatures Database. The binding affinities of the candidate drugs to the hub gene-encoded proteins were subsequently validated through molecular docking via the CB-Dock2 platform. Finally, the expression patterns of the hub genes across various cell types were explored via single-cell sequencing analysis, and an external GEO validation dataset was established for verification. MR analysis revealed that 39 plasma proteins were significantly associated with AD. Functional and pathway enrichment analyses revealed that these proteins were predominantly enriched in the nuclear factor-κB signaling pathway. Further screening identified 10 hub genes: APOE, CSF3, TNFAIP3, PHGDH, PEBP1, MICB, LGMN, TGM1, CD55, and CCL21. The Drug Signatures Database predicted 5 potential drug candidates. Molecular docking analysis demonstrated strong binding affinities between these drug candidates and the hub genes. Single-cell sequencing analysis revealed that most hub genes presented elevated expression levels in oligodendrocytes. The results of the MR analysis were consistent with those of the external validation set, underscoring the reliability of this study. Through MR analysis, this study systematically identified 10 hub genes associated with AD and predicted 5 potential drug candidates. These findings offer novel insights into the molecular mechanisms underlying AD and may contribute to improved strategies for clinical diagnosis and targeted therapy. Show less

Radiotherapy (RT) for breast cancer may increase atrial fibrillation (AF) risk. This study explored the association between RT and expression of AF-related genes in breast tumor tissues. A total of 1094 breast cancer patients (RT group: 1020; non-RT group: 74) were included based on inclusion criteria. Clinical data and RNA-seq profiles (TPM) were retrieved. Six AF-related genes (MYBPC3, LMNA, PKP2, FAM189A2, KDM5B, MYL4) were analyzed. Gene expression was compared using Wilcoxon rank-sum test after Log2(TPM + 1) transformation. Subgroup analyses were conducted by AJCC stage (I–III), laterality (left/right), age (< 65/≥65 years), clinical subtype (Luminal, HER2-positive, Triple-negative), and PAM50 molecular subtype (Basal, Her2, LumA, LumB, Normal). Multivariate linear regression was applied to evaluate RT’s independent effect on gene expression. In tumor tissues, expression levels of MYBPC3, LMNA, and MYL4 were significantly higher in the RT group compared to the non-RT group.Subgroup analysis revealed higher MYBPC3 expression in the RT group specifically in Stage III tumors, but lower expression in left-sided tumors and in patients < 65 years old. LMNA expression was higher in the RT group in Stage III tumors. MYL4 expression was higher in the RT group in Stage II tumors, in both left and right-sided tumors, and in both age groups (< 65 and ≥ 65 years). No significant differences were found across clinical or molecular subtypes for any gene.Multivariate regression confirmed RT as an independent predictor of increased MYL4 expression (β = 0.204), but not for MYBPC3 or LMNA expression. Sensitivity analysis in the 45–65 age subgroup supports the above findings. Based on tumor tissue analysis, breast cancer radiotherapy is associated with altered expression of AF-related genes (particularly MYL4) in tumor tissues, suggesting a potential molecular link worthy of further exploration in relation to atrial fibrillation. These findings warrant future validation in cardiac or circulatory tissues. The online version contains supplementary material available at 10.1007/s12672-026-04468-5. Show less

G9A, a histone methyltransferase that facilitates H3K9 dimethylation, has been implicated in the epigenetic regulation of vascular processes. This study encapsulates its involvement in the calcification and stability of atherosclerotic plaques, further investigating its interaction with bone morphogenetic protein 2 (BMP2), a pivotal factor in vascular calcification, unveiling that G9A fosters plaque calcification and instability via the BMP2 signaling pathway. The progression of unstable plaques, histone methylation status, and vascular calcification incidence were monitored in the carotid plaques of ApoE In ApoE Our findings indicate that G9A amplifies vascular calcification through the activation of Bmp2 signaling, a fundamental mediator of vascular calcification. The relationship between vascular calcification and the emergence of unstable plaques may be intricately associated with histone methylation. Show less

The development of nucleic acid therapeutics using non-viral delivery systems requires efficient payload delivery to target organs for higher potency and tolerability. While lipid nanoparticle (LNP) formulations influence biodistribution, cellular uptake, and therapeutic efficacy, underlying mechanisms remain incompletely understood. This study develops potent mRNA-LNP formulations and investigates determinants of liver tropism using ornithine transcarbamylase (OTC) deficiency as a protein replacement therapy model. Systematic screening of ionizable and helper lipids, optimization of composition and process, and biophysical characterization identify a liver-tropic helper lipid-1,2-dierucoyl-sn-glycero-3-phosphoethanolamine (DEPE) that modulates LNP structure and apolipoprotein E (ApoE) binding, enhancing liver-specific delivery. Analysis of ionizable lipid chemistry reveals its role in cellular uptake mechanisms, leading to the identification of a novel ionizable lipid designed with N-(2-Hydroxyethyl)piperazine-N'-(4-butanesulfonic acid) (HEPBS) core that enables efficient delivery independent of the low-density lipoprotein receptor (LDLR) pathway. The optimized formulation achieves robust dose responsiveness, sustained therapeutic expression, and favorable tolerability in preclinical models. Therapeutic levels of OTC protein expression are observed with minimal toxicity, as indicated by stable liver function markers and cytokine levels. These findings provide mechanistic insights and establish a platform for mRNA-based protein replacement therapies, supporting broader applications in rare genetic diseases requiring hepatic gene expression. Show less

BackgroundRecent animal studies have revealed STING (Stimulator of interferon genes) as a potential key player in Alzheimer's disease (AD). The actual impact of human STING on AD, however, is unknown. Mouse STING studies were done in Show less

This study investigated the relationship between apolipoprotein B (apoB), "excess apoB" (apoB beyond low-density lipoprotein cholesterol (LDL-C)), and apoB/apolipoprotein A1 (apoA1) ratio with 20-year atherosclerotic cardiovascular disease (ASCVD) incidence, using an age- and sex-specific approach. In 2002, a cohort of 3042 adults, free of cardiovascular disease (CVD) residing in the greater Athens area (Greece) was recruited. A 20-year follow-up was conducted in 2022, comprising of 2169 participants, of whom 1988 had complete data for CVD incidence. Cox proportional hazards models were used to assess the association of apoB, excess apoB, and apoB/apoA1 with 20-year ASCVD risk and residual risk (events not predicted by standard factors). Older participants and males had higher levels of apoB, excess apoB, and apoB/apoA1. In the overall cohort, only apoB was significantly associated with ASCVD risk (hazard ratio (HR), 1.006; p = 0.003). However, age- and sex-dependent associations were observed as apoB, excess apoB, and apoB/apoA1 significantly predicted increased ASCVD incidence only in males under 40 years (HR 1.025, p = 0.005; 1.052, p = 0.003; 1.396, p = 0.002; respectively). Significant associations were observed with residual ASCVD risk in the overall cohort, with the most pronounced associations seen in males under 40 (HR 1.023, p = 0.001; 1.039, p < 0.001; 1.285, p = 0.002; respectively). The association of apoB, excess apoB, and apoB/apoA1 with long-term ASCVD incidence and residual risk demonstrates age- and sex-dependent variations, with younger males showing elevated risk, highlighting the value of these markers beyond traditional risk factors and emphasizing the need for age- and sex-specific considerations in ASCVD risk assessment. Show less

Bergamottin is a natural furanocoumarin compound that possesses antioxidative and anticancer properties. However, the effect of bergamottin (BGM) on acute kidney injury (AKI) is unknown. Human renal tubular HK-2 cells and mice that received cisplatin were pretreated with BGM, after which their cytotoxicity and renal function were evaluated. BGM pretreatment alleviated cisplatin-induced cytotoxicity Show less

Lipoprotein(a) [Lp(a)] is a genetically determined risk factor for atherosclerotic cardiovascular disease (ASCVD) and calcific aortic valve stenosis (CAVS), with plasma levels largely unaffected by lifestyle modification or conventional lipid-lowering therapy. Although international guidelines increasingly recognize Lp(a) as a risk-enhancing factor, in many Asian populations thresholds for high Lp(a) and treatment strategies remain undefined. This Korean position paper, developed by the Lp(a) Task Force of the Korean Society of Lipid and Atherosclerosis, presents an evidence-based summary of the pathophysiology, clinical relevance, and therapeutic landscape surrounding Lp(a), with a focus on Korean-specific data. It reviews the genetic architecture of Lp(a), ethnic variability in concentrations, and its mechanistic roles in inflammation, thrombosis, and calcification. Based on large Korean cohorts, a 3-tiered classification is proposed of normal (<30 mg/dL), borderline high (30-49 mg/dL), and high (≥50 mg/dL), harmonizing global thresholds with local data. The document also highlights the limitations of current Lp(a) assays in Korea, and calls for standardized, isoform-insensitive testing. Novel therapeutics, including antisense oligonucleotides, small interfering RNAs, and small molecular inhibitors, have shown promising Lp(a)-lowering effects, with multiple phase 3 trials currently ongoing, or in planning. Given the unmet clinical need, the paper recommends incorporating Lp(a) into cardiovascular risk assessment, and calls for Korean-specific longitudinal studies, national screening strategies, and participation in clinical trials. These efforts will help clarify Lp(a)-associated risk in Korean patients and guide the adoption of future targeted therapies. Show less

Alzheimer's Disease (AD), a leading cause of dementia, is a known neurodegenerative disorder. Affecting millions of people worldwide, AD pathogenesis involves diverse risk factors such as lifestyle, environmental, and metabolic conditions that accelerate sporadic AD. Very recently, backed with substantial evidence, herpes simplex virus-1 (HSV-1) has been recognized as a potential causative factor that may play a pivotal role in sporadic AD. Latent virus is estimated to activate key underlying pathways, preferably Aβ and p-tau, to cause AD. Additionally, Antivirals such as Valacyclovir have emerged to impart a potential neuroprotective role in AD. Present research aimed to explore the neuroprotective role and mechanism of Valacyclovir in the streptozotocin-induced Alzheimer's disease model in rats. A single dose of 3 mg/kg ICV (intracerebroventricular) Streptozotocin (STZ) was administered to induce AD in rats. Two doses of Valacyclovir, i.e., 100 mg/kg and 150 mg/kg were evaluated with Donepezil 5 mg/kg as standard. Post 21 days of treatment, Valacyclovir demonstrated dose-dependent improvement in neurobehavioral parameters. Further, AD-specific parameters i.e. Aβ1-40 and Aβ1-42, p-tau, and BACE-1 were significantly (p < 0.001) reduced with parallel reduction in inflammatory (p < 0.001) and oxidative stress markers. Additionally, Valacyclovir also increased the levels of amyloid clearance enzymes i.e., neprilysin (NEP) (p < 0.001) and insulin-degrading enzyme (IDE) (p < 0.001). Results suggest promising neuroprotective action of valacyclovir via reducing Aβ-amyloid protein, p-Tau, BACE-1, as well as demonstrating anti-inflammatory and antioxidant activity. Show less

To explore the association between apolipoprotein E (APOE) gene polymorphisms and the risk of premature (age of onset: men ≤ 55 years old, women ≤ 65 years old) myocardial infarction (PMI). This study retrospectively collected the medical records (age, gender, hypertension, diabetes mellitus, smoking, drinking, and serum lipid) of 379 PMI patients and 628 age-matched non-AMI individuals (controls), from December 2018 to March 2024. The relationship between APOE polymorphisms and PMI was analyzed. 15(1.5%) individuals carried ɛ2/ɛ2, 147(14.6%) had ɛ2/ɛ3, 16(1.6%) presented with ɛ2/ɛ4, 670(66.5%) were ɛ3/ɛ3 carriers, 149(14.8%) had ɛ3/ɛ4, and 10 (1.0%) carried ɛ4/ɛ4. The proportion of ɛ2/ɛ3 genotype was significantly lower in the PMI group than in controls (7.7% vs. 18.8%, p < 0.001), whereas the prevalence of ɛ3/ɛ4 genotype was substantially higher in the PMI group (20.6% vs. 11.3%, p < 0.001). Logistic regression analysis identified some associated factors: smoking (odds ratio [OR]: 3.057, 95% confidence interval [CI]: 2.098-4.455, p < 0.001), hypertension (OR: 4.474, 95% CI: 3.273-6.117, p < 0.001), and dyslipidemia (OR: 1.805, 95% CI: 1.333-2.443, p < 0.001). Additionally, genetic factors were associated with PMI: the APOE ɛ3/ɛ4 genotype (vs. ɛ3/ɛ3, OR: 1.548, 95% CI: 1.038-2.309, p = 0.032) and the presence of ɛ4 allele (vs. ɛ3, OR: 1.521, 95% CI: 1.033-2.241, p = 0.034) were confirmed as independent associated factors. APOE ε3/ε4 genotype was significantly associated with PMI, suggesting that this genotype could serve as a potential genetic marker for PMI risk assessment. Show less

"SuperAgers" are oldest-old adults (ages 80+) whose memory performance more closely resembles middle-aged adults. The present study examined apolipoprotein E (APOE) allele frequency in non-Hispanic Black (NHB) and non-Hispanic White (NHW) SuperAgers compared to controls and Alzheimer's disease dementia cases. In 18,080 participants from eight cohorts, harmonized clinical diagnostics and memory, executive function, and language domain scores were used to identify SuperAgers, cases, and controls across age-defined bins. NHW SuperAgers had significantly lower frequency of APOE-ε4 alleles and higher frequency of APOE-ε2 alleles compared to all cases and controls, including oldest-old controls. Similar patterns were found in a small yet substantial sample of NHB SuperAgers; however, not all comparisons with controls reached significance. We demonstrated strong evidence that APOE allele frequency relates to SuperAger status. Further research is needed with a larger sample of NHB SuperAgers to determine if mechanisms conferring cognitive resilience differ across race groups. Apolipoprotein E (APOE) allele frequency differs between SuperAgers and cases APOE allele frequency differs between non-Hispanic White SuperAgers and controls The relationship of APOE and non-Hispanic Black SuperAger status is unclear. Show less

Longevity and muscle strength are heritable traits, and age-related muscle weakness is a major contributor to disability in older adults. However, the susceptibility genes and shared genetic mechanisms underlying lifespan and sarcopenia remain unclear. This study aimed to identify genes associated with longevity and muscle weakness and to characterize their shared genetic architecture. We integrated the largest genome-wide association studies (GWAS) on longevity (age > 90th: n = 11 262 cases; age > 99th: n = 3484 cases) and muscle weakness (European Working Group on Sarcopenia in Older People (EWGSOP): n = 48 596 cases; Foundation for the National Institutes of Health (FNIH): n = 20 335 cases) with Genotype-Tissue Expression (GTEx) v8 multi-tissue expression quantitative trait locus (eQTL) data. Gene-trait associations were evaluated using multi-tissue and single-tissue TWAS, and validated using Multi-marker Analysis of GenoMic Annotation (MAGMA). Mendelian randomization (MR) and colocalization were applied to test causality and shared variants. Cross-trait genetic correlation was estimated with LDSC, and pleiotropic loci were identified by pleiotropy analysis under the composite null hypothesis (PLACO) followed by Functional Mapping and Annotation (FUMA)/MAGMA annotation. Across TWAS approaches, APOC1 and TOMM40 were identified as longevity-associated genes, while DYM and TGFA were susceptibility genes for muscle weakness. In MR analysis, higher expression of APOC1 and TOMM40 increased the odds of longevity (OR > 1, p < 0.05), whereas higher expression of DYM and TGFA reduced the risk of muscle weakness (OR < 1, p < 0.05). Colocalization supported shared causal variants for APOC1 (rs429358, PP.H4 = 0.81) and TOMM40 (rs429358, PP.H4 = 0.85) with longevity (age > 90th survival percentile), and for DYM and TGFA with muscle weakness defined by both EWGSOP and FNIH (PP.H4 > 0.80). A significant negative genetic correlation was observed between longevity and muscle weakness (Rg < 0, p < 0.05). Cross-trait pleiotropy analysis identified several pleiotropic genes (PVRL2, PPP1R9A, SLC39A8 and the TOMM40/APOE/APOC1 gene cluster) that influence both longevity and muscle weakness. We identified susceptibility genes for longevity (APOC1, TOMM40) and muscle weakness (DYM, TGFA) and uncovered shared pleiotropic loci linking aging and muscle decline. These findings improve the understanding of the genetic architecture underlying aging-related phenotypes and provide potential molecular targets for promoting healthy aging and reducing late-life disability. Show less

The discovery of dual acetylcholinesterase (AChE) and β-secretase (BACE1) inhibitors remains a promising strategy against multifactorial Alzheimer's disease. Here, rigorously curated ChEMBL-derived data were used to develop explainable QSAR (Quantitative structure-activity relationship) models for dual-inhibition prioritization. Molecules were standardized, near-duplicates were removed using a Tanimoto similarity threshold (≥ 0.80), and physicochemical outliers were filtered prior to modeling. Multiple classifiers (including Light Gradient-Boosting Machine, eXtreme Gradient Boosting, Random Forest, Support Vector Machine, k-Nearest Neighbors and Gradient Boosting Decision Trees) and fingerprints (e.g., RDKit fingerprints, Extended Connectivity Fingerprint) were benchmarked under scaffold-based nested cross-validation to prevent data leakage. Class imbalance was handled with SMOTETomek applied strictly within training folds. Model selection relied on F-Score, Area Under the Precision-Recall Curve, Matthews Correlation Coefficient (MCC), and Recall, and performance was accompanied by bootstrap confidence intervals, calibration curves, and Y-randomization controls. In classification, the top model (GBDT + ECFP6) achieved strong generalization (Recall ≈ 1.00, PR-AUC ≈ 0.84, MCC ≈ 0.81, F1 Score ≈ 0.84). Shapley Additive Explanations (SHAP) analysis highlighted aromatic and hydrogen-bonding substructures as key positive contributors. Prospective candidates (e.g., CHEMBL5082250, CHEMBL1651126, CHEMBL1651127) were evaluated by active-site-focused docking against AChE (PDB: 4EY7) and BACE1 (PDB: 2G94) with essential waters retained; docking scores (ΔG, kcal·mol⁻ Show less