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Primary resistance to chimeric antigen receptor (CAR) T-cell therapies has limited their widespread application. Our prior genome-wide CRISPR/Cas9 screening revealed that the loss of CD58, a crucial intrinsic resistance factor in tumors, resulted in insufficient immune synapse formation and impaired CAR T-cell activation and cytotoxicity. However, the specific signaling pathway and transcriptional changes associated with CAR T-cell dysfunction have not been addressed. Here, we revealed that AP-1-mediated activation was attenuated in CAR T cells impaired by tumor CD58 loss, driving a decrease in mitochondrial biogenesis, metabolic kinetic impairment, mitochondrial membrane potential loss and ROS accumulation. Moreover, this AP-1 attenuation triggered death receptor-independent apoptosis through the intrinsic mitochondrial pathway. In seeking therapeutic strategies, we pharmacologically and genetically blocked three distinct inhibitory phosphatases positioned upstream of AP-1 signaling. Multifaceted validation has demonstrated that dual specificity phosphatase 6 (DUSP6) blockade is an effective approach to supplement AP-1 signaling while notably reducing CAR T-apoptosis and enhancing mitochondrial fitness, proliferation and long-term cytotoxicity. The transcriptomic profiles of DUSP6-ablated CAR T cells revealed markedly upregulated T-cell activation signatures and enriched metabolic pathways. Clinically, bulk and single-cell RNA-seq analyses revealed that DUSP6 was downregulated in patients who responded to T-cell-based immunotherapy, implying its relevance to patient outcomes. Our findings repositioned CD58 not merely as an immune synapse component but also a metabolic checkpoint in CAR T-cell biology, the loss of which triggers AP-1-dependent mitochondrial derangement and creates a permissive landscape for intrinsic apoptosis, which can be ameliorated by ablation of the inhibitory phosphatase DUSP6. Crucially, DUSP6 ablation represents a promising engineering target to potentiate CAR T-cell efficacy in broader applications. Show less

Atherosclerosis presents a persistent health challenge, with limited therapies addressing residual cardiovascular risk. Gualou Xiebai Banxia Decoction (GXBD), a classical Chinese herbal formula traditionally used for chest obstruction syndromes, was evaluated as a dietary-style intervention in ApoE Show less

This study aims to construct a prognostic model for hepatocellular carcinoma (HCC) based on palmitoylation-related genes and explore its molecular mechanisms through multi-dimensional analyses. The research integrated single-cell transcriptome data (GSE189903) with bulk transcriptome data (TCGA-LIHC, GEO datasets), focusing on palmitoylation-related genes in HCC epithelial cells. The scAB deconvolution algorithm was used to analyze the association between epithelial cell subsets and patient survival, and hdWGCNA was combined to construct a gene co-expression network. Through differential expression analysis, univariate Cox regression, and LASSO penalized regression, 7 key genes (SERPINE1, FMO3, ALDH2, CPS1, SLCO1B1, ACAT1, ACADS) were identified to build a prognostic risk model. Validation results showed that the model could effectively distinguish the survival prognosis of high-risk and low-risk patients (AUC values for 1/3/5 years in the TCGA cohort were 0.676, 0.656, and 0.642, respectively; those in the GSE14520 validation set were 0.702, 0.658, and 0.654, respectively), and the risk score was an independent prognostic factor. Further analyses revealed that the risk score was associated with tumor staging, immune cell infiltration (e.g., T cells, monocytes), response to immunotherapy, and drug sensitivity. Functional enrichment analysis indicated that the high-risk group was enriched in cell cycle regulation and oncogenic signaling pathways, while the low-risk group was related to metabolic pathways. This study is the first to analyze the regulatory network of palmitoylation in HCC epithelial cells by combining single-cell and bulk transcriptomes, providing new molecular targets and methodological references for HCC prognosis evaluation and precision therapy. Show less

Apoptosis plays a significant role in osteoporosis (OP), yet a causal relationship between apoptosis gene expressions and OP remains unexplored. This study applies an integrated multi-omics analysis to establish causality between them, offering clinical treatment and prediction insights. Apoptosis-related genes are sourced from GeneCards, and 6 transcriptomic datasets from the cells in the circulation are obtained from GEO. Meta-analysis integrated differentially expressed apoptosis-related genes (DEGs) from the above 6 datasets. Causality between gene expressions, epigenetic changes, and OP is examined using OP genome-wide association study (GWAS), plasma expression quantitative trait loci (eQTL), and methylation quantitative trait loci (mQTL) data, while analysis of skeletal muscle eQTL and OP GWAS data is conducted. External validation is performed with the UK Biobank datasets. Meta-analysis of 6 GEO datasets identified 384 DEGs, including 78 apoptosis-related genes. The three-step analysis indicates 8 candidate causal genes in blood, including MAP3K3, DPP8, RPL3, PPP2CA, CD86, LRRFIP1, TRAP1, and DUSP6, with LRRFIP1 influenced by four methylation sites. Analysis of skeletal muscle data reveals 4 causal genes, including SIPA1L3, PDLIM7, CTNNB1, and DPP8. Among apoptosis-related genes causally linked to OP in both circulation and skeletal muscle, LRRFIP1 was validated based on methylation-associated regulation and demonstrated consistent, reproducible expression patterns. This study uses a multi-omics strategy to clarify the roles of apoptosis-related gene expressions and their corresponding methylation in OP, providing targets and a basis for early diagnosis, personalized treatment, and monitoring of OP. Show less

Glucagon-like peptide-1 (GLP-1) is an incretin hormone secreted by intestinal endocrine L cells that activates the GLP-1 receptor (GLP-1R), leading to glucose-dependent insulin secretion and suppression of glucagon release. In recent years, GLP-1R agonists (GLP-1RAs) have become one of the leading therapeutic options for the treatment of type 2 diabetes mellitus; however, for a long time clinically approved GLP-1RAs were limited to peptide drugs unsuitable for oral administration. The discovery of the "first-in-class" small molecule agonist danuglipron in 2018 demonstrated the feasibility of orally available GLP-1RAs and stimulated the development of numerous danuglipron-like compounds, some of which showed increased efficacy over the prototype. In this study, we report the design and synthesis of novel GLP-1RAs based on a regioisomeric danuglipron scaffold, 1 Show less

T2DM is characterized not only by chronic hyperglycemia but by a complex disturbance in triglyceride-rich lipoprotein (TRL) metabolism. Among the resulting lipid fractions, remnant cholesterol (RC) has emerged as a potentially independent atherogenic driver that persists despite optimal low-density lipoprotein cholesterol (LDL-C) control. Growing evidence suggests that RC integrates metabolic dysregulation, insulin resistance (IR), and inflammatory signaling, thereby contributing to the "residual risk" of vascular complications in DM. To evaluate whether RC functions as an independent atherogenic lipoprotein in T2DM and to assess its clinical implications for risk prediction and therapeutic targeting. This narrative review examined relevant cohort studies, genetic analyses, mechanistic experiments, and clinical trials published in the last decade with emphasis on RC definitions, measurement approaches, associations with macrovascular and microvascular outcomes, and therapeutic modulation. RC elevation in T2DM reflects impaired TRL clearance driven by IR, hepatic VLDL overproduction, and adipose lipolysis. Across large cohorts, RC consistently predicts incident T2DM, major cardiovascular events, renal deterioration, and peripheral arterial disease independent of LDL-C, triglycerides, HbA1c, and inflammatory markers. RC trajectories and visit-to-visit variability further strengthen risk discrimination, suggesting that dynamic fluctuations reflect underlying metabolic instability. Thresholds associated with vascular injury vary across populations (≈0.56-0.80 mmol/L). Therapeutically, high-intensity statins, EPA-based therapy, and emerging APOC3/ANGPTL3 inhibitors lower RC to varying degrees, yet outcome trials targeting RC specifically remain scarce. RC represents a distinct atherogenic entity in T2DM. Its strong and independent associations with cardiovascular and renal events position it as a critical, yet underrecognized, contributor to diabetic vascular risk. Incorporating RC into routine risk assessment and exploring targeted interventions may bridge the persistent gap between LDL-C lowering and actual event reduction. Future studies should prioritize standardized measurement, mechanistic elucidation, and randomized trials directly testing whether lowering RC can modify clinical outcomes. Show less

Gene editing technologies have revolutionized therapeutic development, offering potentially curative and preventative strategies for cardiovascular disease (CVD), which remains a leading global cause of morbidity and mortality. This review provides an introduction to the state-of-the-art gene editing tools-including ZFNs, TALENs, CRISPR/Cas9 systems, base editors, and prime editors-and evaluates their application in lipid metabolic pathways central to CVD pathogenesis. Emphasis is placed on targets such as Show less

Significant interindividual variability in radiosensitivity poses a major challenge to conventional radiation protection and radiotherapy. Current prediction strategies relying on DNA damage or genomic analysis have inherent limitations, underscoring the need for minimally invasive serum biomarkers. While serum apolipoproteins are crucial regulators of lipid transport, metabolism, and cellular stress response, their role as biomarkers for radiosensitivity remains largely unexplored. A 7.3 Gy ⁶⁰Co γ-ray whole-body irradiation mouse model (with training and independent validation cohorts) was established to assess individual radiosensitivity. Pre-irradiation peripheral serum samples underwent high-throughput proteomics analysis to identify differential proteins (DEPs) linked to 30-day post-irradiation survival. KEGG and GO enrichment analyses were conducted to characterize DEP-associated pathways. An XGBoost machine learning model was built using candidate biomarkers, with SHAP analysis to define their predictive contributions; Cox proportional hazards and Pearson correlation analyses were applied to evaluate survival associations. DIA-based proteomics identified 580 DEPs in the training cohort and 449 in the validation cohort. KEGG and GO enrichment analyses confirmed that these DEPs were predominantly enriched in the cholesterol metabolism and reverse cholesterol transport pathways. The predictive model based on an apolipoprotein panel (ApoA1/ApoA2/ApoA4), established using the XGBoost algorithm, exhibited exceptional performance in the training cohort (AUC = 1) and maintained robust generalizability in an independent validation cohort (AUC = 0.833). Compared with non-survivors, survivors exhibited significantly elevated serum levels of ApoA1 and ApoA2 but markedly reduced levels of ApoA4. Cox proportional hazards regression analysis established ApoA1 and ApoA2 as independent protective factors, whereas high ApoA4 expression was an adverse prognostic indicator. Notably, ApoA4 levels also demonstrated a strong negative correlation with post-irradiation survival time. The serum apolipoprotein profile (ApoA1/ApoA2/ApoA4) serves not only as a promising minimally invasive biomarker for predicting individual radiosensitivity in mice but also reveals a critical link between the cholesterol metabolic pathway and radiation response. This finding lays a theoretical foundation for translating predictive, cholesterol metabolism-related biomarkers to support radiation response assessments. Given the limitations of animal models, subsequent studies are required to validate the clinical applicability of this panel in human cohorts, with the aim of offering an effective tool for personalized radiation protection and precise radiotherapy. The online version contains supplementary material available at 10.1186/s12944-026-02868-8. Show less

Important pathophysiological characteristics of human tumors are the presence of hypoxia and of an extracellular acidosis. Both metabolic parameters can affect the malignant behavior of tumors but also the response to treatments. Here the modulation of the ERK1/2 signaling plays a relevant role. ERK1/2 activation is controlled by the dual-specificity phosphatase 6 (Dusp6) and by this modulates cellular processes. For this reason, the study analyzed the impact of hypoxia and/or extracellular acidosis on the expression of Dusp6. Several tumor cell lines were exposed to control conditions (room air, pH = 7.4), hypoxia (pO Show less

Allostatic load (AL), an index of cumulative physiological dysregulation from chronic stress, may contribute to Alzheimer's disease (AD) pathophysiology by accelerating brain aging. Higher AL has been associated with AD-related biomarkers, suggesting a mechanistic connection. Lifestyle factors influence both AL and AD vulnerability, but their moderating role in AL-AD biomarker associations remains unclear. We included 111 cognitively unimpaired older adults from the baseline visit of the Age-Well trial. AL was computed as a composite score of 18 biomarkers spanning neuroendocrine, immune, metabolic, cardiovascular-respiratory, and anthropometric systems. Plasma biomarkers included amyloid beta (Aβ)42, Aβ40, phosphorylated-tau (p-tau231), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL). Physical activity, Mediterranean diet adherence, and cognitive activity were assessed using validated questionnaires. Multiple linear regressions tested associations between AL and (1) AD-related biomarkers and (2) lifestyle factors, as well as their interactions, controlling for age, sex, education, apolipoprotein E ε4 (APOE ε4) status, and glomerular filtration rate (GFR). Higher AL was associated with higher Aβ42/Aβ40 ratio ( Regular physical activity was associated with a weaker relationship between AL and early AD-related biomarkers in this cross-sectional sample. Longitudinal studies should confirm whether maintaining physical activity attenuates stress-related physiological dysregulation and reduces AD vulnerability. Show less

Inflammation plays a large role in the etiology of the late onset, sporadic form of Alzheimer's disease (AD), yet these critical factors are not adequately modeled in mice where inflammatory mechanisms often differ widely from primates. In contrast, aging rhesus macaques offer a powerful translational model for investigating how advancing age and inflammation initiate early-stage pathology in sporadic AD, and for evaluating preventive therapeutic strategies. Unlike rodents, macaques possess highly developed association cortices with magnified calcium signaling, human-like inflammatory responses, and are naturally homozygous for ApoE-ε4-factors that together contribute to the spontaneous emergence of tau and amyloid pathology alongside cognitive decline. Critically, macaques allow the detection of early, soluble forms of hyperphosphorylated tau (pTau), including pT217Tau, which rapidly dephosphorylates postmortem and is rarely observable in human brain tissue outside of biopsies. New findings reveal that soluble pTau is neurotoxic and capable of propagating pathology across cortical networks, with elevated pT217Tau in plasma. Growing evidence points to age-related inflammatory signaling as a key driver of calcium dysregulation, which in turn promotes tau hyperphosphorylation, amyloid-β (Aβ) accumulation, synapse loss and autophagic degeneration. Both GCPII (glutamate carboxypeptidase II) and kynurenic acid inflammatory signaling have expanded roles in the primate association cortices that contribute to cognitive deficits. Pharmacological interventions in aged macaques demonstrate that targeting inflammation and restoring calcium homeostasis can significantly reduce pTau pathology with minimal side effects-highlighting a promising path for early intervention in AD. Show less

Alzheimer's disease (AD) disproportionately affects women and carriers of the apolipoprotein E ε4 allele (APOE4), yet little is known about how sex and APOE interact to influence white matter (WM) integrity during disease progression. We integrated diffusion MRI and matched blood transcriptomic data to investigate these interactions and their underlying biological mechanisms. WM microstructure was quantified using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI), and regional vulnerability was assessed with a composite vulnerability score (CVS) derived from associations between diffusion features and AD severity across clinical traits in each of the four sex-APOE groups (female or male, with or without APOE4). Brain parcellation with the Eve atlas revealed regions consistently affected across sex-APOE groups (e.g., parahippocampal and superior temporal gyri) and regions specific to individual groups (e.g., the cingulum in females with APOE4 and the middle frontal gyrus in males without APOE4). Gene co-expression network analysis of the matched blood expression data identified gene subnetworks linked to group-specific regional vulnerability, including a muscle tissue morphogenesis module regulated by NEURL1B and HIST1H2BN associated with middle frontal gyrus vulnerability. These findings demonstrate that sex and APOE genotype jointly shape region-specific WM vulnerability and its molecular signatures in AD. Understanding these interactions provides novel mechanistic insights and may inform precision approaches to drug development, biomarker discovery, and clinical trial design for AD. Show less

Probiotics are increasingly recognized for their health-promoting effects, yet their performance in unconventional fermentation systems such as halophyte-based substrates remains poorly understood. Halophytes, salt-tolerant plants rich in phenolics and other bioactive compounds, impose selective pressures that may favor robust and stress-tolerant microorganisms. In this study, we assessed the probiotic potential of selected lactic acid bacteria and yeast strains, including [Image: see text] Show less

Glycosylphosphatidylinositol-anchored high-density lipoprotein-binding protein 1 (GPIHBP1) is critical for transporting lipoprotein lipase (LPL) to the capillary lumen, where LPL breaks down triglycerides in triglyceride-rich lipoproteins. We herein report a 12-year-old Chinese girl who presented with severe hypertriglyceridemia and a recent diagnosis of systemic lupus erythematosus (SLE). She was first noted to have severe hypertriglyceridemia at 8.5 years old, complicated by three episodes of acute pancreatitis within 2 years. Between these episodes, her plasma triglycerides remained elevated, but at lower levels. Next-generation sequencing for primary hypertriglyceridemia yielded no significant findings. Investigations for secondary causes, to include fasting glucose, HbA1c, and thyroid function testing, were unrevealing. Given the fluctuating triglyceride levels and negative genetic testing for primary hypertriglyceridemia in the background of SLE, autoimmune hypertriglyceridemia was suspected. The diagnosis of GPIHBP1 autoantibody syndrome was confirmed by an elevated GPIHBP1 autoantibody titer and a low LPL mass in her serum. Her SLE was well controlled with immunosuppressants and belimumab. Fenofibrate and omega-3 fatty acids, which were initially prescribed for her hypertriglyceridemia, were later discontinued. The GPIHBP1 autoantibody and LPL mass normalized 2 years after diagnosis. This case illustrates hypertriglyceridemia caused by a rare disease entity associated with autoantibodies against the GPIHBP1 protein. This entity is worth considering after excluding genetic and common secondary causes of hypertriglyceridemia, particularly in a patient with a history of autoimmune disease. Show less

This study sought to identify neurotransmitter receptor-related genes (NR-RGs) that are critically involved in non-small cell lung cancer (NSCLC) through bioinformatics approaches. The TCGA-NSCLC dataset was utilized as the training cohort, while the GSE50081 dataset served as the validation cohort. NR-RGs were curated, and single-sample gene set enrichment analysis (ssGSEA) scores were computed. Subsequently, weighted gene co-expression network analysis (WGCNA) and functional enrichment analyses were conducted. A risk prediction model and a prognostic model were constructed based on identified gene signatures. Finally, a competing endogenous RNA (ceRNA) network was established, and gene expression levels were experimentally validated. 192 differentially expressed genes were identified as candidate NR-RGs. The risk model ultimately highlighted six genes: CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 as potential biomarkers. The prognostic model demonstrated robust predictive performance for patient outcomes. Immune infiltration analysis revealed a significant positive correlation between neutrophil abundance and the risk score. Expression analysis indicated that CPS1 and CALB2 were downregulated in NSCLC samples, whereas CDH17, NIPAL4, SOX2, and KREMEN2 were upregulated. The genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC, providing insights into their potential roles in disease progression and therapeutic targeting. Show less

G-quadruplexes (G4s) are non-canonical secondary nucleic acid structures with important biological implications in telomere elongation and gene expression. A large number of small molecules have been developed to bind and even covalently target these structures, enhancing the potency and duration of binding. Alternatively, peptide-based ligands have been studied and shown to offer several advantages, including high specificity, a modular design, and ease of synthesis. In this work, we describe a peptide-based methodology for covalent G4-targeting, based on the introduction of two photoactivatable moieties in a peptide derived from the RHAU helicase. Rational insertion of crosslinkers at different positions yielded nine different peptides, which were evaluated for their G4-stabilizing effect and alkylation potential. Moderate to high alkylation yields towards G4s were obtained. The G4 stabilizing potential drastically increased for N-terminal modifications of the RHAU18 peptide. This led to the design of a further series of peptides with varying N-terminal residues to gain insight in the stabilization potential of each single amino acid modification and provided a comprehensive study of the binding behaviour of modified RHAU peptides. Show less

Genetic variations within the Lipoprotein Lipase (LPL) gene have been shown to influence the risk of cardiometabolic diseases. However, their associations with cardiometabolic disease-related markers remain underexplored in Arab Qatari populations. Hence, we examined the association between a genetic risk score (GRS) based on three LPL single nucleotide polymorphisms (SNPs) and cardiometabolic indicators in a healthy Qatari population. A cross-sectional genetic association study was conducted using data from the Qatar Biobank population-based cohort, involving a sample of metabolically healthy Qatari adults (n = 6,919). The LPL-GRS was computed as the unweighted sum of risk alleles from three LPL SNPs: rs295 (C/A), rs301 (C/T), and rs320 (G/T). Associations between the GRS and metabolic markers were assessed using a generalized linear model, adjusting for age, sex, and body mass index. Individuals with high GRS (>5 risk alleles) showed a significant association with lower fat-free mass index values (β = -0.064, p = 0.029). In addition, a positive association was observed between GRS and fasting insulin levels (β = 0.035, p = 0.016). In addition, high GRS was significantly associated with lower high-density lipoprotein cholesterol (β = -0.025, p = 0.001) and higher triacylglycerol concentrations (β = 0.027, p = 0.0003) and systolic blood pressure (β = 0.007, p = 0.002), respectively. Our study shows that the LPL-GRS is associated with key cardiometabolic risk factors in this self-reported healthy Qatari population. These findings highlight the need for additional research to replicate these findings in independent and ethnically diverse cohorts, as well as the use of longitudinal studies to evaluate the predictive value of the GRS for future metabolic outcomes. Show less

This study aims to investigate the role of DUSP6 in thyroid cancer metastasis and elucidate its underlying molecular mechanisms. Immunohistochemistry were performed to explore the expression of DUSP6, IL-8 and PAD4 in papillary thyroid carcinoma (PTC) tissues and adjacent non-cancerous thyroid tissues. Effects of DUSP6 on the proliferation, apoptosis, migration, and invasion of thyroid cancer cell lines TPC-1 and IHH4 were performed through in vitro experiments. A rescue experiment was performed to verified DUSP6 regulated the migration and invasion of thyroid cancer cells TPC-1 and IHH4 through IL-8 and neutrophil extracellular traps (NETs) formation. In addition, in vitro cell experiments were conducted to analyze the regulation of NETs formation by DUSP6 through IL-8. Finally, the effect of sh-DUSP6 on the growth of thyroid cancer tumors in mice were conducted through in vivo experiments. DUSP6 expression was significantly upregulated in PTC tissues. Moreover, the expression of DUSP6 in tumor tissues of TPC patients is positively correlated with the expression of IL-8 and PAD4. Overexpression of DUSP6 promotes the proliferation, migration, and invasion of thyroid cancer cells (TPC-1 and IHH4) while inhibiting apoptosis. Conversely, silencing DUSP6 exerts opposing effects. Knockdown of IL-8 reverses the enhanced migratory and invasive capabilities induced by DUSP6 overexpression in these cell lines. NETs treatment enhances the migration and invasion of TPC-1 and IHH4 cells, whereas the application of sh-DUSP6 or sh-IL-8 counteracts this NETs-mediated promotion. Furthermore, DUSP6 overexpression facilitates NETs formation by upregulating IL-8 expression. In vivo experiments demonstrate that sh-DUSP6 suppresses thyroid cancer tumor growth in mouse models. Conclusion: DUSP6 promotes the metastasis of thyroid cancer by facilitating the formation of neutrophil extracellular traps via IL-8. Show less

Children's reading time at home plays a critical role in their reading development. However, existing measures of reading time, based on self-reports, are often biased. Logged data from mobile apps may offer a more reliable alternative, as shown in studies examining screen time in digital media use. This study compared logged and self-reported measures of reading time and examined their associations with reading skills in French primary school children. One hundred and nine children from Grade 1 to Grade 5 and their parents participated. Parents completed a retrospective questionnaire estimating weekly reading time (self-reported measure). They then used a mobile application to record their child's reading activities in real time over a 14-day period (logged measure). All children were assessed on their reading fluency. The self-reported measure yielded significantly higher reading time estimates (M = 6.26 hours/week) than the logged measure (M = 2.11 hours/week), with a moderate correlation between the two (r = .45). Crucially, the logged measure showed stronger predictive validity for reading fluency (r = .39) than the self-reported measure (r = .25). Regression analyses confirmed that when both measures were included simultaneously, only the logged reading time remained a significant predictor of reading performance. These findings suggest that logged measures obtained via ambulatory assessment (here, using a mobile app) provide more accurate estimates of reading time and superior predictive validity compared to traditional self-reports. This methodology offers promising avenues for future research on reading habits and literacy development. Show less

Nasopharyngeal carcinoma (NPC) is a complicated pathological cancer, which has a close association with pyroptosis and abnormal alternative splicing (AS). However, the molecular changes and functions of AS-mediated pyroptosis in cisplatin-resistant NPC cells remain poorly understood. The expression patterns of different splicing isomers of dual-specificity phosphatase 6 (DUSP6) were evaluated by semi-quantitative PCR. The effects of DUSP6 knockdown on cisplatin sensitivity and pyroptosis in NPC were examined by CCK-8 assay, immunofluorescence and ELISA. The occurrence mechanism of DUSP6 AS was explored by RNA pull down, mass spectrometry and MeRIP-PCR. DUSP6 underwent AS, among which the intron retention isoform DUSp6-IR1 increased in expression dependent on the dose and time of cisplatin. Knockdown of DUSP6-IR1 significantly suppressed viability and cisplatin resistance and promoted apoptosis of C666-1 cells upon cisplatin treatment. In vivo, sh-DUSP6-IR1 reduced the weight and volume of tumors. While DUSP6-IR1 knockdown in C666-1 cells enhanced pyroptosis (evidenced by elevated LDH release, Gasdermin D (GSDMD)/NOD-like receptor thermal protein domain associated protein 3 (NLRP3) expression, and IL-18/IL-1β levels, along with reduced cell viability), these effects were reversed by a pyroptosis inhibitor. The m6A reader protein insulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3) enhanced the splicing generation of the DUSP6-IR1 isoform through its KH3-4 domains, thereby suppressing pyroptosis in NPC cells and ultimately conferring cisplatin resistance. These findings revealed a promising novel direction to investigate cisplatin resistance and suggested potential therapeutic target for overcoming chemotherapy resistance in NPC. The online version contains supplementary material available at 10.1186/s12885-025-15337-9. Show less

Emerging evidence establishes hepatic dysfunction as a critical modulator of breast cancer (BC) progression through metabolic, endocrine, and inflammatory crosstalk, yet the molecular mediators remain incompletely characterized. This review systematically examines the liver-BC axis to identify mechanistic drivers and therapeutic opportunities for patients with comorbid conditions. We conducted an integrated analysis combining a comprehensive literature review with computational biology approaches, including protein-protein interaction network analysis, functional pathway enrichment (KEGG/GO), and multi-omics data mining from GEO, TCGA, and CPTAC databases, supplemented by experimental validations from preclinical models. Our analysis revealed hepatic dysfunction promotes BC progression through five interconnected pathways: insulin resistance-driven IGF1-PI3K/AKT activation, estrogen metabolism imbalance via CYP19A1/ESR1, IL6-STAT3/NLRP3-mediated inflammation, HMOX1/APOE-dependent metabolic rewiring, and FAK-Src/MMP9-regulated ECM remodeling. Key molecular mediators include nuclear receptors (ESR1), cytokines (IL-1β), growth factors (HGF), and receptor tyrosine kinases, with SPP1 and PTPN2 emerging as potential circulating biomarkers linking hepatic dysfunction to aggressive BC phenotypes. The crosstalk between hepatic dysfunction and BC is mediated by a network of proteins and pathways, offering potential targets for therapeutic intervention. Future research should focus on translational validation and personalized strategies for BC patients with comorbid liver conditions. This mechanistic insight may advance early diagnosis and precision treatment paradigms. Show less

In recent years, lecanemab received regulatory approval from several regulatory agencies. The safety profile, particularly the risk of amyloid-related imaging abnormalities (ARIA), necessitates post-marketing surveillance. From a public health perspective, generating robust real-world evidence (RWE) is essential. This study aims to inform policy and clinical decision-makers by analyzing prescribing information, literature evidence, and the FDA Adverse Events Reporting System (FAERS) pharmacovigilance reports. This study employed a mixed-method approach. First, prescribing information for lecanemab was collected and compared across four regulatory agencies. Second, a systematic literature review was conducted in MEDLINE and Embase to identify RWE studies reporting adverse events (AEs), symptoms, or management strategies in patients treated with lecanemab. Finally, post-marketing safety data from the FAERS database were analyzed. Four regulatory agencies have approved lecanemab through different pathways, each requiring confirmation of amyloid pathology and careful assessment of ARIA risk, particularly in Apolipoprotein E (ApoE) ε4 homozygotes. Notable differences exist across agencies regarding indications, contraindications, monitoring protocols, and criteria for treatment suspension, resumption, or discontinuation. All authorities mandate post-marketing programs to ensure ongoing monitoring of safety and effectiveness. A bibliographic search identified 26 studies. Nine cohort studies included between 19 and 407 participants and reported follow-up periods ranging from 6 to 14 months; in a few studies, lecanemab was administered to individuals with moderate or severe AD. As expected, infusion-related reactions (IRRs) and ARIA were the most frequent adverse events, predominantly occurring within the first seven infusions. Some studies reported preliminary efficacy outcomes, although attrition bias may have affected these findings. Seventeen case reports described nineteen individuals aged 57–82, with most AEs arising between the 3rd and 7th infusion and primarily consisting of ARIA; serious events such as stroke, seizures, and two fatalities were also noted. In most cases, lecanemab was paused or permanently discontinued. Analysis of the FAERS database identified 1,286 reports revealing 2,627 AEs, of which 30% were classified as serious, including forty-six deaths. The most reported AEs were headache, ARIA-E, ARIA-H, and chills. ARIA-E and ARIA-H have similar demographics, onset timing, and severity profiles. This study highlights the complexity of lecanemab’s safety profile and the variability in regulatory prescribing recommendations. While ARIA, especially in ApoE ε4 homozygotes, remains the most frequent adverse event, its severity ranges from mild to, in rare cases, severe or fatal. These findings underscore the need for robust post-marketing surveillance and harmonized recommendations to ensure safe and effective clinical use. The online version contains supplementary material available at 10.1007/s10072-026-08829-4. Show less

Apolipoprotein E (ApoE) is a key regulator of lipid metabolism that binds to lipid nanoparticle (LNP) surfaces to mediate cellular interactions. However, the ApoE-LNP behavior is highly dependent on the LNP composition, and the underlying mechanisms remain unclear. Here, we show that subtle alterations in LNP surface lipids profoundly reshape the ApoE-LNP structure and intracellular trafficking. Using cryogenic electron microscopy and live-cell imaging, we demonstrate that replacing 10 mol % 1,2-distearoyl- Show less

The mechanisms underlying individual variability in acupuncture analgesia among patients with chronic pain remain unclear. This randomized controlled trial investigated the core mechanisms of differential responses to acupuncture from genetic, neuroimaging, and transcriptomic perspectives in patients with chronic pain due to knee osteoarthritis (KOA). A total of 180 KOA chronic knee pain patients were randomly assigned to verum acupuncture (VA), sham acupuncture (SA), celecoxib (SC), placebo (PB), or waiting list (WL) groups (36 each). Over 2 weeks, VA/SA received 10 sessions, SC/PB oral medication for 14 days, and WL no intervention. Baseline 3.0T MRI 3D-T1 scans and genotyping (GABRB3 rs4906902, OPRM1 rs1799971, COMT rs4680, BDNF rs6265) were performed. Efficacy was assessed via VAS and WOMAC; responders/non-responders were defined by minimally clinically important difference. Chi-square test, logistic regression, voxel-based morphometry (VBM), and Allen Human Brain Atlas-based partial least squares regression were used. No significant difference in primary outcomes was observed between VA and SA, so they were combined as the acupuncture group (AG) to enhance statistical power. Only AG had a significant association between GABRB3 rs4906902 AG/GG genotype and acupuncture response (p < 0.05); other loci showed no correlation. AG/GG carriers in AG had lower gray matter volume in caudate head, putamen, and ventral striatum, with higher GABRB3 expression in these regions. Genetic polymorphisms at GABRB3 rs4906902 could influence the analgesic effect of acupuncture treatment in patients with KOA chronic knee pain, with AG/GG genotype carriers exhibiting superior analgesic effects. This finding may be associated with pain-modulating brain regions' gray matter volume reduction and upregulation of GABRB3 gene expression. Show less