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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

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

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

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

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

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

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

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

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

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

Between 1920 and 1950, cardiovascular disease (CVD) underwent a profound epidemiological shift, rising from a relatively rare and infrequently diagnosed condition to become the leading cause of death in industrialized nations. This epidemic coincided with a series of changes in the food supply, including the expanded use of refined carbohydrates, industrial seed and vegetable oils, and trans fatty acids. In response, the "Diet-Heart Hypothesis" emerged, dominated by Ancel Keys' lipid theory, which focused scientific and public health attention on saturated fat and cholesterol as the primary causes of CVD. This paradigm profoundly shaped dietary guidelines for decades, yet the sugar industry's documented influence on nutritional research during this period raises questions about how economic interests may have deflected scrutiny from other dietary factors. This review critically examines the evolution of cardiovascular risk assessment, exploring both the historical context of CVD emergence and the contemporary evidence supporting biomarkers that may be better at predicting risk than traditional cholesterol-focused approaches. Significant evidence reveals limitations in the lipid hypothesis, which oversimplified cardiovascular risk by demonizing total and LDL cholesterol. Research now demonstrates that apolipoprotein B and non‑HDL cholesterol more accurately reflect atherogenic lipoprotein burden than LDL cholesterol alone, while the triglyceride‑to‑HDL cholesterol ratio is a useful marker of insulin resistance and metabolic dysfunction. Lipoprotein(a), an independent genetic risk factor, accounts for a substantial proportion of cardiovascular events previously attributed to other causes. Furthermore, inflammatory markers like high-sensitivity C-reactive protein add prognostic value beyond traditional lipid panels. Perhaps most importantly, the historical dominance of saturated fat as a dietary "villain" is challenged by contemporary meta-analyses showing no significant association with CVD, while the roles of refined carbohydrates, industrial trans fats, and excess omega-6 fatty acids, such as those in soybean oil, warrant greater scrutiny. Contemporary cardiovascular risk assessment must move beyond LDL cholesterol-centric approaches to incorporate comprehensive metabolic and inflammatory markers. Apolipoprotein B, lipoprotein(a), triglyceride-to-HDL ratio, and high-sensitivity C-reactive protein provide more nuanced risk stratification, while dietary recommendations should acknowledge that industrial food processing, refined carbohydrates, and specific fatty acid compositions may pose greater cardiovascular threats than naturally occurring saturated fats. This paradigm shift demands updated clinical guidelines that reflect current scientific understanding rather than historical assumptions, potentially revolutionizing both prevention and treatment strategies for CVD. 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

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 presents the phylogenetic and antimicrobial susceptibility characterization of Mycobacterium monacense, a rare nontuberculous mycobacterium (NTM), cultured from clinical extrapulmonary samples. Eight Mycobacterium monacense isolates were identified between 2019 and 2023 in the Western Cape province of South Africa. Whole-genome sequencing (WGS) was applied to assess phylogenetic relatedness, identify virulence factors, and characterize the resistome of the isolates. Antimicrobial susceptibility testing (AST) was performed using the GenoType NTM-DR line probe assay (LPA), Sensititre minimum inhibitory concentrations (MIC) plates, and the proportional method based on critical concentrations. Spatial distribution of cases was mapped using ArcGIS software. Spatiotemporal distribution patterns indicated the presence of circulating clones confined within specific geographical areas. Plasmids coding for ferredoxin and cytochrome P450 genes were identified in one cluster, which notably lacked the chromosomal mbtH gene involved in siderophore biosynthesis for iron acquisition. In contrast, isolates grouped in a second cluster harbored the mbtH chromosomal gene but lacked these plasmid-associated elements. LPA and broth microdilution showed that all Mycobacterium monacense isolates were susceptible to aminoglycosides, fluoroquinolones, and macrolides, but generally exhibited elevated MICs against β-lactam antibiotics. Phenotypic AST indicated that drugs commonly used to treat Mycobacterium tuberculosis complex (MTBC), namely bedaquiline, linezolid, and rifampicin, are effective against Mycobacterium monacense. Mycobacterium monacense in extrapulmonary cultures accentuates the need for improved diagnostics and enhanced clinical awareness of infections with rare NTM. WGS highlights the potential significance provided by plasmid-encoded genes. Current treatment regimens for MTBC exhibit therapeutic efficacy against Mycobacterium monacense isolates. Show less

Spinocerebellar ataxia type 3 (SCA3) is one of the most common dominantly inherited ataxias worldwide. Despite research advances, no approved disease-modifying treatment exists, and management focuses on symptom alleviation and functional capacity maximization. Symptomatic treatment guidelines are scarce, leaving decisions to physicians' discretion. The lack of studies on SCA3 symptom management hinders therapy standardization. The aim of this study was to investigate medication-usage patterns among SCA3 mutation carriers and controls included in the multicentric European Spinocerebellar Ataxia Type-3/Machado-Joseph Disease Initiative (ESMI) cohort. We conducted a retrospective cross-sectional analysis of the medication taken by ESMI participants enrolled in the study between 2016 and 2023. Medication being used at the most recent follow-up visit available was categorized according to the Anatomical Therapeutic Chemical system. Comparisons between groups were performed using nonparametric tests for continuous variables and Fisher's exact test for categorical variables. In addition, a retrospective longitudinal analysis was conducted to study the impact of medication subclasses on disease progression, using linear mixed-effects models adjusted for relevant covariates. A total of 474 participants were included, comprising 344 SCA3 mutation carriers and 130 controls. Compared with controls, SCA3 subjects took more vitamins, mineral supplements, muscle relaxants, and medications targeting the nervous system. Psychoanaleptics and vitamins were introduced early in the disease course, whereas most other subclasses were initiated in mid-to-late stages, coinciding with the onset of neurological symptoms. Substantial disparities in medication usage were observed across the study centers. None of the medication subclasses commonly used by patients with SCA3 showed a significant impact on disease progression. This is the first study to explore medication usage patterns in SCA3 mutation carriers. Our study provides a comprehensive overview of the medications administered in SCA3 and underscores the importance of collaborative efforts toward achieving standardized clinical practices in the management of this disease. Show less

In recent years, non-traditional lipid indices have emerged as significant predictors for cardiovascular events following emergency percutaneous coronary intervention (PCI) for ST-segment elevation myocardial infarction (STEMI). However, the relationship of residual lipoprotein-cholesterol (RLP-C) and atherogenic index of plasma (AIP) with in-hospital outcomes, especially their predictive value for major adverse cardiovascular and cerebrovascular events (MACCEs) after PCI in STEMI patients, remains underexplored and warrants further investigation. This retrospective cohort study included 526 STEMI patients who underwent emergency PCI between January 2023 and August 2024. We collected baseline demographic, clinical, and laboratory data. RLP-C and AIP were calculated from lipid profiles obtained before PCI. Independent predictors of in-hospital MACCEs were identified using multivariate logistic regression, and model discrimination was evaluated using receiver operating characteristic (ROC) curve analysis. Among 526 STEMI patients receiving PCI, 92 (17.49%) developed in-hospital MACCEs. Multivariate analysis identified RLP-C (OR = 3.97, 95%CI: 1.71–9.21; RLP-C and AIP are independent predictors of in-hospital MACCEs following PCI in STEMI patients. Combined assessment of these indices improves risk stratification and may facilitate early targeted interventions to improve outcomes. The online version contains supplementary material available at 10.1186/s12872-026-05555-9. Show less

RNA-based therapies have emerged as a transformative approach in the management of hypercholesterolemia and coronary artery disease by directly targeting molecular pathways involved in lipid regulation. These treatments focus on silencing key genes such as PCSK9, ANGPTL3, ApoB, and Lp(a), achieving substantial reductions in low-density lipoprotein cholesterol (LDL-C), triglycerides, and other atherogenic lipoproteins. Small interfering RNA (siRNA) and antisense oligonucleotides (ASOs) provide highly specific post-transcriptional gene suppression, while advances in chemical stabilization and GalNAc conjugation have enhanced hepatocyte delivery and prolonged therapeutic action. Approved agents such as inclisiran demonstrate sustained LDL-C reductions of approximately 50% with only two to three injections annually, improving adherence and offering an alternative for patients intolerant to statins or unable to reach lipid targets with conventional therapy. Pelacarsen and other emerging antisense therapies show promise for reducing lipoprotein(a), an independent cardiovascular risk factor, while siRNAs targeting ANGPTL3 offer prolonged lipid-lowering effects beyond those achieved with monoclonal antibodies. Despite these advantages, challenges remain. Hepatic safety concerns have halted the development of some agents, such as vupanorsen, and long-term cardiovascular outcome data for several therapies, including inclisiran, are still in development. Cost and accessibility also limit broad adoption, emphasizing the need for cost-effective strategies and long-term surveillance. Nevertheless, current evidence supports the integration of RNA-based therapies into modern lipid-lowering algorithms, particularly for high-risk patients, while ongoing research continues to refine delivery systems, enhance safety, and expand therapeutic indications. 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

Elevated lipoprotein(a) [Lp(a)] is a genetically determined, causal risk factor for atherosclerotic cardiovascular disease, but effective therapies remain limited. Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors are primarily used to lower low-density lipoprotein cholesterol (LDL-C), yet their effects on Lp(a) have been inconsistently reported. This umbrella review synthesizes meta-analytic evidence on PCSK9 inhibitors and Lp(a). We systematically searched PubMed, Embase, Web of Science, and Cochrane Library through April 2025 for meta-analyses of randomized controlled trials (RCTs) comparing PCSK9 inhibitors (alirocumab, evolocumab, inclisiran) with placebo or standard therapy. The primary outcome was mean percentage change in Lp(a). Methodological quality was assessed using the Assessment of Multiple Systematic Reviews 2 (AMSTAR-2), and evidence certainty was graded with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE). Overlap of primary trials was quantified using the Corrected Covered Area (CCA), and sensitivity analyses were performed to account for overlapping evidence. Twenty-one meta-analyses (116 RCTs; 231,796 participants) were included. The PCSK9 inhibitors consistently reduced Lp(a): evolocumab (29.68-46.68%; high certainty), alirocumab (18.55-26.46%; high certainty), and inclisiran (18.00%; high certainty). Higher biweekly doses yielded larger decreases (e.g., alirocumab 150 mg: 24.6%; evolocumab 140 mg: 26.8%, high certainty). Reductions were dose-dependent and broadly consistent across populations, comparators, follow-up durations, and baseline Lp(a). The Lp(a) reductions correlated modestly with LDL-C (β = 0.28; 95% CI 0.07-0.49) and apolipoprotein B (apoB) (β = 0.33; 95% CI 0.03-0.63). Concomitant reductions in LDL-C, apoB, and major adverse cardiovascular events were supported by high and moderate certainty evidence. Safety was favorable, with injection-site reactions being the most common adverse event. Sensitivity analyses confirmed robustness of findings after accounting for overlapping trials. The PCSK9 inhibitors, particularly evolocumab 140 mg every 2 weeks, significantly lower Lp(a) alongside LDL-C and apoB. These findings highlight the consistent Lp(a)-lowering effect of PCSK9 inhibitors. However, the observed cardiovascular benefits are largely attributable to concomitant LDL-C reduction, and the incremental contribution of Lp(a) lowering remains uncertain. Confirmation from outcome trials specifically designed to target Lp(a) is required. PROSPERO CRD420251048597. 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

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

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