📋 Browse Articles

Although lipoprotein(a) [Lp(a)] is an established independent risk factor for atherosclerotic cardiovascular disease (ASCVD) in primary prevention settings, it remains unclear whether Lp(a) contributes to an increased risk of adverse cardiovascular events in patients with established ASCVD. The current analysis combines the ATHEROREMO and IBIS-3 observational studies, which together enrolled 798 patients undergoing coronary angiography for stable angina pectoris or acute coronary syndrome. Intravascular ultrasound (IVUS) and near-infrared spectroscopy were performed to assess coronary plaque characteristics in a non-culprit study segment. Regression models were applied to relate Lp(a) to coronary plaque characteristics and long-term (up to 10 year) clinical outcomes. Lp(a) was analysed both as a continuous and categorical variable (using 75 nmol/L and 125 nmol/L as threshold). Mean age of the patients was 61.6 years (10.8); 75% were male; 19% had elevated Lp(a) levels (>125 nmol/L). Patients with Lp(a) > 125 nmol/L had a significantly higher prevalence of hypercholesterolemia and prior percutaneous coronary intervention. These patients demonstrated higher IVUS-derived plaque burden (40.7% (±11.5) vs. 38.6% (±10.7), p = 0.028), though no associations were found with other plaque characteristics, e.g. minimum lumen area, lipid core burden index and thin-cap fibroatheroroma. No association was found between Lp(a) and -5-year major adverse cardiac events (HR 1.06, 95% CI: 0.70-1.60, p = 0.78) and 10-year all-cause mortality (HR 0.63, 95% CI: 0.38-1.06, p = 0.78). Among patients with established ASCVD, Lp(a) was associated with plaque burden, supporting evidence that relates Lp(a) to atherosclerotic disease. However, Lp(a) was not associated with long-term mortality or cardiac adverse events in these patients. Show less

The prevalence of Type 2 diabetes mellitus (T2DM) is rapidly increasing in India, yet molecular markers that reflect early disease susceptibility remain limited. Epigenetic modifications such as DNA methylation may reflect early metabolic vulnerability preceding overt dysglycemia. In this study, we examined genome-wide DNA methylation patterns in a pilot subset nested within a prospective Indian cohort using Nanopore sequencing and assessed their associations with previously identified metabolite predictors from the same cohort. Genome-wide DNA methylation profiling was performed on buffy-coat DNA from 12 participants who were normoglycemic at baseline and later classified into normoglycemia, prediabetes, or T2DM based on their glycemic status at 6-year follow-up. At baseline, gene-level aggregation of CpG methylation revealed directionally consistent hypermethylation of seven genes (ABCG1, ADARB2, BCL2, DLC1, EGFLAM, SYK, ZNF516) in individuals who later developed T2DM, while those progressing to prediabetes exhibited six hypermethylated (ABCG1, FLT3, LCP1, MBP, NCOA2, TCF7L2) and five hypomethylated genes (ZFHX3, PAX6, PTPRN2, ERC1, HIPK1). ABCG1 showed consistent hypermethylation across both groups. Longitudinal within-individual comparisons identified additional gene-associated methylation changes, including ANK1, IQSEC1, and RUNX1, and shared alterations in CACNA1C, KANSL1, PTPRN2, and TTC34, while six genes showed stage-dependent directional shifts in methylation (ASB3, EFR3A, PCSK5, KLHL14, PDE4C, UNC5C). Correlation analyses at baseline suggested associations between ABCG1 and EGFLAM methylation, fasting glucose, phosphatidylethanolamine [PE (20:3₁₈:0)] and insulin sensitivity indices. This pilot longitudinal study suggests that gene-associated DNA methylation changes in blood may be detectable prior to the onset of dysglycemia. These findings are exploratory and hypothesis-generating, highlighting candidate genes and epigenetic-metabolic associations for targeted validation in larger, independent cohorts using alternative analytical approaches. Show less

Cancer-associated fibroblasts (CAFs) exhibit phenotypic heterogeneity with each functional state playing critical roles in tumor progression. Notably, subtypes like inflammatory CAFs (iCAFs), characterized by increased chemokine/cytokine secretion, and myofibroblast-like CAFs (myCAFs), characterized by enhanced extracellular matrix (ECM) deposition and increased actomyosin contractility, can undergo phenotypic switching in response to cues from the tumor microenvironment (TME) and therapeutic interventions. Elucidation of the signaling pathways associated with the diverse phenotypes could enable development of strategies to therapeutically reprogram CAFs. Through the analysis of single-cell RNA sequencing data from colorectal cancer (CRC) patients, we identified that the PI3K/mTOR and MAPK/ERK signaling pathways, among other pathways, are linked to the formation of myCAF and iCAF subtypes, respectively. Unbiased pharmacological interference of 12 distinct signaling pathways using three-dimensional (3D) human CRC-derived CAF cultures, ex vivo patient-derived tumor fragments, and mouse models further revealed the significance of PI3K/mTOR and MAPK/ERK signaling in CAF plasticity and functional behavior. PI3K/mTOR inhibition drove iCAF formation through compensatory FGF-2 release and FGFR1-JAK2-STAT3 activation, leading to chemokine/cytokine secretion that promoted tumor spheroid growth and neutrophil infiltration. Conversely, MEK inhibition induced a myCAF phenotype via interferon-dependent ROCK and JAK1 signaling, resulting in ECM production that enhanced tumor colony formation. In summary, these findings reveal a functional significance of PI3K/mTOR and MAPK/ERK signaling pathways in CAF plasticity and underscore how standard-of-care targeted therapies can directly influence CAF phenotypes in CRC. Show less

Continual image super-resolution (CISR) aims to efficiently adapt a pre-trained model to a variety of tasks while retaining knowledge from previously learned tasks, minimizing the need for intensive independent training. The primary challenges include catastrophic forgetting due to varying data distributions and degradation types, along with the necessity for high adaptability. While prompt-based continual learning has proven effective in image classification, its direct application to super-resolution (SR) often fails to meet the demands for detailed pixel-level restoration and domain discrimination in low-level characteristics. To address these challenges, we propose Learning Prompt Adapters (LPA), which dynamically generates pixel-wise prompts through a combination of multi-granularity prompt bases and identities. By adaptively integrating these prompts into the Transformer architecture, we effectively improve the model's performance on fine-grained details in super-resolution tasks, as well as enhancing the model's adaptability to new tasks and preserving knowledge from previous ones. Through organizing the low-rank prompt bases with specific identities, we set up an effective solution to managing cross-task differences and enhancing prompt richness. Extensive experiments on benchmarks comprising the NYU, RealSR, DIV2K, REDS, and MANGA109 datasets with diverse degradation types demonstrate that LPA significantly outperforms existing continual learning methods. Codes of this paper are available at: https://github.com/dummerchen/LPA. Show less

Risk estimation tools have been developed to predict coronary heart disease (CHD) in type 2 diabetes (T2D). To evaluate augmentation following the addition of lipoprotein(a) [Lp(a)] to risk calculation, we performed a pilot study. A total of 90 successive T2D patients were included. Details of clinical and biochemical features were obtained. Lp(a) was determined using ELISA. CHD risk estimation was performed using Framingham, QRISK-3, SCORE-2D, INTERHEART, and European Atherosclerosis Society (EAS) algorithms with and without Lp(a). Descriptive statistics are reported. Mean age of patients was 55.0 ± 8 years, BP systolic/diastolic 133.7 ± 12/95.0 ± 9 mm Hg, body mass index (BMI) 26.0 ± 1.9 kg/m Substantial variation in coronary artery disease (CAD) risk prediction using various clinical algorithms is observed in T2D. The EAS algorithm provides the most robust estimate. The addition of Lp(a) to the risk algorithms augments risk stratification significantly. The results of this pilot study need confirmation with larger prospective studies. Show less

Omega-3 fatty acids are suggested to have protective effects against dementia and cardiovascular disease (CVD). Some evidence suggests that genetic elements, including the apolipoprotein E epsilon-4 (APOE-ε4) allele, may modify this association. However, the findings are inconsistent. In this study we sought to systematically review whether genetic variants modify the association between fish intake or omega-3 fatty acids and cognitive decline or CVD in community-dwelling adults aged 65 years and older. We searched the Embase, Medline, and Scopus electronic databases, along with the platform Web of Science, from inception to December 10, 2024. The search yielded 2349 papers. Title and abstract screening, along with full-text review, were independently performed by 2 reviewers. 15 studies met the inclusion criteria. Data extraction was completed by 1 reviewer and independently cross-checked by another. Risk of bias was assessed using standard tools. Due to substantial heterogeneity in the available evidence, instead of meta-analysis, a narrative review approach was adopted. A relatively small number of studies reported conflicting results for the dementia, Alzheimer disease (AD), and CVD outcomes; however, higher omega-3 biomarker levels/fish intake appeared to be associated with slower cognitive decline in APOE-ε4 carriers. There is some limited evidence suggesting that APOE-ε4 may modify the association between omega-3 intake and cognitive decline in older adults, although the current body of research is inconsistent. This inconsistency highlights the need for additional research to better understand this association to support the development of personalized nutrigenetic-informed interventions to optimize health in later life. PROSPERO registration No. CRD42024623183. Show less

Atherosclerosis is fundamentally a pathology of unresolved inflammation perpetuated by the collapse of Regulatory T cell (Treg)-mediated tolerance. Emerging evidence indicates that Treg functional integrity is intrinsically dictated by mitochondrial fatty acid oxidation (FAO), a metabolic checkpoint often compromised under systemic metabolic stress. Current lipid-lowering therapies, such as statins, often fall short in correcting this maladaptive immunometabolic defect and may introduce collateral metabolic perturbations. This study aimed to elucidate the immunometabolic therapeutic mechanism of Dingxin Recipe III (DXR III) in ameliorating atherosclerosis. We employed an integrated systems pharmacology strategy-combining serum pharmacochemistry, multi-omics profiling, and extensive high-dimensional flow cytometry-to elucidate the therapeutic mechanism of DXR III, a traditional Chinese herbal formula in an in vivo study. ApoE DXR III treatment effectively attenuating atherosclerotic progression. Serum pharmacochemistry identified 254 prototypical absorbed constituents, including Tanshinone I (a potential Peroxisome Proliferator-Activated Receptor Gamma agonist), as bioactive candidates. Multi-omics analysis revealed that DXR III modulated the metabolic environment, coinciding with restored FAO flux. This shift was associated with a favorable metabolic niche characterized by increased FAO substrates, which correlated with the rescue of Treg differentiation and phenotypic stability. Specifically, DXR III facilitated the redistribution of Tregs from the spleen to plaque sites and significantly inhibited their trans-differentiation into Th1-like or Th17-like phenotypes. Conversely, Simvastatin treatment, despite lowering lipids, resulted in peripheral Th17 accumulation and failed to alleviate hyperglycemia. In contrast, DXR III maintained Th17 homeostasis-abolishing the pathogenic non-classical Th17 subset-and exerted dual-regulatory effects on both lipid and glucose metabolism. DXR III ameliorates atherosclerosis, a process closely associated with the modulation of the FAO metabolic checkpoint to correct the immune imbalance driving plaque progression. By rescuing the Treg differentiation, functional integrity, and phenotypic fidelity while avoiding the immunological trade-offs associated with Th1/Th17, DXR III represents a promising candidate for comprehensive cardiovascular protection. Show less

Compound Nujia honey paste (Nujia), a classic formulation from Traditional Uyghur Medicine, has been historically used for depression treatment and is listed in the Catalog of Ancient Classical Famous Formulas issued by the National Administration of Traditional Chinese Medicine and the National Medical Products Administration. Clarifying its pharmacodynamic material basis is essential for understanding its efficacy, yet this remains incompletely characterized. This study aimed to systematically elucidate Nujia's antidepressant efficacy and mechanisms by combining chemical analysis, computational prediction, and experimental validation in a CUMS rat model, providing a comprehensive approach to understanding its action. This study employed LC/MS to analyze the chemical constituents and blood-absorbed compounds of Nujia. This was combined with network pharmacology and molecular docking to predict and verify its potential antidepressant targets and signaling pathways. Using behavioral tests, ELISA, histopathology, Western blot, and qRT-PCR in a CUMS rat model, the research thoroughly evaluated Nujia's therapeutic effects and mechanisms, fostering trust in the findings. In this study, LC/MS analysis identified 124 chemical constituents from Nujia, and further analysis determined 26 blood-absorbed compounds (including 10 prototype compounds). Network pharmacology analysis revealed that its potential antidepressant effects are closely associated with core targets such as AKT1 and TNF, a prediction subsequently verified by molecular docking results. In the CUMS-induced rat model of depression, intervention with Nujia significantly ameliorated depression-like behaviors in the animals and alleviated neuropathological damage in the hippocampus and prefrontal cortex. Mechanistic investigations revealed that Nujia upregulated the levels of monoamine neurotransmitters (5-HT, DA, NE) and neurotrophic factors (BDNF, NGF) in serum, while downregulating the expression of pro-inflammatory cytokines (TNF-α, IL-1β, IL-6, IL-18). Further molecular experiments confirmed that Nujia likely mitigates neuroinflammation by inhibiting the TNF-α/NF-κB signaling pathway, and inhibits neuronal apoptosis by activating the PI3K/AKT signaling pathway and its downstream anti-apoptotic proteins. Furthermore, Nujia significantly upregulated the expression of key synaptic plasticity proteins (SYP, GAP43, and PSD95) in hippocampal tissue, thereby enhancing synaptic structure and function. These findings underscore the complex, multi-target mechanisms underlying Nujia's antidepressant effects, encouraging further exploration of its therapeutic potential. This study systematically elucidates that Nujia achieves its antidepressant therapeutic effects by mediating multi-pathway synergistic actions, including but not limited to the TNF-α/NF-κB and PI3K/AKT signaling pathways, to ameliorate neuroinflammation, attenuate apoptosis, and enhance synaptic plasticity. Show less

Microglia play dual roles in neuroinflammation, driving either detrimental M1 or protective M2 polarization, which critically impacts the outcomes of ischemic stroke. While fibroblast growth factor 20 (FGF20) is established as a neurotrophic factor with neuroprotective properties, its role in regulating microglial polarization remains unclear. This study investigated a novel function of FGF20 in alleviating post-stroke neuroinflammation and its underlying mechanisms. In a rat model of middle cerebral artery occlusion (MCAO), intracerebroventricular administration of FGF20 significantly reduced infarct volume and improved neurological function. RT-PCR analysis revealed that FGF20 bidirectionally regulated cytokine expression, suppressing M1-associated markers (CD86, IL-1β, IL-6, iNOS, TNF-α) while enhancing M2-associated markers (IL-10, Arg-1). Immunofluorescence staining demonstrated that FGF20 attenuated microglia activation in peri-infarct striatum and hippocampus. In vitro, FGF20 counteracted LPS-induced M1 polarization in primary microglia, downregulated the TLR4/NF-κB pathway, and upregulated TREM2 expression. Notably, while the selective FGFR1 inhibitor PD173074 abolished FGF20-induced TREM2 upregulation, it did not reverse the suppression of TLR4/NF-κB, indicating that these two effects are mediated through distinct regulatory mechanisms. These phenotypic shifts were further confirmed by a reduction in CD32/16 Show less

This study examined the associations between 24-hour movement behaviors and health-related fitness in university students, and estimated the substitution effects using a compositional isotemporal substitution model. This study was conducted between May and June 2023, using a combination of convenience and random sampling to recruit 325 undergraduate students from Tianjin University of Science & Technology as participants, including 167 males and 158 females. Daily 24-hour activity behaviors were measured using a triaxial accelerometer(ActiGraph GT3X+), including moderate-intensity physical activity(MPA), vigorous-intensity physical activity(VPA), light-intensity physical activity(LPA), sedentary behaviors(SB), and sleep(SLP) duration. Body composition was assessed via body mass index(BMI), waist circumference, and body fat percentage. Muscular strength was measured by handgrip strength, cardiorespiratory fitness was measured by vital capacity and maximum oxygen uptake(VO₍₂ max)), and flexibility was assessed by the sit-and-reach test. Compositional data analysis was used to investigate the associations between activity behaviors and health-related physical fitness. A 15-minute isotemporal substitution model was applied to predict the effects of replacing one activity with another on outcome variables. The mean age of male participants was(19.74±1.16) years, and that of female participants was(19.51±1.29) years. Based on 24-hour compositional activity behavior analysis, college students spent an average of 16.42 minutes(1.14% of the day) in MPA, 26.57 minutes(1.85%) in VPA, 150.92 minutes(10.48%) in LPA, 645.78 minutes(46.05%) in SB, and 561.31 minutes(40.21%) in SLP. After adjusting for covariates including sex and age, isotemporal substitution models revealed that replacing an equivalent amount of sedentary time with MPA was associated with a reduction in BMI by 0.07-0.19 units, body fat percentage by 0.53-0.59 units, waist circumference by 0.16-0.27 cm, an increase in vital capacity by 119.18-152.67 mL, VO₍₂ max) by 1.76-1.88 mL/(kg·min), handgrip strength by 0.86-1.46 kg, and sit-and-reach performance by 0.19-0.38 cm. Similarly, increasing VPA led to decreases in BMI by 0.14-0.16 units, body fat percentage by 0.49-0.54 units, waist circumference by 0.12-0.23 cm, increases in vital capacity by 127.45-160.84 mL, VO₍₂ max) by 1.91-2.03 mL/(kg·min), handgrip strength by 0.98-1.56 kg, and sit-and-reach by 0.14-0.32 cm. Increasing LPA result ed in BMI increases of 0.11-0.12 units, handgrip strength increases of 0.65 kg, and sit-and-reach increases of 0.21 cm. Increasing SLP was associated with BMI reduction of 0.04 units and waist circumference reduction of 0.09 cm. MPA had the most significant effect on improving BMI, body fat percentage, and waist circumference, while VPA was more effective in enhancing cardiorespiratory fitness, muscular strength, and flexibility. SLP had a modest positive effect on BMI and waist circumference but was less impactful than MPA and VPA. SB and LPA were generally unfavorable for health-related physical fitness. Show less

Millions of individuals worldwide are affected by Alzheimer's disease dementia (ADD) and frontotemporal dementia (FTD), with FTD characterized by degeneration of the frontal and temporal lobes leading to cognitive and behavioral impairments. A subset of Alzheimer's cases exhibits familial inheritance, with the PAISA mutation, a glutamic acid to alanine substitution at codon 280 (E280A) in the PSEN1 gene, being a primary cause of early-onset dementia. PSEN1 encodes a key component of the γ-secretase complex, which cleaves amyloid precursor protein (APP) to generate beta-amyloid (Aβ) peptides. The PAISA mutation disrupts normal Aβ processing, leading to overproduction or accumulation of Aβ, formation of amyloid plaques, and accelerated progression of dementia. Its prevalence is particularly high in Colombian families, giving rise to the term "PAISA mutation." The APOE genotype further modulates the clinical manifestation in PAISA carriers, with APOE2 potentially delaying disease onset, whereas APOE4 is associated with earlier onset. Recent research highlights TAF2N (also known as RBP56, encoded by TAF15) as a promising therapeutic target, as its modulation may regulate AD-associated genes, reduce toxic Aβ isoforms, modulate tau and APP pathways, protect neurons, and enhance synaptic function. Overall, understanding the molecular effects of PAISA mutations and exploring TAF2N-targeted therapies offers novel avenues for addressing early-onset familial AD, providing insights into broader mechanisms of disease pathogenesis. Show less

Osteosarcoma remains the most common primary malignant bone tumor, with poor outcomes in metastatic or recurrent cases. Current treatments often fail to prevent relapse, highlighting the need for innovative therapeutic strategies. Aptamers, short and single-stranded oligonucleotides capable of folding into three-dimensional shapes, have emerged as promising tools for targeted cancer diagnostics and therapy due to their high affinity, specificity, and modifiability. A structured search was conducted through PubMed, Scopus, and Google Scholar up to March 2025, focusing on peer-reviewed articles exploring the use of aptamers in osteosarcoma. A total of 158 studies were included, highlighting aptamer applications in tumor diagnosis, pathway targeting, and precision drug delivery. Aptamers demonstrated significant potential in osteosarcoma research, notably in identifying tumorigenesis pathways, enhancing diagnostic accuracy through ELISA and biosensors, and improving targeted drug delivery. SELEX-derived aptamers effectively targeted molecules such as CD133, EGFR, VEGFA, and FGFR1, leading to enhanced cytotoxicity, reduced off-target effects, and greater specificity for osteosarcoma cells and cancer stem cells. The integration of aptamers with nanoparticles further optimized therapeutic delivery, highlighting their capability to enhance precision medicine in osteosarcoma. Aptamers offer clear benefits over traditional osteosarcoma treatments. Their strong binding affinity to cancer cells, low risk of immune reactions, and flexible chemical modifications make them powerful tools for diagnosis and therapy, especially when combined with nanoparticle delivery systems. Aptamers represent a promising class of targeted agents for osteosarcoma. Future research should prioritize optimizing delivery strategies and validating clinical efficacy to accelerate their integration into clinical practice. Show less

Physical activity, sedentary behaviour, and sleep were shown to be independently associated with low back pain (LBP). The aim of this cross-sectional study was to explore the associations between 24-hour movement behaviour compositions and the occurrence, severity, and estimated level of LBP impact on an individual’s life. A convenience sample of 197 adults (40% females, 37 ± 11 years of age) were asked to wear an activPAL accelerometer for at least 7 consecutive days to assess their time-use composition consisting of moderate- to vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), sedentary behaviour (SB), and sleep and to complete a questionnaire on LBP and sociodemographic characteristics. Compositional isotemporal substitution analyses were conducted separately for the non-domain-specific and domain-specific (including occupational and non-occupational domains) movement behaviour compositions. Reallocating time from MVPA to any other movement behaviour or from sleep to LPA was associated with a higher LBP impact score. For example, reallocating 60 min/day from MVPA to LPA was associated with on average 17 points (95% CI: 6 to 28) higher LBP impact score (on a 0–70 scale). We did not find significant associations between the domain-specific time-use composition and LBP impact score ( Our study suggests that LBP sufferers with higher MVPA and sleep better cope with LBP. The differences in the LBP impact scores associated with theoretical reallocations between movement behaviours may be deemed clinically important. Future longitudinal and experimental studies in population-representative samples are needed to confirm our findings. Show less

Post-stroke cognitive impairment (PSCI) is a prevalent sequela of stroke that severely limits recovery and quality of life. Accumulating evidence indicates that acupuncture exerts significant neuroprotective and cognitive-enhancing effects in PSCI; however, the underlying mechanisms remain fragmented across molecular, cellular, and systems levels. This review proposes an integrative neurobiological framework linking neurotransmission, neuroinflammation, neurotrophic signaling, and brain network remodeling to explain how acupuncture promotes neurorepair and cognitive restoration after stroke. We systematically summarized recent clinical and experimental findings from 2001 to 2025 and categorized the converging mechanisms into five inter-related dimensions: (1) regulation of neurotransmitters and synaptic plasticity; (2) anti-inflammatory and immune modulation; (3) anti-oxidative stress and anti-apoptotic actions; (4) up-regulation of BDNF-related pathways and neurotrophic signaling; and (5) enhancement of neurogenesis and reconstruction of brain functional networks. Collectively, these multimodal effects form a systems-level cascade through which acupuncture may facilitate neuroplastic remodeling and cognitive recovery. Current challenges include heterogeneity of study design, insufficient multi-omics validation, and limited longitudinal imaging evidence. Future research should integrate molecular biomarkers, neuroimaging, and clinical outcomes to verify this multi-layered mechanistic framework and to guide precision acupuncture protocols for PSCI rehabilitation. Show less

Cisplatin is a widely used chemotherapeutic agent for triple-negative breast cancer (TNBC), but resistance remains a major challenge. Understanding the molecular alterations driving this resistance is essential for identifying therapeutic targets. In this study, we employed an integrated proteomics and lipidomics approach to elucidate key pathways associated with cisplatin resistance. Employing high-resolution mass spectrometry, we conducted a comparative analysis between cisplatin-resistant (cisR) and cisplatin-sensitive (cisS) TNBC cell lines to discover resistance-associated alterations in protein and lipid expression. Proteomic analysis revealed overexpression of extracellular matrix (ECM) remodeling proteins, COL6A1, COL6A2, COL6A3, and VTN, that support epithelial-mesenchymal transition (EMT) and chemoresistance. Membrane-associated proteins such as TIMP2, MMP14, and APP were also elevated, indicating enhanced invasive and pro-survival signaling. Lipidomic alterations, including upregulation of FABP3, FABP4, LPL, and downregulation of PLA2G4A, indicated increased lipid uptake, metabolic rewiring, and membrane restructuring. Notably, elevated long-chain phosphatidylcholines and decreased sphingomyelins suggested increased membrane rigidity and reduced cisplatin permeability. Additionally, dysregulation of CDK activity through CCND2, CCND3, and CCNB2 overexpression indicated accelerated cell cycle progression and evasion of DNA damage checkpoints. Together, this integrative analysis highlights ECM remodeling, cytoskeletal dynamics, and lipid metabolism as major contributors to cisplatin resistance and identifies potential therapeutic markers for TNBC. Show less

Improving Internet addiction among nursing students is of great significance to the future development of the nursing industry. Previous studies have proved that childhood trauma is closely related to Internet addiction. However, the direct relationship between alexithymia and childhood trauma and Internet addiction has not been fully explored. The aim of this study is to identify different subgroups of nursing students based on their childhood trauma and to examine the mediating role of alexithymia between childhood trauma and Internet addiction. From April to May 2025, 3,697 nursing students were recruited as samples from Shandong, Hubei, Hunan, and Henan provinces in China by convenient sampling. This survey collected social demographic data. Including The Childhood Trauma Questionnaire - Short Form (CTQ-SF), the Toronto Alexithymia Scale (TAS-26), and the Internet addiction Scale. Potential profile analysis was used to determine the potential categories of childhood trauma characteristics of nursing students, and Pearson correlation analysis, Bayesian factor robustness analysis and mediation analysis were used to determine the potential relationships among variables. LPA identified three distinct groups based on their dominant usage: low (77.4%), medium (19.5%), and high (3.1%). In the relationship between childhood trauma and Internet addiction based on potential profile analysis, alexithymia has a significant mediating effect (SE = 0.442,95%CI = 0.095, 1.824; SE = 0.219, 95%CI = 0.093, 0.962). There is heterogeneity in childhood trauma among nursing students. Alexithymia plays an important mediating role in the relationship between childhood trauma and Internet addiction. It is suggested that nursing educators pay attention to the differences in childhood trauma among nursing students, provide corresponding psychological counseling for different students, improve them, thereby alleviating Internet addiction among nursing students and promoting their mental health. Show less

Brain-derived neurotrophic factor (BDNF) plays a critical role in neuronal development and synaptic plasticity across various maturation stages. However, the extent to which BDNF modulates the neuronal transcriptome to mediate these effects, and the gene clusters most responsive at each culture stage, remain poorly understood. To address this, we investigated the time-dependent effects of BDNF on the transcriptomes of cultured cortical neurons at different culture durations. We found that the magnitude of the transcriptomic response to a 6-h BDNF treatment, relative to untreated controls, increased with longer culture duration. Furthermore, a BDNF-induced shift towards a more mature-like transcriptional state was observed specifically in neurons cultured for shorter durations, suggesting a response dependent on the length of time in culture. Specifically, matrix metalloproteinase 3 (MMP3) was robustly induced by BDNF. Single-nucleus RNA sequencing (snRNA-seq) revealed that this induction was primarily localized to Lhx6-positive inhibitory neurons. Additionally, BDNF regulated the expression of various ligand and receptor genes through a combination of cell type-specific and non-specific mechanisms. These findings provide a comprehensive view of BDNF-mediated transcriptional regulation over the course of cortical neuron culture. Show less

BackgroundPredicting cognitive function across dementia stages remains challenging. Plasma biomarkers and electroencephalogram (EEG) features may provide complementary information, but their combined predictive value requires further study.ObjectiveTo evaluate the feasibility of integrating plasma biomarkers and EEG features to predict cognitive function in dementia and examine their correlations.MethodsFrom September 2023 to October 2024, 75 patients from two medical centers with mild cognitive impairment, mild dementia, or moderate dementia were enrolled. Resting-state 19-channel EEG data yielded 2737 time-frequency and connectivity features. Plasma biomarkers included tau, p-Tau181, Aβ Show less

Child maltreatment measurement has been a longstanding issue, with discrepancies across administrative records, parent-reports, and self-reports. One proposed solution is "triangulation," or integrating data from multiple reporters and sources. However, it remains unclear how best to operationalize this concept. This study examines the concept of "triangulation" by employing different analytic methods to determine whether these methods reveal a common underlying construct of physical abuse and whether they predict adult depression. Data come from the Lehigh Longitudinal Study, a 40+ year prospective study that began in the 1970s with children ages 18 months to 6 years of age. Data were collected in early childhood, middle childhood, adolescence, and adulthood (ages 36 and 46, on average). We applied five analytic approaches - network analysis, ordinary least squares (OLS) regression, structural equation modeling (SEM), latent profile analysis (LPA), and a cumulative index regression - to assess the relationships among multiple reporters of childhood physical abuse and adult depression. SEM best modeled the latent construct of physical abuse and significantly predicted adult depression, with adult self-reports playing a particularly strong role. Network analysis also highlighted strong intercorrelations among self-reports and meaningful links with depression. SEM and network analysis were the most informative for triangulation and prediction of adult depression. Adult self-reports of abuse were most related and most predictive of adult depression. Show less

Plozasiran (Redemplo), a novel small interfering RNA (siRNA) therapeutic targeting the hepatic biosynthesis of apolipoprotein C-III (APOC3), is approved by the US FDA for treating familial chylomicronemia syndrome (FCS), a disease of rare prevalence that presents with extremely elevated levels of serum triglycerides (TG) leading to a higher risk of acute pancreatitis. Plozasiran is also in Phase 3 development to treat the broader indication of severe hypertriglyceridemia. Population pharmacodynamic (PD) analysis of plozasiran was conducted on serially measured serum APOC3 and TG levels in the FCS patients participating in the pivotal Phase 3 study by employing a cascading kinetic-PD model that described the inhibitory effect of plozasiran on the synthesis of APOC3, which in turn decreases serum TG levels. The estimated IC Show less

PurposeThis study aims to explore the latent classes of compassion fatigue among intensive care unit (ICU) nurses and identify the factors that influence their compassion fatigue.MethodsBetween November 2024 and February 2025, 1029 ICU nurses were selected as study participants using convenience sampling. Data were gathered through general demographic questionnaires, the Chinese version of the Short Scale of Compassion Fatigue (CFSS), the Occupational Stress Scale, the Perceived Social Support Scale, as well as the Professional Identity Scale. A latent profile analysis (LPA) was conducted based on the three dimensions of the CFSS as observed indicators. Additionally, factors influencing outcomes were analyzed using both univariate and multivariate logistic regression methods.Ethical considerationsThis study was approved by the Institutional Review Board of the Affiliated Hospital of Qingdao University.ResultsA total of 1029 valid questionnaires were obtained, resulting in an effective response rate of 93.46%. The average score on the ICU Nurse Compassion Fatigue Scale was 60.00 ± 27.36 points. Three distinct profiles were identified: low compassion fatigue-low secondary trauma type (33.04%), moderate compassion fatigue-overall fluctuation type (48.30%), and high compassion fatigue-high burnout type (18.66%). Multivariate logistic regression analysis revealed that health status, sleep quality, highest education level, occupational stress, professional identity, and social support significantly influence the potential compassion fatigue profiles among critical care nurses ( Show less

Opicinumab, a human monoclonal antibody against LINGO-1, is hypothesized to promote remyelination by enhancing the differentiation of oligodendrocyte progenitor cells. The objective of the study is to investigate the efficacy and safety of opicinumab as an add-on therapy to anti-inflammatory disease-modifying therapies (DMTs) in participants with relapsing multiple sclerosis (RMS). Participants with RMS aged 18-58 years, with disease duration up to 20 years, were randomized 1:1 to receive intravenous infusions of placebo or opicinumab every 4 weeks for 72 weeks. Primary endpoint was Overall Disability Response Score (ODRS) over 72 weeks. The study enrolled 263 participants. Adjusted mean difference (95% confidence interval (CI)) on ODRS was 0.15 (-0.05 to 0.35; Although the AFFINITY study did not show significant difference in mean ODRS between opicinumab and placebo groups, data from AFFINITY interpreted with the previous SYNERGY study may inform the design of future remyelination trials. gov identifier:(NCT03222973). Show less

Accumulating evidence indicates that epigenetic and post-transcriptional mechanisms interact to shape stress vulnerability and the adaptive capacity of the central nervous system (CNS). This review aimed to identify molecular markers with potential prognostic value for stress-induced CNS disorders. We analyzed 93 publications (2008-2025) identified in PubMed, Scopus, Web of Science Core Collection, and the Cochrane Library, including 80 original experimental and clinical studies, as well as 13 reviews and meta-analyses addressing epigenetic regulation, hypothalamic-pituitary-adrenal (HPA) axis function, CNS remodeling, and therapeutic or environmental modulation in stress-exposed models and clinical cohorts with stress-related disorders. Across studies, altered methylation of Show less

Parkinson's disease (PD) remains a challenging disease for treatment, which is usually polypharmacological. In addition to motor symptoms, non-motor symptoms such as depression are present in approximately 40% of patients, contributing to the loss of quality of life. In the last two decades, a growing body of evidence has emerged regarding the involvement of the microbiota-gut-brain axis in both PD and depression. Fructooligosaccharides (FOS) and galactooligosaccharides (GOS) are prebiotic fibers that can be fermented by the gut microbiota, which produce metabolites called short-chain fatty acids (SCFAs), whose effects can contribute to improvement in neurodegenerative and psychiatric conditions. This study analyzed the effects of FOS and GOS administration in a rotenone-induced PD model and demonstrated a relief of motor symptoms and depressive-like behavior, followed by an increase of brain serotonin and its respective receptor (SERT). FOS and GOS treatment also led to an increase in SCFAs-producing gut bacteria with significantly higher levels of serum and brain butyrate. Furthermore, in the intestine, prebiotics reduced the accumulation of α-synuclein, decreased inflammation, and improved the expression of zonula occludens and occludin. FOS and GOS also attenuated the loss of dopaminergic neurons and reduced neuroinflammation by decreasing α-synuclein, IBA-1, GFAP, iNOS, p-NFkB, and IL1-β levels in the substantia nigra and prefrontal cortex. In addition, these prebiotics improved neuroplasticity by promoting the expression of butyrate receptors (GPR43 and GPR109), BDNF, p-CREB, and synaptic protein PSD-95. In conclusion, FOS and GOS administration attenuatted depressive-like behavior, neuroinflammation, and synaptic plasticity in Parkinson's disease by modulating butyrate-producing gut bacteria. Show less

Persistent pulmonary hypertension of newborn (PPHN) occurs due to the impairment in the expected fall in pulmonary vascular resistance during the fetal to neonatal circulatory transition, with a prevalence of 1.9 per 1000 live births, and a significant mortality rate of 4-33%. We aimed to systematically review the genetic variants associated with PPHN in term and late preterm infants without a known genetic syndrome. In February 2025, the MEDLINE OVID, SCOPUS, and COCHRANE databases were searched for eligible studies without publication date restriction. Our review included cohort studies, case-control studies, and case series that examined the association of PPHN and genetic variants in term and late preterm infants. We extracted data regarding the methodology, participant characteristics, and outcome measures. We included nine studies (7 case-control studies and 2 cohort studies) that enrolled 1,494 participants. The risk of bias assessment using the Quality of Genetic Association Studies tool showed that 91% of the studies were of moderate or good quality. Our review found reports of positive associations between specific genetic variants in genes such as CPS1, CRHR1, NOTCH3, EDN1, EPAS1, WWC2, ABCA3, RFX3, EP300, GNA11, PKLR, SLC2A1, BMPR2, and EGLN1. One study reported no association between an ACE gene variant and PPHN. Studies of common genetic variants associated with an increased risk of PPHN in term and late preterm infants are limited, based on small cohorts and frequently focused on small sets of candidate genes, yielding inconsistent results across studies. Show less

Alzheimer's Disease (AD) is a disabling neurodegenerative illness characterized by Amyloid-beta (Aβ) plaque deposition, tau tangles, and neuroinflammation. These pathological characteristics lead to progressive cognitive decline, and drug therapeutic approaches are bedeviled by extreme difficulty with the Blood-Brain Barrier (BBB) that prevents most drugs from effectively crossing into the brain. Extracellular vesicle-based nanomedicine is a prospective approach to overcome this hurdle. Extracellular vesicles are endogenously derived extracellular vesicles that can cross the BBB and deliver a variety of therapeutic cargos, including small interfering RNAs (siRNAs), microRNAs (miRNAs), proteins, and other small molecules. Since they can cross the BBB and exhibit low immunogenicity and toxicity, extracellular vesicles represent a promising strategy for drug delivery against AD. Recent studies have highlighted the potential of extracellular vesiclebased treatments to deliver anti-amyloid and anti-tau therapies, neuroprotectants (e.g., antioxidants), and immune-modulatory factors. Engineered extracellular vesicles containing siRNA against βsecretase eta-site app cleaving enzyme 1 (BACE1), anti-tau oligonucleotides, and anti-inflammatory cytokines have shown promising preclinical efficacy by reducing Aβ deposition, tau aggregation, and neuroinflammation. These changes have been associated with enhanced cognitive function. Besides, extracellular vesicle-based systems were investigated for gene-editing therapeutics with Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated protein 9 (CRISPR/ Cas9) and Antisense Oligonucleotides (ASOs). Besides scalability concerns, cargo-loading efficiency, and long-term toxicity, extracellular vesicle-based nanomedicine is an innovative platform for targeted drug deli. Show less

The formulation of therapeutic proteins such as Brain-Derived Neurotrophic Factor (BDNF) remains difficult because of their inherent instability and limited bioavailability, especially in central nervous system delivery. In this study, we propose an integrated computational-experimental workflow for the rational selection of excipients to optimize BDNF-loaded cubosomal formulations. Structure-based computational analyses-including SiteMap evaluation, molecular docking, and molecular dynamics (MD) simulations-were used to characterize potential binding sites, and assess the molecular compatibility of lipids, stabilizers, and hydrotropes with BDNF. Among the screened excipients, phytantriol showed the most favorable polar and hydrophobic interactions with the protein, while Tween 80 and PEG 200 were identified as the preferred stabilizer and hydrotrope, respectively. The MD trajectories revealed that protein-excipient contacts were transient yet overall stabilizing, helping the protein maintain its conformational integrity under simulated conditions. Experimental confirmation using Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy supported these observations by demonstrating that BDNF's secondary structure was preserved in the presence of the selected excipients. This study provides molecular-level insight into excipient-protein interactions and demonstrates a predictive strategy for guiding the design of stable neurotrophin formulations. Show less

Research focused on adult eating styles would benefit from investigating whether latent profiles of appetitive and emotion-related impulsivity traits differ in eating disorder (ED) and general psychopathology. This study identified and validated latent eating profiles based on appetitive and emotion-related impulsivity traits. We conducted a cross-sectional study in a non-clinical sample of 232 adults who completed an online battery of questionnaires assessing appetitive traits, emotion-related impulsivity, ED symptomatology, anxiety, depression, stress, and other clinical and background characteristics. We fitted latent profile analysis (LPA) models with 2-8 classes on the dataset without multivariate outliers (N = 223). After retaining the best profile solution, we compared latent classes using ANCOVAs and Tukey post-hoc tests, controlling for age. The best-fitting model revealed four distinct profiles: Resilient Eaters (23.30%), with the lowest food responsiveness and emotion-related impulsivity; Moderate Eaters (46.27%), showing higher food avoidance and behavioral emotion-related impulsivity; Hedonic Eaters (14.03%), characterized by the highest enjoyment of food and lower emotion-related impulsivity; and Impulsive Eaters (16.40%), with the highest food responsiveness and emotion-related impulsivity. Resilient Eaters exhibited the most adaptive profile, with higher general and ED-specific flexibility and lower general ED psychopathology, depression, anxiety, and stress, compared to Moderate and Impulsive Eaters. Moderate and Hedonic Eaters showed intermediate levels of ED symptomatology and psychological distress, whereas Impulsive Eaters displayed the most maladaptive profile. Classifying eating profiles based on appetitive and impulsive traits has the potential to advance screening for complex forms of ED psychopathology. Show less