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Regular exercise training has been shown to significantly decrease atherosclerosis (AS) related mortality and hospitalization rates. Recent research has identified that circulating exosome-derived microRNAs (miRNAs) are closely related to the progression of AS through intercellular communication. But the role of exosome-derived miRNAs in exercise-mediated protection remains to be explored. This study proposes that exercise may ameliorate vascular dysfunction and plaque formation associated with AS by modulating the expression profile of exosomal miRNAs. In this study, ApoE Show less

Sepsis remains a leading cause of mortality in critical care, with limited reliable biomarkers that reflect upstream pathophysiology and enable early risk stratification. Apolipoprotein E (ApoE), a lipid transporter with immune-regulatory functions, has shown inconsistent associations with sepsis outcomes. Its causal and clinically actionable role in sepsis risk requires clarification. We employed a multi-layered strategy integrating Mendelian randomization, colocalization, and phenome-wide association studies across five large proteogenomic cohorts (>500,000 individuals) to identify plasma proteins causally linked to sepsis. ApoE emerged as a top candidate and was validated in a clinical cohort of 291 ICU patients and in murine sepsis models. We assessed the relationship between ApoE levels and sepsis risk using logistic regression, restricted cubic spline models, and survival analyses, and explored underlying mechanisms via cytokine profiling, histopathology, and transcriptomics. ApoE was causally associated with sepsis risk in multiple independent datasets, supported by strong genetic colocalization (posterior probability for shared causal variant PP.H4 > 0.80). In ICU patients, both low (adjusted OR 12.74, 95% CI 5.72-28.36) and high ApoE levels (adjusted OR 4.54, 95% CI 2.25-9.16) were independently associated with increased sepsis risk compared to medium levels, forming a significant U-shaped pattern (P_nonlinear < 0.001). This biphasic risk was mirrored in murine models, where both hypo- and hyper-expression of ApoE aggravated systemic inflammation, organ injury, and mortality. LDL cholesterol mediated only ~ 20% of the ApoE-sepsis association, indicating lipid-independent mechanisms. Plasma ApoE functions as a biphasic, dose-sensitive modulator of host response to sepsis. Both deficiency and excess disturb immune homeostasis and increase susceptibility, underscoring the need for precision-guided ApoE modulation in sepsis management. These findings provide a mechanistically grounded biomarker candidate and highlight new avenues for personalized therapy. Prospective trials are warranted to evaluate ApoE-targeted strategies in sepsis care. Show less

The accumulation of amyloid beta (Aβ) plaques and neurofibrillary tangles (NFTs) composed of Tau protein is two characteristic brain pathologies in Alzheimer's disease (AD). However, the Aβ hypothesis has recently faced challenges due to the limited clinical efficacy of anti-Aβ antibodies, such as aducanumab and lecanemab. This comprehensive review highlights recent advances and debates regarding the pathophysiology of Aβ peptides and plaques in AD, as well as their use as biomarkers and drug targets. Aβ aggregation is primarily driven by an imbalance between its generation from amyloid precursor protein (APP) and its clearance from the brain, processes influenced by various risk factors. The toxicity of amyloid plaques is affected by the accumulation of different Aβ species with varying lengths and post-translational modifications of Aβ. Additionally, pathways including neuroinflammation, blood-brain barrier deterioration, autophagy and mitochondrial dysfunction, lipid raft changes, and oxidative stress have pivotal roles in AD. Therefore, a clear map of Aβ's upstream regulators and downstream effectors is crucial for developing effective diagnostics and treatments for AD. Incorporating new research findings and ongoing debates surrounding the Aβ cascade hypothesis is crucial for improving early diagnosis and for guiding the development of effective treatments for AD. Show less

Acupuncture has been proposed as a therapeutic intervention for stroke recovery, yet the underlying molecular mechanisms remain poorly understood. In this study, we used a mouse model of hemorrhagic stroke induced by autologous blood injection to investigate the effects of acupuncture on post-stroke recovery at the cellular and molecular levels, utilizing single-cell RNA sequencing. Our findings revealed that acupuncture modulates the gene expression of microglia, astrocytes, and oligodendrocytes, three major glial cell types, which may contribute to the improvement of stroke-induced phenotypes. Notably, we identified a potential role of the APOE-TREM2 signaling axis, with ligand-binding interactions enhancing microglia activation and promoting their neuroprotective functions. These findings also suggested that acupuncture may promote microglia-astrocyte interactions, leading to enhanced neuroinflammation resolution and tissue repair. Our study provided new insights into the cellular mechanisms underlying acupuncture's therapeutic effects in stroke recovery and highlighted the potential of targeting glial cell-mediated pathways, including APOE-TREM2, as a strategy for improving post-stroke rehabilitation. Show less

The identification of reliable biomarkers for prostate cancer remains a pressing need in clinical oncology. Inflammatory and regulatory molecules such as NF-κB p65, apolipoprotein E (ApoE), angiopoietin-1 (Ang-1), forkhead box protein A2 (FOXA2), presenilin enhancer-2 (PEN-2) and β-amyloid precursor protein (β-APP) have been implicated in tumour biology. However, their roles in prostate cancer progression and invasion require further elucidation. Serum levels of NF-κB p65, ApoE, Ang-1, FOXA2, PEN-2 and β-APP were measured in five distinct groups: Healthy controls, benign prostatic hyperplasia, non-treated prostate cancer, radical prostatectomy and metastatic prostate cancer. Quantification was performed using validated sandwich enzyme-linked immunosorbent assay (ELISA) kits (Elabscience®, Wuhan, China), with optical density readings at 450 nm. All measurements adhered strictly to manufacturer protocols. Receiver operating characteristic curve was analysed to calculate the area under the curve (AUC) for each biomarker. ApoE (AUC = 0.83) and Ang-1 (AUC = 0.81) demonstrated the best diagnostic accuracy. PEN-2 (AUC = 0.81), FOXA2 (AUC = 0.79), and β-APP (AUC = 0.79) showed moderate-to-good discrimination, whereas NF-κB p65 (AUC = 0.76) exhibited moderate performance across disease stages. Ang-1 and ApoE exhibited promising predictive potential in prostate cancer progression, whereas NF-κB p65 and PEN-2 demonstrated modest discriminative performance. FOXA2 showed expression variation across disease stages but lacked sufficient diagnostic value. These results highlight the diverse molecular profiles involved in prostate cancer biology and underline the need for validation in larger cohorts before clinical application. Show less

Coronary heart disease (CHD) and type 2 diabetes (T2D) represent a significant global comorbidity burden, with shared yet incompletely understood molecular mechanisms. This study aimed to identify shared diagnostic biomarkers and elucidate core pathways linking CHD and T2D pathogenesis. Integrated bioinformatics of CHD/T2D transcriptomes identified shared differentially expressed genes (DEGs) and co-expression modules via Weighted Gene Co-expression Network Analysis (WGCNA). Receiver operating characteristic (ROC) analysis selected CPD, GGCT, SUZ12, and ZMYM2 as top diagnostic biomarkers. These predictions were validated using C57BL/6 and ApoE Bioinformatics revealed 328 shared DEGs, with CPD, GGCT, SUZ12, and ZMYM2 showing high diagnostic efficacy. T2D mice exhibited persistent hyperglycemia. Aortic histopathology confirmed disease-specific changes: atherosclerotic plaques in CHD and vascular basement membrane thickening in T2D. Critically, all four biomarkers showed concurrent upregulation in diseased vessels at both protein (immunofluorescence, Western blot) and mRNA (RT-qPCR) levels. This study establishes CPD, GGCT, SUZ12, and ZMYM2 as shared CHD/T2D diagnostic biomarkers. Their validated co-upregulation highlights their dual-disease diagnostic and therapeutic potential. Show less

In this study, a comprehensive bioinformatics workflow is employed to investigate the impact of APOE gene variants on Alzheimer's disease (AD) and to explore their relevance for improving therapeutic strategies. Multiple databases were screened to identify key non-synonymous single nucleotide polymorphisms (nsSNPs) in APOE. Six variants: rs769452 (L46P), rs429358 (C130R), rs267606664 (G145D), rs121918393 (R154S), rs7412 (R176C), and rs267606661 (R269G) were selected, of which five were predicted to be deleterious. Given its high interaction score (0.789), the FDA-approved AD drug Donepezil was chosen as the ligand to assess binding with both wild-type and mutant APOE proteins. Structural modeling using AlphaFold3 generated high-quality APOE structures, and in silico mutagenesis revealed mutation-dependent destabilization. AutoDock4 molecular docking was performed to evaluate binding affinities of Donepezil with the predicted active-site residues of wild-type and mutant APOE. Furthermore, 100 ns molecular dynamics simulations using AMBER20 were conducted for all APOE-Donepezil complexes. Analyses of RMSD, RMSF, and radius of gyration indicated overall structural stability, residue-level flexibility, and protein compactness throughout the simulations. Interaction profiling revealed stable hydrophobic contacts and hydrogen bonds in both wild-type and mutant complexes. Our findings suggest that structural variations arising from APOE genotypes may modulate Donepezil binding and potentially influence therapeutic response in AD patients. However, these computational predictions require validation through biophysical assays, cellular experiments, and genotype-stratified clinical studies. Integrating molecular modeling with experimental research will be essential for advancing APOE-guided precision medicine and optimizing Donepezil therapy for Alzheimer's disease. Show less

Nowadays, there is an unmet need for reliable and minimally-invasive diagnosis tools capable of detecting Alzheimer's disease at early stages. Such tools could significantly reduce the reliance on confirmatory tests that are invasive and costly, such as cerebrospinal fluid (CSF) biomarkers and neuroimaging. The aim of this study is to validate previously developed diagnosis tools (multivariate models and plasma p-Tau217 levels) in three independents cohorts. For this, a cohort was obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) including some variables (age, Apolipoprotein E (ApoE) genotype, plasma p-Tau217, CSF biomarkers) (n = 113); and two cohorts from cognitive disorders units (Hospital Universitari i Politècnic La Fe (HUiPLaFe, n = 163), Hospital Doctor Peset (n = 31)), whose plasma samples were analysed to determine plasma p-Tau217, and to evaluate the previous diagnosis tools performance. For the cohort from HUiPLaFe, the multivariate model (plasma p-Tau217, age, ApoE genotype) showed a sensitivity of 94.9% and a specificity of 88.2%; for the cohort from Hospital Doctor Peset, the sensitivity was 100% and specificity 80%; for the ADNI cohort, sensitivity was 89.5% and specificity 39.5%. Regarding the plasma p-Tau217 levels, the results were satisfactory for the cognitive disorders units; while ADNI cohort showed very low specificity. In conclusion, the multivariate model was clinically validated in independent cohorts from clinical units, representing its first step for implementation. Show less

The early, precise, and safe management of vulnerable atherosclerotic plaques (VAPs) remains a formidable clinical challenge. Here, we present a targeted nanotherapeutic approach in which osteopontin-targeted nanoparticles encapsulate luteolin (NPs-Lut) for the precise delivery and treatment of VAPs. This engineered system enables site-specific accumulation and sustained release of luteolin at plaque sites. We innovatively constructed an osteopontin-targeted drug delivery system designed for vulnerable atherosclerotic plaques, in which luteolin and atorvastatin were successfully encapsulated. The system demonstrated sustained-release capability in vitro, and its biosafety and histocompatibility were comprehensively evaluated both in vitro and in vivo. Moreover, therapeutic efficacy was further assessed in ApoE In vivo evaluation in ApoE This work provides a robust and translationally promising nanoplatform for the precision treatment of VAPs, offering a novel strategy for safe and effective intervention in atherosclerotic cardiovascular disease. Show less

The feeding rhythm is a major temporal regulator of metabolic physiology, yet its impact on microbiome-derived functional traits relevant to cardiometabolic disease remains insufficiently understood. Our previous work demonstrated that ad libitum, daytime-restricted, and nighttime-restricted feeding produce markedly different atherosclerotic outcomes in Apoe Show less

Apolipoprotein E (ApoE) affects lipid metabolism and was associated with type 2 diabetes mellitus (T2DM) complications, including diabetic peripheral neuropathy (DPN). Despite improved glycemic control, DPN prevalence continues to rise, indicating mechanisms beyond hyperglycemia. We assessed the association between The case-control study included 908 Lebanese patients with T2DM (382 with DPN, 526 without) and 695 healthy controls who underwent multimodal DPN assessment (NCS, QST, and MNSI). T2DM patients showed significantly higher frequencies of Show less

The apolipoprotein E4 (APOE4) allele is the strongest genetic risk factor for Alzheimer's disease (AD) and is linked to poorer cerebrovascular health. Cerebrovascular reactivity (CVR), an indicator of vascular reserve, and cerebral pulsatility (CP), a marker of vascular stiffness, are sensitive biomarkers of early vascular dysfunction associated with aging and AD. However, the relationship between APOE4 status and these cerebrovascular metrics remains unclear. This study investigated whether the APOE genotype influences longitudinal changes in CVR and CP, and their association with cognitive performance in cognitively unimpaired individuals. We utilized the PREVENT-AD cohort, including 101 APOE4 carriers (30 males and 71 females) and 152 non-APOE4 carriers (48 males and 104 females) aged 55 and older. Relative CVR and CP were derived from resting state functional magnetic resonance imaging data, with regional values extracted from cerebral arterial territories. Results indicated significant interactions between APOE4 status and relative CVR in the left middle cerebral artery and left posterior cerebral artery (PCA) territories. APOE4 status disaggregated analyses revealed that APOE4 carriers uniquely presented a significant decline in relative CVR within the left PCA. Furthermore, sex-specific effects were identified, with female APOE4 carriers having lower relative CVR in the right anterior cerebral artery territory compared to female non-carriers. Importantly, higher relative CVR was positively associated with better cognitive performance in APOE4 carriers. No significant effects of APOE4 status on CP were found. Together, these findings suggest that relative CVR may be an important early measure of cerebrovascular health and cognition in cognitively intact APOE4 carriers. Show less

Natural killer (NK) cells are an integral component of the tumor microenvironment, and their role in immune checkpoint inhibitors (ICI) therapy has garnered increasing attention. However, comprehensive studies on NK cells across cancers, especially their impact on immunotherapy response, remain limited. We used machine learning algorithms to establish a pan-cancer natural killer cell immunotherapy predictive model (NKCIPM) by combining single-cell RNA sequencing data from 164 samples across 6 cancer types and bulk RNA-seq data from different tumor samples. Tumor immune cell infiltration analysis, drug sensitivity analysis, and cell-cell communication were also further conducted. An upregulation of NK cell proportions post-immunotherapy and the identification of 188 NK cell differentially expressed genes were observed through single-cell RNA sequencing analysis. By integrating bulk RNA-seq data and applying machine learning algorithms, 7 key hub genes were identified, ultimately leading to the construction of NKCIPM, with APOE emerging as the most influential hub gene. Further analysis using the CIBERSORT algorithm revealed that the signature genes within this model were significantly associated with immune cell infiltration and response to ICI. Additionally, therapeutic evaluation of CHEK1 and CHEK2 targets demonstrated potential significance in the communication between B cells, NK cells, and mast cells within the context of ICI therapy. In summary, the NKCIPM model offers a valuable tool for predicting immunotherapy outcomes and informing clinical decision-making, highlighting the potential of NK cell signature genes as therapeutic targets. Show less

Bladder cancer (BCa) is a lethal cancer, but early-detection offers an opportunity to improve prognosis. Our objective was to develop a urine-based multi-marker panel for BCa detection across multiple longitudinal cohort studies in a nested case-control study. Longitudinal cohorts included healthy participants enrolled in the Southern Community Cohort Study (SCCS), Singapore Chinese Health Study (SCHS), Shanghai Women/Men Health Study (SWMHS), and Multiethnic Cohort (MEC). We measured the levels of 10 protein biomarkers (A1AT, ANG, APOE, CA9, IL8, MMP9, MMP10, PAI1, SDC1, and VEGF) in spot-voided urine samples using the multiplex immunoassay Oncuria. Single urine specimens collected from 274 participants who would go on to develop BCa in the ensuing 3‒60 months (i.e., cases) were age/sex-matched to 274 cancer-free controls. We used generalized estimating equation models, logistic regression analysis, and random forest algorithms to analyze the data. Differences in the individual biomarker levels between cases and controls were noted for ANG at 12 months ( Additional testing is needed; however preliminary results demonstrate that a multiplex immunoassay may be able to facilitate the early detection of BCa in at-risk patients. Identification of BCa at an early stage may lead to improved patient outcomes. Using large multinational patient populations, we tested the performance of the Oncuria multiplex assay to accurately predict the risk of developing bladder cancer by simultaneously analyzing the concentrations of 10 protein biomarkers in urine samples. The online version contains supplementary material available at 10.1186/s12967-025-07511-1. Show less

Aortic dissection (AD) involves complex interactions among amino acid, glucose, and lipid metabolism, exacerbating aortic inflammation and extracellular matrix (ECM) degradation, coupled with smooth muscle cell (SMC) dysfunction (phenotypic alteration, aging, apoptosis). To explore AD pathogenesis, we integrated single-cell RNA sequencing (scRNA-seq), metabolomics, machine learning, and Mendelian randomization to investigate SMC changes and gene-metabolite interactions. ScRNA-seq data (GSE213740, GSE155468) were analyzed for cell clustering and pseudo-time trajectories via Seurat and Monocle2. Metabolomics (9 samples: 6 AD, 3 controls) and machine learning validated key genes/metabolites, with Mendelian randomization assessing causal links. Nine cell subsets and 2000 variable genes were identified, with SMCs central to AD via cholesterol metabolism. APOE and PLTP were key genes; metabolomics highlighted cholesterol esters (CEs) and triglycerides (TGs) as critical metabolites. Machine learning confirmed APOE/PLTP's high predictive accuracy (AUC: 0.796-0.989). Mendelian randomization linked elevated CEs and TGs to increased AD risk (IVW: P = .04 and P = .02, respectively). This study establishes a gene-metabolite network where APOE and PLTP regulate CEs/TGs, influencing SMC function and AD progression, offering potential therapeutic targets. Show less

This study aims to identify oxidative stress-related genes (OSGs) in papillary thyroid carcinoma (PTC) and their common targets with resveratrol. Oxidative stress-related differentially expressed genes (OS-DEGs) were identified by intersecting datasets. The screened core genes were utilized to construct a prognostic model, and their prognostic value, along with their associations with clinical pathological characteristics and immune infiltration, was assessed. Subsequently, the core targets at the intersection of resveratrol and oxidative stress (OS) in PTC were screened, and their binding properties with resveratrol were analyzed. By conducting cross-database analysis, 38 OS-DEGs were identified, and 3 core genes APOE、CDKN2A、APOD were determined. The prognostic model based on core genes exhibited robust prognostic capabilities. The core genes displayed significant correlations with various clinical pathological parameters and a range of immune cells. Additionally, 13 targets of resveratrol for antioxidative stress were screened from databases. 6 high-performing targets, JUN, TGFB1, BCL2, CDKN1A, FOS, ICAM1, were revealed by topological analysis, all exhibiting binding energies lower than - 5.0 kcal/mol. Our study is the pioneering research to provide new insights into the diagnosis, prognosis, and treatment of PTC through the analysis of OSGs, presenting potential clinical implications. Furthermore, this research reveals the molecular functions associated with resveratrol and its pharmacological targets regulating OS in PTC for the first time. Show less

Alzheimer's disease (AD) is the most prevalent form of dementia and a major public health challenge. In the absence of a cure, accurate and innovative early diagnostic methods are essential for proactive life and healthcare planning. Speech metrics have shown promising potential for identifying individuals with mild cognitive impairment (MCI) and AD, prompting investigation into whether speech motor features can detect elevated risk even prior to cognitive decline. This preliminary study examined whether speech kinematic features measured during a color-word interference task could distinguish cognitively normal APOE-ε4 carriers (ε4 Sixteen cognitively normal older adults ( Although no group differences reached statistical significance after accounting for multiple testing, several features showed moderate effect sizes. The optimal SVM model achieved 87.5% cross-validated accuracy (precision 88.9%, sensitivity 88.9%, specificity 85.7%) using three features: (1) lip movement duration during the pre-interference segment, (2) average lip speed during interference, and (3) the change in lip movement range from pre- to during-interference segments (ΔDuring-Pre). These findings suggest that lip kinematic responses to mild cognitive-motor interference may capture subtle neuromotor differences associated with APOE-ε4 status in cognitively intact older adults. The identified features point to potential alterations in anticipatory motor planning, interference susceptibility, and articulatory adaptability in ε4 Show less

Atherosclerosis (AS) is a chronic inflammatory disorder driven by dysregulated lipid metabolism and remains a leading cause of cardiovascular morbidity. The Shen-Hong-Tong-Luo (SHTL) preparation has demonstrated clinical benefit in stabilizing atherosclerotic plaques, yet its molecular mechanisms are not fully defined. This research sought to elucidate the protective effects exerted by SHTL on AS progression. To investigate the impact of SHTL on macrophage function and plaque stability, we utilized ApoE SHTL markedly attenuated the progression of AS, demonstrated by reduced plaque formation within both the aortic root and aorta, diminished plasma lipid concentrations, and suppressed inflammatory responses. SHTL demonstrates significant anti-inflammatory and lipid-regulatory effects, attenuating AS progression through the PPARγ/Mfge8 pathway, thereby enhancing macrophage efferocytosis. These findings highlight a novel mechanism by which SHTL may contribute to preventing and treating atherosclerotic diseases. Show less

This study aimed to elucidate the molecular mechanisms by which celastrol (Cel) alleviates atherosclerosis (AS) through the regulation of macrophage autophagy. An AS model was established using ApoE Cel markedly reduced aortic plaque formation, ameliorated dyslipidemia, attenuated inflammatory responses, and enhanced plaque stability in ApoE Cel exerts anti-atherosclerotic effects by activating macrophage autophagy via the AMPK/ULK1 pathway, thereby improving lipid metabolism, reducing inflammation, and stabilizing plaques. These findings highlight the therapeutic potential of Cel and provide new insights into autophagy-targeted strategies against AS. Show less

This study assessed the role of nucleotide-binding domain and leucine-rich repeat containing receptor, caspase recruitment domain containing 5 (NLRC5) in macrophages in atherosclerotic plaque formation in acute coronary syndromes (ACS) by modulating the nuclear factor-kappaB (NF-κB) cascade. Peripheral blood was obtained from ACS patients and matched controls, and NLRC5 expression and DNA methylation were analyzed. In vitro, peripheral blood mononuclear cells from donors were induced into macrophage-derived foam cells and transfected with small interfering RNA negative control (si-NC) or si-NLRC5 plasmids to assess foam cell formation and cytokine release. In vivo, ApoE Show less

We demonstrated that low-intensity pulsed ultrasound (LIPUS) therapy tended to ameliorate cognitive declines in patients with early Alzheimer's disease (AD) in the pilot trial. Thus, we have started the pivotal trial in a randomized, double-blind, placebo-controlled manner (LIPUS-AD). We here report the clinical characteristics of AD patients enrolled in the trial. The major inclusion criteria included age 50-90 years of both sex, Clinical Dementia Rating (CDR) global score of 0.5∼1.0 and Japanese version of the Mini-Mental State Examination (MMSE-J) score greater than 20 at screening, positive brain Aβ-PET, and no symptomatic brain hemorrhage, infarction, or edema on brain MRI. A total of 231 subjects were finally enrolled. As compared with the pilot trial, they were characterized by older age and higher prevalence of dyslipidemia. They had lower scores of ADAS-J-cog and Modified Hachinski Ischemic Scale (MHIS), while other cognitive scores were comparable with the pilot trial. Use of cholinesterase inhibitors was less as compared with the pilot trial. Clinical characteristics of subjects in the LIPUS-AD trial largely mimic those in the pilot trial, addressing efficacy and safety of the LIPUS therapy in early AD.Clinical Trial Gov. No.: NCT05983575, jRCT No.: jRCT2032230125. Show less

In the microenvironment of atherosclerosis (AS), low-density lipoprotein (LDL) accumulates in injured endothelial areas and undergoes oxidation, thereby generating oxidized LDL (ox-LDL). The formation of ox-LDL, in turn, not only amplifies endothelial cell (EC) dysfunction but also triggers macrophage polarization into the pro-inflammatory M1 phenotype. This cascade results in increased inflammatory cytokine secretion and exacerbated lipid accumulation. Therefore, a dual-targeting strategy aimed at both ECs and macrophages to inhibit the vicious circle between inflammation and lipids is a promising avenue for AS treatment. Simvastatin (SIM)-loaded nanomicelles (PLA-PEG/SIM) were prepared using the thin-film hydration method. Then, platelet membrane (PM) was coated the nanomicelles via sonication to obtain PM@PLA-PEG/SIM dual-targeting biomimetic nanoparticles. The morphological features of the nanoparticles were assessed by transmission electron microscopy (TEM). Cytotoxicity was evaluated using the CCK-8 assay and live/dead cell staining. Their targeting ability toward ECs and macrophages was assessed by flow cytometry and confocal laser scanning microscopy (CLSM). The biosafety, targeting ability, and therapeutic efficacy of PM@PLA-PEG/SIM against AS were further validated in ApoE PM@PLA-PEG/SIM effectively reduced the drug toxicity of SIM, exhibiting good biocompatibility. In vitro, cell experiment results showed that the nanoparticles inhibited foam cell formation, decreased interleukin-6 (IL-6) expression, and increased interleukin-4 (IL-4) and interleukin-10 (IL-10) expression by promoting macrophage repolarization. In vivo, results indicated that the formulation demonstrated excellent plaque-targeting ability. More importantly, the plaque area and lipid levels in the PM@PLA-PEG/SIM group were lowest, and plaques were most stable, showing its best therapeutic efficiency. PM@PLA-PEG/SIM alleviated progression of AS by co-targeting ECs and macrophages to inhibit the vicious cycle between inflammation and lipids. Our study provides a new strategy for the treatment of the disease by the co-targeting biomimetic nanoparticle. Show less

Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders characterized by β-amyloid (Aβ) deposition, neurofibrillary tangles, neuronal loss, and neuroinflammation. It represents a growing global health crisis. Although astrocytes contribute to neuroinflammatory cascades, their molecular regulators in AD progression remains elusive. Here, through single-cell transcriptomic analysis, we identified SerpinA3N as a disease-progressive modulator upregulated in AD astrocytes, with expression levels correlating with pathological severity. Astrocytic SerpinA3N knockdown in AD mice rescued cognitive deficits across multiple behavioral tests, and concurrently attenuated neuroinflammatory responses, as evidenced by decreased astrocytic/microglial activation and reduced cytotoxic substance release. Moreover, histopathological analyses demonstrated decreased neuronal loss and Aβ deposition following SerpinA3N knockdown. Mechanistically, we elucidated that SerpinA3N cooperated with APOE to exacerbate AD pathology through NFκB signaling activation. Our study uncovers a novel astrocyte-mediated pathogenic cascade driving AD progression and establishes SerpinA3N as a promising therapeutic target for neuroinflammation modulation in AD. Show less

Atherosclerosis is often associated with inflammation and non-alcoholic liver disease due to high-cholesterol diet and the side effects of conventional treatment. This study aimed to determine the efficacy of Hypercholesterolemia induction was achieved by oral administration of feed with lard for 21 days in male Wistar rats. Next, the animals were treated with 4 mg/kg BW of BBLE (single dose) and 4 mg/kg BW of BBLE+SAE (combined dose) for 3 months, and continued to be given a high cholesterol diet. The negative control was a high cholesterol diet, and the positive control was simvastatin. Blood samples were taken to determine total cholesterol, apolipoprotein-E (Apo-E), interleukin-6, tumor necrosis factor-α, alanine aminotransferase (ALT), and aspartate aminotransferase (AST) levels. Meanwhile, the weight of the liver and histopathology preparations were weighed. Giving BBLE+SAE was able to reduce body weight, liver weight, and cholesterol levels significantly compared to negative controls ( Administration of BBLE+SAE acts as an anti-atherosclerotic and hepatoprotective agent for the liver through reducing pro-inflammatory cytokines, and its use was promising for clinical studies. Show less

Idiopathic pulmonary fibrosis (IPF) is a fatal interstitial lung disease with limited therapeutic options, thus necessitating novel strategies targeting upstream fibrogenic drivers; the exact impact of apolipoprotein E (apoE) on IPF and its therapeutic potential remain unexplored. This study aims to identify novel therapeutic targets for pulmonary fibrosis and elucidate the mechanism by which plasma apoE alleviates this condition. We conducted an integrated meta-analysis of seven plasma cohorts and two-sample Mendelian randomization to assess apoE's association with IPF risk. CRISPR-engineered APOE-deficient canines and Apoe Plasma apoE was identified as a robust protective factor against IPF, with genetically elevated levels correlating with improved pulmonary function, and its deficiency in plasma showed potential diagnostic value for IPF. APOE-deficient canines developed spontaneous pulmonary fibrosis, and Apoe Plasma apoE is a causal guardian against pulmonary fibrogenesis, inhibiting TGF-β/Smad signaling through dual receptor (LRP1/PLAU) engagement. Cross-species validation and mechanistic elucidation position RGX-104, a small-molecule LXR agonist, as a potential therapeutic candidate for clinical translation in IPF. Show less

Atherosclerosis (AS), a chronic inflammatory disease linked to oxidative stress and lipid imbalance, remains a major cardiovascular threat. Traditional herbs Salvia miltiorrhiza and Carthamus tinctorius exhibit multi-target anti-AS potential, yet their compositional complexity limits clinical translation. This study aimed to systematically identify core anti-AS components from these herbs and enhance their anti-AS efficacy via machine learning-aided screening and nanotechnology-driven codelivery. We initially pioneered a machine learning-aided hybrid strategy integrating network pharmacology and quantitative activity relationship (QSAR) modeling to identify four core anti-AS polyphenols (i.e., salvianic acid A, salvianolic acid B, protocatechuic acid, and hydroxysafflor yellow A). Subsequently, a quaternary metal-phenolic network (SSPH-MPN) was engineered for plaque-targeted codelivery, optimized via the median-effect principle for achieving a synergistic effect based on ROS scavenging efficacy. The optimized SSPH-MPN was characterized by a series of studies, including molecular dynamics simulations, UV, DLS, TEM, FTIR, XPS, and ICP-MS. The anti-AS effect of the optimized SSPH-MPN was evaluated by monitoring oxidative status (ROS levels, antioxidant enzymes SOD, GSH-Px, MDA, T-AOC), inflammatory markers (IL-1β, IL-6, TNF-α), lipid metabolism (DiI-oxLDL uptake, cholesterol efflux, blood lipid levels, lipid accumulation), and plaque areas. The results demonstrated that the optimized SSPH-MPN showed great efficiency in inhibiting lipid uptake and accumulation, and mediating cholesterol efflux in RAW 264.7 cells, and exhibited improved lipid metabolism, attenuated oxidative stress and inflammation, thus acquired diminished plaque area in apoE Show less

Phosphorylation is a crucial post-translational modification mechanism that enhances proteomic diversity, and its malfunction has been confirmed to be associated with complex traits, especially brain disorders. One of the factors contributing to this malfunction is the missense mutations given that they may alter the peptides flanking the phosphorylated residues. However, the specific effects of these missense mutations on phosphorylation remain unclear. To ascertain these, a deep learning phosphorylation prediction model (DeepMEP), which is the first to be developed on a Chinese-brain-specific phosphorylation dataset (CBMAP), was established to bridge the phosphorylation and peptides. The impact of each missense mutation on phosphorylation was subsequently quantified based on the differences between the outputs of reference and mutant protein sequences. A permutation test adjusting for the confounding factors was finally employed to estimate the enrichment for high-impact mutations in disease-associated genomic loci. DeepMEP achieved superior predictive performance compared with other existing tools on both CBMAP and publicly available datasets. Enrichment analysis revealed the high-impact mutations were significantly enriched in GWAS signals for Alzheimer’s disease (AD) and Parkinson’s disease (PD). The corresponding genes of those missense mutations overlapping with GWAS included Our study demonstrated that DeepMEP effectively captured the impact of missense mutations on phosphorylation and highlighted an enrichment of high-impact mutations in AD- and PD-associated genomic loci. The online version contains supplementary material available at 10.1186/s40246-025-00898-4. Show less