👤 Yu-Ting Su

Recent studies highlight the role of uric acid in tumor development, but its impact on prostate cancer (PCa) remains underexplored. This study aimed to investigate how uric acid influences PCa prognosis by analyzing transcriptomic data on PCa and uric acid-related genes (UARGs) from public databases. Differential expression analysis, protein-protein interaction (PPI) network, univariate Cox regression, and machine learning were used to identify prognostic genes. A risk model was then constructed based on these genes. Six prognostic genes (AHSG, AOX1, APOC1, LPL, NKX2-2, NKX6-1) were identified through the analysis of 1 433 differentially expressed genes (DEGs) and 3 806 UARGs. The risk model showed strong predictive ability, with the high-risk group (HRG) exhibiting poorer prognosis. Additionally, 10 immune cell types were significantly different between risk groups, with the HRG showing higher tumor mutation burden. A total of 8 drugs were found to correlate with risk scores. Enrichment analysis revealed that AHSG, AOX1, and APOC1 were linked to oxidative stress and Parkinson's disease, while NKX2-2 and NKX6-1 were associated with RNA degradation. These findings suggest that oxidative stress may be a key mechanism in PCa progression. This study offers a novel perspective on PCa treatment by identifying 6 prognostic genes and providing a prognostic risk model. Show less

The increasing prevalence of age-related osteoporosis has emerged as a critical public health issue in the context of the globally aging population. Chronic oxidative stress, induced by excessive reactive oxygen species (ROS) associated with aging, is a critical factor underlying the development of osteoporosis in elderly individuals and a diminished capacity for bone formation and osteogenic differentiation. However, the mechanism underlying age-related osteoporosis remains unclear. MACF1 (microtubule actin crosslinking factor 1) is an essential factor that regulates bone formation and development, and exhibits reduced expression as humans age. In this study, we used MACF1 conditional knockout (MACF1-cKO) mice as a premature aging model and found that MACF1-cKO mice exhibited chronic oxidative stress. Moreover, the expression level, nuclear translocation, and transcriptional activity of FoxO1 were promoted in MACF1 deficient osteoblastic cells. In addition, the binding of FoxO1 to β-catenin was enhanced, increasing the transcriptional activity of the FoxO1/β-catenin pathway in MACF1 deficient osteoblastic cells. The enhanced FoxO1/β-catenin pathway competitively weakens the binding of β-catenin to TCF7 and decreases the activity of the TCF7/β-catenin pathway. Our study showed that FoxO1 responded to chronic oxidative stress induced by MACF1 deficiency to determine β-catenin fate and regulate osteoblast differentiation during senile osteoporosis. Show less

Schizophrenia (SZ) is characterized by excitation-inhibition (E-I) imbalance as a core pathophysiological feature, but its molecular underpinnings remain elusive. Susceptibility gene Roundabout2 (Robo2), which regulates E-I balance in the central nervous system, may play a critical role in the pathogenesis of SZ by contributing to this dysregulation. We conducted a transcriptomic analysis of Robo2 in postmortem brain tissues from patients with SZ and controls using the GEO/GSE datasets. The plasma levels of Robo2 were quantified in clinical cohorts via ELISA. We assessed the correlation between plasma Robo2 levels and clinical assessments (Positive and Negative Syndrome Scale [PANSS] and MATRICS Consensus Cognitive Battery [MCCB]) or neurophysiological measures (functional near-infrared spectroscopy [fNIRS] and event-related potentials). Rats with hippocampal Robo2 knockdown underwent comprehensive behavioral, electrophysiological, and ultrastructural (Golgi staining) assessments. Proteomic sequencing with pathway enrichment analysis was conducted to identify downstream molecular mediators. Hippocampal and plasma Robo2 expression were significantly downregulated in patients with SZ. The plasma levels of Robo2 were inversely correlated with PANSS scores and positively associated with MCCB performance. Neurophysiological correlations revealed positive associations between Robo2 and dorsolateral prefrontal cortex activation (fNIRS and P300 peak amplitude). Robo2-deficient rats exhibited anxiety-like behaviors, cognitive impairments, social withdrawal, and sensory gating abnormalities, accompanied by decreased dendritic spine density and increased hippocampal field potential power. Proteomics identified disrupted GABAergic/glutamatergic synaptic pathways, with neurexin-3 (Nrxn3) downregulation emerging as a potential downstream candidate. Our findings established Robo2-Nrxn3 deficiency as a potential molecular hub linking E-I imbalance to SZ-associated behavioral and neurophysiological deficits, highlighting novel therapeutic targets for E-I modulation. Show less

Perfluorooctane sulfonate (PFOS), a pervasive and persistent environmental pollutant, has been epidemiologically linked to thyroid disorders, but its toxic effects on papillary thyroid carcinoma (PTC) remain unclear. This study provides the clinical evidence that PFOS accumulates at significantly higher levels in human PTC tumor tissues compared to adjacent normal tissues (p = 0.037), indicating tissue-specific bioaccumulation. To investigate its health impact, we modeled chronic environmental exposure by treating human PTC cells with low, environmentally relevant concentrations of PFOS (0.01, 0.05 μM). Chronic exposure markedly enhanced malignant phenotypes, including proliferation, migration, and invasion. Mechanistically, PFOS activated the PI3K/AKT/mTOR signaling pathway, which subsequently drove epithelial-mesenchymal transition (EMT), as evidenced by upregulation of β-catenin and SNAI1, and increased expression of matrix metalloproteinase (MMP-2 and MMP-9). These pro-tumor effects were partially reversed by the pharmacological inhibitor BEZ235, which targets PI3K/mTOR. In vivo validation using a mouse xenograft model confirmed that PFOS exposure promotes tumor growth and upregulates the same pathway and effector molecules. This study provides integrated clinical and experimental evidence that PFOS exposure at environmentally relevant concentrations promotes PTC progression by inducing PI3K/AKT/mTOR-mediated EMT and associated enzyme secretion. These findings offer crucial experimental insight into the toxic role of PFOS as an environmental contaminant in thyroid tumors and underscore the urgent need for enhanced environmental health risk assessment and regulatory action. Show less

Myocardial hypertrophy is one of the most prominent features of heart failure. SET domain-containing protein 7 (Setd7), a catalytic enzyme responsible for histone H3K4 methylation, has been implicated in various cardiac diseases. In this study we investigated whether Setd7 contributed to the development of cardiac hypertrophy. Male mice were subjected to a hypobaric hypoxic environment for 8 weeks; neonatal rat cardiomyocytes (NRCMs) exposed to hypoxia for 6 h. We showed that hypoxic stimulation significantly upregulated the expression levels of Setd7 along with the expression of hypertrophic markers ANP and BNP in NRCMs. By conducting loss- and gain-of-function assays, we demonstrated that Setd7 modulated the hypertrophic and inflammatory markers in hypoxic cardiomyocytes. We further revealed that Setd7-mediated activation of E2F1 (E2 promoter binding factor 1) triggered the expression of E3 ubiquitin protein ligases WWP2, which catalyzed the ubiquitination and degradation of glutathione peroxidase 4 (GPx4), a critical lipid peroxide-reducing enzyme. This degradation drove extensive lipid peroxidation, thereby exacerbating pathological cardiac hypertrophy. Notably, GPx4 inhibition by ras-selective lethal small molecule 3 (RSL3) abolished the antihypertrophic effects of Setd7 knockdown in cardiomyocytes, underscoring the pivotal role of lipid peroxidation in Setd7-mediated hypertrophic responses. In summary, Setd7 promotes hypoxia-induced cardiac hypertrophy through the Setd7-E2F1-WWP2-GPx4 signaling pathway, suggesting that targeting Setd7 is a promising therapeutic strategy to alleviate hypoxia-induced myocardial hypertrophy. Show less

Patients with obstructive sleep apnea (OSA) experience chronic intermittent hypoxia (CIH). OSA patients and CIH-treated rodents exhibit overactive sympathetic nervous system and hypertension, mediated through hyperactive carotid body (CB) chemoreflex. Activation of olfactory receptor 78 (Olfr78) by hydrogen sulfide (H2S) is implicated in CB activation and sympathetic nerve responses to CIH, but the downstream signaling pathways remain unknown. Given that odorant receptor signaling is coupled to adenylyl cyclase 3 (Adcy3), we hypothesized that Adcy3-dependent cyclic adenosine monophosphate (cAMP) contributes to CB and sympathetic responses to CIH. Our findings show that CIH increases cAMP levels in the CB, a response absent in Adcy3, Cth (encoding CSE), and Olfr78 null mice. CBs from Cth and Olfr78 mutant mice lacked a persulfidation response to CIH, indicating that Adcy3 activation requires Olfr78 activation by H2S in CIH. CIH also enhanced glomus cell Ca2+ influx, an effect absent in Cnga2 (encoding cyclic nucleotide-gated channel alpha2 subunit) and Adcy3 mutants, suggesting that CIH-induced cAMP mediates enhanced Ca2+ responses through cyclic nucleotide-gated channels. Furthermore, Adcy3 null mice did not exhibit either CB activation or sympathetic activation by CIH. These results demonstrate that Adcy3-dependent cAMP is a downstream signaling pathway to H2S/Olfr78, mediating CIH-induced CB activation, sympathetic activity and hypertension. Show less

The prevalence of childhood obesity is increasing worldwide, along with the associated common comorbidities of type 2 diabetes and cardiovascular disease in later life. Motivated by evidence for a strong genetic component, our prior genome-wide association study (GWAS) efforts for childhood obesity revealed 19 independent signals for the trait; however, the mechanism of action of these loci remains to be elucidated. To molecularly characterize these childhood obesity loci, we sought to determine the underlying causal variants and the corresponding effector genes within diverse cellular contexts. Integrating childhood obesity GWAS summary statistics with our existing 3D genomic datasets for 57 human cell types, consisting of high-resolution promoter-focused Capture-C/Hi-C, ATAC-seq, and RNA-seq, we applied stratified LD score regression and calculated the proportion of genome-wide SNP heritability attributable to cell type-specific features, revealing pancreatic alpha cell enrichment as the most statistically significant. Subsequent chromatin contact-based fine-mapping was carried out for genome-wide significant childhood obesity loci and their linkage disequilibrium proxies to implicate effector genes, yielded the most abundant number of candidate variants and target genes at the Show less

Perioperative neurocognitive disorder (PND) describes a range of cognitive impairments associated with surgery and anaesthesia, often driven by neuroinflammation. This study explored a novel adult mouse model, in which preoperative subclinical infection, induced by low-dose lipopolysaccharide (LPS) in combination with surgery, led to cognitive dysfunction in adult mice. Adult male C57BL/6J mice were treated with 0.75 mg/kg LPS two hours before undergoing tibial fracture fixation or appendicectomy. Spontaneous activity and anxiety-like behaviours were tested by open field test. Cognitive outcomes were evaluated using the novel object recognition test and morris water maze. Inflammatory markers and synaptic proteins in the hippocampus were analysed through ELISA, RT-qPCR, and Western blot, while proteomics provided deeper insights into molecular changes. We found that preoperative LPS sensitised the immune system, leading to heightened neuroinflammation and microglial activation after surgery. This was accompanied by memory and learning impairments. Key synaptic proteins, including PSD-95, GAP-43, SYN and mature BDNF, were significantly reduced, indicating disrupted synaptic function. Proteomics revealed changes in pathways related to immune responses, synaptic organisation, and energy metabolism, providing a potential molecular basis for these cognitive deficits. This study provided a practical adult mouse model for PND, demonstrating that low-dose LPS followed by surgery induced an inflammatory response, leading to postoperative impairments in learning and memory. Show less

Perioperative neurocognitive disorder (PND) is a common complication following thoracic surgery and often leading to poor outcomes. Despite ongoing research, effective treatments for late PND remain limited. Identifying reliable biomarkers for early diagnosis is, therefore, essential. A prospective cohort study was conducted with 60 elderly patients undergoing thoracic surgery. Serum samples were collected within 10 minutes prior to anesthesia and following extubation to measure adiponectin (APN), cyclic adenosine monophosphate (cAMP), protein kinase A (PKA), aquaporin-4 (AQP4) and brain-derived neurotrophic factor (BDNF). Among PND patients, serum APN, PKA, AQP4, and BDNF levels were markedly decreased compared with the normal group. While serum cAMP (HR = 1.087, p = 0.695, 95% CI [0.284-4.166]) and PKA (HR = 0.996, p = 0.09, 95% CI [0.491-0.947]) were not significantly correlated with PND, serum APN (HR = 0.307, 95% CI [0.113-0.835], p = 0.021), AQP4 (HR = 0.204, 95% CI [0.060-0.697], p = 0.011), and BDNF (HR = 0.382, 95% CI [0.177-0.823], p = 0.014) were protective factors against PND. ROC analysis demonstrated that APN (AUC = 0.68, 95% CI [0.51-0.87]), AQP4 (AUC = 0.73, 95% CI [0.59-0.87]), BDNF (AUC = 0.73, 95% CI [0.59-0.87]), and the model of combining those biomarkers (AUC = 0.91, 95% CI [0.83-0.99]) could predict PND. PND patients exhibited a lower protective stress response to surgical trauma. High serum APN, AQP4, and BDNF levels were independent protective factors for PND, and a combined model of these biomarkers showed predictive potential for PND. Show less

Deep Mutational Scanning (DMS) is an emerging method to systematically test the functional consequences of thousands of sequence changes to a protein target in a single experiment. Because of its utility in interpreting both human variant effects and protein structure-function relationships, it holds substantial promise to improve drug discovery and clinical development. However, applications in this domain require improved experimental and analytical methods. To address this need, we report novel DMS methods to precisely and quantitatively interrogate disease-relevant mechanisms, protein-ligand interactions, and assess predicted response to drug treatment. Using these methods, we performed a DMS of the melanocortin-4 receptor (MC4R), a G-protein-coupled receptor (GPCR) implicated in obesity and an active target of drug development efforts. We assessed the effects of >6600 single amino acid substitutions on MC4R's function across 18 distinct experimental conditions, resulting in >20 million unique measurements. From this, we identified variants that have unique effects on MC4R-mediated Gα Show less

To investigate the impact of obesity on brain structure and cognition using large neuroimaging and genetic data. Associations between body mass index (BMI), gray matter volume (GMV), whiter matter hyper-intensities (WMH), and fluid intelligence score (FIS) were estimated in 30283 participants from the UK Biobank. Longitudinal data analysis was conducted. Genome-wide association studies were applied to explore the genetic loci associations among BMI, GMV, WMH, and FIS. Mendelian Randomization analyses were applied to further estimate the effects of obesity on changes in the brain and cognition. The observational analysis revealed that BMI was negatively associated with GMV (r = -0.15, p < 1 The phenotypic and genetic association between obesity and aging brain and cognitive decline suggested that weight control could be a promising strategy for slowing the aging brain. Show less

Hypertriglyceridemia, characterized by increased triglyceride (TG) concentrations, is considered the most important risk factor for cardiometabolic disorders, including dyslipidemia, atherosclerotic cardiovascular diseases, and non-alcoholic fatty liver disease (NAFLD). Recently, the angiopoietin-like protein (ANGPTL) family, which comprises ANGPTL1 to ANGPTL8, was confirmed to play an important role in modulating lipoprotein lipase (LPL) activity. However, understanding of the underlying mechanisms remains limited. Importantly, emerging evidence has linked several transcriptional and post-transcriptional factors to the potential alteration of TG metabolism via ANGPTL proteins. This review focused on the similarities and differences in the expression, structural features, and modulatory profile of three ANGPTLs: ANGPTL3, ANGPTL4, and ANGPTL8. In addition, the regulatory functions of those three ANGPTLs in modulating LPL were summarized to provide potential therapeutic and clinical strategies for hypertriglyceridemia and its related cardiometabolic disorders. Show less

Dormant lung adenocarcinoma (LUAD) cells in the bone microenvironment can re-emerge as metastatic disease through osteoclast interactions. Using a 3D dormancy model and a mouse bone metastasis model, this study reveals that arachidonic acid (AA) is the initiating molecule transferred from osteoclasts to dormant LUAD cells, triggering their activation. Dormant LUAD cells uptake AA through CD36, which activates the PPARγ-ANGPTL4 pathway and activates tumor cells. There is a dose-response relationship in the activation effect of AA, and inhibiting AA metabolism prevents this reactivation. The study also finds that the serum levels of AA and ANGPTL4 are significantly elevated in patients with clinical bone metastases compared to those without. This research confirms that osteoclasts transmit AA via the CD36-PPARγ-ANGPTL4 axis to activate dormant LUAD cells, suggesting that AA and ANGPTL4 may serve as valuable biomarkers and potential clinical applications in treatment and prediction of LUAD bone metastasis. Show less

Cellular senescence is a hallmark for cancers, particularly in lung adenocarcinoma (LUAD). This study developed a risk model using senescence signature genes for LUAD patients. Based on the RNA-seq, clinical information and mutation data of LUAD patients collected from the TCGA and GEO database, we obtained 102 endotheliocyte senescence-related genes. The "ConsensusClusterPlus" R package was employed for unsupervised cluster analysis, and the "limma" was used for the differentially expressed gene (DEG) analysis. A prognosis model was created by univariate and multivariate Cox regression analysis combined with Lasso regression utilizing the "survival" and "glmnet" packages. KM survival and receiver operator characteristic curve analyses were conducted applying the "survival" and "timeROC" packages. "MCPcounter" package was used for immune infiltration analysis. Immunotherapy response analysis was performed based on the IMvigor210 and GSE78220 cohort, and drug sensitivity was predicted by the "pRRophetic" package. Cell invasion and migration were tested by carrying out Transwell and wound healing assays. According to the results, a total of 32 genes related to endotheliocyte senescence were screened to assign patients into C1 and C2 subtypes. The C2 subtype showed a significantly worse prognosis and an overall higher somatic mutation frequency, which was associated with increased activation of cancer pathways, including Myc_targets2 and angiogenesis. Then, based on the DEGs between the two subtypes, we constructed a five-gene RiskScore model with a strong classification effectiveness for short- and long-term OS prediction. High- and low-risk groups of LUAD patients were classified by the RiskScore. High-risk patients, characterized by lower immune infiltration, had poorer outcomes in both training and validation datasets. The RiskScore was associated with the immunotherapy response in LUAD. Finally, we found that potential drugs such as Cisplatin can benefit high-risk LUAD patients. In-vitro experiments demonstrated that silencing of Angiopoietin-like 4 (ANGPTL4), Gap Junction Protein Beta 3 (GJB3), Family with sequence similarity 83-member A (FAM83A), and Anillin (ANLN) reduced the number of invasive cells and the wound healing rate, while silencing of solute carrier family 34 member 2 (SLC34A2) had the opposite effect. This study, collectively speaking, developed a prognosis model with senescence signature genes to facilitate the diagnosis and treatment of LUAD. Show less

This study investigates the differences in ligand-receptor interactions between the communication network of vascular endothelial cells (ECs) and photoreceptor cells (PRCs)in diabetic retinopathy (DR) the mechanism was verified by animal experiments. The GSE209872 data set, including retinal specimens from five Sprague-Dawley rats induced by streptozotocin, was obtained from Gene Expression Omnibus. CM and EC data were extracted individually for reclustering, functional enrichment and trajectory analyses. Cell communication analysis was conducted to investigate the altered signals and significant ligand-receptor interactions. Moreover, novel ligand-receptor interactions were validated using immunofluorescence staining using 2, 4 and 8 weeks DR model; DR was treated with AAV-shANGPTL4, and retinal function was detected by Haematoxylin and eosin staining (HE), TUNEL and ELISA. The expression of ligand-receptor in DR Retina was detected by qPCR and immunohistochemistry. Nine cell types were determined in DR. Cellular communication results revealed four signalling pathways, including PTN, MK, ANGPTL and CXCL, that were significantly changed in DR. Furthermore, 3 ligand-receptor pairs (Ptn-Ncl, Mkd-Ncl and Angptl4-Sdc4) were obviously upregulated between ECs and PRCs, the expression of which was verified via immunofluorescence in the DR model. After treatment with AAV-shANGPTL4, the retinal thickness and average density of RGCs were decreased (p < 0.05). TUNEL staining showed that knocking down ANGPTL4 reduced the apoptosis of DR (p < 0.05), and VEGF and IGF-1 expression were downregulated (p < 0.01). The expression of ligand-receptors also decreased in the DR Model (p < 0.01). The vascular ECs and PRCs demonstrate significant heterogeneities in DR. ANGPTL4 was a decreased ligand-receptor expression and improved retinal function as a potential therapeutic target against DR. Show less

Fibrotic remodeling of nucleus pulposus (NP) leads to structural and mechanical anomalies of intervertebral discs that prone to degeneration, leading to low back pain incidence and disability. Emergence of fibroblastic cells in disc degeneration has been reported, yet their nature and origin remain elusive. In this study, we performed an integrative analysis of multiple single-cell RNA sequencing datasets to interrogate the cellular heterogeneity and fibroblast-like entities in degenerative human NP specimens. We found that disc degeneration severity is associated with an enrichment of fibrocyte phenotype, characterized by CD45 and collagen I dual positivity, and expression of myofibroblast marker α-smooth muscle actin. Refined clustering and classification distinguished the fibrocyte-like populations as subtypes in the NP cells - and immunocytes-clusters, expressing disc degeneration markers HTRA1 and ANGPTL4 and genes related to response to TGF-β. In injury-induced mouse disc degeneration model, fibrocytes were found recruited into the NP undergoing fibrosis and adopted a myofibroblast phenotype. Depleting the fibrocytes in CD11b-DTR mice in which myeloid-derived lineages were ablated by diphtheria toxin could markedly attenuate fibrous modeling and myofibroblast formation in the NP of the degenerative discs, and prevent disc height loss and histomorphological abnormalities. Marker analysis supports that disc degeneration progression is dependent on a function of CD45 Show less

Liver and lung are the most common metastatic sites in colorectal cancer (CRC), where the tumor microenvironment (TME) plays a crucial role in the progression and metastasis of CRC. Understanding the interactions between various types of cells in the TME can suggest innovative therapeutic strategies. Using single-cell RNA sequencing (scRNA-Seq) and clinical samples, fibroblast growth factor-19 (FGF19, rodent FGF15) is found to mediate a significant interaction between CRC cells and cancer-associated fibroblasts (CAFs), activating the hepatic stellate cells (HSCs)-to-CAFs differentiation. In various CRC metastatic mouse models, it is shown that FGF15 has a more pronounced effect on liver metastasis compared to pulmonary metastasis. More importantly, the differentially expressed genes (DEGs) are also identified from the RNA-Seq dataset upon the activation of HSCs by FGF19 and compared the DEGs in matched primary and metastatic mRNA samples from patients with CRC liver metastasis (CRCLM), it is found that the ANGPTL4 gene is significantly associated with HSCs activation. Different mouse models also demonstrated the impact of the FGF19/ANGPTL4 axis on the severity of CRCLM. Importantly, disruption of this axis significantly inhibits CRCLM in vivo. This study is among the first to demonstrate the impact of the FGF19/ANGPTL4 axis on CRCLM, offering a novel therapeutic strategy. Show less

Pancreatic cancer (PC), characterized by the absence of effective biomarkers and therapies, remains highly fatal. Data regarding the correlations between PC risk and individual plasma proteome known for minimally invasive biomarkers are scarce. Here, we analyzed 1,345 human plasma proteins using proteome-wide association studies, identifying 78 proteins significantly associated with PC risk. Of these, four proteins (ROR1, FN1, APOA5, and ABO) showed the most substantial causal link to PC, confirmed through Mendelian randomization and colocalization analyses. Data from two clinical cohorts further demonstrated that FN1 and ABO were notably overexpressed in both blood and tumor samples from PC patients, compared to healthy controls or para-tumor tissues. Additionally, elevated FN1 and ABO levels correlated with shorter median survival in patients. Multiple drugs targeting FN1 or ROR1 are available or in clinical trials. These findings suggest that plasma protein FN1 associated with PC holds potential as both prognostic biomarkers and therapeutic targets. Show less

There are limited data on the use of whole-exome sequencing (WES) to diagnose severe hypertriglyceridemia. Our aim was to identify candidate genes linked to triglyceride levels via a genome-wide association study (GWAS) and to recruit participants with severe hypertriglyceridemia for WES to assess allelic variants in the candidate genes. A GWAS was conducted involving 120,140 participants to identify lead loci associated with blood triglyceride levels. Following the identification of these lead loci, WES was performed on DNA samples from 29 participants with hypertriglyceridemia whose triglyceride levels exceeded 800 mg/dL to assess variations in the corresponding genes. In the GWAS of 120,140 participants, the apolipoprotein A5 (APOA5) locus on chromosome 11 showed the strongest association with blood triglyceride levels (lead single nucleotide polymorphism [SNP] rs2075291; P=3.07×10 Our study confirms the role of known genetic loci in triglyceride metabolism and hypertriglyceridemia while uncovering novel loci, offering new perspectives on lipid regulation and potential avenues for therapeutic advancements. Show less

Coronary heart disease (CHD) has a significant co-morbid association with chronic kidney disease (CKD), but identification tools for the risk of concomitant CKD in patients with CHD are still lacking. The purpose of this research was to construct machine learning (ML) models for identifying undetected CKD in CHD patients. 1786 CHD patients undergoing coronary intervention were retrospectively included. Lasso regression and multifactor logistic regression were used to screen feature variables. Five ML models, ie, logistic regression (LR), support vector machine (SVM), random forest (RF), gradient boosting machine (GBM), and extreme gradient boosting (XGBoost), were constructed. Participants were divided into the training set and validation set in a 7:3 ratio. The evaluation metrics included the area under the curve, calibration curve, and decision curve. Totally, 1786 CHD patients were enrolled and split into training (70%) and validation (30%) sets. The prevalence of CKD was 21.8% (390/1786). Multivariate logistic regression analysis showed that men, advanced age, hypertension, diabetes mellitus, history of atrial fibrillation (AF), high Gensini, low hemoglobin, low plateletcrit (PCT), high triglycerides (TG), high lipoprotein(a) (Lp(a)), hyperkalemia, high uric acid to albumin ratio (UAR), high systemic inflammation response index (SIRI), low lymphocyte to monocyte ratio (LMR), and high apolipoprotein B to apolipoprotein A1 (ApoB/ApoA1) ratio were the key clinical and laboratory test indicators of CKD. The XGBoost model performed optimally in the validation set (AUC=0.909, 95% CI 0.881 -0.937). SHapley Additive explanation analysis identified UAR, hypertension, Gensini score, age, and SIRI as the top 5 key features. The XGBoost model constructed on routine clinical data was effective in identifying CKD risk in CHD patients, with UAR as a novel strong predictor. Decision curve analysis confirmed the clinical utility of the model, indicating that it may be used to guide decisions for enhanced monitoring and early intervention over a wide range of risk thresholds. Show less

To investigate the relationship between serum lipid levels and the risk of Chronic obstructive pulmonary disease (COPD) in the UK Biobank. We performed this prospective study in 381,938 adults without COPD from UK Biobank. Serum high-density cholesterol (HDL-C), low-density cholesterol (LDL-C), total cholesterol (TC), triglyceride (TG), apolipoprotein A (ApoA) and apolipoprotein B (ApoB) were measured and classified into quintiles. Restricted cubic spline (RCS) analysis was applied to visualize the dose-response relationship between lipids and COPD risk and Cox proportional hazard models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). We documented 10,443 incident COPD cases. Nonlinear relationships were found between HDL-C, LDL-C, TC, ApoA, ApoB and COPD risk with RCS analysis (P values for non-linearity < 0.05). Accordingly, multivariable-adjusted regression analysis indicated abnormal HDL-C and ApoA, and low LDL-C, TC and ApoB were associated with increased risk of COPD. Compared to intermediate quintile (Q3) group, both high or low HDL-C and ApoA were associated with risk of COPD. Corresponding HRs (95% CIs) were 1.15 (1.08-1.22), 1.16 (1.09-1.23) in Q1 group and 1.08 (1.01-1.16), 1.07 (1.00-1.14) in Q5 group. For LDL-C, TC and ApoB, there were more than 29% higher risk was observed in Q1 group with HRs (95% CIs) of 1.34 (1.27-1.42), 1.38 (1.30-1.46) and 1.29 (1.21-1.37), while HRs (95% CIs) were 0.88 (0.83-0.94), 0.92 (0.86-0.98) and 0.90 (0.84-0.95) in Q5 groups. We also observed the interactions between specific lipids and age at recruitment, sex and smoking status with stratified analysis. Our study provides the first evidence demonstrating the associations between six major serum lipids and COPD risk, revealing multiple nonlinear relationships. There were U-shaped associations between serum HDL-C, ApoA and COPD risk, and L-shaped associations between LDL-C, TC, ApoB and COPD risk. Show less

Atherosclerosis (AS) is the leading cause of global mortality and morbidity. Despite the elevated expression of sodium-hydrogen exchanger 1 (NHE1) and olfactory receptor 2 (Olfr2) in plaque macrophages, their interactions within the AS context remain poorly understood. In this study, ApoE Show less

Atherosclerosis is a chronic inflammatory disease driven by dysregulated lipid metabolism and macrophage dysfunction. However, the role of An adenovirus encoding These findings demonstrate that The online version contains supplementary material available at 10.1186/s12944-025-02805-1. Show less

As a highly heterogeneous cancer, hepatocellular carcinoma (HCC) shows different response rates to the multi-kinase inhibitor lenvatinib. Thus, it is important to explore genetic biomarkers for precision lenvatinib therapy in HCC. The effect and mechanism of AXIN1 mutation on HCC were revealed by cell proliferation assay, long-term clone formation assay, sphere formation assay and small molecule inhibitor library screening. A new therapeutic strategy targeting HCC with AXIN1 mutation was evaluated in humanized models (patient-derived xenograft [PDX] and patient-derived organoid [PDO]). Based on The Cancer Genome Atlas (TCGA) data, we screened 6 most frequently lost tumour suppressor genes in HCC (TP53, ARID1A, AXIN1, CDKN2A, ARID2 and PTEN) and identified AXIN1 as the most crucial gene for lenvatinib sensitivity. Further study showed that AXIN1-knockout HCC cells had a more malignant phenotype and lower sensitivity to lenvatinib in vitro and in vivo. Mechanistically, the WNT pathway and its target gene c-Myc were activated when AXIN1 was missing, and the expression of tumour suppressor p15 was inhibited by transcription co-repressors c-Myc and Miz-1, resulting in the exacerbation of the resistant phenotype. Screening of a library of epigenetic-related enzyme inhibitors showed that a KDM5B inhibitor up-regulated p15 expression, leading to increased sensitivity to lenvatinib in vitro and in vivo. AXIN1-deficient patients have a lower response to lenvatinib, which may be associated with suppression of p15 mediated by WNT pathway activation. KDM5B inhibitors can restore p15 levels, resulting in efficient killing of resistant cells in HCC. Show less

Pericytes regulate cerebral blood flow (CBF) and excess amyloid in the brain. Pericyte dysfunction may contribute to the pathology of Alzheimer's disease (AD). Acorus tatarinowii (AT), a Chinese medicine commonly used to treat AD, protects the central nervous system. However, whether AT can regulate pericyte function and ameliorate cognitive dysfunction remains unclear. We employed a novel target recognition assay, quantitative measurement of CBF, hematoxylin and eosin staining, immunofluorescence staining, and Western blot to investigate the role of AT in improving cognitive function in patients with AD. Additionally, we investigated the therapeutic potential of β-Asarone, the primary active compound in AT, for treating AD by modulating pericyte function using transmission electron microscopy, silver staining, electrical impedance, and other methodologies. The results revealed that administration of AT effectively alleviated the cognitive impairments induced by D-galactose in mice, as evidenced by enhanced CBF, improved histological characteristics of damaged brain tissue cells, increased expression of platelet-derived growth factor-β (PDGF-β), decreased Aβ accumulation via enhanced lipoprotein receptor-related protein 1 (LRP1), and reduced beta-site APP-cleaving enzyme 1 (BACE1). β-Asarone treatment mitigated ROS release and BACE1 expression while elevating the cell index in Aβ1-40 injured mouse brain vascular pericytes (MBVP). These findings suggest that AT has the potential to enhance CBF and mitigate pericellular dysfunction, thereby ameliorating Aβ deposition in the brain and improving cognitive impairment in patients with AD. Show less

Lung adenocarcinoma (LUAD) is a leading cause of cancer deaths. Given that traditional pathologic features to diagnose LUAD do not fully reflect the biological differences in patients, the search for novel biomarkers is necessary. In this study, we obtained immune-related genes (IRGs) from ImmPort and performed cluster analysis on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) to mine LUAD subtypes with different immune characteristics. Quantitative analysis of IRGs was performed by single-sample gene set enrichment analysis (ssGSEA). Based on the univariate cox and LASSO regression methods, we screened the characteristic genes that significantly affected LUAD and built the model based on the RiskScore coefficients. The relative expressions of characteristic genes in LUAD were determined using qRT-PCR. Transwell and wound healing assays were utilized to verify the practical regulation of these genes on the migration and invasion levels of LUAD. Correlations were established between RiskScore and LUAD drug sensitivity by oncoPredict. We acquired three LUAD subtypes and demonstrated heterogeneous IRGs scores and clinical features. The molecular subtypes were differentially enriched in bile acid metabolism, fatty acid metabolism, and ECM-receptor interaction. This study identified seven genes (MS4A1, EXO1, CPS1, ZNF750, S100P, NT5E, KCNN4) as a signature affecting prognosis, from the differentially expressed genes (DEGs) among the molecular subtypes, and constructed a RiskScore for the prognosis of LUAD. Cellular experiments verified that 6 of 7 characteristic genes were expression dysregulation in LUAD cell line. Silencing of EXO1 significantly suppressed the migration and invasion of LUAD cell lines. RiskScore and immune checkpoints such as CD276, TNFSF4, and TNFSF9 showed a positive correlation. This study identified three LUAD subtypes with distinct immune characteristics and constructed a seven-gene prognostic model. This model correlates with immune checkpoint and chemotherapy sensitivity, providing new targets and strategies for clinical diagnosis and treatment. Show less

R-loop is a common chromatin feature consisting of a displaced single-stranded DNA and an RNA-DNA hybrid, and dysregulation of R-loop surveillance results in genomic and transcriptomic instability. Although the RNA moiety of most R-loops originates from linear transcripts, circular RNAs (circRNAs), outputs from back-splicing, can also hybridize with the complementary strand of a DNA duplex. However, how circRNA-associated R-loops (ciR-loops) are monitored remains elusive. Here, we identify the DEAD-box RNA helicase Brr2 as an evolutionarily-conserved ciR-loop repressor with dual roles in inhibiting circRNA generation and resolving harmful ciR-loops. Accumulation of ciR-loops caused by loss-of-function of this dual-action factor induces antisense transcription and premature transcription termination for many genes and generates significant DNA damage, which further leads to a series of defects in DNA replication, cell division and cell proliferation. We propose that functional integration of multilayered regulation by a single protein can be an efficient double protection against genome instability. Show less

Primary membranous nephropathy (pMN) often progresses to end-stage renal disease (ESRD) in the absence of immunosuppressive therapy. The immunological mechanisms driving pMN progression remain insufficiently understood. We developed a single-cell transcriptomic profile of peripheral blood mononuclear cells (PBMCs) from 11 newly-diagnosed pMN patients and 5 healthy donors. Through correlation analysis, we identified potential biomarkers for disease stratification and poor prognosis. Expression levels of several proinflammatory factors were significantly increased in patients compared to healthy donors, such as interleukins ( Our study provides insight into the immunological mechanism of pMN and identifies numerous biomarkers and signaling pathways as potential therapeutic targets for managing the progression of high-risk pMN. Show less