👤 Ying-Pu Sun

Cadherin-11 (CDH11), a specialized cell-cell adhesion protein, plays an essential role in tissue injury, inflammation and repair. This study aimed to investigate the role of CDH11 in severe asthma. Bronchial biopsy specimens were obtained from healthy subjects and patients with severe asthma. Two murine models of severe asthma were established using either TDI (toluene diisocyanate) or OVA (ovalbumin)/CFA (complete Freund's adjuvants). A selective CDH11 antagonist SD133 (100 mg/kg) was given to allergen-exposed mice after airway challenge. The effects of recombinant CDH11 were also tested in vivo, and FGFR1 inhibition was used to explore a possible mechanism for CDH11-induced inflammatory responses in the lung. We detected upregulated expression of CDH11 in the airway mucosa of severe asthma patients when compared with the healthy control. In the OVA/CFA-induced model, though CDH11 expression in the lung remained unchanged, pharmacological antagonism of CDH11 with SD133 dramatically decreased airway neutrophil accumulation, as well as IL-6 production, but had no effect on eosinophilic infiltration, type 2 inflammation (IL-4 and IL-5) nor airway hyperresponsiveness. In the TDI model, pulmonary CDH11 expression was upregulated. Treatment with SD133 inhibited TDI-induced airway hyperresponsiveness and neutrophilic inflammation, decreased IL-6 and TNF-α production, with no effect on airway eosinophil counts and type 2 inflammatory cytokines. In addition, intratracheal instillation of recombinant CDH11 led to neutrophil recruitment in the lungs of mice, which could be attenuated by inhibition of FGFR1 signaling. CDH11 contributes to airway neutrophilic inflammation in severe asthma through the FGFR1 pathway. Show less

Podocyte injury is central to diabetic kidney disease (DKD) pathogenesis, however, the mechanisms underlying podocyte loss remain unclear. Emerging evidence underscores the involvement of fibroblast growth factors (FGFs) in renal pathophysiology. Here we reveal a previously unappreciated role of podocyte-secreted FGF4 in safeguarding renal function. FGF4 expression is downregulated in renal tissues from DKD patients and animal models, correlating with disease severity. Podocyte-specific deletion of Fgf4 exacerbated podocyte loss and accelerated DKD progression in mice. Conversely, treatment with recombinant FGF4 (rFGF4) improved glomerular filtration and reduced renal injury and fibrosis in diabetic male mice. These effects are primary mediated by activating the FGFR1-AMPK-FOXO1 signaling cascade in podocytes, which mitigates oxidative stress, suppresses apoptosis, and fosters podocyte survival. Notably, rFGF4 also restores the morphology and function of human podocytes exposed to high glucose. Our findings establish FGF4 as a critical regulator of podocyte homeostasis and a potential therapeutic target for DKD. Show less

Congenital hypogonadotropic hypogonadism (CHH) is a rare condition characterized by incomplete pubertal development, infertility, and gonadotropin-releasing hormone deficiency, associated with mutations in more than 50 genes. We aimed to conduct an etiological analysis of a CHH Chinese family and summarize the clinical presentations and genetic changes of reported similar cases. Whole-exome sequencing (WES) was performed to identify the molecular cause in the proband. In silico tools were employed to analyze the pathogenicity of the variants. Reported cases with similar clinical features and associated genes were summarized by searching through PubMed/MEDLINE using keywords 'FGFR1,' 'CHH,' and 'Kallmann syndrome (KS).' Genetic analysis revealed a novel likely pathogenic deletion mutation in the FGFR1 gene (NM₀₂₃₁₁₀.3: c.263₂₆₄del (Val88Alafs*22)) in a Chinese family exhibiting micropenis and underdeveloped testes. A total of 38 cases with CHH or KS have been previously reported. This study identified a novel FGFR1 deletion variant responsible for CHH, expanding the known mutational spectrum of FGFR1. Typical manifestations include delayed puberty and diverse presentations. The genotype-phenotype correlation in CHH remains unclear and may involve oligogenic effects and epigenetic regulation. Show less

Cranial neural crest cells (CNCs) play a critical role in craniofacial bone morphogenesis, engaging in intricate interactions with various molecular signals to ensure proper development, yet the molecular scaffolds coordinating these processes remain incompletely defined. Here, we identify neurofibromin 2 (Nf2) as a critical regulator to direct CNC-derived skull morphogenesis. Genetic ablation of Nf2 in murine CNCs causes severe craniofacial anomalies, featuring declined proliferation and increased apoptosis in osteoprogenitors, impaired type I collagen biosynthesis and trafficking, and aberrant osteogenic mineralization. Mechanistically, we uncover that Nf2 serves as a molecular linker that individually interacts with FGF receptor 1 (FGFR1) and Akt through spatially segregated phosphor-sites, and structural modeling and mutagenesis identified Ser10 and Thr230 as essential residues, with Thr230 mutation selectively ablating Akt binding while preserving FGFR1 association. Strikingly, Akt inhibition phenocopied Nf2 deficiency, reducing collagen production and Nf2 phosphorylation, whereas phospho-mimetic Nf2 (T230D) rescued CNC-derived osteogenic defects in Nf2-mutant animals. Our findings underscore the physiological significance of Nf2 as a phosphorylation-operated scaffold licensing the FGFR1/AKT axis to regulate collagen type I biogenesis and trafficking, ensuring normal CNC-derived osteogenesis and craniofacial bone development, thus exposing the Nf2/FGFR1/AKT signaling axis as a therapeutic target and promising advancements in treatment of craniofacial anomalies. Show less

The limited response rate to immune checkpoint inhibitors (ICIs) remains a significant challenge in the treatment of lung adenocarcinoma (LUAD). In our study, we identified a lactate-based chemical barrier surrounding FAP Show less

Obesity in women of childbearing age disrupts lipid metabolism in pregnancy. This study aims to evaluate the impact of prepregnancy glucagon-like peptide-1 receptor agonist (GLP-1RA) use on lipid metabolism during pregnancy. A retrospective case-control study with 42 participants was employed to analyze the impact of prepregnancy GLP-1RA use on lipid metabolism during pregnancy in women with obesity. An animal study involved 60 virgin female Sprague Dawley rats fed a normal diet or a high-fat diet (HFD) for 8 weeks, with the latter diet divided into HFD + saline, HFD + liraglutide, and HFD + semaglutide for 4 weeks. Rats were mated and then sacrificed on gestational day 21. Clinically, prepregnancy GLP-1RA use reduced prepregnancy BMI, gestational weight gain, ratio with first-trimester metabolic dysfunction-associated steatotic liver disease, and triglyceride levels during pregnancy. In animals, GLP-1RA improved plasma fibroblast growth factor 21 (FGF21), adiponectin, triglyceride levels, and leptin in midgestation. During late gestation, compared with the HFD group, the GLP-1RA groups exhibited improved liver lipid deposition, increased fatty acid oxidation and lipolysis genes, decreased lipogenesis genes, and increased extracellular signal-regulated kinase (ERK)/peroxisome proliferator-activated receptor γ (PPAR-γ) and AMP-activated protein kinase (AMPK)/NAD-dependent protein deacetylase sirtuin-1 (SIRT1) pathways in liver; in the visceral adipose, the GLP-1RA groups showed increased lipolysis genes, decreased lipogenesis genes, and increased phosphorylated to total fibroblast growth factor receptor 1 (FGFR1) with activated ERK/PPAR-γ pathways. Prepregnancy GLP-1RA use improves maternal lipid metabolism during pregnancy, potentially involving elevated liver-secreted FGF21. This study offers a new strategy for treating lipid metabolic disorders in pregnancy. Show less

Alzheimer's disease (AD) is the leading cause of dementia, characterized by the buildup of amyloid plaques and neurofibrillary tangles, which lead to neuronal damage and trigger inflammatory responses in glial cells. The fibroblast growth factor receptor 1 (FGFR1)-mediated signaling pathways support the function of damaged neurons and modulate the inflammatory response. The FGFR1 agonists, including Fibroblast growth factor 1 (FGF1) and FG loop peptide (FGL), have been implicated in multiple disease therapies. However, whether FGFR1 agonists can improve pathology and cognitive function in AD remains unknown. This study showed that administration of FGF1 and FGL to the AD mouse model reversed spatial memory impairment, enhanced neurogenesis, suppressed reactive astrogliosis, and restricted dystrophic neurites. However, only FGF1 treatment reduced the deposition of senile plaque. In microglial culture studies, FGF1 improves the phagocytosis ability of microglia, but this effect is blocked by the FGFR1-specific inhibitor. Together, our findings suggested that FGFR1 agonists alleviate pathological and cognitive impairments in the AD mouse model. Show less

Radiation-induced lung injury (RILI), manifesting in its initial phase as radiation pneumonitis (RP) and progressing over time to radiation-induced pulmonary fibrosis (RIPF), represents a significant adverse consequence associated with thoracic radiation therapy. Currently, there are limited therapeutic options for RILI. Anlotinib was confirmed the efficacy of pulmonary fibrosis. Therefore, anlotinib has the potential to treat RILI. To investigate the therapeutic role of anlotinib in RILI. RILI model in mice was successfully developed for evaluating the therapeutic efficacy of anlotinib. We used network pharmacology to find six target genes and analysed the correlation between these genes and RILI-related cytokines. Molecular docking further validates the binding ability of these target genes and anlotinib. We found the importance of TGF-β in anlotinib treatment of RILI by the results of network pharmacology and correlation analysis. We then used immunohistochemistry to demonstrate that anlotinib treats RILI by lowering TGF-β. Through enrichment analysis, we obtained potential therapeutic pathways and validated them with WB. In vivo investigations demonstrated that anlotinib is able to treat RILI: Inflammation, fibrosis, and apoptosis are reduced. This result is likely to be related to the reduction of TGF-β: The therapeutic mechanism potentially involves six genes, namely, FLT1, AKT1, KDR, TGFB2, PDGFRB1, and FGFR1; these targets bind well to anlotinib; we found that the expression of most of cytokines affecting the particular processes of RILI was closely associated with the six genes, in particular TGF-β1-3; immunohistochemistry further demonstrates that anlotinib treats RILI by lowering TGF-β1-3. In addition, KEGG enrichment analysis reveals possible pathways involving in therapeutic effects, including the PI3K-Akt, MAPK, Rap1, and Ras pathway. WB showed that anlotinib treatment significantly inhibited the PI3K/Akt signalling pathway. Therefore, anlotinib has the potential for treating RILI. Our results indicated the potential targets and molecular mechanism of anlotinib against RILI. Show less

Triple-negative breast cancer (TNBC) is a highly aggressive subtype with a poor prognosis and lacks effective targeted therapies. Six-transmembrane epithelial antigen of prostate 3(STEAP3) is specifically overexpressed in TNBC, but its precise role and molecular mechanisms remain unclear. Here, we show that STEAP3 is positively correlated with proliferation markers in TNBC, but not in non-TNBC. Further assays revealed that STEAP3 significantly enhances TNBC cell proliferation, invasion, and metastasis Show less

Osteosarcoma (OS) is the most prevalent primary malignant bone sarcoma, characterized by its high rates of metastasis and mortality. In our previous multiomics analysis of the Shanghai General Hospital OS (SGH-OS) cohort, we identified four distinct OS subtypes, each with unique molecular characteristics and clinical outcomes. Of particular importance was the identification of the MYC-driven subtype, which exhibited the poorest prognosis and was referred to as high-risk OS. A diagnostic tool is needed for clinicians to identify high-risk OS in advance. The purpose of this study is to develop a classifier capable of accurately predicting the high-risk OS subtype using transcriptome and methylation data. In this study, using eXtreme Gradient Boosting (XGBoost) with Bayesian optimization, we developed a classification model by integrating transcriptome and methylation data from our internal SGH-OS cohort. We further validated the model's predictive performance with the external TARGET-OS cohort. Using the XGBoost algorithm, we developed a classifier incorporating nine genes (ARHGAP9, CADM1, CPE, DUSP3, FGFR1, GALNT3, IGF2BP3, KIF26A, ZFP3). In our internal cohort, the classifier exhibited excellent predictive performance, with an area under the receiver operating characteristics curve (AUC) of 0.999 and an overall accuracy of 0.989. Furthermore, the classifier successfully stratified two groups with distinct survival outcomes in the external TARGET-OS cohort. Notably, our analysis revealed a positive correlation between IGF2BP3 and MYC signaling pathways, highlighting IGF2BP3 as a potential therapeutic target in high-risk OS. Our classifier demonstrated excellent predictive performance in identifying patients with high-risk OS, offering the potential to enhance treatment decision making and optimize patient management strategies. Show less

This study aimed to investigate whether the dysregulation of Aurora-A is involved in lenvatinib resistance in hepatocellular carcinoma. Bioinformatics tools and drug sensitivity assays were used to investigate the association between Aurora-A expression level and lenvatinib resistance in hepatocellular carcinoma cell lines. Cell function experiments had performed after treatment with lenvatinib and/or a selective Aurora-A inhibitor (MLN-8237). CircRNA microarray, RIP, RNA pull-down, and dual-luciferace reporter assay were performed to identify the downstream molecular mechanism of Aurora-A dysregulation. Aurora-A expression was positively correlated with lenvatinib resistance in hepatocellular carcinoma cells. The Aurora-A selective inhibitor MLN-8237, in combination with lenvatinib, synergistically inhibited hepatocellular carcinoma cell proliferation in vitro and vivo, suggesting the Aurora-A might be a potential therapeutic target for lenvatinib resistance. Mechanistically, Aurora-A induced FGFR1 expression through the hsa-circ-0058046/miR-424-5p/FGFR1 axis. Aurora-A promotes lenvatinib resistance through hsa-circ-0058046/miR-424-5p/FGFR1 axis in hepatocellular carcinoma cells. The simultaneous inhibition of FGFR1 by the Aurora-A inhibitor MLN-8237 and lenvatinib overcame lenvatinib resistance in hepatocellular carcinoma cells. Collectively, our findings indicate that Aurora-A promotes lenvatinib resistance through the hsa-circ-0058046/miR-424-5p/FGFR1 axis in hepatocellular carcinoma (HCC) cells. These results suggest that Aurora-A may serve as a therapeutic target for HCC patients exhibiting lenvatinib resistance. Furthermore, the combination of lenvatinib and MLN-8237 shows potential for clinical trials aimed at overcoming lenvatinib resistance. Show less

Patients with cancer undergoing cisplatin chemotherapy frequently experience cardiotoxic side effects that significantly affect their prognosis and survival rates. Our study found that Panax ginseng root extract exerted a significant protective effect against cisplatin-induced myocardial cell injury. The present study aims to elucidate the underlying mechanisms by which the bioactive components of Panax ginseng mitigate cisplatin-induced cardiotoxicity (CIC). In vitro, the candidate active components were screened by network pharmacological prediction and in neonatal rat ventricular myocytes (NRVMs), and their mechanisms of action were verified by transcriptome sequencing, western blotting, gene overexpression, immunoprecipitation, immunofluorescence, and cellular thermal shift assays. A C57BL/6 CIC mouse model was established to verify the protective effects of the candidate components and the in vivo mechanism of the candidate components. Through network pharmacology prediction and cellular activity screening of ginseng root compounds, ginsenoside Rh2(S) (Rh2) was identified as a significant active component. Transcriptomic, in vitro, and in vivo experiments demonstrated that Rh2 can activate the Pak1/Limk1/cofilin phosphorylation pathway, thereby inactivating the actin-severing protein cofilin and protecting cardiomyocytes from cisplatin-induced actin depolymerization. Additionally, Rh2 suppressed the ROS/caspase-3/GSDME pathway to inhibit cisplatin-induced pyroptosis. Furthermore, co-immunoprecipitation and overexpression experiments confirmed that Rh2 activated the FGFR1/HRAS axis, thereby simultaneously regulating the two aforementioned pathways to combat CIC. This study demonstrated for the first time that Rh2 is the main active component in Panax ginseng that maintains cytoskeletal homeostasis and inhibits pyroptosis by regulating the FGFR1/HRAS pathway to resist CIC. This study aimed to provide a theoretical basis for expanding the targets and pathways of CIC treatment, and for the development of related drugs. Show less

Dysregulation of the fibroblast growth factor receptor 1 (FGFR1) signaling has prompted efforts to develop therapeutic agents, which is a carcinogenic driver of many cancers, including breast, prostate, bladder, and chronic myeloid leukemia. Despite significant progress in the development of potent and selective FGFR inhibitors, the long-term efficacy of these drugs in cancer therapy has been hampered by the rapid onset of acquired resistance. Therefore, more drug discovery strategies are needed to promote the development of FGFR-targeted drugs. Here, we discovered compound S2h, a compound that selectively and effectively degrades FGFR1 at nanomolar concentrations in KG1a cells (IC Show less

Cardiac hypertrophy (CH), a pathological response to stress, is intricately regulated by the dynamic control of gene expression. This study explored the role of super-enhancers (SEs) and the transcription factor Mef2c in CH regulation. Using a transverse aortic constriction (TAC) mouse model, we demonstrated that inhibition of SEs with JQ-1, a BET inhibitor, significantly attenuated hypertrophic responses, as evidenced by reduced heart weight indices, enhanced cardiac function, and decreased expression of hypertrophic marker proteins BNP and β-MHC. Further analysis revealed that Mef2c, a key transcription factor, is driven by SEs in CH. In vivo and in vitro overexpression of Mef2c promotes CH, while deletion of the Mef2c SE region alleviates this condition. Mechanistically, we identified Hey2 as a downstream target of Mef2c and demonstrated that Mef2c regulates CH through the Hey2/Notch/p38 signaling pathway. Our findings provide novel insights into the molecular mechanisms underlying CH and suggest potential therapeutic targets for its treatment. Show less

Mammalian scent glands mediate species-specific chemical communication, yet the mechanistic basis for convergent musk production remain incompletely understood. Forest musk deer and muskrat have independently evolved specialized musk-secreting glands, representing a striking case of convergent evolution. Through an integrated multi-omics approach, this study identified cyclopentadecanone as a shared key metabolic precursor in musk from both forest musk deer and muskrat, although downstream metabolite profiles diverged between the two lineages. Single-cell RNA sequencing revealed that these specialized apocrine glands possessed unique secretory architecture and exhibited transcriptional profiles associated with periodic musk production, distinct from those in conventional apocrine glands. Convergent features were evident at the cellular level, where acinar, ductal, and basal epithelial subtypes showed parallel molecular signatures across both taxa. Notably, acinar cells in both species expressed common genes involved in fatty acid and glycerolipid metabolism (e.g., Show less

Cognitive impairments in major depressive disorder (MDD) affect patients' social functioning, with underlying mechanisms involving gut microbiota and inflammatory factors remaining unclear. The study analyzed cognitive function, gut microbiota changes, and inflammatory factor levels in 39 unmedicated MDD patients and 41 healthy controls, employing correlation and moderation effect analysis. MDD patients scored lower than controls in cognitive functions like information processing speed, attention/vigilance, verbal learning, visual learning and social cognition. They showed reduced gut microbiota diversity and increased levels of inflammatory markers (TNF-α, IL-1, IL-6, IL-17, IL-27, IL-33). Sellimonas abundance correlated negatively with attention/vigilance, moderated by TNF-α, IL-27, and IL-33. This relationship was stronger at lower inflammation levels. MDD patients exhibit multi-domain cognitive dysfunction alongside pro-inflammatory states and disrupted gut microbiota. The abundance of Sellimonas significantly predicts attention/vigilance deficits. Inflammatory factors modulate the impact of gut microbiota on cognitive function, suggesting chronic low-grade inflammation as a key risk factor for cognitive impairment in MDD. Show less

Hyperactivation of cutaneous macrophages promotes the development of chronic pain. Stimulation of nociceptive regions promotes neuroplasticity, which affects pain perception and related physiological responses. However, the specific mechanisms by which cutaneous macrophages sense and elicit nociceptive responses are unknown. Here, we exacerbated the reduction of systemic pain threshold after chronic heart failure (CHF) by silencing follistatin-like 1 (FSTL1), especially the abnormal cutaneous nociceptive sensation at PC6 acupoint, the site associated with cardiac involvement pain. The upregulation of P2Y6 and interleukin-27 expression is intimately linked to the activation of skin macrophages. Hyperactivation of P2Y6 receptor (P2Y6R) may be associated with MHC II M1 Show less

Macrophage is considered as a critical driving factor in the progression of atherosclerosis (AS), and epigenetic heterogeneity contributes important mechanisms in this process. Here, we identified that a histone demethylase jumonji domain-containing protein 1 C (JMJD1C) is a promising biomarker for atherosclerotic cerebral infarction through clinical analysis. Then, AOPE Show less

Sjögren's Syndrome (SS) and Type 1 Diabetes (T1D) are autoimmune disorders that can co-occur in patients, leading to complex clinical presentations. Despite observational evidence of their co-occurrence, the underlying genetic mechanisms remain poorly understood. To investigate the shared genetic factors and pathways between SS and T1D, we conducted a comprehensive analysis using multiomic approaches. Conditional and conjunctional false discovery rate analyses were performed to identify genetic polygenicity and overlap between the two diseases. Functional annotation and pathway analysis identified SNPs with regulatory potential. Furthermore, Mendelian Randomization (MR) analyses were employed to investigate causal associations between gene expression and disease risk. Single-cell differential gene expression analysis was also employed to validate the associations of risk genes with T1D and SS. Our analysis identified 36 shared loci, revealing common genetic enrichment between SS and T1D. Functional annotation and pathway analysis revealed 52 credible genes involved in cysteine-related processes, apoptotic signalling and immune responses. MR analyses revealed that AC007283.5 was positively linked with both SS and T1D, while PLEKHM1 and CRHR1-T1 were negatively associated. Additionally, CERS2 was positively associated with SS, DEF6 was positively associated with T1D, and KANSL1-AS1 was negatively associated with T1D, indicating the presence of complex regulatory mechanisms. Moreover, Single-cell differential gene expression analysis confirmed the dysregulation of risk genes in SS and T1D. This study identified shared genetic factors and pathways underlying SS and T1D, highlighting cysteine-related processes and apoptotic signalling. The findings underscore the complex interplay of autoimmunity and the need for targeted treatments addressing their common mechanisms. Show less

Cognitive impairment caused by anesthesia and surgery is one of the most common complications with multiple etiologies that occurs in elderly patients. The underlying mechanisms are not fully understood, and there is a lack of therapeutic strategies. Increasing evidence has demonstrated that myelin loss, abnormal phosphorylation of the tau protein and neuronal apoptosis are substantial driving factors of cognitive deficits. However, the key regulatory factors involved in the pathology of postoperative cognitive dysfunction require further investigation. Herein, we identified a key regulator, Lingo1, whose expression significantly increased in hippocampal neurons after aged mice underwent unilateral nephrectomy. Elevated Lingo1 expression markedly activated the RhoA/ROCK1 signaling pathway through interactions with NgR and p75NTR, subsequently promoting myelin loss and abnormal phosphorylation of the tau protein. Moreover, the upregulation of Lingo1 in hippocampal neurons further inhibited the EGFR/PI3K/Akt pathway, which may increase neuronal apoptosis. These pathological changes ultimately lead to cognitive impairment in aged mice after surgery. Notably, Lingo1 knockdown significantly reversed pathological changes in the hippocampus and attenuated cognitive decline. In conclusion, our findings highlight that Lingo1 upregulation in hippocampal neurons promotes the occurrence and development of postoperative cognitive dysfunction by regulating myelin loss, abnormal tau phosphorylation and neuronal apoptosis, suggesting that Lingo1 might be a potential target for treating postoperative cognitive dysfunction. Show less

Bladder cancer (BC) is one of the most common urological malignancies, ranking as the eleventh most common cause of cancer-related deaths worldwide. The lack of specific and sensitive prognostic biomarkers presents a significant challenge in the early diagnosis and treatment of BC. We used the Gene Expression Omnibus (GEO) dataset GSE13507 and the Cancer Genome Atlas (TCGA) database to screen differentially expressed genes related to BC. By using Weighted Gene Co-expression Network Analysis (WGCNA), two modules associated with BC were investigated in GSE13507 and TCGA. Hub genes were identified through Protein-Protein Interaction (PPI) network analysis and their functions were validated through multiple approaches, including Gene Expression Profiling Interactive Analysis (GEPIA), Western Blotting (WB) assay, Human Protein Atlas (HPA), Oncomine analysis, and quantitative Real-Time PCR (qRTPCR) analysis. Additionally, miRNAs associated with hub gene expression were identified using various databases to predict the progression and prognosis of BC. WCGNA and differential gene expression analysis identified 171 common genes as target genes. Ten genes (MYH11, ACTA2, TPM2, ACTG2, CALD1, MYL9, TPM1, MYLK, SORBS1, and LMOD1) were identified using the PPI tool and the CytoHubba plugin of Cytoscape. The CALD1 and MYLK genes showed a significant prognostic value for overall survival and diseasefree survival in patients with BC. According to the HPA and Oncomine databases, CALD1 and MYLK expression levels were significantly lower in BC tissues than in normal tissues. Additionally, qRT-PCR analysis, WB assay, and immunohistochemical analysis confirmed CALD1 and MYLK as tumor suppressor genes in BC. Furthermore, miR-155 showed a significant positive correlation with MYLK. This study established MYLK as a direct target gene of miR-155, functioning as an actionable survival-related gene correlated with BC development. Show less

Reverse Potts shunt is a promising yet high-risk therapy for pediatric pulmonary arterial hypertension. Postoperative hemodynamics is critically influenced by shunt configuration but is difficult to predict. This study aimed to quantify the effects of shunt size and location on hemodynamics to guide surgical planning. Based on a patient-specific model, four postoperative models with two different shunt locations [left pulmonary artery (LPA)-descending aorta (DAO) and pulmonary artery bifurcation-aortic arch] and three conduit sizes (4, 5, and 6 mm) were created. The direct Potts shunt model was created by a direct side-to-side anastomosis between the LPA and DAO with a 6-mm circular opening. Quantitative parameters including the shunt ratio (SR), which was defined as the percentage of the shunt flow rates to the total pulmonary inflow rate, lower limb oxygen saturation, and pressure were analyzed. Increasing the shunt size from 4 mm to 6 mm elevated the SR from 6.01% to 9.80%, concurrently reducing lower limb oxygen saturation from 89.57% to 86.52%. When taking 11,000 Pa as the threshold, this increased SR resulted in a reduction of the high-pressure area from 17.32% of the total pulmonary artery area to almost zero. Meanwhile, the high-pressure area on the aorta expanded from 8.72% of the total aortic area to 14.94%. These results indicated a reduction in the right ventricular afterload and an increase in the left ventricular afterload. Notably, a 6-mm shunt at the pulmonary artery bifurcation yielded a significantly larger SR than at the LPA (9.80% vs. 2.68%), which is attributed to a higher pressure gradient at the pulmonary artery bifurcation (1,201 Pa vs. 162 Pa). The shunt location had a greater impact on the SR than shunt size within the 4 mm-6 mm range in this specific case. A 6-mm shunt at the pulmonary artery bifurcation yielded a significantly larger SR than at the LPA, which is attributed to the higher preoperative pressure gradient at the bifurcation site. Left heart function is as critical as right heart function in maintaining pressure balance and determining outcomes, as the shunt flow increases the left ventricular afterload. Show less

Prostate adenocarcinoma (PRAD) is a common malignancy with marked clinical heterogeneity, complicating prognosis and disease monitoring. Traditional tools like the Gleason score lack molecular and microenvironmental insights, underscoring the need for biomarker-driven predictive models. Single-cell RNA-seq data from GEO and bulk RNA-seq data from TCGA were analyzed. scRNA-seq processing used the Seurat package, with cluster-specific genes identified via FindAllMarkers. Differentially expressed genes (DEGs) from bulk data were obtained using limma, and key gene modules were identified through WGCNA. Using univariate Cox regression and LASSO analysis, a prognostic model was developed based on cluster-specific genes, key module genes, and differentially expressed genes. Clinical validation included comparison of tumor and adjacent normal tissues, revealing significantly elevated GDPD3 expression, further confirmed by immunohistochemistry. In this study, through integrated single-cell sequencing and Bulk-RNA-seq analyses, we established a 21-gene prognostic model. QPCR confirmed significant upregulation of three candidates, including GDPD3, which was also elevatedin malignant tissues. Knockdown of GDPD3 inhibited tumor cell proliferation, invasion, and migration. Mechanistically, GDPD3 regulated the levels of lysophosphatidic acid (LPA), which in turn induced EMT in tumor cells. Inhibition or knockdown of the LPA receptor LPAR1 suppressed EMT. LPA promoted EMT through activation of the AKT signaling pathway, and inhibition of this pathway reversed LPA-induced EMT. This study underscores key molecular mechanisms underlying prostate cancer progression, with GDPD3 emerging as a potential therapeutic target. Show less

The present study aimed to clarify heterogeneity in music performance anxiety (MPA) by identifying latent profiles, examining sociodemographic and psychological predictors of profile membership, and testing mediation pathways. A total of 819 Chinese musicians participated in an online survey that assessed MPA, performance worry (PW), and perceived memory reliability (PMR), along with demographic variables. Latent profile analysis (LPA) revealed a three-profile solution that distinguished low, moderate, and high MPA groups. Multinomial logistic regression indicated that older age, higher education levels, lower household income, and unstable employment were significantly associated with membership in the moderate and high MPA profiles. In addition, PW emerged as a significant psychological predictor of elevated MPA, whereas PMR showed a protective effect and was negatively associated with MPA. Mediation models further demonstrated that PW played an important role in transmitting the effect of PMR on MPA, suggesting that cognitive factors related to memory reliability shape worry processes, which, in turn, intensify performance anxiety. These findings advance understanding of MPA by demonstrating that Chinese musicians can be meaningfully categorized into distinct risk groups, each shaped by sociodemographic vulnerabilities and cognitive-emotional pathways. From a practical perspective, the results highlight the importance of targeted prevention and intervention strategies that address both memory-related cognitions and performance worry in order to reduce MPA in vulnerable populations. Show less

The objective of this study was to explore the longitudinal relationship between the volume and intensity of physical activity (PA) and their combined risk for cognitive impairment (CI). The study included 10,174 participants from the 2011-2018 CHARLS cohort. Pennsylvania and CI were assessed using self-reported questionnaires. Statistical analyses were performed using the Cox regression model. After adjusting for all covariates, the risk of CI was 14% lower in subjects with physical activity volume (PAV) ≥600 Metabolic Equivalent of Task (MET)-min/week compared to those with insufficient PA (HR: 0.86). The risk was reduced by 38% for subjects with PAV of 1800-2999 MET-min/week (HR: 0.62). Regarding the intensity of PA, the risk of CI was reduced by 25% for a proportion of 0.25-0.5 of (moderate to vigorous PA) MVPA to PAV (HR: 0.75) compared to a proportion of 0-0.25. Regardless of PAV, the risk of CI was lowest when the proportion of moderate to vigorous PA(MVPA) to PAV was 0.25-0.5, and 0.5-0.75 for the proportion of light-intensity physical activity (LPA) to PAV. The PAV 1800-2999 MET-min/week and maintaining a proportion of LPA to PAV of 0.5-0.75, or a proportion of MVPA to PAV of 0.25-0.5, are more effective in reducing the risk of CI. Policy implications should prioritize tailored physical activity strategies for individuals over 65, emphasizing low-intensity activities, safe high-intensity training, and the development of accessible urban facilities, in line with WHO guidelines. Show less

The influence of lactic acid bacteria (LAB) strains of various species isolated from Chinese traditional sourdough on the properties of rice sourdough and the textural and flavor qualities of steamed rice bread (SRB) was investigated. Show less

Demyelination diseases are characterized by injury to large (A-type) myelinated nerve fibers, and by secondary damage to small (C-type) sensory fibers, which leads to chronic pain symptoms, such as allodynia. The mechanisms underlying the interactions between the two fiber types are not clear. This study aims to investigate the role of lysophosphatidic acid (LPA) signaling in satellite glial cells (SGCs) within the dorsal root ganglia (DRG) in demyelination-induced chronic pain. A demyelination model was established by injecting cobra venom into the tibial nerve of 8-10-week-old Sprague-Dawley rats to selectively damage A-fiber myelin. Myelin morphology was observed via transmission electron microscopy (TEM) at 1, 3, 7, and 14 days post-injection. Pain behaviors (mechanical hypersensitivity, thermal hyperalgesia, and spontaneous pain) were assessed to evaluate progression. In vivo electrophysiology was performed to analyze sensory conduction and excitability changes in A- and C-type neurons. Immunofluorescence staining assessed SGC activation, LPA1 receptor (LPA1R) expression, and connexin 43 (Cx43) dynamics in the L4 DRG over time. Pharmacological interventions targeting LPA1R and SGC activation were applied to evaluate their effects on pain behaviors, cytokine release, and neuronal excitability using RT-PCR, ELISA, and spinal electrophysiology. Cobra venom induced a selective A-fiber demyelination and persistent pain in rats. It also upregulated the expression of LPA1R on SGCs that surround large DRG neurons, which normally mediate non-noxious input, and increased gap junction-mediated coupling via Cx43, leading to the activation of SGCs surrounding small nociceptive neurons. The activated SGCs released inflammatory mediators that increased nociceptive neuron excitability, driving chronic pain. In support of these results, pharmacological inhibition of LPA1R-mediated SGCs activation reversed this process. Our study demonstrates that LPA-LPA1R signaling in SGCs drives A-fiber demyelination-induced neuropathic pain by promoting Cx43-mediated SGC-neuron crosstalk and cytokine release. Targeting this pathway may represent a promising strategy to alleviate demyelination-associated chronic pain. Show less

Pulmonary embolism is a potentially fatal cardiovascular condition that demands prompt and accurate diagnostic imaging. Traditional single-energy computed tomography pulmonary angiography (CTPA), while widely used, is associated with high radiation doses and substantial volumes of contrast agents, which may increase the risks of radiation-induced tissue damage and contrast-induced nephropathy (CIN), respectively. Dual-energy CTPA (DE-CTPA) presents a promising alternative, though challenges, including elevated image noise at low kilo-electron volt (keV) levels (e.g., 40 keV), persist. The primary aim of this study is to evaluate and compare the image quality of 40 keV virtual monoenergetic images (VMI) reconstructed using deep learning image reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction-V (ASIR-V) algorithms within the context of low-dose DE-CTPA protocols. This prospective study enrolled patients who underwent DE-CTPA between January and April 2025. Using a Revolution CT scanner, 40 keV VMI were reconstructed with four distinct algorithms: ASIR-V 50%, ASIR-V 70%, Deep learning image reconstruction with medium setting (DLIR-M), and deep learning image reconstruction with high setting (DLIR-H). Iodixanol (350 mgI/mL) was administered at a dose of 0.4 mL/kg. The image quality was assessed through both objective measures [image noise, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR)] and subjective evaluation via a Likert scale. Statistical analysis was conducted using SPSS 27.0, employing analysis of variance (ANOVA) for normally distributed data and the Kruskal-Wallis test for non-normally distributed data. A total of 75 patients with clinical suspicion of pulmonary embolism were included in the study. The mean effective dose (ED) was 3.76±1.02 mSv, with a mean CT volume dose index (CTDIvol) of 6.13±1.69 mGy and a mean dose-length product (DLP) of 221.12±59.85 mGy·cm. The mean contrast agent volume was 26.0±5.0 mL. Statistical analysis of image quality revealed significant differences between the four groups in terms of image noise, CNR, and SNR, measured at the levels of the main pulmonary artery, left pulmonary artery, and right pulmonary artery (P<0.001). Post-hoc analysis demonstrated that the DLIR-H algorithm provided the highest image quality, significantly reducing noise while enhancing CNR and SNR relative to both ASIR-V and DLIR-M (P<0.001). Compared with ASIR-V 50%, DLIR-H reduced image noise by 45% at the PA [24.25±16.18 The DLIR-H algorithm significantly enhances the image quality of 40 keV VMI images under low-dose DE-CTPA scanning protocols. It outperforms DLIR-M, ASIR-V 50%, and ASIR-V 70%, making it a promising tool for improving image quality in CTPA, particularly in clinical settings where minimizing radiation dose and contrast agent volume is essential. Show less

While most patients with stage I non-small cell lung cancer (NSCLC) remain recurrence-free after resection, some still develop recurrent disease. The surgical curative time window concept, defined as no recurrence through 5-year follow-up, helps identify potentially cured patients, yet predictive clinicopathologic features in stage I invasive NSCLC need clarification. This study sought to identify such features to enable risk-adapted surveillance. We analyzed a prospectively collected dataset of patients with stage I invasive NSCLC who underwent R0 resection between 2008 and 2015. Cox regression analysis was used to evaluate the association between clinicopathologic features and disease recurrence, aiming to identify independent prognostic factors. A total of 1,817 patients met the inclusion criteria. The 5-year cumulative incidence of recurrence was 14.6%. Female sex, tumor size ≤2 cm, lepidic-predominant adenocarcinoma (LPA) histologic type, presence of a ground-glass opacity (GGO) component, and solid component size ≤10 mm were identified as independent prognostic factors. A risk stratification system was subsequently developed, classifying patients into two groups: a low-risk group (with ≥4 factors; n=341) and an elevated-risk group (with <4 factors; n=1,476). Kaplan-Meier analysis revealed statistically significant differences in recurrence-free survival (RFS), overall survival (OS), and lung cancer-specific survival (LCSS) between the two groups (P<0.001). The low-risk group is considered to represent the population within the surgical curative time window. Patients with stage I invasive NSCLC who meet at least four of the following five criteria-female sex, tumor size ≤2 cm, solid component ≤10 mm, presence of a GGO component, and LPA histologic type-may be considered within the "surgical curative time window" and may therefore qualify for reduced surveillance intensity. Show less