👤 Chenyang Jiang

Ovarian cancer (OC) is an aggressive gynecological malignancy with poor prognosis, largely due to late-stage diagnosis and high metastatic potential. However, the functional role and regulatory mechanisms of fibroblast growth factor receptor 1 (FGFR1) in OC remain incompletely understood. In this study, we investigated the expression pattern and biological function of FGFR1 in OC and explored its underlying molecular mechanisms. FGFR1 expression was analyzed using TCGA, GTEx, and tissue microarray datasets, and its prognostic significance was evaluated by Kaplan-Meier survival analysis. Functional assays were performed in OVCAR-3 and SK-OV-3 cells following FGFR1 knockdown or overexpression to assess cell proliferation, migration, invasion, and metabolic activity, including extracellular acidification rate (ECAR) and oxygen consumption rate (OCR). Lactate production and histone lactylation were measured by biochemical assays and Western blotting. Protein interaction between FGFR1 and SIRT3 was examined by co-immunoprecipitation and immunofluorescence, and rescue experiments were conducted to determine SIRT3 dependency. In vivo subcutaneous xenograft models were used to evaluate the role of FGFR1 in tumor growth. We found that FGFR1 expression was significantly reduced in OC tissues and that low FGFR1 levels were associated with unfavorable clinical outcomes. Functionally, FGFR1 silencing promoted OC cell proliferation, migration, invasion, and metabolic activity, whereas FGFR1 overexpression exerted inhibitory effects. Mechanistically, FGFR1 interacted with SIRT3 and stabilized its protein expression. Importantly, SIRT3 knockdown abrogated the FGFR1-mediated reductions in lactate production, glycolytic enzyme expression, ATP levels, and histone lactylation, indicating that FGFR1 regulates metabolic reprogramming through a SIRT3-dependent mechanism. Consistently, FGFR1 knockdown promoted the formation of larger and more invasive tumors in vivo. Collectively, these findings demonstrate that FGFR1 functions as a context-dependent tumor suppressor in OC by modulating SIRT3-mediated metabolic reprogramming and histone lactylation, suggesting that targeting the FGFR1-SIRT3 axis may represent a potential therapeutic strategy for ovarian cancer. Show less

The response rate to immune checkpoint blockade (ICB) in hepatocellular carcinoma (HCC) remains unsatisfactory, and the mechanisms of resistance are not fully understood. Here, we investigated the role of fibroblast growth factor receptor 1 (FGFR1) in shaping the tumor microenvironment (TME) and mediating ICB resistance. An anti-PD-1-resistant HCC model was established in mice, followed by single-cell RNA sequencing to profile TME alterations. We observed that ICB resistance was associated with FGFR1 upregulation, which activated MAPK signaling and induced SPP1 expression. This cascade promotes macrophage infiltration and M2-type polarization, while simultaneously suppressing T cell recruitment and cytotoxic function, thereby fostering an immunosuppressive microenvironment. SPP1 knockdown or neutralization significantly reduced macrophage accumulation and restored intratumoral T cell infiltration. Importantly, pharmacological inhibition of FGFR1 using BGJ398 synergized with anti-PD-1 therapy, resulting in enhanced antitumor efficacy in preclinical models. Analysis of clinical datasets further revealed that high FGFR1 expression correlated with poor responses to ICB of HCC patients. Collectively, these findings identify FGFR1 as a key mediator of ICB resistance in HCC. Targeting FGFR1 represents a promising strategy to reprogram the immunosuppressive TME and enhance response to immunotherapy, with potential additional value as a predictive biomarker. Show less

Serous endometrial cancer (SEC) is an aggressive subtype of endometrial cancer (EC) with poor prognosis and limited treatment options. Here, we developed a clinically relevant, immunocompetent serous-like mouse model incorporating oncogenic Show less

Myelin debris accumulation after spinal cord injury (SCI) drives persistent neuroinflammation, lysosomal dysfunction, and lipid overload in macrophages, ultimately impairing tissue repair. Here, we identify fibroblast growth factor 4 (FGF4) as a previously unrecognized regulator of macrophage-mediated myelin debris clearance. Endogenous FGF4 transiently increased in the early phase of SCI but rapidly declined. Using in vitro models, we demonstrate that exogenous FGF4 markedly enhances myelin debris phagocytosis through activation of the FGFR1-PI3K/AKT signaling pathway, leading to upregulation of Clec10a, a C-type lectin receptor not previously linked to myelin debris processing. Silencing Clec10a significantly mitigated the phagocytic and neuroprotective benefits of FGF4, supporting Clec10a as an important mediator of this response. D-GalNAc competitive inhibition assays showed that Clec10a does not rely on the conserved carbohydrate-recognition domain to bind to myelin debris. FGF4 enhanced the maturation and degradative efficiency of the endolysosomal system, driving internalized myelin debris through Rab5 The online version contains supplementary material available at 10.1186/s12974-026-03743-0. Show less

The global obesity crisis and the limited success of current treatments underscore the need to identify novel regulatory pathways. While central administration of α-Klotho exerts anti-obesity effects in rodents through AgRP neurons, the intracellular signaling mechanisms that mediate this process remain undefined. To define the role of FGFR1 within the α-Klotho signaling pathway in AgRP neurons, we performed a targeted deletion of the receptor in adult mice using an AAV-mediated CRISPR/Cas9 system alongside transgenic models. Deletion of FGFR1 in AgRP neurons disrupted energy homeostasis, promoting weight gain induced by a high-fat diet. Electrophysiological recordings revealed that FGFR1 loss increased the intrinsic firing rate of AgRP neurons and abolished the suppressive effect of α-Klotho on their activity. At the molecular level, FGFR1 knockdown decreased phosphorylation of the transcription factor FOXO1 and elevated AgRP mRNA expression. Our results define a crucial FGFR1 signaling axis in AgRP neurons that coordinately regulates their electrical activity and peptide expression, thereby establishing FGFR1 as an essential regulator of energy homeostasis. Show less

Hypertrophic scar (HS) is a fibroproliferative disorder characterized by fibroblast hyperactivation and aberrant extracellular matrix deposition. This study identifies macrophage-derived lactate as a key mediator of fibroblast phenotypic remodeling via monocarboxylate transporter 1 (MCT1)-mediated histone H3 lysine 23 lactylation (H3K23la) in HS. Elevated lactate levels and MCT1 expression were observed in HS tissues, with macrophages in stiff mechanical microenvironments identified as the primary lactate source. Lactate influx through MCT1 upregulated H3K23la, thereby promoting transcriptional activation of profibrotic genes HEY2 and COL11A1. Mechanistically, HEY2 activated YAP1/SMAD2 signaling, while COL11A1 stabilized MCT1 to enhance lactate transport, forming a positive loop that amplified fibrosis. Fibroblast-specific Mct1 deletion or pharmacological inhibition of Mct1 in male mice reduced collagen deposition, accelerated wound healing, and attenuated scar formation. Our findings redefine the macrophage-fibroblast crosstalk in HS and establish the MCT1-H3K23la-HEY2/COL11A1 axis, particularly its self-reinforcing loop, as a novel therapeutic target. Show less

Steroid-refractory (SR) disease develops in a substantial fraction of patients with grade II-IV acute graft-versus-host disease (aGvHD) and is associated with poor long-term survival. Improved mechanistic insight is needed to identify reliable predictors of steroid resistance. We retrospectively profiled peripheral blood collected prior to glucocorticoid treatment from allogeneic hematopoietic cell transplantation recipients without aGvHD, with steroid-sensitive aGvHD, and with SR-aGvHD using an integrated multi-omics approach, and validated findings in an independent multicenter cohort. Mass cytometry revealed expansion of activated CD28+ CD8+ effector-memory T (Tem) cells in SR-aGvHD. Absolute counts of these cells at neutrophil engraftment predicted subsequent steroid resistance in the multicenter cohort and performed comparably to established clinical classifiers. This phenotype was associated with a proinflammatory milieu enriched for IL-2, IL-27, and IFN-γ. Single-cell RNA sequencing and functional assays implicated a STAT1-glucocorticoid receptor (GR) regulatory axis in which inflammatory cytokines induce STAT1 phosphorylation and suppress GR expression, consistent with intrinsic glucocorticoid resistance. JAK inhibition rescued cytokine-induced steroid resistance in vitro, while in SR-aGvHD patients, clinical response to ruxolitinib was accompanied by reduced STAT1 activation, restoration of GR expression, and contraction of the expanded CD8+ Tem pool. These findings identify immune dysregulation at SR-aGvHD centered on CD8+ Tem cells with a STAT1-dependent GR deficit and support a mechanistic link to steroid refractoriness. CD28+ CD8+ Tem cell counts may serve as a biomarker of SR-aGvHD and inform development of pre-emptive, pathway-targeted strategies. Show less

Skeletal muscle atrophy is a common complication of heart failure, with myocardial infarction (MI) being the primary cause. Yet, the mechanisms linking post-MI cardiac insufficiency to muscle atrophy have remained unclear. The molecular basis for the beneficial effects of exercise on exercise intolerance in MI patients also remains absent. Serum IL-27 levels were measured in 48 MI patients and correlated with cardiac injury markers. Along with this, a rat model of post-MI cardiac insufficiency was used to assess skeletal muscle mass, cross-sectional area (CSA) of muscle fibers, and the expression of atrophy-related (MAFbx, MuRF-1) and differentiation-related markers (MyoD, Myogenin). The impact of exercise on muscle atrophy, cardiac inflammation, and IL-27 expression was then evaluated, with a focus on macrophage polarization. Serum IL-27 level was significantly elevated in MI patients and that it was positively correlated with myocardial injury and cardiac insufficiency. In post-MI rats, skeletal muscle mass and CSA of muscle fibers were reduced. Meanwhile, the expression level of myogenic markers was downregulated, while that atrophy markers was upregulated. IL-27 treatment promoted catabolism in L6 myotubes, and of note, HIF-1α overexpression in macrophages enhanced IL-27 secretion, and increased MAFbx and MuRF-1 expression. IL-27 level was also elevated in the heart, serum, and gastrocnemius muscle of MI rats. Exercise counteracted these effects by promoting M2-like macrophage polarization and suppressing HIF-1α, thereby reducing IL-27 expression. Furthermore, exercise ameliorated IL-27-induced muscle atrophy via the WSX-1/gp130/pSTAT3 signaling axis. IL-27 contributes to muscle atrophy in post-MI cardiac insufficiency. Exercise attenuates IL-27-driven muscle wasting by modulating inflammation and promoting M2-like macrophage polarization. These findings provide insights into the mechanisms of MI-induced muscle atrophy and highlight the therapeutic potential of exercise in cardiac rehabilitation. [Image: see text] The online version contains supplementary material available at 10.1186/s12967-025-07527-7. Show less

Pathological ocular neovascularization is closely linked to aberrant histone modifications, yet the underlying molecular mechanisms remain incompletely defined. This study investigates the role of the histone demethylase JMJD1C and its encoding gene Jmjd1c in driving pathological angiogenesis and evaluates its therapeutic potential in ocular proliferative vascular diseases. Jmjd1c expression was examined in mouse models of ocular neovascularization and in endothelial cells (ECs) using immunostaining, qRT-PCR, and Western blotting. The pro-angiogenic functions of JMJD1C were assessed through EdU incorporation, Transwell migration, tube-formation, and spheroid-sprouting assays in vitro, as well as retinal flat-mount isolectin-B4 staining and H&E staining in vivo. RNA sequencing, immunostaining, qPCR, Western blotting, and ChIP-qPCR were employed to dissect the molecular mechanisms by which JMJD1C regulates pathological angiogenesis. Endothelial-specific deletion of Jmjd1c markedly reduced pathological neovascularization in both oxygen-induced retinopathy (OIR) and laser-induced choroidal neovascularization (CNV) models. Loss of JMJD1C impaired endothelial cell proliferation, migration, tube formation, and sprouting angiogenesis. Mechanistically, Jmjd1c deletion suppressed Srebf2 transcription and cholesterol biosynthesis by increasing repressive H3K9me2 histone marks in endothelial cells. Pharmacological inhibition of JMJD1C similarly attenuated neovascularization in wild-type mice. JMJD1C acts as a key regulator of pathological ocular angiogenesis through histone demethylation-mediated control of endothelial cholesterol biosynthesis. These findings establish JMJD1C and the Jmjd1c-Srebf2 regulatory axis as promising therapeutic targets for ocular vascular diseases. Show less

MicroRNAs (miRNAs) are key regulators of myelination and cognitive functions, with miR-219 being particularly important for the differentiation and maturation of oligodendrocyte precursor cells (OPCs). However, its role in myelin damage and cognitive dysfunction during acute cerebral ischemia is not well understood. In this study, we used the MCAO/R rat model to investigate the mechanistic involvement of miR-219. Our results show that miR-219 alleviates cognitive dysfunction induced by MCAO/R. The agonist group showed a reduced time to locate the platform in the water maze, while the antagonist group showed an increased time compared to the solvent control. Additionally, miR-219 reduced myelin damage, as demonstrated by Luxol Fast Blue (LFB) staining, which indicated substantial hippocampal demyelination repair in the agonist group, whereas the antagonist group exhibited aggravated demyelination. Electron microscopy revealed enhanced myelin sheath regeneration and increased thickness in the agonist group, while the antagonist group displayed fewer and thinner myelin sheaths. Furthermore, miR-219 regulated OPC maturation, with more CNPase-positive cells in the agonist group and fewer in the antagonist group than the solvent control. In NG2 staining, the agonist group had fewer positive cells, while the antagonist group had more. miR-219 also decreased Lingo-1 expression, leading to reduced levels of AKT, RhoA, and mTOR in the downstream signaling pathway. These findings suggest that activating the miR-219-Lingo-1 signaling pathway during ischemia-reperfusion could offer a potential therapeutic approach for improving myelin damage and alleviating cognitive dysfunction in cerebral ischemia. Show less

Lipoprotein(a) [Lp(a)] has emerged as a critical determinant of residual cardiovascular risk. However, its impact on plaque morphology remains underinvestigated. This study aimed to elucidate the relationship between the serum Lp(a) levels, coronary plaque vulnerability, and vascular remodeling characteristics by utilizing intravascular ultrasound (IVUS). We retrospectively enrolled 292 consecutive patients with coronary artery disease who underwent IVUS. Target lesions were classified into vulnerable (n = 83) or stable (n = 209) plaque groups based on the IVUS criteria. Multivariate binary logistic regression was performed to identify independent predictors. The morphological parameters were further compared between the high (＞18.8 mg/dL) and low (≤ 18.8 mg/dL) Lp(a) groups. The vulnerable plaque group exhibited significantly higher median serum Lp(a) levels than the stable group (14.56 vs. 11.04 mg/dL, P = 0.011). After adjusting for age, sex, LDL-C, smoking, diabetes, and hypertension, Lp(a) ＞18.8 mg/dL remained an independent predictor of plaque vulnerability (OR = 1.76; 95% CI: 1.00-3.07; P = 0.049). Notably, the LDL-C levels did not predict vulnerability in this cohort. Furthermore, the high Lp(a) group demonstrated significantly larger vascular dimensions (EEM CSA: 14.67±4.95 vs. 13.22±4.20 mm Elevated serum Lp(a) levels are independent predictors of coronary plaque vulnerability. The underlying mechanism involves Lp(a) promoting compensatory vascular enlargement, accompanied by an increased plaque volume. These findings underscore the necessity of Lp(a) screening to identify any residual risk, particularly in patients with effectively controlled low-density lipoprotein cholesterol (LDL-C). Show less

Based on self-determination theory (SDT), this study aimed to identify latent profiles of health motivation characteristics among young and middle-aged individuals with prediabetes and to examine their associations with self-management behaviours and metabolic risk indicators. This cross-sectional study recruited individuals with prediabetes from January 2024 to January 2025 using a convenience sampling method, enrolling 309 participants. Health behaviour motivation, basic psychological needs, prediabetes-related disease knowledge and self-management were assessed using validated questionnaires. Latent profile analysis (LPA) was conducted to identify distinct subgroups. Multinomial logistic regression was used to examine demographic, lifestyle and clinical factors associated with profile membership. Three types of health motivation characteristics were identified: high psychological need satisfaction-autonomous motivation profile (24.0%), moderate psychological need satisfaction-externally controlled motivation dominant profile (15.0%) and low psychological need satisfaction-low motivation profile (61.0%). After adjustment, BMI, comorbidity history and occupation were significantly associated with profile membership, whereas distance to primary healthcare facilities showed a non-robust pattern. Significant heterogeneity exists in health motivation characteristics among young and middle-aged individuals with prediabetes, with the low psychological need satisfaction-low motivation profile representing the largest proportion. Incorporating motivation-oriented stratification into diabetes prevention strategies may provide a useful framework for delivering tailored interventions and supporting more sustainable self-management. Show less

To investigate the association between quantitative retinal vascular parameters and coronary artery disease (CAD) and to evaluate the efficacy of a retinal phenotype-based diagnostic model as a non-invasive tool for early CAD screening. A retrospective cross-sectional study. A single-centre study conducted at the Cardiovascular Center of Beijing Tongren Hospital, Capital Medical University, China, between January and October 2024. 417 patients with suspected angina undergoing their first coronary angiography (CAG) were enrolled. Inclusion criteria were age >18 years and high-quality fundus photography within 24 hours pre-CAG. Major exclusions were prior coronary interventions, severe systemic/valvular heart diseases and ocular conditions impairing retinal vascular visualisation. The primary outcome was the association between quantitative retinal vascular parameters and the presence of CAD (defined as ≥50% stenosis). Secondary outcomes included the diagnostic performance area under the receiver operating characteristic curve (AUROC) of three predictive models: one based on quantitative retinal vascular parameters alone, one based on traditional risk factors and a combined model integrating both retinal and clinical variables. This study enrolled 417 patients undergoing initial CAG. Compared with non-CAD controls (n=190), patients with CAD (n=227) had higher prevalence of hypertension, dyslipidaemia and diabetes, along with elevated levels of fasting blood glucose, lipoprotein(a) (Lp(a)), triglyceride (TG) and glycated haemoglobin (HbA1c) (all p<0.05). Quantitative fundus analysis revealed that multiple retinal vascular parameters were independently associated with CAD after multivariable adjustment, including fractal dimension (FD), vessel density (VD) and specific zonal measures of vessel diameter and tortuosity (all p<0.05). Multivariable logistic regression incorporating both fundus and clinical variables identified the following independent predictors of CAD: a decrease in FD (OR=0.26, 95% CI 0.16 to 0.41, p<0.01), reduced optic disc long-to-short axis ratio (OR=0.04, 95% CI 0.004 to 0.46, p=0.01) and optic disc-to-macula distance (OR=0.91, 95% CI 0.86 to 0.97, p<0.01), male sex, dyslipidaemia and elevated levels of Lp(a), TG, low-density lipoprotein cholesterol and HbA1c (all p<0.05). The final diagnostic model achieved an AUROC of 0.802 (95% CI 0.76 to 0.845), with a sensitivity of 0.797 and a specificity of 0.679 at the optimal cut-off. Internal validation via bootstrap resampling (1000 iterations) confirmed the robustness of the identified predictors. Our findings, derived from an artificial intelligence-based fully automated quantitative retinal vascular parameters measurement method, revealed that multiple quantitative fundus parameters-including FD, VD and other morphological parameters were significantly associated with CAD risk. The CAD diagnostic model we developed demonstrates strong performance and high interpretability, making it suitable for early CAD screening and diagnosis. Show less

In recent years, the global incidence of Non-Suicidal Self-Injury (NSSI) has risen, posing a significant challenge in public health. Adolescents are the main group affected. A cross-sectional study was conducted using a self-administered questionnaire to collect data from 6,311 adolescents in Hefei, China. This study employed the Compositional Isotemporal Substitution Model (CISM, a statistical method that estimates health effects of replacing time in one behavior with another while accounting for the interdependent, compositional nature of 24-h time-use data) to examine the impact of Screen Time (ST), Non-Screen-based Sedentary Time (NSST), Physical Activity, and Sleep Time on NSSI among adolescents. Compositional logistic regression analysis revealed that, relative to the remaining behavioral components, higher Light Physical Activity (LPA) ( The findings highlight those reasonably allocating adolescents' daily activities, reducing ST, can help lower the risk of NSSI among adolescents. Show less

Phytate (phytic acid, or InsP6), the primary phosphorus storage compound in plants, plays essential roles in nutrient homeostasis and cellular signaling. However, its strong metal-chelating properties make cytosolic accumulation cytotoxic, necessitating its sequestration into vacuoles for safe storage. Here, we present the cryo-EM structures of the rice vacuolar phytate transporter, OsMRP5, captured in distinct functional states. These structures reveal the molecular basis of OsMRP5 function as an ATP-binding cassette (ABC) transporter. OsMRP5 employs a specialized substrate-recognition mechanism, uniquely adapted to bind the fully hydrophilic InsP6 through extensive electrostatic and hydrogen-bonding interactions within two distinct, highly polar binding sites in its central cavity. A distinctive electropositive tunnel, positioned above the central cavity, forms a continuous pathway connecting the InsP6-binding pocket to the vacuolar export site. This tunnel likely generates an electrostatic attraction that facilitates the movement of the highly anionic InsP6 through the transporter. By mapping mutations from low-phytic acid (lpa) crop variants onto the OsMRP5 structures, we pinpoint their conserved locations critical for transporter function and validate their impact experimentally. These results reveal how OsMRP5 recognizes and transports the highly charged InsP6 molecules into vacuoles, providing a molecular framework for targeted manipulation of this agriculturally important transporter. Show less

To identify latent profiles and influencing factors of toxic leadership behaviors of nurse managers experienced by staff nurses. Cross-sectional study. A total of 12 public hospitals in Guiyang and Zunyi city, Guizhou Province, China. From May 7, 2024 to December 31, 2024, a total of 900 nurses participated, and 868 valid questionnaires were collected with a validity rate of 96.44%. Data was collected via the Toxic Leadership Behaviors of Nurse Managers scale and a demographic questionnaire. Using latent profile analysis (LPA), distinct profiles of toxic leadership behaviors among nurse managers were identified. Univariate and multiple logistic regression analyses were performed to identify the factors associated with the toxic leadership behavior of nurse managers. The toxic leadership behaviors suffered by nurses were divided into four profiles: low toxic leadership behavior group (55.07%), moderate toxic leadership behavior group (16.71%), high toxic leadership behavior group (13.36%), and high Intemperate behavior group (14.86%). The results of multiple logistic regression analysis showed that nurses who are male, employed as non-permanent staff, or working in general hospitals are more susceptible to toxic leadership behaviors. This study used latent profile analysis to identify four distinct subgroups and found that male nurses, non-permanent staff, and nurses in general hospitals are more susceptible to toxic leadership behaviors. These results emphasize the need for developing strategies to address toxic leadership behaviors in order to promote nurses' wellbeing. Show less

Patient safety competency (PSC) is a core element of nursing practice, essential for ensuring high-quality and safe patient care. Newly recruited nurses often face challenges such as transition shock, limited clinical experience, and fragmented safety education, which may hinder their ability to maintain patient safety. Most studies have assessed PSC using total scale scores, overlooking internal heterogeneity within this group. This study aimed to identify latent profiles of PSC among newly recruited nurses and explore the influencing factors to provide evidence for targeted competency development and management strategies. From July to August 2023, a convenience sample of newly recruited nurses was obtained from seven tertiary grade-A hospitals in Shandong Province, China. Data were collected using the General Information Questionnaire, the Transition Shock Scale of Newly Graduated Nurses, the Nurses' Perception of Organizational Support Scale, and the Patient Safety Nurse Competency Evaluation Scale. Latent Profile Analysis (LPA) was conducted to identify the potential subgroups of patient safety competency among newly recruited nurses. Univariate analysis and multivariate logistic regression were performed to examine the influencing factors associated with different latent profile categories. The patient safety competency of newly recruited nurses was categorized into 3 potential profiles: "high safety competency group" (36.9%), "medium safety competency group" (49.4%), and "low safety competency group" (13.7%). The results of the logistic regression analysis revealed that education level, average number of night shifts per week, participation in safety training, involvement in patient safety-related projects, transition shock, and perceived organizational support were significant predictors of patient safety competency among newly recruited nurses (P < 0.05). This study identified three distinct latent profiles of patient safety competency among newly recruited nurses, revealing a moderate overall competency level with notable heterogeneity. Nursing managers should pay particular attention to nurses with moderate and low competency levels and implement targeted, evidence-based interventions to strengthen their patient safety competency and promote safer clinical practice. Not applicable. Show less

Studies of surrogate decision-makers (SDMs) in the intensive care unit (ICU) often report high average levels of family decision-making self-efficacy (FDMSE). However, these findings contrast with the significant decision conflict commonly observed in clinical practice. This discrepancy suggests that high aggregate FDMSE scores may mask underlying subgroups with distinct experiences. Identifying these latent profiles is essential for understanding the true experiences of ICU SDMs. This study aimed to identify distinct latent profiles of FDMSE among ICU SDMs and explore key influencing factors. A cross-sectional study was conducted among SDMs of ICU patients. Exploratory and confirmatory factor analysis (EFA/CFA) was performed to examine the factor structure of the Chinese FDMSE scale. The verified factor structure was then used for latent profile analysis (LPA). Lastly, univariate and multivariate analyses were performed to identify the main influencing factors. A total of 350 ICU SDMs were included in the analysis. The three-factor model, including treatment decision-making, comfort promotion decision-making, and facing death decision-making, provided a good fit for the Chinese FDMSE scale. Two profiles emerged: 'weak family decision-making self-efficacy', accounting for 55.9% of cases, and 'strong family decision-making self-efficacy', represented by the remaining 44.1%. The 'strong family decision-making self-efficacy' group was more likely to be observed in families where the patients held religious beliefs and were diagnosed with cancer, and where the family decision-makers held religious beliefs, had higher incomes, and had engaged in prior discussions about treatment preferences. This study verified the multi-dimensionality and heterogeneity of the FDMSE of ICU SDMs through EFA, CFA and LPA. The identification of a subgroup with low FDMSE differs from previous studies. Key modifiable factors include socio-economic resources, prior communication of the patients' preferences, and spiritual and cultural background, which serve as crucial levers for strengthening the decision-support framework in critical care settings. By identifying two distinct FDMSE profiles and key influencing factors, it offers critical care nurses a new perspective to design targeted interventions, thereby enhancing their ability to provide personalised decision support. Critical care nurses should receive structured end-of-life communication training to address the shared vulnerability of ICU SDMs in facing death decision-making self-efficacy across both profiles. Show less

Lipoprotein(a) [Lp(a)] promotes atherosclerotic plaque vulnerability through pro-inflammatory and thrombogenic pathways, while the CatLet© angiographic score quantifies coronary lesion complexity. We hypothesized that their integration would improve prognostication in acute myocardial infarction (AMI) after emergency percutaneous coronary intervention (ePCI). In this retrospective cohort, 307 AMI patients undergoing successful ePCI (2020-2022) were stratified by 1-year major adverse cardiovascular/cerebrovascular events (MACCE). Serum Lp(a) and troponin I were measured post-admission. CatLet© and Gensini scores were assessed by blinded analysts. Multivariable logistic regression and ROC analyses evaluated predictive performance. MACCE patients (n = 78) exhibited higher Lp(a) (135.99 ± 33.07vs. 123.35 ± 42.70nmol/L, P = 0.0178) and CatLet© scores (33.58 ± 9.04vs. 30.80 ± 8.24, P = 0.0012) versus controls. Lp(a) (OR=2.339,95%CI:1.519-3.603, P <  0.001) and CatLet© score (OR=1.092, 95%CI:1.027-1.161, P = 0.005) independently predicted MACCE. The combined model Lp(a)≥70.70 nmol/L + CatLet© ≥ 18.6) significantly outperformed individual markers (AUC 0.862 [95%CI:0.83-0.96] vs. 0.780/0.833; DeLong's test confirmed the superiority of the combined model over individual predictors (P = 0.0089, Z = 2.64 vs. Lp(a); P = 0.034, Z = 2.12 vs. CatLet© score), with 88% sensitivity and 83% specificity. The Lp(a)-CatLet© synergy enhances MACCE risk stratification in ePCI-treated AMI, reflecting complementary pathobiological (Lp(a)-driven plaque vulnerability) and anatomical (CatLet©-quantified complexity) pathways. This dual-parameter approach could support post-PCI risk stratification and follow-up planning. Show less

Using latent profile analysis (LPA) based on Self-Determination Theory (SDT), this study aimed to explore the profiles of health behavior motivation among Chinese patients with prediabetes and examine the relationship between these profiles and self-management ability. A cross-sectional study was conducted involving 335 patients with prediabetes. The questionnaires were used to assess health behavior motivation, self-management ability, satisfaction of basic psychological needs and disease knowledge level. Latent profile analysis was performed based on five subscale scores of the health behavior motivation measure. Three distinct latent profiles were identified: a "Self-Determined" profile (C1,29.55%, n=99), a "Non Self-Determined" profile (C2, 55.82%, n=187), and a "Conflicted" profile (C3, 14.63%, n=49). Patients in the C1 profile demonstrated higher levels of autonomy and competence. Patients in the C2 profile were characterized by better disease knowledge and lower relatedness. Compared to patients in the C3 profile, patients in both the C1 and C2 profiles exhibited significantly lower self-management ability. The heterogeneity in health behavior motivation profiles must be considered in the design and clinical practice of personalized interventions for prediabetes. Profile-specific strategies serve as the foundation for enhancing patients' self-management ability and sustaining healthy behaviors. Show less

Calcific aortic valve disease (CAVD) is a cardiovascular disease closely associated with aging. The role of lipoprotein(a) [Lp(a)] has attracted considerable attention in recent years. However, limited research has simultaneously explored the relationships between Lp(a), age, and CAVD. This study sought to assess the relationship linking Lp(a), time-weighted Lp(a), and CAVD. A total of 5,156 inpatients with comprehensive clinical data were recruited for this study. The associations of Lp(a) and time-weighted Lp(a) with CAVD were examined via multivariate logistic regression analysis, alongside the application of restricted cubic spline analysis. The diagnostic utility of Lp(a) and time-weighted Lp(a) for CAVD was assessed by constructing receiver operating characteristic (ROC) curves. CAVD prevalence rose with age, whereas the rate of increase diminished with advancing age. The average Lp(a) level in the young populations with CAVD was more than twice that in the No-CAVD group, particularly among those aged 55 years or younger. The prevalence of CAVD in non-elderly populations was markedly 2–4 fold greater in the higher Lp(a) group (> 30 mg/dL) than in the lower Lp(a) group (≤ 30 mg/dL). Multivariate adjusted odds ratios ‌(ORs) for CAVD increased with advancing Lp(a) or age. Time-weighted Lp(a), which takes into account both age and Lp(a), was more strongly linked to elevated CAVD risk than Lp(a) alone. Time-weighted Lp(a) enhanced the diagnostic value of CAVD, improving both sensitivity and specificity. The risk of CAVD is strongly associated with both age and elevated Lp(a) levels. Time-weighted Lp(a), which integrates these factors, serves as a superior indicator that better captures cumulative long-term Lp(a) variation and yields stronger CAVD risk stratification. The online version contains supplementary material available at 10.1186/s12944-026-02884-8. Show less

Massive open online courses (MOOCs) have transformed global education, yet their long-term effectiveness and evolving learner engagement remain underexplored. This study aims to comprehensively evaluate a nursing MOOC over six years, examining learner engagement, identifying distinct learner profiles, and assessing changes across different developmental stages to inform future MOOC design. A retrospective study was conducted on 4171 completers of the Medical Nursing MOOC on a Chinese MOOC platform, covering eleven semesters from 2018 to 2023. Latent profile analysis (LPA) categorized learners based on unit test scores, and profile distributions were compared across the MOOC's developmental stages. The Medical Nursing MOOC attracted 69,642 registrants with a 5.99% completion rate. Among the 4171 individuals who completed the course, latent profile analysis identified six distinct learner types, demonstrating significant differences in overall learning effect (H = 2823.604, P < 0.001). The chi-squared analysis revealed significant differences between the proportions of the six profiles regarding MOOC developmental stages (χ Findings highlight the evolving role of MOOCs in nursing education. Despite challenges in long-term engagement, the increasing proportion of highly engaged learners and declining dropout rates indicate growing effectiveness and sustainability. These insights provide evidence-based guidance for optimizing MOOC design and implementation. Show less

Improved internet access has exposed rural adolescents in China to a greater risk of internet addiction. However, existing studies seldom examine the relationship between dynamic changes in internet addiction and psychosocial maladjustment. This study aims to explore the transition patterns of internet addiction and its associations with emotional and interpersonal problems over time. A one-year longitudinal survey was conducted among 782 middle school students in rural China. Latent Profile Analysis (LPA) was conducted to identify internet addiction profiles at two time points. Latent Profile Transition Analysis (LPTA) was then used to examine the transition patterns between profiles over time. Subsequently, statistical analyses were conducted to explore how these transitions were associated with emotional and interpersonal problems. Three profiles of internet addiction were identified: minimal-internet addiction, low-internet addiction, and high-internet addiction. Based on LPTA, most adolescents with higher internet addiction at T1 shifted to lower-severity profiles over time (high → minimal: 35.3%; low → minimal: 39.8%; high → low: 33.3%), while some with initially lower levels transitioned to more severe profiles (minimal → high: 6.9%; low → high: 12.2%; minimal → low: 25.7%). Transition into higher addiction profiles predicted increased depression, anxiety, and poorer relationships with parents, peers, and teachers. Conversely, reductions in addiction were linked to improved depressive symptoms. Changes in internet addiction have an impact on adolescent psychosocial maladjustment. Early detection and flexible interventions are essential in rural settings. Show less

This study aimed to investigate the relationship between blood uric acid (UA), serum lipoprotein(a) [Lp(a)], and the severity of neurological damage in patients with acute penetrating artery occlusive cerebral infarction combined with type 2 diabetes mellitus (T2DM). To evaluate the role of UA and Lp(a) levels as independent risk factors for neurological damage severity and poor prognosis, and to observe the therapeutic effect of tanshinone. Clinical data of patients were analyzed to compare differences in indicators between the mild and moderate groups, as well as between groups with good and poor prognosis. Patients in the moderate infarction group showed significantly higher levels of UA, Lp(a), and other biochemical markers, along with higher rates of unhealthy lifestyle habits and comorbidities. UA, Lp(a), and infarct diameter were independent risk factors for poor prognosis. Their combined prediction model demonstrated good sensitivity and specificity. Pre-treatment UA and Lp(a) levels were significantly positively correlated with pre-treatment NIHSS scores and post-treatment mRS scores, respectively. In patients with acute penetrating artery occlusive cerebral infarction combined with T2DM, blood uric acid and serum Lp(a) levels are associated with the severity of neurological damage and serve as independent risk factors for poor prognosis. Show less

The primary renal complication of diabetes mellitus is diabetic kidney disease (DKD). The precise pathogenic mechanisms of DKD remain poorly elucidated. The aim of this study was to identify potential energy metabolism-related genes associated with DKD. The GSE30529 and GSE30528 datasets were retrieved from the Gene Expression Omnibus, and energy metabolism-related genes were obtained from the GeneCards database. Differentially expressed genes (DEGs) between DKD and control groups were analyzed. The biological functions and signaling pathways of these DEGs were evaluated using Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA). The diagnostic performance of hub genes for DKD was assessed using receiver operating characteristic (ROC) curve analysis. Expression levels of five significant energy metabolism-related genes were validated through immunohistochemistry. The Nephroseq V5 tool was used to evaluate gene expression in DKD and to determine correlations between gene expression and renal function in patients with DKD. A total of 17 energy metabolism-related DEGs were identified. Five hub genes-ALB, IGF1, CD36, LPL, and UCP2-were identified. Among these, CD36 and LPL demonstrated relatively high diagnostic accuracy for DKD. The findings suggest that CD36, IGF1, LPL, and UCP2 may serve as potential biomarkers for DKD. The genes CD36, IGF1, LPL, and UCP2 represent potential energy metabolism-related biomarkers with possible applications in the diagnosis and treatment of DKD. Show less

For the advancements of photoresponsive materials with tunable properties, the usage of multidimensional signals is desired. Using the polarization of the light in addition to the wavelength represents a further parameter to control the materials properties. Here, the first-time dynamic and reversible manipulation of the guest-host properties of a nanoporous material by linearly polarized light (LPL) is reported. The material is based on a metal-organic framework (MOF) with photoresponsive azobenzene side groups covalently connected to the MOF structure. The azobenzene moieties are reversibly reoriented by LPL, making the MOF structure and, thus, the pores anisotropic. As a result, the mobility of the guest molecules in the pores of the initially isotropic material becomes anisotropic, which can be dynamically controlled by the light polarization. The experiments by impedance spectroscopy are supported by molecular dynamics (MD) simulations. The study shows that the light polarization can be a further parameter to modify the material properties, allowing a more complex and more refined level of control for smart materials. Show less