Objective: To investigate the association between brain and muscle Arnt like protein 1( BMAL 1) gene and ambulatory blood pressure (ABP) parameters in college students, and to explore the influence of the interaction between the gene and weight status on the ABP levels, so as to provide reference for early prevention of chronic cardiovascular diseases related to hypertension. Methods: During September 2022 to June 2024, a total of 510 college students were recruited from a university in Changsha, China for on site questionnaire investigation, physical examination, ABP monitoring and genotyping testing. Multiple linear regression method was used to explore the association between the BMAL 1 gene and ABP indicators. An interaction term was included in the general linear model of multiple linear regression to analyze the interactive effects of BMAL 1 gene polymorphisms and weight status on ABP levels. Results: The prevalence of abnormal 24 hour blood pressure, abnormal daytime blood pressure, and abnormal nighttime blood pressure were 3.3%, 3.1%, and 3.9%, respectively. Multiple linear regression analysis showed that the BMAL 1/rs7950226 polymorphism was positively correlated with the 24 hour diastolic blood pressure(DBP) and the daytime DBP level after adjusting for gender, age, and body mass index( β =0.87,0.99, both P <0.05). Also, interaction between BMAL 1/ rs 11022775 and weight status on the nighttime DBP level ( P interaction =0.03) was found. The CC genotype carriers had significantly higher nighttime DBP level ( β =3.52, P <0.05) among overweight/obesity college students, but no differences in nocturnal DBP levels were observed between CC genotype carriers and TT+CT genotype carriers among college students with normal body weight( P > 0.05). Conclusions The rs 7950226 polymorphism is associated with 24 hours DBP and daytime DBP levels. Significant interaction between rs 11022775 with weight status on the nighttime DBP level is found among college students.

Abstract To effectively evaluate insulin resistance (IR) in obese children and prevent chronic diseases, the review systematically elucidates the physiological significance and clinical utility of lipid accumulation product (LAP) in IR assessment of obese children. LAP can effectively reflect visceral fat accumulation and lipid metabolism disorders, and correlates with the core pathological indicators of IR. It also shows better diagnostic efficacy in identifying IR than traditional anthropometric measurement indicators; its dynamic changes can monitor the effectiveness of lifestyle interventions and drug treatments, facilitating the formulation of personalized intervention plans strategies for obese children. Future research should focus on the metabolic characteristics of Chinese children and adolescents, establish localized and standardized LAP reference values, and provide evidence based support for exploring precise comprehensive intervention measures and improving the metabolic health of obese children.

Background/Aims: Lenvatinib resistance remains a critical barrier in advanced hepatocellular carcinoma (HCC) therapy. However, the underlying mechanisms and strategies for reversing resistance remain incompletely understood. Methods: Integrated transcriptomics of lenvatinib-resistant patient tumors and an acquired-resistance murine model identified a novel macrophage subpopulation. Functional validation employed CRISPR-SAM screening, conditioned medium (CM) assays, subcutaneous/orthotopic xenografts, patient-derived organoids (PDOs), and patient-derived xenografts (PDXs). Mechanistic studies included ChIP-qPCR, co-immunoprecipitation, and pharmacologic targeting. Clinical relevance was assessed in a retrospective cohort. Results: Resistant HCC exhibited significant enrichment of a COLEC12high TAM subset , which correlated with poor survival and treatment response. These TAMs secreted neuregulin-1 (NRG1) , activating HER2/HER3-AKT signaling in tumor cells to drive cancer stemness and lenvatinib resistance. Mechanistically, in TAMs COLEC12 sequestered STAT1 in the cytoplasm, preventing its phosphorylation, and thereby derepressing STAT3-mediated NRG1 transcription. Depletion of NRG1 reversed the stemness phenotypes and resensitized tumors to lenvatinib both in vitro and in vivo. Clinically, high NRG1 expression predicted an inferior lenvatinib response and shorter survival. Crucially, the bispecific anti-HER2/HER3 antibody zenocutuzumab restored lenvatinib efficacy in PDOs, PDXs, and murine models. Conclusions Our work establishes the COLEC12high TAM/NRG1 axis as a master regulator of therapeutic resistance and identifies NRG1 as a predictive biomarker, providing a clinically actionable strategy to overcome lenvatinib resistance in HCC.

Background/Aims: Natural killer (NK) cell function is generally considered dampened in chronic hepatitis B virus (HBV) infection; however, the NK cell pool exhibits phenotypic and functional heterogeneity, and the antibody--mediated effect of NK cells remains less characterized. This study evaluated the dynamic changes in antibody-mediated NK cell responses and the involvement of distinct NK subsets across disease stages and during antiviral treatment. Methods: A T-cell receptor-like antibody specific for the HBV core 18–27 peptide (cTCRL-Ab) was used to determine the antibody-mediated effect of NK cells, and an array of NK cell surface markers were analyzed in cross-sectional and longitudinal cohorts of patients with chronic HBV infection. Single-cell RNA sequencing (scRNA-seq) was performed to identify the heterogeneity of NK subsets. Results: The cTCRL-Ab enabled the detection of NK cell cytolytic activity and IFNγ production. Notably, cTCRL-Ab-mediated NK cell responses were compromised in chronically HBV-infected patients, particularly in those receiving pegylated interferon-α (Peg-IFNα), which was associated with the downregulation of CD16 expression. Correspondingly, Peg-IFNα inhibited cTCRL-Ab-mediated NK cell function by reducing CD16 expression in vitro. scRNA-seq revealed that CD16 downregulation occurred mainly within a dysfunctional CD16hi NK subset exhibiting exhaustion properties. In contrast, an activated CD16hiNK subpopulation (CX3CR1⁺KLRC2–CD16hi) with high cytotoxicity was enriched in patients who experienced favorable treatment responses. Furthermore, the intrahepatic CX3CR1+KLRC2–CD16hi subset tended to exhibit functional restoration in HBsAg-loss individuals. Conclusions Our data contribute to the understanding of antibody-mediated responses of NK cells in chronic HBV infection, and highlight a previously unappreciated functional CX3CR1+KLRC2–CD16hiNK subset as a potential therapeutic target.

This article reports a rare case of autoinflammatory disease presenting initially with skin induration and swelling after trauma as the initial manifestation, followed by progressive limb weakness. The patient was a middle-aged female who developed skin induration and swelling after trauma, which gradually progressed to limb weakness, dysarthria and bilateral facial paralysis, accompanied by livedo reticularis of the lower extremities, diffuse skin induration of the limbs, and beaded subcutaneous nodules in the right upper limb. The patient had a susceptibility to infection since childhood and a history of chronic livedo reticularis. Skin pathological examination revealed panniculitis. A comprehensive etiological screening for special infections and autoimmune diseases was completed with an unremarkable results, and whole-exome sequencing showed no abnormal findings. Following a multidisciplinary discussion combined with RNA sequencing results, the patient was diagnosed with an autoinflammatory disease, with a suspected type Ⅰ interferonopathy. Treatment with tofacitinib resulted in gradual improvement of clinical symptoms. This case highlights the importance of detailed medical history collection, systematic physical examination and multidisciplinary collaborative diagnosis and treatment, and underscores the pivotal role of molecular diagnosis in the confirmation of rare diseases. It can provide a reference for the clinical diagnosis and management of similar rare cases.

Objective To investigate the cross-sectional associations between different fatty liver classifications and cardiac structure and function in people undergo health examination. Methods A total of 6 545 adults who underwent health examinations at the Health Management Center of Zhongshan Hospital, Fudan University between January 1 and December 31, 2017, were retrospectively included. Demographic characteristics and laboratory data were collected. The hepatic steatosis was graded by ultrasonography. And patients with fatty liver were further stratified according to alanine aminotransferase (ALT) or aspartate aminotransferase (AST) levels, as well as the degree of liver fibrosis. Cardiac morphology and function were assessed by transthoracic echocardiography, and left ventricular geometric patterns were classified accordingly. Multivariate logistic regression analysis was performed to evaluate the associations between fatty liver classifications and cardiac abnormalities. Results There were 2 795 patients (42.7%) with fatty liver, of whom 832 (29.8%) had significant cardiac structural alterations and 1 500 (53.7%) had diastolic dysfunction. Severe fatty liver was risk factor for concentric remodeling and increased relative wall thickness (RWT), with odds ratios (ORs) of 1.27 (P＝0.012) and 1.27 (P＝0.009), respectively. Fatty liver accompanied by elevated ALT or AST was risk factor for concentric remodeling (OR＝1.45,1.56; P＝0.001, 0.001), increased RWT (OR＝1.48,1.57; P＜0.001, ＜0.001), and diastolic dysfunction (OR＝1.27, 1.32; P＝0.035, 0.040), respectively. Fatty liver with liver fibrosis was risk factor for concentric remodeling (OR＝1.83, P＝0.046) and diastolic dysfunction (OR＝2.64, P＝0.034). Conclusions Advanced fatty liver, including severe hepatic steatosis, accompanied by elevated liver enzymes or liver fibrosis, could increase risks of cardiac remodeling and diastolic dysfunction, while systolic function is preserved. For patients with fatty liver, it is recommended to undergo regular ultrasonography examination.

ObjectiveTo evaluate the efficacy and safety of early intradermal needle therapy in preventing retained products of conception （RPOC） following induced abortion. MethodsA randomized， single-blind， placebo-controlled trial design was applied. Eighty-eight patients scheduled for early induced abortion were randomly assigned to either an intradermal needle group （44 cases） or a sham control group （44 cases）. Both groups underwent ultrasound-guided vacuum aspiration under general anesthesia and received standard postoperative pharmacological care. Immediately following the operation， the intradermal needle group received active intradermal needle therapy at bilateral Sanyinjiao （SP 6）， Hegu （LI 4） and Zhiyin （BL 67）， with needles retaining for 3 days， acupoint pressing three times daily for 5 minutes per acupoint， followed by 5 minutes of walking after each pressing session； while the sham control group received a visually identical， blunt-tipped sham needle intervention. The primary outcome was endometrial thickness measured by Doppler ultrasound at week 2 post-procedure. Secondary outcomes included the incidence of RPOC， visual analog scale （VAS） score and PTSD Checklist-Civilian Version （PCL-C） score at 2 hours post-procedure， volume and duration of vaginal bleeding， uterine volume， Pictorial Blood Loss Assessment Chart （PBAC） scores at weeks 5 and 12， menstrual cycle characteristics， and adverse events should be recorded. ResultsAt week 2 post-procedure， endometrial thickness was significantly lower in the intradermal needle group compared to the sham control group （P＜0.05）. Transvaginal ultrasonography at postoperative week 2 showed thinner endometrium in the intradermal needle group than in the sham group （P＜0.05）. RPOC occurred 1 case （2.27%） in the intradermal needle group versus 9 cases （20.45%） in the sham control group， yielding a significantly higher RPOC incidence in the sham control group （P＜0.05）. Patients in the intradermal needle group had less postoperative vaginal bleeding volume and shorter bleeding duration than those in the sham control group （P＜0.05）. No statistically significant difference was found in 2-hour postoperative VAS pain score， uterine volume at postoperative week 2 and week 5， PBAC score at postoperative week 5 and week 12， or menstrual cycle at postoperative week 12 between groups（all P＞0.05）. No obvious adverse reactions were observed in either group. ConclusionImmediate intradermal needle intervention after early induced abortion can significantly reduce the incidence of postoperative RPOC， exert beneficial effects on reducing the volume and duration of postoperative vaginal bleeding as well as alleviating post-traumatic stress symptoms， with good safety.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

OBJECTIVE To construct a closed-loop management model for externally dispensed intravenous prescriptions， and to provide reference for standardized management of externally dispensed intravenous prescriptions. METHODS Based on the Expert Consensus on Closed-loop Management of Externally Dispensed Intravenous Prescriptions in Guangxi Zhuang Autonomous Region previously formulated by our hospital， risk points during the entire process were systematically identified through multidisciplinary team brainstorming and a fishbone diagram. A series of strategies were subsequently formulated and implemented， including qualifying designated external dispensing pharmacies and the drug catalogs， operating and maintaining the hospital information system and the Pharmacy Intravenous Admixture Service （PIVAS） intelligent management platform， and strengthening differentiated training for staff in the whole workflow. A whole-process closed-loop management system was constructed with PIVAS as the co re hub and the daytime chemotherapy center as the safety terminal. RESULTS A total of 3 cooperating pharmacies and an initial drug list comprising 35 product specifications were selected. A closed‑loop management process encompassing hospital outpatient prescribing， patient drug purchase in designated pharmacies， PIVAS drug dispensing， and medication use in daytime chemotherapy center was successfully established. This system enabled the mandatory grouping and association of externally dispensed intravenous prescriptions with in-hospital diluents， full-process verification based on drug traceability codes， intelligent monitoring of infusion parameters， and whole-process data traceability. CONCLUSIONS The constructed model effectively resolves the coordination and safety oversight during the use of externally dispensed intravenous drugs from out-of-hospital circulation to in-hospital use， and has preliminarily enabled procedural standardization， whole-process information traceability， and proactive control of medication risks.

OBJECTIVE To observe the clinical efficacy of evolocumab combined with atorvastatin in the treatment of patients with borderline coronary heart disease （CHD）. METHODS In this retrospective cohort study， 342 hospitalized patients diagnosed with borderline CHD were enrolled in the First Affiliated Hospital of Nanyang Medical College from August 2021 to June 2024， and divided into control group （treated with atorvastatin， 190 cases） and trial group （treated with evolocumab combined with atorvastatin， 152 cases） according to therapeutic regimen. Blood lipid indexes， high-sensitivity C-reactive protein （hs-CRP） and intravascular ultrasound of the coronary artery at baseline and after 1 year of treatment， and incidence of cardiovascular adverse events were compared after propensity score matching. RESULTS A total of 295 patients （158 in control group and 137 in trial group） were finally included in the analysis. One year after the treatment， compared with control group， total cholesterol， triglycerides， low-density lipoprotein cholesterol and hs-CRP levels were decreased significantly in trial group （ P ＜0.05）， whereas high-density lipoprotein cholesterol level was increased significantly （ P ＜0.05）. The lumen diameter， lumen area， and the minimum lumen area were significantly increased （ P ＜0.05）， while plaque area and plaque burden were significantly decreased （ P ＜0.05）. Overall incidence of adverse events in trial group was significantly lower than that in control group （ P ＜0.05）. CONCLUSIONS Evolocumab combined with atorvastatin can significantly improve coronary luminal narrowing and reduce plaque burden， as well as reduce the incidence of cardiovascular adverse events in patients with borderline CHD.