Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

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.

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.

Lung cancer constitutes the most prevalent and lethal malignant tumor in China. Approximately 85% of lung cancer diagnoses correspond to the non-small cell histological subtype [non-small cell lung cancer (NSCLC)]. Despite surgery being the mainstay for early-stage disease, postoperative recurrence remains high and adjuvant chemotherapy offers limited benefit. In recent years, targeted therapy has demonstrated substantial advantages in driver mutation-positive NSCLC. To this end, the Lung Cancer Medical Education Committee of the Chinese Medical Education Association developed guidelines based on a systematic review of evidence through November 2025, using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach and a modified Delphi method. Focusing on epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK), and addressing ROS proto-oncogene 1 (ROS1), B-Raf proto-oncogene serine/threonine kinase (BRAF) V600E mutation, and mesenchymal-epithelial transition factor (MET) exon 14 (METex14) skipping, the guideline covers molecular testing, neoadjuvant/adjuvant therapy, perioperative strategies, minimal residual disease monitoring, and postoperative surveillance. It defines testing requirements, specifies stage-directed and subtype-specific treatments, and standardizes minimal residual disease monitoring. These recommendations emphasize precision and feasibility to improve survival and quality of life.

ObjectiveThis study aimed to elucidate the specific molecular mechanism by which PAGE5 promotes breast cancer cell invasion and hepatic metastasis through regulating the PI3K/AKT signaling pathway and its downstream effector， matrix metalloproteinase 1 （MMP1）. MethodsBioinformatics analysis using the TCGA database was performed to evaluate PAGE5 expression in metastatic breast cancer tissues. The effects of PAGE5 on the proliferation， migration， and invasion capabilities of breast cancer cells were analyzed using CCK-8， EdU， Transwell， and wound healing assays. A splenic injection hepatic metastasis model in NOD-SCID mice was employed to validate the impact of PAGE5 on breast cancer liver metastasis. Transcriptome sequencing and KEGG enrichment analysis were conducted to identify potential signaling pathways regulated by PAGE5. Western blot was used to detect AKT phosphorylation levels. Quantitative real-time polymerase chain reaction （qPCR） was applied to screen and validate downstream target molecules of PAGE5. ResultsBioinformatic analysis revealed that PAGE5 expression was significantly upregulated in distant metastasis of breast cancer. Both in vitro and in vivo experiments confirmed that PAGE5 overexpression markedly enhanced the migration and invasion abilities of breast cancer cells and promoted the formation of liver metastatic lesions， whereas PAGE5 knockdown suppressed breast cancer liver metastasis （P＜0.000 1）. Transcriptome sequencing and KEGG enrichment analysis indicated that PAGE5 significantly activated the PI3K-AKT signaling pathway （P=0.028 5）. Western blot confirmed that PAGE5 upregulated p-AKT levels， which could be reversed by MK2206. The qPCR results confirmed that MMP1 is a key downstream effector of PAGE5， and its expression can be inhibited by MK2206 （P＜0.000 1）. ConclusionsThis study preliminarily demonstrates that PAGE5 can activate the PI3K/AKT signaling pathway and mediate the invasion and liver metastasis of breast cancer through MMP1.

ObjectiveTo analyze the microbial culture positivity rate， pathogen spectrum， prevalence of multidrug-resistant organisms （MDROs）， and differences among donor procurement sources in corneas from the Eye Bank of Guangdong Province， and to provide evidence for eye bank quality control and the prevention of post-keratoplasty infections. MethodsThis retrospective study included 7 442 donor corneas procured by the Eye Bank of Guangdong Province and used for keratoplasty at Zhongshan Ophthalmic Center， Sun Yat-sen University， between 2018 and 2025. During surgery， donor corneoscleral rim tissue was excised for bacterial and fungal culture. Culture-positive specimens underwent microbial identification and antimicrobial susceptibility testing （AST）. Culture-positive corneas were compared across study years， pathogen categories， and donor procurement sources. ResultsOf the 7 442 donor corneas， 251 were culture-positive， corresponding to an overall culture positivity rate of 3.37%， with annual rates ranging from 1.50% to 5.31%. Among culture-positive corneas， 178 （70.92%） yielded bacteria alone， 72 （28.68%） yielded fungi alone， and 1 （0.40%） yielded both bacteria and fungi. Candida spp. and Aspergillus spp. were the predominant fungal isolates. Gram-negative bacteria were more frequently isolated than Gram-positive bacteria. The most common bacterial isolates were Acinetobacter baumannii， Staphylococcus epidermidis， Stenotrophomonas maltophilia， Enterococcus faecium， and Pseudomonas fluorescens. MDROs accounted for 75.47% of bacterial isolates， predominantly Acinetobacter baumannii， Staphylococcus epidermidis， and Enterococcus faecium， and demonstrated an increasing trend over the study period. Donor corneas procured through the Hospital Cornea Retrieval Program （HCRP） had a higher culture positivity rate than those obtained through Organ Procurement Organization （OPO） （P＜0.000 1）. Among culture-positive donor corneas， the proportion of fungal culture-positive corneas was significantly higher in the HCRP group than in the OPO group （P=0.001 5）， whereas the proportion of MDROs among bacterial culture-positive corneas was significantly higher in the OPO group than that in the HCRP group （P=0.005 2）. ConclusionsThe overall culture positivity rate of donor corneas from the Eye Bank of Guangdong Province is relatively low， indicating that the risk of microbial contamination is controlled. However， pathogen profiles and antimicrobial resistance patterns varies by procurement source. Ongoing microbiological and antimicrobial resistance surveillance， together with optimized donor risk assessment and timely reporting of culture results， may further improve eye bank quality management and help inform strategies for preventing post-keratoplasty infections.

ObjectiveTo evaluate the safety and efficacy of oxycodone versus sufentanil for postoperative analgesia in patients with moderate to severe obstructive sleep apnea （OSA） undergoing uvulopalatopharyngoplasty （UPPP）. MethodsWe enrolled 73 consecutive patients with moderate-to-severe OSA （confirmed by polysomnography） scheduled for elective UPPP under general anesthesia at our institution between August 2023 and August 2025. Patients were randomly assigned to receive oxycodone （n = 37） or sufentanil （n = 36） using a random number table . The sufentanil group received 1.5 μg per kilogram of body weight， and the oxycodone group received 0.9 mg per kilogram； both groups used patient-controlled intravenous analgesia （PCIA） pumps with a total volume of 100 mL. A 2 mL loading dose was administered 10 minutes before the end of surgery， followed by a background infusion of 2 mL per hour， 2 mL bolus doses on demand， an 8-minute lockout interval， and a maximum hourly volume of 10 mL. We assessed pain scores （Numerical Rating Scale） at rest and during swallowing， Ramsay sedation scores， morphine-equivalent opioid consumption， PCIA bolus demands， patient satisfaction， time to first oral intake， and adverse events （including respiratory depression， nausea， and vomiting） at 4， 12， 24， and 48 hours postoperatively. ResultsBaseline characteristics were well balanced between the two groups （all P＞0.05）. No significant between-group differences were observed in resting and swallowing NRS scores or Ramsay sedation scores at each postoperative time point， PCIA satisfaction， time to first oral intake， or adverse event incidence across all postoperative time points （all P＞0.05）. Morphine-equivalent opioid consumption was significantly lower in the oxycodone group at all time points， as were unsuccessful PCIA bolus demands at 24 and 48 hours postoperatively （both P＜0.05）. ConclusionsLow-dose oxycodone provided analgesic efficacy similar to that of sufentanil for PCIA after UPPP in patients with moderate-to-severe OSA， with no significant between-group differences in adverse events， time to first oral intake， or satisfaction .The oxycodone group had numerically lower adverse event rates and a shorter time to first oral intake， suggesting a favorable safety profile and potential benefits for reducing opioid-related events and facilitating earlier recovery in this patient population.

Cardiovascular diseases are the leading cause of mortality worldwide， yet their pathogenic mechanisms and functional repair remain incompletely understood. The emergence and development of human induced pluripotent stem cells （hiPSC） have provided unprecedented opportunities for cardiovascular disease research， and markedly enhanced our understanding of cardiovascular disease mechanisms. This review summarizes recent advances in cardiovascular cells and cardiac organoids derived from hiPSC， and presents our team's related research findings in this field. It highlights the induction and differentiation of hiPSC-derived cardiomyocytes and non-myocytes， as well as their roles in disease modeling， functional repair， drug screening， and mechanistic investigation. Furthermore， the current applications of hiPSC-derived cardiac organoids in cardiovascular disease research are also discussed.

ObjectiveTo explore the key genes influencing diacylglycerol metabolism in neuroblastoma （NB）， clarify the expression and clinical significance of diacylglycerol acyltransferase 2 （DGAT2） in NB， and provide a theoretical basis for the diagnosis and targeted therapy of NB. MethodsNB transcriptome data were obtained from GEO （GSE49710） and TCGA （TARGET-NBL） databases. Differentially expressed genes （DEGs） commonly upregulated in MYCN-amplified groups were screened， and the key gene DGAT2 was identified by intersecting the screened DEGs with the diacylglycerol metabolism-related gene set followed by prognostic analysis and comparison. The expression of DGAT2 was analyzed via the R2 database. The potential impact of DGAT2 on the immune microenvironment was explored by combining the single-cell dataset GSE137804. Immunohistochemistry （IHC） was used to detect the expression level of DGAT2 and its correlation with MYCN expression in 55 clinical NB tissues and mouse xenograft tumor tissues. ResultsA total of 907 DEGs commonly upregulated in the MYCN-amplified groups were screened， among which three DEGs were highly expressed in the diacylglycerol metabolism-related gene set （P＜0.05）. After comparison， DGAT2 was found to have the most significant impact on prognosis （HR=1.4， 95% CI：1.2，1.7； P=5.41×10^-7）. Survival analysis showed that patients with high DGAT2 expression had a significantly shorter overall survival. Single-cell analysis revealed that high expression of DGAT2 led to an immunosuppressive microenvironment in NB. IHC results showed that the expression of DGAT2 in NB tissues was significantly positively correlated with MYCN expression in the tumor tissue microarrays of clinical NB patients and the tissues of mouse ectopic xenograft tumors （r_s=0.369 4，P＜0.01）. ConclusionsDGAT2 is highly expressed in MYCN-amplified NB， and may independently predict poor prognosis in NB patients. It is expected to become a diagnostic marker for NB and a potential therapeutic target for MYCN-amplified NB.

ObjectiveTo explore the application effects of environmentally friendly reagents versus traditional reagents in tissue processing， paraffin sectioning， hematoxylin-eosin （HE） staining， special staining， and immunohistochemistry. MethodsPancreatic， renal， splenic， hepatic， pulmonary， skeletal muscle， and cardiac tissues were collected from mice and New Zealand rabbits， and randomly divided into a traditional group （Group A）， an environmentally friendly reagent I group （Group B）， and an environmentally friendly reagent Ⅱ group （Group C）. The processed tissue sections from all three groups were subjected to paraffin sections， HE staining， phosphotungstic acid-hematoxylin staining， and Mallory trichrome staining. The pancreatic tissue sections were subjected to immunohistochemical detection of insulin protein. Evaluation criteria included tissue morphological integrity， embedding operability， section quality， and staining effects. ResultsNo significant differences were observed among the three groups of samples in terms of fixation efficacy， embedding operations， and section quality. After HE staining， all groups exhibited bright nuclear and cytoplasmic staining with clear contrast， with excellent-and-good rates of 98%， 99%， and 97% for Groups A， B， and C， respectively， showing no statistically significant differences （A vs. B， P=0.561； A vs. C， P=0.651）. In phosphotungstic acid-hematoxylin staining， Groups A and C showed clear structural contrast and bright staining for striated muscle and collagen fibers， whereas Group B exhibited uneven staining. The excellent-and-good rates were 100%， 10%， and 95% for Groups A， B， and C， respectively， with significant differences between Group A and Group B （P＜0.01） but no statistical difference between Group A and Group C （P=0.311）. In Mallory trichrome staining， Groups A and B outperformed Group C. The excellent-and-good rates were 95%， 90%， and 15% for Groups A， B， and C， respectively， with significant differences between Group A and Group C （P＜0.01）， but no statistical difference between Group A and Group B （P=0.548）. Immunohistochemical results showed that Group A had a clean background with no non-specific staining， while Groups B and C exhibited significant non-specific staining， with statistically significant differences in non-specific staining rates between the groups （A vs. B， 5% vs. 100%， P＜0.01； A vs. C， 5% vs.100%， P＜0.01）. ConclusionIn HE staining， environmentally friendly reagents demonstrated effective tissue fixation and staining results comparable to traditional reagents， meeting the teaching requirements. For special staining， Group B and Group C performed better in Mallory trichrome staining and phosphotungstic acid-hematoxylin staining， respectively. However， environmentally friendly reagents exhibited non-specific staining issues in immunohistochemistry， where further optimization is required.