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.

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.

In view of the characteristics of H5N6 subtype avian influenza virus(AIV)that it has both high pathogenicity and the risk of cross-species transmission,posing a serious threat to the poultry farming industry and public health security,in order to effectively prevent and control the spread of H5N6 avian influenza,a rapid,sensitive and specific detection technolo-gy was established in this study.The specific monoclonal antibodies against the neuraminidase N6 protein of avian influenza A virus subtype H5N6 were obtained through hybridoma and monoclonal antibody technology.These antibodies were coupled and labeled with carboxyl-functionalized fluorescent quantum dots,along with previously prepared specific antibodies against the hemagglutinin H5 protein.A rapid fluorescence immunochromatographic detection method for the H5N6 subtype of avian influ-enza virus was established according to the principle of double-antibody sandwich immunochromatography.This method a-chieved a detection sensitivity of 1 ng/mL for recombinant hemagglutinin H5 subtype protein and 0.1 ng/mL for recombinant neuraminidase N6 subtype protein.Moreover,the method exhibited no cross-reactivity with other influenza subtypes or patho-gens,such as Newcastle disease(ND),infectious bronchitis(IB),and infectious laryngotracheitis(ILT),thus demonstrating good specificity.The method effectively identified the highly pathogenic avian influenza virus H5 subtype and directly distin-guished the H5N6 subtype with good accuracy.The fluorescent quantum dot immunochromatographic typing detection method established herein met the sensitivity,specificity,and accuracy requirements for H5N6 subtype detection,and can be further used for rapid detection of the H5 and H5N6 subtypes of avian influenza virus.

Small molecules generally refer to natural compounds with a molecular weight less than 1 kD,which have significant research value in many fields such as biological science,pharmaceutical and health care,and environmental science,etc.Aptamers,as a new type of bio-recognition element,can bind specifically to small molecules and other targets with high affinity.They are single-stranded short nu-cleotide sequences selected by the systematic evolution of ligands by exponential enrichment(SELEX)technology.Compared with aptamers of large molecules,aptamers of small molecules often exhibit disad-vantages such as difficult screening,low affinity,and poor specificity.To solve these bottleneck prob-lems,the article provides some strategies of screening and identification of aptamers for small molecules.Firstly,when designing the screening plan for aptamers of small molecules,this article suggests focusing on key points such as library design,SELEX methods,amplification methods,screening process monito-ring methods,and aptamer sequence analysis methods,then choosing or designing appropriate strategies based on the actual situation.Secondly,the structure and affinity of aptamers directly affect their applica-tions.The article briefly introduces methods for analyzing the secondary and tertiary structures of aptam-ers and six common methods for affinity determination.Finally,the article discusses some problems exist-ing in screening and identification of aptamers for small molecules and looks forward to future develop-ment prospects.The whole article aims to provide research strategies for multiple steps of screening and i-dentification of aptamers for small molecules and offer references for improving the efficiency of aptamer screening and identification.

Objective To screen and analyze biomarkers of comorbidity in nonalcoholic fatty liver disease(NAFLD)and colorectal cancer(CRC)based on bioinformatics so as to explore the mechanism of comorbidity.Methods After data related to NAFLD and CRC were downloaded from the public database(GEO),gene set enrichment analysis(GSEA)was performed for all genes to screen the expression pathways,and the common differentially expressed genes of both genes were annotated by GO and KEGG functions.Subsequently,PPI protein interaction network was constructed using STRING online database to screen key genes,and transcription factor-gene regulatory network was constructed based on key genes,and biomarker genes were identified using LASSO regression.Finally,the transcription factor prediction analysis of key genes and SCD was conducted through Network Analyst database,and the transcription factor network was constructed.Results GSEA analysis revealed that signaling pathways such as TNF-α and IL-6-JAK-STAT3 were activated in NAFLD patients.The 17 common differentially expressed genes were mainly enriched in biological processes such as bivalent inorganic cation homeostasis and neutrophil chemotaxis in GO analysis.KEGG pathway analysis showed that common differentially expressed genes were mainly concentrated in IL-17 signaling pathway.The protein interaction network screened out five key genes:TREM1,FPR1,IL1RN,S100A9,and S100A8.IL1RN and SCD,identified by LASSO regression,were validated as biomarker genes using external datasets and immunohistochemistry data from the human protein atlas(HPA)database,showing high expression in CRC tissues.A transcription factor-key comorbidity gene regulatory network was constructed using Network Analyst.Conclusion The genes for comorbidities between NAFLD and colorectal cancer discovered by bioinformatics reveal the potential pathogenesis of comorbidities,and provide ideas for cancer screening and early diagnosis of colorectal cancer in NAFLD patients.

Thyrotoxic periodic paralysis(TPP) is a rare but potentially life-threatening complication of thyrotoxicosis. TPP secondary to thyrotoxicosis factitia(TF) is exceptionally uncommon. Here, we report the case of a 31-year-old female who developed TF and subsequent TPP after taking laxatives containing unknown ingredients. The patient presented with acute onset of quadriplegia. Laboratory investigations revealed severe hypokalemia(serum potassium 1.47mmol/L), thyrotoxicosis[thyroid stimulating hormone(TSH)<0.005 mIU/L, free thyroxine(FT 4) 30.84 pmol/L, free triiodothyronine(FT 3) 7.71 pmol/L], and a decreased thyroglobulin level(3.08 ng/mL). The patient′s symptoms resolved rapidly following potassium supplementation, and thyroid function gradually normalized after discontinuation of the suspected medication. This case highlights the importance of considering TF in the differential diagnosis of TPP, particularly in patients with a history of unknown medication use. It also underscores the diagnostic value of thyroglobulin measurement in identifying TF and outlines clinical strategies for the management of TF-induced TPP.

Objective:To explore the protective effect and mechanism of Rougan Tongluo Decoction on ischemic stroke induced motor disorder rats based on NOD-like receptor thermal protein domain associated protein 3(NLRP3)/Gasdermin D(GSDMD)/Cysteinyl aspartate specific proteinase 1(Caspase-1)pathway.Methods:Establishing a rat model of ischemic stroke with motor disorders using the modified suture method.The rats were randomly divided into model control group,Rougan Tongluo Decoction low,medium and high dose groups and butylphthalide soft capsule group,with 10 rats in each group,Another 10 rats were selected as sham surgery group.After 28 days of administration,the neurological function of rats in each group was evaluated by the Zea-Longa scoring method;The forelimb grasping force of rats in each group was detected by grip tester;The coordination ability of rats was evaluated by rat-mouse rotarod instrument;The expression of NLRP3,GSDMD,Caspase-1 protein and Interleukin-1β(IL-1β)was detected by immunohistochemistry.Results:The NLRP3,Caspase-1,GSDMD protein and IL-1β expression Zea-Longa score in the cerebral cortex of the model control group were significantly higher than those in sham surgery group,the forelimb grasping force was lower than that in sham surgery group,and the latency period for turning the baton was shorter than that in sham surgery group(P＜0.05).The Zeba-Longa score,NLRP3,Caspase-1,GSDMD protein and IL-1 β expression in the cerebral cortex the butylphthalide soft capsule group,low dose,medium dose,high dose Rougan Tongluo decoction group were lower than those in model control group,the forelimb grasping force was higher than that in model control group,and the latency period for turning the baton was longer than that in model control group(P＜0.05).Conclusion:Rougan Tongluo Decoction may alleviate inflammatory response by regulating the NLRP3/Caspase-1/GSDMD signaling pathway to improve neurological function and motor ability in ischemic stroke induced motor disorder rats.

Objective:To explore the protective effect and mechanism of Rougan Tongluo Decoction on ischemic stroke induced motor disorder rats based on NOD-like receptor thermal protein domain associated protein 3(NLRP3)/Gasdermin D(GSDMD)/Cysteinyl aspartate specific proteinase 1(Caspase-1)pathway.Methods:Establishing a rat model of ischemic stroke with motor disorders using the modified suture method.The rats were randomly divided into model control group,Rougan Tongluo Decoction low,medium and high dose groups and butylphthalide soft capsule group,with 10 rats in each group,Another 10 rats were selected as sham surgery group.After 28 days of administration,the neurological function of rats in each group was evaluated by the Zea-Longa scoring method;The forelimb grasping force of rats in each group was detected by grip tester;The coordination ability of rats was evaluated by rat-mouse rotarod instrument;The expression of NLRP3,GSDMD,Caspase-1 protein and Interleukin-1β(IL-1β)was detected by immunohistochemistry.Results:The NLRP3,Caspase-1,GSDMD protein and IL-1β expression Zea-Longa score in the cerebral cortex of the model control group were significantly higher than those in sham surgery group,the forelimb grasping force was lower than that in sham surgery group,and the latency period for turning the baton was shorter than that in sham surgery group(P＜0.05).The Zeba-Longa score,NLRP3,Caspase-1,GSDMD protein and IL-1 β expression in the cerebral cortex the butylphthalide soft capsule group,low dose,medium dose,high dose Rougan Tongluo decoction group were lower than those in model control group,the forelimb grasping force was higher than that in model control group,and the latency period for turning the baton was longer than that in model control group(P＜0.05).Conclusion:Rougan Tongluo Decoction may alleviate inflammatory response by regulating the NLRP3/Caspase-1/GSDMD signaling pathway to improve neurological function and motor ability in ischemic stroke induced motor disorder rats.

Tuberculosis remains the leading cause of death from a single infectious agent worldwide.China is still one of the countries with a high burden of tuberculosis.The structural and functional damage to lung tissue caused by post-tuberculosis pulmonary disease(PTLD)imposes a considerable disease burden on people.How-ever,due to the insufficient understanding of post-tuberculosis lung diseases in the past,the long-term manage-ment of this disease has been lacking for the post-tuberculosis population.This article elaborates on the epidemiol-ogy and hazards,pathogenesis,clinical manifestations,diagnostic methods,treatment and preventive measures of common PTLD,with the aim of enhancing the awareness and attention of tuberculosis physicians to PTLD.It also summarizes the limitations in the etiological mechanism,diagnosis and treatment methods of PTLD,as well as the urgency of in-depth research.