Both cathartic colon （CC） and cathartic-dependent constipation （CDC） are caused by the abuse of stimulant laxatives， while their concepts are not completely the same.Starting from the disease name of CC， this article traced the origin and evolution of the concept of CC， summarizes and compared the similarities and differences between CC， CDC， and slow transit constipation （STC）， and called for strict differentiation among the three.Furthermore， this article explored the specific contents of Western medicine clinical subtypes and traditional Chinese medicine （TCM） syndrome differentiation of CDC and delved into the TCM pathogenesis of CDC according to both literature and clinical practice.The relationship between clinical subtypes and TCM syndromes was established， and the syndrome characteristics of CDC of different clinical subtypes and TCM syndromes were summarized.The recommended prescriptions for corresponding syndromes were listed.A systematic CDC diagnosis and treatment approach of "clinical subtypes-syndrome differentiation-syndrome characteristics-recommended prescriptions" was thus formed.Additionally， the paper provides an overview of current research on CDC in both Western medicine and TCM contexts， identifies future research directions， and suggests research pathways for refining and advancing CDC studies.

ObjectiveTo observe the clinical efficacy of the Yiqi Yangyin Huoxue prescription （YYHP） in the treatment of cathartic colon （CC） and its effects on fecal short-chain fatty acids （SCFAs）， and to explore the correlations among CC severity indicators and between these indicators and patient history. MethodsAccording to the inclusion and exclusion criteria， 98 patients meeting the diagnostic criteria of both traditional Chinese and Western medicine for CC with the syndrome of Qi-Yin deficiency complicated by blood stasis were randomly assigned to an observation group and a control group. The observation group received YYHP granules， while the control group received lactulose. Both medications were administered twice daily， one sachet each time， half an hour after breakfast and dinner， with a treatment course of 8 weeks. The primary constipation symptom score， Patient Assessment of Constipation Quality of Life （PAC-QOL） score， and TCM syndrome score were assessed before and after treatment and at the 8^th week after the end of treatment. The overall clinical effective rate， as well as the efficacy attenuation index and degree， were evaluated. Fecal SCFA levels were measured using gas chromatography-mass spectrometry （GC-MS）. Spearman correlation analysis was performed to explore the correlations among CC severity indicators and between these indicators and patient history. ResultsThe overall clinical effective rate in the observation group （95.83%） was higher than that in the control group （78.72%） （P<0.05）. After treatment， the total scores for primary constipation symptoms， PAC-QOL， and TCM syndromes decreased in both groups （P<0.05）， with more significant reductions in the observation group （P<0.05）. The severity of all primary constipation symptoms was alleviated in both groups （P<0.05）. In terms of "excessive straining and difficult defecation"， "anal heaviness， incomplete evacuation， and bloating sensation"， "abdominal distension"， and "defecation frequency"， the observation group showed better efficacy than the control group （P<0.05）. Scores of the four PAC-QOL dimensions and the scores and severity of primary and secondary TCM symptoms were reduced in both groups （P<0.05）， with more significant reductions in the observation group （P<0.05）. After treatment， acetic acid， propionic acid， butyric acid， and total SCFAs in the observation group increased significantly （P<0.05）. The efficacy attenuation index and degree in the observation group were lower than those in the control group （P<0.05）. No severe adverse reactions occurred in either group， and there was no statistically significant difference in the incidence of adverse reactions between the two groups. Positive correlations of varying degrees were observed among the total scores of primary constipation symptoms， PAC-QOL， and TCM syndromes， as well as between these scores and the history of stimulant laxative use， disease duration， and age. ConclusionYYHP can effectively alleviate the primary constipation symptoms in CC patients， improve quality of life， and ameliorate TCM syndromes， with good safety. It also has the advantage of a lower rebound degree after drug withdrawal， and its mechanism may be related to increasing fecal SCFA levels. Long-term abuse of stimulant laxatives may aggravate the severity of CC and prolong the disease course.

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.

Flap transplantation is a critical surgical strategy for the reconstruction of tissue defects caused by trauma, tumor resection, and congenital malformations, and its survival rate directly determines surgical efficacy and patient prognosis. Following transplantation, flaps inevitably undergo ischemia-reperfusion (I/R) injury, during which oxidative stress, inflammatory responses, and metabolic disturbances are intricately intertwined, ultimately leading to cellular injury and tissue necrosis. Recent studies have demonstrated that multiple forms of programmed cell death—including apoptosis, pyroptosis, ferroptosis, necroptosis, and PANoptosis—play central roles in flap I/R injury. The extensive crosstalk and molecular interactions among these pathways form a highly complex cell death network. Specifically, apoptosis is mediated by the imbalance of Bcl-2 family proteins and the activation of cysteine-dependent aspartate-specific protease (caspase) cascades; pyroptosis is driven by the NLRP3-caspase-1-GSDMD axis, resulting in membrane pore formation and the release of pro-inflammatory cytokines; ferroptosis is characterized by iron-dependent lipid peroxidation and dysfunction of glutathione peroxidase 4 (GPX4); necroptosis is triggered by the receptor-interacting serine/threonine-protein kinase 1 (RIPK1)-RIPK3-MLKL signaling complex, leading to membrane rupture; and PANoptosis represents an integrated form of inflammatory cell death that coordinates multiple death pathways. Importantly, these forms of programmed cell death are not independent but are interconnected through extensive signaling crosstalk. Key regulatory molecules, including caspase-8, reactive oxygen species (ROS), nuclear factor-κB (NF-κB), and nuclear factor erythroid 2-related factor 2 (Nrf2), collectively modulate the dynamic balance among these pathways. Therefore, the multidimensional interplay and spatiotemporal dynamics of programmed cell death constitute a fundamental pathological basis of flap I/R injury. This review systematically summarizes the latest advances in the mechanisms and interactions of various programmed cell death pathways in flap I/R injury, aiming to elucidate the underlying regulatory network. These insights may provide novel theoretical foundations for optimizing flap protection strategies, improving flap survival, and promoting tissue repair.

Objective:To explore the application effects of the blended teaching methodology of "teaching-selection-investigation-analysis-presentation-discussion" in Medical Immunology. Methods:Eight-year program clinical medical students who were enrolled at Peking Union Medical College in 2016, 2017, and 2018 were selected as the research subjects. An anonymous questionnaire survey was used to analyze students' multidimensional evaluations of the new teaching methodology. The percentage of frontier hotspot topics in the "Immunology Forum" was used to analyze the students' mastery of cutting-edge knowledge in immunology. The number of "Immunology Forum" related "College Students Innovative Training Plan Program" from 2020 to 2023 was used to analyze the effectiveness of this new teaching method in cultivating students' scientific research and innovation abilities. Statistical analysis was conducted using SPSS 25.0 software, and the normality of all continuous variables was assessed using the Shapiro-Wilk test.Results:The questionnaire survey showed 100.00% satisfaction with the course and 95.90% recognition of the new teaching method. More than 90% of students agreed that the new teaching method improved their learning ability, research ability, innovation ability, internal drive, and academic communication ability. The average proportion of hotspot topics in the "Immunology Forum" was 90.37%±7.12%, which was significantly higher than the proportion of non-hotspot topics (5.67%±3.12%). The average number of topics related to "Immunology Forum" in the "College Students Innovative Training Plan Program" was 17.67±1.15 per session, which was significantly higher than the number of topics not related to "Immunology Forum" (8.00±1.73).Conclusions:The blended teaching methodology of "teaching-selection-investigation-analysis-presentation-discussion" can help students timely grasp the cutting-edge knowledge of immunology, cultivate their learning ability, internal drive, academic communication ability, innovation ability, and research ability, and lay a foundation for students to further explore their scientific research and innovation activities.

Objective:To analyze the epidemiological characteristics and delay in detection of reported brucellosis cases in Nangang District of Harbin City, Heilongjiang Province, in order to provide a basis for improving targeted measures for brucellosis prevention and control.Methods:Data on brucellosis reported in Nangang District of Harbin City between 2018 and 2022 were obtained from the China Disease Prevention and Control Information System. A descriptive analysis was conducted to outline the epidemiological status, epidemiological features, and sources of cases. Seasonal patterns of brucellosis were assessed using the concentration degree and seasonal index methods. Joinpoint regression model was used to analyze the trend of delay in detection.Results:From 2018 to 2022, a total of 4 428 cases of brucellosis were reported in Nangang District, with 1 183 cases (26.72%) reported in 2018 and 528 cases (11.92%) reported in 2022. The gender ratio of the cases was 2.80 ∶ 1.00 (3 264 ∶ 1 164). Most cases occurred in individuals aged 30 to 59 years (73.19%, 3 241/4 428). Occupationally, farmers comprised the majority of cases (88.73%, 3 929/4 428), followed by homemakers/unemployed individuals (3.73%, 165/4 428), and students (2.03%, 90/4 428). Regarding case origin, 31.48% (1 394/4 428) were from Harbin City, while 64.97% (2 877/4 428) originated from other cities within Heilongjiang Province, predominantly from Suihua City (38.89%, 1 722/4 428). Additionally, 157 cases (3.55%, 157/4 428) were reported from outside Heilongjiang Province, all of which were from Inner Mongolia Autonomous Region and Jilin Province. Brucellosis incidence showed weak seasonality ( M = 0.230), with the epidemic period spanning from March to August. During this period, seasonal indices C exceeded 100%, peaking in July (168.02%). From 2018 to 2022, the average annual delay rate in case detection was 20.14% (892/4 428). The delayed detection rates of brucellosis cases in each year were 30.68% (363/1 183), 17.86% (200/1 120), 17.23% (117/679), 12.75% (117/918), and 17.99% (95/528), respectively (average annual percentage change = - 17.52%, P = 0.090). Conclusions:Brucellosis in Nangang District of Harbin Citydemonstrates weak seasonality, with peak incidence occurring from March to August. Detection delays remain a concern, highlighting the need for sustained surveillance and the implementation of integrated, multi-sectoral prevention and control measures.

BACKGROUND:In previous studies,the equivalent structure of three-dimensional cell reconstruction of tissue engineering oral mucosa is similar to normal oral mucosa,including epithelial-like structure,lamina propria-like structure,and vascular lumen-like structure,and has initially achieved the establishment of vascular equivalent,but its vascularization characteristics are not very clear.OBJECTIVE:Vascular-like structures of vascularized oral mucosa equivalent were obtained by targeting vascular endothelial cells specific marker expression profiles correlated with laser capture microdissection system,and their vascularization ability was evaluated to reveal their vascularization characteristics.METHODS:Human gingival epithelial cells were cultured from human gingival epithelium and human gingival fibroblasts,human gingival mesenchymal stem cells were cultured from human gingival lamina propria.Human gingival mesenchymal stem cells were induced to differentiate into vascular endothelial-like cells after monoclonal expansion culture.Human gingival epithelial cells,human gingival fibroblasts,and vascular endothelial-like cells were loaded with acellular vascular matrix-0.25%human-like collagen type Ⅰ scaffold to construct the vascularized oral mucosa equivalent.The layered structure of oral mucosa equivalent(experimental group)and the acellular vascular matrix-0.25%human-like collagen type Ⅰ scaffold(control group)were implanted subcutaneously into the back of nude mice,respectively.14 days later,the incision surface of the two groups was coated with biogel.The biogel surface of the experimental group was inoculated with human gingival epithelial cells,while the control group was not inoculated with cells.The samples were collected after 14 days of feeding.The layered structure of oral mucosa equivalent was observed by morphology.The neovascular-like structures in oral mucosa equivalents were labeled by immunohistochemistry and immunofluorescence with a more comprehensive expression profile of vascular endothelial cells,and the vascularization characteristics were analyzed.A laser capture microdissection system was used to capture the neovascularization structures in the oral mucosa equivalents specifically labeled by immunohistochemistry and analyze their vascularization characteristics.RESULTS AND CONCLUSION:(1)The morphology showed that the cell level of oral mucosa equivalent was clear,and the structure was similar to that of normal oral mucosa,that is,there were epithelioid structures,lamina-like structures,and vascular cavelike structures,and there were scattered erythrocytes in the vascular cavelike structures.(2)The results of EdU Apollo tracer seed cells in the oral mucosa equivalent group showed that human gingival epithelial cells labeled with EdU Apollo 488 showed green fluorescence expression.DAPI labeled human gingival fibroblasts showed blue fluorescence expression and formed lamina-like structures in vivo.EdU Apollo 567 labeled vascular endothelial-like cells showed red fluorescence expression and formed a vascular-like structure in vivo.(3)Vascular endothelial cell specific marker expression profile immunofluorescence labeling of vascular structure showed that compared with normal oral mucosa,the expressions of CD31,CD51,CD54,CD105,Tie-2,VWF,vascular endothelial growth factor receptor 1,and vascular endothelial growth factor receptor 2 in oral mucosa equivalents were increased(P<0.000 1).There were no significant changes in CD34 expression(P>0.05).(4)Compared with the specifically labeled oral mucosal vascular structures,the expression levels of CD51,CD54,CD105,Tie-2,VWF,vascular endothelial growth factor receptor 1,and vascular endothelial growth factor receptor 2 of the oral mucosa equivalents targeted by the laser capture microdissection system were increased(P<0.000 1).There were no significant changes in expression of CD31 and CD34(P>0.05).(5)The results showed that the oral mucosa equivalent reconstructed by three-dimensional cell stratification could achieve good vascularization,and its vascularization characteristics were consistent with the immunological function and characteristics of neovascularization.Vascularization helps three-dimensional cell layer reconstruction of oral mucosa equivalent regeneration.

Objective:To investigate the current status and influencing factors of decision anxiety in guardians of children with acute appendicitis under Endoscopic retrograde appendicitis therapy (ERAT) background, and to provide reference for the development of targeted intervention programs for decision anxiety.Methods:Convenient sampling method was used to select 254 guardians of children with acute appendicitis treated in the Department of Pediatrics, Second Affiliated Hospital of PLA Air Force Medical University from February 2023 to April 2024. A cross-sectional survey was conducted using the General Data Questionnaire, the State-Trait Anxiety Inventory Form Y-State anxiety subscale and the Preparation for Decision Making Scale. Multiple linear regression was used to analyze the influencing factors in guardians of children with acute appendicitis.Results:Among the guardians of 254 children with acute appendicitis, 156 were males and 98 were females, aged (37.44 ± 3.63) years old. The decision anxiety score of guardians of children with acute appendicitis was (52.49 ± 6.54). The results of multiple linear regression showed that age of children, gender of guardian, education level of guardian, per capita monthly income of family, decision making tendency and decision preparation were the main influencing factors of decision anxiety in guardians of children with acute appendicitis ( t values were -7.07-3.58, all P<0.05), which could explain 64.4% of the total variation. Conclusions:The decision anxiety in guardians of children with acute appendicitis is at a high level. Medical staff should provide targeted decision guidance, improve decision assistance programs and provide more effective decision support for guardians of children with acute appendicitis.

AIM To screen the material basis for Rhei Radix et Rhizoma on improving human umbilical vein endothelial cell(HUVECs)injury before and after carbonization.METHODS The HPLC fingerprints were established,after which difference analysis was performed by orthogonal partial least squares discriminant analysis.The LPS-induced HUVECs injury model was established,then NO,MDA levels and SOD activity were detected.Gray correlation analysis and partial least squares regression were adopted in the investigation of spectrum-effect relationship,and active constituents were screened.RESULTS There were 22 and 20 common peaks in the fingerprints for 17 batches of raw products and carbonized products,respectively,along with the similarities of more than 0.8.Twelve main difference components were observable,among which gallic acid,5-hydroxymethylfurfural,catechin,aloe rhodopsin-8-O-β-D-glucoside,rhubarbic acid-8-O-β-D-glucoside and sennosides A were identified.The carbonized products demonstrated stronger effect on improving HUVECs injury than the raw product.The correlations of common peaks were more than 0.5 in the fingerprints for raw products and carbonized products,and peaks 3,5,11,12,15,19,23 exhibited significant effects on their efficacy(VIP values＞1).CONCLUSION This accurate,reliable and reproducible method can provide a basis for clarifying the material basis for hemostatic efficacy of Rhei Radix et Rhizoma and its carbonized product.