Objective To explore the feasibility and reference value of allogeneic lung transplantation and postoperative monitoring in miniature pigs for lung transplantation research. Methods Two miniature pigs (R1 and R2) underwent left lung allogeneic transplantation. Complement-dependent cytotoxicity tests and blood cross-matching were performed before surgery. The main operative times and partial pressure of arterial oxygen (PaO₂) after opening the pulmonary artery were recorded during surgery. Postoperatively, routine blood tests, biochemical blood indicators and inflammatory factors were detected, and pathological examinations of multiple organs were conducted. Results The complement-dependent cytotoxicity test showed that the survival rate of lymphocytes between donors and recipients was 42.5%-47.3%, and no agglutination reaction occurred in the cross-matching. The first warm ischemia times of D1 and D2 were 17 min and 10 min, respectively, and the cold ischemia times were 246 min and 216 min, respectively. Ultimately, R1 and R2 survived for 1.5 h and 104 h, respectively. Postoperatively, in R1, albumin (ALB) and globulin (GLB) decreased, and alanine aminotransferase increased; in R2, ALB, GLB and aspartate aminotransferase all increased. Urea nitrogen and serum creatinine increased in both recipients. Pathological results showed that in R1, the transplanted lung had partial consolidation with inflammatory cell infiltration, and multiple organs were congested and damaged. In R2, the transplanted lung had severe necrosis with fibrosis, and multiple organs had mild to moderate damage. The expression levels of interleukin-1β and interleukin-6 increased in the transplanted lungs. Conclusions The allogeneic lung transplantation model in miniature pigs may systematically evaluate immunological compatibility, intraoperative function and postoperative organ damage. The data obtained may provide technical references for subsequent lung transplantation research.

Abstract The prevention and control of myopia in Chinese children and adolescents has become a major public health issue. While maintaining increased outdoor activity as a cornerstone intervention, there is an urgent need to explore new complementary approaches that can be effectively implemented in both indoor and outdoor settings. In recent years, environmental spatial frequency has gained increasing attention as one of the key environmental factors influencing the development and progression of myopia. Both animal studies and human research have confirmed that indoor environments lacking mid to high spatial frequency components, often characterized as "visually impoverished", can promote axial elongation and myopia through mechanisms such as disruption of retinal neural signaling, impaired accommodative function, and altered expression of related molecules. Based on the scientific consensus, it is recommended that "enriching of environmental spatial frequency" should be integrated into the myopia prevention and control framework. Following the principles of schoolled organization, family cooperation, community involvement, and student participation, specific measures are put forward in three areas：optimizing school visual settings, improving home spatial environments, and promoting healthy visual behavior. The aim is to create "visually friendly" indoor environments as an important supplement to outdoor activity, thereby providing a novel perspective and strategy for comprehensively advancing myopia prevention and control among children and adolescents.

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 investigate the distribution characteristics of Oncomelania hupensis snails in Yunnan Province fol-lowing interruption of schistosomiasis transmission, so as to provide the evidence for assessing the risk of schistosomiasis transmission and scientifically formulating the schistosomiasis surveillance program. Methods According to the requirements of the National Schistosomiasis Surveillance Scheme (2020 Edition), O. hupensis snail surveillance data were collected from 18 schistosomiasis-endemic counties (cities, districts) in Yunnan Province from 2020 to 2024, including area of snail survey, area of snail habitats, area of re-emerging snail habitats, number of frames surveyed, number of frames with O. hupensis snails, number of O. hupensis snails captured, and number of living snails, and the occurrence of frames with snails and mean density of living snails were calculated. Changes in snail status over the 5-year period from 2020 to 2024 and the differences in snail distributions specified by epidemic intensity, environmental type, and vegetation type were analyzed. Results The areas of snail survey increased from 1 727.96 hm² in 2020 to 3 894.45 hm² in 2024 (peak) across 18 schistosomiasis-endemic counties (cities, districts) in Yunnan Province during the period from 2020 through 2024. The areas of snail habitats increased from 70.36 hm² in 2020 to a peak in 2023 (172.04 hm²), followed by a reduction to 132.36 hm² in 2024, and the areas of re-emerging snail habitats increased from 42.71 hm² in 2020 to a peak in 2022 (78.43 hm²), followed by a reduction to 40.21 hm² in 2024. The occurrence of frames with snails and mean density of living snails increased from 1.24% (3 025/244 404) and (0.033 2 ± 0.038 7) snails/0.1 m² in 2020 to peaks at 2.03% (6 231/307 563) and (0.066 9 ± 0.068 4) snails/0.1 m² in 2023, followed by reductions to 1.04% (5 829/559 941) and (0.032 6 ± 0.057 7) snails/0.1 m² in 2024, respectively. There was a significant difference in the occurrence of frames with snails over the 5-year study period (χ² = 1 962.95, P < 0.05), and the occurrence of frames with snails reduced by 48.71% in 2024 relative to in 2023 (χ² = 1 411.05, P < 0.005); however, there was no significant difference in the mean density of living snails over the 5 years (H = 5.310, P > 0.05). There were significant differences in the occurrence of frames with snails (χ² = 481.27, P < 0.05) and mean density of living snails (H = 6.872, P < 0.05) in schistosomiasis-endemic areas with different epidemic intensities. The occurrence of frames with snails (χ² = 25.32 and 38.70, both P values < 0.017) and mean density of living snails (Z = 28.55 and 49.96, both P values < 0.017) were higher in schistosomiasis transmission-interrupted and eliminated areas with snails than in schistosomiasis-eliminated areas without snails, and the occurrence of frames with snails (χ² = 453.54, P < 0.017) and mean density of living snails (Z = −56.97, P < 0.017) were higher in schistosomiasis-eliminated areas with snails than in schistosomiasis transmission-interrupted areas with snails. O. hupensis snails were mainly distributed in paddy fields, dry farmlands and ditches; however, the occurrence of frames with snails (13.40%, 424/3 164) and mean density of living snails [(0.252 8 ± 0.158 7) snails/0.1 m²] were higher in ponds/weirs than in other types of environments (both P values < 0.05). Rice, dry farmland crops and weeds were main vegetations in which O. hupensis snails were distributed, and the occurrence of frames with snails (2.29%, 7 111/310 140) and mean density of living snails [(0.072 3 ± 0.018 9) snails/0.1 m²] were higher in weeds than in other types of environments (both P values < 0.05). Conclusions O. hupensis snails have been effectively controlled in Yunnan Province following implementation of integrated schistosomiasis control measures; however, there are still risk factors for schistosomiasis transmission, including reduced attention to schistosomiasis control and snail re-emergence. Improved control efforts and surveillance system construction and timely identification of risk factors of snail status and timely management are recommended to ensure the achievement of the target of schistosomiasis elimination as scheduled.

Objective To investigate the pharmacokinetics of flumazenil sublingual spray in Beagle dogs. Methods Twelve Beagle dogs were grouped in a two-period, two-sequence crossover study design, receiving intravenous injection or sublingual spray administration. Blood samples （2 ml） were collected from the leg vein at 0.16, 0.33, 0.5, 0.75, 1.0, 1.25, 1.5, 1.75, 2.0, 2.5, 3.0, 4.0, 6.0 and 8.0 h post-dosing. The plasma concentration of flumazenil was quantified by liquid chromatography-tandem mass spectrometry （LC-MS/MS） with an internal standard method, and key pharmacokinetic parameters were calculated. Results The t_max values for flumazenil injection and sublingual spray were 0.17 h and （0.28±0.10） h, respectively; c_max values were （8.14±0.81） and （10.41±1.72） ng/ml; and AUC_0–∞ values were （6.90±0.99） and （10.97±1.68）（ng·h）/ml. The bioavailability of the sublingual spray was （80.79±0.14）%. Conclusion Flumazenil sublingual spray demonstrated rapid absorption and high bioavailability in Beagle dogs.

Based on cancer collateral theory， this paper proposes toxin-stasis accumulation in collaterals and yin deficiency with toxin hyperactivity as the core pathogenesis of postoperative recurrence of triple-negative breast cancer. Impaired qi transformation in collateral and depletion of yin interact， contributing to toxin-stasis binding， inadequate collateral nourishment， and unrestrained yang activity. The temporal dimension emphasizes yin deficiency with toxin hyperactivity and early reactivation of latent toxin； the spatial dimension emphasizes toxin-stasis accumulation and dissemination through collaterals. Treatment follows the principle of regulating qi and resolving collaterals. Before recurrence， emphasis is placed on nourishing collaterals to restrain latent toxin； after recurrence， on resolving binding while protecting collaterals. Herbal combinations are further tailored to disorders of qi， blood， and fluid collaterals and to the sites of dissemination， integrating treatment according to recurrence status and affected collateral systems. These theoretical propositions are intended to inform clinical reasoning and require clinical validation.

Objective To investigate the current status of sleep quality,depression,anxiety and stress of special service convalescents and their correlation.Methods A questionnaire survey was conducted on 311 special service convalescents by the Pittsburgh sleep quality index(PSQI)and the depression-anxiety-stress self-rating scale-21(DASS-21)from May to July 2022.Results The mean total PSQI score of 311 special service convalescents was 4.93±3.14,and 63 of them(20.26%)had sleep quality problems(total score of PSQI>7).The proportions of respondents with the scores≥2 in sleep time,daytime dysfunction,subjective sleep quality,and fall-asleep time were 30.87%,26.05%,21.22%,and 20.26%,respectively.The proportions of respondents with mild depression,anxiety and stress were 6.11%,4.50%and 2.57%,respectively,which were higher than the other three grades(moderate,severe and very serious).The incidence of sleep quality problems,depression,anxiety,and stress in respondents aged 40 years and above was higher than those in the other age groups,and there was a tendency to increase with age.The total score of PSQI and all factors(except hypnotic drugs)were positively correlated with depression,anxiety,and stress in special service convalescents(all P<0.01).Regression analysis showed that depression and stress were the direct influencing factors of sleep quality.Conclusion The special service convalescents have varying degrees of sleep quality problems and negative emotions such as depression,anxiety,and stress,especially those aged 40 years and above.Sleep quality is closely related to depression,anxiety,and stress.

Objective To explore the application of iRoot SP single-tip filling technique in the treatment of dental pulp disease and its influence on serum inflammatory factors.Methods A total of 86 patients with dental pulp disease who were admitted to Dazu District People's Hospital from July 2022 to December 2022 were selected and assigned to observation group or control group according to a random number table,with 43 cases in each group.The observation group underwent root canal filling by iRoot SP single-tip method,and the control group was given root canal filling by iRoot SP cold lateral condensation.The filling effect,serum levels of interleukin(IL)-1β,IL-4,and tumor necrosis factor-α(TNF-α)before and after treatment,and short-term efficacy were compared between the two groups.Results The exact filling rate in the observation group was higher than that in the control group(93.02%vs.76.76%,P<0.05).The time of root canal filling in the observation group was shorter than that in the control group(P<0.05),but there was no significant difference in the proportion of filling area between the two groups(P>0.05).After treatment,serum IL-4 level was increased,while IL-1β and TNF-α were decreased in both groups(P<0.05);observation group had higher IL-4 level and lower IL-1β and TNF-α levels than control group(P<0.05).After 3 months of treatment,no significant difference was found in the total effective rate between the two groups(P>0.05).Conclusion iRoot SP single-tip filling technique can shorten the filling time,increase the exact filling rate,and reduce the inflammation levels in the treatment of dental pulp disease.In clinical practice,the appropriate technique should be selected according to patient's condition.

Objective To investigate the effects of simulated-microgravity on the osteogenic differentiation,primary cilia status,cytoskeleton structure,and the YAP(Yes-associated protein)expression in primary osteoblasts.Methods Primary osteoblasts were isolated from the skull bones of neonatal Wistar rats and cultured in random positioning machine system to simulate the cellular effects of microgravity.The calcified nodules were stained with Arlizarin to assess the cellular mineralization ability,the primary cilia and cytoskeleton were detected by immunofluorescence staining of Arl13b/γ-Tubulin and α-Tubulin,respectively,and the expression of YAP was measured by western blot.Results The cellular osteogenic differentiation were markedly suppressed after treated with simulated microgravity for 24 h,and the ciliated cells decreased from(58.44±3.65)%to(15.76±1.84)%in parallel with a decline of average cilium length from(3.19±0.51)μm to(1.59±0.46)μm.In addition,simulated microgravity induced disassembly of microtubules.Notably,simulated microgravity interfered YAP expression and the inhibition of YAP into nucleus.Furthermore,knockdown of YAP expression in osteoblasts notably reduced primary cilia expression and inhibited osteogenic differentiation.Conclusion Primary cilia is a key organelle of osteoblasts in sensing microgravity and regulating osteogenic differentiation.Interference with YAP expression and inhibition of nuclear YAP entry may play an important role in the deaggregation of primary cilia induced by microgravity.