Tumor budding is a distinct pathomorphological feature observed in various types of solid tumor. In recent years， tumor budding has been recognized as an important biological feature associated with tumor invasion and metastasis， and it has become a new focus in the research on tumor progression. Although studies have explored the role of tumor budding in different types of tumor， there are studies in the field of hepatocellular carcinoma （HCC）. This article systematically reviews the research advances in tumor budding in HCC， with a focus on the mechanism of tumor budding， the association between tumor budding and tumor progression， and the potential application of tumor budding in prognostic assessment， in order to provide new insights and strategies for the early diagnosis and treatment of HCC.

Studies have shown that cannabinoid receptor (CBR) influence the onset and progression of Alzheimer's disease (AD) by participating in several key pathological processes, including β-amyloid protein (Aβ) metabolism, tau protein phosphorylation, neuroinflammation, oxidative stress, autophagy, and synaptic plasticity, which suggests that CBR may represent a potential novel therapeutic target for AD. This article reviews the recent advance in the regulatory role of CBR in AD, aiming to provide theoretical basis for AD treatment.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective Domestic research institutions and researchers have established a wide variety of animal disease models and accumulated a wealth of specialized, distinctive, and targeted atlas data during the model development process. These atlas data are of great value for development and application. Therefore, it is necessary to develop a professional and complete digital atlas database platform for animal models, which can achieve the open sharing of animal model atlas data and the integration and optimization of atlas resources related to disease animal models held by relevant domestic institutions. Methods Based on the B/S architecture, the authors' institution built a digital atlas database of animal models, using Java as the main development language and Oracle database system along with related auxiliary tools. The database platform ran in a Linux environment and could be accessed by users through a web browser. At present, the data on this platform mainly came from the atlas resources submitted by animal model resource units within Guangdong Province. Results In August 2024, a digital atlas database platform for animal models was constructed based on the classification structure of three dimensions: systemic diseases, animal species, and resource units. This platform provided functions such as collection, management, retrieval, and viewing of atlas data. As of January 2025, four resource units had submitted 61 atlas data entries of animal models to the platform, totalling 610 data items. Conclusion The animal model digital atlas database platform has been constructed and put into preliminary use. Although the amount of data on the platform is still limited, it is capable of integrating and openly sharing animal model atlas data. It is believed that with the continuous enrichment of atlas data in the future, this platform is expected to provide important data support for the development of laboratory animal science and comparative medicine research, thereby promoting the efficient utilization of scientific research resources.

Objective Domestic research institutions and researchers have established a wide variety of animal disease models and accumulated a wealth of specialized, distinctive, and targeted atlas data during the model development process. These atlas data are of great value for development and application. Therefore, it is necessary to develop a professional and complete digital atlas database platform for animal models, which can achieve the open sharing of animal model atlas data and the integration and optimization of atlas resources related to disease animal models held by relevant domestic institutions. Methods Based on the B/S architecture, the authors' institution built a digital atlas database of animal models, using Java as the main development language and Oracle database system along with related auxiliary tools. The database platform ran in a Linux environment and could be accessed by users through a web browser. At present, the data on this platform mainly came from the atlas resources submitted by animal model resource units within Guangdong Province. Results In August 2024, a digital atlas database platform for animal models was constructed based on the classification structure of three dimensions: systemic diseases, animal species, and resource units. This platform provided functions such as collection, management, retrieval, and viewing of atlas data. As of January 2025, four resource units had submitted 61 atlas data entries of animal models to the platform, totalling 610 data items. Conclusion The animal model digital atlas database platform has been constructed and put into preliminary use. Although the amount of data on the platform is still limited, it is capable of integrating and openly sharing animal model atlas data. It is believed that with the continuous enrichment of atlas data in the future, this platform is expected to provide important data support for the development of laboratory animal science and comparative medicine research, thereby promoting the efficient utilization of scientific research resources.

Tumor budding is a distinct pathomorphological feature observed in various types of solid tumor.In recent years,tumor budding has been recognized as an important biological feature associated with tumor invasion and metastasis,and it has become a new focus in the research on tumor progression.Although studies have explored the role of tumor budding in different types of tumor,there are studies in the field of hepatocellular carcinoma(HCC).This article systematically reviews the research advances in tumor budding in HCC,with a focus on the mechanism of tumor budding,the association between tumor budding and tumor progression,and the potential application of tumor budding in prognostic assessment,in order to provide new insights and strategies for the early diagnosis and treatment of HCC.

Alzheimer's disease (AD) is characterized by cognitive and functional deterioration, with pathological features such as amyloid-beta (Aβ) aggregates in the extracellular spaces of parenchymal neurons and intracellular neurofibrillary tangles formed by the hyperphosphorylation of tau protein. Despite a thorough investigation, current treatments targeting the reduction of Aβ production, promotion of its clearance, and inhibition of tau protein phosphorylation and aggregation have not met clinical expectations, posing a substantial obstacle in the development of drugs for AD. Recently, artificial intelligence (AI), computational biology (CB), and systems biology (SB) have emerged as promising methodologies in AD research. Their capacity to analyze extensive and varied datasets facilitates the identification of intricate patterns, thereby enriching our comprehension of AD pathology. This paper provides a comprehensive examination of the utilization of AI, CB, and SB in the diagnosis of AD, including the use of imaging omics for early detection, drug discovery methods such as lecanemab, and complementary therapies like phototherapy. This review offers novel perspectives and potential avenues for further research in the realm of translational AD studies.

Magnetic stimulation has made significant strides in the treatment of psychiatric disorders. Nonetheless, current magnetic stimulation techniques lack the precision to accurately modulate specific nuclei and cannot realize deep brain magnetic stimulation. To address this, we utilized superparamagnetic iron oxide nanoparticles as mediators to achieve precise targeting and penetration. We investigated the effects of magnetic fields with varying frequencies on neuronal activity and compared the activation effects on neurons using a 10-Hz precise magneto-stimulation system (pMSS) with repetitive transcranial magnetic stimulation in mice. Oxytocin levels, dendritic morphology and density, and mouse behavior were measured before and after pMSS intervention. Our findings suggest that pMSS can activate oxytocinergic neurons, leading to upregulation of oxytocin secretion and neurite outgrowth. As a result, sociability was rapidly improved after a one-week pMSS treatment regimen. These results demonstrate a promising magneto-stimulation method for regulating neuronal activity in deep brain nuclei and provide a promising therapeutic approach for autism spectrum disorder.
Animals ; Autism Spectrum Disorder/physiopathology* ; Paraventricular Hypothalamic Nucleus/physiology* ; Disease Models, Animal ; Transcranial Magnetic Stimulation/methods* ; Male ; Social Behavior ; Mice ; Oxytocin/metabolism* ; Mice, Inbred C57BL ; Neurons/physiology*

Objective To observe the ultrasonic manifestations of abdominal pregnancy.Methods Ultrasonic and clinical data of 18 pregnant woman with abdominal pregnancy diagnosed by operation and pathology were retrospectively analyzed.Results Among 15 cases in first trimester,no preoperative ultrasonic diagnosis of abdominal pregnancy was obtained.Ultrasound showed no gestational sac in uterine cavity but mass in pelvic cavity,which located in the adnexal region in 8 cases,in the front and the post of uterus each in 2 cases,while in the adnexal region and the front of uterus in 1 case,in the post of the cervix in 1 case,and closed to uterine wall in 1 case,without obvious tubal echo around mass in all 15 cases.There were 2 cases of abdominal pregnancy in the second trimester,which were first diagnosed with ultrasound at 13+6 weeks and 21 weeks,with gestational sac located on the left side of uterus and behind the uterus,respectively.One case of abdominal pregnancy in the third trimester was first diagnosed with ultrasound at 35 4 weeks,with gestational sac located on the right side of uterus.Ultrasonic manifestations of the above three cases all showed gestational sac located outside the uterus without myometrium wrapping around the gestational sac nor placenta implanted in uterus,while echoes of fluid accumulation were detected around fetus.The ultrasonic diagnosis rate of abdominal pregnancy was 16.67％(3/18).Conclusion In the first trimester,if the ectopic pregnancy mass was large or the gestational sac located adjacent to the cervix,anterior or posterior to uterus and on the uterine wall,also no fallopian tube-like echo around the mass,the possibility of abdominal pregnancy should be considered.Ultrasonic manifestations of abdominal pregnancy in the second and third trimester present as gestational sac outside uterine cavity without wrapping uterine muscle layer around,no placenta implantation in uterine cavity,as well as echoes of fluid accumulation around fetus.Transabdominal combined with transvaginal ultrasound could improve diagnostic rate of abdominal pregnancy.