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.

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.

MicroRNA(miRNA)serves as a novel regulatory factor in viral and bacterial co-infections,exhibiting dual regulatory roles during pathogen infections.On the one hand,it exerts protective effects by modulating viral replication cycles and host anti-infection immune responses.On the other hand,it can be exploited by pathogens to promote infection progression,including influencing viral replication,antiviral immune responses,and regulating bacterial adhesion and proliferation.Mixed viral and bacterial infections lead to high mortality rates.By binding to specific target gene mRNA,miRNA degrades or inhibits its translation,thereby regulating target gene expres-sion,which may ultimately serve as potential diagnostic and therapeutic targets.This paper reviews recent ad-vances in research on the role of miRNA in viral and bacterial infections,particularly its mechanisms in co-infec-tions,aiming to provide theoretical reference for further research on the infection mechanisms.

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.

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.

Objective:To explore the advantages of individualized 3D-printed vaginal cylinder template-guided interstitial brachytherapy (3D-p-VC-ISBT) in locally advanced cervical cancer, aiming to provide reference for clinical adaptive brachytherapy.Methods:Clinical data of 20 patients with locally advanced cervical cancer admitted to Renji Hospital affiliated to Shanghai Jiao Tong University School of Medicine from September, 2021 to August, 2023 were retrospectively analyzed. The median age was 54 years old (32-69 years). Among them, 3 patients were diagnosed with adenocarcinoma and 17 cases of squamous cell carcinoma. According to the treatment method, all patients were divided into intracavitary brachytherapy group (ICBT-plan group, n=10) and 3D-p-VC-ISBT group (3D-p-VC-ISBT treatment-plan group, n=10). A pretreatment plan was designed for each patient undergoing 3D-p-VC-ISBT. The pretreatment plans were formed as the pretreatment-plan group. Dose volume histogram was used to evaluate dose distribution of the targets and organs at risk (OAR). Comparison between two groups was analyzed by Mann-Whitney test and comparison among three treatment plans (ICBT, 3D-p-VC-ISBT treatment-plan and 3D-p-VC-ISBT pretreatment-plan) was analyzed by Kruskal-Wallis test. Results:The mean D 90rel (representing the dose received by 90% volume of the target area divided by the prescription dose) of high-risk clinical target volume (HR-CTV) in 3D-p-VC-ISBT, pretreatment-plan and ICBT-plan groups were 100.47%, 104.66% and 85.91%, respectively. The conformity indexes were 0.66, 0.72 and 0.68, respectively. There was no significant difference in D 0.01 cm3, D 2 cm3 and D 5 cm3 of bladder, rectum and sigmoid colon among the three groups (all P>0.05). For the 3D-p-VC-ISBT treatment-plan group, the D 2 cm3 values of the small intestine at 6 Gy and 7 Gy prescription doses were 169.51 cGy and 111.93 cGy respectively, which were superior to those of the ICBT-plan group (343.07 cGy at 6 Gy prescription, P<0.01). Conclusions:Individualized 3D-p-VC-ISBT is superior to ICBT in terms of dose distribution of HR-CTV, and it can adaptively adjust the insertion plan according to changes in tumor volume and position, making the operation safer and more efficient.

Objective:To explore the distribution and clearance of 99mTc labeled diethylenetriamine pentaacetic acid(99mTc-DTPA)in different brain regions of adult rats after administration through brain extracellular space(ECS)pathway.Methods:After the injection of a volume of 2 μL and radioactive activity of about 3.7 MBq(100 μCi)of 99mTc-DTPA into the caudate nucleus and thalamus of SD rats through stereotactic positioning of rat brain,the single photon emission computed tomography/computed tomography(SPECT/CT)for small animals was used for imaging at different time points,and the dyna-mic distribution and clearance of the tracer in the whole body were observed continuously.The SD rats were injected with 99mTc-DTPA into thalamus and caudate nucleus respectively for biological distribution in vivo.They were put to death 4 h later.Their blood and urine were collected.The brain,cerebellum,heart,liver,spleen,lung,and kidney were taken and weighed by γ counter to measure its radioactivity.Results:SPECT/CT imaging results showed that after 99mTc-DTPA was administered through brain ECS,the radioactivity was concentrated in the brain,kidney and bladder.The tracer administered to the left caudate nucleus was preferentially drained to the right cerebellum,while the tracer administered to the right caudate nucleus was preferentially drained to the left cerebellum.There was a phenomenon of"con-tralateral cerebellar dominant drainage"in the caudate nucleus.The thalamic area preferentially drained to the ipsilateral cerebellum after administration.Four hours after administration via ECS,high radioac-tive uptake appeared in urine,cerebellum and brain,followed by blood and kidney.The radioactive up-take values of heart,liver,spleen and lung were low,which were mainly excreted through urinary sys-tem.Conclusion:Intracerebral ECS administration is a promising method of administration,but there are significant differences in distribution and clearance in different brain regions.This study further ex-pands the content and significance of"ECS regions",and also provides an important theoretical founda-tion for the treatment of encephalopathy and the research of new drugs through brain ECS in the future.

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.