Objective:To investigate the effects of repetitive transcranial magnetic stimulation(rTMS) on learning memory and abnormal Aβ deposition in cerebral amyloid angiopathy(CAA) model mice, and further to investigate whether the mechanism involves the transport function of glymphatic system.Methods:Eight-month-old SPF grade Tg-SWDI mice were randomly divided into the CAA group and the rTMS group according to the random number table method with 7 in each group.Seven wild-type mice of the same genetic background and age served as the control group. The mice in rTMS group received two weeks of high-frequency rTMS intervention, and the mice in CAA group and control group were only restrained without rTMS intervention.Learning and memory functions were evaluated using the Morris water maze test.Amyloid-beta deposition, glymphatic system clearance, and aquaporin-4(AQP4) polarization were assessed using immunofluorescence, and AQP4 expression levels were measured by Western blot.Statistical analysis of the data was conducted using SPSS 25.0 and GraphPad Prism 9.5 softwares.Repeated-measures ANOVA was used for data on escape latency, and one-way ANOVA was used for comparisons between multiple groups for other data.Results:(1)In the novel object recognition test, there were statistically significant differences in recognition indices among the three groups of mice ( F=22.59, P<0.05). Compared with the control group, the mice in the CAA group showed a significant decrease in the new object recognition index ( P<0.05).Compared with the CAA group, the mice in the rTMS group showed a significant increase in the new object recognition index ( P<0.05).(2)In the Y-maze, there were statistical differences in the spontaneous alternation rates among the three groups ( F=5.00, P<0.05). Compared with the control group, the spontaneous alternation rate in the CAA group was significantly lower ( P<0.05).And compared with the CAA group, the spontaneous alternation rate in the rTMS group was significantly higher ( P<0.05).(3)In the Morris water maze test, there were significant interactions in escape latency among the three groups ( F=4.05, P=0.02), significant main effects of time ( F=713.22, P<0.01), and significant main effects of group ( F=421.55, P<0.01). There was no significant statistical difference in swimming speed among the three groups ( F=0.19, P>0.05), while the difference of the number of entries into the inner zone and the proportion of time spent were statistically significant( F=71.67, 294.14, both P<0.05).Compared with the control group, the CAA group mice significantly decreased in the number of entries into the inner zone and the proportion of time spent in the middle zone (both P<0.01).(4)Compared with the CAA group, the rTMS group significantly increased in the number of entries into the inner zone and the proportion of time spent in the middle zone (both P<0.01).The result of immunofluorescence test showed that there was a statistically significant difference in the levels of Aβ in the cerebral vessels among the three groups( F=385.76, P<0.01).The levels of Aβ in the cerebral vessels of the CAA group (62.00±2.65) were significantly higher than those in the control group (9.00±1.00, P<0.01).The levels in the rTMS group (51.33±3.21) were significantly lower than those in the CAA group (62.00±2.65, P<0.01). Using the residual fluorescence tracer levels of the control group as a baseline, there were statistically significant differences in the tracer intensities in the corpus callosum and cerebral cortex( F=258.97, 46.44, both P<0.05), the tracer intensities in the corpus callosum (3.57±0.21) and cerebral cortex (4.96±0.79) of the CAA group mice were significantly higher than those in the rTMS group (1.45±0.14, 1.78±0.47, P<0.01). The polarization of AQP4 in the cerebral cortex of rTMS group (0.51±0.07) was significantly higher than that in the CAA group (0.30±0.02, P<0.01). Conclusion:rTMS can alleviate learning memory and abnormal Aβ deposition in CAA model mice by modulating AQP4 polarisation and promoting transport function of glymphatic system.

Primary hyperaldosteronism(PHA),the most common cause of secondary hypertension,can lead to cardiovascular and renal damage events.Early diagnosis and accurate typing of PHA is crucial to the choice of treatment options,and its diagnostic modalities usually include prone test screening,captopril test characterization and adrenal vein blood sampling for localization and typing diagnosis.However,with the development of imaging,molecular biology and morphology technologies,the use of nuclear medicine PET-CT,genetic testing and pathological diagnostic methods can also be used to accurately typify PHA.New technologies such as adrenal artery embolization and adrenal radiofrequency ablation are also increasingly being used in the treatment of PHA,which have the advantages of shorter and less costly surgery,fewer postoperative complications,and quicker recovery.This article provides a review of the developments in the screening,diagnosis and treatment of PHA with a view to informing clinical practice.

Primary hyperaldosteronism(PHA),the most common cause of secondary hypertension,can lead to cardiovascular and renal damage events.Early diagnosis and accurate typing of PHA is crucial to the choice of treatment options,and its diagnostic modalities usually include prone test screening,captopril test characterization and adrenal vein blood sampling for localization and typing diagnosis.However,with the development of imaging,molecular biology and morphology technologies,the use of nuclear medicine PET-CT,genetic testing and pathological diagnostic methods can also be used to accurately typify PHA.New technologies such as adrenal artery embolization and adrenal radiofrequency ablation are also increasingly being used in the treatment of PHA,which have the advantages of shorter and less costly surgery,fewer postoperative complications,and quicker recovery.This article provides a review of the developments in the screening,diagnosis and treatment of PHA with a view to informing clinical practice.

Objective To observe the differences in gut microbiota in chronic unpredictable mild stress(CUMS)-induced depression model rats of both sexes,and to provide experimental evidence for exploring sex differences in depression onset.Methods Thirty-two healthy SD rats were divided randomly into four groups based on sex:Male control group(Control-M),Female control group(Control-F),Male model group(Model-M),and Female model group(Model-F)(n=8 rats per group).Rats in the control groups were fed without stimulation,while rats in the model groups were stimulated using the 28 d CUMS-induced depression method.After successful modeling,fresh feces were collected from all rats for high-throughput 16S rRNA sequencing.Behavioral observations were also conducted before and after preparing the model.Results The result of sucrose-preference,open-field,and forced-swimming tests differed significantly between the control and model groups.The result of the sucrose-preference test also differed between the sexes,while there was no difference in the open-field or forced-swimming test between the sexes.The α and β diversity of the gut microbiota genera showed an upward trend in the CUMS group compared with the control group.The ratio of Firmicutes/Bacteroidetes and the richness of the Roseburia and Lachnospiraceae_NK4A136_group were decreased in male rats but showed an increasing trend in female rats.Conclusions The ratio of Firmicutes/Bacteroidetes in the gut microbiota may be a key factor affecting the difference in the onset of depression between males and females,while the Roseburia and Lachnospiraceae_NK4A136_group be potential factors in correcting the gut microbiota and improving the symptoms of depression.

Objective:To investigate the effects of repetitive transcranial magnetic stimulation(rTMS) on learning memory and abnormal Aβ deposition in cerebral amyloid angiopathy(CAA) model mice, and further to investigate whether the mechanism involves the transport function of glymphatic system.Methods:Eight-month-old SPF grade Tg-SWDI mice were randomly divided into the CAA group and the rTMS group according to the random number table method with 7 in each group.Seven wild-type mice of the same genetic background and age served as the control group. The mice in rTMS group received two weeks of high-frequency rTMS intervention, and the mice in CAA group and control group were only restrained without rTMS intervention.Learning and memory functions were evaluated using the Morris water maze test.Amyloid-beta deposition, glymphatic system clearance, and aquaporin-4(AQP4) polarization were assessed using immunofluorescence, and AQP4 expression levels were measured by Western blot.Statistical analysis of the data was conducted using SPSS 25.0 and GraphPad Prism 9.5 softwares.Repeated-measures ANOVA was used for data on escape latency, and one-way ANOVA was used for comparisons between multiple groups for other data.Results:(1)In the novel object recognition test, there were statistically significant differences in recognition indices among the three groups of mice ( F=22.59, P<0.05). Compared with the control group, the mice in the CAA group showed a significant decrease in the new object recognition index ( P<0.05).Compared with the CAA group, the mice in the rTMS group showed a significant increase in the new object recognition index ( P<0.05).(2)In the Y-maze, there were statistical differences in the spontaneous alternation rates among the three groups ( F=5.00, P<0.05). Compared with the control group, the spontaneous alternation rate in the CAA group was significantly lower ( P<0.05).And compared with the CAA group, the spontaneous alternation rate in the rTMS group was significantly higher ( P<0.05).(3)In the Morris water maze test, there were significant interactions in escape latency among the three groups ( F=4.05, P=0.02), significant main effects of time ( F=713.22, P<0.01), and significant main effects of group ( F=421.55, P<0.01). There was no significant statistical difference in swimming speed among the three groups ( F=0.19, P>0.05), while the difference of the number of entries into the inner zone and the proportion of time spent were statistically significant( F=71.67, 294.14, both P<0.05).Compared with the control group, the CAA group mice significantly decreased in the number of entries into the inner zone and the proportion of time spent in the middle zone (both P<0.01).(4)Compared with the CAA group, the rTMS group significantly increased in the number of entries into the inner zone and the proportion of time spent in the middle zone (both P<0.01).The result of immunofluorescence test showed that there was a statistically significant difference in the levels of Aβ in the cerebral vessels among the three groups( F=385.76, P<0.01).The levels of Aβ in the cerebral vessels of the CAA group (62.00±2.65) were significantly higher than those in the control group (9.00±1.00, P<0.01).The levels in the rTMS group (51.33±3.21) were significantly lower than those in the CAA group (62.00±2.65, P<0.01). Using the residual fluorescence tracer levels of the control group as a baseline, there were statistically significant differences in the tracer intensities in the corpus callosum and cerebral cortex( F=258.97, 46.44, both P<0.05), the tracer intensities in the corpus callosum (3.57±0.21) and cerebral cortex (4.96±0.79) of the CAA group mice were significantly higher than those in the rTMS group (1.45±0.14, 1.78±0.47, P<0.01). The polarization of AQP4 in the cerebral cortex of rTMS group (0.51±0.07) was significantly higher than that in the CAA group (0.30±0.02, P<0.01). Conclusion:rTMS can alleviate learning memory and abnormal Aβ deposition in CAA model mice by modulating AQP4 polarisation and promoting transport function of glymphatic system.

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Objective To observe the differences in gut microbiota in chronic unpredictable mild stress(CUMS)-induced depression model rats of both sexes,and to provide experimental evidence for exploring sex differences in depression onset.Methods Thirty-two healthy SD rats were divided randomly into four groups based on sex:Male control group(Control-M),Female control group(Control-F),Male model group(Model-M),and Female model group(Model-F)(n=8 rats per group).Rats in the control groups were fed without stimulation,while rats in the model groups were stimulated using the 28 d CUMS-induced depression method.After successful modeling,fresh feces were collected from all rats for high-throughput 16S rRNA sequencing.Behavioral observations were also conducted before and after preparing the model.Results The result of sucrose-preference,open-field,and forced-swimming tests differed significantly between the control and model groups.The result of the sucrose-preference test also differed between the sexes,while there was no difference in the open-field or forced-swimming test between the sexes.The α and β diversity of the gut microbiota genera showed an upward trend in the CUMS group compared with the control group.The ratio of Firmicutes/Bacteroidetes and the richness of the Roseburia and Lachnospiraceae_NK4A136_group were decreased in male rats but showed an increasing trend in female rats.Conclusions The ratio of Firmicutes/Bacteroidetes in the gut microbiota may be a key factor affecting the difference in the onset of depression between males and females,while the Roseburia and Lachnospiraceae_NK4A136_group be potential factors in correcting the gut microbiota and improving the symptoms of depression.

Artificial intelligence (AI) has important significance and great promise in the pathological diagnosis,imaging diagnosis,prognosis prediction,and molecular subtyping of prostate cancer (PCa). This review focuses on the progress of AI for the diagnosis and molecular classification of PCa,and briefly introduces the application of AI in the pathological diagnosis of needle biopsy and Gleason grading,pathological diagnosis and grading after prostatectomy,and prognosis prediction of PCa patients based on pathological sections. For the pathological diagnosis of needle biopsy and Gleason grading,AI has already comparable to general pathologists;for the pathological diagnosis and grading after prostatectomy,AI can accurately grade and classify tumors;and for the prognosis prediction of PCa patients,AI can directly extract relevant prognostic information from pathological tissue sections for prognosis prediction. In addition,AI can also predict gene mutations in PCa patients and suggest the probability of gene mutation by analyzing the pathological sections.

The rapid development of digital intelligence technologies is providing a powerful boost to the high-quality development of the healthcare system.Considering the current state of our healthcare services and guided by General Secretary Xi Jinping's insights on new quality productive forces and the directives from Third Plenary Session of Communist Party of China's 20th Central Committee,the high-quality development of the healthcare service system should focus on digital intelligence technologies such as cloud computing,big data,privacy computing,blockchain,Internet of Things(IoT),mobile computing,and AI.The key measures should include the optimization of production factors,services,and governance.Emphasis should be placed on enhancing the efficient and intensive development of the development model,ensuring the high-quality and continuous integration of the supply model,and transitioning to scientific and modern management methods.Herein,we analyzed the"factor optimization—service optimization—governance optimization"development mechanism driven by digital intelligence and proposed corresponding implementation pathways,intending to provide references for establishing a high-quality and efficient healthcare service system with Chinese characteristics.

Activating transcription factor 3 (ATF3) belongs to the transcription factor ATF/CREB family and is a stress-induced adaptive response gene. ATF3 is involved in the regulation of various cell activities to adapt to the changes in intracellular and extracellular environments. Recent studies have shown that ATF3 plays an important role in the development and progression of various chronic liver diseases, including nonalcoholic fatty liver disease, liver fibrosis, and liver cancer, by regulating gluconeogenesis, lipid metabolism, and immune function. This article reviews the mechanism of action of ATF3 in chronic liver diseases.