This paper aims to study the effect of Ziziphi Spinosae Semen extracts on chronic unpredictable mild stress(CUMS)-induced depression-like and insomnia behavior models of mice. The CUMS-induced depression-like and insomnia behavior model of mice was established by CUMS treatment for three weeks. The mice were randomly divided into control group, model group, positive drug diazepam group(2 mg·kg~(-1)), as well as low-dose group(1.95 g·kg~(-1)), medium-dose group(3.9 g·kg~(-1)), and high-dose group(7.8 g·kg~(-1)) of Ziziphi Spinosae Semen extracts, with 18 mice in each group. On the 15th day of modeling, the drug was administered intragastrically once a day for one week. Then, the pentobarbital sodium cooperative righting experiment, open field experiment, and elevated plus maze experiment were carried out, respectively. The contents of neurotransmitters 5-hydroxytryptamine(5-HT) and 5-hydroxyindoleacetic acid(5-HIAA) in serum and thalamus of mice, as well as the levels of corticotropin releasing hormone(CRH), adrenocorticotropic hormone(ACTH), and corticosterone(CORT) in serum, were determined by enzyme-linked immunosorbent assay(ELISA). The neuron damage in the hippocampus of mice was observed by hematoxylin-eosin(HE) staining and Nissl staining. Western blot was used to detect the expressions of tryptophan hydroxylase 2(TPH2), serotonin transporter(SERT), monoamine oxidase A(MAOA), five prime repressors under dual repression binding protein 1(Freud1), synaptic plasticity-related proteins [cellular gene FOS(C-FOS), postsynaptic density protein 95(PSD95), synapsin 1(SYN1), and activity-regulated cytoskeleton-associated gene(ARC)], blood-brain barrier(BBB) permeability-related proteins [zonula occludens 1(ZO-1), occludin, and claudin 1], inflammatory factors [NOD-, LRR-and pyrin domain-containing protein 3(NLRP3), apoptosis-associated speck-like protein(ASC), gasdermin D(GSDMD), caspase-3, and caspase-8], and antioxidant factors [nuclear factor erythroid 2-related factor 2(NRF2) and heme oxygenase 1(HO1)] in thalamic tissue of mice. The results indicated that compared with that in the model group, the sleep latency was significantly shortened, and the sleep duration was significantly prolonged in each dose group of Ziziphi Spinosae Semen extracts. The number of visits to the central area of the open field and the distance and time of visits were significantly increased in each dose group of Ziziphi Spinosae Semen extracts. In addition, the proportion of distance and time of entering the open arm area of the elevated plus maze was significantly increased in each dose group of Ziziphi Spinosae Semen extracts. The contents of 5-HT and 5-HIAA in serum and thalamus of mice increased to varying degrees in each dose group of Ziziphi Spinosae Semen extracts; the contents of CRH, ACTH, and CORT in serum of mice were significantly decreased. The protein expression of TPH2 was significantly increased. The protein expression of MAOA, SERT, and Freud1 was significantly decreased. Ziziphi Spinosae Semen extracts could also significantly reduce the protein expression of C-FOS but significantly increase the protein expression of PSD95, ARC, and SYN1. They could reduce the pathological damage of the hippocampus in mice and significantly increase the protein expression of ZO-1, occluding, and claudin 1. The protein expression of NLRP3, GSDMD, ASC, caspase-3, and caspase-8 in the thalamic tissue of mice was significantly decreased, and the protein expression of HO1 and NRF2 was significantly increased. In conclusion, Ziziphi Spinosae Semen extracts could effectively improve sleep disorders and depression-like behaviors in CUMS-induced model mice, which may be related to regulating the 5-HT anabolism process and hypothalamic-pituitary-adrenal(HPA) axis-related hormone levels, reducing pathological damage in the hippocampus, improving synaptic plasticity, repairing BBB integrity, and alleviating inflammatory response and oxidative stress damage.
Animals ; Ziziphus/chemistry* ; Mice ; Male ; Depression/psychology* ; Drugs, Chinese Herbal/administration & dosage* ; Sleep Initiation and Maintenance Disorders/psychology* ; Stress, Psychological/complications* ; Behavior, Animal/drug effects* ; Humans ; Disease Models, Animal

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To explore the association between cumulative blood pressure (BP) and the risk of cerebrovascular disease (CVD) in older adults.Methods:This retrospective cohort study consecutively selected 4 480 older adults who participated in the Chinese Longitudinal Healthy Longevity Survey from 2008 to 2009 as the study subjects. The cumulative BP was calculated using the area under the curve from measurements taken at baseline (2008-2009), the first follow-up (2011), and the second follow-up (2014). The subjects were grouped with the quartiles (Q1-Q4) of cumulative systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP). The Cox proportional hazards regression models were used to analyze the hazard ratios (HR) and 95% CI for the association between cumulative BP and the risk of CVD among older adults. The restricted cubic spline function was employed to examine the potential dose-response pattern between cumulative BP and the risk of CVD. Results:During a total of 40 230 person-years of follow-up, with a mean follow-up duration of (8.98±2.16) years, 768 new cases of CVD were identified. The older adults in the highest quartile (Q4) of cumulative SBP, DBP, and PP had a significantly higher risk of CVD compared to those in the lowest quartile (Q1), with a HR of 1.68 (95% CI: 1.36-2.06), 1.67 (95% CI: 1.36-2.06), and 1.52 (95% CI: 1.24-1.84), respectively (all P<0.001). For every 10 mmHg (1 mmHg=0.133 kPa)×year increase in cumulative SBP, DBP, and PP, the risk of CVD increased by 2% ( HR=1.02, 95% CI: 1.01-1.03), 3% ( HR=1.03, 95% CI: 1.01-1.05), and 2% ( HR=1.02, 95% CI: 1.01-1.03), respectively (all P<0.05). The restricted cubic spline model revealed a linear positive correlation between cumulative SBP, DBP, and PP with the risk of CVD among older adults (all P for nonlinearity>0.05). When cumulative SBP, DBP, and PP exceeded 791.9 mmHg×years, 462.9 mmHg×years, and 323.6 mmHg×years, corresponding to an average BP level of 132.0 mmHg, 77.2 mmHg, and 53.9 mmHg, respectively, the risk of CVD began to increase. Conclusions:Elevated long-term cumulative BP may increase the risk of CVD in older adults. Caution is warranted when SBP, DBP, and PP exceed 132.0 mmHg, 77.2 mmHg, and 53.9 mmHg, respectively.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To explore the association between cumulative blood pressure (BP) and the risk of cerebrovascular disease (CVD) in older adults.Methods:This retrospective cohort study consecutively selected 4 480 older adults who participated in the Chinese Longitudinal Healthy Longevity Survey from 2008 to 2009 as the study subjects. The cumulative BP was calculated using the area under the curve from measurements taken at baseline (2008-2009), the first follow-up (2011), and the second follow-up (2014). The subjects were grouped with the quartiles (Q1-Q4) of cumulative systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP). The Cox proportional hazards regression models were used to analyze the hazard ratios (HR) and 95% CI for the association between cumulative BP and the risk of CVD among older adults. The restricted cubic spline function was employed to examine the potential dose-response pattern between cumulative BP and the risk of CVD. Results:During a total of 40 230 person-years of follow-up, with a mean follow-up duration of (8.98±2.16) years, 768 new cases of CVD were identified. The older adults in the highest quartile (Q4) of cumulative SBP, DBP, and PP had a significantly higher risk of CVD compared to those in the lowest quartile (Q1), with a HR of 1.68 (95% CI: 1.36-2.06), 1.67 (95% CI: 1.36-2.06), and 1.52 (95% CI: 1.24-1.84), respectively (all P<0.001). For every 10 mmHg (1 mmHg=0.133 kPa)×year increase in cumulative SBP, DBP, and PP, the risk of CVD increased by 2% ( HR=1.02, 95% CI: 1.01-1.03), 3% ( HR=1.03, 95% CI: 1.01-1.05), and 2% ( HR=1.02, 95% CI: 1.01-1.03), respectively (all P<0.05). The restricted cubic spline model revealed a linear positive correlation between cumulative SBP, DBP, and PP with the risk of CVD among older adults (all P for nonlinearity>0.05). When cumulative SBP, DBP, and PP exceeded 791.9 mmHg×years, 462.9 mmHg×years, and 323.6 mmHg×years, corresponding to an average BP level of 132.0 mmHg, 77.2 mmHg, and 53.9 mmHg, respectively, the risk of CVD began to increase. Conclusions:Elevated long-term cumulative BP may increase the risk of CVD in older adults. Caution is warranted when SBP, DBP, and PP exceed 132.0 mmHg, 77.2 mmHg, and 53.9 mmHg, respectively.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective Postoperative delirium(POD)has become a critical challenge with severe consequences and increased incidences as the global population ages.However,the underlying mechanism is yet unknown.Our study aimed to explore the changes in metabolites in three specific brain regions and saliva of older mice with postoperative delirium behavior and to identify potential non-invasive biomarkers. Methods Eighteen-month-old male C57/BL6 mice were randomly assigned to the anesthesia/surgery or control group.Behavioral tests were conducted 24 h before surgery and 6,9,and 24 h after surgery.Complement C3(C3)and S100 calcium-binding protein B protein(S100beta)levels were measured in the hippocampus,and a metabolomics analysis was performed on saliva,hippocampus,cortex,and amygdala samples. Results In total,43,33,38,and 14 differential metabolites were detected in the saliva,hippocampus,cortex,and amygdala,respectively."Pyruvate""alpha-linolenic acid"and"2-oleoyl-1-palmitoy-sn-glycero-3-phosphocholine"are enriched in one common pathway and may be potential non-invasive biomarkers for POD.Common changes were observed in the three brain regions,with the upregulation of 1-methylhistidine and downregulation of D-glutamine. Conclusion Dysfunctions in energy metabolism,oxidative stress,and neurotransmitter dysregulation are implicated in the development of POD.The identification of changes in the level of salivary metabolite biomarkers could aid in the development of noninvasive diagnostic methods for POD.

Using China National Knowledge Infrastructure, Wanfang, and PubMed database, literature search was conducted with the keywords ^“pregnancy^” and ^“monkeypox^”, and 27 related research articles were selected for analysis. Through a comprehensive review of the related literature, we aim to improve our knowledge of this viral disease, better our prevention, treatment and responses to future monkeypox outbreaks in China, so as to better protect the safety of mothers and infants. Maternal monkeypox can be prevented and controlled, if active and effective measures are taken in time. Drawing on the experience and lessons from monkeypox outbreaks at home and abroad, it is suggested that hospitals and public health agencies at all levels should raise awareness, and establish an effective emergency preparedness system for the prevention and control of potential future outbreaks.