The Chinese Pharmacopoeia is the legal technical standard which should be followed during the research, production, use, and administration of drugs. At present, the new edition of the Chinese Pharmacopoeia is planned to be promulgated and implemented. This article summarizes and analyzes the main characteristics and the content of updates and amendments of the Chinese Pharmacopoeia 2025 Edition(Volume Ⅰ), to provide a reference for the correct understanding and accurate implementation the new edition of the pharmacopoeia.

[Objective] : To explore the clinical characteristics and methods for syndrome differentiation prediction, as well as to construct a predictive model for Qi deficiency and blood stasis syndrome in patients with acute ischemic stroke (AIS). [Methods] : This study employed a retrospective case-control design to analyze patients with AIS who received inpatient treatment at the Neurology Department of The First Hospital of Hunan University of Chinese Medicine from January 1, 2013 to December 31, 2022. AIS patients meeting the diagnostic criteria for Qi deficiency and blood stasis syndrome were stratified into case group, while those without Qi deficiency and blood stasis syndrome were stratified into control group. The demographic characteristics (age and gender), clinical parameters [time from onset to admission, National Institutes of Health Stroke Scale (NIHSS) score, and blood pressure], past medical history, traditional Chinese medicine (TCM) diagnostic characteristics (tongue and pulse), neurological symptoms and signs, imaging findings [magnetic resonance imaging-diffusion weighted imaging (MRI-DWI)], and biochemical indicators of the two groups were collected and compared. The indicators with statistical difference (P < 0.05) in univariate analysis were included in multivariate logistic regression analysis to evaluate their predictive value for the diagnosis of Qi deficiency and blood stasis syndrome, and the predictive model was constructed by receiver operating characteristic (ROC) curve analysis. [Results] : The study included 1 035 AIS patients, with 404 cases in case group and 631 cases in control group. Compared with control group, patients in case group were significantly older, had extended onset-to-admission time, lower diastolic blood pressure, and lower NIHSS scores (P < 0.05). Case group showed lower incidence of hypertension history (P < 0.05). Regarding tongue and pulse characteristics, pale and dark tongue colors, white tongue coating, fine pulse, astringent pulse, and sinking pulse were more common in case group. Imaging examinations demonstrated higher proportions of centrum semiovale infarction, cerebral atrophy, and vertebral artery stenosis in case group (P < 0.05). Among biochemical indicators, case group showed higher proportions of elevated fasting blood glucose and glycated hemoglobin (HbA1c), while lower proportions of elevated white blood cell count, reduced hemoglobin, and reduced high-density lipoprotein cholesterol (HDL-C) (P < 0.05). Multivariate logistic regression analysis identified significant predictors for Qi deficiency and blood stasis syndrome including: fine pulse [odds ratio (OR) = 4.38], astringent pulse (OR = 3.67), superficial sensory abnormalities (OR = 1.86), centrum semiovale infarction (OR = 1.57), cerebral atrophy (OR = 1.55), vertebral artery stenosis (OR = 1.62), and elevated HbA1c (OR = 3.52). The ROC curve analysis of the comprehensive prediction model yielded an area under the curve (AUC) of 0.878 [95% confidence interval (CI) = 0.855 – 0.900]. [Conclusion] This study finds out that Qi deficiency and blood stasis syndrome represents one of the primary types of AIS. Fine pulse, astringent pulse, superficial sensory abnormalities, centrum semiovale infarction, cerebral atrophy, vertebral artery stenosis, elevated blood glucose, elevated HbA1c, pale and dark tongue colors, and white tongue coating are key objective diagnostic indicators for the syndrome differentiation of AIS with Qi deficiency and blood stasis syndrome. Based on these indicators, a syndrome differentiation prediction model has been developed, offering a more objective basis for clinical diagnosis, and help to rapidly identify this syndrome in clinical practice and reduce misdiagnosis and missed diagnosis.

This study aims to investigate the effects of astragalus polysaccharide (APS) on diabetic retinopathy through the SHH-Gli1-AQP1 pathway. The anti-type 2 diabetes mellitus (T2DM) targets of APS were identified through comprehensive searches of drug and disease-related databases. A protein-protein interaction network was then constructed, followed by GO and KEGG enrichment analyses.Molecular docking simulations were performed to evaluate the interactions of APS and metformin with Gli1 and AQP1. An in vivo T2DM rat model was established via streptozotocin (STZ) injection and treated with metformin and varying doses of APS for 12 weeks. Histological changes in retinal cells were assessed using H&E and PAS staining. The expression levels of AQP1, Gli1, and SHH in the retina were measured using immunohistochemistry, Western blotting, immunofluorescence, and ELISA. Additionally, mRNA expression of AQP1, Gli1, and SHH was quantified by RT-qPCR. Bioinformatic analyses indicated that Gli1 and AQP1, key components of the SHH-Gli1-AQP1 signaling pathway, may be associated with T2DM. Subsequent experiments demonstrated that the STZ-induced T2DM rats exhibited significant retinal damage, which was notably mitigated by both APS and metformin treatments. Furthermore, the SHH-Gli1-AQP1 signaling pathway was found to be overactivated in STZ-induced T2DM rats. Treatment with APS and metformin significantly reduced the elevated expression levels of SHH, Gli1, and AQP1. APS effectively inhibits retinal damage of STZinduced T2DM rats by restraining the SHH-Gli1-AQP1 signaling pathway.

This study aims to investigate the effects of astragalus polysaccharide (APS) on diabetic retinopathy through the SHH-Gli1-AQP1 pathway. The anti-type 2 diabetes mellitus (T2DM) targets of APS were identified through comprehensive searches of drug and disease-related databases. A protein-protein interaction network was then constructed, followed by GO and KEGG enrichment analyses.Molecular docking simulations were performed to evaluate the interactions of APS and metformin with Gli1 and AQP1. An in vivo T2DM rat model was established via streptozotocin (STZ) injection and treated with metformin and varying doses of APS for 12 weeks. Histological changes in retinal cells were assessed using H&E and PAS staining. The expression levels of AQP1, Gli1, and SHH in the retina were measured using immunohistochemistry, Western blotting, immunofluorescence, and ELISA. Additionally, mRNA expression of AQP1, Gli1, and SHH was quantified by RT-qPCR. Bioinformatic analyses indicated that Gli1 and AQP1, key components of the SHH-Gli1-AQP1 signaling pathway, may be associated with T2DM. Subsequent experiments demonstrated that the STZ-induced T2DM rats exhibited significant retinal damage, which was notably mitigated by both APS and metformin treatments. Furthermore, the SHH-Gli1-AQP1 signaling pathway was found to be overactivated in STZ-induced T2DM rats. Treatment with APS and metformin significantly reduced the elevated expression levels of SHH, Gli1, and AQP1. APS effectively inhibits retinal damage of STZinduced T2DM rats by restraining the SHH-Gli1-AQP1 signaling pathway.

This study aims to investigate the effects of astragalus polysaccharide (APS) on diabetic retinopathy through the SHH-Gli1-AQP1 pathway. The anti-type 2 diabetes mellitus (T2DM) targets of APS were identified through comprehensive searches of drug and disease-related databases. A protein-protein interaction network was then constructed, followed by GO and KEGG enrichment analyses.Molecular docking simulations were performed to evaluate the interactions of APS and metformin with Gli1 and AQP1. An in vivo T2DM rat model was established via streptozotocin (STZ) injection and treated with metformin and varying doses of APS for 12 weeks. Histological changes in retinal cells were assessed using H&E and PAS staining. The expression levels of AQP1, Gli1, and SHH in the retina were measured using immunohistochemistry, Western blotting, immunofluorescence, and ELISA. Additionally, mRNA expression of AQP1, Gli1, and SHH was quantified by RT-qPCR. Bioinformatic analyses indicated that Gli1 and AQP1, key components of the SHH-Gli1-AQP1 signaling pathway, may be associated with T2DM. Subsequent experiments demonstrated that the STZ-induced T2DM rats exhibited significant retinal damage, which was notably mitigated by both APS and metformin treatments. Furthermore, the SHH-Gli1-AQP1 signaling pathway was found to be overactivated in STZ-induced T2DM rats. Treatment with APS and metformin significantly reduced the elevated expression levels of SHH, Gli1, and AQP1. APS effectively inhibits retinal damage of STZinduced T2DM rats by restraining the SHH-Gli1-AQP1 signaling pathway.

This study aims to investigate the effects of astragalus polysaccharide (APS) on diabetic retinopathy through the SHH-Gli1-AQP1 pathway. The anti-type 2 diabetes mellitus (T2DM) targets of APS were identified through comprehensive searches of drug and disease-related databases. A protein-protein interaction network was then constructed, followed by GO and KEGG enrichment analyses.Molecular docking simulations were performed to evaluate the interactions of APS and metformin with Gli1 and AQP1. An in vivo T2DM rat model was established via streptozotocin (STZ) injection and treated with metformin and varying doses of APS for 12 weeks. Histological changes in retinal cells were assessed using H&E and PAS staining. The expression levels of AQP1, Gli1, and SHH in the retina were measured using immunohistochemistry, Western blotting, immunofluorescence, and ELISA. Additionally, mRNA expression of AQP1, Gli1, and SHH was quantified by RT-qPCR. Bioinformatic analyses indicated that Gli1 and AQP1, key components of the SHH-Gli1-AQP1 signaling pathway, may be associated with T2DM. Subsequent experiments demonstrated that the STZ-induced T2DM rats exhibited significant retinal damage, which was notably mitigated by both APS and metformin treatments. Furthermore, the SHH-Gli1-AQP1 signaling pathway was found to be overactivated in STZ-induced T2DM rats. Treatment with APS and metformin significantly reduced the elevated expression levels of SHH, Gli1, and AQP1. APS effectively inhibits retinal damage of STZinduced T2DM rats by restraining the SHH-Gli1-AQP1 signaling pathway.

This study aims to investigate the effects of astragalus polysaccharide (APS) on diabetic retinopathy through the SHH-Gli1-AQP1 pathway. The anti-type 2 diabetes mellitus (T2DM) targets of APS were identified through comprehensive searches of drug and disease-related databases. A protein-protein interaction network was then constructed, followed by GO and KEGG enrichment analyses.Molecular docking simulations were performed to evaluate the interactions of APS and metformin with Gli1 and AQP1. An in vivo T2DM rat model was established via streptozotocin (STZ) injection and treated with metformin and varying doses of APS for 12 weeks. Histological changes in retinal cells were assessed using H&E and PAS staining. The expression levels of AQP1, Gli1, and SHH in the retina were measured using immunohistochemistry, Western blotting, immunofluorescence, and ELISA. Additionally, mRNA expression of AQP1, Gli1, and SHH was quantified by RT-qPCR. Bioinformatic analyses indicated that Gli1 and AQP1, key components of the SHH-Gli1-AQP1 signaling pathway, may be associated with T2DM. Subsequent experiments demonstrated that the STZ-induced T2DM rats exhibited significant retinal damage, which was notably mitigated by both APS and metformin treatments. Furthermore, the SHH-Gli1-AQP1 signaling pathway was found to be overactivated in STZ-induced T2DM rats. Treatment with APS and metformin significantly reduced the elevated expression levels of SHH, Gli1, and AQP1. APS effectively inhibits retinal damage of STZinduced T2DM rats by restraining the SHH-Gli1-AQP1 signaling pathway.

ObjectiveIn nature, objects cast shadows due to illumination, forming the basis for stereoscopic perception. Birds need to adapt to changes in lighting (meaning they can recognize stereoscopic shapes even when shadows look different) to accurately perceive different three-dimensional forms. However, how neurons in the key visual brain area in birds handle these lighting changes remains largely unreported. In this study, pigeons (Columba livia) were used as subjects to investigate how neurons in pigeon’s ventrolateral mesopallium (MVL) represent stereoscopic shapes consistently, regardless of changes in lighting. MethodsVisual cognitive training combined with neuronal recording was employed. Pigeons were first trained to discriminate different stereoscopic shapes (concave/convex). We then tested whether and how light luminance angle and surface appearance of the stereoscopic shapes affect their recognition accuracy, and further verify whether the results rely on specify luminance color. Simultaneously, neuronal firing activity of neurons was recorded with multiple electrode array implanted from the MVL during the presentation of difference shapes. The response was finally analyzed how selectively they responded to different stereoscopic shapes and whether their selectivity was affected by the changes of luminance condition (like lighting angle) or surface look. Support vector machine (SVM) models were trained on neuronal population responses recorded under one condition (light luminance angle of 45°) and used to decode responses under other conditions (light luminance angle of 135°, 225°, 315°) to verify the invariance of responses to different luminance conditions. ResultsBehavioral results from 6 pigeons consistently showed that the pigeons could reliably identify the core 3D shape (over 80% accuracy), and this ability wasn’t affected by changes in light angle or surface appearance. Statistical analysis of 88 recorded neurons from 6 pigeons revealed that 83% (73/88) showed strong selectivity for specific 3D shapes (selectivity index>0.3), and responses to convex shapes were consistently stronger than to concave shapes. These shape-selective responses remained stable across changes in light angle and surface appearance. Neural patterns were consistent under both blue and orange lighting. The decoding accuracy achieves above 70%, suggesting stable responses under different conditions (e.g., different lighting angles or surface appearance). ConclusionNeurons in the pigeon MVL maintain a consistent neural encoding pattern for different stereoscopic shapes, unaffected by illumination or surface appearance. This ensures stable object recognition by pigeons in changing visual environments. Our findings provide new physiological evidence for understanding how birds achieve stable perception (“invariant neural representations”) while coping with variations in the visual field.

ObjectiveTo identify the rate， population characteristics， and vaccination history of repeat infections among previously infected people in the current epidemic based on the rate of repeat infection and population characteristics of different mutant strains at different times in Pudong New Area of Shanghai， and to provide reference for the prevention and control strategies of novel coronavirus repeat infections. MethodsA total of 9 250 investigated subjects were randomly selected from the new cases of asymptomatic infection and confirmed cases reported by Pudong New Area from March to May 2022. The investigation mainly focused on demographic characteristics， nucleic acid or antigen test results， and symptoms after infection. The repeat infection rates among different populations were compared， and logistic regression was used to analyze the impact of gender， age， and vaccination status on repeat infections. ResultsThe survey sample of 9 250 people had a response rate of 81.85%. There were 4 043 males （53.40%） and 3 528 females （46.60%）， with a median age of 34 years old （P₂₅， P₇₅： 7， 61）. The overall vaccine uptake rate was 59.44% （4 500/7 571）. In December of 2022， there were 563 cases of repeat infection， with an infection rate of 7.44%. The lowest rate of repeat infection was seen in the 3‒ year-old group （2.86%） and the highest rate in the 30‒ year-old group （12.42%）， with significant differences between different age groups. The repeated infection rate for those who had completed their vaccinations was significantly lower （6.57%） compared to those who had not （7.11%）. The age groups of 3‒ years， 70‒79 years， as well as individuals who completed full vaccination and received booster shots were protective factors against repeat infections. ConclusionThe overall rate of reinfection among the infected in Shanghai during the spring of 2022 was low in the outbreak of the Omicron variant， and the rate of reinfection in the 3‒ year-old group was significantly lower than in other age groups. Completing the full course of vaccination significantly reduces the risk of reinfection. Although the reinfection rate is high in individuals who received booster shots， it remains a mitigating factor compared to those who do not receive the vaccine. It is recommended to continue monitoring reinfections in key populations and further strengthen immunization efforts.

Diabetic macular edema(DME)is a complication of diabetic retinopathy(DR), and is also the main cause of vision loss and blindness in DR patients. Optical coherence tomography(OCT)and optical coherence tomography angiography(OCTA)serve as the principal methods for the non-invasive assessment of microstructural and microvascular pathological changes in the retina. They are widely-used methods for detecting and evaluating DME. As OCT and OCTA technologies advance, various parameters have assumed the role of biomarkers, such as central subfield thickness(CST), cube average thickness(CAT), cube volume(CV), disorganization of retinal inner layers(DRIL), hyperreflective foci(HRF)and subfoveal neuroretinal detachment(SND). OCT and OCTA are widely used in clinical practice. OCT can visually show the layer changes and subtle structures of the retina and choroid in the macular area, while OCTA is more often used to detect microvascular changes. In this article, the role of OCT and OCTA-related biomarkers in prognosis and monitoring in DME is described, while the biomarkers visible in the test results can provide new ideas for monitoring and treatment strategies in DME, and provide new insights into the pathogenesis of DR and DME.