1.Herbal Textual Research on Bambusae Succus in Famous Classical Formulas
Yu SHI ; Feng ZHOU ; Yihan WANG ; Yanmeng LIU ; Ming YANG ; Zhiping CHEN ; Jiangshan ZHANG ; Conglong XU ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):231-239
This article systematically reviews and examines the historical evolution of Bambusae Succus as a medicinal material, covering aspects such as nomenclature, origin, geographical distribution, harvesting and processing methods, quality assessment, therapeutic effects and indications, by consulting ancient herbal texts, medical compendia, and modern literature. The aim is to provide a reference for the development and utilization of famous classical formulas containing this herb. Research indicated that Bambusae Succus was first documented in the Shennong Bencaojing during the Han dynasty, with Zhuli being the standard name used throughout history, alongside aliases like Zhuzhi, Zhuyou and Huoquan. Historically, the primary source of Bambusae Succus has been Phyllostachys nigra var. henonis(Danzhu), although other species such as Pleioblastus amarus and Bambusa emeiensis have also been used medicinally. Ancient records predominantly noted its origin in Yizhou(present-day Chengdu and surrounding areas in Sichuan) and the Wuling region(between present-day Hunan, Guangdong, Guangxi and Jiangxi provinces), while contemporary sources are mainly from regions south of the Yangtze River and southwestern China. Traditionally, Bambusae Succus was harvested from bamboo that had grown for exactly one year, today, it can be collected year-round without strict age requirements. Ancient preparation methods included direct fire roasting or dry distillation, whereas modern industrial production employs dry distillation, reflux extraction, and percolation. In terms of quality evaluation, ancient texts considered a sweet taste to be superior, while today, clarity and transparency are prioritized. Historically, Bambusae Succus was characterized as sweet and cold nature, targeting the lung and stomach meridians, with uses evolving from clearing heat and resolving phlegm to nourishing Yin, moistening dryness, and relaxing tendons and unblocking meridians. Modern descriptions classify it as sweet, bitter, and cold in nature, affecting the heart, liver, and lung meridians, with functions including clearing heat, resolving phlegm, and facilitating orifices. It is indicated for conditions such as stroke with phlegm confusion, lung heat with phlegm congestion, convulsions, epilepsy, excessive phlegm in febrile diseases, high fever with thirst, irritability during pregnancy, and tetanus, with more clearly defined applications. Based on the results of the research, it is recommended that when developing and utilizing famous classical formulas containing Bambusae Succus, the one-year-old Phyllostachys nigra var. Henonis, which has been highly praised throughout history, should be selected as the source material. Industrial production should adopt the dry distillation method. Furthermore, in-depth research should be conducted on the modern technological characterization of the traditional quality control indicator of sweet taste, and reasonable modern quality control standards should be established.
2. Exploration and Practice of a Generative AI-assisted Four-dimensional Integration Platform of “Teaching, Learning, Evaluation, and Research” for The Biochemistry and Molecular Biology Courses
Pan CHEN ; Yang XI ; Xiao-Feng JIN ; De-Sen SUN ; Qiang CHEN ; Jun-Ming GUO
Progress in Biochemistry and Biophysics 2026;53(3):789-800
ObjectiveBiochemistry and Molecular Biology, a discipline that elucidates life phenomena at the molecular level, serves as a core foundational course in medical education. It provides the theoretical basis for studying other basic and clinical medical subjects, as well as for understanding pathogenesis, disease diagnosis, and treatment. However, its complex content and highly abstract concepts have posed a dual challenge to traditional teaching models: “inefficient instruction” and “inadequate learning outcomes”. Within limited classroom hours, how to engage students and stimulate their intrinsic motivation, and how to help them recognize, understand, and develop a passion for biochemistry from the perspective of the discipline’s essence, have long been key focuses of curriculum research. MethodsUsing the lipid metabolism chapter as an example, this study employs “Rain Classroom”, a generative artificial intelligence (AI)-assisted platform, to support education in four dimensions: teaching, learning, evaluation, and research. In teaching, it assists instructors through virtual experiments, lesson preparation support, knowledge mapping, and assignment design. For learning, it serves as an intelligent study assistant for students, providing automated assignment review, enabling educational resource sharing, and facilitating personalized learning pathways. In evaluation, the platform automates assignment grading, analyzes student performance data, and offers diagnostic feedback and teaching recommendations. In research, it aids educators in collecting and analyzing teaching data, as well as searching for and summarizing relevant literature. ResultsThe results indicate that an educational model integrating teacher-led instruction, student-centered learning, and generative AI assistance significantly enhances teaching quality, students’ self-directed learning abilities, and knowledge mastery. Furthermore, with the support of generative AI, curriculum-based ideological education—focusing on cutting-edge disciplinary advances and topical medical issues—helps cultivate students’ medical spirit of “honoring life and healing the wounded”, thereby fostering the establishment of appropriate professional values. Finally, while generative AI presents both opportunities and challenges for higher education, this study also analyzes potential risks in its teaching applications, emphasizing the need for both instructors and students to avoid over-reliance and to ensure that technological tools consistently serve the fundamental goals of education. ConclusionThis study demonstrates that integrating generative AI, specifically via the “Rain Classroom” platform, can effectively enhance biochemistry education. By supporting teaching, learning, evaluation, and research, this approach improves both educational effectiveness and student outcomes. It also facilitates the incorporation of cutting-edge knowledge and professional ethics, nurturing a patient-centered mindset. Additionally, the study addresses potential implementation risks to ensure that such technological tools remain aligned with the core purpose of education.
3.Progresses of structural and functional MRI in research of hippocampal changes in Alzheimer disease continuum
Qingqing SHANG ; Bingyuan CHU ; Ming YANG ; Hanxi ZHANG ; Xinlu LI ; Ze FENG ; Weiqing LI ; Feng WANG
Chinese Journal of Medical Imaging Technology 2025;41(9):1595-1599
Alzheimer disease(AD)is a neurological disease characterized by cognitive decline.AD continuum refers to the dynamic development progression from early pathological changes to obvious clinical symptoms,covering the continuous spectrum of subjective cognition decline(SCD)stage,mild cognitive impairment(MCI)stage and dementia stage.As one of the key brain regions involved in early stage,hippocampus(HP)in AD continuum is closely related to the progression of disease.MRI has been widely used in the study of HP in the AD continuum.The progresses in structural and functional MRI research of HP changes in AD continuum were reviewed in this article.
4.Establishment of quantitative models for effective components in Yishen Xiezhuo Mixture
Zi-fang FENG ; Min-min HU ; Xiao-wei CHEN ; Wen-ming ZHANG ; Li-hong GU ; Ping QIN ; Yi PENG ; Zhen-hua BIAN ; Qing-you YANG ; Tu-lin LU
Chinese Traditional Patent Medicine 2025;47(10):3177-3184
AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P>0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.
5.Risk factors and their predictive efficacy for early postoperative complications in elderly patients with hip fracture
Deen WAN ; Yongzhou YAN ; Feng SHUANG ; Hao LI ; Zhi ZENG ; Mudan HUANG ; Lu HAN ; Xiang PENG ; Di YANG ; Ming CHEN ; Qixin LIU
Chinese Journal of Trauma 2025;41(3):274-281
Objective:To investigate the risk factors and their predictive efficacy for early postoperative complications in elderly patients with hip fracture.Methods:A retrospective cohort study was conducted on the clinical data of 203 elderly patients with hip fracture admitted to the 908th Hospital of the Joint Logistics Support Force of the PLA and the First Affiliated Hospital of Nanchang University from January 2022 to December 2023, including 54 males and 149 females, aged 65-100 years [(80.5±7.7)years]. There were 96 patients with femoral neck fracture and 107 patients with intertrochanteric fracture. According to the AO/OTA classification, the fracture was classified as type 31A in 107 patients and type 31B in 96. Among them, 81 patients were treated with proximal femoral nail antirotation (PFNA), 65 with semi-hip arthroplasty, 52 with total hip arthroplasty (THA), and 5 with closed reduction and cannulated nail internal fixation. The patients were divided into complication group ( n=65) and non-complication group ( n=138) according to whether complications (mainly including delirium, lung infection, stress ulcer, and deep vein thrombosis of the lower limbs) occurred within 15 days after surgery. The gender, age, age stage, educational level, cause of injury, associated underlying diseases before surgery, AO/OTA classification, American Society of Anesthesiologists (ASA) classification, 5-factor modified frailty index (mFI-5) score, prognostic nutritional index (PNI), anesthesia method, operation method, operation time, intraoperative blood loss, length of hospital stay, etc., were recorded in the two groups. Univariate analysis and multivariate binary logistic regression analysis were used to evaluate the correlation between the above indexes and the occurrence of early postoperative complications in elderly patients with hip fracture and to determine their independent risk factors. The receiver operating characteristic (ROC) curve was plotted and the area under the curve (AUC) was calculated to evaluate the predictive efficacy of each risk factor for the occurrence of early postoperative complications in elderly patients with hip fracture. Results:Univariate analysis showed a certain correlation between age, age stage, associated underlying diseases before surgery, AO/OTA classification, ASA classification, mFI-5 score, PNI, operation method, and length of hospital stay and the occurrence of early postoperative complications in elderly patients with hip fracture ( P<0.05), while gender, educational level, cause of injury, anesthesia method, operation time, and intraoperative blood loss were not correlated with the occurrence of early postoperative complications in elderly patients with hip fracture ( P>0.05). The results of multivariate binary logistic regression analysis showed that the associated underlying diseases before surgery ( OR=5.46, 95% CI 1.33, 22.39, P<0.05), mFI-5 score ( OR=15.90, 95% CI 5.36, 47.15, P<0.01), and PNI ( OR=0.70, 95% CI 0.60, 0.81, P<0.01) were significantly correlated with the occurrence of early postoperative complications in elderly patients with hip fracture. The results of ROC curve analysis showed that mFI-5 score (AUC=0.85, 95% CI 0.80, 0.91) and PNI (AUC=0.87, 95% CI 0.82, 0.93) had moderate predictive efficacy, while the early warning efficacy of associated underlying diseases was low (AUC=0.54, 95% CI 0.45, 0.62). The combination of the above risk factors was more effective in predicting early postoperative complications in elderly patients with hip fracture (AUC=0.95, 95% CI 0.92, 0.98). Conclusions:The mFI-5 score, PNI, and associated underlying diseases before surgery are independent risk factors for early postoperative complications in elderly patients with hip fracture. The mFI-5 score and PNI have a higher predictive efficacy than associated diseases before surgery on the occurrence of early postoperative complications in elderly patients with hip fracture, while the combination of the above risk factors provides a significantly better predictive performance.
6.Exploring the characteristics and clinical application of cerebral blood flow in children with congenital heart disease based on three-dimensional pseudo continuous arterial spin labeling technology
Peng LIU ; Feng YANG ; Ming YANG
Journal of Practical Radiology 2025;41(2):280-284
Objective To explore the characteristics and clinical application of region cerebral blood flow(rCBF)in the gray matter,white matter,and deep gray matter nuclei of infants and young children with congenital heart disease(CHD)using MR three-dimensional pseudo continuous arterial spin labeling(3D-pCASL)technology.Methods The routine MRI and 3D-pCASL scanning images of 35 infants and young children with CHD aged 0-24 months were prospectively selected as the CHD group,and the images of 35 healthy infants and young children aged 0-24 months were selected as the control group,the differences in rCBF in gray matter,white matter,and deep gray matter nuclei between the two groups were compared,and the correlation between discipline quotient(DQ)scores in various functional areas of the Gesell developmental schedule(GDS)and rCBF in the CHD group were further analyzed.Results The rCBF in the gray matter,right caudate nucleus,bilateral thalamus,and left putamen of the CHD group was significantly lower than that of the control group;In the CHD group,the rCBF in the left putamen was significantly higher than that in the right putamen;Correlation analysis showed that the right caudate nucleus rCBF(r=0.669,P<0.05),left caudate nucleus rCBF(r=0.584,P<0.05),and left putamen rCBF(r=0.478,P<0.05)in the CHD group were significantly positively correlated with adaptive DQ scores;The right caudate nucleus rCBF(r=0.659,P<0.05)and left caudate nucleus rCBF(r=0.626,P<0.05)were significantly positively correlated with fine motor DQ scores.Conclusion There are statistically significant differences in rCBF of the gray matter,right caudate nucleus,bilateral thalamus,and left putamen between the CHD group and the control group,and rCBF in multiple regions show significant positive correlation with GDS.3D-pCASL technology can provide cerebral blood characteristics in children with CHD and provide an important basis for clinical treatment.
7.Preferences for achievements transformation of Traditional Chinese Medicine(TCM)Preparation among medical staff in TCM hospitals in Beijing
Yi-xuan CHEN ; Xue-feng SHI ; Wan-jin YANG ; Xin-qi GENG ; Han-lin NIE ; Ming-li MA ; Xiao-wei NIU ; Yao-qi WANG
Chinese Journal of Health Policy 2025;18(11):66-73
Objective:To analyze the preferences of medical staff in TCM hospitals in Beijing regarding the achievements transformation of hospital traditional Chinese medicine preparations,and to provide a reference for formulating incentive policies.Methods:233 medical staff from five TCM hospitals in Beijing were taken as the research objects,and surveyed with a questionnaire designed based on the discrete choice experiment(DCE).Mixed logit models and latent class models were then used to analyze their transformation preferences.Results:The mixed Logit model revealed that seven key attributes significantly influenced medical staff's preferences for the achievements transformation of traditional Chinese medicine preparations(P<0.05).Latent class analysis identified three distinct preference groups among respondents:an organization-dependent group(27.0%),a pro-transformation group(61.4%),and a conservative group(11.6%).Conclusions:Medical Staff preferred transformation conditions that increased monthly income;utilized"human use+re-experimentation";involved the hospital's achievements transformation department as the entity;were funded by the hospital;offered a 70%profit share;enabled promotion three years earlier,and assigned patents to the hospital.The study recommends implementing diverse incentive measures and developing differentiated strategies tailored to the distinct Medical Staff categories to facilitate the transformation of hospital traditional Chinese medicine preparations into new drugs.
8.A survey of continuing medical education and continuing professional development systems in China
Daya YANG ; Jiaxin LIU ; Kunsong ZHANG ; Shaoting FENG ; Wenjie HU ; Ming KUANG
Chinese Journal of Medical Education Research 2025;24(11):1466-1471
Objective:To investigate the characteristics of continuing medical education (CME) and continuing professional development (CPD) systems in China, the perceptions of health professionals regarding CME/CPD, and their views on the extent to which the current CME/CPD systems meet learning needs.Methods:A questionnaire survey method was employed. The Chinese version of the global CME/CPD questionnaire developed by the Association for Medical Education in Europe was used to conduct an online survey of 2 951 health professionals across 32 provinces, autonomous regions, and municipalities directly under the central government in mainland China from 2020 to 2021. The survey results were analyzed using descriptive statistics, chi-square tests, and content analysis.Results:Among the 2 951 respondents, internal medicine practitioners accounted for the highest proportion (664, 22.50%), and 2 050 (69.47%) of the respondents were located in the eastern region. In the past 12 months, 1 489 (50.46%) respondents participated in 11-30 hours of CME/CPD, and 2 406 (81.53%) considered that the existing activities met their learning needs. There were statistically significant differences ( P<0.05) in the learning needs for CME/CPD, participation in educational training and interprofessional continuing education, and satisfaction with industry-supported CME/CPD among health professionals with different years of practice. Conclusions:Health professionals in China have a high level of participation in CME/CPD. There are differences in their familiarity and satisfaction with the current systems. It is recommended to enhance the promotion of the CME/CPD systems, optimize the teaching content, improve education quality, and strengthen commercial interest regulation. These will better meet the learning needs of health professionals and promote high-quality development in medical education.
9.Research progress of the relationship between gut microbiota and systemic lupus erythematosus
Lin-Feng GUO ; Bin ZHANG ; Hong-Zhi WANG ; Ming-Feng YANG
Medical Journal of Chinese People's Liberation Army 2025;50(3):284-291
Systemic lupus erythematosus(SLE)is a chronic diffuse connective tissue disease characterized by abnormal activation of the immune system,which attacks the body's tissues.It has a complex course and its pathological basis is vasculitis.In recent years,research on the relationship between SLE and the gut microbiota has increased significantly,but how to regulate the gut microbiota for the treatment of SLE remains unclear.Studies have found that the intestinal microbiota of SLE patients differs from that of healthy people in terms of Firmicutes,Bacteroidetes,Actinomycetes,and Proteobacteria,etc.,and this has been verified in animal experiments.In this review,the changes of intestinal microbiota in SLE patients and their association with the pathogenesis and progression of the disease are systematically reviewed,aiming to provide new insights into the treatment of SLE.
10.Morphology of enteric nervous system in C57BL/6 mice based on fMOST high-resolution 3D reconstruction system
Li-Ge LENG ; Guan-Xiong YANG ; Ze-En WANG ; Yi CHEN ; Zhi-Liang QIAO ; Qing-Zhong HU ; Ming-Yan WANG ; Feng TIAN
Acta Anatomica Sinica 2025;56(1):114-119
Objective To initially explore the possibility of applying the fluorescence micro-optical sectioning tomography(fMOST)high-resolution 3D reconstruction system to the morphological study of the intestinal nervous system and to preliminarily establish a method for studying the morphology of the intestinal nervous system using this system.Methods fMOST high-resolution 3D reconstruction system was used to study the intestinal nervous system of C57BL/6 mice in detail.Based on this method,a new morphological method of the visceral nervous system of small animal models was explored at the single-cell level.Results Compared with the large intestine,the small intestine lacked the typical myenteric plexus(Auerbach),deep mucosal plexus(Henley),and submucosal superficial plexus(Meissner).Conclusion The result of this paper provide a clearer and systematic display of the anatomical structure of the enteric nervous system in C57BL/6 mice,and further clarify the similarities and differences between the enteric nervous system of mice and human,and provide a theoretical basis for its rational application in the study of digestive system diseases.The morphological study of fMOST high-resolution 3D reconstruction system is not limited to the central nervous system,but can be extended to the morphological study of multiple visceral nervous systems.

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