1.Chemical consitituents and hypoglycemic activity of Qinhuai No. 1 Rehmannia glutinosa
Meng YANG ; Zhi-you HAO ; Xiao-lan WANG ; Chao-yuan XIAO ; Jun-yang ZHANG ; Shi-qi ZHOU ; Xiao-ke ZHENG ; Wei-sheng FENG
Acta Pharmaceutica Sinica 2025;60(1):205-210
Eight compounds were isolated and purified from the ethyl acetate part of 70% acetone extract of
2.Efficacy of balloon stent or oral estrogen for adhesion prevention in septate uterus: A randomized clinical trial.
Shan DENG ; Zichen ZHAO ; Limin FENG ; Xiaowu HUANG ; Sumin WANG ; Xiang XUE ; Lei YAN ; Baorong MA ; Lijuan HAO ; Xueying LI ; Lihua YANG ; Mingyu SI ; Heping ZHANG ; Zi-Jiang CHEN ; Lan ZHU
Chinese Medical Journal 2025;138(8):985-987
3.Effect and mechanism of Moringa oleifera leaves, seeds, and velamen in improving learning and memory impairments in mice based on transcriptomic and metabolomic.
Zhi-Hao WANG ; Shu-Yi FENG ; Tao LI ; Wan-Ping ZHOU ; Jin-Yu WANG ; Yang LIU ; Lin ZHANG ; Yuan-Yuan XIE ; Xiu-Lan HUANG ; Zhi-Yong LI ; Lu-Qi HUANG
China Journal of Chinese Materia Medica 2025;50(13):3793-3812
Moringa oleifera, widely utilized in Ayurvedic medicine, is recognized for its leaves, seeds, and velamen possessing traditional effects such as vātahara(wind alleviation), sirovirecaka(brain clearing), and hridya(mental nourishment). This study aims to identify the medicinal part of ■ in the Sārasvata ghee formulation as described in the Bower Manuscript, while investigating the ameliorative effects of different medicinal parts of M. oleifera on learning and memory deficits in mice and elucidating the underlying molecular mechanisms. A total of 144 male ICR mice were randomly assigned to the following groups: control, model(scopolamine hydrobromide, Sco, 2 mg·kg~(-1)), donepezil(donepezil hydrochloride, Don, 3 mg·kg~(-1)), M. oleifera leaf low-, medium-, and high-dose groups(0.5, 1, 2 g·kg~(-1)), M. oleifera seeds low-, medium-, and high-dose groups(0.25, 0.5, 1 g·kg~(-1)), and M. oleifera velamen low-, medium-, and high-dose groups(0.31, 0.62, 1.24 g·kg~(-1)). Learning and memory abilities were assessed using the passive avoidance test and Morris water maze. Nissl and HE staining were employed to examine histopathological changes in the hippocampus. Transcriptomics and targeted metabolomics were used to screen differential genes and metabolites, with MetaboAnalyst 6.0 and O2PLS methods applied to identify key disease-related targets and pathways. RESULTS:: demonstrated that M. oleifera leaf(1 g·kg~(-1)) significantly ameliorated Sco-induced learning and memory deficits, outperforming M. oleifera seeds(0.25 g·kg~(-1)) and M. oleifera velamen(1.24 g·kg~(-1)). This was evidenced by improved behavioral performance, reversal of neuronal damage, and reduced acetylcholinesterase(AChE) activity. Multi-omics analysis revealed that M. oleifera leaf upregulated Tuba1c gene expression through the synaptic vesicle cycle, enhancing glutamate(Glu), dopamine(DA), and acetylcholine(ACh) release via Tuba1c-Glu associations for neuroprotection. M. oleifera seeds targeted the dopaminergic synapse pathway, promoting memory consolidation through Drd2-ACh associations. M. oleifera velamen was associated with the cocaine addiction pathway, modulating dopamine metabolism via Adora2a-DOPAC, with limited relevance to learning and memory. In conclusion, M. oleifera leaf exhibits superior efficacy and mechanistic advantages over M. oleifera seeds and velamen, suggesting that the ■ in the Sārasvata ghee formulation is likely M. oleifera leaf, providing scientific evidence for its identification in ancient texts.
Animals
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Moringa oleifera/chemistry*
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Male
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Mice
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Seeds/chemistry*
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Plant Leaves/chemistry*
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Mice, Inbred ICR
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Memory Disorders/psychology*
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Transcriptome/drug effects*
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Memory/drug effects*
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Learning/drug effects*
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Metabolomics
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Humans
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Drugs, Chinese Herbal/administration & dosage*
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Maze Learning/drug effects*
4.Characteristics of traditional Chinese medicine syndromes and medication patterns in cerebral small vessel disease based on data mining
Hong ZHANG ; Wenyu LAN ; Shiwei YANG ; Shuang ZENG ; Hao LIU ; Tiansong YANG ; Chuwen FENG ; Shulin LI
Journal of Clinical Medicine in Practice 2025;29(8):6-11
Objective To explore the traditional Chinese medicine(TCM)syndrome character-istics and medication patterns of cerebral small vessel disease(CSVD)using data mining techniques.Methods Clinical research literature on TCM treatment of CSVD,published from the establishment of the database to September 1,2024,was retrieved from the China National Knowledge Infrastructure(CNKI),Wanfang,and VIP databases.Analyses were conducted on syndromes,drug frequencies,properties,flavors,and meridian tropisms.Data mining was performed using R4.4.1 software to ex-plore associations,correlations,and clustering of TCM herbs,aiming to elucidate medication patterns in CSVD treatment.Results A total of 60 prescription formulas for treating CSVD were screened,involving 142 TCM herbs with a total usage frequency of 1,312 times.The top five most frequently used herbs were Chuanxiong,Danggui,Dilong,Huangqi,and Chishao.Herb properties were pre-dominantly warm and cold;flavors were mainly pungent,bitter,and sweet;and meridian tropisms were primarily to the liver,spleen,and heart meridians.Twenty-nine strong association rules were identified,and association analysis revealed core herbal combinations centered around Chuanxiong,Chishao,and Danggui.Clustering analysis yielded five herbal combinations.Conclusion CSVD is characterized by a deficiency in essence and excess in superficiality.Treatment should focus on tonify-ing deficiencies and eliminating excesses,combining both tonification and purgation methods.Medication patterns predominantly involve herbs for promoting blood circulation and removing blood stasis,often combined with herbs for nourishing the kidney and marrow,calming the liver and suppressing wind,and awakening the mind and opening the orifices.
5.Multi-omics analysis for ferroptosis-related genes as prognostic factors in cutaneous melanoma
Meng WU ; Ke LI ; Yangying LIAO ; Lan LI ; Xiao XIAO ; Yongjian CHEN ; Junweichen GUO ; Feng HU ; Jing QU ; Zheng WANG ; Hao FENG
Journal of Central South University(Medical Sciences) 2024;49(2):159-174
Objective:Melanoma is highly malignant and heterogeneous.It is essential to develop a specific prognostic model for improving the patients'survival and treatment strategies.Recent studies have shown that ferroptosis results from the overproduction of lipid peroxidation and is an iron-dependent form of programmed cell death.Despite this,ferroptosis-related genes(FRGs)and their clinical significances remain unknown in malignant melanoma.This study aims to assess the role of FRGs in melanoma,with the goal of developing a novel prognostic model that provides new insights into personalized treatment and improvement of therapeutic outcomes for melanoma. Methods:We systematically characterized the genetic alterations and mRNA expression of 73 FRGs in The Cancer Genome Atlas(TCGA)-skin cutaneous melanoma(SKCM)dataset in this study.The results were validated with real-time RT-PCR and Western blotting.Subsequently,a multi-gene feature model was constructed using the TCGA-SKCM cohort.Melanoma patients were classified into a high-risk group and a low-risk group based on the feature model.As a final step,correlations between ferroptosis-related signatures and immune features,immunotherapy efficacy,or drug response were analyzed. Results:By analyzing melanoma samples from TCGA-SKCM dataset,FRGs exhibited a high frequency of genetic mutations and copy number variations(CNVs),significantly impacting gene expression.Additionally,compared with normal skin tissue,30 genes with significantly differential expression were identified in melanoma tissues.A prognostic model related to FRGs,constructed using the LASSO Cox regression method,identified 13 FRGs associated with overall survival prognosis in patients and was validated with external datasets.Finally,functional enrichment and immune response analysis further indicated significant differences in immune cell infiltration,mutation burden,and hypoxia status between the high-risk group and the low-risk group,and the model was effective in predicting responses to immunotherapy and drug sensitivity. Conclusion:This study develops a strong ferroptosis-related prognostic signature model which could put forward new insights into target therapy and immunotherapy for patients with melanoma.
6.Exploring the Effect of Yuye Decoction on the Prevention and Treatment of Diabetic Nephropathy Based on Intestinal Flora and Intestinal Mucosal Barrier
Feng GUO ; Rui HAO ; Pengde CHEN ; Xue HAN ; Lan YAO
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(5):1308-1319
Objective To investigate the effects of Yuye Decoction(YYD)on diabetic nephropathy(DN)rats with Qi and Yin deficiency based on intestinal flora and intestinal mucosal barrier.Methods The content of the active ingredients puerarin,mangiferin and calycosin 7-O-β-D-glucopyranoside in YYD freeze dried powder was tested by HPLC to control the quality of YYD freeze dried powder.Forty-five Wistar rats were randomly divided into normal group(NC group),Qi-Yin deficiency DN group(M group)and YYD administration group(YYD group;5.03 g·kg-1)according to body weight.Intraperitoneal injections of streptozotocin(STZ)at a dose of 25 mg·kg-1 were administered,accompanied by oral gavage of adix Aconiti Lateralis,Citri Reticulatae Pericarpium Viride and Aurantii Fructus for 8 weeks to establish a Qi-Yin deficiency DN model in rats.During this period,rats in the YYD group were also treated with YYD extract.Weekly body weight and blood glucose levels were monitored for each group,along with observations of physical signs,food and water consumption,swimming time,and urine output in the rats.After 8 weeks,serum levels of cholesterol(TC),triglycerides(TG),low-density lipoprotein(LDL-C),high-density lipoprotein(HDL-C),serum creatinine(SCr)and urinary nitrogen(BUN)were analyzed in rats using automatic biochemical analysis.Hematoxylin-eosin staining(HE)was used to observe the pathological changes in the kidney and colon tissues.Enzyme-linked immunosorbent assay(ELISA)was used to measure urine protein concentration and serum levels of IgG,IgM,cAMP and cGMP.16SrDNA sequencing was used to sequence faecal flora and some flora were validated by quantitative real-time fluorescence PCR(qRT-PCR).Western blot method was used to measure the levels of intestinal barrier proteins and inflammatory factor proteins.Results The yield of YYD freeze-dried powder was 27.36%and the content of the active ingredients in YYD was 0.3496 mg·g-1 for puerarin,0.1851 mg·g-1 for mangiferin and 0.0429 mg·g-1 for calycosin 7-O-β-D-glucopyranoside.The results of animal experiments indicated that compared with Qi and Yin deficiency DN rats,YYD significantly improved the symptoms of lethargy and fatigue,increased swimming time,reduced water intake and increased food intake;increased the abundance of Bacteroidetes and decreased the abundance of Firmicutes in feces.Furthermore,according to measurements of blood lipids,blood glucose,renal function,IgG and IgM,as well as cAMP and cGMP,which are the energy homeostasis factors of the body,YYD could significantly improve the levels of these indicators in the model rats.HE staining showed that compared with model rats,YYD remarkably alleviated kidney and colon damage;inhibited the expression of inflammatory factors TNF-α and IL-6 in the kidney and colon,and markedly raised the expression levels of renal and colonic kinetic proteins CHRM3 and 5-HT3A as well as mucosal barrier proteins Occludin and ZO-1.Conclusion YYD play a role in preventing and treating in rats with Qi-Yin deficiency DN,and this effect may be related to YYD correcting intestinal flora dysbiosis,delaying intestinal mucosal damage and improving renal and colonic inflammation in the model rats.
7.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
8.A new biphenyl lignan from Cornus officinalis
Meng YANG ; Zhi-you HAO ; Xiao-lan WANG ; Shi-qi ZHOU ; Chao-yuan XIAO ; Jun-yang ZHANG ; Xiao-ke ZHENG ; Wei-sheng FENG
Acta Pharmaceutica Sinica 2024;59(6):1751-1756
Macroporous adsorption resin, MCI, Toyopearl HW-40C and silica gel column chromatography combined with the semi-preparative HPLC were used to isolate and purify the water extract of
9.Status quo and influencing factors of drug resistance of tuberculosis in Inner Mongolia
Jinqi HAO ; Lan ZHANG ; Yanqin YU ; Mingyuan HAO ; Aixin WANG ; Fumin FENG
Acta Universitatis Medicinalis Anhui 2024;59(3):515-520
Objective To investigate the status quo of drug resistance and influencing factors of tuberculosis in In-ner Mongolia,and to provide reference for accurate prevention and control of drug-resistant tuberculosis.Methods Random sampling was used in this study.TB patients from Tuberculosis designated hospital in Inner Mongolia were included,according to the rules and drug-resistant strains were identified and tested according to relevant norms.Composition ratio or rate was calculated for statistical description,and Logistic regression model was used to analyze the influencing factors of drug resistance in TB patients.Results Among 1 321 patients,there were 936 males and 385 females,with an average age of(52.65±18.09)years.The rates of mono-resistant,multidrug-resistant(MDR),extensively drug-resistant(XDR)and total drug resistance were 19.00%,11.58%,11.66%and 42.24%,respectively.The highest resistance rates were observed for streptomycin(7.27%),isoniazid(4.69%),and isoniazid+streptomycin(4.47%).The drug resistance spectrum presented diversity and com-plexity.Compared to females,males had a higher proportion of drug resistance,and the difference was statistically significant(P<0.001).The proportion of patients who were sensitive to anti-tuberculosis drugs increased with age(P<0.05).Among different age groups,the proportion of drug-resistant patients was higher in the 20-40 age group,40-60 age group,and 60 and above age group compared to the 0-20 age group(P<0.05).Addi-tionally,the proportion of drug-resistant patients was higher in the 20-40 age group and 40-60 age group com-pared to the 60 and above age group(P<0.05).Moreover,the proportion of drug-resistant and multi-drug re-sistant patients was higher among patients undergoing retreatment compared to those undergoing initial treatment(P<0.001).Multivariate Logistic regression analysis showed that male gender(OR=1.48,95%CI:1.02-2.14),age 20-40 years(OR=2.64,95%CI:1.05-6.60),retreatment(OR=2.34,95%CI:1.70-3.22),and outpatient follow-up(OR=1.56,95%CI:1.05-2.33)were independent risk factors for drug-resistant tuber-culosis.Conclusion Inner Mongolia has a high prevalence of MDR and overall drug-resistant tuberculosis among patients.The drug resistance profile exhibits diversity and complexity.Risk factors that contribute to drug resist-ance include being male,aged between 20 and 40,undergoing retreatment,and receiving outpatient follow-up.Therefore,it is necessary to further improve clinical diagnosis and treatment,promote rational use of first-line anti-tuberculosis drugs,prioritize individualized treatment,enhance health education,improve the medical insurance system,and optimize patient management approaches in order to enhance patient compliance.
10.Factors influencing malnutrition in tuberculosis patients based on analysis of nutritional status in different populations
Jinqi HAO ; Pengfei GAO ; Yanqin YU ; Lan ZHANG ; Jiafu QI ; Mingyuan HAO ; Aixin WANG ; Fumin FENG
Acta Universitatis Medicinalis Anhui 2024;59(5):903-908,913
Objective To investigate the nutritional status and dietary structure of tuberculosis patients among dif-ferent populations, analyze the factors influencing the nutritional status of tuberculosis patients, and provide theo-retical basis for improving clinical nutrition and related issues in tuberculosis patients.Methods Tuberculosis pa-tients, non-tuberculosis patients, and healthy individuals were randomly selected for a questionnaire survey.De-scriptive analysis was conducted using SPSS 20.0 software.Statistical description was performed using rates and composition ratios, and qualitative data were described using relative numbers.Chi-square test was used to compare overall rates and composition ratios among different health conditions groups, with a significance level of α=0.05.Independent factors analysis of nutritional status body mass index (BMI) was conducted using multiple Logistic re-gression analysis for variables with statistically significant differences in the univariate analysis.Results There were differences in the nutritional status (x2 =62.184, P<0.05) and dietary diversity score (x2 =64.049, P<0.05) among tuberculosis patients, non-tuberculosis patients, and healthy individuals.Univariate analysis of nutri-tional status BMI showed statistically significant differences in gender, smoking, meat-based diet, vegetable-based diet, moderate diet diversity score, and 6 other variables for tuberculosis patients (P <0.05) , and in gender, age, ethnicity, marital status, occupation, education level, smoking, drinking white wine, drinking beer, meat-based diet, moderate diet, and 11 other variables for healthy individuals (P<0.05) .The variables with statisti-cally significant differences in the univariate analysis were included in the multiple ordinal logistic regression analy-sis model for both tuberculosis patients and healthy individuals.The results showed that the level of education, veg-etable intake, moderate food diversity score (DDS) of 4-6 were independent influencing factors of nutritional sta-tus BMI among tuberculosis patients (P<0.05);marital status was an independent influencing factor of nutritional status BMI among non-tuberculosis patients (P<0.05);while gender and occupation were independent influencing factors of nutritional status BMI among healthy individuals (P<0.05).Conclusion The dietary nutritional status of the three population groups varied.Targeted health education should be conducted, especially for tuberculosis patients, to address the issue of uneven dietary intake and promote good dietary habits among local tuberculosis pa-tients.


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