1.Current status of research on the mechanism of action of emodin in the prevention and treatment of chronic liver diseases
Yajie CHEN ; Xin WANG ; Yunjuan WU ; Ying SU ; Yuhan WANG ; Jinxue ZHANG ; Ning YAO ; Ying QIN ; Xiaoning ZUO
Journal of Clinical Hepatology 2026;42(1):228-234
Chronic liver diseases are a group of diseases in which the liver is subjected to a variety of injuries over a long period of time, resulting in irreversible pathological changes that last longer than 6 months. Emodin (EMO) is a natural anthraquinone derivative derived from Rheum officinale, and its pharmacological effect has been extensively studied, exhibiting a variety of biological properties and involving multiple signaling molecules and pathways. Western medicine or surgical treatment is currently the main treatment regimen for chronic liver diseases, and the advance in treatment is limited by various reasons such as side effects and high costs. Due to its natural origin and efficacy, EMO has unique advantages in the treatment of chronic liver diseases and has now become a research hotspot. This article summarizes the therapeutic effect of EMO on chronic liver diseases and its mechanism, in order to provide a certain scientific basis for the traditional Chinese medicine treatment of chronic liver diseases and the development of drugs in clinical practice.
2.Correlation between differences in starch gelatinization, water distribution, and terpenoid content during steaming process of Curcuma kwangsiensis root tubers by multivariate statistical analysis.
Yan LIANG ; Meng-Na YANG ; Xiao-Li QIN ; Zhi-Yong ZHANG ; Zhong-Nan SU ; Hou-Kang CAO ; Ke-Feng ZHANG ; Ming-Wei WANG ; Bo LI ; Shuo LI
China Journal of Chinese Materia Medica 2025;50(10):2684-2694
To elucidate the mechanism by which steaming affects the quality of Curcuma kwangsiensis root tubers, methods such as LSCM, RVA, dual-wavelength spectrophotometry, LF-NMR, and LC-MS were employed to qualitatively and quantitatively detect changes in starch gelatinization characteristics, water distribution, and material composition of C. kwangsiensis root tubers under different steaming durations. Based on multivariate statistical analysis, the correlation between differences in gelatinization parameters, water distribution, and terpenoid material composition was investigated. The results indicate that steaming affects both starch gelatinization and water distribution in C. kwangsiensis. During the steaming process, transformations occur between amylose and amylopectin, as well as between semi-bound water and free water. After 60 min of steaming, starch gelatinization and water distribution reached an equilibrium state. The content of amylopectin, the amylose-to-amylopectin ratio, and parameters such as gelatinization temperature, viscosity, breakdown value, and setback value were significantly correlated(P≤0.05). Additionally, the amylose-to-amylopectin ratio was significantly correlated with total free water and total water content(P≤0.05). Steaming induced differences in the material composition of C. kwangsiensis root tubers. Clustering of primary metabolites in the OPLS-DA model was distinct, while secondary metabolites were classified into 9 clusters using the K-means clustering algorithm. Differential terpenoid metabolites such as(-)-α-curcumene were significantly correlated with zerumbone, retinal, and all-trans-retinoic acid(P<0.05). Curcumenol was significantly correlated with isoalantolactone and ursolic acid(P<0.05), while all-trans-retinoic acid was significantly correlated with both zerumbone and retinal(P<0.05). Alpha-tocotrienol exhibited a significant correlation with retinal and all-trans-retinoic acid(P<0.05). Amylose was extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and α-tocotrienol(P<0.05). Amylopectin was significantly correlated with zerumbone(P<0.05) and extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and 9-cis-retinoic acid(P<0.01). The results provide scientific evidence for elucidating the mechanism of quality formation of steamed C. kwangsiensis root tubers as a medicinal material.
Curcuma/chemistry*
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Starch/chemistry*
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Multivariate Analysis
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Water/chemistry*
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Terpenes/analysis*
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Plant Roots/chemistry*
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Plant Tubers/chemistry*
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Drugs, Chinese Herbal/chemistry*
3.Effect and mechanism of Xintong Granules in ameliorating myocardial ischemia-reperfusion injury in rats by regulating gut microbiota.
Yun-Jia WANG ; Ji-Dong ZHOU ; Qiu-Yu SU ; Jing-Chun YAO ; Rui-Qiang SU ; Guo-Fei QIN ; Gui-Min ZHANG ; Hong-Bao LIANG ; Shuai FENG ; Jia-Cheng ZHANG
China Journal of Chinese Materia Medica 2025;50(14):4003-4014
This study investigates the mechanism by which Xintong Granules improve myocardial ischemia-reperfusion injury(MIRI) through the regulation of gut microbiota and their metabolites, specifically short-chain fatty acids(SCFAs). Rats were randomly divided based on body weight into the sham operation group, model group, low-dose Xintong Granules group(1.43 g·kg~(-1)·d~(-1)), medium-dose Xintong Granules group(2.86 g·kg~(-1)·d~(-1)), high-dose Xintong Granules group(5.72 g·kg~(-1)·d~(-1)), and metoprolol group(10 mg·kg~(-1)·d~(-1)). After 14 days of pre-administration, the MIRI rat model was established by ligating the left anterior descending coronary artery. The myocardial infarction area was assessed using the 2,3,5-triphenyltetrazolium chloride(TTC) staining method. Apoptosis in tissue cells was detected by the terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling(TUNEL) assay. Pathological changes in myocardial cells and colonic tissue were observed using hematoxylin-eosin(HE) staining. The levels of tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), interleukin-6(IL-6), creatine kinase MB isoenzyme(CK-MB), and cardiac troponin T(cTnT) in rat serum were quantitatively measured using enzyme-linked immunosorbent assay(ELISA) kits. The activities of lactate dehydrogenase(LDH), creatine kinase(CK), and superoxide dismutase(SOD) in myocardial tissue, as well as the level of malondialdehyde(MDA), were determined using colorimetric assays. Gut microbiota composition was analyzed by 16S rDNA sequencing, and fecal SCFAs were quantified using gas chromatography-mass spectrometry(GC-MS). The results show that Xintong Granules significantly reduced the myocardial infarction area, suppressed cardiomyocyte apoptosis, and decreased serum levels of pro-inflammatory cytokines(TNF-α, IL-1β, and IL-6), myocardial injury markers(CK-MB, cTnT, LDH, and CK), and oxidative stress marker MDA. Additionally, Xintong Granules significantly improved intestinal inflammation in MIRI rats, regulated gut microbiota composition and diversity, and increased the levels of SCFAs(acetate, propionate, isobutyrate, etc.). In summary, Xintong Granules effectively alleviate MIRI symptoms. This study preliminarily confirms that Xintong Granules exert their inhibitory effects on MIRI by regulating gut microbiota imbalance and increasing SCFA levels.
Animals
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Gastrointestinal Microbiome/drug effects*
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Rats
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Male
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Myocardial Reperfusion Injury/genetics*
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Drugs, Chinese Herbal/administration & dosage*
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Rats, Sprague-Dawley
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Apoptosis/drug effects*
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Humans
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Tumor Necrosis Factor-alpha/metabolism*
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Interleukin-6/genetics*
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Malondialdehyde/metabolism*
4.Research progress in machine learning in processing and quality evaluation of traditional Chinese medicine decoction pieces.
Han-Wen ZHANG ; Yue-E LI ; Jia-Wei YU ; Qiang GUO ; Ming-Xuan LI ; Yu LI ; Xi MEI ; Lin LI ; Lian-Lin SU ; Chun-Qin MAO ; De JI ; Tu-Lin LU
China Journal of Chinese Materia Medica 2025;50(13):3605-3614
Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning
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Drugs, Chinese Herbal/standards*
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Quality Control
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Medicine, Chinese Traditional/standards*
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Humans
5.Mycobacterium tuberculosis Rv3641c inhibits macrophage type Ⅰ interferon responses and promotes intracellular survival in macrophages
Wen JIN ; Min GENG ; Su-jie HU ; Xin-yang ZHANG ; Wen-qin LI ; Cheng-kun ZHENG ; Xin-an JIAO ; Xiang CHEN ; Zheng-zhong XU
Chinese Journal of Zoonoses 2025;41(4):385-391
This study was aimed at investigating the immunoregulatory function of Mycobacterium tuberculosis Rv3641c gene in modulating host type Ⅰ interferon responses.The shuttle plasmid pMV261 was used to construct Rv3641c overexpression recombinant Mycobacterium smegmatis,and the biological characteristics of the recombinant bacteria were analyzed to explore the effect of Rv3641c on the growth curve,colony morphology and stress resistance of Mycobacterium.Subsequently,RAW264.7 cells were infected with Rv3641c overexpressing Mycobacterium smegmatis,and the transcriptional expression of genes related to the inhibition of type I inter-feron pathway was determined by RT-PCR.The expression level of IFN-βprotein was determined by ELISA,and the intracellular sur-vival level was determined.As a result,the recombinant rMS::pMV261-Rv3641c was successfully constructed.The results of biologi-cal characteristics analysis showed that Rv3641c did not affect the growth of mycobacteria,but significantly changed the colony mor-phology of mycobacteria and improved its resistance to H2O2.The results of recombinant bacteria infection experiments showed that Rv3641c significantly down-regulated the transcription levels of IFN-α,IFN-βand downstream ISGs genes CXCL10,IFIT2 and IL-1β in host cells,and Rv3641c significantly down-regulated the transcription levels of IFN-α,IFN-βand downstream ISGs genes CXCL10,IFIT2 and IL-1βin host cells.The results of intracellular colonization experiments showed that the intracellular mycobacte-ria in the overexpression recombinant bacteria infection group were significantly higher than those in the empty vector group,indicat-ing that Rv3641c could promote the intracellular surviv al of mycobacteria.In summary,the Rv3641c gene of M.tuberculosis can inhibit the host type I interferon response and promote the intracellular survival of M.tuberculosis,which provides a new idea for further explor-ing the immune escape function of M.tuberculosis and the discovery of new targets for anti-tuberculosis drugs.
6.Genetic evolution,drug resistance,and biofilm formation capacity of E.coli O157:H7 from different animal sources in Xinjiang
Yan WANG ; Ling ZHANG ; Yifan LIU ; Wanpeng MA ; Tian QIN ; Wei WANG ; Zhanqiang SU
Chinese Journal of Veterinary Science 2025;45(4):685-692
Different animals in Xinjiang carry Escherichia coli O157:H7(E.coli O157:H7),but the connection between these strains is not clear.This study aims to understand the evolutionary sub-group of E.coli O157:H7,the distribution of the dominant genetic lineage,the biofilm formation ability,the carriage of mobile genetic elements and their drug resistance profile.E.coli O157:H7 was identified by PCR.Multilocus sequence typing(MLST)protocol was used for E.coli O157 to detect ST type,plasmid replicon and integron genes.Biofilm formation ability was determined by crystal violet microplate,and Kirby-Bauer was used to detect drug resistance.The results showed that 46.7%(7/15)of E.coli O157:H7 belongs to Group A,53.3%(8/15)of E.coli O157:H7 be-longs to Group E.Sheep source were mainly prevalent in Group A(4/6).Cattle sources are mainly Group E(6/7).A total of six ST types were detected:ST11(8/15),ST-206(1/15),ST-6126(3/15),ST-1640(1/15),ST-178(1/15),ST-4550(1/15).Two strains had a moderate biofilm-form-ing capacity,two strains had a weak biofilm-forming capacity,10 strains have no biofilm-forming capacity.All were multidrug-resistant strains,with complete resistance to lincomycin,oxacillin,clindamycin,vancomycin,midemycin and cefthiophene,and 88%-94%resistance to poly-myxin B,ampicillin,penicillin G and erythromycin,they are highly drug resistant.The five resist-ance genes detected were acrA(66.66%,10/15),tolC(73.33%,11/15),qurS(13.33%,2/15),floR and qurA(6.67%,1/15).Four plasm id replicons were detected,they were IncP(66.66%,10/15),IncFrepB(86.67%,13/15),IncFIA(6.67%,1/15),IncFIB(66.66%,10/15).Two class Ⅰ integrons were detected and they were ISCR1(33.33%,5/15),ISECP1(20%,3/15).The re-sults showed that E.coli O157:H7 in Xinjiang was predominantly prevalent in Group A and Group E.Sheep sources were predominantly prevalent in Group A,and cattle sources were predominantly prevalent in Group E.The ST types were widely distributed,with ST11 types being the predomi-nant type,the biofilm-forming ability was weak,and the resistance was strong,all of them were multi-drug-resistant strains,and the resistance genes were mainly externally excreted from the pumps,and the resistance genes had more spreading elements.
7.Fasudil alleviates beta-amyloid 1-42-induced apoptosis of SH-SY5Y cells
Minfang GUO ; Huiyu ZHANG ; Peijun ZHANG ; Qin SU ; Siwei JIA ; Jiezhong YU
Chinese Journal of Tissue Engineering Research 2025;29(23):4939-4946
BACKGROUND:Fasudil has a regulatory effect on mitochondrial dynamics in the brain of Alzheimer's disease mice and can inhibit neuroinflammation,but whether it can reduce the toxicity of β-amyloid protein by regulating mitophagy-NLRP3 inflammasome pathway remains unclear.OBJECTIVE:To investigate the regulatory effect of fasudil on β-amyloid 1-42-induced apoptosis and mitophagy and NLRP3 inflammasome in human derived neuroblastoma cell line SH-SY5Y cells.METHODS:SH-SY5Y cells were inoculated into the pore plate.After adhesion,cells were divided into three groups for intervention:No drug was added to the control group;20 μmol/L β-amyloid 1-42 was added to the model group,and 20 μmol/L β-amyloid 1-42 and 15 mg/L fasudil were added to the fasudil group at the same time.After 24 hours of intervention,the cell activity was detected by MTT assay and apoptosis was detected by TUNEL staining.The expression of apoptosis-related proteins was detected by qRT-PCR and western blot assay.The expression of mitochondrial autophagy related proteins was detected by immunofluorescence staining and western blot assay.The expression of NLRP3 inflammasome related proteins was detected by immunofluorescence staining and western blot assay.RESULTS AND CONCLUSION:(1)Compared with control group,the cell activity of the model group was decreased and the apoptosis rate was increased(P<0.05).Compared with model group,cell activity in the fasudil group was increased and apoptosis rate was decreased(P<0.05).(2)The results of qRT-PCR and western blot assay showed that compared with the control group,the expression of Bax mRNA and protein was increased in the model group(P<0.05),while the expression of Bcl-2 mRNA and protein was decreased(P<0.05).Compared with the model group,the expression of Bax mRNA and protein was decreased(P<0.05),and the expression of Bcl-2 mRNA and protein was increased(P<0.05)in the fasudil group.(3)The results of immunofluorescence staining and western blot assay showed that compared with the control group,the expressions of PINK1,Parkinson's disease protein and LC3 protein were decreased(P<0.05),while the expression of p62 protein was increased(P<0.05)in the model group.Compared with model group,the expression levels of PINK1,Parkinson's disease protein,and LC3 protein were increased(P<0.05),while the expression of p62 protein was decreased(P<0.05)in the fasudil group.(4)The results of immunofluorescence staining and western blot assay showed that compared with the control group,the expression levels of NLRP3,ASC,Caspase-1,and interleukin1β protein were increased in the model group(P<0.05).Compared with the model group,the expression levels of NLRP3,ASC,Caspase-1,and interleukin1β were decreased in the fasudil group(P<0.05).(5)The results show that fasudil can reduce the apoptosis of SH-SY5Y cells induced by β-amyloid 1-42,and its mechanism may be related to the activation of mitophagy and the inhibition of NLRP3 inflammasome activation.
8.Interaction between renal function and body mass index on all-cause mortality risk in patients with type 2 diabetes mellitus in communities in Jiangsu Province
Mengxia LI ; Jialiu HE ; Hao YU ; Xikang FAN ; Jie YANG ; Yu QIN ; Chong SHEN ; Yan LU ; Enchun? PAN ; Ran TAO ; Yongqing ZHANG ; Jian SU
Chinese Journal of Epidemiology 2025;46(1):50-56
Objective:To investigate the association of the interaction and combined effect of renal function and body mass index (BMI) with the risk for all-cause death in patients with type 2 diabetes mellitus (T2DM) in communities of Jiangsu Province.Methods:The study subjects were from the Comprehensive Research Project of Diabetes Prevention and Control conducted in Jiangsu from December 2013 to January 2014, and follow up was conducted for them until September 30, 2023. A total of 20 025 subjects were included in the study. Cox proportional hazards regression model was used to analyze the association of renal function with risk for death in T2DM patients, and the association of interaction between renal function and BMI and their combined effect with all-cause death risk in T2DM patients.Results:In the follow up for 198 370 person-years, a total of 4 459 deaths were recorded. Cox proportional hazards regression model analysis showed that renal dysfunction was associated with 71% risk of all-cause mortality in all T2DM patients [hazard ratio ( HR) =1.71, 95% CI: 1.59-1.84], as well as in all BMI subgroups. Likelihood ratio test indicated an interaction between renal function and BMI (interaction for P=0.030). Compared with patients with normal renal function and normal BMI, those with normal renal function and over weight or obesity had a lower risk of all-cause mortality, and those with renal dysfunction and low weight had the highest risk for death ( HR=2.78, 95% CI: 1.87-4.14). Conclusions:There is association of interaction between renal function and BMI with all-cause mortality in T2DM patients. T2DM patients with renal dysfunction and low body weight had significant higher risk for death.
9.Study of adsorption of coated aldehyde oxy-starch on the indexes of renal failure
Qian WU ; Cai-fen WANG ; Ning-ning PENG ; Qin NIE ; Tian-fu LI ; Jian-yu LIU ; Xiang-yi SONG ; Jian LIU ; Su-ping WU ; Ji-wen ZHANG ; Li-xin SUN
Acta Pharmaceutica Sinica 2025;60(2):498-505
The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure
10.Development of a nomogram-based risk prediction model for chronic obstructive pulmonary disease incidence in community-dwelling population aged 40 years and above in Shanghai
Yixuan ZHANG ; Yiling WU ; Jinxin ZANG ; Xuyan SU ; Xin YIN ; Jing LI ; Wei LUO ; Minjun YU ; Wei WANG ; Qi ZHAO ; Qin WANG ; Genming ZHAO ; Yonggen JIANG ; Na WANG
Shanghai Journal of Preventive Medicine 2025;37(8):669-675
ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

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