1.Potential Mechanism of Zuojinwan in Improving Liver Fibrosis Based on Hepatic Tissue Metabolomics
Yiting JIANG ; Kexin LIU ; Yixi QIAN ; Rui ZHANG ; Feng ZHANG ; Hongyan WU ; Li CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):54-61
ObjectiveThis study aims to elucidate the potential mechanism of Zuojinwan in improving liver fibrosis through hepatic tissue metabolomics analysis. MethodsTwenty-four mice were randomly allocated into normal group, model group , positive drug group (silymarin, 100 mg·kg-1), and Zuojinwan group (Zuojinwan solution, 2.5 g·kg-1), with per group six mice. Liver fibrosis model was induced via intraperitoneal injection of olive oil solution with 10% carbon tetrachloride (CCl4) (0.5 μL·g-1, three times weekly for 8 weeks) in all groups except the normal group. During the final 4 weeks, the silymarin group received silymarin (100 mg·kg-1) by gavage thrice weekly, while the Zuojinwan group was administered Zuojinwan solution (2.5 g·kg-1) under the same regimen. After the last administration, the levels of liver fibrosis indicators and liver injury markers in serum were detected. The pathological morphological changes of the liver tissues were observed. The levels of liver fibrosis markers α-smooth muscle actin (α-SMA) and Collagen Ⅰ(ColⅠ) were detected. Metabolomics was analyzed on mice's liver tissues. The mice's serum was collected for metabolomics analysis. ResultsCompared with the model group, Zuojinwan significantly improved indicators related to liver fibrosis and liver injury. Compared with the normal group, the model group showed significantly elevated levels of fibrosis markers such as laminin (LN), hyaluronic acid (HA), procollagen typeⅢ (PC-Ⅲ), and type Ⅳ Collagen (Ⅳ-C), while liver injury indicators such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), and total bilirubin (TBIL), exhibited a marked upward trend (P<0.05). Compared with the model group, the silymarin group showed a significant decrease in the aforementioned indicators (P<0.05). Notably, compared with the model group, the Zuojinwan group exhibited a significant reduction in all these indicators (P<0.05), with efficacy comparable to that of the silymarin group. Zuojinwan reduced mRNA and protein levels of α-SMA and ColⅠ in the liver tissue. Metabolomics results revealed that compared with the model group, Zuojiinwan significantly reduced levels of glucose metabolism-related metabolites such as D-fructose 1,6-bisphosphate (FBP), nicotinamide adenine dinucleotide phosphate (NADPH), sodium beta-D-fructose 6-phosphate (F6P), dihydroxyacetone phosphate (DHAP), fumaric acid, and D-glucose 6-phosphate (G6P) (P<0.05). Serum enzyme-linked immunosorbent assay (ELISA) was used to detect glucose metabolism indicators and further validate the regulatory effect of Zuojinwan on glucose metabolism. ConclusionThese results suggest that Zuojinwan may improve liver fibrosis by regulating the dysregulated levels of glucose metabolism during the progression of liver fibrosis.
2.The Role of Lysosomal Dysfunction in Hepatocellular Carcinoma: From Pathogenesis to Targeted Therapies
Yue-Yan WU ; Xin CHEN ; Ce-Fan ZHOU ; Jing-Feng TANG ; Rui ZHANG
Progress in Biochemistry and Biophysics 2026;53(3):609-622
Hepatocellular carcinoma (HCC) is a lethal cancer with high morbidity rates worldwide. It is a major threat to public health in China, due to the combination of known and new risk factors, such as endemic hepatitis B virus (HBV), dietary aflatoxin exposure, and the occurrence of metabolic dysfunction-associated steatotic liver disease (MASLD). Although many methods for surveillance and multimodal therapies, such as surgery, local ablation, transarterial therapy, and new systemic agents, have been available, the survival rates of HCC remains poor. They have very limited durable responses, long post-treatment recurrence rates, and high resistance to treatment. This reflects an imperfect picture of the biological cause of the disease and a need for new mechanistic or targeted techniques. A significant characteristic of HCC, in common with other aggressive cancers, is the presence of reprogrammed, hyperactive cell metabolism. Tumor cells hijack metabolic pathways to promote their uncontrolled growth, stress survival, invasion and metastasis. While classical mechanisms such as the Warburg effect, lipid metabolism and glutamine utilization have been understood, the lysosome, which was once viewed as a static “waste disposal unit” to remove old organelles and proteins, is instead a dynamic signaling and metabolic core. The lysosomes incorporate nutrients, energy and stress signals by master regulators such as mTORC1 (activated on its surface) that balance anabolic growth and catabolic recycling to the cellular demands. In HCC, lysosomes are not passive, but are highly active and dysregulated. HCC cells upregulate lysosomes, which scavenge intracellular components via enhanced autophagy and engulf extracellular proteins via macropinocytosis, crucial for survival in the nutrient-poor, hypoxic tumor microenvironment. In addition to metabolism, lysosomes exhibit pro-invasive functions by secreting hydrolases to remodel the extracellular matrix, promote angiogenesis, and suppress stromal immune cells to foster a pro-tumor microenvironment. In a clinical context, lysosomes play an important role in therapeutic resistance: they sequester and inactivate chemotherapeutics via lysosomal sequestration, and enhanced autophagic flux protects the cell from therapy-induced damage, contributing to relapse, as lysosomal dysfunction is a key cause of treatment failure. This makes lysosomes promising yet challenging therapeutic targets in HCC. Recent preclinical and early clinical studies investigate multiple strategies to exploit the susceptibility of lysosomes: lysosome-specific agents, alkalinizing the lysosome lumen or inducing membrane permeabilization and lysosome-dependent cell death; pharmacological inhibition of key lysosomal enzymes or autophagy to impair nutrient recycling and stress adaptation; smart nanotherapeutic agents or antibody-drug conjugates, specifically activated in the acidic lysosomal environment or utilizing lysosomal pathways for efficient intracellular drug release; and combination strategies of lysosome-targeting agents with tyrosine kinase inhibitors or immunotherapy to overcome resistance and achieve synergistic antitumor effects. In summary, our review systematically presents the role of lysosomes in HCC, from metabolic reprogramming and microenvironmental adaptation to therapeutic resistance. By synthesizing the latest mechanistic insights and preclinical advances, this review highlights the indispensable role of lysosomes in the complex HCC biological network, emphasizing that an in-depth understanding of this dynamic organelle holds great promise for developing innovative, targeted therapies, offering new hope for improving the poor prognosis of global HCC patients.
3.Analytical research on processing techniques of Polygoni Multiflori Radix Praeparata based on chemical composition and color changes correlation
YAO Rui ; GUO Hong ; LI Zhe ; GUO Xiaohan ; ZHANG Xiaoshu ; DUAN Baozhong ; YANG Jianbo ; CHEN Jia ; JING Wenguang ; CHENG Xianlong ; WEI Feng
Drug Standards of China 2026;27(1):0100-0108
Objective: To investigate the correlation between the color parameters (L*, a*, b*, Eab* values) of Polygoni Multiflori Radix Praeparata powder prepared by different processing techniques and the contents of 2,3,5,4’-tetrahydroxystilbene-2-O-β-D-glucopyranoside, emodin, physcion, emodin-8-O-β-D-glucopyranoside, physcion-8-O-β-D-glucopyranoside.
Methods: The L*, a*, b* and Eab* values of Polygoni Multiflori Radix Praeparata powder prepared by different processing techniques were determined by spectrophotometer, and the contents of the five components were determined by high performance liquid chromatography. Secondly, SPSS 26.0 software and Simca 14.1 software were used to analyze the correlation.
Results: Through the hierarchical cluster analysis (HCA), it was found that the steamed samples and black bean steamed samples could be obviously divided into two categories: raw products and processed products. The processed products could be further divided into 2-8 h and 12-48 h. Pearson correlation analysis showed that the content of stilbene glycoside was significantly positively correlated with L*, a* and b* values (P<0.01). The a* value was significantly positively correlated with the content of emodin and physcion (P<0.01). Emodin-8-O-β-D-glucoside was positively correlated with L* value and b* value, while physcion-8-O-β-D-glucoside was negatively correlated with a* value. Partial least squares discriminant analysis (PLS) showed that 2,3,5,4’-tetrahydroxystilbene-2-O-β-D-glucoside (VIP=1.69) and emodin-8-O-β-D-glucoside (VIP=1.06) were the key variables affecting chromaticity characteristics (P<0.01).
Conclusion: The three processes of steaming, black bean steaming and black bean stewing are consistent in composition transformation and chromaticity variation, and stilbene glycoside can be used as a specific index component to characterize the processed color. Chromatic parameters can effectively reflect the processing progression and serve as quality monitoring indicators during production.
4.SIRT5 Potentiates Hepatocarcinogenesis by Modulating Protein Acylation in Mice
Yu ZHANG ; Feng-Rui REN ; Jia-Yun LI ; Xiang-Yu CHEN ; Zi-Yi WANG ; Qi SUN ; Jun-Cheng ZHAO ; Ye ZHANG ; Zhen HUANG ; Hao HU ; Tao-Tao WEI ; Min XIAO
Progress in Biochemistry and Biophysics 2026;53(6):1712-1722
ObjectiveHepatocellular carcinoma (HCC) represents 90% of all primary liver cancers. The main risk factors associated with HCC include viral hepatitis (B and/or C), alcohol abuse, and metabolic dysfunction-associated steatotic liver disease (MASLD), which progressively advance to liver fibrosis, cirrhosis, and ultimately evolve into HCC. Surgical resection represents the most effective treatment for HCC, while recent advances in immunotherapy, including immune checkpoint inhibitors and adoptive cell therapies, have provided improved treatment prospects for patients with unresectable HCC. However, the complex metabolic heterogeneity of HCC limits the therapeutic efficacy. Metabolic intermediates acyl-CoA not only provide energy and substrates for numerous biochemical reactions but also serve as donors for protein lysine acylation, a major class of post-translational modification (PTM). Therefore, a deeper understanding of the molecular mechanisms underlying protein lysine acylation and hepatocarcinogenesis is urgently needed. MethodsThe levels of protein lysine acylation and silence information regulator 5 (SIRT5) expression levels in clinical HCC samples were analyzed by Western blot. Quantitative malonylome and succinylome of HCC samples were analyzed by antibody-based affinity enrichment coupled with tandem mass spectrometry. The proliferation of HCC cells was analyzed with Cell Counting Kit-8 (CCK-8) assays, the apoptosis was quantified by Annexin V-FITC/propidium iodide (PI) staining coupled with flow cytometry, and the ability of cells to migrate was assayed by Transwell assays. The enzymatic activity of glutathione S-transferase Mu 1 (GSTM1) was quantified. Transgenic mice with hepatic overexpression of SIRT5 were constructed using CRISPR-Cas9, and primary hepatocarcinogenesis was induced by administration of diethylnitrosamine. ResultsWestern blot analysis indicated that the expression level of SIRT5 was elevated in clinical samples from HCC patients, and the levels of lysine malonylation, glutarylation, and succinylation were significantly reduced in HCC tissues. Knockout of SIRT5 in MHCC-97H and MHCC-97L hepatoma cells suppressed cell proliferation, and increased the percentage of apoptotic cells significantly. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the differentially malonylome and succinylome of HCC samples revealed significant enrichment in two major classes of biological processes: core energy metabolism (e.g., glycolysis/gluconeogenesis, tricarboxylic acid metabolic process, fatty acid beta oxidation) and detoxification and oxidative stress response (e.g., response to toxic substance, chemical carcinogenesis, reactive oxygen species (ROS)). SIRT5 removes malonylation from lysine residues in GSTM1 and restores its detoxification activity, which is crucial for the survival of hepatocytes under stressed conditions. More importantly, in vivo experiment indicated that hepatic-specific overexpression of SIRT5 in mice accelerated diethylnitrosamine-induced liver fibrosis and hepatocarcinogenesis, indicating the critical role of SIRT5 in HCC progression. ConclusionThis study highlights the previously unrecognized SIRT5-GSTM1 axis as a key regulator in hepatocarcinogenesis, and suggests a potential target for the treatment of patients with HCC.
5.Modulation of microglia by traditional Chinese medicine improves post-stroke depression
Qi LI ; Jing GAO ; Ming ZHANG ; Xu ZHANG ; Yachen FENG ; Rui PAN ; Chunxiao WANG ; Qiongdi REN
The Journal of Practical Medicine 2025;41(18):2945-2952
Post-stroke depression(PSD),a common stroke complication characterized by depressed mood and diminished interest,severely affects patients'recovery and quality of life.Microglial abnormal activation and polarization play key roles in PSD pathogenesis,closely associated with neuroinflammation and imbalance in neu-rotransmitter metabolism.In contrast,traditional Chinese medicine(TCM)demonstrates unique multi-target and multi-level mechanisms:regulating microglial function,ameliorating post-stroke neuroinflammatory environments,and promoting neuroplasticity,thereby potentially alleviating PSD symptoms.This review summarizes TCM's effects on microglial activation/polarization states and its therapeutic advances in PSD,providing novel perspectives and strategies for clinical management.
6.Teaching Practice and Exploration of"Tutorial System"Based on The Cultivation of Scientific Research and Innovation Ability of Medical Students
Qiao ZHANG ; Yin-Feng YANG ; Yue-Li NI ; Zhuo-Ran TENG ; Wen-Jing LIU ; Jing WU ; Yan-Rui WU ; Yu DOU ; Ming HE ; Shu-De LI ; Ping GAN ; Fang YUAN ; Zhe YANG ; Xin-Wang YANG
Chinese Journal of Biochemistry and Molecular Biology 2025;41(3):470-480
The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.
7.Transition of body mass index and metabolic syndrome in patients with major depressive disorder
Han QI ; Chengcheng DONG ; Rui LIU ; Xuequan ZHU ; Xuzhou LIN ; Yanshu QIN ; Zibo YU ; Haining WANG ; Lei LI ; Yuan FENG ; Ling ZHANG ; Fang YAN
Journal of Capital Medical University 2025;46(2):202-209
Objective To evaluate the transition rules of normal body mass index(BMI),overweight and metabolic syndrome(MetS)in patients with major depressive disorder(MDD).Methods Patients with MDD who had multiple admission records between Jan 2016 and Nov 2021 in Beijing Anding Hospital,Capital Medical University were included.Based on the overweight and metabolic syndrome status assessed at each admission,the patients were categorized into three states:normal BMI,overweight and metabolic syndrome.A multi-state Markov model was used to analyze the transition intensity and transition frequency between three states and the influence of covariates on transitions.Results A total of 892 records of 398 subjects were included,with a median age of 56 years old and 31.4% males.The median follow-up period was 40 months.The multi-state model showed that there were 494 transitions between the three states,of which 5.1% moved from normal BMI to overweight and 5.5% moved from overweight to MetS.The intensity of transition was the highest from overweight to MetS,9.52 times greater than overweight to normal BMI.After 48.53 months,MDD patients with normal BMI began to transition to MetS.For overweight MDD patients,the transition to MetS started after 8.77 months.MDD patients with normal BMI or overweight had 31.4% and 50.4% probabilities of developing Mets after 36 months.For MDD patients comorbid with MetS,the probability of staying at MetS was 51.2% after 36 months.Multivariate analysis showed that being unmarried was a risk factor against developing overweight in normal BMI MDD patients,while a higher level of education was a protective factor against developing MetS in overweight MDD patients.Conclusion MDD patients exhibited a higher intensity and risk of developing MetS,and it is not easy to reverse MetS,suggesting that BMI management and MetS intervention should be strengthened in MDD patients.
8.Correlation Between Intervertebral Disc Degeneration and Paravertebral Muscle Fat Infiltration in Chronic Low Back Pain via Quantitative MRI
Rui JIANG ; Min LUO ; Futing FENG ; Lusi LIU ; Meining CHEN ; Qin ZHANG
Chinese Journal of Medical Imaging 2025;33(3):326-330
Purpose To investigate the correlation between intervertebral disc degeneration and paraspinal muscle fatty infiltration in chronic low back pain(CLBP)using quantitative MRI techniques.Materials and Methods A total of 63 CLBP patients and 42 volunteers in Zigong Fourth People's Hospital from September 2023 to March 2024 were retrospectively collected.Magnetic resonance scans were performed using multi-echo water-fat separation technique and T2 mapping technique.Intervertebral disc degeneration was assessed using the Pfirrmann grading,while paraspinal muscle fatty infiltration was evaluated using the Goutallier grading.Proton density fat fraction(PDFF)of the multifidus and erector spinae muscles,and T2 values of the nucleus pulposus were quantitatively measured.The relationships between these parameters and their associations with age and gender were analyzed.Results Compared with healthy volunteers,CLBP patients showed significantly reduced T2 values of the nucleus pulposusand significantly increased PDFF of the paraspinal muscles(Z=-5.54-4.65,all P<0.001).The Pfirrmann grading of intervertebral discs and the Goutallier grading of paraspinal muscles were significantly correlated with the T2 value of the nucleus pulposus and the PDFF of the paraspinal muscles(|r|>0.4,P<0.05).Age and Pfirrmann grading were independent predictors of paraspinal muscle fat infiltration(β=0.228-5.682,all P<0.001),and gender was also an independent predictor at the L4/5 intervertebral disc level(β=-2.834,-3.352,both P<0.05).Conclusion Intervertebral disc degeneration and paraspinal muscle fat infiltration are closely related in CLBP,age and gender also have an impact.
9.Comparison of chemical constituents in traditional decoction and formula granule decoction of Wendan Decoction
Tan XUE ; Man-wen XU ; Xue-hua FAN ; Feng-yu DONG ; Yan MIAO ; Jia-ning SUN ; Jun-han SHI ; Lu ZHANG ; Jing YAO ; Rui-xin LIU
Chinese Traditional Patent Medicine 2025;47(2):384-394
AIM To compare the chemical constituents in traditional decoction and formula granule decoction of classical famous prescription Wendan Decoction.METHODS The HPLC fingerprints were established,after which the contents of adenosine,synephrine,liquiritin,naringin,hesperidin,6-gingerol and adenosine cyclophosphate were determined,cluster analysis,principal component analysis and multidimensional scaling analysis were adopted in the investigation of component differences,and the equivalent of formula granules was adjusted.RESULTS The similarities of HPLC fingerprints for 10 batches of traditional decoctions were higher than those of HPLC fingerprints for 9 batches of formula granule decoctions(P<0.01).Adenosine,synephrine,liquiritin,hesperidin and cyclic adenosine monophosphate demonstrated higher contents in traditional decoctions than those in formula granule decoctions(P<0.05),6-gingerol displayed lower content than that in the latter produced by manufacturers A,C(P<0.05),which was higher than that in the latter produced by manufacturer B(P<0.01).Various batches of traditional decoctions and formula granule decoctions could be obviously distinguished,adenosine,synephrine and hesperidin exhibited great influences on the classification of principal component analysis,and the quality of formula granule decoctions produced by manufacturer C was closer to that of traditional decoctions.After equivalent correction,the contents of various constituents in formula granule decoctions produced by manufacturers A,C showed no significant differences as compared with those in traditional decoction(P>0.05).CONCLUSION The formula granules of Wendan Decoction from different manufacturers exist quality differences,so the preparation process and extraction process of this preparation should be optimized to improve quality,and equivalent ratio should be adjusted according to actual requirements to ensure its scientific and rational clinical application.
10.Establishment and validation of predictive model for children with pneumonia complicated with sepsis
Chinese Journal of Postgraduates of Medicine 2025;48(2):150-153
Objective:To establish and validate a predictive model for children with pneumonia complicated with sepsis.Methods:The clinical data of 45 children with pneumonia complicated with sepsis(observation group) and 45 children with simple pneumonia (control group) who were treated at the Xuzhou Children′s Hospital, Xuzhou Medical University from January 2019 to November 2022 were retrospectively selected. The clinical characteristics of the two groups were compared. Multivariate Logistic regression analysis was used to screen the risk factors of pneumonia complicated with sepsis. The predictive model was established and verified by R4.0.3 statistical software, and the predictive value of the predictive model for pediatric pneumonia complicated with sepsis was analyzed by the receiver operating characteristic (ROC) curve.Results:The levels of procalcitonin, pediatric critical case score (PCIS) in the observation group were lower than those in the control group: (70.20 ± 0.30) ng/L vs. (51.70 ± 0.26) ng/L, (71.73 ± 14.29) scores vs. (83.42 ± 7.78) scores, and the ratio of pathological type of lobular pneumonia, acidosis, and electrolyte metabolism disorder in the observation group were higher than those in the control group: 42.22%(19/45) vs. 13.33%(6/45), 62.22%(28/45) vs. 26.67%(12/45), 53.33%(24/45) vs. 17.78%(8/45), there were statistical differences ( P<0.05). The results of multivariate Logistic regression analysis showed that PCIS, acidosis, and electrolyte metabolism disorder were independent risk factors of pneumonia complicated with sepsis in children ( P<0.05). The nomogram, clinical decision curve, correction curve, and ROC curve were made, the area under the curve (AUC) of the training set was 0.863 (95% CI 0.756 - 0.971), and the AUC of the validation set was 0.862 (95% CI 0.753 - 0.971). Hosmer-Lemeshow Goodness-of-Fit Test was performed on the model in the validation set, χ2 = 9.50, P = 0.302, indicated that the model had good clinical value and reliability in predicting pneumonia complicated with sepsis in children. Conclusions:The prediction model can identify high-risk children with pneumonia complicated sepsis early, which may have potential significance for the next step of prevention and treatment.

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