1.Effects of serum containing Sanchong tongluo sanjie formula on the proliferation and apoptosis of Lewis lung cancer cells and its mechanism
Yang LI ; Lei CHEN ; Qiachun ZHANG ; Jing ZHANG ; Jingyu FENG ; Qi LIANG
China Pharmacy 2025;36(4):440-446
OBJECTIVE To study the effects of Sanchong tongluo sanjie formula on the proliferation and apoptosis of Lewis lung cancer cells. METHODS The rats were given Sanchong tongluo sanjie formula powder [0.946 g/(kg·d)], Sanchong tongluo sanjie formula decoction [2.730 g/(kg·d)], and normal saline intragastrically, and injected with Cisplatin injection (4.2 mg/kg) intra-peritoneally to prepare powder-containing serum, decoction-containing serum, positive control serum and negative control serum. Lewis lung cancer cells were divided into negative control serum group, positive control serum group, and 5%, 10%, 20% drug-containing serum groups. The cell proliferation inhibition rates at 24, 48, and 72 hours post- intervention were measured to screen the optimal intervention concentrations of powder-containing serum and decoction-containing serum. The cell invasion ability, metastasis ability and apoptotic rate were detected in the negative control serum group, positive control serum group, 20% powder-containing serum group, and 20% decoction-containing serum group. Protein expressions of vascular endothelial growth factor (VEGF), hypoxia-inducible factor-1α (HIF-1α), prolyl hydroxylase-2 (PHD2), matrix metalloproteinase-2 (MMP-2), extracellular regulated protein kinases (ERK),c-Jun N-terminal kinase (JNK) and p38 mitogen-activated protein kinase (p38 MAPK) were detected. RESULTS The cell proliferation inhibition rates for both the 20% powder-containing serum group and the 20% decoction-containing serum group, when intervened for 48 hours, were not less than 50%. Compared with negative control serum group, the number of invasive Lewis lung cancer cells and migration distance were decreased significantly, while the apoptotic rate was increased significantly (P<0.05); the apoptotic rate in the 20% powder- containing serum group was significantly higher than 20% decoction-containing serum group (P<0.05). The protein expressions of PHD2 and p38 MAPK were increased significantly in the 20% powder-containing serum group (P<0.05), while the protein expression of HIF-1α was decreased significantly in the 20% decoction-containing serum group (P<0.05). CONCLUSIONS Sanchong tongluo sanjie formula can inhibit the proliferation, invasion and metastasis of Lewis lung cancer cells while promoting their apoptosis. The mechanism of action may be related to regulating the PHD2/HIF-1α signaling pathway. Furthermore, the powder demonstrates superior efficacy compared to the decoction, suggesting that they may possess different mechanisms of action.
2.Thoughts of Syndrome Differentiation and Treatment and Effect Mechanism of Haoqin Qingdantang in Treating Viral Pneumonia Based on Theory of Treating Different Diseases with Same Therapy
Xin PENG ; Haotian XU ; Lei LIANG ; Zheyu LUAN ; Hanxiao WANG ; Yihao ZHANG ; Kun YANG ; Jihong FENG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(8):209-217
The principle of treating different diseases with the same therapy is the essence of syndrome differentiation and treatment in traditional Chinese medicine (TCM). It means that when the same pathogenic changes or the same symptoms appear in the development of different diseases, the same principles or methods can be used for treatment. Due to the complexity and high variability of viral pathogenicity, the precise and effective treatment of different types of viral pneumonia (VP) has always been a research focus and difficulty in modern medicine. VP belongs to the category of external-contraction febrile disease, warm disease, and epidemic in TCM. Haoqin Qingdantang (HQQDD) is a representative formula for clearing heat and dispelling dampness in warm diseases, and its intervention in VP caused by various viral infections has significant effects. This study, guided by the theory of treating different diseases with the same therapy, links the related studies on using HQQDD to treat different types of VP and finds that influenza virus pneumonia (IVP), severe acute respiratory syndrome (SARS), and COVID-19 all have a common pathogenic mechanism of dampness-heat at different stages of respective diseases. When these diseases are dominated by damp-heat factors, the use of HQQDD yields remarkable therapeutic effects. Modern pharmacological studies have confirmed that HQQDD can inhibit virus replication, reduce fever reactions, inhibit the expression of inflammatory mediators, and regulate immune balance. Moreover, the sovereign medicine in this formula has excellent antiviral activity, and the formula reflects rich scientific connotations of treating VP. According to the theory of treating different diseases with the same therapy and based on the effective treatment practice and modern pharmacological research of HQQDD for different types of VP, this paper mines the underlying TCM theory of treatment with the same therapy, explores the syndrome differentiation and treatment strategy and effect mechanism of this formula for different types of VP, and analyzes the treatment mechanism and characteristics, with the aim of providing evidence and reference for the clinical application and modern research of HQQDD.
3.Clinical Prediction Models Based on Traditional Methods and Machine Learning for Predicting First Stroke: Status and Prospects
Zijiao ZHANG ; Shunjing DING ; Di ZHAO ; Jun LIANG ; Jianbo LEI
Medical Journal of Peking Union Medical College Hospital 2025;16(2):292-299
Stroke ranks as the third leading cause of death and the fourth leading cause of disability worldwide. Its high disability rate and prolonged recovery period not only severely impact patients' quality of life but also impose a significant burden on families and society. Primary prevention is the cornerstone of stroke control, as early intervention on risk factors can effectively reduce its incidence. Therefore, the development of predictive models for first-ever stroke risk holds substantial clinical value. In recent years, advancements in big data and artificial intelligence technologies have opened new avenues for stroke risk prediction. This article reviews the current research status of traditional methods and machine learning models in predicting first-ever stroke risk and outlines future development trends from three perspectives: First, emphasis should be placed on technological innovation by incorporating advanced algorithms such as deep learning and large models to further enhance the accuracy of predictive models. Second, there is a need to diversify data types and optimize model architectures to construct more comprehensive and precise predictive models. Lastly, particular attention should be given to the clinical validation of models in real-world settings. This not only enhances the robustness and generalizability of the models but also promotes physicians' understanding of predictive models, which is crucial for their application and dissemination.
4.Research on hepatitis E virus antigen screening among voluntary blood donors
Li ZHANG ; Xuelian DENG ; Lei ZHOU ; Dan LIU ; Liang ZANG
Chinese Journal of Blood Transfusion 2025;38(8):1083-1088
Objective: To investigate prevalence of hepatitis E virus (HEV) infection among voluntary blood donors in Dalian and provide evidence for enhancing blood screening strategies. Methods: A total of 3 277 blood donor samples collected between December 2023 and February 2024 at Dalian Blood Center underwent routine blood screening (ALT, HBsAg, anti-HCV, HIV Ag/Ab, anti-TP, and HBV/HCV/HIV NAT). Subsequently, HEV antigen (Ag) was detected using chemiluminescence immunoassay (CLIA). HEV-Ag reactive samples were further tested for HEV RNA, IgM and IgG antibodies. Blood donors with repeated reactive HEV Ag results were followed up to clarify the status of infection. Results: Among the 3 277 blood donor samples, 6 (0.18%) were repeatedly reactive for HEV Ag. However, supplemental testing for HEV RNA, anti-HEV IgM, and anti-HEV IgG on these samples yielded non-reactive results. One of these six blood donors was successfully followed up. On day 218 after the initial detection of HEV Ag reactivity, HEV Ag, HEV RNA, HEV IgM and IgG antibody were found to be non-reactive. Conclusion: The reaction rate for HEV antigen screening among voluntary blood donors in Dalian is low. CLIA method for detecting HEV antigen is easy to operate and cost-effective, but demonstrates some false reactivity. Improving the specificity of the assay and combining it with nucleic acid testing (NAT) would be valuable for implementing a selective HEV screening strategy for blood donors.
5.Thermo-electroacupuncture at yaosanzhen for chronic lumbar muscle strain of cold dampness: a randomized controlled trial.
Mengzhong LI ; Jianguo ZHANG ; Wenjie LIANG ; Wenjie BAI ; Xiaoping LEI
Chinese Acupuncture & Moxibustion 2025;45(10):1421-1426
OBJECTIVE:
To compare the clinical efficacy between thermo-electroacupuncture at yaosanzhen and oral celecoxib in the treatment of chronic lumbar muscle strain with cold dampness.
METHODS:
A total of 80 patients with chronic lumbar muscle strain of cold dampness were randomly divided into an observation group (40 cases, 1 case dropped out) and a control group (40 cases, 2 cases were excluded). The observation group was treated with thermo-electroacupuncture at yaosanzhen (bilateral Shenshu [BL23], Dachangshu [BL25], Weizhong [BL40]), disperse-dense wave was selected, with a pulse cycle of 0.08 s, current intensity of 1-3 mA, with needles heated to approximately 45 ℃, the duration was 25 min per session, once a day. The control group was given oral celecoxib capsules, once daily, 200 mg each time. Six sessions as one course, with a 1-day interval between courses, 2 courses were required in both groups. The TCM syndrome score, visual analogue scale (VAS) score, Oswestry disability index (ODI) score, and Japanese Orthopedic Association (JOA) score before and after treatment in both groups were compared. The serum levels of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), thromboxane B2 (TXB2) and C-reactive protein (CRP) were detected using ELISA method before and after treatment in both groups. The clinical efficacy was evaluated in both groups after treatment.
RESULTS:
After treatment, the TCM syndrome scores, VAS scores, ODI scores and serum levels of TNF-α, IL-6, TXB2, CRP in both groups were reduced compared with those before treatment (P<0.01), while the JOA scores were increased (P<0.01);the TCM syndrome score, VAS score, ODI score and serum levels of TNF-α, IL-6, TXB2, CRP in the observation group were lower than those in the control group (P<0.01, P<0.05), and the JOA score was higher than that in the control group (P<0.01). The total effective rate of the observation group was 92.3% (36/39), which was superior to 78.9% (30/38) in the control group (P<0.05).
CONCLUSION
Thermo-electroacupuncture at yaosanzhen can alleviate pain symptom in patients with chronic lumbar muscle strain of cold dampness, regulate lumbar function, reduce the levels of inflammatory factors, and the therapeutic effect is superior to oral celecoxib.
Humans
;
Male
;
Female
;
Middle Aged
;
Adult
;
Electroacupuncture
;
Acupuncture Points
;
Sprains and Strains/genetics*
;
Cold Temperature
;
Tumor Necrosis Factor-alpha/blood*
;
Interleukin-6/blood*
;
Aged
;
Treatment Outcome
;
Young Adult
;
C-Reactive Protein/metabolism*
;
Chronic Disease/therapy*
;
Lumbosacral Region/physiopathology*
6.Tumor immune dysfunction and exclusion evaluation and chemoimmunotherapy response prediction in lung adenocarcinoma using pathomic-based approach.
Wei NIE ; Liang ZHENG ; Yinchen SHEN ; Yao ZHANG ; Haohua TENG ; Runbo ZHONG ; Lei CHENG ; Guangyu TAO ; Baohui HAN ; Tianqing CHU ; Hua ZHONG ; Xueyan ZHANG
Chinese Medical Journal 2025;138(3):346-348
7.Medication rules of Astragali Radix in ancient Chinese medical books based on "disease-medicine-dose" pattern.
Jia-Lei CAO ; Lü-Yuan LIANG ; Yi-Hang LIU ; Zi-Ming XU ; Xuan WANG ; Wen-Xi WEI ; He-Jia WAN ; Xing-Hang LYU ; Wei-Xiao LI ; Yu-Xin ZHANG ; Bing-Qi WEI ; Xian-Qing REN
China Journal of Chinese Materia Medica 2025;50(3):798-811
This study employed the "disease-medicine-dose" pattern to mine the medication rules of traditional Chinese medicine(TCM) prescriptions containing Astragali Radix in ancient Chinese medical books, aiming to provide a scientific basis for the clinical application of Astragali Radix and the development of new medicines. The TCM prescriptions containing Astragali Radix were retrieved from databases such as Chinese Medical Dictionary and imported into Excel 2020 to construct the prescription library. Statical analysis were performed for the prescriptions regarding the indications, syndromes, medicine use frequency, herb effects, nature and taste, meridian tropism, dosage forms, and dose. SPSS statistics 26.0 and IBM SPSS Modeler 18.0 were used for association rules analysis and cluster analysis. A total of 2 297 prescriptions containing Astragali Radix were collected, involving 233 indications, among which sore and ulcer, consumptive disease, sweating disorder, and apoplexy had high frequency(>25), and their syndromes were mainly Qi and blood deficiency, Qi and blood deficiency, Yin and Yang deficiency, and Qi deficiency and collateral obstruction, respectively. In the prescriptions, 98 medicines were used with the frequency >25 and they mainly included Qi-tonifying medicines and blood-tonifying medicines. Glycyrrhizae Radix et Rhizoma, Angelicae Sinensis Radix, Ginseng Radix et Rhizoma, Atractylodis Macrocephalae Rhizoma, and Citri Reticulatae Pericarpium were frequently used. The medicines with high frequency mainly have warm or cold nature, and sweet, pungent, or bitter taste, with tropism to spleen, lung, heart, liver, and kidney meridians. In the treatment of sore and ulcer, Astragali Radix was mainly used with the dose of 3.73 g and combined with Glycyrrhizae Radix et Rhizoma to promote granulation and heal up sores. In the treatment of consumptive disease, Astragali Radix was mainly used with the dose of 37.30 g and combined with Ginseng Radix et Rhizoma to tonify deficiency and replenish Qi. In the treatment of sweating disorder, Astragali Radix was mainly used with the dose of 3.73 g and combined with Glycyrrhizae Radix et Rhizoma to consolidate exterior and stop sweating. In the treatment of apoplexy, Astragali Radix was mainly used with the dose of 7.46 g and combined with Glycyrrhizae Radix et Rhizoma to dispell wind and stop convulsions. Astragali Radix can be used in the treatment of multiple system diseases, with the effects of tonifying Qi and ascending Yang, consolidating exterior and stopping sweating, and expressing toxin and promoting granulation. According to the manifestations of different diseases, when combined with other medicines, Astragali Radix was endowed with the effects of promoting granulation and healing up sores, tonifying deficiency and Qi, consolidating exterior and stopping sweating, and dispelling wind and replenishing Qi. The findings provide a theoretical reference and a scientific basis for the clinical application of Astragali Radix and the development of new medicines.
Drugs, Chinese Herbal/history*
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Humans
;
Medicine, Chinese Traditional/history*
;
History, Ancient
;
Astragalus Plant/chemistry*
;
China
;
Astragalus propinquus
8.Machine learning models established to distinguish OA and RA based on immune factors in the knee joint fluid.
Qin LIANG ; Lingzhi ZHAO ; Yan LU ; Rui ZHANG ; Qiaolin YANG ; Hui FU ; Haiping LIU ; Lei ZHANG ; Guoduo LI
Chinese Journal of Cellular and Molecular Immunology 2025;41(4):331-338
Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Methods 100 OA and 40 RA patients scheduled for total knee arthroplasty were enrolled respectively. Each patient's knee joint fluid was collected preoperatively. Nucleated cells were counted and classified. The expression levels of immune factors, including tumor necrosis factor alpha (TNF-α), interleukin-1 beta (IL-1β), IL-6, IL-8, IL-15, matrix metalloproteinase 3 (MMP3), MMP9, MMP13, rheumatoid factor (RF), serum amyloid A (SAA), C-reactive protein (CRP), and others were measured. Smears and microscopic classification of all the immune factors were performed. Independent influencing factors for OA or RA were identified using univariate binary logistic regression, Lasso regression, and multivariate binary logistic regression. Based on the independent influencing factors, three machine learning models were constructed which are logistic regression, random forest, and support vector machine. Receiver operating characteristic curve (ROC), calibration curve and decision curve analysis (DCA) were used to evaluate and compare the models. Results A total of 5 indicators in the knee joint fluid were screened out to distinguish OA and RA, which were IL-1β(odds ratio(OR)=10.512, 95× confidence interval (95×CI) was 1.048-105.42, P=0.045), IL-6 (OR=1.007, 95×CI was 1.001-1.014, P=0.022), MMP9 (OR=3.202, 95×CI was 1.235-8.305, P=0.017), MMP13 (OR=1.002, 95× CI was 1-1.004, P=0.049), and RF (OR=1.091, 95×CI was 1.01-1.179, P=0.026). According to the results of ROC, calibration curve and DCA, the accuracy (0.979), sensitivity (0.98) and area under the curve (AUC, 0.996, 95×CI was 0.991-1) of the random forest model were the highest. It has good validity and feasibility, and its distinguishing ability is better than the other two models. Conclusion The machine learning model based on immune factors in the knee joint fluid holds significant value in distinguishing OA and RA. It provides an important reference for the clinical early differential diagnosis, prevention and treatment of OA and RA.
Humans
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Arthritis, Rheumatoid/metabolism*
;
Machine Learning
;
Male
;
Female
;
Middle Aged
;
Aged
;
Synovial Fluid/immunology*
;
Osteoarthritis, Knee/metabolism*
;
Knee Joint/metabolism*
;
ROC Curve
;
Diagnosis, Differential
9.Coagulation profile PT, FBG, FDP, D-D as disease predictors of RA and pSS inflammatory immunity.
Wenwen MIN ; Lei WAN ; Feng LI ; Yu ZHANG ; Ying WANG ; Siyu LIANG
Chinese Journal of Cellular and Molecular Immunology 2025;41(10):895-904
Objective To explore the expression of coagulation indexes in rheumatoid arthritis (RA) and dry syndrome (pSS) and their relationships with inflammation and immune function. Methods A total of 61 patients with RA who were hospitalized in the Department of Rheumatology of Anhui Provincial Hospital of Traditional Chinese Medicine from March 12 to September 9, 2024 were selected as the RA group. And 61 patients with pSS who were hospitalized in the Department of Rheumatology of the same hospital September 4, 2023, to August 17, 2024, were selected as the pSS group. 61 healthy individuals who underwent routine medical checkups at the Physical Examination Center of Anhui Provincial Hospital of Traditional Chinese Medicine during the same period were included as the control group. Baseline clinical indexes before treatment were collected from patients in each group, including prothrombin time(PT), international normalized ratio(INR), thrombia time(TT), fibrinogen(FBG), activated partial thromboplastin time(APTT), fibrin (ogen) degradation products(FDP) and D-Dimer(D-D). Results The expression levels of PT, FBG, TT, FDP, and D-D in the RA group, the pSS group, and the normal group were significantly different. The expression levels of PT, FBG, FDP, and D-D in the RA group were all higher than those in the pSS group and the control group, respectively. And the expression level of TT in the pSS group was lower than that in control group. ROC curve analysis showed that the AUC of PT was 0.638, the AUC of FBG was 0.899, the AUC of FDP was 0.866, and the AUC of D-D was 0.919 in the RA group compared with the normal group. And the AUC of coagulation indexes for joint diagnosis of RA was higher than that of the indexes detected individually. pSS group had an AUC of PT of 0.618 compared with that of the normal group. The AUC of TT was 0.645, and the AUC of coagulation indexes for the joint diagnosis of pSS was higher than the AUC of each index detected separately. Association rule analysis showed that elevated D-D in RA patients had a significant correlation with elevated hs-CRP, CCP and RF, and elevated FBG had a significant correlation with elevated hs-CRP, ESR, RF and CCP. Elevated D-D in pSS patients had a correlation with elevated hs-CRP and anti-SSA, and elevated INR has correlation with elevated hs-CRP, anti-SSA and anti-SSB. Correlation analysis showed that PT, INR, FBG, FDP, and D-D were positively correlated with CRP and ESR, and TT was negatively correlated with CRP and ESR in the RA group. FBG, FDP, and D-D were positively correlated with CRP and ESR in the pSS group. Moreover, coagulation indexes were positively correlated with immune indexes in RA group and pSS group which were all significant. The results of multiple linear regression analysis showed that FBG was a positive correlate of hs-CRP and ESR in RA patients. For PSS patients, FBG and FDP were positive correlates of hs-CRP. APTT and FBG were positive correlates of ESR. Conclusion Compared with pSS, coagulation indexes (especially PT, FBG, FDP and D-D) are more informative for the early diagnosis of RA and the judgment of the degree of the disease, and can be used as an important predictor for the confirmation of the diagnosis of RA.
Humans
;
Female
;
Male
;
Arthritis, Rheumatoid/diagnosis*
;
Middle Aged
;
Fibrin Fibrinogen Degradation Products/analysis*
;
Blood Coagulation
;
Adult
;
Fibrinogen/metabolism*
;
Partial Thromboplastin Time
;
Prothrombin Time
;
Aged
;
Inflammation/immunology*
;
ROC Curve
10.Triclocarban impacts human sperm motility by inhibiting glycolysis and oxidative phosphorylation.
Long-Long FU ; Wei-Zhou WANG ; Yan FENG ; Fu CHEN ; Bin LIU ; Liang HUANG ; Lin-Yuan ZHANG ; Lei CHEN
Asian Journal of Andrology 2025;27(6):707-713
Triclocarban (TCC) is a broad-spectrum antimicrobial widely used in various personal care products, textiles, and children's toys. TCC has potential reproductive and developmental toxicity in animals. However, little is known regarding the effect of TCC on human sperm function. In this study, an in vitro assay was used to investigate the effects of TCC on normal human spermatozoa and the possible underlying mechanisms involved. Semen from healthy male donors was collected and cultured in complete Biggers, Whitten and Whittingham (BWW) and low-sugar BWW media, followed by treatment with TCC at concentrations of 0, 0.1 µmol l -1 , 1 µmol l -1 , 10 µmol l -1 , and 100 µmol l -1 for 4 h. TCC was found to reduce the sperm total motility and progressive motility. Moreover, the sperm kinematic parameters, straight-line velocity (VSL), average path velocity (VAP), and curvilinear velocity (VCL) were affected in a dose-dependent manner. After treatment with TCC at the lowest effective concentration of 10 µmol l -1 , TCC caused a significant decrease in mitochondrial adenosine triphosphate (ATP) production and mitochondrial membrane potential (MMP) and a significant increase in reactive oxygen species (ROS), similar to the observations with the positive control carbonyl cyanide 4-(trifluoromethoxy) phenylhydrazone (FCCP), suggesting that TCC may decrease sperm motility by affecting the oxidative phosphorylation (OXPHOS) pathway. In a sugar-free and low-sugar BWW culture environment, TCC enhanced the damaging effect on sperm motility and ATP, MMP, and lactate decreased significantly, suggesting that TCC may also affect the glycolytic pathway that supplies energy to spermatozoa. This study demonstrates a possible mechanism of TCC toxicity in spermatozoa involving both the OXPHOS and glycolysis pathways.
Male
;
Sperm Motility/drug effects*
;
Humans
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Carbanilides/pharmacology*
;
Oxidative Phosphorylation/drug effects*
;
Glycolysis/drug effects*
;
Membrane Potential, Mitochondrial/drug effects*
;
Adenosine Triphosphate/metabolism*
;
Spermatozoa/metabolism*
;
Reactive Oxygen Species/metabolism*
;
Mitochondria/metabolism*

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