1.Identification of GSK3 family and regulatory effects of brassinolide on growth and development of Nardostachys jatamansi.
Yu-Yan LEI ; Zheng MA ; Jing WEI ; Wen-Bing LI ; Ying LI ; Zheng-Ming YANG ; Shao-Shan ZHANG ; Jing-Qiu FENG ; Hua-Chun SHENG ; Yuan LIU
China Journal of Chinese Materia Medica 2025;50(2):395-403
This study identified 8 members including NjBIN2 of the GSK3 family in Nardostachys jatamansi by bioinformatics analysis. Moreover, the phylogenetic tree revealed that the GKS3 family members of N. jatamansi had a close relationship with those of Arabidopsis. RT-qPCR results showed that NjBIN2 presented a tissue-specific expression pattern with the highest expression in roots, suggesting that NjBIN2 played a role in root growth and development. In addition, the application of epibrassinolide or the brassinosteroid(BR) synthesis inhibitor(brassinazole) altered the expression pattern of NjBIN2 and influenced the photomorphogenesis(cotyledon opening) and root development of N. jatamansi, which provided direct evidence about the functions of NjBIN2. In conclusion, this study highlights the roles of BIN2 in regulating the growth and development of N. jatamansi by analyzing the expression pattern and biological function of NjBIN2. It not only enriches the understanding about the regulatory mechanism of the growth and development of N. jatamansi but also provides a theoretical basis and potential gene targets for molecular breeding of N. jatamansi with improved quality in the future.
Brassinosteroids/metabolism*
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Steroids, Heterocyclic/metabolism*
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Gene Expression Regulation, Plant/drug effects*
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Plant Proteins/metabolism*
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Phylogeny
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Nardostachys/metabolism*
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Plant Growth Regulators/pharmacology*
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Plant Roots/drug effects*
2.Mechanistic of Yueju Wan volatile oil in inhibiting inflammation for antidepressant effects by regulating AGE/PI3K/Akt pathway.
Tan-Lu CHU ; Ze-Jun GUO ; Wei ZHANG ; Ling-Feng WANG ; Shu-Rui LYU ; Wan-Yu GUO ; Xiao-Ming ZHONG ; Feng-Mei QIU ; Zhen HUANG
China Journal of Chinese Materia Medica 2025;50(11):3147-3158
The antidepressant activity and molecular mechanisms of Yueju Wan volatile oil were investigated. The Yueju Wan volatile oil was extracted by using supercritical CO_2. Gas chromatography-mass spectrometry(GC-MS) combined with network pharmacology identified 28 chemical constituents in Yueju Wan volatile oil, primarily terpenes and lactones. A total of 123 overlapping targets were associated with depression, including core targets of interleukin-1β(IL-1β), signal transducer and activator of transcription 3(STAT3), and caspase-3(CASP3). These targets were mainly involved in the prolactin, advanced glycation end products/receptor(AGE/RAGE), and phosphoinositide 3-kinase/protein kinase B(PI3K/Akt) signaling pathways. A reserpine-induced depression mouse model was established to evaluate the therapeutic effects and mechanisms of Yueju Wan volatile oil. The effects of Yueju Wan volatile oil on depression-like behavior in mice were evaluated by analyzing body mass, body temperature index, tail suspension immobility time, forced swimming immobility time, and sucrose preference. Hematoxylin-eosin(HE) staining revealed neuronal protection of Yueju Wan volatile oil in the brain of mice. Enzyme-linked immunosorbent assay(ELISA) and Western blot were employed to detect the protein expression of AGEs, IL-1β, phosphorylated PI3K(p-PI3K), Akt, phosphorylated Akt(p-Akt), nuclear factor κB(NF-κB), and brain-derived neurotrophic factor(BDNF). Behavioral evaluation showed that Yueju Wan volatile oil could effectively control the decline of body mass and body temperature of depressed mice, reduce tail suspension and swimming immobility time, and enhance their preference for sucrose. Histopathological examination showed that Yueju Wan volatile oil could alleviate the neuronal damage in CA1 and dentate gyrus(DG) of the hippocampus of mice. ELISA and Western blot results showed that Yueju Wan volatile oil could significantly increase the protein expression levels of PI3K, Akt, and BDNF and significantly decrease the protein expression levels of AGEs, IL-1β, p-PI3K, p-Akt, and NF-κB in the hippocampus of mice. Furthermore, the p-PI3K/PI3K and p-Akt/Akt ratios were significantly decreased at medium and high doses. These findings suggest that the aromatherapy of Yueju Wan volatile oil can significantly improve reserpine-induced depression-like behavior in mice, which may be related to reducing the expression of neuronal membrane protein AGEs, reducing the phosphorylation levels of PI3K and Akt, inhibiting NF-κB entry into the nucleus, and alleviating the release of pro-inflammatory factors and nerve injury.
Animals
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Antidepressive Agents/chemistry*
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Mice
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Proto-Oncogene Proteins c-akt/immunology*
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Phosphatidylinositol 3-Kinases/immunology*
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Oils, Volatile/chemistry*
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Male
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Drugs, Chinese Herbal/chemistry*
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Signal Transduction/drug effects*
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Depression/metabolism*
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Glycation End Products, Advanced/immunology*
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Humans
3.A promising strategy of brain targeted delivery for the treatment of Parkinson's disease: Cyclodextrin supramolecular inclusion complex based thermosensitive gel.
Yan-Qiu WANG ; Li-Ming WANG ; Li-Feng HAN ; Yi-Bing CHEN ; Yuan-Lu CUI
Journal of Pharmaceutical Analysis 2025;15(5):101102-101102
Image 1.
4.Establishment and validation of bioactivity measurement method for recombinant human midkine
Ying ZHANG ; Ting HE ; Ming-feng QIU ; Sheng-bin PENG
Acta Pharmaceutica Sinica 2024;59(1):198-201
To establish and optimize a method for the detection of recombinant human midkine (rhMK) activity and verify its methodology, cell counting kit-8 (cck-8) method was used to measure the proliferation activity of rat knee chondrocytes. The specificity, accuracy, precision, linearity and robustness of the method were also verified in this study. The established method was proven to have good specificity because the buffer of rhMK and recombinant human interleukin-1 receptor antagonist have no obvious active effect; the recoveries of the samples with relative activities of 50%, 75%, 100%, 125%, 150% were in the range of 80.0% to 124.0% by statistical analysis, the relative standard deviations (RSD) of relative potency were all within 20%, the linear correlation coefficient,
5.Recommendations for the timing, dosage, and usage of corticosteroids during cytokine release syndrome (CRS) caused by chimeric antigen receptor (CAR)-T cell therapy for hematologic malignancies.
Sanfang TU ; Xiu LUO ; Heng MEI ; Yongxian HU ; Yang LIU ; Ping LI ; Dehui ZOU ; Ting NIU ; Kailin XU ; Xi ZHANG ; Lugui QIU ; Lei GAO ; Guangxun GAO ; Li ZHANG ; Yimei FENG ; Ying WANG ; Mingfeng ZHAO ; Jianqing MI ; Ming HOU ; Jianmin YANG ; He HUANG ; Jianxiang WANG ; Yu HU ; Weili ZHAO ; Depei WU ; Jun MA ; Yuhua LI ; Wenbin QIAN ; Xiaojun HUANG ; Weidong HAN ; Aibin LIANG
Chinese Medical Journal 2024;137(22):2681-2683
6.Expert consensus on the prevention and treatment of adverse reactions in subcutaneous immunotherapy(2023, Chongqing).
Yu Cheng YANG ; Yang SHEN ; Xiang Dong WANG ; Yan JIANG ; Qian Hui QIU ; Jian LI ; Shao Qing YU ; Xia KE ; Feng LIU ; Yuan Teng XU ; Hong Fei LOU ; Hong Tian WANG ; Guo Dong YU ; Rui XU ; Juan MENG ; Cui Da MENG ; Na SUN ; Jian Jun CHEN ; Ming ZENG ; Zhi Hai XIE ; Yue Qi SUN ; Jun TANG ; Ke Qing ZHAO ; Wei Tian ZHANG ; Zhao Hui SHI ; Cheng Li XU ; Yan Li YANG ; Mei Ping LU ; Hui Ping YE ; Xin WEI ; Bin SUN ; Yun Fang AN ; Ya Nan SUN ; Yu Rong GU ; Tian Hong ZHANG ; Luo BA ; Qin Tai YANG ; Jing YE ; Yu XU ; Hua Bin LI
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2023;58(7):643-656
8.Value of combined model based on clinical and radiomics features for predicting invasiveness of lung adenocarcinoma manifesting as ground glass nodule
Dong-Miao ZHANG ; Yu-Ming CHEN ; Qiu-Ru MO ; Qi-Di ZHAO ; Feng-Yan NONG ; Cai-Yun LI ; Ai-Ping CHEN
Chinese Medical Equipment Journal 2023;44(12):51-57
Objective To evaluate the predictive value of a combined model based on clinical and radiomics features for the invasiveness of lung adenocarcinoma manifesting as ground glass nodule(GGN).Methods Clinical data of patients with GGN-type lung adenocarcinoma who underwent chest CT and were confirmed by surgical pathology at some hospital from January to December 2019 were analyzed retrospectively,and the extraction of imaging histological features was performed using Python-based open resource Pyradiomics.A clinical model was constructed based on independent risk factors obtained from univariate and multivariate analyses,a radiomics model was built using the screened radiomics features,and a combined model was established with the predictive values of the clinical models and radiomics scores(Radscore).The predictive performance of the three models in the training and test sets was assessed using ROC curves,the statistical significance of the differences in the ROC curves of the three models for predicting GGN-type lung adenocarcinoma was assessed using the Delong test,and the net benefits of the models were analyzed using clinical decision curves.Results Logistic multifactor analysis showed that age(P=0.020 2)and vascular characteristics(P=0.002 2)were the independent predictors of the degree of the invasiveness of lung adenocarcinoma.The AUCs of the radiomics model,clinical model and combined model were 0.876,0.867 and 0.904 on the training set,and 0.828,0.828 and 0.864 on the test set,respectively.The difference between the ROC curves of the combined model and the clinical and radiomics models was not statistically significant(P>0.05)on the test set.Clinical decision curves showed a higher clinical benefit when using the combined model to predict the invasiveness under most conditions of threshold probability.Conclusion The combined model based on clinical and radiomics features enhances the predictive performance for the invasiveness of GGN-type lung adenocarcinoma.
9.To compare the efficacy and incidence of severe hematological adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia.
Xiao Shuai ZHANG ; Bing Cheng LIU ; Xin DU ; Yan Li ZHANG ; Na XU ; Xiao Li LIU ; Wei Ming LI ; Hai LIN ; Rong LIANG ; Chun Yan CHEN ; Jian HUANG ; Yun Fan YANG ; Huan Ling ZHU ; Ling PAN ; Xiao Dong WANG ; Gui Hui LI ; Zhuo Gang LIU ; Yan Qing ZHANG ; Zhen Fang LIU ; Jian Da HU ; Chun Shui LIU ; Fei LI ; Wei YANG ; Li MENG ; Yan Qiu HAN ; Li E LIN ; Zhen Yu ZHAO ; Chuan Qing TU ; Cai Feng ZHENG ; Yan Liang BAI ; Ze Ping ZHOU ; Su Ning CHEN ; Hui Ying QIU ; Li Jie YANG ; Xiu Li SUN ; Hui SUN ; Li ZHOU ; Ze Lin LIU ; Dan Yu WANG ; Jian Xin GUO ; Li Ping PANG ; Qing Shu ZENG ; Xiao Hui SUO ; Wei Hua ZHANG ; Yuan Jun ZHENG ; Qian JIANG
Chinese Journal of Hematology 2023;44(9):728-736
Objective: To analyze and compare therapy responses, outcomes, and incidence of severe hematologic adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia (CML) . Methods: Data of patients with chronic phase CML diagnosed between January 2006 and November 2022 from 76 centers, aged ≥18 years, and received initial flumatinib or imatinib therapy within 6 months after diagnosis in China were retrospectively interrogated. Propensity score matching (PSM) analysis was performed to reduce the bias of the initial TKI selection, and the therapy responses and outcomes of patients receiving initial flumatinib or imatinib therapy were compared. Results: A total of 4 833 adult patients with CML receiving initial imatinib (n=4 380) or flumatinib (n=453) therapy were included in the study. In the imatinib cohort, the median follow-up time was 54 [interquartile range (IQR), 31-85] months, and the 7-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.2%, 88.4%, 78.3%, and 63.0%, respectively. The 7-year FFS, PFS, and OS rates were 71.8%, 93.0%, and 96.9%, respectively. With the median follow-up of 18 (IQR, 13-25) months in the flumatinib cohort, the 2-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.4%, 86.5%, 58.4%, and 46.6%, respectively. The 2-year FFS, PFS, and OS rates were 80.1%, 95.0%, and 99.5%, respectively. The PSM analysis indicated that patients receiving initial flumatinib therapy had significantly higher cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) and higher probabilities of FFS than those receiving the initial imatinib therapy (all P<0.001), whereas the PFS (P=0.230) and OS (P=0.268) were comparable between the two cohorts. The incidence of severe hematologic adverse events (grade≥Ⅲ) was comparable in the two cohorts. Conclusion: Patients receiving initial flumatinib therapy had higher cumulative incidences of therapy responses and higher probability of FFS than those receiving initial imatinib therapy, whereas the incidence of severe hematologic adverse events was comparable between the two cohorts.
Adult
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Humans
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Adolescent
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Imatinib Mesylate/adverse effects*
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Incidence
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Antineoplastic Agents/adverse effects*
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Retrospective Studies
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Pyrimidines/adverse effects*
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Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy*
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Treatment Outcome
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Benzamides/adverse effects*
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Leukemia, Myeloid, Chronic-Phase/drug therapy*
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Aminopyridines/therapeutic use*
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Protein Kinase Inhibitors/therapeutic use*
10.Developing a diagnostic model for predicting prostate cancer: a retrospective study based on Chinese multicenter clinical data.
Chang-Ming WANG ; Lei YUAN ; Xue-Han LIU ; Shu-Qiu CHEN ; Hai-Feng WANG ; Qi-Fei DONG ; Bin ZHANG ; Ming-Shuo HUANG ; Zhi-Yong ZHANG ; Jun XIAO ; Tao TAO
Asian Journal of Andrology 2023;26(1):34-40
The overdiagnosis of prostate cancer (PCa) caused by nonspecific elevation serum prostate-specific antigen (PSA) and the overtreatment of indolent PCa have become a global problem that needs to be solved urgently. We aimed to construct a prediction model and provide a risk stratification system to reduce unnecessary biopsies. In this retrospective study, clinical data of 1807 patients from three Chinese hospitals were used. The final model was built using stepwise logistic regression analysis. The apparent performance of the model was assessed by receiver operating characteristic curves, calibration plots, and decision curve analysis. Finally, a risk stratification system of clinically significant prostate cancer (csPCa) was created, and diagnosis-free survival analyses were performed. Following multivariable screening and evaluation of the diagnostic performances, a final diagnostic model comprised of the PSA density and Prostate Imaging-Reporting and Data System (PI-RADS) score was established. Model validation in the development cohort and two external cohorts showed excellent discrimination and calibration. Finally, we created a risk stratification system using risk thresholds of 0.05 and 0.60 as the cut-off values. The follow-up results indicated that the diagnosis-free survival rate for csPCa at 12 months and 24 months postoperatively was 99.7% and 99.4%, respectively, for patients with a risk threshold below 0.05 after the initial negative prostate biopsy, which was significantly better than patients with higher risk. Our diagnostic model and risk stratification system can achieve a personalized risk calculation of csPCa. It provides a standardized tool for Chinese patients and physicians when considering the necessity of prostate biopsy.

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