1.Pharmacokinetic study of 3 blood-absorbed components of Xiangshao sanjie oral liquid in rats with hyperplasia of mammary gland
Yu ZHANG ; Jiaming LI ; Dan PENG ; Ruoqiu FU ; Yue MING ; Zhengbi LIU ; Jingjing WANG ; Shiqi CHENG ; Hongjun XIE ; Yao LIU
China Pharmacy 2025;36(6):680-685
OBJECTIVE To explore the pharmacokinetic characteristics of 3 blood-absorbed components of Xiangshao sanjie oral liquid in rats with hyperplasia of mammary gland (HMG). METHODS Female SD rats were divided into control group and HMG group according to body weight, with 6 rats in each group. The HMG group was given estrogen+progesterone to construct HMG model. After modeling, two groups were given 1.485 g/kg of Xiangshao sanjie oral liquid (calculated by crude drug) intragastrically, once a day, for 7 consecutive days. Blood samples were collected before the first administration (0 h), and at 5, 15, 30 minutes and 1, 2, 4, 8, 12, 24 hours after the last administration, respectively. Using chlorzoxazone as the internal standard, the plasma concentrations of ferulic acid, paeoniflorin and rosmarinic acid in rats were detected by UPLC-Q/TOF-MS. The pharmacokinetic parameters [area under the drug time curve (AUC0-24 h, AUC0-∞), mean residence time (MRT0-∞), half-life (t1/2), peak time (tmax), peak concentration (cmax)] were calculated by the non-atrioventricular model using Phoenix WinNonlin 8.1 software. RESULTS Compared with the control group, the AUC0-24 h, AUC0-∞ and cmax of ferulic acid in the HMG group were significantly increased (P<0.05); the AUC0-24 h, AUC0-∞ , MRT0-∞ , t1/2 and cmax of paeoniflorin increased, but there was no significant difference between 2 groups (P>0.05); the AUC0-24 h and MRT0-∞ of rosmarinic acid were significantly increased or prolonged (P<0.05). C ONCLUSIONS In HMG model rats, the exposure of ferulic acid, paeoniflorin and rosmarinic acid in Xiangshao sanjie oral liquid all increase, and the retention time of rosmarinic acid is significantly prolonged.
2.Research advance on the perioperative management of flexible ureteral lithotripsy under local anesthesia
Chaolin YU ; Pingbo XIE ; Jiaxi PENG ; Hongqing ZHOU ; Yonghua LUO ; Zihan DAI ; Chuan LIU
Journal of Modern Urology 2025;30(3):266-271
Flexible ureteral lithotripsy (FURL) under general anesthesia (GA) is the dominant method in the treatment of renal and upper ureteral calculi,but some patients cannot tolerate GA.In recent years,there has been a growing interest in the use of local anesthesia (LA) as a safe and effective alternative.And it is also an option for patients who have calculi ≤20 mm with high fragility,lower CT value and better compatibility.Before surgery,it is important to conduct relevant examinations,evaluate the status of patients,prevent infections,and indwell ureteral stents.During surgery,lithotomy position,scissors position,prone leg position and other positions should be selected according to the specific conditions of patients.LA drugs should be used to control physiological pain and relieve psychological anxiety.Patients' breathing state should be carefully monitored,and appropriate ureteroscope and lens sheath should be selected for the success and safety of the operation.In this paper,the perioperative management of FURL under LA is briefly summarized,so as to provide reference for clinical practice.
3.Glucocorticoid Discontinuation in Patients with Rheumatoid Arthritis under Background of Chinese Medicine: Challenges and Potentials Coexist.
Chuan-Hui YAO ; Chi ZHANG ; Meng-Ge SONG ; Cong-Min XIA ; Tian CHANG ; Xie-Li MA ; Wei-Xiang LIU ; Zi-Xia LIU ; Jia-Meng LIU ; Xiao-Po TANG ; Ying LIU ; Jian LIU ; Jiang-Yun PENG ; Dong-Yi HE ; Qing-Chun HUANG ; Ming-Li GAO ; Jian-Ping YU ; Wei LIU ; Jian-Yong ZHANG ; Yue-Lan ZHU ; Xiu-Juan HOU ; Hai-Dong WANG ; Yong-Fei FANG ; Yue WANG ; Yin SU ; Xin-Ping TIAN ; Ai-Ping LYU ; Xun GONG ; Quan JIANG
Chinese journal of integrative medicine 2025;31(7):581-589
OBJECTIVE:
To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM).
METHODS:
This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis.
RESULTS:
Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings.
CONCLUSIONS
RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult
;
Aged
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Female
;
Humans
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Male
;
Middle Aged
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Arthritis, Rheumatoid/drug therapy*
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Glucocorticoids/therapeutic use*
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Medicine, Chinese Traditional
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Retrospective Studies
4.Elemene as a binding stabilizer of microRNA-145-5p suppresses the growth of non-small cell lung cancer.
Meirong ZHOU ; Jiayue WANG ; Yulin PENG ; Xiangge TIAN ; Wen ZHANG ; Junlin CHEN ; Yue WANG ; Yu WANG ; Youjian YANG ; Yongwei ZHANG ; Xiaokui HUO ; Yuzhuo WU ; Zhenlong YU ; Tian XIE ; Xiaochi MA
Journal of Pharmaceutical Analysis 2025;15(3):101118-101118
Elemene is widely recognized as an effective anti-cancer compound and is routinely administered in Chinese clinical settings for the management of several solid tumors, including non-small cell lung cancer (NSCLC). However, its detailed molecular mechanism has not been adequately demonstrated. In this research, it was demonstrated that elemene effectively curtailed NSCLC growth in the patient-derived xenograft (PDX) model. Mechanistically, employing high-throughput screening techniques and subsequent biochemical validations such as microscale thermophoresis (MST), microRNA-145-5p (miR-145-5p) was pinpointed as a critical target through which elemene exerts its anti-tumor effects. Interestingly, elemene serves as a binding stabilizer for miR-145-5p, demonstrating a strong binding affinity (dissociation constant (K D) = 0.39 ± 0.17 μg/mL) and preventing its degradation both in vitro and in vivo, while not interfering with the synthesis of the primary microRNA transcripts (pri-miRNAs) and precursor miRNAs (pre-miRNAs). The stabilization of miR-145-5p by elemene resulted in an increased level of this miRNA, subsequently suppressing NSCLC progression through the miR-145-5p/mitogen-activated protein kinase kinase kinase 3 (MAP3K3)/nuclear factor kappaB (NF-κB) pathway. Our findings provide a new perspective on revealing the interaction patterns between clinical anti-tumor drugs and miRNAs.
5.Prioritization of potential drug targets for diabetic kidney disease using integrative omics data mining and causal inference.
Junyu ZHANG ; Jie PENG ; Chaolun YU ; Yu NING ; Wenhui LIN ; Mingxing NI ; Qiang XIE ; Chuan YANG ; Huiying LIANG ; Miao LIN
Journal of Pharmaceutical Analysis 2025;15(8):101265-101265
Diabetic kidney disease (DKD) with increasing global prevalence lacks effective therapeutic targets to halt or reverse its progression. Therapeutic targets supported by causal genetic evidence are more likely to succeed in randomized clinical trials. In this study, we integrated large-scale plasma proteomics, genetic-driven causal inference, and experimental validation to identify prioritized targets for DKD using the UK Biobank (UKB) and FinnGen cohorts. Among 2844 diabetic patients (528 with DKD), we identified 37 targets significantly associated with incident DKD, supported by both observational and causal evidence. Of these, 22% (8/37) of the potential targets are currently under investigation for DKD or other diseases. Our prospective study confirmed that higher levels of three prioritized targets-insulin-like growth factor binding protein 4 (IGFBP4), family with sequence similarity 3 member C (FAM3C), and prostaglandin D2 synthase (PTGDS)-were associated with a 4.35, 3.51, and 3.57-fold increased likelihood of developing DKD, respectively. In addition, population-level protein-altering variants (PAVs) analysis and in vitro experiments cross-validated FAM3C and IGFBP4 as potential new target candidates for DKD, through the classic NLR family pyrin domain containing 3 (NLRP3)-caspase-1-gasdermin D (GSDMD) apoptotic axis. Our results demonstrate that integrating omics data mining with causal inference may be a promising strategy for prioritizing therapeutic targets.
6.Study on rapid identification of Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants with Fourier exchange infrared spectroscopy
Yu XUE ; Huqiang FANG ; Tao XIE ; Jia SONG ; Shimao CHEN ; Zixuan JIANG ; Wangxing CHENG ; Qingshan YANG ; Tangyi PENG
International Journal of Traditional Chinese Medicine 2025;47(11):1574-1580
Objective:To establish a Fourier transform infrared spectroscopy (FT-IR) method for rapid identification of Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants.Methods:The Fourier transform infrared spectra of Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants were established, and the second derivative spectral analysis, clustering analysis, principal component analysis, opls-da and cluster independent soft mode classification model were analyzed to explore the difference characteristic peaks of Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants.Results:The first order infrared spectrum showed that the peak shape and peak intensity of Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants were different. Clustering analysis, principal component analysis and OPLS-DA results showed that Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants showed good clustering characteristics. SIMCA method was used to construct the model, and the accuracy of the training set and the verification set were 100%, which further verified the feasibility of this method in identifying the authenticity of Cremastrae Pseudobulbus Pleiones Pseudobulbus.Conclusions:The second-order infrared spectroscopy can accurately distinguish the differences between Cremastrae Pseudobulbus Pleiones Pseudobulbus and its adulterants. The method is fast and accurate, and can be used for the authenticity identification of Cremastrae Pseudobulbus Pleiones Pseudobulbus.
7.Prioritization of potential drug targets for diabetic kidney disease using integrative omics data mining and causal inference
Junyu ZHANG ; Jie PENG ; Chaolun YU ; Yu NING ; Wenhui LIN ; Mingxing NI ; Qiang XIE ; Chuan YANG ; Huiying LIANG ; Miao LIN
Journal of Pharmaceutical Analysis 2025;15(8):1787-1799
Diabetic kidney disease(DKD)with increasing global prevalence lacks effective therapeutic targets to halt or reverse its progression.Therapeutic targets supported by causal genetic evidence are more likely to succeed in randomized clinical trials.In this study,we integrated large-scale plasma proteomics,genetic-driven causal inference,and experimental validation to identify prioritized targets for DKD using the UK Biobank(UKB)and FinnGen cohorts.Among 2844 diabetic patients(528 with DKD),we identified 37 targets significantly associated with incident DKD,supported by both observational and causal evi-dence.Of these,22%(8/37)of the potential targets are currently under investigation for DKD or other diseases.Our prospective study confirmed that higher levels of three prioritized targets-insulin-like growth factor binding protein 4(IGFBP4),family with sequence similarity 3 member C(FAM3C),and prostaglandin D2 synthase(PTGDS)—were associated with a 4.35,3.51,and 3.57-fold increased likeli-hood of developing DKD,respectively.In addition,population-level protein-altering variants(PAVs)analysis and in vitro experiments cross-validated FAM3C and IGFBP4 as potential new target candidates for DKD,through the classic NLR family pyrin domain containing 3(NLRP3)-caspase-1-gasdermin D(GSDMD)apoptotic axis.Our results demonstrate that integrating omics data mining with causal inference may be a promising strategy for prioritizing therapeutic targets.
8.Elemene as a binding stabilizer of microRNA-145-5p suppresses the growth of non-small cell lung cancer
Meirong ZHOU ; Jiayue WANG ; Yulin PENG ; Xiangge TIAN ; Wen ZHANG ; Junlin CHEN ; Yue WANG ; Yu WANG ; Youjian YANG ; Yongwei ZHANG ; Xiaokui HUO ; Yuzhuo WU ; Zhenlong YU ; Tian XIE ; Xiaochi MA
Journal of Pharmaceutical Analysis 2025;15(3):585-598
Elemene is widely recognized as an effective anti-cancer compound and is routinely administered in Chinese clinical settings for the management of several solid tumors,including non-small cell lung cancer(NSCLC).However,its detailed molecular mechanism has not been adequately demonstrated.In this research,it was demonstrated that elemene effectively curtailed NSCLC growth in the patient-derived xenograft(PDX)model.Mechanistically,employing high-throughput screening techniques and subsequent biochemical validations such as microscale thermophoresis(MST),microRNA-145-5p(miR-145-5p)was pinpointed as a critical target through which elemene exerts its anti-tumor effects.Inter-estingly,elemene serves as a binding stabilizer for miR-145-5p,demonstrating a strong binding affinity(dissociation constant(KD)=0.39±0.17 μg/mL)and preventing its degradation both in vitro and in vivo,while not interfering with the synthesis of the primary microRNA transcripts(pri-miRNAs)and precursor miRNAs(pre-miRNAs).The stabilization of miR-145-5p by elemene resulted in an increased level of this miRNA,subsequently suppressing NSCLC progression through the miR-145-5p/mitogen-activated pro-tein kinase kinase kinase 3(MAP3K3)/nuclear factor kappaB(NF-κB)pathway.Our findings provide a new perspective on revealing the interaction patterns between clinical anti-tumor drugs and miRNAs.
9. Effect of quercetin's anti-breast cancer depending on presence of estrogen receptor via down-regulating long non-coding RNA MALAT-1 and its mechanism
Zi-Yi ZHAO ; Ming XIONGXIAO ; Cui-Wei ZHANG ; Ming XIONGXIAO ; Cui-Wei ZHANG ; Yu-Peng XIE ; Yi-Wen ZHANG
Chinese Pharmacological Bulletin 2024;40(3):499-505
Aim To investigate the molecular mechanism by which quercetin inhibits the malignant behavior of breast cancer cells. Methods Breast cancer cell lines MCF-7 and MB231 were used as the research models. Lentiviral transfection was employed to establish tumor cells with high expression of ERa and MAL-AT-1. The expression of MALAT-1 was assessed using RT-qPCR,and ERa expression was determined through Western blot. Subsequently, CCK-8 assay and colony formation assay were conducted to evaluate cell proliferation. PI staining and adenovirus transfection were performed to observe the inhibitory effects of quercetin on breast cancer cell proliferation. Results 17|3-es-tradiol ( E2 ) promoted the proliferation of MCF-7 breast cancer cells, while 5 jjunol L quercetin reversed the promoting effect of E2 on proliferation ( P 0. 05 ) . Quercetin had no effect on MB231 breast cancer cells. Overexpression of ERa significantly inhibited the pro-proliferative effect of E2 on MB231-ERa cells, and quercetin further suppressed this effect. Additionally , quercetin inhibited the expression of MALAT-1. However,this inhibitory effect was reversed by overexpression of MALAT-1, leading to enhanced cell proliferation , cell cycle progression, and clonal formation a-bility. Conclusions Quercetin exerts its anti-tumor effects on breast cancer cells by regulating MALAT-1, dependent on the presence of estrogen receptor. Quercetin shows potential as a therapeutic drug for breast cancer targeting the estrogen receptor.
10.Construction and characterization of lpxC deletion strain based on CRISPR/Cas9 in Acinetobacter baumannii
Zong-ti SUN ; You-wen ZHANG ; Hai-bin LI ; Xiu-kun WANG ; Jie YU ; Jin-ru XIE ; Peng-bo PANG ; Xin-xin HU ; Tong-ying NIE ; Xi LU ; Jing PANG ; Lei HOU ; Xin-yi YANG ; Cong-ran LI ; Lang SUN ; Xue-fu YOU
Acta Pharmaceutica Sinica 2024;59(5):1286-1294
Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria,

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