1.Pharmacokinetics and pharmacodynamics studies of azithromycin capsules in healthy Chinese subjects
Peng-Fei XIE ; Yuan-Lu CHEN ; Han CHEN ; Yan ZHOU ; Peng YANG ; Li-Zhong NIAN ; Li-Ying ZUO ; Yong-Dong ZHANG
The Chinese Journal of Clinical Pharmacology 2024;40(1):97-101
Objective To evaluate the bioequivalence of the test preparation and reference preparation of azithromycin capsules in healthy Chinese subjects.Methods A total of 48 subjects were enrolled in this study using a randomized,open,two-sequence,cross design.Each subject received a single oral dose of azithromycin capsules test drug(T)or reference drug(R)for 250 mg.The concentrations of azithromycin in plasma were determined by Liquid Chromatograph Mass Spectrometer,and the pharmacokinetic parameters were calculated by WinNonlin 8.1 software to evaluate the bioequivalence.Results The main pharmacokinetic parameters of azithromycin after a single fasting dose of the test drug and the reference drug were as follows:the Cmax were respectively(319.89±127.35)and(330.41±122.11)ng·mL-1;AUC0-192h were respectively(2 423.04±587.15)and(2 489.97±685.73)ng·h·mL-1;AUC0-∞ were respectively(2 753.40±644.96)and(2 851.71±784.05)ng·h·mL-;tmax were respectively(2.60±1.11)and(2.62±1.13)h;t1/2 were respectively(76.76±15.14)and(79.83±17.14)h.The 90%confidence intervals for the geometric mean ratios of Cmax,AUC0-192h and AUC0-∞ of T and R were 87.52%-107.18%,91.46%-105.80%and 91.17%-105.06%,respectively.Conclusion The test preparation of azithromycin capsule was bioequivalent to the reference preparation under fasting condition.
2.Research status of traditional Chinese medicine intervention in mTOR pathway targeting autophagy for prevention and treatment of diabetic nephropathy
Shi-Rui YANG ; Ting-Ting ZHOU ; Chao-Chao MA ; Peng-Fei YANG ; Fan-Qi NIU ; Xue-Yang DU ; Feng-Zhe YAN ; Si-Nong WANG
The Chinese Journal of Clinical Pharmacology 2024;40(11):1675-1678
Diabetic kidney disease(DKD)is one of the most important complications of diabetes.In recent years,domestic and foreign studies have found that mammalian target protein of rapamycin(mTOR)related signaling pathway is a classic pathway involved in the regulation of autophagy,which can achieve the therapeutic effect of DKD by targeting the autophagy pathway,and plays a crucial role in the prevention and treatment of DKD.In this paper,we reviewed the mechanism of mTOR-related signaling pathway targeted autophagy in the prevention and treatment of DKD,in order to provide a new reference and basis for clinical prevention and treatment of DKD.
3.Advances in prophylaxis and treatment of retinal detachment related to Stickler syndrome
Xu GAO ; Yuan YANG ; Ping FEI ; Jie PENG ; Tingyi LIANG ; Mengxiao WU ; Peiquan ZHAO
International Eye Science 2024;24(12):1939-1944
Stickler syndrome is a hereditary connective tissue disorder, characterized in ocular manifestations by high myopia and vitreous abnormalities. The progression of the disease can lead to giant retinal tear and rhegmatogenous retinal detachment, making it the most common cause of inherited pediatric retinal detachment. Surgical intervention is the primary treatment for retinal detachment associated with Stickler syndrome. However, there are currently no evidence-based management strategies. Patients typically require multiple surgeries, with low reattachment rates and high recurrence rates, emphasizing the importance of prophylactic treatment. Current prophylactic measures include scleral bucking, laser photocoagulation and retinal cryotherapy, but their absolute benefits remain insufficiently supported. This review summarizes recent advances in the prophylaxis and treatment of retinal detachment in Stickler syndrome, aiming to provide new insights and essential references for the prevention and treatment for such conditions.
4.Chiral LC-MS-guided isolation of angular-type pyranocoumarins from Peucedani Radix
Yang YANG ; Xing-cheng GONG ; Peng-fei TU ; Wen-jing LIU ; Yue-lin SONG
Acta Pharmaceutica Sinica 2024;59(8):2343-2349
This study utilized a chiral liquid chromatography-mass spectrometry (LC
5.The underlying logic, innovative thinking and research paradigm of antiviral medicinal chemistry
Shuo WANG ; Bao-hu LI ; Shu-jing XU ; Yang ZHOU ; Jin-fei YANG ; Xin-yong LIU ; Peng ZHAN
Acta Pharmaceutica Sinica 2024;59(7):1916-1931
Antiviral drug research and development is an important research direction in the current and future biomedical field. The research and development of antiviral drugs not only requires the application of new strategies and new technologies, but also requires the complementary advantages and close cooperation of project teams. Based on the latest progress in this field and the author's drug research practice, this paper summarizes the underlying logic, innovative thinking and research paradigm of antiviral medicinal chemistry.
6.Nanomaterial-based Therapeutics for Biofilm-generated Bacterial Infections
Zhuo-Jun HE ; Yu-Ying CHEN ; Yang ZHOU ; Gui-Qin DAI ; De-Liang LIU ; Meng-De LIU ; Jian-Hui GAO ; Ze CHEN ; Jia-Yu DENG ; Guang-Yan LIANG ; Li WEI ; Peng-Fei ZHAO ; Hong-Zhou LU ; Ming-Bin ZHENG
Progress in Biochemistry and Biophysics 2024;51(7):1604-1617
Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.
7.Research status of bilastine in dermatosis
Pei-Pei XI ; Ling LU ; Peng-Fei YANG ; Ting-Bao LI
The Chinese Journal of Clinical Pharmacology 2024;40(15):2288-2291
Bilastine,a new second-generation histamine H1 receptor antagonist,is used in the treatment of urticaria,in psoriasis,eczema,atopic dermatitis,prurigo,pruritus,eosinophilic dermatitis and many other skin diseases are also widely used.This article reviews the pharmacology,pharmacokinetics,safety and efficacy of bilastine,its application in skin diseases and adverse drug reactions for clinical reference.
8.Influencing factors and the Nomogram model to predict early hematoma expansion of intracranial hemorrhage
Fa WU ; Yu-Lin YANG ; Ting-Ting WU ; Rui JIANG ; Jie WU ; Peng WANG ; Fei-Zhou DU ; Hong-Mei YU ; Jian-Hao LI
Medical Journal of Chinese People's Liberation Army 2024;49(5):504-510
Objective To investigate factors influencing the occurrence of early haematoma expansion(HE)in patients with spontaneous intracerebral hemorrhage(sICH),to develop a predictive model and evaluate its predictive efficacy.Methods A retrospective cohort of 238 patients with sICH,admitted to General Hospital of Western Theater Command between January 2017 and December 2022,was analyzed.Patients were categorized into two groups based on the criteria of HE exceeding 33%in relative volume or 6 ml in absolute volume:HE group(n=62)and non-haematoma expansion(NHE)group(n=176).Clinical characteristics,laboratory findings,Non-contrast Computed Tomography(NCCT)imaging,and Glasgow Coma Scale(GCS)scores were compared between the two groups.Multifactorial logistic regression analysis was employed to identify risk factors for HE and to model the probability of its occurrence.The R language rms package was utilized to construct a nomogram model for predicting HE in sICH patients,Additionally,the related clinical,NCCT,and GCS models were constructed.The predictive efficacy of each model for HE in sICH patients was evaluated using area under Receive Operative Characteristic(ROC)curve(AUC),and the clinical application value of each model was assessed using accuracy,sensitivity,specificity,and Jordon's index.The Delong test was applied to analyze differences in the predictive values of the models.Results Significant differences in satellite sign,vortex sign,and history of anticoagulant treatment were observed between two groups(P<0.05).Multifactorial logistic regression analysis revealed independent risk factors for HE in sICH patients,including the first CT examination time,homogeneity,history of anticoagulant medication,volume,maximal diameter,hypodensity sign,island sign,satellite sign,and vortex sign(P<0.05).The AUCs for the constructed clinical model,NCCT model,GCS model and nomogram model in predicting the occurrence of HE in sICH patients were 0.672,0.706,0.518 and 0.754,respectively.The nomogram model demonstrated higher accuracy,sensitivity,Jordon's index and AUC compared with those in the clinical and NCTT models.Conclusions The first CT examination time,homogeneity,history of anticoagulant treatment,volume,maximum diameter,hypodensity sign,island sign,satellite sign,and vortex sign are independent predictors of early HE in sICH patients.The nomogram model,constructed with the above parameters,demonstrated high predictive efficacy for HE and holds potential for clinical application.
9.Identification of depression among primary school students based on acoustic features and random forest algorithm
Yan′ge WEI ; Shisen QIN ; Rongxun LIU ; Dongshuai WEI ; Luhan YANG ; Fengyi LIU ; Yuanle CHEN ; Jinnan YAN ; Peng LUO ; Fei WANG ; Jie YANG ; Guangjun JI
Chinese Journal of Applied Clinical Pediatrics 2024;39(11):853-857
Objective:To explore the changes in acoustic features of 9-10-year-old primary school students with depressive symptoms, and based on these features and the random forest (RF) algorithm, construct a model for identifying depressive symptoms in primary school students, so as to provide an intelligent psychological health screening tool for schools and education departments.Methods:This was a case-control study.A total of 1 186 primary school students aged 9-10 from three primary schools in three regions of Jiangsu Province were selected as research subjects for psychological health screening from October 26, 2022 to February 13, 2023.Their demographic data, Depression-Anxiety-Stress Scale (DASS-21) scores, Insomnia Severity Index scores, and voice recordings were collected.Based on the DASS-21 scores, the participants were divided into a control group ( n=1 086) and a depression group ( n=100).Voice recordings were made using the neutral text " The North Wind and the Sun". openSMILE was used to extract 523 acoustic features from the pre-processed voice recordings.Group differences were assessed using independent-samples t-tests or chi-square tests.Pearson correlation analysis was conducted to examine the relationship between acoustic features and depression scores.Depressive symptoms were set as the dependent variable, and the correlated acoustic features were set as the independent variable to construct a classification model using the RF algorithm.The model performance was assessed using the receiver operating characteristic (ROC) curve, the area under the curve (AUC), precision, accuracy, recall, and F1 score. Results:Compared with the control group, the depression group showed significant differences in 105 acoustic features (44 spectral features, 49 source features, and 12 prosodic features) (all P<0.05).Correlation analysis showed that 12 acoustic features (7 spectral features, 4 source features, and 1 prosodic feature) were significantly correlated with the depression score (all P<0.05).Among the RF algorithm-based classification models, the spectral features demonstrated superior performance compared to source features and prosodic features (AUC=0.793), and the performance of the model based on the combination of these features was the best (AUC=0.818). Conclusions:Acoustic features may be an objective indicator to identify the depression of 9-10-year-old primary school students, and the classification model established based on acoustic features can identify the depressed primary school students.
10.Design of intelligent horizontal rotating cell culture device
Li-Fei YANG ; Ye-Rong QIAN ; Jun-Xi XIANG ; Ai-Hua SHI ; Xin LIU ; Sha-Sha WEI ; Yi LYU ; Peng LIU
Chinese Medical Equipment Journal 2024;45(9):41-45
Objective To develop an intelligent horizontal rotating cell culture device with high modularity,easy operation,easy disinfection,low cost and high stability.Methods The cell culture device consisted of a rotating culture module,a dirve module,a control module and control software,with the shells of all the modules being manufactured by 3D printing.The rotating culture module was composed of a tubular electrospun scaffold,a cell culture chamber,a magnetic coupling rotor and polypropylene pipeline;the drive module was made up of a N20 reduction motor and a magnetic coupling rotor;the control module included an ESP-8266 chip and a printed circuit board;the control software was developed with Blinker IoT platform and C++language.The device was used to culture human intrahepatic bile duct epithelial cells to verify its effects.Results Light microscopy and scanning electron microscopy images showed that a uniform and continuous cell layer was formed on the surface of the tubular electrospun scaffold.Conclusion The intelligent horizontal rotating cell culture device achieves uniform growth of cells on the inner surface of tubular electrospun scaffolds,and can be used as an effective platform for cell culture on tubular scaffolds.[Chinese Medical Equipment Journal,2024,45(9):41-45]

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