1.Construction of PD-1 overexpressing bacterial cytoplasmic membrane vesicles and evaluation of its targeting efficacy of mouse lung cancer xenograft tissue
XU Xiujie1,2 ; ZHANG Jingyun2 ; FAN Junchen2 ; JIANG Lingxin2 ; ZHANG Na2 ; ZHENG Mengchao1 ; LONG Yufei1 ; GAO Guihua3 ; YAN Taoling3 ; LAN Tianshu2,4
Chinese Journal of Cancer Biotherapy 2025;32(3):239-246
[摘 要] 目的:构建程序性死亡受体1(PD-1)高表达的细菌质膜纳米囊泡(BMV)BMV-PD-1,评估其对小鼠肺癌移植瘤组织的靶向性。方法:通过质粒转化将PD-1与膜孔蛋白细胞溶素A(ClyA)融合质粒ClyA-PD-1-EGFP转入大肠杆菌BL21-Codonplus,使用激光共聚焦显微镜、SDS-PAGE和WB法检测融合蛋白ClyA-PD-1-EGFP的表达。提取质膜并采用挤出法,利用挤出器制备BMV-PD-1。采用透射电子显微镜(TEM)、纳米粒子跟踪分析(NTA)技术分别对BMV-PD-1的形态、粒径和膜电位进行检测,用WB鉴定PD-1蛋白的携带情况。采用激光共聚焦成像检测Lewis肺癌LLC细胞对BMV-PD-1的摄取。建立肺癌LLC细胞C57BL/6J小鼠皮下移植瘤模型,采用小动物活体成像系统评估BMV-PD-1的肿瘤靶向性。结果:激光共聚焦显微成像结果显示,质粒ClyA-PD-1-EGFP被转入BL21-Codonplus并成功表达蛋白。SDS-PAGE结果表明,ClyA-PD-1-EGFP在BL21-Codonplus中过表达。WB分析表明,PD-1在细菌中表达且在BMV-PD-1上呈高表达(P < 0.001)状态。NTA和TEM分析表明,BMV-PD-1是一种粒径为(145 ± 14) nm、表面呈负电性的球状囊泡。激光共聚焦成像显示,PD-1高表达能显著提升肺癌细胞对BMV-PD-1的摄取(P < 0.01),小动物活体成像也进一步证实PD-1高表达能有效提升BMV-PD-1的肿瘤靶向性(P < 0.01)。结论:本研究成功构建了PD-1高表达的细菌纳米囊泡BMV-PD-1,发现PD-1高表达可显著提高BMV-PD-1的肺癌LLC细胞移植瘤组织的靶向性,为进一步开发以BMV-PD-1为载体的肿瘤靶向药物递送系统奠定基础。
2.Investigation of an outbreak of group A human G9P [8] rotavirus infectious diarrhea among adults in Chongqing
Yang WANG ; Yuan KONG ; Ning CHEN ; Lundi YANG ; Jiang LONG ; Qin LI ; Xiaoyang XU ; Wei ZHENG ; Hong WEI ; Jie LU ; Quanjie XIAO ; Yingying BA ; Wenxi WU ; Qian XU ; Ju YAN
Shanghai Journal of Preventive Medicine 2025;37(8):663-668
ObjectiveTo investigate and analyze an outbreak of rotavirus infectious diarrhea in a prison in Chongqing Municipality, to provide a basis for adult rotavirus surveillance and prevention, and to explore the public health problems in special settings. MethodsA retrospective survey was conducted to collect and analyze data on individual cases with diarrheal disease on-site. The clinical characteristics, as well as the temporal, spatial and geographical distribution patterns of the epidemic were described. Multi-pathogen detection tests were conducted both on diarrhea cases and environmental samples, with viral genotyping performed on positive samples. A case-control analysis was performed to identify the causes of the outbreak, and an SEIR model was adopted to predict the outbreak trend and evaluate the effectiveness of interventions. ResultsA total of 65 cases were found among the inmates, with an attack rate of 2.03%. The predominant clinical manifestations included diarrhea (89.23%), watery stool (73.85%), and dehydration (18.46%). The epidemic curve indicated a “human-to-human” transmission pattern, with an average incubation period of 5‒6 days. The attack rates among chefs in the main canteen (80.00%, 8/10) and caterers (28.33%, 17/60) were significantly higher than those of other inmates (P<0.05). Multi-pathogen polymerase chain reaction (PCR) testing detected positive for group A rotavirus, with the viral genotyping identified as G9P [8] strain. Factors such as unprotected "bare-handed" food distribution among cases with diarrhea (OR=9.512, 95%CI: 4.261‒21.234) and close contact with diarrhea cases (OR=3.656, 95%CI: 1.719‒7.778) were the possible cause of the outbreak. The SEIR model (r0=5, α=0.3, β1=0.08, β2=0.04) was constructed using prison inmates as susceptible population, aiming at fitting the initial transmission trend of the outbreak, and the epidemic rate declined rapidly after intervention measures were implemented (rt≈0). ConclusionThis rare rotavirus infection diarrhea outbreak among adults in confined settings suggests that the construction of public health prevention and control systems in prison may be overlooked. Cross infection during meal processing and distribution in the canteens of such settings is likely to be the cause of the outbreak. Given the potential neglect of public heath system construction in special settings, it is imperative to enhance the surveillance and monitoring of rotavirus and other intestinal multi-pathogens among adults, as well as the construction of public health prevention and control systems in these special settings.
3.Development of oral preparations of poorly soluble drugs based on polymer supersaturated self-nanoemulsifying drug delivery technology.
Xu-Long CHEN ; Jiang-Wen SHEN ; Wei-Wei ZHA ; Jian-Yun YI ; Lin LI ; Zhang-Ting LAI ; Zheng-Gen LIAO ; Ye ZHU ; Yue-Er CHENG ; Cheng LI
China Journal of Chinese Materia Medica 2025;50(16):4471-4482
Poor water solubility is the primary obstacle preventing the development of many pharmacologically active compounds into oral preparations. Self-nanoemulsifying drug delivery systems(SNEDDS) have become a widely used strategy to enhance the oral bioavailability of poorly soluble drugs by inducing a supersaturated state, thereby improving their apparent solubility and dissolution rate. However, the supersaturated solutions formed in SNEDDS are thermodynamically unstable systems with solubility levels exceeding the crystalline equilibrium solubility, making them prone to drug precipitation in the gastrointestinal tract and ultimately hindering drug absorption. Therefore, maintaining a stable supersaturated state is crucial for the effective delivery of poorly soluble drugs. Incorporating polymers as precipitation inhibitors(PPIs) into the formulation of supersaturated self-nanoemulsifying drug delivery systems(S-SNEDDS) can inhibit drug aggregation and crystallization, thus maintaining a stable supersaturated state. This has emerged as a novel preparation strategy and a key focus in SNEDDS research. This review explores the preparation design of SNEDDS and the technical challenges involved, with a particular focus on polymer-based S-SNEDDS for enhancing the solubility and oral bioavailability of poorly soluble drugs. It further elucidates the mechanisms by which polymers participate in transmembrane transport, summarizes the principles by which polymers sustain a supersaturated state, and discusses strategies for enhancing drug absorption. Altogether, this review provides a structured framework for the development of S-SNEDDS preparations with stable quality and reduced development risk, and offers a theoretical reference for the application of S-SNEDDS technology in improving the oral bioavailability of poorly soluble drugs.
Solubility
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Administration, Oral
;
Polymers/chemistry*
;
Drug Delivery Systems/methods*
;
Humans
;
Emulsions/chemistry*
;
Biological Availability
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Animals
;
Pharmaceutical Preparations/administration & dosage*
4.Impact of Spinal Manipulative Therapy on Brain Function and Pain Alleviation in Lumbar Disc Herniation: A Resting-State fMRI Study.
Xing-Chen ZHOU ; Shuang WU ; Kai-Zheng WANG ; Long-Hao CHEN ; Zi-Cheng WEI ; Tao LI ; Zi-Han HUA ; Qiong XIA ; Zhi-Zhen LYU ; Li-Jiang LYU
Chinese journal of integrative medicine 2025;31(2):108-117
OBJECTIVE:
To elucidate how spinal manipulative therapy (SMT) exerts its analgesic effects through regulating brain function in lumbar disc herniation (LDH) patients by utilizing resting-state functional magnetic resonance imaging (rs-fMRI).
METHODS:
From September 2021 to September 2023, we enrolled LDH patients (LDH group, n=31) and age- and sex-matched healthy controls (HCs, n=28). LDH group underwent rs-fMRI at 2 distinct time points (TPs): prior to the initiation of SMT (TP1) and subsequent to the completion of the SMT sessions (TP2). SMT was administered once every other day for 30 min per session, totally 14 treatment sessions over a span of 4 weeks. HCs did not receive SMT treatment and underwent only one fMRI scan. Additionally, participants in LDH group completed clinical questionnaires on pain using the Visual Analog Scale (VAS) and the Japanese Orthopedic Association (JOA) score, whereas HCs did not undergo clinical scale assessments. The effects on the brain were jointly characterized using the amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo). Correlation analyses were conducted between specific brain regions and clinical scales.
RESULTS:
Following SMT treatment, pain symptoms in LDH patients were notably alleviated and accompanied by evident activation of effects in the brain. In comparison to TP1, TP2 exhibited the most significant increase in ALFF values for Temporal_Sup_R and the most notable decrease in ALFF values for Paracentral_Lobule_L (voxelwise P<0.005; clusters >30; FDR correction). Additionally, the most substantial enhancement in ReHo values was observed for the Cuneus_R, while the most prominent reduction was noted for the Olfactory_R (voxelwise P<0.005; clusters >30; FDR correction). Moreover, a comparative analysis revealed that, in contrast to HCs, LDH patients at TP1 exhibited the most significant increase in ALFF values for Temporal_Pole_Sup_L and the most notable decrease in ALFF values for Frontal_Mid_L (voxelwise P<0.005; clusters >30; FDR correction). Furthermore, the most significant enhancement in ReHo values was observed for Postcentral_L, while the most prominent reduction was identified for ParaHippocampal_L (voxelwise P<0.005; clusters >30; FDR correction). Notably, correlation analysis with clinical scales revealed a robust positive correlation between the Cuneus_R score and the rate of change in the VAS score (r=0.9333, P<0.0001).
CONCLUSIONS
Long-term chronic lower back pain in patients with LDH manifests significant activation of the "AUN-DMN-S1-SAN" neural circuitry. The visual network, represented by the Cuneus_R, is highly likely to be a key brain network in which the analgesic efficacy of SMT becomes effective in treating LDH patients. (Trial registration No. NCT06277739).
Humans
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Magnetic Resonance Imaging
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Intervertebral Disc Displacement/diagnostic imaging*
;
Male
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Female
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Brain/diagnostic imaging*
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Adult
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Manipulation, Spinal/methods*
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Middle Aged
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Lumbar Vertebrae/physiopathology*
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Pain Management
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Rest
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Case-Control Studies
5.Mining and evaluation of relugolix-related cardiovascular safety signals
Yongchun LIN ; Long MENG ; Jiajun ZHENG ; Huiming JIANG
China Pharmacy 2024;35(18):2278-2282
OBJECTIVE To mine the cardiovascular safety signal of relugolix, and provide a reference for the listing of this drug in China and future clinical safety drug evaluation. METHODS The adverse event (AE) report data of relugolix, as the primary or secondary suspected drug, was collected from the FDA Adverse Event Reporting System (FAERS) from the first quarter of 2021 to the third quarter of 2023. The reporting odds ratio (ROR) method was used for data mining. The AEs in the FAERS database were identified and coded using preferred terms (PT) stated in version 24.0 of the Medical Dictionary for Drug Regulatory Activities (MedDRA). The AEs of the target drug were identified by the narrow standardized MedDRA query (SMQ) terms and high-level term (HLT). Sensitivity analysis was conducted using AEs suspected to be primarily or secondarily related to relugolix or related to drug interaction and concomitant drug, and broad SMQ terms. RESULTS A total of 4 354 relugolix-related AE reports were extracted. In the primary analysis, nine SMQ terms were analyzed, involving 2 positive signals such as dyslipidemia and hyperglycemia/new onset diabetes mellitus. Eleven HLTs were analyzed, and three positive signals were detected for three terms including cholesterol analyses, triglyceride analyses and hyperglycemia conditions (non-alternative analysis). Sensitivity analysis results indicated the reliability of the study findings. CONCLUSIONS Relugolix may induce risk signals related to high blood lipids and high blood glucose, but no moderate risk signals such as hypertension, heart disease, and stroke are found. During relugolix treatment in clinical practice, attention must be paid to hyperlipidemia and hyperglycemia-related AE.
6.Research progress of artificial intelligence combined with physiologically based pharmacokinetic models
Long-jie LI ; Pei-ying JI ; Ao-le ZHENG ; Muyesaier ALIFU ; Xiao-qiang XIANG
Acta Pharmaceutica Sinica 2024;59(9):2491-2498
Physiologically based pharmacokinetic (PBPK) models have been widely used to predict various stages of drug absorption, distribution, metabolism and excretion. Models based on machine learning (ML) and artificial intelligence (AI) can provide better ideas for the construction of PBPK models, which can accelerate the prediction speed and improve the prediction quality of PBPK. ML and AL can complement the advantages of PBPK model to accelerate the progress of drug research and development. This review introduces the application of machine learning and artificial intelligence in pharmacokinetics, summarizes the research progress of physiological pharmacokinetic models based on machine learning and artificial intelligence, and analyzes the limitations of machine learning and artificial intelligence applications and their application prospects and prospects.
7.Effect of Ophiopogonin D on lipopolysaccharide-induced apoptosis of alveolar epithelial cells
Qing-Xin KANG ; Shen-Shan JIAO ; Zheng XIONG ; Hui-Ming XI ; Xun-Sheng JIANG ; Zi-Long ZHANG
The Chinese Journal of Clinical Pharmacology 2024;40(12):1744-1748
Objective To investigate the effect of Ophiopogonin D on lipopolysaccharide(LPS)-induced apoptosis of alveolar epithelial cells by regulating the interleukin-6(IL-6)/Janus kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)signaling pathway.Methods A549 AT Ⅱ cells cultured in vitro were randomly divided into four groups:control group,LPS group,LPS+Ophiopogonin D group,LPS+Ophiopogonin D+colivelin(JAK2/STAT3 signal activator)group,except for the control group,and cells in all other groups were established injury models while being grouped with Ophiopogonin D and colivelin for treatment.Cell counting kit-8(CCK-8)experiment and flow cytometry were applied to detect cell proliferation and apoptosis in each group;Western blotting was applied to detect the expression of IL-6/JAK2/STAT3 signaling pathway proteins of cells in each group.Results The apoptosis rates of A549 cells in control group,LPS group,LPS+Ophiopogonin D group and LPS+Ophiopogonin D+colivelin group were(2.52±0.73)%,(52.43±4.14)%,(1.67±0.52)%and(47.94±3.43)%;IL-6 protein levels were 0.14±0.03,0.49±0.05,0.17±0.04 and 0.45±0.06,and p-JAK2/JAK2 protein levels were 0.17±0.04,0.64±0.08,0.19±0.06 and 0.61±0.07;p-STAT3/STAT3 protein levels were 0.20±0.06,0.69±0.10,0.22±0.07 and 0.65±0.09;the apoptosis rates of AT Ⅱ cells were(3.01±0.69)%,(55.16±3.94)%,(2.35±0.71)%and(50.28±3.78)%;the levels of IL-6 protein were 0.11±0.03,0.87±0.13,0.19±0.04 and 0.84±0.12;the p-JAK2/JAK2 protein levels were 0.13±0.04,0.56±0.08,0.15±0.03 and 0.53±0.07;p-STAT3/STAT3 protein levels were 0.30±0.08,0.79±0.14,0.33±0.09 and 0.75±0.13.The above indexes:control group,LPS+Ophiopogonin D group compared with LPS group,LPS+Ophiopogonin D+colivelin group compared with LPS+Ophiopogonin D group,the differences were statistically significant(all P<0.05).Conclusion Ophiopogonin D can reduce LPS induced inflammation and oxidative stress levels by inhibiting the activation of IL-6/JAK2/STAT3 signaling pathway,ultimately reducing LPS-induced apoptosis of alveolar epithelial cells.
8.Experts consensus on standard items of the cohort construction and quality control of temporomandibular joint diseases (2024)
Min HU ; Chi YANG ; Huawei LIU ; Haixia LU ; Chen YAO ; Qiufei XIE ; Yongjin CHEN ; Kaiyuan FU ; Bing FANG ; Songsong ZHU ; Qing ZHOU ; Zhiye CHEN ; Yaomin ZHU ; Qingbin ZHANG ; Ying YAN ; Xing LONG ; Zhiyong LI ; Yehua GAN ; Shibin YU ; Yuxing BAI ; Yi ZHANG ; Yanyi WANG ; Jie LEI ; Yong CHENG ; Changkui LIU ; Ye CAO ; Dongmei HE ; Ning WEN ; Shanyong ZHANG ; Minjie CHEN ; Guoliang JIAO ; Xinhua LIU ; Hua JIANG ; Yang HE ; Pei SHEN ; Haitao HUANG ; Yongfeng LI ; Jisi ZHENG ; Jing GUO ; Lisheng ZHAO ; Laiqing XU
Chinese Journal of Stomatology 2024;59(10):977-987
Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.
9.Interpretation of Chinese experts consensus on artificial intelligence assisted management for pulmonary nodule (2022 version)
Yaobin LIN ; Yongbin LIN ; Zerui ZHAO ; Zhichao LIN ; Long JIANG ; Bin ZHENG ; Hu LIAO ; Wanpu YAN ; Bin LI ; Luming WANG ; Hao LONG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2023;30(05):665-671
The increasing number of pulmonary nodules being detected by computed tomography scans significantly increase the workload of the radiologists for scan interpretation. Limitations of traditional methods for differential diagnosis of pulmonary nodules have been increasingly prominent. Artificial intelligence (AI) has the potential to increase the efficiency of discrimination and invasiveness classification for pulmonary nodules and lead to effective nodule management. Chinese Experts Consensus on Artificial Intelligence Assisted Management for Pulmonary Nodule (2022 Version) has been officially released recently. This article closely follows the context, significance, core implications, and the impact of future AI-assisted management on the diagnosis and treatment of pulmonary nodules. It is hoped that through our joint efforts, we can promote the standardization of management for pulmonary nodules and strive to improve the long-term survival and postoperative life quality of patients with lung cancer.
10.The relationship between genetic polymorphism of CYP2C19 and the efficacy of Helicobacter pylori eradication therapy in children.
Ling Ling LUO ; Bo CHEN ; Xiao Li SHU ; Wei ZHENG ; Gao LONG ; Mi Zu JIANG
Chinese Journal of Pediatrics 2023;61(7):600-605
Objective: To investigate the relationship between genetic polymorphisms of cytochrome P450 2C19 (CYP2C19) and the efficacy of Helicobacter pylori (Hp) eradication therapy in children. Methods: The retrospective cohort study was conducted on 125 children with gastroscopy and positive rapid urease test (RUT) from September 2016 to December 2018 who presented to the Children's Hospital of Zhejiang University School of Medicine due to gastrointestinal symptoms including nausea, vomiting, abdominal pain, bloating, acid reflux, heartburn, chest pain, vomiting blood and melena. Hp culture and drug susceptibility test were carried out with gastric antrum mucosa before treatment. All the patients completed 2 weeks of standardized Hp eradication therapy and had 13C urea breath test 1 month after that, which was used to evaluate the curative effect. The DNA of gastric mucosa after RUT was analyzed and CYP2C19 gene polymorphism was detected. Children were grouped according to metabolic type. Combined with the results of Hp culture and drug susceptibility, the relationship between CYP2C19 gene polymorphism and the efficacy of Hp eradicative treatment was analyzed in children. Chi square test was used for row and column variables, and Fisher exact test was used for comparison between groups. Results: One hundred and twenty five children were enrolled in the study, of whom 76 were males and 49 females. The genetic polymorphism of CYP2C19 in these children found poor metabolizer (PM) of 30.4% (38/125), intermediate metabolizer (IM) of 20.8% (26/125), normal metabolizer (NM) of 47.2% (59/125), rapid metabolizer (RM) of 1.6% (2/125), and ultrarapid metabolizer (UM) of 0. There were statistically significant in positive rate of Hp culture among these groups (χ2=124.00, P<0.001). In addition, the successful rates of Hp eradication in PM, IM, NM and RM genotypes were 84.2% (32/38), 53.8% (14/26), 67.8% (40/59), and 0, respectively, with significant differences (χ2=11.35, P=0.010); those in IM genotype was significantly lower than that in PM genotype (P=0.011). With the same standard triple Hp eradicative regimen, the successful rate of Hp eradication for IM type was 8/19, which was lower than that of PM (80.0%, 24/30) and NM type (77.3%, 34/44) (P=0.007 and 0.007, respectively). There was a significant difference in the efficacy of Hp eradication treatment among different genotypes (χ2=9.72, P=0.008). According to the clarithromycin susceptibility result, the successful rate of Hp eradication treatment for IM genotype was 4/15 in the sensitive group and 4/4 in the drug-resistant group (χ2=6.97, P=0.018). Conclusions: The genetic polymorphism of CYP2C19 in children is closely related to the efficacy of Hp eradication treatment. PM has a higher successful rate of eradication treatment than the other genotypes.
Female
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Male
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Humans
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Child
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Cytochrome P-450 CYP2C19/genetics*
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Helicobacter pylori
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Retrospective Studies
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Genotype
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Abdominal Pain

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