1.Identification of Chemical Constituents of Painong Powder and Constituents Absorbed into Blood by UHPLC-Q-Orbitrap-MS
Han SUN ; Hongsu ZHAO ; Zihua XUAN ; Jinwei QIAO ; Fangfang ZHANG ; Manqin YANG ; Shuangying GUI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):256-263
ObjectiveTo study the chemical constituents of Painong powder and the constituents absorbed into blood after oral administration to rats by ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry (UPLC-Q-Orbitrap-MS). MethodsUPLC-Q-Orbitrap-MS was employed for mass spectrometry data acquisition. The chemical constituents of Painong Powder and the constituents absorbed into blood were characterized and identified via Xcalibur 4.2 and Compound Discoverer v3.3.1 (CD) based on retention time, accurate molecular weights, secondary fragmentation ions, and comparison with reference standards and literature reports. ResultsA total of 176 chemical compounds, including 56 flavonoids, 42 triterpenoid saponins, 23 monoterpenes, 7 coumarins, 5 tannins, and other 43 compounds were identified from Painong powder. 49 components were identified in the rat plasma after oral administration of Painong powder, including 33 prototype constituents and 16 metabolites. The major metabolic pathways included hydrolysis in phase Ⅰ metabolic reactions, as well as methylation, sulfation, and glucuronidation in phase Ⅱ metabolic reaction. ConclusionThe method comprehensively identified the chemical constituents of Painong powder both in vitro and in vivo, and may provide a reference for the study of quality control and clinical applications.
2.Ethical reflections on the clinical application of medical artificial intelligence
Fangfang CUI ; Zhonglin LI ; Xianying HE ; Wenchao WANG ; Yuntian CHU ; Xiaobing SHI ; Jie ZHAO
Chinese Medical Ethics 2025;38(2):159-165
Medical artificial intelligence (AI) is a new type of application formed by the combination of machine learning, computer vision, natural language processing, and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies, medical AI has shown great potential in improving the efficiency of diagnosis and treatment, and service quality, but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed, including the lack of algorithmic interpretability and transparency of medical AI, leading to information asymmetry and cognitive discrepancies; the concerning status of security and privacy protection of medical data; and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI, resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests, physician’s subjectivity, fairness and inclusiveness, and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives, including standardizing the environment and processes, clarifying responsibility attribution, continuously assessing the impact of data protection, guaranteeing data security, ensuring model transparency and interpretability, carrying out multi-subject collaboration, as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI, ensuring technological progress while effectively managing and mitigating accompanying ethical risks, thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.
3.Expert consensus on apical microsurgery.
Hanguo WANG ; Xin XU ; Zhuan BIAN ; Jingping LIANG ; Zhi CHEN ; Benxiang HOU ; Lihong QIU ; Wenxia CHEN ; Xi WEI ; Kaijin HU ; Qintao WANG ; Zuhua WANG ; Jiyao LI ; Dingming HUANG ; Xiaoyan WANG ; Zhengwei HUANG ; Liuyan MENG ; Chen ZHANG ; Fangfang XIE ; Di YANG ; Jinhua YU ; Jin ZHAO ; Yihuai PAN ; Shuang PAN ; Deqin YANG ; Weidong NIU ; Qi ZHANG ; Shuli DENG ; Jingzhi MA ; Xiuping MENG ; Jian YANG ; Jiayuan WU ; Yi DU ; Junqi LING ; Lin YUE ; Xuedong ZHOU ; Qing YU
International Journal of Oral Science 2025;17(1):2-2
Apical microsurgery is accurate and minimally invasive, produces few complications, and has a success rate of more than 90%. However, due to the lack of awareness and understanding of apical microsurgery by dental general practitioners and even endodontists, many clinical problems remain to be overcome. The consensus has gathered well-known domestic experts to hold a series of special discussions and reached the consensus. This document specifies the indications, contraindications, preoperative preparations, operational procedures, complication prevention measures, and efficacy evaluation of apical microsurgery and is applicable to dentists who perform apical microsurgery after systematic training.
Microsurgery/standards*
;
Humans
;
Apicoectomy
;
Contraindications, Procedure
;
Tooth Apex/diagnostic imaging*
;
Postoperative Complications/prevention & control*
;
Consensus
;
Treatment Outcome
4.Correlation between social jetlag and psychological behavior in upper primary school students
ZHAO Ruilan*, ZHU Guiyin, PENG Tao, ZHEN Guoxin, ZHAO Fangfang, SONG Qingqing, LI Li, MA Yinghua
Chinese Journal of School Health 2025;46(3):364-367
Objective:
To investigate the correlation between social jetlag and psychological behavior in upper primary school students,so as to provide reference for sleep health promotion in primary school students.
Methods:
From April to June 2024, a survey was conducted among 4 341 fourth and fifth grade students from 9 public primary schools in a district in Beijing. Sleep patterns were assessed using a self designed questionnaire, while psychological behavior was evaluated using the Strengths and Difficulties Questionnaire (SDQ)(parent version). A generalized estimating equation (GEE) model was used to examine the association between different levels of social jetlag and psychological behavior problem scores in primary school students.
Results:
The proportions of students with social jetlag of <1.0, 1.0-<2.0, and ≥2.0 h were 57.6%, 30.6%, and 11.8%, respectively. The GEE model analysis found that after adjusting for covariates, compared with primary school students with social jetlag of <1.0 h, those with 1.0 -<2.0 and ≥2.0 h had higher scores for internalizing behavior problems [ β (95% CI ) =0.23(0.05-0.41),0.28(0.02-0.54), P < 0.01]. Primary school students with ≥2.0 h of social jetlag had higher scores for externalizing behavior problems [ β (95% CI )=0.42 (0.13-0.71), P <0.01]. Among boys and primary school students with an average nighttime sleep duration of ≥9 h, comparied with social jetlag of <1.0 h,those with sucial jetlag 1.0-<2.0 h had higher scores on internalizing and externalizing behavior problems[ β (95% CI )=0.32(0.07-0.56),0.51 (0.11-0.90), 0.26 (0.06-0.46),0.58 (0.25-0.91), P <0.05].
Conclusions
Greater social jetlag may be a risk factor for internalizing and externalizing behavior problems in upper primary school students. Reducing social jetlag may help decrease the occurrence of psychological behavior problems in primary school students.
5.Construction of SPHK1 overexpression lentiviral vectors and establishment of stable transfected SKOV3 cell lines
Qiuyuan SU ; Ling ZHAO ; Jiajia TAN ; Shien MO ; Haiqin ZHOU ; Fangfang LU ; Yi WEI ; Yang ZHOU ; Yan KUANG
Journal of Jilin University(Medicine Edition) 2025;51(6):1709-1716
Objective:To construct the sphingosine kinase 1(SPHK1)overexpression lentiviral vector,and to establish the SKOV3 lentiviral stable transfection cell line.Methods:According to the SPHK1 data information provided by the National Center for Biotechnology Information(NCBI)database,the primers were designed and synthesized,the target gene was amplified,and connected to the GV492 plasmid treated with Bam HⅠ and AgeⅠ restriction enzymes to construct the SPHK1 overexpression lentiviral vector;the positive clones were selected for PCR and sequencing identification;the lentiviral plasmid and the lentiviral packaging auxiliary plasmid were co-transfected into the HEK-293T cells for packaging and titer determination;according to the measured optimal multiplicity of infection(MOI)of 10,the corresponding lentiviral amounts in various groups were transfected into the SKOV3 cells,and the SKOV3 cells were divided into blank group(without treatment),GV492 control group(GV492 control lentivirus infected SKOV3 cells),and GV492-SPHK1 overexpression group(GV492-SPHK1 overexpression lentivirus infected SKOV3 cells,ov-SPHK1 group);the optimal concentration of 2 mg·L-1 puromycin was used to screen the stably transfected SKOV3 cell line;after 48 h,the medium was changed and replaced with 1 mg·L-1 puromycin for screening for 14 d;the morphology and fluorescence expression of the cells were observed under fluorescence microscope;real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression levels of SPHK1 mRNA in the SKOV3 cells in various groups;Western blotting method was used to detect the expression level of SPHK1 protein in the SKOV3 cells in various groups.Results:The PCR sequencing results showed that the gene sequence of the SPHK1 overexpression lentiviral vector was completely consistent with the target sequence,and the SPHK1 overexpression lentiviral vector was successfully constructed;the titer determination results showed that the lentiviral titers in GV492 control group and ov-SPHK1 group were 5×1011 and 8×1011 TU·L?1,respectively;the SKOV3 cells in GV492 control group and ov-SPHK1 group were in good state and showed strong fluorescence expression,suggesting that the SKOV3 stable transfection cell line overexpressing SPHK1 was successfully established;the RT-qPCR results showed that compared with blank group and GV492 control group,the expression level of SPHK1 mRNA in the SKOV3 cells in ov-SPHK1 group was significantly increased(P<0.01);the Western blotting results showed that compared with blank group and GV492 control group,the expression level of SPHK1 protein in the SKOV3 cells in ov-SPHK1 group was significantly increased(P<0.01).Conclusion:The SPHK1 overexpression lentiviral vector is successfully constructed,and the SKOV3 stable transfection cell line is established.
6.Microbial metabolite 3-indolepropionic acid alleviated PD pathologies by decreasing enteric glia cell gliosis via suppressing IL-13Rα1 related signaling pathways.
Meiyu SHANG ; Jingwen NING ; Caixia ZANG ; Jingwei MA ; Yang YANG ; Zhirong WAN ; Jing ZHAO ; Yueqi JIANG ; Qiuzhu CHEN ; Yirong DONG ; Jinrong WANG ; Fangfang LI ; Xiuqi BAO ; Dan ZHANG
Acta Pharmaceutica Sinica B 2025;15(4):2024-2038
Although enteric glial cell (EGC) abnormal activation is reported to be involved in the pathogenesis of Parkinson's disease (PD), and inhibition of EGC gliosis alleviated gut and dopaminergic neuronal dysfunction was verified in our previous study, the potential role of gut microbiota on EGC function in PD still need to be addressed. In the present study, fecal microbiota transplantation revealed that EGC function was regulated by gut microbiota. By employing 16S rRNA and metabolomic analysis, we identified that 3-indolepropionic acid (IPA) was the most affected differential microbial metabolite that regulated EGC gliosis. The protective effects of IPA on PD were validated in rotenone-stimulated EGCs and rotenone (30 mg/kg i.g. for 4 weeks)-induced PD mice, as indicated by decreased inflammation, improved intestinal and brain barrier as well as dopaminergic neuronal function. Mechanistic study showed that IPA targeted pregnane X receptor (PXR) in EGCs, and inhibition of IL-13Rα1 involved cytokine-cytokine receptor interaction pathway, leading to inactivation of downstream JAK1-STAT6 pathway. Our data not only provided evidence that EGC gliosis was critical in spreading intestinal damage to brain, but also highlighted the potential role of microbial metabolite IPA in alleviating PD pathological damages through gut-brain axis.
7.Erratum: Author correction to "Microbial metabolite 3-indolepropionic acid alleviated PD pathologies by decreasing enteric glia cell gliosis via suppressing IL-13Rα1 related signaling pathways" Acta Pharm Sin B 15 (2025) 2024-2038.
Meiyu SHANG ; Jingwen NING ; Caixia ZANG ; Jingwei MA ; Yang YANG ; Zhirong WAN ; Jing ZHAO ; Yueqi JIANG ; Qiuzhu CHEN ; Yirong DONG ; Jinrong WANG ; Fangfang LI ; Xiuqi BAO ; Dan ZHANG
Acta Pharmaceutica Sinica B 2025;15(9):4972-4972
[This corrects the article DOI: 10.1016/j.apsb.2025.02.029.].
8.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
9.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
10.Development of a community toolkit for identifying and managing mild cognitive impairment among older adults
Junli CHEN ; Han ZHANG ; Zhixue SHI ; Ya LIU ; Yingzhe ZHAO ; Zhiwei DONG ; Lihong JI ; Haiyan LI ; Fangfang CHEN ; Chunping WANG ; Anning MA ; Qi JING
Chinese Journal of Rehabilitation Theory and Practice 2025;31(6):692-702
Objective To develop a toolkit suitable for assisting community health institutions in the early identification and inter-vention of mild cognitive impairment(MCI)among older adults.Methods A literature review was conducted to construct a draft of the identification and intervention toolkit.Tools with an expert approval rate above 70%were included after expert consultation.The final version of the toolkit was developed by integrating these tools with officially recommended tools in China.Results The expert consultation yielded an authority coefficient of 0.84.The finalized toolkit included the assessment tools of Mini-Mental State Examination,Montreal Cognitive Assessment,General Practitioner Assessment of Cognition,Cognitive Abilities Screening Instrument and Clock Drawing Test,and 18 intervention measures in-cluding pharmacological treatment,cognitive training and psychological interventions,etc.Conclusion The MCI Identification-Intervention Toolkit may serve as a reference for guiding the identification and inter-vention of MCI among older adults for community health institutions.


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