1.Comparison of Wild and Cultivated Gardeniae Fructus Based on Traditional Quality Evaluation
Yuanjun SHANG ; Bo GENG ; Xin CHEN ; Qi WANG ; Guohua ZHENG ; Chun LI ; Zhilai ZHAN ; Junjie HU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):225-234
ObjectiveBased on traditional quality evaluation of Gardeniae Fructus(GF) recorded in historical materia medica, this study systematically compared the quality differences between wild and cultivated GF from morphological characteristics, microscopic features, and contents of primary and secondary metabolites. MethodsVernier calipers and analytical balances were used to measure the length, diameter and individual fruit weight of wild and cultivated GF, and the aspect ratio was calculated. A colorimeter was used to determine the chromaticity value of wild and cultivated GF, and the paraffin sections of them were prepared by safranin-fast green staining and examined under an optical microscope to observe their microstructure. Subsequently, the contents of water-soluble and alcohol-soluble extracts of wild and cultivated GF were detected by hot immersion method under the general rule 2201 in volume Ⅳ of the 2020 edition of the Pharmacopoeia of the People's Republic of China, the starch content was measured by anthrone colorimetric method, the content of total polysaccharides was determined by phenol-sulfuric acid colorimetric method, the sucrose content was determined by high performance liquid chromatography coupled with evaporative light scattering detection(HPLC-ELSD), and the contents of representative components in them were measured by ultra-performance liquid chromatography(UPLC). Finally, correlation analysis was conducted between quality traits and phenotypic traits, combined with multivariate statistical analysis methods such as principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA), key differential components between wild and cultivated GF were screened. ResultsIn terms of traits, the wild GF fruits were smaller, exhibiting reddish yellow or brownish red hues with significant variation between batches. While the cultivated GF fruits are larger, displaying deeper orange-red or brownish red. The diameter and individual fruit weight of cultivated GF were significantly greater than those of wild GF, while the blue-yellow value(b*) of wild GF was significantly higher than that of cultivated GF. In the microstructure, the mesocarp of wild GF contained numerous scattered calcium oxalate cluster crystals, while the endocarp contained stone cell class round, polygonal or tangential prolongation, undeveloped seeds were visible within the fruit. In contrast, the mesocarp of cultivated GF contained few calcium oxalate cluster crystals, or some batches exhibited extremely numerous cluster crystals. The stone cells in the endocarp were predominantly round-like, with the innermost layer arranged in a grid pattern. Seeds were basically mature, and only a few immature seeds existed in some batches. Regarding primary metabolite content, wild GF exhibited significantly higher total polysaccharide level than cultivated GF(P<0.01). In category-specific component content, wild GF exhibited significantly higher levels of total flavonoids and total polyphenols compared to cultivated GF(P<0.01). Analysis of 12 secondary metabolites revealed that wild GF exhibited significantly higher levels of Shanzhiside, deacetyl asperulosidic acid methyl ester, gardenoside and chlorogenic acid compared to cultivated GF(P<0.01). Conversely, the contents of genipin 1-gentiobioside, geniposide and genipin were significantly lower in wild GF(P<0.01). ConclusionThere are significant differences between wild and cultivated GF in terms of traits, microstructure, and contents of primary and secondary metabolites. At present, the quality evaluation system of cultivated GF remains incomplete, and this study provides a reference for guiding the production of high-quality GF medicinal materials.
2.Pharmacological Review, Challenges, and Future Prospects of Zhusha Anshenwan
Xiaosong HU ; Zhou LAN ; Ping WANG ; Li DING ; Chun GUI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):329-335
Zhusha Anshenwan is a classical traditional Chinese medicine (TCM) formula originating from LI Dongyuan's Treatise on the Differentiation of Endogenous and Exogenous Injuries (Nei Wai Shang Bian Huo Lun) of the Jin-Yuan period. It is composed of five medicinal ingredients: Cinnabaris (Zhusha), Coptidis Rhizoma (Huanglian), Angelicae Sinensis Radix (Danggui), Rehmanniae Radix (Shengdihuang), and Glycyrrhizae Radix et Rhizoma (Gancao). Under the guidance of TCM theory, this formula is used to treat syndromes of disturbed spirit, including insomnia, palpitations, and anxiety, caused by hyperactivity of heart fire and deficiency of Yin-blood, and it also exerts auxiliary anticonvulsant effects in epilepsy and related conditions. However, the potential neurotoxicity, hepatotoxicity, and nephrotoxicity of its monarch drug, Cinnabaris (mainly composed of mercuric sulfide, HgS), together with the risk of in vivo accumulation, have rendered its clinical application controversial, and it has not yet been formally included in the Pharmacopoeia of the People's Republic of China. In addition, restrictions imposed by the Minamata Convention on Mercury have led to an increasing shortage of natural medicinal Cinnabaris resources, making the evaluation of the efficacy and safety of synthetic Cinnabaris particularly urgent. This contradiction highlights the complexity of safety evaluation for traditional medicines. Existing studies indicate that Zhusha Anshenwan exhibits definite pharmacological activities in calming the mind, improving sleep, and regulating emotional disorders. Moreover, other components of the formula may exert antagonistic effects on the toxicity of Cinnabaris, and reports of severe mercury poisoning caused by standardized clinical use of this prescription are extremely rare. Research suggests that other ingredients in the compound formula, such as Rehmanniae Radix, Coptidis Rhizoma, and Glycyrrhizae Radix et Rhizoma, may effectively alleviate the hepatorenal toxicity of Cinnabaris through mechanisms including modulation of the gut microbiota, formation of mercury complexes, and direct protection of target organs. This article aims to systematically review the progress in pharmacodynamic research on Zhusha Anshenwan, to explore its mechanisms of action in depth, and to analyze the toxicokinetic characteristics and safety risks of Cinnabaris, as well as the scientific connotations of toxicity reduction and efficacy enhancement achieved through compound compatibility. In addition, it compares Zhusha Anshenwan with other commonly used sedative formulas, with the aim of providing a scientific basis and forward-looking perspectives for the safe and rational application and in-depth development of this classical prescription in a modern context, and of emphasizing the important value of holistic research on TCM compound formulas in addressing the challenges of single-component toxicity.
3.Evaluate the anti-inflammatory activity of the magnolol ester derivative YW and investigate its mechanism of action on chondrocyte senescence
Haochen XU ; Jie PENG ; Pingting YANG ; Meihua ZHANG ; Weiwen HU ; Xulei WANG ; Wei WEI ; Chun WANG ; Shangxue YAN
Acta Universitatis Medicinalis Anhui 2026;61(5):845-854
ObjectiveTo evaluate the anti-inflammatory activity of the novel magnolol ester derivative YW and to investigate its effects on chondrocyte senescence and preliminary mechanisms. MethodsMagnolol and p-methylbenzoic acid were used as raw materials to synthesize the magnolol ester derivative YW (Molecular Formula: C26H24O3, Molecular Weight: 384.17, HPLC Purity >96%) via DCC/DMAP-catalyzed esterification. Cytotoxicity was assessed using the CCK-8 assay. A lipopolysaccharide (LPS)-induced RAW264.7 macrophage activation model and an interleukin-1β (IL-1β)-induced rat primary chondrocyte model were established. The release and mRNA expression of inflammatory factors including nitric oxide (NO), IL-1β, tumor necrosis factor-alpha (TNF-α), and IL-6 were detected by enzyme-linked immunosorbent assay (ELISA), Griess reagent method, and quantitative real-time PCR (RT-qPCR). The expression of senescence markers such as inducible nitric oxide synthase (iNOS), pro-interleukin-1β (pro-IL-1β), lysine acetyltransferase 7 (KAT7), cyclin-dependent kinase inhibitor 1A (p21), and cyclin-dependent kinase inhibitor 2A (p16), as well as proteins related to chondrocyte extracellular matrix synthesis and catabolism, were analyzed by Western blot (WB). Molecular docking was performed using Discovery Studio 2019 to validate target binding. ResultsYW exhibited no significant cytotoxicity at concentrations ≤20 μmol/L. YW concentration-dependently inhibited LPS-induced macrophage inflammatory cytokine release, significantly downregulated iNOS, Pro-IL-1β protein, and inflammatory cytokine mRNA expression (P<0.01). YW stably bound to KAT7 protein (binding energy: -94.2 kcal/mol); YW downregulated KAT7 and aging marker protein expression in naturally aged and IL-1β-induced chondrocyte models (P<0.01); YW regulated chondrocyte matrix synthesis and catabolic protein expression in IL-1β-induced chondrocytes (P<0.01). ConclusionYW inhibits macrophage activation and inflammatory cytokine release while downregulating KAT7 and senescence marker protein expression in chondrocytes, thereby blocking chondrocyte senescence.
4.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; 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(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
5.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
6.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; Yunjian HU ; Xiaoman AI ; 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 ; Hong ZHANG ; Chun WANG ; 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(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
7.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; 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 ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; 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 ; 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 ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
8.Performance evaluation of AI-enabled blood cell morphology system for peripheral blood smear and application in grading screening network of primary medical care system
Xiaobing SUN ; Gusheng TANG ; Kaiying YUAN ; Duanqin DIAO ; Jun HU ; Xiaoyuan SHI ; Hao YUAN ; Anmei WANG ; Yan FANG ; Liqin JIANG ; Xueliang QIN ; Chun XU ; Qi HOU ; Jiong WU
Chinese Journal of Clinical Laboratory Science 2025;43(4):246-252
Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86%,95.16%,and 95.10%,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90%.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59%,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24%,53.39%,and 62.37%for junior technicians,and to 92.06%,83.24%,and 83.12%for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46%,10.61%,and 3.71%for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13%)of red blood cell diseases,5 cases(0.16%)of platelet diseases,2 343 cases(76.90%)of infection-related disea-ses,and 28 cases(0.92%)of malignant hematological diseases.In addition,332 cases(10.90%)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.
9.Effects of Jisuishang Formula on neurological function and ferroptosis in a rat model of cervical spondylotic myelopathy
Han-li YANG ; Ming SHI ; Chun-zhi LIU ; Shao-hu LIN ; Ming-gao HU ; Xian-zhong BU ; Yuan-ming ZHONG ; Wei XU
Chinese Traditional Patent Medicine 2025;47(10):3233-3241
AIM To investigate the effects of Jisuishang Formula on neurological function and ferroptosis in a rat model of cervical spondylotic myelopathy(CSM).METHODS The CSM rat models were established and randomly assigned to the model group,the Fer-1 group(2 g/kg Ferrostatin-1 via intraperitoneal injection),the low-dose(9.7 g/kg,intragastrically),medium-dose(19.4 g/kg,intragastrically)and high-dose(38.8 g/kg,intragastrically)Jisuishang Formula groups,and the sham operation group,with 6 rats in each group.Following 4 weeks of treatment administration,BBB locomotor scores and oblique plate test result were recorded to assess their neurological function in rats.Histopathological evaluation utilized HE staining for spinal cord tissue pathology,Nissl staining for Nissl body visualization,and Prussian blue staining for iron ion deposition analysis.Protein expressions of Nrf2,SLC7A11,GPX4,HO-1,TFRC and Cox2 in spinal cord tissues was detected by immunofluorescence and Western blot,while mRNA expressions were quantified using RT-qPCR.RESULTS Compared to the sham group,the CSM model group exhibited significantly reduced BBB locomotor scores and inclined plane test performance at 1,2 and 4 weeks post-operation(P<0.05);obvious tissue cavitation,cellular edema and Prussian blue positive iron deposition in spinal cord tissues;downregulated protein and mRNA expressions of Nrf2,SLC7A11,GPX4,HO-1(P<0.05);and upregulated protein and mRNA expressions of TFRC and Cox2(P<0.05).Compared to the model group,the Jisuishang Formula and Fer-1 intervention groups showed significantly improved BBB scores and inclined plane test result at 1,2 and 4 weeks post-operation(P<0.05);reduced tissue cavitation,attenuated cellular edema and decreased Prussian blue positive iron deposition in spinal cord tissues;upregulated protein and mRNA expression of Nrf2,SLC7A11,GPX4 and HO-1 in spinal cord tissues(P<0.05);and downregulated protein and mRNA expressions of TFRC and Cox2(P<0.05).CONCLUSION Targeting the Nrf2/SLC7A11/GPX4 signaling pathway,Jisuishang Formula potentially suppresses ferroptosis and alleviates iron accumulation in spinal cord neurons,thereby improving neurological recovery in CSM rats.
10.Design, synthesis and biological evaluation of a novel class of indazole-containing compounds with potent anti-influenza activities targeting the PA-PB1 interface.
Yun-Sang TANG ; Chao ZHANG ; Jing XU ; Haibo ZHANG ; Zhe JIN ; Mengjie XIAO ; Nuermila YILIYAER ; Er-Fang HUANG ; Xin ZHAO ; Chun HU ; Pang-Chui SHAW
Acta Pharmaceutica Sinica B 2025;15(6):3163-3180
The PA-PB1 interface of the influenza polymerase is an attractive site for antiviral drug design. In this study, we designed and synthesized a mini-library of indazole-containing compounds based on rational structure-based design to target the PB1-binding interface on PA. Biological evaluation of these compounds through a viral yield reduction assay revealed that compounds 27 and 31 both had a low micromolar range of the half maximal effective concentration (EC50) values against A/WSN/33 (H1N1) (8.03 μmol/L for 27; 14.6 μmol/L for 31), while the most potent candidate 24 had an EC50 value of 690 nM. Compound 24 was effective against different influenza strains including a pandemic H1N1 strain and an influenza B strain. Mechanistic studies confirmed that compound 24 bound PA with a K d which equals to 1.88 μmol/L and disrupted the binding of PB1 to PA. The compound also decreased the lung viral titre in mice. In summary, we have identified a potent anti-influenza candidate with potency comparable to existing drugs and is effective against different viral strains. The therapeutic options for influenza infection have been limited by the occurrence of antiviral resistance, owing to the high mutation rate of viral proteins targeted by available drugs. To alleviate the public health burden of this issue, novel anti-influenza drugs are desired. In this study, we present our discovery of a novel class of indazole-containing compounds which exhibited favourable potency against both influenza A and B viruses. The EC50 of the most potent compounds were within low micromolar to nanomolar concentrations. Furthermore, we show that the mouse lung viral titre decreased due to treatment with compound 24. Thus our findings identify promising candidates for further development of anti-influenza drugs suitable for clinical use.

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