1.Evaluation and Regulation of Medical Artificial Intelligence Applications in China.
Mao YOU ; Yue XIAO ; Han YAO ; Xue-Qing TIAN ; Li-Wei SHI ; Ying-Peng QIU
Chinese Medical Sciences Journal 2025;40(1):3-8
Amid the global wave of digital economy, China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support, while facing multifaceted evaluation and regulatory challenges. The dynamic algorithm evolution undermines the consistency of assessment criteria, multimodal systems lack unified evaluation metrics, and conflicts persist between data sharing and privacy protection. To address these issues, the China National Health Development Research Center has established a value assessment framework for artificial intelligence medical technologies, formulated the country's first technical guideline for clinical evaluation, and validated their practicality through scenario-based pilot studies. Furthermore, this paper proposes introducing a "regulatory sandbox" model to test technical compliance in controlled environments, thereby balancing innovation incentives with risk governance.
Artificial Intelligence/legislation & jurisprudence*
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China
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Humans
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Algorithms
2.Beneficial Bacterial Modulation by Gypsum Fibrosum and Terra Flava Usta in Gut Microbiota.
Meng-Jie LI ; Yang-Yang DONG ; Na LI ; Rui ZHANG ; Hong-Lin ZHANG ; Zhi-Mao BAI ; Xue-Jun KANG ; Peng-Feng XIAO ; Dong-Rui ZHOU
Chinese journal of integrative medicine 2025;31(9):812-820
OBJECTIVE:
To investigate the regulatory effects of two traditional mineral medicines (TMMs), Gypsum Fibrosum (Shigao, GF) and Terra Flava Usta (Zaoxintu, TFU), on gut-beneficial bacteria in mice, and preliminarily explore their mechanisms of action.
METHODS:
Mice were randomly divided into 3 groups (n=10 per group): the control group (standard diet), the GF group (diet supplemented with 2% GF), and the TFU group (diet supplemented with 2% TFU). After 4-week intervention, 16S rRNA gene sequencing was used to analyze the changes in the gut microbiota (GM). Scanning electron microscopy, in combination with coumarin A tetramethyl rhodamine conjugate and Hoechst stainings, was used to observe the bacteria and biofilm formation.
RESULTS:
Principal coordinate analysis revealed that GF and TFU significantly altered the GM composition in mice. Further analysis revealed that GF and TFU affected different types of gut bacteria, suggesting that different TMMs may selectively modulate specific bacterial populations. For certain bacteria, such as Faecalibaculum and Ileibacterium, both GF and TFU exhibited growth-promoting effects, implying that they may be sensitive to TMMs and that different TMMs can increase their abundance through their respective mechanisms. Notably, Lactobacillus reuteri, a widely recognized and used probiotic, was significantly enriched in the GF group. Random forest analysis identified Ileibacterium valens as a potential indicator bacterium for TMMs' impact on GM. Further mechanistic studies showed that gut bacteria formed biofilm structures on the TFU surface.
CONCLUSIONS
This study provides new insights into the interaction between TMMs and GM. As safe and effective natural clays, GF and TFU hold promise as potential candidates for prebiotic development.
Animals
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Gastrointestinal Microbiome/drug effects*
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Bacteria/growth & development*
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Mice
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Biofilms/drug effects*
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Male
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RNA, Ribosomal, 16S/genetics*
3.A Health Economic Evaluation of an Artificial Intelligence-assisted Prescription Review System in a Real-world Setting in China.
Di WU ; Ying Peng QIU ; Li Wei SHI ; Ke Jun LIU ; Xue Qing TIAN ; Ping REN ; Mao YOU ; Jun Rui PEI ; Wen Qi FU ; Yue XIAO
Biomedical and Environmental Sciences 2025;38(3):385-388
4.National bloodstream infection bacterial resistance surveillance report (2022) : Gram-negative bacteria
Zhiying LIU ; Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(1):42-57
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period,9 035 strains of Gram-negative bacteria were collected from 51 hospitals,of which 7 895(87.4%)were Enterobacteriaceae and 1 140(12.6%)were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli( n=4 510,49.9%), Klebsiella pneumoniae( n=2 340,25.9%), Pseudomonas aeruginosa( n=534,5.9%), Acinetobacter baumannii complex( n=405,4.5%)and Enterobacter cloacae( n=327,3.6%). The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus spp. were 47.1%(2 095/4 452),21.0%(427/2 033)and 41.1%(58/141),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(58/4 510)and 13.1%(307/2 340);62.1%(36/58)and 9.8%(30/307)of CREC and CRKP were resistant to ceftazidime/avibactam combination,respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 59.5%(241/405),while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 18.4%(98/534). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions,with statistically significant differences in the prevalence of CRKP and CRPA( χ2=20.489 and 20.252, P<0.001). The prevalence of CREC,CRKP,CRPA,CRAB,ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals( χ2=11.953,81.183,10.404,5.915,12.415 and 6.459, P<0.01 or <0.05),while the prevalence of CRPA was higher in economically developed regions(per capita GDP ≥ 92 059 Yuan)than that in economically less-developed regions(per capita GDP <92 059 Yuan)( χ2=6.240, P=0.012). Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend,and Escherichia coli is ranked in the top,while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different,and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.
5.Identification, expression and protein interaction analysis of Aux/IAA and ARF gene family in Senna tora L.
Zhao FENG ; Shi-peng LIU ; Rui-hua LÜ ; Rui-hua LÜ ; Xiao-chen HU ; Ming-ying ZHANG ; Ren-jun MAO ; Gang ZHANG
Acta Pharmaceutica Sinica 2024;59(3):751-763
The early response of plant auxin gene family
6.National bloodstream infection bacterial resistance surveillance report(2022): Gram-positive bacteria
Chaoqun YING ; Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(2):99-112
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units,and the top five bacteria were Staphylococcus aureus( n=1 147,36.3%),coagulase-negative Staphylococci( n=928,29.3%), Enterococcus faecalis( n=369,11.7%), Enterococcus faecium( n=296,9.4%)and alpha-hemolyticus Streptococci( n=192,6.1%). The detection rates of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)were 26.4%(303/1 147)and 66.7%(619/928),respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome,rifampin,compound sulfamethoxazole,linezolid,minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%(2/369),and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions( χ2=14.578, P=0.002),while the detection rate of MRCNS in northern China was significantly higher than that in other regions( χ2=15.195, P=0.002). The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals( χ2=13.519 and 12.136, P<0.001). The detection rates of MRSA and MRCNS in economically more advanced regions(per capita GDP≥92 059 Yuan in 2022)were higher than those in economically less advanced regions(per capita GDP<92 059 Yuan)( χ2=9.969 and 7.606, P=0.002和0.006). Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China, Staphylococci is the most common while the MRSA incidence decreases continuously with time;the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China,with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.
7.Establishment of rabbit rectovaginal fistula model by magnetic compression technique
Bo-Yan TIAN ; Miao-Miao ZHANG ; Jian-Qi MAO ; Jia MA ; Yi LYU ; Xiao-Peng YAN
Journal of Regional Anatomy and Operative Surgery 2024;33(8):697-700
Objective To investigate the feasibility of establishing an animal model of rectovaginal fistula in rabbits by magnetic compression technique.Methods A magnetic device suitable for preparing rabbit rectovaginal fistula model was self-designed.Eight New Zealand female rabbits were used as experimental subjects.They were placed in a supine position after auricular intravenous anesthesia,and the magnets were placed on both sides of the rectovaginal septum through the vagina and anus,respectively,and the magnets were made to attract together.The operation time was recorded,the general state of the experimental rabbits was observed after operation,and the time of magnet discharge was recorded.The experimental rabbits were killed 1 week after operation to obtain rectovaginal fistula specimens,and the formation of rectovaginal fistula was observed by naked eye.Results The animal model of rectovaginal fistula was successfully established in 8 experimental rabbits.The operation process was smooth,with an average time of(1.63±0.70)minutes.The rabbits were generally in good condition after operation.The magnet was discharged from the body at(4.63±0.99)day after operation,and the rectovaginal fistula specimens were obtained 1 week after operation,and the rectovaginal fistula was well formed by naked eye observation.Conclusion The establishment of rabbit rectovaginal fistula model by magnetic compression technique has the advantages of simple operation and high success rate of model preparation.
8.Tick-borne pathogens infection of rodents at the border of China and the Democratic People's Republic of Korea
Zhuo WANG ; Qiong WU ; Xiao-Yang HUANG ; Guan-Peng HUANG ; You-Xin MA ; En-Rong MAO ; Guo-Shuang LENG ; Hong-Min ZHAO ; Bing LI ; Yi-Min WU
Chinese Journal of Zoonoses 2024;40(4):323-327
To investigate the existence of tick-borne pathogens infection of rodents at the border of China and the Demo-cratic People's Republic of Korea(DPRK).PCR was used to detect the spotted fever group rickettsiae(SFGR)ompA gene,Ehrlichia chaffeensis(Ec)and Anaplasma phagocytophilum(Ap)16S rRNA,Candidatus Neoehrlichia mikurensis(CNm)groEL gene,Bartonella(Ba)rpoB gene,and Francisella tularensis(Ft)fopA gene in rodents samples collected from Ji'an of Jilin province and Kuandian of Liaoning Province.The positivity rates of 132 wild rats spleen samples,SFGR,Ec,Ap,CNm,Ba,and Ft were 9.85%,12.88%,5.30%,3.79%,51.52%,and 6.06%,respectively,with statistical differences in in-fection rates(x2=149.236,P=0.000).The infection rate of Ba was the highest in wild rats in this area.There was no signifi-cant difference in the infection rate of SFGR,Ec,Ap,CNm,and Ft among different rats species,but there were significant differences in the infection rate of Ba(x2=13.36,P=0.010).The infection rate of Apodemus agrarius was the highest.A-mong 132 wild rats specimens,the coinfection rate of the two pathogens was 15.9%(21/132),with Ba as the main species(15/132),and two cases of coinfection with three pathogens were detected.The infection of six tick-borne pathogens is common in wild rats at the China/DPRK border.Co-infection of two or three pathogens indicates a risk of multiple tick-borne pathogens and mixed natural foci of multiple tick-borne infec-tious diseases.
9.Effects of Tongfengning(痛风宁) on Intestinal Flora and Intestinal Uric Acid Metabolism in Model Mice of Hyperuri⁃cemia of Spleen Deficiency with Exuberance of Dampness Syndrome
Yingjie ZHANG ; Xiao MAO ; Yan XIAO ; Tangyan CAI ; Jiemei GUO ; Peng CHEN ; Peng ZHANG ; Jun LIU ; Yu CHEN ; Mengting QIU ; Youxin SU
Journal of Traditional Chinese Medicine 2023;64(21):2232-2240
ObjectiveTo explore the possible mechanisms of Tongfengning (痛风宁, TFN) in treating hyperuricemia (HUA) of spleen deficiency with exuberance of dampness syndrome. MethodsTen of 60 mice were randomly selected, and were fed with regular diet as the control group, while the remaining 50 mice were fed with high-fat and high-sugar diet combined with excessive exercise and potassium oxonate-allopurinol suspension to establish an HUA animal model of syndrome of spleen deficiency with exuberance of dampness. After the successful modeling, in order to better observe the effects of TFN on the intestinal microbiota of the model mice, a mixed antibiotic suspension was administered by gavage to induce further dysbiosis of the intestinal microbiota in the model mice. Fifty sucessfully modeled mice were randomly divided into model group, TFN group, allopurinol group, probiotics group, and an allopurinol + probiotics group, 10 in each group. The TFN group was administered TFN liquid at a dosage of 19.11 g/(kg·d) by gavage. The allopurinol group was administered allopurinol suspension at a dosage of 78 mg/(kg·d) by gavage. The probiotics group was administered live combined Bifidobacterium and Lactobacillus tablets suspension at a dosage of 3 g/(kg·d) by gavage. The allopurinol + probiotics group was administered allopurinol at a dosage of 78 mg/(kg·d) and live combined Bifidobacterium and Lactobacillus tablets suspension at a dosage of 3 g/(kg·d) by gavage. The control group and model group were administered normal saline at a dosage of 19.11 ml/(kg·d) by gavage. The interventions were continued for 21 days. In order to maintain a stable high blood uric acid state, all groups but the control group continued modeling while receiving drug intervention. The changes in spleen deficiency syndrome scores, blood uric acid levels, microbial community structure, acetic acid and butyric acid content in intestinal lavage fluid, adenosine deaminase (ADA) and xanthine oxidase (XOD) content in small intestine tissue, as well as ATP-binding cassette transporter G2 (ABCG2), glucose transporter 9 (GLUT9) protein and mRNA expression in the small intestine tissue were compared among the groups of mice. ResultsCompared with the control group, the model group showed increased spleen deficiency syndrome scores, blood uric acid levels, relative abundance of phylum Firmicutes, Firmicutes/Bacteroidetes ratio, abundance of Bacteroides genus, Klebsiella genus, and Enterococcus genus, acetic acid content in intestinal lavage fluid, ADA and XOD content in small intestine tissue, as well as GLUT9 protein and mRNA expression (P<0.05). The number of operational taxonomic units (OTUs) of intestinal microbiota, relative abundance of Bacteroidetes phylum, abundance of Lactobacillus genus and uncultured Bacteroides genus, butyric acid content in intestinal lavage fluid, and ABCG2 protein and mRNA expression in small intestine tissue were significantly decreased (P<0.05). Compared with the model group, in the group treated with TFN, probiotics, and allopurinol + probiotics, the spleen deficiency syndrome score, blood uric acid level, relative abundance of Firmicutes, acetic acid content in intestinal lavage fluid, ADA and XOD content in small intestine tissue, GLUT9 protein and mRNA expression significantly decreased. The number of gut microbiota OTUs, relative abundance of proteobacteria, butyric acid content in intestinal lavage fluid, ABCG2 protein and mRNA expression in small intestine tissue significantly increased (P<0.05). In the probiotics group, the ratio of Firmicutes to Bacteroidetes decreased. In the TFN group, the abundance of Lactobacillus and uncultured Bacteroidetes significantly increased, while the abundance of Parabacteroides, Klebsiella, and Enterococcus significantly decreased (P<0.05). Compared with the TFN group, allopurinol group and the probiotics group showed elevated blood uric acid levels, abundance of Bacteroidetes, ADA and XOD levels in intestinal tissue, and GLUT9 mRNA expression. The relative abundance of Firmicutes, abundance of lactobacilli, and ABCG2 mRNA expression significantly decreased. The probiotics group showed elevated GLUT9 protein expression in intestinal tissue. The probiotics group and the allopurinol plus probiotics group showed significantly higher scores for spleen deficiency syndrome in mice, and lower levels of butyric acid in mouse intestinal lavage fluid. The allopurinol group showed decreased numbers of OTUs in mouse intestinal flora, decreased abundance of proteobacteria, and butyric acid levels in intestinal lavage fluid. The allopurinol group also showed decreased ABCG2 protein expression in intestinal tissue, increased acetic acid levels in intestinal lavage fluid, increased abundance of Klebsiella, and significantly elevated GLUT9 protein expression (P<0.05). ConclusionsThe treatment of HUA with TFN may be associated with the regulation of intestinal probiotics (such as lactobacilli) and pathogenic bacteria (such as Klebsiella), as well as the production of bacterial metabolites such as acetic acid and butyric acid. It may also involve reducing the expression of ADA and XOD in the intestines, decreasing intestinal uric acid production, upregulating the expression of intestinal epithelial urate transporter ABCG2, downregulating GLUT9 expression, and promoting intestinal uric acid excretion. These factors are related to the syndrome of spleen deficiency with exuberance of dampness.
10.Genome-wide identification of GSK gene family in Senna tora L. and expression analyses
Zhao FENG ; Yang QIN ; Shi-peng LIU ; Rui-hua LÜ ; Rui-hua LÜ ; Xiao-chen HU ; Ren-jun MAO ; Gang ZHANG
Acta Pharmaceutica Sinica 2023;58(5):1383-1394
Glycogen synthase kinase 3/SHAGGY-like kinase (GSK3) proteins play important roles in regulating plant growth, development, and stress response. In order to reveal the characteristics of GSK family members in the medicinal plant

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