1.Analyzing Differences in Volatile Components of Citri Reticulatae Pericarpium Before and After Being Stir-fried with Halloysitum Rubrum Based on HS-GC-MS and Intelligent Sensory Technology
Li XIN ; Jiawen WEN ; Wenhui GONG ; Beibei ZHAO ; Shihao YAN ; Huashi CHEN ; Haiping LE ; Jinlian ZHANG ; Yanhua XUE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):157-162
ObjectiveTo analyze the differences in color, odor and volatile components of Citri Reticulatae Pericarpium(CRP) before and after being stir-fried with Halloysitum Rubrum, and to explore the material basis of enhancing the effect of strengthening spleen after processing and the scientific connotation of decoction pieces processed with Halloysitum Rubrum as the auxiliary material. MethodsThe volatile components of the samples before and after processing were identified and relatively quantified by headspace gas chromatography-mass spectrometry(HS-GC-MS), and the volatile components were analyzed by principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA). According to the principle of variable importance in the projection(VIP) value>1.5, volatile differential components before and after processing were screened. And combined with intelligent sensory technologies such as colorimeter and electronic nose, the chroma and odor information of CRP before and after being stir-fried with Halloysitum Rubrum were identified. Pearson correlation analysis was used to explore the correlation between volatile differential components and chroma values. ResultsA total of 112 volatile components were identified from CRP and CRP stir-fried with Halloysitum Rubrum, of which 84 were from CRP and 97 were from CRP stir-fried with Halloysitum Rubrum. And 7 differential components were selected, including α-pinene, β-myrcene, linalool, sabinene, ocimene isomer mixture, A-ocimene, and δ-elemene. After being processed with Halloysitum Rubrum, the brightness value(L*), yellow-blue value(b*) and total chromatic value(E*ab) of CRP were decreased(P<0.01), and red-green value(a*) was increased(P<0.01), the response values of S4, S5, S10 and S13 sensors were significantly increased(P<0.05), and the response values of S3 and S8 sensors were significantly decreased(P<0.05). Correlation analysis showed that α-pinene and β-myrcene were negatively correlated with L* and E*ab, but positively correlated with a*. Sabinene was positively correlated with L* and E*ab. Linalool was positively correlated with L* and E*ab, and negatively correlated with a*. The ocimene isomer mixture was positively correlated with the L*. ConclusionAfter being processed with Halloysitum Rubrum, the appearance color, odor and volatile components of CRP change significantly, and α-pinene, β-myrcene, sabinene, linalool and A-ocimene are the characteristic volatile components before and after processing, which can provide references for the quality evaluation and clinical application of CRP and its processed products.
2.Analyzing Differences in Volatile Components of Citri Reticulatae Pericarpium Before and After Being Stir-fried with Halloysitum Rubrum Based on HS-GC-MS and Intelligent Sensory Technology
Li XIN ; Jiawen WEN ; Wenhui GONG ; Beibei ZHAO ; Shihao YAN ; Huashi CHEN ; Haiping LE ; Jinlian ZHANG ; Yanhua XUE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):157-162
ObjectiveTo analyze the differences in color, odor and volatile components of Citri Reticulatae Pericarpium(CRP) before and after being stir-fried with Halloysitum Rubrum, and to explore the material basis of enhancing the effect of strengthening spleen after processing and the scientific connotation of decoction pieces processed with Halloysitum Rubrum as the auxiliary material. MethodsThe volatile components of the samples before and after processing were identified and relatively quantified by headspace gas chromatography-mass spectrometry(HS-GC-MS), and the volatile components were analyzed by principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA). According to the principle of variable importance in the projection(VIP) value>1.5, volatile differential components before and after processing were screened. And combined with intelligent sensory technologies such as colorimeter and electronic nose, the chroma and odor information of CRP before and after being stir-fried with Halloysitum Rubrum were identified. Pearson correlation analysis was used to explore the correlation between volatile differential components and chroma values. ResultsA total of 112 volatile components were identified from CRP and CRP stir-fried with Halloysitum Rubrum, of which 84 were from CRP and 97 were from CRP stir-fried with Halloysitum Rubrum. And 7 differential components were selected, including α-pinene, β-myrcene, linalool, sabinene, ocimene isomer mixture, A-ocimene, and δ-elemene. After being processed with Halloysitum Rubrum, the brightness value(L*), yellow-blue value(b*) and total chromatic value(E*ab) of CRP were decreased(P<0.01), and red-green value(a*) was increased(P<0.01), the response values of S4, S5, S10 and S13 sensors were significantly increased(P<0.05), and the response values of S3 and S8 sensors were significantly decreased(P<0.05). Correlation analysis showed that α-pinene and β-myrcene were negatively correlated with L* and E*ab, but positively correlated with a*. Sabinene was positively correlated with L* and E*ab. Linalool was positively correlated with L* and E*ab, and negatively correlated with a*. The ocimene isomer mixture was positively correlated with the L*. ConclusionAfter being processed with Halloysitum Rubrum, the appearance color, odor and volatile components of CRP change significantly, and α-pinene, β-myrcene, sabinene, linalool and A-ocimene are the characteristic volatile components before and after processing, which can provide references for the quality evaluation and clinical application of CRP and its processed products.
3.Progress of nutrition therapy for gastric cancer patients with chemotherapy
Yaqian DING ; Wenhui XUE ; Wenhui YANG
Cancer Research and Clinic 2024;36(2):149-153
Gastric cancer is the fifth most common cancer in the world, and chemotherapy is one of its main treatments. However, due to the side effects of chemotherapy drugs, about 87% of patients have malnutrition. Although the concept of nutrition therapy continues to advance, it still lacks sufficient attention, resulting in a low cure rate of malnutrition in gastric cancer patients. As an independent risk factor of death for gastric cancer patients, malnutrition not only leads to poor clinical outcomes, but also causes a huge social and economic burden. This review summarized the nutritional support treatment of gastric cancer patients undergoing chemotherapy in recent years, including the selection of nutrition evaluation tools, methods and effects of nutritional treatment, and made a prospect for its widespread clinical application in the future.
4.Experimental Study on Regulation of Nrf2/HO-1 by Linalool to Inhibit Hepatic Injury Induced by Aflatoxin B1
Meng WANG ; Chunmiao XUE ; Xin HUANG ; Wenhui LIU ; Ruoyu GAO ; Xuehui BAI ; Guodong HUA ; Baochen ZHU
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(14):89-96
ObjectiveTo investigate the effect of linalool against acute liver injury induced by aflatoxin B1(AFB1) in rats and explore its protective mechanism. MethodTwenty male SPF SD rats were randomly divided into three groups: Control (n=6), AFB1 (n=7), and linalool (n=7) groups. Linalool solution (200 mg·kg-1) was administered preventatively for 14 days, while the control and AFB1 groups intragastrically received an equivalent volume of double distilled water. After preventative administration of linalool, AFB1 solution (1 mg·kg-1, dissolved in saline) was intraperitoneally injected for two consecutive days to induce acute liver injury in rats. Samples were collected and processed 14 days after model establishment. Pathological changes in liver tissue of rats were observed using Hematoxylin-eosin(HE) staining and Masson staining. Biochemical detection was performed to measure the levels of alanine transaminase(ALT), aspartate transaminase(AST), γ-glutamyl transferase(GGT), lactate dehydrogenase(LDH), alkaline phosphatase(ALP), total bilirubin(TBil), direct bilirubin(DBil), indirect bilirubin(IBil), malondialdehyde(MDA), superoxidedismutase(SOD), catalase(CAT) , glutathione(GSH), Fe3+, and Fe2+ in the liver tissue. Western blot was adopted to assess protein expression levels of nuclear factor-erythroid 2-related factor 2(Nrf2) and heme oxygenase-1(HO-1). Molecular docking was performed to verify the binding between linalool and key proteins of the Nrf2/HO-1 signaling pathway. Molecular dynamics techniques were used to confirm the stability and affinity of linalool binding with key proteins of the Nrf2/HO-1 signaling pathway. ResultPathological results showed that compared to that in the AFB1 group, the liver structure in the linalool group tended to be normal, with a significant decrease in blue collagen fibers. The linalool group exhibited significantly reduced levels of ALT, AST, GGT, LDH, ALP, TBil, DBil, and IBil (P<0.01), Fe3+ and Fe2+ content, and oxidative stress marker MDA (P<0.01). The levels of antioxidants SOD, CAT, and GSH significantly increased (P<0.01). Molecular docking showed a molecular docking energy between linalool and Nrf2 and HO-1 targets of -5.495 6 and -5.199 4 kcal·mol-1(1 cal≈4.186 J), respectively. Molecular dynamics results indicated strong affinity in the binding of linalool with Nrf2 and HO-1. Western blot revealed a significant increase in Nrf2 protein expression (P<0.05) and a decrease in HO-1 protein expression (P<0.01) in the linalool group. ConclusionLinalool may protect against AFB1-induced acute liver injury by modulating the Nrf2/HO-1 ferroptosis signaling pathway to inhibit liver cell ferroptosis and regulate hepatic oxidative stress levels.
5.Digital and Intelligent Generalized Inspection in Traditional Chinese Medicine and Related Equipment Development from Evidence-based Perspective
Xiaowei ZHANG ; Xiaoyu ZHANG ; Chen ZHAO ; Mengqi PENG ; Xue XU ; Hongyuan LIN ; Wenhui WANG ; Hongcai SHANG
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(22):94-101
As the foremost among the four examinations in traditional Chinese medicine (TCM), inspection and related equipment research face challenges in landing and transformation due to variations in evidence quality, lack of standardization, insufficient algorithm transparency, and poor reliability and stability of decision-making. Against the backdrop of rapid development of emerging technologies such as big data, the internet of things, and artificial intelligence, coupled with macro policy support from the government, digital and intelligent generalized inspection in TCM has emerged, with the aim of utilizing digital technologies to overcome the limitations of naked-eye inspection and comprehensively perceive and analyze facial and bodily expressions. The research in this field intelligently correlates Zang-fu organ functions with health conditions and disease progression and establishes a technical system for digital and intelligent inspection, multi-dimensional and multimodal perception, fusion analysis, and decision-making. This system aims to enhance the accuracy of disease risk warning and diagnosis, bridging the gap between inspection equipment and assistance in clinical decision-making. From an evidence-based perspective, this paper systematically examines the research ideas of digital and intelligent inspection and the development of related equipment, deeply explores how to propose clinical practice-oriented key scientific issues, comprehensively acquire and co-apply multi-dimensional data, establish precise inspection models driven by digital intelligence, optimize standards to enhance equipment interoperability and reliability, construct post-effect evaluation mechanisms to promote improvement, and actively address potential risks such as the black box nature and information security in the application of intelligent technology. This paper not only demonstrates the tremendous potential of digital technologies in improving the accuracy and clinical application efficiency of inspection but also provides new perspectives and ideas for the modernization of inspection in TCM, paving the way for the application of inspection in the global medical and health field.
6.Investigation on Preventive Effect of Total Saponins of Notoginseng Radix et Rhizoma on Aspirin-induced Small Intestine Injury Based on Serum Metabolomics
Wenhui LIU ; Guodong HUA ; Baochen ZHU ; Ruoyu GAO ; Xin HUANG ; Meng WANG ; Zheng LIU ; Jiaojiao CHENG ; Zhibin SONG ; Jingui WANG ; Chunmiao XUE
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(22):196-203
ObjectiveMetabolomics was utilized to investigate the preventive effect of notoginseng total saponins(NTS) on aspirin(acetyl salicylic acid, ASA)-induced small bowel injury in rats. MethodFifty male SD rats were randomly divided into normal and model groups, NTS high-dose and low-dose groups(62.5, 31.25 mg·kg-1), and positive drug group(omeprazole 2.08 mg·kg-1+rebamipide 31.25 mg·kg-1), with 10 rats in each group. Except for the normal group, rats in other groups were given ASA enteric-coated pellets 10.41 mg·kg-1 daily to establish a small intestine injury model. On this basis, each medication group was gavaged daily with the corresponding dose of drug, and the normal group and the model group were gavaged with an equal amount of drinking water. Changes in body mass and fecal characteristics of rats were recorded and scored during the period. After 14 weeks of administration, small intestinal tissues of each group were taken for hematoxylin-eosin(HE) staining, scanning electron microscopy to observe the damage, and the apparent damage of small intestine was scored. Serum from rats in the normal group, the model group, and the NTS high-dose group was taken and analyzed for metabolomics by ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry(UPLC-Q-Exactive Orbitrap MS), and the data were processed by multivariate statistical analysis, the potential biomarkers were screened by variable importance in the projection(VIP) value≥1.0, fold change(FC)≥1.5 or ≤0.6 and t-test P<0.05, and pathway enrichment analysis of differential metabolites was performed in conjunction with Human Metabolome Database(HMDB) and Kyoto Encyclopedia of Genes and Genomes(KEGG). ResultAfter 14 weeks of administration, the average body mass gain of the model group was lower than that of the normal group, and the NTS high-dose group was close to that of the normal group. Compared with the normal group, the fecal character score of rats in the model group was significantly increased(P<0.05), and compared with the model group, the scores of the positive drug group and the NTS high-dose group were reduced, but the difference was not statistically significant. HE staining and scanning electron microscopy results showed that NTS could significantly improve ASA-induced small intestinal injury, compared with the normal group, the small bowel injury score of the model group was significantly increased(P<0.01), compared with the model group, the small bowel injury scores of the NTS low and high dose groups were significantly reduced(P<0.05, P<0.01). Serum metabolomics screened a total of 75 differential metabolites between the normal group and the model group, of which 55 were up-regulated and 20 were down-regulated, 76 differential metabolites between the model group and the NTS groups, of which 14 were up-regulated and 62 were down-regulated. NTS could modulate three differential metabolites(salicylic acid, 3-hydroxybenzoic acid and 4-hydroxybenzoic acid), which were involved in 3 metabolic pathways, namely, the bile secretion, the biosynthesis of folic acid, and the biosynthesis of phenylalanine, tyrosine and tryptophan. ConclusionNTS can prevent ASA-induced small bowel injury, and the underlying mechanism may be related to the regulation of bile secretion and amino acid metabolic pathways in rats.
7.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
8.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.
9.Changing resistance profiles of Proteus,Morganella and Providencia in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yunmin XU ; Xiaoxue DONG ; Bin SHAN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo ZHANG ; 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 ; 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 ; Hongyan ZHENG ; 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 WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(4):410-417
Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10%of the Proteus and Morganella strains were resistant,while less than 20%of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4%in Proteus isolates,1.9%in Morganella isolates,and 15.6%in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.
10.Changing distribution and resistance profiles of Klebsiella strains in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chuyue ZHUO ; Yingyi GUO ; Chao ZHUO ; 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 ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; 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 WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(4):418-426
Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0%),Klebsiella aerogenes(5.8%),Klebsiella oxytoca(5.7%),and other Klebsiella species(0.6%).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)%.Internal medicine(22.79±3.28)%,surgery(17.98±3.10)%,and ICU(14.03±1.39)%were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.

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