1.Multidrug resistance of Helicobacter pylori and its impact on the diagnosis and treatment of gastrointestinal diseases and countermeasures.
Xiya YAN ; Canlin ZHENG ; Zhihui TANG ; Youjun FENG ; Baoning WANG
Chinese Journal of Biotechnology 2025;41(4):1240-1251
Helicobacter pylori is a bacterium that can cause chronic gastritis, peptic ulcers, and other gastrointestinal diseases. The World Health Organization has classified H. pylori as a group Ⅰ carcinogen. Antibiotics are the primary clinical approach for eradicating H. pylori. However, incomplete eradication of H. pylori by antibiotics can lead to persistent infection, which is a major risk factor for the high incidence of gastric cancer. The widespread use of antibiotics has led to the emergence of multidrug resistance in H. pylori, contributing to treatment failures of chronic gastric diseases and increasing the risk of spreading resistant strains. Multidrug-resistant H. pylori has become a serious challenge in the diagnosis and treatment of gastrointestinal diseases. This paper reviews the global trends in the development of multidrug resistance in H. pylori, the underlying mechanisms, the challenges it poses to clinical diagnosis, and its impact on drug development, drawing on relevant literature and the research findings from our group. It proposes using cgt expression as a novel method for determining viable bacteria, identifying intracellularization as a new form of resistance in H. pylori, and exploring the potential of O-glycans as a therapeutic approach against H. pylori to address multidrug resistance. It provides new insights into understanding the mechanisms of H. pylori multidrug resistance and its prevention strategies, offering promising directions for future clinical treatments and antimicrobial drug development.
Helicobacter pylori/genetics*
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Humans
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Drug Resistance, Multiple, Bacterial
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Helicobacter Infections/microbiology*
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Anti-Bacterial Agents/therapeutic use*
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Gastrointestinal Diseases/drug therapy*
2.Research progress in silver ion tolerance mechanisms of Escherichia coli.
Yuhuang WU ; Xi ZHENG ; Haoyue AN ; Shuchu SHEN ; Zhongbao WU ; Su ZHOU ; Jun WANG ; Lili ZOU
Chinese Journal of Biotechnology 2025;41(4):1252-1267
Due to the wide application of silver-containing dressings and silver-coated medical devices in clinical treatment; the extensive use of antibacterial agents and heavy metal agents in feed factories, Escherichia coli has formed the tolerance to silver ions. To systematically understand the known silver ion resistance mechanisms of E. coli, this article reviews the complex regulatory network and various physiological mechanisms of silver ion tolerance in E. coli, including the regulation of outer membrane porins, energy metabolism modulation, the role of efflux systems, motility regulation, and silver ion reduction. E. coli reduces the influx of silver ions by missing or mutating outer membrane porins such as OmpR, OmpC, and OmpF. It adapts to high concentrations of silver ions by altering the expression of ArcA/B and enhances the efflux capacity of silver ions under high-concentration silver stress via the endogenous Cus system and exogenous Sil system. Furthermore, the motility of bacteria is related to silver tolerance. E. coli has the ability to reduce silver ions, thereby alleviating the oxidative stress induced by silver ions. These findings provide a new perspective for understanding the formation and spread of bacterial tolerance and provide directions for the development of next-generation silver-based antimicrobials and therapies.
Escherichia coli/genetics*
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Silver/pharmacology*
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Drug Resistance, Bacterial
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Anti-Bacterial Agents/pharmacology*
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Porins/metabolism*
3.Characterization of Mutations in Genes Related to Rifampicin and Isoniazid Resistance in Multidrug-resistant Mycobacterium tuberculosis Strains from Hangzhou, China.
Yin Yan HUANG ; Li XIE ; Yi Fei WU ; Qing Jun JIA ; Qing Lin CHENG ; Qing Chun LI ; Li Yun AI ; Xue Xin BAI
Biomedical and Environmental Sciences 2023;36(9):869-873
Humans
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Isoniazid/pharmacology*
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Mycobacterium tuberculosis/genetics*
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Rifampin/pharmacology*
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Antitubercular Agents/pharmacology*
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Mutation
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Microbial Sensitivity Tests
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Tuberculosis, Multidrug-Resistant/microbiology*
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Drug Resistance, Multiple, Bacterial/genetics*
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Bacterial Proteins/genetics*
4.Molecular epidemiology and antibiotic resistance of Pseudomonas aeruginosa isolated from blood in a hospital in Shandong Province from 2014 to 2021.
Jia Zheng WANG ; Xiu Tao DONG ; Xiao Ning ZHANG ; Piao DENG ; Fang CHENG ; Wan Shan MA
Chinese Journal of Preventive Medicine 2023;57(10):1558-1564
Objective: To identify the antibiotic resistance, virulence genes, and sequence types of Pseudomonas aeruginosa (P. aeruginosa) strains isolated from blood. Methods: From November 2014 to December 2021, a total of 94 nonrepetitive P. aeruginosa isolates were obtained from blood samples of patients at the First Affiliated Hospital of Shandong First Medical University in Shandong Province, China. The bacteria were identified using matrix-assisted laser desorption ionization time of flight mass spectrometry. Antibiotic resistance of the P. aeruginosa isolates was detected using Vitek 2 Compact system. Polymerase chain reaction (PCR) was conducted for the 18 virulence genes, and multi locus sequence typing (MLST) was performed to identify the sequence types of the P. aeruginosa strains. The resistance rates and distributions of virulence genes between carbapenem resistant pseudomonas aeruginosa (CRPA) and carbapenem susceptible pseudomonas aeruginosa (CSPA) isolates were compared using the Chi-square test. Results: Among 94 P. aeruginosa isolates, 19 (20.2%) isolates were found to be multidrug resistant (MDR) bacteria, of which 17 were CRPA isolates and 2 were CSPA isolates. All strains contained more than 10 virulence genes. Except for exoU gene, the detection rate of other genes was above 83%. MLST analysis revealed a total of 66 different STs, including 59 existing STs and 7 novel STs. Among them, ST244 (n=11, 11.7%) and ST270 (n=7, 7.4%) were the dominant STs. Although these two types of isolates harbored the same virulence genes, the resistance rates to carbapenem were different. 54.5% (6/11) ST244 isolates were CRPA but all 7 ST270 isolates were CSPA. Conclusion: Although the resistance rates of P. aeruginosa strains isolated from blood were at a low level, some MDR and CRPA isolates were detected. As the high virulence gene detection rates and genetic diversity were found for P. aeruginosa strains isolated from blood, close attention should be paid to avoid transmission and outbreaks.
Humans
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Pseudomonas aeruginosa/genetics*
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Multilocus Sequence Typing
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Molecular Epidemiology
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Pseudomonas Infections/microbiology*
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Microbial Sensitivity Tests
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Hospitals
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Carbapenems/pharmacology*
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Drug Resistance, Multiple, Bacterial/genetics*
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Anti-Bacterial Agents/pharmacology*
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beta-Lactamases
5.Antimicrobial resistance and genomic characterization of Campylobacter isolates recovered from retailed poultry meat samples in 20 provinces of China in 2020.
Chang Wei WANG ; Yao BAI ; Shao Ting LI ; Zi Xin PENG ; Da Jin YANG ; Yin Ping DONG ; Jing XIAO ; Wei WANG ; Feng Qin LI
Chinese Journal of Preventive Medicine 2023;57(12):2086-2094
Objective: To understand the antimicrobial resistance and genome characteristics of Campylobacter isolates recovered from retailed poultry meat samples in 20 provinces in China in 2020. Methods: In 2020, 265 Campylobacter strains including 244 Campylobacter jejuni and 21 Campylobacter coli collected from retailed poultry meat samples in China were tested for antimicrobial resistance to 9 antimicrobial compounds by using the agar dilution method. Forty-two selected isolates were sent for whole genome sequencing and 38 high-quality genomes were analyzed for their antimicrobial resistance genes, virulence genes, sequence types and genetic diversity. Results: The resistance rates of Campylobacter isolates from poultry meats to tetracycline, nalidixic acid and ciprofloxacin were the highest (84%-100%), with 53.2% of the isolates showing multidrug resistance in this study. The resistance rates of C. coli to erythromycin, azithromycin, telithromycin, gentamicin and clindamycin were significantly higher than those of C. jejuni (P<0.05). The resistance genes conferring resistance to β-lactams (100%, 38/38), quinolones (94.7%, 36/38), tetracycline (81.6%, 31/38) and aminoglycosides (50%, 19/38) were the most frequently detected among 38 Campylobacter genomes. C. jejuni carried more virulence genes than C. coli. In total, 19 and 17 sequence types (ST) were obtained from 20 sequenced C. jejuni and 18 C. coli isolates, respectively, including 5 novel STs. The isolates showed a high genetic diversity based on their sequence types. Conclusion: The phenomenon of antimicrobial resistance in Campylobacter from poultry meat sources in China is relatively serious, and resistance and virulence genes are widely distributed in Campylobacter. There is genetic diversity in Campylobacter.
Humans
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Animals
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Anti-Bacterial Agents/pharmacology*
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Campylobacter/genetics*
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Poultry
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Drug Resistance, Bacterial/genetics*
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Genomics
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China
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Tetracycline
6.Antimicrobial resistance and plasmid-mediated colistin resistance mechanism of diarrheagenic Escherichia coli recovered from foods in parts of China in 2020.
Yu Jie HU ; Yang XIAO ; Shuang Jia DONG ; Jian Yun ZHAO ; Hui LI ; Da Jin YANG ; Yin Ping DONG ; Jin XU ; Feng Qin LI
Chinese Journal of Preventive Medicine 2023;57(4):557-565
Objective: To investigate the antimicrobial resistance of food-borne diarrheagenic Escherichia coli (DEC) and the prevalence of mcr genes that mediates mobile colistin resistance in parts of China, 2020. Methods: For 91 DEC isolates recovered from food sources collected from Fujian province, Hebei province, Inner Mongolia Autonomous Region and Shanghai city in 2020, Vitek2 Compact biochemical identification and antimicrobial susceptibility testing platform was used for the detection of antimicrobial susceptibility testing (AST) against to 18 kinds of antimicrobial compounds belonging to 9 categories, and multi-polymerase chain reaction (mPCR) was used to detect the mcr-1-mcr-9 genes, then a further AST, whole genome sequencing (WGS) and bioinformatics analysis were platformed for these DEC isolates which were PCR positive for mcr genes. Results: Seventy in 91 isolates showed different antimicrobial resistance levels to the drugs tested with a resistance rate of 76.92%. The isolates showed the highest antimicrobial resistance rates to ampicillin (69.23%, 63/91) and trimethoprim-sulfamethoxazole (59.34%, 54/91), respectively. The multiple drug-resistant rate was 47.25% (43/91). Two mcr-1 gene and ESBL (extended-spectrum beta-lactamase) positive EAEC (enteroaggregative Escherichia coli) strains were detected. One of them was identified as serotype of O11:H6, which showed a resistance profile to 25 tested drugs referring to 10 classes, and 38 drug resistance genes were predicted by genome analysis. The other one was O16:H48 serotype, which was resistant to 21 tested drugs belonging to 7 classes and carried a new variant of mcr-1 gene (mcr-1.35). Conclusion: An overall high-level antimicrobial resistance was found among foodborne DEC isolates recovered from parts of China in 2020, and so was the MDR (multi-drug resistance) condition. MDR strains carrying multiple resistance genes such as mcr-1 gene were detected, and a new variant of mcr-1 gene was also found. It is necessary to continue with a dynamic monitoring on DEC contamination and an ongoing research into antimicrobial resistance mechanisms.
Humans
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Colistin/pharmacology*
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Anti-Bacterial Agents/pharmacology*
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Escherichia coli Infections/epidemiology*
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Escherichia coli Proteins/genetics*
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Drug Resistance, Bacterial/genetics*
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China/epidemiology*
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Escherichia coli
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Plasmids/genetics*
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Microbial Sensitivity Tests
7.Study of the urban-impact on microbial communities and their virulence factors and antibiotic resistance genomes in the Nandu River, Haikou.
Yu Feng FAN ; Zhen Peng LI ; Xiao Jie YU ; Zhe LI ; Hai Jian ZHOU ; Ya Lin ZHANG ; Xiao Ting GAN ; De HUA ; Xin LU ; Biao KAN
Chinese Journal of Epidemiology 2023;44(6):974-981
Objective: To explore the changes in bacterial community structure, antibiotic resistance genome, and pathogen virulence genome in river water before and after the river flowing through Haikou City and their transmission and dispersal patterns and to reveal anthropogenic disturbance's effects on microorganisms and resistance genes in the aquatic environment. Methods: The Nandu River was divided into three study areas: the front, middle and rear sections from the upstream before it flowed through Haikou City to the estuary. Three sampling sites were selected in each area, and six copies of the sample were collected in parallel at each site and mixed for 3 L per sample. Microbial community structure, antibiotic resistance, virulence factors, and mobile genetic elements were analyzed through bioinformatic data obtained by metagenomic sequencing and full-length sequencing of 16S rRNA genes. Variations in the distribution of bacterial communities between samples and correlation of transmission patterns were analyzed by principal co-ordinates analysis, procrustes analysis, and Mantel test. Results: As the river flowed through Haikou City, microbes' alpha diversity gradually decreased. Among them, Proteobacteria dominates in the bacterial community in the front, middle, and rear sections, and the relative abundance of Proteobacteria in the middle and rear sections was higher than that in the front segment. The diversity and abundance of antibiotic resistance genes, virulence factors, and mobile genetic elements were all at low levels in the front section and all increased significantly after flow through Haikou City. At the same time, horizontal transmission mediated by mobile genetic elements played a more significant role in the spread of antibiotic-resistance genes and virulence factors. Conclusions: Urbanization significantly impacts river bacteria and the resistance genes, virulence factors, and mobile genetic elements they carry. The Nandu River in Haikou flows through the city, receiving antibiotic-resistant and pathogen-associated bacteria excreted by the population. In contrast, antibiotic-resistant genes and virulence factors are enriched in bacteria, which indicates a threat to environmental health and public health. Comparison of river microbiomes and antibiotic resistance genomes before and after flow through cities is a valuable early warning indicator for monitoring the spread of antibiotic resistance.
Humans
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Rivers
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Virulence Factors/genetics*
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RNA, Ribosomal, 16S/genetics*
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Microbiota/genetics*
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Anti-Bacterial Agents
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Drug Resistance, Microbial/genetics*
8.Evaluation of Microsphere-based xMAP Test for gyrA Mutation Identification in Mycobacterium Tuberculosis.
Xi Chao OU ; Bing ZHAO ; Ze Xuan SONG ; Shao Jun PEI ; Sheng Fen WANG ; Wen Cong HE ; Chun Fa LIU ; Dong Xin LIU ; Rui Da XING ; Hui XIA ; Yan Lin ZHAO
Biomedical and Environmental Sciences 2023;36(4):384-387
9.Genotyping Characteristics of Human Fecal Escherichia coli and Their Association with Multidrug Resistance in Miyun District, Beijing.
Wei Wei ZHANG ; Xiao Lin ZHU ; Le Le DENG ; Ya Jun HAN ; Zhuo Wei LI ; Jin Long WANG ; Yong Liang CHEN ; Ao Lin WANG ; Er Li TIAN ; Bin CHENG ; Lin Hua XU ; Yi Cong CHEN ; Li Li TIAN ; Guang Xue HE
Biomedical and Environmental Sciences 2023;36(5):406-417
OBJECTIVE:
To explore the genotyping characteristics of human fecal Escherichia coli( E. coli) and the relationships between antibiotic resistance genes (ARGs) and multidrug resistance (MDR) of E. coli in Miyun District, Beijing, an area with high incidence of infectious diarrheal cases but no related data.
METHODS:
Over a period of 3 years, 94 E. coli strains were isolated from fecal samples collected from Miyun District Hospital, a surveillance hospital of the National Pathogen Identification Network. The antibiotic susceptibility of the isolates was determined by the broth microdilution method. ARGs, multilocus sequence typing (MLST), and polymorphism trees were analyzed using whole-genome sequencing data (WGS).
RESULTS:
This study revealed that 68.09% of the isolates had MDR, prevalent and distributed in different clades, with a relatively high rate and low pathogenicity. There was no difference in MDR between the diarrheal (49/70) and healthy groups (15/24).
CONCLUSION
We developed a random forest (RF) prediction model of TEM.1 + baeR + mphA + mphB + QnrS1 + AAC.3-IId to identify MDR status, highlighting its potential for early resistance identification. The causes of MDR are likely mobile units transmitting the ARGs. In the future, we will continue to strengthen the monitoring of ARGs and MDR, and increase the number of strains to further verify the accuracy of the MDR markers.
Humans
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Escherichia coli/genetics*
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Escherichia coli Infections/epidemiology*
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Multilocus Sequence Typing
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Genotype
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Beijing
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Drug Resistance, Multiple, Bacterial/genetics*
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Anti-Bacterial Agents/pharmacology*
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Diarrhea
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Microbial Sensitivity Tests
10.Advances in genomics of multi-drug resistant Stenotrophomonas.
Yuhang TANG ; Shiqi FANG ; Linlin XIE ; Chao SUN ; Shanshan LI ; Aiping ZHOU ; Guangxiang CAO ; Jun LI
Chinese Journal of Biotechnology 2023;39(4):1314-1331
Stenotrophomonas species are non-fermentative Gram-negative bacteria that are widely distributed in environment and are highly resistant to numerous antibiotics. Thus, Stenotrophomonas serves as a reservoir of genes encoding antimicrobial resistance (AMR). The detection rate of Stenotrophomonas is rapidly increasing alongside their strengthening intrinsic ability to tolerate a variety of clinical antibiotics. This review illustrated the current genomics advances of antibiotic resistant Stenotrophomonas, highlighting the importance of precise identification and sequence editing. In addition, AMR diversity and transferability have been assessed by the developed bioinformatics tools. However, the working models of AMR in Stenotrophomonas are cryptic and urgently required to be determined. Comparative genomics is envisioned to facilitate the prevention and control of AMR, as well as to gain insights into bacterial adaptability and drug development.
Stenotrophomonas/genetics*
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Drug Resistance, Bacterial/genetics*
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Anti-Bacterial Agents/pharmacology*
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Gram-Negative Bacteria
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Genomics
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Microbial Sensitivity Tests

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