npj antimicrobials and resistance最新文献

{"title":"Global phylogeography and genetic characterization of carbapenem and ceftazidime-avibactam resistant KPC-33-producing Pseudomonas aeruginosa.","authors":"Longjie Zhou, Jiayao Yao, Ying Zhang, Xiaofan Zhang, Yueyue Hu, Haiyang Liu, Jintao He, Yunsong Yu, Minhua Chen, Yuexing Tu, Xi Li","doi":"10.1038/s44259-024-00073-0","DOIUrl":"10.1038/s44259-024-00073-0","url":null,"abstract":"<p><p>Ceftazidime-avibactam (CZA) is currently one of the last resorts used to treat infections caused by carbapenem-resistant Enterobacteriaceae and Pseudomonas aeruginosa. However, KPC variants have become the main mechanism mediating CZA resistance in KPC-producing gram-negative bacteria after increasing the application of CZA. Our previous study revealed that CZA-resistant KPC-33 had emerged in carbapenem-resistant P. aeruginosa (CRPA) and had resulted in death due to hypervirulence and extensive drug resistance; however, the evolutionary path of KPC-33-producing CRPA has not been investigated. Here, we observed the emergence of bla_KPC-33 in CRPA under drug pressure, leading to resistance to CZA. We further elucidated the pathway of resistance development due to bla_KPC mutations in P. aeruginosa. Three KPC-producing P. aeruginosa (KPC-PA) strains (including one bla_KPC-33-positive strain and two bla_KPC-2-positive strains) were successively isolated from a hospitalized patient. The bla_KPC-33-positive CZA-resistant strain SRPA0656 (CZA MIC >128 μg/mL, imipenem MIC = 32 μg/mL) was isolated after the bla_KPC-2-positive P. aeruginosa SRP2863 (CZA MIC = 1 μg/mL, imipenem MIC >128 μg/mL) was treated with CZA. The subsequent use of carbapenems to treat the infection led to the re-emergence of the KPC-2-producing strain SRPA3703. Additionally, we collected four other KPC-33-producing P. aeruginosa strains. Antimicrobial susceptibility testing revealed that all the KPC-33-bearing P. aeruginosa strains in this study were multidrug-resistant but susceptible to colistin and amikacin. Whole-genome sequencing indicated that bla_KPC-33 was located on two Tn4401-like transposons contained in the plasmids and that most of these plasmids could be transferred into P. aeruginosa PAO1^Rif isolates. Growth rate determination demonstrated that the relative growth rate of P. aeruginosa harboring bla_KPC-33 was faster than that of P. aeruginosa harboring bla_KPC-2 in the logarithmic phase. Global phylogenetic analysis revealed that most KPC-PA strains were isolated from China and the USA. MLST revealed that the most common ST in KPC-PA was ST463, which was detected only in China, and that all the strains carried bla_KPC-2 or its derivatives. These results indicated that the use of CZA for the treatment of KPC-2-producing P. aeruginosa may have contributed to the evolution of KPC-33. The widespread dissemination of KPC-PA (especially the ST463) and Tn4401 transposons may increase the spread of CRPA isolates carrying bla_KPC-33. Close attention to the development of resistance to CZA during clinical treatment of CRPA infection and monitoring CZA-resistant strains is necessary to prevent further spread.</p>","PeriodicalId":520007,"journal":{"name":"npj antimicrobials and resistance","volume":"3 1","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721088/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance.","authors":"Angela Cesaro, Samuel C Hoffman, Payel Das, Cesar de la Fuente-Nunez","doi":"10.1038/s44259-024-00068-x","DOIUrl":"10.1038/s44259-024-00068-x","url":null,"abstract":"<p><p>Artificial intelligence (AI) has transformed infectious disease control, enhancing rapid diagnosis and antibiotic discovery. While conventional tests delay diagnosis, AI-driven methods like machine learning and deep learning assist in pathogen detection, resistance prediction, and drug discovery. These tools improve antibiotic stewardship and identify effective compounds such as antimicrobial peptides and small molecules. This review explores AI applications in diagnostics, therapy, and drug discovery, emphasizing both strengths and areas needing improvement.</p>","PeriodicalId":520007,"journal":{"name":"npj antimicrobials and resistance","volume":"3 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721440/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of gene copy number variation in antimicrobial resistance in human fungal pathogens.","authors":"Adarsh Jay, David F Jordan, Aleeza Gerstein, Christian R Landry","doi":"10.1038/s44259-024-00072-1","DOIUrl":"https://doi.org/10.1038/s44259-024-00072-1","url":null,"abstract":"<p><p>Faced with the burden of increasing resistance to antifungals in many fungal pathogens and the constant emergence of new drug-resistant strains, it is essential to assess the importance of various resistance mechanisms. Fungi have relatively plastic genomes and can tolerate genomic copy number variation (CNV) caused by aneuploidy and gene amplification or deletion. In many cases, these genomic changes lead to adaptation to stressful conditions, including those caused by antifungal drugs. Here, we specifically examine the contribution of CNVs to antifungal resistance. We undertook a thorough literature search, collecting reports of antifungal resistance caused by a CNV, and classifying the examples of CNV-conferred resistance into four main mechanisms. We find that in human fungal pathogens, there is little evidence that gene copy number plays a major role in the emergence of antifungal resistance compared to other types of mutations. We discuss why we might be underestimating their importance and new approaches being used to study them.</p>","PeriodicalId":520007,"journal":{"name":"npj antimicrobials and resistance","volume":"3 ","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11703754/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142960971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}