{"title":"人临床肠杆菌科β -内酰胺酶基因的分布。","authors":"Md.Kaisar Rahman, Babafela Awosile","doi":"10.1016/j.idnow.2024.105019","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>This study aimed to explore the distribution of beta-lactamase genes in Enterobacteriaceae from human clinical samples.</div></div><div><h3>Methods</h3><div>We analyzed data from 83 countries through the Antimicrobial Testing Leadership and Surveillance program, spanning 2004 to 2021. We calculated the proportion of each β-lactamase gene across nine bacterial species and generated a heatmap for β-lactamase genes with a frequency of ≥ 1 % in at least one species.</div></div><div><h3>Results</h3><div>A total of 359 β-lactamase genes were identified, with the highest proportion found in <em>Klebsiella</em> spp. (61.84 %, n = 222), followed by <em>Escherichia<!--> <!-->coli</em> (47.63 %, n = 171), and <em>Proteus</em> spp. (20.61 %, n = 74). The ESBL gene <em>bla</em><sub>CTX-M−15</sub> was most prevalent in <em>Klebsiella</em> spp. (62.39 %) and <em>E.<!--> <!-->coli</em> (53.16 %). The carbapenemase genes <em>bla</em><sub>NDM-1</sub>, <em>bla</em><sub>OXA-48</sub>, and <em>bla</em><sub>KPC-2</sub> were notably higher in <em>Providencia</em> spp. (59.47 %), <em>Raoultella</em> spp. (45.45 %), and <em>Serratia</em> spp. (25.24 %), respectively.</div></div><div><h3>Conclusion</h3><div>Further surveillance and research are needed to investigate the diversity of β-lactamase genes across One Health interfaces.</div></div>","PeriodicalId":13539,"journal":{"name":"Infectious diseases now","volume":"55 1","pages":"Article 105019"},"PeriodicalIF":2.9000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distribution of beta-lactamase genes in Enterobacteriaceae from human clinical samples\",\"authors\":\"Md.Kaisar Rahman, Babafela Awosile\",\"doi\":\"10.1016/j.idnow.2024.105019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>This study aimed to explore the distribution of beta-lactamase genes in Enterobacteriaceae from human clinical samples.</div></div><div><h3>Methods</h3><div>We analyzed data from 83 countries through the Antimicrobial Testing Leadership and Surveillance program, spanning 2004 to 2021. We calculated the proportion of each β-lactamase gene across nine bacterial species and generated a heatmap for β-lactamase genes with a frequency of ≥ 1 % in at least one species.</div></div><div><h3>Results</h3><div>A total of 359 β-lactamase genes were identified, with the highest proportion found in <em>Klebsiella</em> spp. (61.84 %, n = 222), followed by <em>Escherichia<!--> <!-->coli</em> (47.63 %, n = 171), and <em>Proteus</em> spp. (20.61 %, n = 74). The ESBL gene <em>bla</em><sub>CTX-M−15</sub> was most prevalent in <em>Klebsiella</em> spp. (62.39 %) and <em>E.<!--> <!-->coli</em> (53.16 %). The carbapenemase genes <em>bla</em><sub>NDM-1</sub>, <em>bla</em><sub>OXA-48</sub>, and <em>bla</em><sub>KPC-2</sub> were notably higher in <em>Providencia</em> spp. (59.47 %), <em>Raoultella</em> spp. (45.45 %), and <em>Serratia</em> spp. (25.24 %), respectively.</div></div><div><h3>Conclusion</h3><div>Further surveillance and research are needed to investigate the diversity of β-lactamase genes across One Health interfaces.</div></div>\",\"PeriodicalId\":13539,\"journal\":{\"name\":\"Infectious diseases now\",\"volume\":\"55 1\",\"pages\":\"Article 105019\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infectious diseases now\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666991924001866\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infectious diseases now","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666991924001866","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
摘要
背景:本研究旨在探讨肠杆菌科人类临床样本中β -内酰胺酶基因的分布。方法:我们通过抗微生物检测领导和监测项目分析了2004年至2021年83个国家的数据。我们计算了9种细菌中每个β-内酰胺酶基因的比例,并生成了至少一个物种中频率为 ≥ 1 %的β-内酰胺酶基因热图。结果:共有359β内酰胺酶基因被确定,最高的比例在克雷伯氏菌spp。(61.84 % n = 222),其次是Escherichiacoli(47.63 % n = 171),和变形杆菌spp。(20.61 % n = 74)。ESBL基因blaCTX-M-15在克雷伯氏菌(62.39 %)和大肠杆菌(53.16 %)中最常见。碳青霉烯酶基因blaNDM-1、blaOXA-48和blaKPC-2在普罗维登氏菌(59.47 %)、拉乌尔氏菌(45.45 %)和塞拉氏菌(25.24 %)中表达量显著高于其他基因。结论:β-内酰胺酶基因的多样性有待于进一步的监测和研究。
Distribution of beta-lactamase genes in Enterobacteriaceae from human clinical samples
Background
This study aimed to explore the distribution of beta-lactamase genes in Enterobacteriaceae from human clinical samples.
Methods
We analyzed data from 83 countries through the Antimicrobial Testing Leadership and Surveillance program, spanning 2004 to 2021. We calculated the proportion of each β-lactamase gene across nine bacterial species and generated a heatmap for β-lactamase genes with a frequency of ≥ 1 % in at least one species.
Results
A total of 359 β-lactamase genes were identified, with the highest proportion found in Klebsiella spp. (61.84 %, n = 222), followed by Escherichia coli (47.63 %, n = 171), and Proteus spp. (20.61 %, n = 74). The ESBL gene blaCTX-M−15 was most prevalent in Klebsiella spp. (62.39 %) and E. coli (53.16 %). The carbapenemase genes blaNDM-1, blaOXA-48, and blaKPC-2 were notably higher in Providencia spp. (59.47 %), Raoultella spp. (45.45 %), and Serratia spp. (25.24 %), respectively.
Conclusion
Further surveillance and research are needed to investigate the diversity of β-lactamase genes across One Health interfaces.