Rathod Milan, Shukla Suraj, Sanapala Paparaidu, Rajni Ekadashi, Maheshwari Geeti, Gajjar Devarshi
Department of Microbiology and Biotechnology Centre, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, 390002, India.
Department of Microbiology, Mahatma Gandhi University of Medical Sciences and Technology, Jaipur, Rajasthan, 302022, India.
Curr Microbiol. 2025 Mar 13;82(5):189. doi: 10.1007/s00284-025-04174-5.
The drastic rise in antibiotic resistance has become a global challenge, including India, due to high morbidity. The delayed identification and lack of treatment are the major causes of death. However, there is a shortage of precise information on the specific resistance pattern and sequence types of Pseudomonas aeruginosa from India that can help in diagnostics and therapy. A total of 16 clinical isolates were collected from the western region of India, along with 181 P. aeruginosa genomes of India from public database were retrieved and thoroughly analysed for antibiotics resistance determinants for associated sequence types and O-serotypes using different bioinformatics tools. Of all collected isolates (n = 16), 9 were extensively drug-resistant (XDR), 6 were multidrug-resistant (MDR), and only 1 isolate was susceptible to selected antibiotics. ST357 (n = 23; 11.6%) was the most frequent, followed by ST308, and ST1203. In serotyping, O11 (n = 85; 43%) was most prevalent. A novel ST4937 was reported and submitted to PubMLST. bla carbapenemase was found in (n = 45; 22.8%) isolates, whereas class D bla was present in (n = 38; 19.2%) isolates, further, several variants were found for class C bla genes, where bla and bla were found to be predominant. We discovered that the amounts of carbapenemases and extended spectrum beta-lactamases (ESBL) genes were lower in India. This can be a relief sometimes, but a rise in high-risk clones could lead to longer hospital stays and more deaths. Therefore, ongoing surveillance of these strains is essential for effective infection management and containment of their spread.
由于发病率高，抗生素耐药性的急剧上升已成为包括印度在内的全球挑战。诊断延误和缺乏治疗是主要死因。然而，关于印度铜绿假单胞菌的特定耐药模式和序列类型，缺乏能有助于诊断和治疗的精确信息。从印度西部地区共收集了16株临床分离株，同时从公共数据库中检索了181个印度铜绿假单胞菌基因组，并使用不同的生物信息学工具对相关序列类型和O血清型的抗生素耐药决定因素进行了全面分析。在所有收集的分离株（n = 16）中，9株为广泛耐药（XDR），6株为多重耐药（MDR），只有1株对选定抗生素敏感。ST357（n = 23；11.6%）最为常见，其次是ST308和ST1203。在血清分型中，O11（n = 85；43%）最为普遍。报告了一个新的ST4937并提交至PubMLST。在（n = 45；22.8%）的分离株中发现了bla碳青霉烯酶，而D类bla存在于（n = 38；19.2%）的分离株中，此外，还发现了C类bla基因的几个变体，其中bla和bla占主导地位。我们发现印度碳青霉烯酶和超广谱β-内酰胺酶（ESBL）基因的数量较少。这有时可能是一种缓解，但高风险克隆的增加可能导致住院时间延长和更多死亡。因此，持续监测这些菌株对于有效管理感染和控制其传播至关重要。
