Suppr超能文献

菲律宾马尼拉市某选定湿货市场生鸡肉中分离出的抗菌药物耐药性概况

Antimicrobial Resistance Profile of Isolated from Raw Chicken Meat in a Selected Wet Market in Manila City, Philippines.

作者信息

Dimaapi Lyder Kyle A, Dela Cruz Angela Lorraine G, Francisco Roger Andrei D, Noble Rei Gilian D, Sabangan Hayley Emerald G, Gavino-Lacuna Azita Racquel, Lota Maria Margarita M

机构信息

College of Public Health, University of the Philippines Manila.

出版信息

Acta Med Philipp. 2025 Jul 15;59(9):107-122. doi: 10.47895/amp.vi0.8383. eCollection 2025.

Abstract

BACKGROUND AND OBJECTIVE

Antimicrobial resistance (AMR) is a leading global public health concern as it resulted in more difficult-to-treat infections and fatalities. In the Philippines, drug-resistant , including multidrug-resistant (MDR), extended-spectrum beta-lactamase (ESBL)-producing, carbapenemase-producing carbapenem-resistant (CP-CR) , have been isolated from common food animals, increasing the risk of cross-contamination between humans, animals, and the environment. However, there is a lack of data on the distribution of in chicken meat in public wet markets. This study aims to describe the AMR profile of in raw chicken meat from retail stalls in a selected wet market in Manila City.

METHODS

This quantitative descriptive study characterized the AMR profile of isolated from 25 raw chicken meat samples from a wet market in Manila City. Antimicrobial susceptibility was determined through disk diffusion method against 23 antimicrobial agents in 16 antimicrobial classes. MDR were identified based on the resistance patterns. ESBL- and carbapenemase-producing capacities of the bacteria were tested through double disk synergy test and modified carbapenem inactivation method, respectively.

RESULTS

Twenty-four out of 25 (96%) chicken samples contained isolates. Of these, 23 (96%) were classified as MDR. High resistance rates were observed against ampicillin (92%), tetracycline (88%), trimethoprim-sulfamethoxazole (83%), chloramphenicol (79%), ampicillin-sulbactam (75%), amoxicillin-clavulanic acid (67%), fosfomycin (67%), and streptomycin (54%). The majority of the isolates were still susceptible to a wide range of selected antimicrobial agents, including carbapenems (100%), ceftriaxone (100%), cefepime (100%), cefuroxime (96%), cefotaxime (96%), ceftazidime (96%), piperacillin-tazobactam (96%), aztreonam (96%), cefoxitin (92%), and nitrofurantoin (83%), among others. Meanwhile, none of the 24 isolated samples were classified as ESBL- and CP-CR .

CONCLUSION

Among the 25 chicken samples, 24 colonies were isolated that exhibited 0% to 92% resistance rates against selected antimicrobial agents. Most isolates were classified as MDR, but none were considered ESBL- and CP-CR . This study suggests that chickens in wet markets can potentially serve as reservoir hosts for drug-resistance genes, which could transfer to other bacteria and contaminate humans, animals, and the environment within the food production and supply chain. These findings emphasize the need for AMR surveillance and strategies to combat AMR in the Philippines through the One Health approach.

摘要

背景与目的

抗菌药物耐药性(AMR)是全球主要的公共卫生问题,因为它导致感染更难治疗并造成死亡。在菲律宾,已从常见食用动物中分离出耐药菌,包括多重耐药菌(MDR)、产超广谱β-内酰胺酶(ESBL)菌、产碳青霉烯酶的耐碳青霉烯菌(CP-CR),这增加了人类、动物和环境之间交叉污染的风险。然而,关于公共湿货市场鸡肉中耐药菌分布的数据却很缺乏。本研究旨在描述马尼拉市一个选定湿货市场零售摊位的生鸡肉中耐药菌的AMR特征。

方法

这项定量描述性研究对从马尼拉市一个湿货市场的25份生鸡肉样本中分离出的耐药菌的AMR特征进行了描述。通过纸片扩散法测定了针对16类抗菌药物中的23种抗菌剂的药敏情况。根据耐药模式鉴定MDR菌。分别通过双纸片协同试验和改良碳青霉烯灭活法检测细菌产生ESBL和碳青霉烯酶的能力。

结果

25份鸡肉样本中有24份(96%)含有耐药菌分离株。其中,23份(96%)被归类为MDR。观察到对氨苄西林(92%)、四环素(88%)、甲氧苄啶-磺胺甲恶唑(83%)、氯霉素(79%)、氨苄西林-舒巴坦(75%)、阿莫西林-克拉维酸(67%)、磷霉素(67%)和链霉素(54%)的耐药率较高。大多数耐药菌分离株对多种选定的抗菌剂仍敏感,包括碳青霉烯类(100%)、头孢曲松(100%)、头孢吡肟(100%)、头孢呋辛(96%)、头孢噻肟(96%)、头孢他啶(96%)、哌拉西林-他唑巴坦(96%)、氨曲南(96%)、头孢西丁(92%)和呋喃妥因(83%)等。同时,24份分离出的耐药菌样本中没有一份被归类为产ESBL菌和CP-CR菌。

结论

在25份鸡肉样本中,分离出24个耐药菌菌落,其对选定抗菌剂的耐药率为0%至92%。大多数分离株被归类为MDR,但没有一株被认为是产ESBL菌和CP-CR菌。本研究表明,湿货市场的鸡可能是耐药基因的潜在储存宿主,这些基因可能转移到其他细菌并在食品生产和供应链中污染人类、动物和环境。这些发现强调了在菲律宾通过“同一健康”方法进行AMR监测和对抗AMR策略的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98b6/12340451/cb935010b716/AMP-59-9-8383-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验