Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance data

IF 14.3 1区 医学 Q1 INFECTIOUS DISEASES Journal of Infection Pub Date : 2024-09-07 DOI:10.1016/j.jinf.2024.106265
{"title":"Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance data","authors":"","doi":"10.1016/j.jinf.2024.106265","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>Integrating pathogen genomic surveillance with bioinformatics can enhance public health responses by identifying risk and guiding interventions. This study focusses on the two predominant <em>Campylobacter</em> species, which are commonly found in the gut of birds and mammals and often infect humans via contaminated food. Rising incidence and antimicrobial resistance (AMR) are a global concern, and there is an urgent need to quantify the main routes to human infection.</p></div><div><h3>Methods</h3><p>During routine US national surveillance (2009–2019), 8856 <em>Campylobacter</em> genomes from human infections and 16,703 from possible sources were sequenced. Using machine learning and probabilistic models, we target genetic variation associated with host adaptation to attribute the source of human infections and estimate the importance of different disease reservoirs.</p></div><div><h3>Results</h3><p>Poultry was identified as the primary source of human infections, responsible for an estimated 68% of cases, followed by cattle (28%), and only a small contribution from wild birds (3%) and pork sources (1%). There was also evidence of an increase in multidrug resistance, particularly among isolates attributed to chickens.</p></div><div><h3>Conclusions</h3><p>National surveillance and source attribution can guide policy, and our study suggests that interventions targeting poultry will yield the greatest reductions in campylobacteriosis and spread of AMR in the US.</p></div><div><h3>Data availability</h3><p>All sequence reads were uploaded and shared on NCBI’s Sequence Read Archive (SRA) associated with BioProjects; PRJNA239251 (CDC / PulseNet surveillance), PRJNA287430 (FSIS surveillance), PRJNA292668 &amp; PRJNA292664 (NARMS) and PRJNA258022 (FDA surveillance). Publicly available genomes, including reference genomes and isolates sampled worldwide from wild birds are associated with BioProject accessions: PRJNA176480, PRJNA177352, PRJNA342755, PRJNA345429, PRJNA312235, PRJNA415188, PRJNA524300, PRJNA528879, PRJNA529798, PRJNA575343, PRJNA524315 and PRJNA689604. Contiguous assemblies of all genome sequences compared are available at Mendeley data (assembled <em>C. coli</em> genomes doi: 10.17632/gxswjvxyh3.1; assembled <em>C. jejuni</em> genomes doi: 10.17632/6ngsz3dtbd.1) and individual project and accession numbers can be found in <span><span>Supplementary tables S1 and S2</span></span>, which also includes pubMLST identifiers for assembled genomes. Figshare (10.6084/m9.figshare.20279928). Interactive phylogenies are hosted on microreact separately for <em>C. jejuni</em> (<span><span>https://microreact.org/project/pascoe-us-cjejuni</span><svg><path></path></svg></span>) and <em>C. coli</em> (<span><span>https://microreact.org/project/pascoe-us-ccoli</span><svg><path></path></svg></span>).</p></div>","PeriodicalId":50180,"journal":{"name":"Journal of Infection","volume":null,"pages":null},"PeriodicalIF":14.3000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0163445324001993/pdfft?md5=c0b37a24b73f499375e261dec42d2063&pid=1-s2.0-S0163445324001993-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Infection","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0163445324001993","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives

Integrating pathogen genomic surveillance with bioinformatics can enhance public health responses by identifying risk and guiding interventions. This study focusses on the two predominant Campylobacter species, which are commonly found in the gut of birds and mammals and often infect humans via contaminated food. Rising incidence and antimicrobial resistance (AMR) are a global concern, and there is an urgent need to quantify the main routes to human infection.

Methods

During routine US national surveillance (2009–2019), 8856 Campylobacter genomes from human infections and 16,703 from possible sources were sequenced. Using machine learning and probabilistic models, we target genetic variation associated with host adaptation to attribute the source of human infections and estimate the importance of different disease reservoirs.

Results

Poultry was identified as the primary source of human infections, responsible for an estimated 68% of cases, followed by cattle (28%), and only a small contribution from wild birds (3%) and pork sources (1%). There was also evidence of an increase in multidrug resistance, particularly among isolates attributed to chickens.

Conclusions

National surveillance and source attribution can guide policy, and our study suggests that interventions targeting poultry will yield the greatest reductions in campylobacteriosis and spread of AMR in the US.

Data availability

All sequence reads were uploaded and shared on NCBI’s Sequence Read Archive (SRA) associated with BioProjects; PRJNA239251 (CDC / PulseNet surveillance), PRJNA287430 (FSIS surveillance), PRJNA292668 & PRJNA292664 (NARMS) and PRJNA258022 (FDA surveillance). Publicly available genomes, including reference genomes and isolates sampled worldwide from wild birds are associated with BioProject accessions: PRJNA176480, PRJNA177352, PRJNA342755, PRJNA345429, PRJNA312235, PRJNA415188, PRJNA524300, PRJNA528879, PRJNA529798, PRJNA575343, PRJNA524315 and PRJNA689604. Contiguous assemblies of all genome sequences compared are available at Mendeley data (assembled C. coli genomes doi: 10.17632/gxswjvxyh3.1; assembled C. jejuni genomes doi: 10.17632/6ngsz3dtbd.1) and individual project and accession numbers can be found in Supplementary tables S1 and S2, which also includes pubMLST identifiers for assembled genomes. Figshare (10.6084/m9.figshare.20279928). Interactive phylogenies are hosted on microreact separately for C. jejuni (https://microreact.org/project/pascoe-us-cjejuni) and C. coli (https://microreact.org/project/pascoe-us-ccoli).

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过机器学习确定美国弯曲杆菌感染来源:对国家监测数据的回顾性分析。
目的:将病原体基因组监测与生物信息学相结合,可以通过识别风险和指导干预措施来加强公共卫生应对措施。本研究的重点是两种主要的弯曲杆菌,它们通常存在于鸟类和哺乳动物的肠道中,并经常通过受污染的食物感染人类。发病率上升和抗菌药耐药性(AMR)是全球关注的问题,因此迫切需要量化人类感染的主要途径:方法:在美国国家例行监测期间(2009-2019 年),对来自人类感染的 8856 个弯曲杆菌基因组和来自可能来源的 16703 个弯曲杆菌基因组进行了测序。利用机器学习和概率模型,我们锁定了与宿主适应性相关的基因变异,以确定人类感染的来源,并估计不同疾病储库的重要性:结果:家禽被确定为人类感染的主要来源,估计占病例的 68%,其次是牛(28%),野鸟(3%)和猪肉来源(1%)只占很小比例。还有证据表明,耐多药的情况有所增加,尤其是在鸡的分离物中:我们的研究表明,针对家禽的干预措施将在最大程度上减少美国的弯曲杆菌病和 AMR 传播:所有序列读数都已上传并共享到与 BioProjects 相关的 NCBI 序列读数档案 (SRA);PRJNA239251(CDC / PulseNet 监测)、PRJNA287430(FSIS 监测)、PRJNA292668 和 PRJNA292664(NARMS)以及 PRJNA258022(FDA 监测)。公开的基因组,包括参考基因组和从全球野生鸟类中采样的分离物,都与 BioProject 项目的登录相关联:PRJNA176480、PRJNA177352、PRJNA342755、PRJNA345429、PRJNA312235、PRJNA415188、PRJNA524300、PRJNA528879、PRJNA529798、PRJNA575343、PRJNA524315 和 PRJNA689604。比较的所有基因组序列的连续组装结果可在 Mendeley data(组装的大肠杆菌基因组 doi:10.17632/gxswjvxyh3.1;组装的空肠杆菌基因组 doi:10.17632/6ngsz3dtbd.1)中找到,单个项目和登录号可在补充表 S1 和 S2 中找到,其中还包括组装基因组的 pubMLST 标识符。Figshare (10.6084/m9.figshare.20279928).空肠大肠杆菌 (https://microreact.org/project/pascoe-us-cjejuni) 和大肠杆菌 (https://microreact.org/project/pascoe-us-ccoli) 的交互式系统发生分别托管在 microreact 上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Infection
Journal of Infection 医学-传染病学
CiteScore
45.90
自引率
3.20%
发文量
475
审稿时长
16 days
期刊介绍: The Journal of Infection publishes original papers on all aspects of infection - clinical, microbiological and epidemiological. The Journal seeks to bring together knowledge from all specialties involved in infection research and clinical practice, and present the best work in the ever-changing field of infection. Each issue brings you Editorials that describe current or controversial topics of interest, high quality Reviews to keep you in touch with the latest developments in specific fields of interest, an Epidemiology section reporting studies in the hospital and the general community, and a lively correspondence section.
期刊最新文献
Alternating magnetic fields (AMF) and linezolid reduce Staphylococcus aureus biofilm in a large animal implant model The recent rapid rise in pertussis in Chaoyang District, Beijing: Improved recognition and diagnostic capabilities Corrigendum to “The relative vaccine effectiveness of high-dose vs standard-dose influenza vaccines in preventing hospitalization and mortality: A meta-analysis of evidence from randomized trials” [J Infect 89 (2024) 106187] Chatbots are just as good as professors in both factual recall and clinical scenario analysis: Emergence of a new tool in clinical microbiology and infectious disease Microbiology and outcomes of tubo-ovarian abscesses: A 5-year cohort of 105 cases
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1