• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

流感感染期间人类上呼吸道的抗生素耐药性特征及宿主-微生物组相互作用。

Characterization of antibiotic resistance and host-microbiome interactions in the human upper respiratory tract during influenza infection.

机构信息

Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, 10003, USA.

Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.

出版信息

Microbiome. 2020 Mar 17;8(1):39. doi: 10.1186/s40168-020-00803-2.

DOI:10.1186/s40168-020-00803-2
PMID:32178738
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7076942/
Abstract

BACKGROUND

The abundance and diversity of antibiotic resistance genes (ARGs) in the human respiratory microbiome remain poorly characterized. In the context of influenza virus infection, interactions between the virus, the host, and resident bacteria with pathogenic potential are known to complicate and worsen disease, resulting in coinfection and increased morbidity and mortality of infected individuals. When pathogenic bacteria acquire antibiotic resistance, they are more difficult to treat and of global health concern. Characterization of ARG expression in the upper respiratory tract could help better understand the role antibiotic resistance plays in the pathogenesis of influenza-associated bacterial secondary infection.

RESULTS

Thirty-seven individuals participating in the Household Influenza Transmission Study (HITS) in Managua, Nicaragua, were selected for this study. We performed metatranscriptomics and 16S rRNA gene sequencing analyses on nasal and throat swab samples, and host transcriptome profiling on blood samples. Individuals clustered into two groups based on their microbial gene expression profiles, with several microbial pathways enriched with genes differentially expressed between groups. We also analyzed antibiotic resistance gene expression and determined that approximately 25% of the sequence reads that corresponded to antibiotic resistance genes mapped to Streptococcus pneumoniae and Staphylococcus aureus. Following construction of an integrated network of ARG expression with host gene co-expression, we identified several host key regulators involved in the host response to influenza virus and bacterial infections, and host gene pathways associated with specific antibiotic resistance genes.

CONCLUSIONS

This study indicates the host response to influenza infection could indirectly affect antibiotic resistance gene expression in the respiratory tract by impacting the microbial community structure and overall microbial gene expression. Interactions between the host systemic responses to influenza infection and antibiotic resistance gene expression highlight the importance of viral-bacterial co-infection in acute respiratory infections like influenza. Video abstract.

摘要

背景

人类呼吸道微生物组中抗生素耐药基因(ARGs)的丰度和多样性仍未得到充分描述。在流感病毒感染的情况下,病毒、宿主和具有潜在致病性的常驻细菌之间的相互作用已知会使疾病复杂化和恶化,导致合并感染,并增加感染个体的发病率和死亡率。当致病性细菌获得抗生素耐药性时,它们更难治疗,这是全球健康关注的问题。对上呼吸道中 ARG 表达的特征描述有助于更好地了解抗生素耐药性在流感相关细菌继发感染发病机制中的作用。

结果

从尼加拉瓜马那瓜的家庭流感传播研究(HITS)中选择了 37 名参与者进行本研究。我们对鼻和咽喉拭子样本进行了宏转录组学和 16S rRNA 基因测序分析,并对血液样本进行了宿主转录组分析。根据他们的微生物基因表达谱,个体聚类为两组,有几个微生物途径富集了两组之间差异表达的基因。我们还分析了抗生素耐药基因的表达,并确定大约 25%与抗生素耐药基因相对应的序列读数映射到肺炎链球菌和金黄色葡萄球菌。在构建 ARG 表达与宿主基因共表达的综合网络后,我们确定了几个宿主关键调节剂,这些调节剂参与宿主对流感病毒和细菌感染的反应,以及与特定抗生素耐药基因相关的宿主基因途径。

结论

这项研究表明,宿主对流感感染的反应可以通过影响微生物群落结构和整体微生物基因表达,间接影响呼吸道中的抗生素耐药基因表达。宿主对流感感染的系统反应与抗生素耐药基因表达之间的相互作用突出了急性呼吸道感染(如流感)中病毒-细菌合并感染的重要性。视频摘要。

相似文献

1
Characterization of antibiotic resistance and host-microbiome interactions in the human upper respiratory tract during influenza infection.流感感染期间人类上呼吸道的抗生素耐药性特征及宿主-微生物组相互作用。
Microbiome. 2020 Mar 17;8(1):39. doi: 10.1186/s40168-020-00803-2.
2
The nasopharyngeal microbiota in patients with viral respiratory tract infections is enriched in bacterial pathogens.病毒呼吸道感染患者的鼻咽微生物群中富含细菌病原体。
Eur J Clin Microbiol Infect Dis. 2018 Sep;37(9):1725-1733. doi: 10.1007/s10096-018-3305-8. Epub 2018 Jul 22.
3
Unique microbial landscape in the human oropharynx during different types of acute respiratory tract infections.人类口咽部不同类型急性呼吸道感染期间的独特微生物景观。
Microbiome. 2023 Jul 24;11(1):157. doi: 10.1186/s40168-023-01597-9.
4
Altered Respiratory Microbiomes, Plasma Metabolites, and Immune Responses in Influenza A Virus and Methicillin-Resistant Staphylococcus aureus Coinfection.甲型流感病毒和耐甲氧西林金黄色葡萄球菌合并感染改变的呼吸微生物组、血浆代谢物和免疫反应。
Microbiol Spectr. 2023 Aug 17;11(4):e0524722. doi: 10.1128/spectrum.05247-22. Epub 2023 Jun 15.
5
Characterization of the upper respiratory tract microbiomes of patients with pandemic H1N1 influenza.大流行性 H1N1 流感患者上呼吸道微生物组的特征。
PLoS One. 2013 Jul 2;8(7):e69559. doi: 10.1371/journal.pone.0069559. Print 2013.
6
Clinical significance of viral-bacterial codetection among young children with respiratory tract infections: Findings of RSV, influenza, adenoviral infections.呼吸道感染幼儿中病毒-细菌联合检测的临床意义:呼吸道合胞病毒、流感病毒、腺病毒感染的研究结果
Medicine (Baltimore). 2020 Jan;99(2):e18504. doi: 10.1097/MD.0000000000018504.
7
Lethal synergism of 2009 pandemic H1N1 influenza virus and Streptococcus pneumoniae coinfection is associated with loss of murine lung repair responses.2009 年大流行性 H1N1 流感病毒与肺炎链球菌合并感染的致命协同作用与小鼠肺修复反应的丧失有关。
mBio. 2011 Sep 20;2(5). doi: 10.1128/mBio.00172-11. Print 2011.
8
Microbial Composition of the Human Nasopharynx Varies According to Influenza Virus Type and Vaccination Status.人类鼻咽部的微生物组成因流感病毒类型和疫苗接种状态而异。
mBio. 2019 Jul 2;10(4):e01296-19. doi: 10.1128/mBio.01296-19.
9
CRISPR arrays as high-resolution markers to track microbial transmission during influenza infection.CRISPR 阵列作为高分辨率标记物,可追踪流感感染期间微生物的传播。
Microbiome. 2023 Jun 17;11(1):136. doi: 10.1186/s40168-023-01568-0.
10
Distinct Nasopharyngeal and Oropharyngeal Microbiota of Children with Influenza A Virus Compared with Healthy Children.甲型流感病毒患儿与健康儿童鼻咽及口咽微生物群的差异。
Biomed Res Int. 2018 Nov 19;2018:6362716. doi: 10.1155/2018/6362716. eCollection 2018.

引用本文的文献

1
From Microbial Ecology to Clinical Challenges: The Respiratory Microbiome's Role in Antibiotic Resistance.从微生物生态学到临床挑战:呼吸道微生物群在抗生素耐药性中的作用
Pathogens. 2025 Apr 5;14(4):355. doi: 10.3390/pathogens14040355.
2
Transmission of the human respiratory microbiome and antibiotic resistance genes in healthy populations.健康人群中人类呼吸道微生物组及抗生素耐药基因的传播
Microbiome. 2025 May 6;13(1):115. doi: 10.1186/s40168-025-02107-9.
3
Metatranscriptomic profiling reveals pathogen and host response signatures of pediatric acute sinusitis and upper respiratory infection.

本文引用的文献

1
Progression of whole-blood transcriptional signatures from interferon-induced to neutrophil-associated patterns in severe influenza.严重流感中从干扰素诱导到中性粒细胞相关模式的全血转录特征进展。
Nat Immunol. 2018 Jun;19(6):625-635. doi: 10.1038/s41590-018-0111-5. Epub 2018 May 18.
2
Environmental factors influencing the development and spread of antibiotic resistance.环境因素对抗生素耐药性的产生和传播的影响。
FEMS Microbiol Rev. 2018 Jan 1;42(1). doi: 10.1093/femsre/fux053.
3
A Different Microbiome Gene Repertoire in the Airways of Cystic Fibrosis Patients with Severe Lung Disease.
宏转录组分析揭示小儿急性鼻窦炎和上呼吸道感染的病原体及宿主反应特征。
Genome Med. 2025 Mar 17;17(1):22. doi: 10.1186/s13073-025-01447-3.
4
Decoding host-microbiome interactions through co-expression network analysis within the non-human primate intestine.通过非人类灵长类动物肠道内的共表达网络分析解码宿主-微生物组相互作用。
mSystems. 2024 May 16;9(5):e0140523. doi: 10.1128/msystems.01405-23. Epub 2024 Apr 1.
5
Comparing sputum microbiota characteristics between severe and critically ill influenza patients.比较重症和危重症流感患者的痰液微生物组特征。
Front Cell Infect Microbiol. 2023 Dec 18;13:1297946. doi: 10.3389/fcimb.2023.1297946. eCollection 2023.
6
Arm race among closely-related carbapenem-resistant Klebsiella pneumoniae clones.密切相关的耐碳青霉烯肺炎克雷伯菌克隆之间的军备竞赛。
ISME Commun. 2022 Aug 22;2(1):76. doi: 10.1038/s43705-022-00163-y.
7
Differential airway resistome and its correlations with clinical characteristics in Haemophilus- or Pseudomonas-predominant microbial subtypes of bronchiectasis.支气管扩张症中以流感嗜血杆菌或铜绿假单胞菌为主的微生物亚型的气道差异抗性组及其与临床特征的相关性。
Respir Res. 2023 Nov 2;24(1):264. doi: 10.1186/s12931-023-02562-8.
8
High-throughput functional dissection of noncoding SNPs with biased allelic enhancer activity for insulin resistance-relevant phenotypes.高通量功能解析具有偏向性等位基因增强子活性的非编码 SNPs 与胰岛素抵抗相关表型。
Am J Hum Genet. 2023 Aug 3;110(8):1266-1288. doi: 10.1016/j.ajhg.2023.07.002. Epub 2023 Jul 27.
9
Changes of microbiota level in urinary tract infections: A meta-analysis.尿路感染中微生物群水平的变化:一项荟萃分析。
Open Med (Wars). 2023 May 26;18(1):20230702. doi: 10.1515/med-2023-0702. eCollection 2023.
10
Gut Microbiota Composition Can Predict Colonization by Multidrug-Resistant Bacteria in SARS-CoV-2 Patients in Intensive Care Unit: A Pilot Study.肠道微生物群组成可预测重症监护病房中新冠病毒患者多重耐药菌的定植:一项初步研究
Antibiotics (Basel). 2023 Mar 2;12(3):498. doi: 10.3390/antibiotics12030498.
患有严重肺部疾病的囊性纤维化患者气道中不同的微生物组基因库。
Int J Mol Sci. 2017 Jul 29;18(8):1654. doi: 10.3390/ijms18081654.
4
Overexpression of antibiotic resistance genes in hospital effluents over time.随着时间推移,医院废水中抗生素抗性基因的表达量增加。
J Antimicrob Chemother. 2017 Jun 1;72(6):1617-1623. doi: 10.1093/jac/dkx017.
5
Antimicrobial susceptibility to β-lactam antibiotics and production of BRO β-lactamase in clinical isolates of Moraxella catarrhalis from a Japanese hospital.日本一家医院卡他莫拉菌临床分离株对β-内酰胺类抗生素的药敏性及BROβ-内酰胺酶的产生情况
J Microbiol Immunol Infect. 2017 Jun;50(3):386-389. doi: 10.1016/j.jmii.2016.08.003. Epub 2016 Dec 18.
6
MEGARes: an antimicrobial resistance database for high throughput sequencing.MEGARes:一个用于高通量测序的抗菌药物耐药性数据库。
Nucleic Acids Res. 2017 Jan 4;45(D1):D574-D580. doi: 10.1093/nar/gkw1009. Epub 2016 Nov 28.
7
Prevalence of Antibiotic Resistance Genes among Human Gut-Derived Bifidobacteria.人体肠道双歧杆菌中抗生素抗性基因的流行情况。
Appl Environ Microbiol. 2017 Jan 17;83(3). doi: 10.1128/AEM.02894-16. Print 2017 Feb 1.
8
FMAP: Functional Mapping and Analysis Pipeline for metagenomics and metatranscriptomics studies.FMAP:用于宏基因组学和宏转录组学研究的功能映射与分析管道。
BMC Bioinformatics. 2016 Oct 10;17(1):420. doi: 10.1186/s12859-016-1278-0.
9
The Role of Bacterial Secretion Systems in the Virulence of Gram-Negative Airway Pathogens Associated with Cystic Fibrosis.细菌分泌系统在与囊性纤维化相关的革兰氏阴性气道病原体毒力中的作用
Front Microbiol. 2016 Aug 30;7:1336. doi: 10.3389/fmicb.2016.01336. eCollection 2016.
10
The Roles of Type I Interferon in Bacterial Infection.I型干扰素在细菌感染中的作用。
Cell Host Microbe. 2016 Jun 8;19(6):760-9. doi: 10.1016/j.chom.2016.05.016.