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Rapid multiplex PCR panel for pneumonia in hospitalised patients with suspected pneumonia in the USA: a single-centre, open-label, pragmatic, randomised controlled trial. 美国对住院疑似肺炎患者进行肺炎快速多重 PCR 检测:单中心、开放标签、实用随机对照试验。
IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2024-10-16 DOI: 10.1016/S2666-5247(24)00170-8
Abinash Virk, Angel P Strasburg, Kami D Kies, Alexander D Donadio, Jay Mandrekar, William S Harmsen, Ryan W Stevens, Lynn L Estes, Aaron J Tande, Douglas W Challener, Douglas R Osmon, Madiha Fida, Paschalis Vergidis, Gina A Suh, John W Wilson, Nipunie S Rajapakse, Bijan J Borah, Ruchita Dholakia, Katelyn A Reed, Lisa M Hines, Audrey N Schuetz, Robin Patel
<p><strong>Background: </strong>The clinical utility of rapid multiplex respiratory specimen PCR panels for pneumonia for patients with suspected pneumonia is undefined. We aimed to compare the effect of the BioFire FilmArray pneumonia panel (bioMérieux, Salt Lake City, UT, USA) with standard of care testing on antibiotic use in a real-world hospital setting.</p><p><strong>Methods: </strong>We conducted a single-centre, open-label, pragmatic, randomised controlled trial at the Mayo Clinic, Rochester, MN, USA. Hospitalised patients (aged ≥18 years) with suspected pneumonia, from whom expectorated or induced sputum, tracheal secretions, or bronchoalveolar lavage fluid respiratory culture samples (one per individual) could be collected during index hospitalisation, were eligible for inclusion. Samples from eligible participants were randomly assigned (1:1) with a computerised tool to undergo testing with either the BioFire FilmArray pneumonia panel, conventional culture, and antimicrobial susceptibility testing (intervention group) or conventional culture and antimicrobial susceptibility testing alone (control group). Antimicrobial stewardship review in both groups involved an assessment and recommendations for antibiotic modifications based on clinical data and the results from the BioFire FilmArray pneumonia panel, conventional culture, or both. The primary outcome was median time to first antibiotic modification (ie, escalation or de-escalation of antibiotics against Gram-negative and Gram-positive bacteria) within 96 h of randomisation, assessed with the Wilcoxon rank-sum test and analysed in a modified intention-to-treat population. This trial is registered with ClinicalTrials.gov (NCT05937126).</p><p><strong>Findings: </strong>Between Sept 15, 2020, and Sept 19, 2022, 1547 patients were screened for eligibility, of whom 1181 (76·3%) were randomly assigned: 582 (49·3%) to the intervention group and 599 (50·7%) to the control group. In total, 1152 participants were included in the modified intention-to-treat analysis, 589 (51·1%) in the control group and 563 (48·9%) in the intervention group. For the modified intention-to-treat population, median time to any first antibiotic modification was 20·4 h (95% CI 18·0-20·4) in the intervention group and 25·8 h (22·0-28·7) in the control group (p=0·076). Median time to any antibiotic escalation was 13·8 h (9·2-19·0) in the intervention group and 24·1 h (19·5-29·6) in the control group (p=0·0022). Median time to escalation of antibiotics against Gram-positive organisms was 10·3 h (6·2-30·9) in the intervention group and 24·6 h (19·5-37·2) in the control group (p=0·044); median time to escalation of antibiotics against Gram-negative organisms was 17·3 h (10·8-23·3) in the intervention group and 27·2 h (21·3-33·9) in the control group (p=0·010). Median time to any antibiotic de-escalation did not differ between groups (p=0·37). Median time to first de-escalation of antibiotics against Gram-positive organis
背景:对于疑似肺炎患者而言,肺炎快速多重呼吸道标本 PCR 检测板的临床效用尚不明确。我们旨在比较 BioFire FilmArray 肺炎检测试剂盒(生物梅里埃公司,美国犹他州盐湖城)与标准护理检测在实际医院环境中对抗生素使用的影响:我们在美国明尼苏达州罗切斯特梅奥诊所进行了一项单中心、开放标签、实用随机对照试验。疑似肺炎住院患者(年龄≥18 岁)均符合纳入试验的条件,这些患者在住院期间可收集到祛痰或诱导痰、气管分泌物或支气管肺泡灌洗液呼吸道培养样本(每人一份)。符合条件的参与者的样本将通过计算机化工具随机分配(1:1)接受 BioFire FilmArray 肺炎面板、传统培养和抗菌药物药敏试验(干预组)或仅接受传统培养和抗菌药物药敏试验(对照组)。两组的抗菌药物管理审查都包括根据临床数据和 BioFire FilmArray 肺炎检测板、常规培养或两者的结果进行评估并提出抗生素调整建议。主要结果是随机分组后 96 小时内首次调整抗生素(即升级或降级抗革兰氏阴性菌和革兰氏阳性菌的抗生素)的中位时间,采用 Wilcoxon 秩和检验进行评估,并在修改后的意向治疗人群中进行分析。该试验已在 ClinicalTrials.gov 注册(NCT05937126):2020年9月15日至2022年9月19日期间,共筛选出1547名符合条件的患者,其中1181人(76-3%)被随机分配:582人(49-3%)被分配到干预组,599人(50-7%)被分配到对照组。共有 1152 人被纳入修改后的意向治疗分析,其中 589 人(51-1%)被纳入对照组,563 人(48-9%)被纳入干预组。在修改后的意向治疗人群中,干预组首次调整抗生素的中位时间为20-4小时(95% CI 18-0-20-4),对照组为25-8小时(22-0-28-7)(P=0-076)。干预组抗生素升级的中位时间为13-8小时(9-2-19-0),对照组为24-1小时(19-5-29-6)(p=0-0022)。干预组针对革兰氏阳性菌使用抗生素的中位时间为10-3小时(6-2-30-9),对照组为24-6小时(19-5-37-2)(p=0-044);干预组针对革兰氏阴性菌使用抗生素的中位时间为17-3小时(10-8-23-3),对照组为27-2小时(21-3-33-9)(p=0-010)。各组抗生素降级的中位时间没有差异(p=0-37)。干预组针对革兰氏阳性菌首次降级使用抗生素的中位时间为20-7小时(17-8-24-0),对照组为27-8小时(22-9-33-0)(p=0-015);针对革兰氏阴性菌首次降级使用抗生素的中位时间组间无差异(p=0-46):临床使用 BioFire FilmArray 肺炎检测板可能会加快抗生素升级(包括针对革兰氏阴性菌或革兰氏阳性菌)的速度,并加快针对革兰氏阳性菌的抗生素降级速度。关于抗菌药降级问题,还需要进行更多的研究,尤其是在下呼吸道感染患者中使用快速诊断仪,使用革兰氏阴性菌谱广的抗生素时。
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引用次数: 0
Viral concentrations in unpasteurised milk from avian influenza-infected cattle. 受禽流感感染的牛的未消毒牛奶中的病毒浓度。
IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2024-10-15 DOI: 10.1016/j.lanmic.2024.101009
Amir Ghaemi
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引用次数: 0
Intersection of artificial intelligence, microbes, and bone and joint infections: a new frontier for improving management outcomes. 人工智能、微生物与骨关节感染的交叉:改善管理成果的新领域。
IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2024-10-15 DOI: 10.1016/j.lanmic.2024.101008
Mohamed A Imam, Atef Abdelrahman, Adam Zumla, Rizwan Ahmed, Giovanni Satta, Alimuddin Zumla
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引用次数: 0
Development of an all-in-one pan-sarbecovirus ferritin nanoparticle vaccine in humans. 在人体中开发一体化泛沙巴病毒铁蛋白纳米粒子疫苗。
IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2024-10-14 DOI: 10.1016/j.lanmic.2024.100974
Liuying Li, Hao Zhou
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引用次数: 0
Genomic cluster formation among invasive group A streptococcal infections in the USA: a whole-genome sequencing and population-based surveillance study. 美国侵袭性 A 群链球菌感染的基因组集群形成:一项全基因组测序和基于人群的监测研究。
IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2024-10-14 DOI: 10.1016/S2666-5247(24)00169-1
Yuan Li, Joy Rivers, Saundra Mathis, Zhongya Li, Sopio Chochua, Benjamin J Metcalf, Bernard Beall, Lesley McGee
<p><strong>Background: </strong>Clusters of invasive group A streptococcal (iGAS) infection, linked to genomically closely related group A streptococcal (GAS) isolates (referred to as genomic clusters), pose public health threats, and are increasingly identified through whole-genome sequencing (WGS) analysis. In this study, we aimed to assess the risk of genomic cluster formation among iGAS cases not already part of existing genomic clusters.</p><p><strong>Methods: </strong>In this WGS and population-based surveillance study, we analysed iGAS case isolates from the Active Bacterial Core surveillance (ABCs), which is part of the US Centers for Disease Control and Prevention's Emerging Infections Program, in ten US states from Jan 1, 2015, to Dec 31, 2019. We included all residents in ABCs sites with iGAS infections meeting the case definition and excluded non-conforming GAS infections and cases with whole-genome assemblies of the isolate containing fewer than 1·5 million total bases or more than 150 contigs. For iGAS cases we collected basic demographics, underlying conditions, and risk factors for infection from medical records, and for isolates we included emm types, antimicrobial resistance, and presence of virulence-related genes. Two iGAS cases were defined as genomically clustered if their isolates differed by three or less single-nucleotide variants. An iGAS case not clustered with any previous cases at the time of detection, with a minimum trace-back time of 1 year, was defined as being at risk of cluster formation. We monitored each iGAS case at risk for a minimum of 1 year to identify any cluster formation event, defined as the detection of a subsequent iGAS case clustered with the case at risk. We used the Kaplan-Meier method to estimate the cumulative incidence of cluster formation events over time. We used Cox regression to assess associations between features of cases at risk upon detection and subsequent cluster formation. We developed a random survival forest machine-learning model based on a derivation cohort (random selection of 50% of cases at risk) to predict cluster formation risk. This model was validated using a validation cohort consisting of the remaining 50% of cases at risk.</p><p><strong>Findings: </strong>We identified 2764 iGAS cases at risk from 2016 to 2018, of which 656 (24%) formed genomic clusters by the end of 2019. Overall, the cumulative incidence of cluster formation was 0·057 (95% CI 0·048-0·066) at 30 days after detection, 0·12 (0·11-0·13) at 90 days after detection, and 0·16 (0·15-0·18) at 180 days after detection. A higher risk of cluster formation was associated with emm type (adjusted hazard ratio as compared with emm89 was 2·37 [95% CI 1·71-3·30] for emm1, 2·72 [1·82-4·06] for emm3, 2·28 [1·49-3·51] for emm6, 1·47 [1·05-2·06] for emm12, and 2·21 [1·38-3·56] for emm92), homelessness (1·42 [1·01-1·99]), injection drug use (2·08 [1·59-2·72]), residence in a long-term care facility (1·78 [1·29-2·45]), and
背景:侵袭性 A 组链球菌(iGAS)感染集群与基因组学上密切相关的 A 组链球菌(GAS)分离株相关联(称为基因组集群),对公共卫生构成威胁,并且越来越多地通过全基因组测序(WGS)分析进行鉴定。在本研究中,我们旨在评估尚未加入现有基因组集群的 iGAS 病例形成基因组集群的风险:在这项基于 WGS 和人群监测的研究中,我们分析了 2015 年 1 月 1 日至 2019 年 12 月 31 日期间美国十个州主动细菌核心监测(ABCs)中的 iGAS 病例分离物,该监测是美国疾病控制与预防中心新发感染项目的一部分。我们纳入了ABCs站点中所有符合病例定义的iGAS感染居民,并排除了不符合GAS感染和分离物全基因组组装总碱基少于100-500万或等位基因超过150个的病例。对于 iGAS 病例,我们从医疗记录中收集了基本的人口统计学特征、基础病症和感染风险因素;对于分离物,我们收集了 emm 类型、抗菌药耐药性和毒力相关基因的存在情况。如果两个 iGAS 病例的分离物存在三个或更少的单核苷酸变异,则将其定义为基因组集群病例。如果一个 iGAS 病例在检测时未与之前的任何病例发生聚类,且追溯时间至少为 1 年,则被定义为有形成聚类的风险。我们对每个有风险的 iGAS 病例进行了至少 1 年的监测,以确定是否有集群形成事件,集群形成事件的定义是随后检测到的 iGAS 病例与有风险的病例聚集在一起。我们使用 Kaplan-Meier 法估算了随着时间推移集群形成事件的累积发生率。我们使用 Cox 回归法来评估高危病例检测特征与后续集群形成之间的关联。我们在衍生队列(随机选择 50%的高危病例)的基础上开发了一个随机生存森林机器学习模型,用于预测集群形成风险。该模型通过由剩余 50% 高危病例组成的验证队列进行了验证:从2016年到2018年,我们共发现了2764例iGAS高危病例,其中656例(24%)在2019年底前形成了基因组集群。总体而言,集群形成的累积发生率在检测后30天为0-057(95% CI 0-048-066),检测后90天为0-12(0-11-0-13),检测后180天为0-16(0-15-0-18)。集群形成的较高风险与 emm 类型有关(与 emm89 相比,emm1 的调整危险比为 2-37 [95% CI 1-71-3-30],emm3 为 2-72 [1-82-4-06],emm6 为 2-28 [1-49-3-51],emm12 为 1-47 [1-05-2-06],emm3 为 2-21 [1-38-3-06])、在多变量 Cox 回归分析中,还包括无家可归者(1-42 [1-01-1-99])、注射吸毒(2-08 [1-59-2-72])、居住在长期护理机构(1-78 [1-29-2-45])和秋冬季节(1-34 [1-14-1-57])。机器学习模型将验证队列(n=1382)分为低风险组(n=370)、中度风险组(n=738)和高风险组(n=274)。低风险组的 90 天集群形成风险为 0-03(95% CI 0-01-0-05),中度风险组为 0-10(0-08-0-13),高度风险组为 0-21(0-17-0-25)。这些结果与衍生队列的交叉验证结果一致:利用基于人群的监测数据,我们发现 iGAS 病例的病原体、宿主和环境因素与后续基因组集群形成的可能性增加有关。预测模型可以持续识别高风险群体,为预防策略提供依据,但未来还需要改进模型,纳入宿主接触模式和对 GAS 的免疫力等其他潜在风险因素,以提高其预测性能:美国疾病控制和预防中心。
{"title":"Genomic cluster formation among invasive group A streptococcal infections in the USA: a whole-genome sequencing and population-based surveillance study.","authors":"Yuan Li, Joy Rivers, Saundra Mathis, Zhongya Li, Sopio Chochua, Benjamin J Metcalf, Bernard Beall, Lesley McGee","doi":"10.1016/S2666-5247(24)00169-1","DOIUrl":"https://doi.org/10.1016/S2666-5247(24)00169-1","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Clusters of invasive group A streptococcal (iGAS) infection, linked to genomically closely related group A streptococcal (GAS) isolates (referred to as genomic clusters), pose public health threats, and are increasingly identified through whole-genome sequencing (WGS) analysis. In this study, we aimed to assess the risk of genomic cluster formation among iGAS cases not already part of existing genomic clusters.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;In this WGS and population-based surveillance study, we analysed iGAS case isolates from the Active Bacterial Core surveillance (ABCs), which is part of the US Centers for Disease Control and Prevention's Emerging Infections Program, in ten US states from Jan 1, 2015, to Dec 31, 2019. We included all residents in ABCs sites with iGAS infections meeting the case definition and excluded non-conforming GAS infections and cases with whole-genome assemblies of the isolate containing fewer than 1·5 million total bases or more than 150 contigs. For iGAS cases we collected basic demographics, underlying conditions, and risk factors for infection from medical records, and for isolates we included emm types, antimicrobial resistance, and presence of virulence-related genes. Two iGAS cases were defined as genomically clustered if their isolates differed by three or less single-nucleotide variants. An iGAS case not clustered with any previous cases at the time of detection, with a minimum trace-back time of 1 year, was defined as being at risk of cluster formation. We monitored each iGAS case at risk for a minimum of 1 year to identify any cluster formation event, defined as the detection of a subsequent iGAS case clustered with the case at risk. We used the Kaplan-Meier method to estimate the cumulative incidence of cluster formation events over time. We used Cox regression to assess associations between features of cases at risk upon detection and subsequent cluster formation. We developed a random survival forest machine-learning model based on a derivation cohort (random selection of 50% of cases at risk) to predict cluster formation risk. This model was validated using a validation cohort consisting of the remaining 50% of cases at risk.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Findings: &lt;/strong&gt;We identified 2764 iGAS cases at risk from 2016 to 2018, of which 656 (24%) formed genomic clusters by the end of 2019. Overall, the cumulative incidence of cluster formation was 0·057 (95% CI 0·048-0·066) at 30 days after detection, 0·12 (0·11-0·13) at 90 days after detection, and 0·16 (0·15-0·18) at 180 days after detection. A higher risk of cluster formation was associated with emm type (adjusted hazard ratio as compared with emm89 was 2·37 [95% CI 1·71-3·30] for emm1, 2·72 [1·82-4·06] for emm3, 2·28 [1·49-3·51] for emm6, 1·47 [1·05-2·06] for emm12, and 2·21 [1·38-3·56] for emm92), homelessness (1·42 [1·01-1·99]), injection drug use (2·08 [1·59-2·72]), residence in a long-term care facility (1·78 [1·29-2·45]), and ","PeriodicalId":46633,"journal":{"name":"Lancet Microbe","volume":" ","pages":"100927"},"PeriodicalIF":20.9,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142477425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Epidemiology of periportal fibrosis and relevance of current Schistosoma mansoni infection within the context of repeated mass drug administration in rural Uganda: a population-based, cross-sectional study. 在乌干达农村地区反复大规模用药的背景下,门静脉周围纤维化的流行病学和当前曼氏血吸虫感染的相关性:一项基于人群的横断面研究。
IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2024-10-14 DOI: 10.1016/j.lanmic.2024.07.007
Seun Anjorin, Betty Nabatte, Simon Mpooya, Benjamin Tinkitina, Christopher K Opio, Narcis B Kabatereine, Goylette F Chami

Background: WHO guidelines for schistosomiasis-related morbidity control and elimination rely on current infection as a proxy indicator for morbidity. We evaluated these guidelines within the context of repeated mass drug administration and periportal fibrosis attributable to chronic intestinal schistosomiasis.

Methods: We examined 1442 households randomly sampled from 38 villages in Buliisa, Pakwach, and Mayuge districts of Uganda within the SchistoTrack cohort. Periportal fibrosis was diagnosed in 2834 individuals aged 5-90 years using ultrasound and image patterns C-F from the Niamey protocol. Schistosoma mansoni status and intensity were diagnosed by Kato-Katz microscopy and point-of-care circulating cathodic antigen tests. Schistosome infection, co-infections, and comorbidities were examined as exposures for periportal fibrosis. Multivariable logistic regressions were run with SEs clustered by household.

Findings: Between Jan 6 and Feb 3, 2022, 342 (12·1%) of 2834 participants were diagnosed with periportal fibrosis. By Kato-Katz microscopy, 1229 (43·4%) of 2834 participants were infected. 1863 (65·7%) of 2834 participants had trace positive point-of-care circulating cathodic antigen tests, which was higher than prevalence by Kato-Katz microscopy, and 1158 (40·9%) of 2834 participants had trace negative point-of-care circulating cathodic antigen tests. Individual schistosome status, intensity, and prevalence of heavy intensity infections of less than 1% and less than 5% were not correlated with periportal fibrosis likelihood or village prevalence. Periportal fibrosis likelihood linearly increased with age from age 5 years to age 25 years, non-linearly increased from age 26 years to age 45 years, attenuated or remained unchanged from age 46 years to age 60 years, and steadily decreased past 60 years of age. History of liver diseases, HIV, and ultrasound-detected chronic hepatitis or early cirrhosis-like disease were associated with more than two-times increased periportal fibrosis likelihood.

Interpretation: WHO guidelines reliant on current schistosome status and intensity are uninformative for identifying probable cases or communities with periportal fibrosis. History of HIV and underlying chronic hepatitis or early cirrhosis-like disease are risk factors that could be investigated for periportal fibrosis surveillance and management.

Funding: NDPH Pump Priming Fund, Wellcome Trust, John Fell Fund, Robertson Foundation, and UK Research and Innovation Engineering and Physical Sciences Research Council.

背景:世卫组织控制和消除血吸虫病相关发病率的指导方针将当前感染作为发病率的替代指标。我们根据慢性肠血吸虫病导致的反复大量用药和肝包膜纤维化情况对这些指导方针进行了评估:我们在血吸虫病追踪队列中对从乌干达布里萨、帕克瓦赫和马尤格地区的 38 个村庄随机抽样的 1442 个家庭进行了调查。使用尼亚美方案中的超声波和图像模式 C-F,对 2834 名 5-90 岁的人进行了肝包膜纤维化诊断。通过卡托-卡茨显微镜和护理点循环阴性抗原检测诊断曼氏血吸虫的状态和强度。将血吸虫感染、合并感染和并发症作为门静脉周围纤维化的暴露因素进行了研究。以家庭为单位对SE进行了多变量逻辑回归:2022年1月6日至2月3日期间,2834名参与者中有342人(12-1%)被诊断出患有门脉周围纤维化。通过卡托-卡茨显微镜检查,2834 名参与者中有 1229 人(43-4%)受到感染。在 2834 名参与者中,有 1863 人(65-7%)在护理点循环阴性抗原检测中呈痕量阳性,高于卡托-卡茨显微镜检测的流行率;在 2834 名参与者中,有 1158 人(40-9%)在护理点循环阴性抗原检测中呈痕量阴性。个人血吸虫状态、感染强度以及感染强度低于1%和低于5%的重度感染率与肾包膜纤维化可能性或村庄感染率无关。从 5 岁到 25 岁,肝包膜纤维化可能性随年龄呈线性增长,从 26 岁到 45 岁呈非线性增长,从 46 岁到 60 岁呈减弱或保持不变,过了 60 岁则稳步下降。肝病史、艾滋病毒、超声波检测出的慢性肝炎或早期肝硬化样疾病与肝周膜纤维化可能性增加两倍以上有关:世卫组织的指南依赖于当前的血吸虫状态和强度,对于确定可能的病例或门静脉周围纤维化的社区没有参考价值。艾滋病病毒感染史和潜在的慢性肝炎或早期肝硬化样疾病是可用于肝门静脉周围纤维化监测和管理的风险因素:NDPH 泵引水基金、惠康基金会、约翰-费尔基金、罗伯逊基金会和英国研究与创新工程与物理科学研究委员会。
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引用次数: 0
Pandemic risk characterisation of zoonotic influenza A viruses using the Tool for Influenza Pandemic Risk Assessment (TIPRA). 利用流感大流行风险评估工具(TIPRA)确定人畜共患病甲型流感病毒的大流行风险特征。
IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2024-10-10 DOI: 10.1016/j.lanmic.2024.100973
Reina Yamaji, Wenqing Zhang, Akiko Kamata, Cornelia Adlhoch, David E Swayne, Dmitriy Pereyaslov, Dayan Wang, Gabriele Neumann, Gounalan Pavade, Ian G Barr, Malik Peiris, Richard J Webby, Ron A M Fouchier, Sophie Von Dobschütz, Thomas Fabrizio, Yuelong Shu, Magdi Samaan

A systematic risk assessment approach is essential for evaluating the relative risk of influenza A viruses (IAVs) with pandemic potential. To achieve this, the Tool for Influenza Pandemic Risk Assessment (TIPRA) was developed under the Global Influenza Programme of WHO. Since its release in 2016 and update in 2020, TIPRA has been used to assess the pandemic risk of 11 zoonotic IAVs across ten evaluation rounds. Notably, A(H7N9), A(H9N2), and A(H5) clade 2.3.4.4 viruses were re-evaluated owing to changes in epidemiological characteristics or virus properties. A(H7N9) viruses had the highest relative risk at the time of assessment, highlighting the importance of continuous monitoring and reassessment as changes in epidemiological trends within animal and human populations can alter risk profiles. The knowledge gaps identified throughout the ten risk assessments should help to guide the efficient use of resources for future research, including surveillance. The TIPRA tool reflects the One Health approach and has proven crucial for closely monitoring virus dynamics in both human and non-human populations to enhance preparedness for potential IAV pandemics.

系统的风险评估方法对于评估具有大流行潜力的甲型流感病毒的相对风险至关重要。为此,世卫组织全球流感计划开发了流感大流行风险评估工具(TIPRA)。自 2016 年发布和 2020 年更新以来,TIPRA 已在十轮评估中用于评估 11 种人畜共患病 IAV 的大流行风险。值得注意的是,A(H7N9)、A(H9N2)和 A(H5) 2.3.4.4 支系病毒因流行病学特征或病毒特性发生变化而被重新评估。在评估时,A(H7N9)病毒的相对风险最高,这凸显了持续监测和重新评估的重要性,因为动物和人类群体中流行病趋势的变化会改变风险概况。在十项风险评估中发现的知识差距应有助于指导今后研究(包括监测)资源的有效利用。TIPRA 工具反映了 "一体健康 "方法,并已证明对密切监测人类和非人类群体中的病毒动态至关重要,有助于加强对潜在 IAV 大流行的防备。
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引用次数: 0
Wastewater monitoring of human and avian influenza A viruses in Northern Ireland: a genomic surveillance study. 北爱尔兰人和禽类甲型流感病毒的废水监测:基因组监测研究。
IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2024-10-09 DOI: 10.1016/S2666-5247(24)00175-7
Andrew J Lee, Stephen Carson, Marina I Reyne, Andrew Marshall, Daniel Moody, Danielle M Allen, Pearce Allingham, Ashley Levickas, Arthur Fitzgerald, Stephen H Bell, Jonathan Lock, Jonathon D Coey, Cormac McSparron, Behnam F Nejad, Evan P Troendle, David A Simpson, David G Courtney, Gisli G Einarsson, James P McKenna, Derek J Fairley, Tanya Curran, Jennifer M McKinley, Deirdre F Gilpin, Ken Lemon, John W McGrath, Connor G G Bamford

Background: Influenza A viruses (IAVs) are significant pathogens of humans and other animals. Although endemic in humans and birds, novel IAV strains can emerge, jump species, and cause epidemics, like the latest variant of H5N1. Wastewater-based epidemiology (WBE) has been shown capable of detecting human IAVs. We aimed to assess whether whole-genome sequencing (WGS) of IAVs from wastewater is possible and can be used to discriminate between circulating strains of human and any non-human IAVs, such as those of avian origin.

Methods: Using a pan-IAV RT-quantitative PCR assay, six wastewater treatment works (WWTWs) across Northern Ireland were screened from Aug 1 to Dec 5, 2022. A nanopore WGS approach was used to sequence RT-qPCR-positive samples. Phylogenetic analysis of sequences relative to currently circulating human and non-human IAVs was performed. For comparative purposes, clinical data (PCR test results) were supplied by The Regional Virus Laboratory, Belfast Health and Social Care Trust (Belfast, Northern Ireland, UK).

Findings: We detected a dynamic IAV signal in wastewater from Sept 5, 2022, onwards across Northern Ireland, which did not show a clear positive relationship with the clinical data obtained for the region. Meta (mixed strain) whole-genome sequences were generated from wastewater samples displaying homology to only human and avian IAV strains. The relative proportion of IAV reads of human versus avian origin differed across time and sample site. A diversity in subtypes and lineages was detected (eg, H1N1, H3N2, and several avian). Avian segment 8 related to those found in recent H5N1 clade 2.3.4.4b was identified.

Interpretation: WBE affords a means to monitor circulating human and avian IAV strains and provide crucial genetic information. As such, WBE can provide rapid, cost-effective, year-round One Health surveillance to help control IAV epidemic and pandemic-related threats. However, optimisation of WBE protocols are necessary to ensure observed wastewater signals not only correlate with clinical case data, but yield information on the wider environmental pan-influenz-ome.

Funding: Department of Health for Northern Ireland.

背景:甲型流感病毒(IAV)是人类和其他动物的重要病原体。虽然新型 IAV 毒株在人类和鸟类中流行,但它们也会出现、跳跃物种并引起流行,例如最新的 H5N1 变种。基于废水的流行病学(WBE)已被证明能够检测人类 IAV。我们的目的是评估对废水中的 IAVs 进行全基因组测序(WGS)是否可行,是否可用于区分人类和任何非人类 IAVs(如禽源 IAVs)的循环菌株:方法:2022 年 8 月 1 日至 12 月 5 日,使用泛 IAV RT 定量 PCR 检测法,对北爱尔兰的六个污水处理厂(WWTW)进行了筛查。采用纳米孔 WGS 方法对 RT-qPCR 阳性样本进行测序。对与目前流行的人类和非人类 IAV 相关的序列进行了系统发育分析。为便于比较,贝尔法斯特卫生与社会保健信托基金(英国北爱尔兰贝尔法斯特)区域病毒实验室提供了临床数据(PCR 检测结果):我们从 2022 年 9 月 5 日起在北爱尔兰各地的废水中检测到了动态的 IAV 信号,这与该地区获得的临床数据没有明显的正相关关系。从废水样本中生成的元(混合菌株)全基因组序列仅显示出与人类和禽类 IAV 菌株的同源性。在不同时间和不同样本地点,人源与禽源 IAV 读数的相对比例有所不同。检测到了亚型和系谱的多样性(如 H1N1、H3N2 和几种禽类)。发现了与最近的 H5N1 支系 2.3.4.4b 中发现的禽类第 8 亚型相关的亚型:解释:WBE 提供了一种监测循环中的人类和禽类 IAV 株系的方法,并提供了重要的基因信息。因此,WBE 可以提供快速、经济、全年的 "统一健康 "监测,帮助控制 IAV 流行和大流行相关的威胁。然而,有必要对 WBE 方案进行优化,以确保观察到的废水信号不仅与临床病例数据相关,而且还能提供更广泛的泛流感环境信息:北爱尔兰卫生部。
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引用次数: 0
Implementing a national programme of pathogen genomics for public health: the Australian Pathogen Genomics Program (AusPathoGen). 实施国家公共卫生病原体基因组计划:澳大利亚病原体基因组计划(AusPathoGen)。
IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2024-10-07 DOI: 10.1016/j.lanmic.2024.100969
Jessica R Webb, Patiyan Andersson, Eby Sim, Alireza Zahedi, Angela Donald, Tuyet Hoang, Anne E Watt, Jessica E Agius, Celeste M Donato, Max L Cummins, Tehzeeb Zulfiqar, Son Nghiem, Chantel Lin, Dimitrios Menouhos, Lex E X Leong, Rob Baird, Karina Kennedy, Louise Cooley, David Speers, Chuan Kok Lim, Joep de Ligt, Angeline Ferdinand, Katie Glass, Martyn D Kirk, Steven P Djordjevic, Clare Sloggett, Kristy Horan, Torsten Seemann, Vitali Sintchenko, Amy V Jennison, Benjamin P Howden

Delivering large-scale routine pathogen genomics surveillance for public health is of considerable interest, although translational research models that promote national-level implementation are not well defined. We describe the development and deployment of the Australian Pathogen Genomics Program (AusPathoGen), a comprehensive national partnership between academia, public health laboratories, and public health agencies that commenced in January, 2021. Successfully establishing and delivering a national programme requires inclusive and transparent collaboration between stakeholders, defined and clear focus on public health priorities, and support for strengthening national genomics capacity. Major enablers for delivering such a programme include technical solutions for data integration and analysis, such as the genomics surveillance platform AusTrakka, standard bioinformatic analysis methods, and national ethics and data sharing agreements that promote nationally integrated surveillance systems. Training of public health officials to interpret and act on genomic data is crucial, and evaluation and cost-effectiveness programmes will provide a benchmark and evidence for sustainable investment in genomics nationally and globally.

为公共卫生提供大规模的常规病原体基因组学监测引起了人们的极大兴趣,尽管促进国家级实施的转化研究模式还没有得到很好的界定。我们介绍了澳大利亚病原体基因组计划(AusPathoGen)的开发和部署情况,该计划是学术界、公共卫生实验室和公共卫生机构之间的全面国家合作项目,于 2021 年 1 月启动。要成功建立和实施一项国家计划,需要利益相关者之间开展包容、透明的合作,明确界定公共卫生优先事项,并支持加强国家基因组学能力。实施这一计划的主要推动因素包括数据整合与分析的技术解决方案,如基因组学监测平台 AusTrakka、标准生物信息分析方法,以及促进国家整合监测系统的国家伦理和数据共享协议。对公共卫生官员进行基因组数据解读和行动方面的培训至关重要,而评估和成本效益计划将为国家和全球在基因组学方面的可持续投资提供基准和证据。
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引用次数: 0
Mpox genomics in outbreak control: challenges and limitations. 疫情控制中的 Mpox 基因组学:挑战与局限。
IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2024-10-07 DOI: 10.1016/j.lanmic.2024.100999
Kathryn Edenborough, Ammar Aziz, Nicola Sexton-Oates, Ivana Savic, Eike Steinig, Brendan Quinn, Mihaela Ivan, Alicia Arnott, Leon Caly, Chuan Kok Lim
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引用次数: 0
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Lancet Microbe
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