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Africa launches plan to eliminate cholera by 2030. 非洲启动到2030年消除霍乱的计划。
IF 20.4 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2025-11-07 DOI: 10.1016/j.lanmic.2025.101284
Munyaradzi Makoni
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引用次数: 0
Health security at genomic artificial intelligence-antimicrobial resistance frontiers in low-income countries. 基因组人工智能的卫生安全——低收入国家抗菌素耐药性前沿。
IF 20.4 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2025-11-07 DOI: 10.1016/j.lanmic.2025.101282
Dickson Aruhomukama, Dathan M Byonanebye, Francis Kakooza
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引用次数: 0
Epidemic potential of SFTSV: increasing evidence for non-vector-borne transmission. SFTSV的流行潜力:越来越多的证据表明非媒介传播。
IF 20.4 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2025-11-05 DOI: 10.1016/j.lanmic.2025.101271
Wen Zheng, Hong Zhou, Michael J Carr, Weifeng Shi
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引用次数: 0
Addressing methodological bias in phageome research to clarify bacteriophage diversity. 解决噬菌体研究中的方法学偏差,以澄清噬菌体多样性。
IF 20.4 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2025-11-05 DOI: 10.1016/j.lanmic.2025.101285
Johanna Mora-Domínguez, William Calero-Cáceres
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引用次数: 0
USA300 North American epidemic meticillin-resistant Staphylococcus aureus in South America: new pathogenicity island. USA300南美流行的耐甲氧西林金黄色葡萄球菌:新的致病性岛。
IF 20.4 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2025-11-02 DOI: 10.1016/j.lanmic.2025.101276
Gregory Melocco, Karine Dantas, Herrison Fontana, Caroline L Martini, Elder Sano, Felipe Vasquez-Ponce, Johana Becerra, Bruna Fuga, Fernanda Esposito, Mateus R Ribas, Alessandro C O Silveira, Nilton Lincopan
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引用次数: 0
Clostridioides difficile should be considered a bacterial priority pathogen 艰难梭菌应被认为是一种优先的细菌病原体。
IF 20.4 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2025-11-01 DOI: 10.1016/j.lanmic.2025.101184
Wiep Klaas Smits , Kevin W Garey , Thomas V Riley , Yiping W Han , Vincent B Young , John Heritage , Christian John Lillis , Dena Lyras , Maja Rupnik , Stuart Johnson
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引用次数: 0
Import of multidrug-resistant Vibrio cholerae from Ethiopia to Germany and the UK 从埃塞俄比亚进口耐多药霍乱弧菌到德国和英国。
IF 20.4 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2025-11-01 DOI: 10.1016/j.lanmic.2025.101179
Sandra Appelt , Satheesh Nair , Clare R Barker , Claire Jenkins , Jacob Gatz , Anna-Maria Rohleder , Holger C Scholz , Susann Dupke
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引用次数: 0
Zoonotic infections due to avian Chlamydia abortus: what are we missing? 由禽流产衣原体引起的人畜共患感染:我们错过了什么?
IF 20.4 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2025-11-01 DOI: 10.1016/j.lanmic.2025.101197
Prof Nicole Borel DVM , David Longbottom PhD , Prof Gilbert Greub MD, PhD , Sarah Albini DVM , Prof Daisy Vanrompay DVM , Karine Laroucau PhD
Chlamydia abortus is an obligate intracellular bacterium primarily affecting ruminants and causing reproductive failures in sheep and goats. As a recognised zoonotic pathogen, C abortus can cause obstetric and respiratory infections in humans, with severe consequences in pregnant women and immunocompromised individuals. Previous studies have identified novel C abortus strains in avian species, closely related to the zoonotic Chlamydia psittaci, with some strains associated with cases of human pneumonia. In this Personal View, we review the evolving taxonomy of C abortus in light of these novel avian strains, propose subspecies distinctions, and describe the different zoonotic risks associated with both avian and ruminant strains. Challenges in diagnostics, host preference, and case detection are discussed, emphasising the need for a One Health approach to fully understand and mitigate these risks. With increasing reports of human C abortus infections, precise strain classification and differentiation between avian and ruminant subspecies, along with targeted surveillance, are essential to limit their zoonotic transmission.
流产衣原体是一种专性细胞内细菌,主要影响反刍动物,导致绵羊和山羊繁殖失败。作为一种公认的人畜共患病原体,流产C可引起人类产科和呼吸道感染,对孕妇和免疫功能低下的个体造成严重后果。先前的研究已经在禽类物种中发现了新的流产C菌株,与人畜共患鹦鹉热衣原体密切相关,其中一些菌株与人类肺炎病例有关。在本个人观点中,我们根据这些新的禽毒株回顾了abortus的进化分类,提出了亚种区分,并描述了禽毒株和反刍毒株的不同人畜共患风险。讨论了诊断、宿主偏好和病例检测方面的挑战,强调需要采用“同一个健康”方法来充分了解和减轻这些风险。随着人类流产弧菌感染报告的增加,禽和反刍亚种之间的精确毒株分类和区分以及有针对性的监测对于限制其人畜共患病传播至关重要。
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引用次数: 0
Estimating the association of antimicrobial resistance genes with minimum inhibitory concentration in Escherichia coli: an observational study 估计抗菌素耐药基因与大肠杆菌最低抑菌浓度的关系:一项观察性研究。
IF 20.4 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2025-11-01 DOI: 10.1016/j.lanmic.2025.101183
Samuel Lipworth DPhil , Kevin Chau DPhil , Sarah Oakley MSc , Lucinda Barrett FRCPath , Prof Derrick Crook FRCP , Prof Tim Peto FRCP , Prof A Sarah Walker PhD , Prof Nicole Stoesser DPhil

Background

Surveillance and prediction of antibiotic resistance in Escherichia coli relies on curated databases of genes and mutations. We aimed to quantify the effect of acquiring specific genetic elements on minimum inhibitory concentrations (MICs) for particular antibiotic–species combinations, addressing the current scarcity of such data in existing databases.

Methods

For this observational study, we evaluated a collection of E coli isolates with linked whole-genome sequencing and MIC data, originating from human urinary or bloodstream infections obtained from the Oxford University Hospitals National Health Service Foundation Trust in Oxfordshire, UK. We used multivariable interval regression models to estimate the change in MIC (with 95% CIs) for specific antibiotics associated with the acquisition of antibiotic resistance genes and associated mutations in the National Center for Biotechnology Information AMRFinder database, with and without an adjustment for population structure. We then tested the ability of these models to predict MIC and binary resistance or susceptibility using leave-one-out cross-validation.

Findings

We evaluated 2875 E coli isolates obtained during 2013–2018 and 2020. Although most ARGs and resistance mutations (89 [80%] of 111) were associated with an increased MIC, a much smaller number (27 [24%] of 111) was found to be putatively independently resistance-conferring (ie, associated with an MIC above the European Committee on Antimicrobial Susceptibility Testing breakpoint) when acquired in isolation. We found evidence of differential effects of acquired ARGs and resistance mutations between different generations of cephalosporin antibiotics and showed that sub-breakpoint variation in MIC can be linked to genetic mechanisms of resistance. 20 697 (83·3%; range 52·9–97·7 across all antibiotics) of 24 858 MICs were correctly exactly predicted and 23 677 (95·2%; 87·3–97·7) of 24 858 MICs were predicted to within one doubling dilution.

Interpretation

Quantitative estimates of the independent effect of the acquisition of ARGs on MIC add to the interpretability and utility of existing databases. Compared with approaches using machine learning models, the use of these estimates yields similar or better performance in the prediction of antibiotic resistance phenotype with more readily interpretable results. The methods outlined here could be readily applied to other antibiotic–pathogen combinations.

Funding

The National Institute for Health and Care Research (NIHR) and the Medical Research Council (MRC).
背景:大肠杆菌抗生素耐药性的监测和预测依赖于精心策划的基因和突变数据库。我们的目标是量化获得特定遗传元件对特定抗生素-物种组合的最低抑制浓度(mic)的影响,解决现有数据库中此类数据的当前稀缺性。方法:在这项观察性研究中,我们评估了一组大肠杆菌分离物,这些分离物具有全基因组测序和MIC数据,来自英国牛津郡牛津大学医院国家卫生服务基金会信托基金的人类尿液或血液感染。我们使用多变量区间回归模型来估计特定抗生素的MIC (95% ci)变化与获得抗生素耐药基因和国家生物技术信息中心AMRFinder数据库中的相关突变相关,无论是否调整种群结构。然后,我们使用留一交叉验证测试了这些模型预测MIC和二元抗性或敏感性的能力。研究结果:我们评估了2013-2018年和2020年获得的2875株大肠杆菌。尽管大多数ARGs和耐药突变(111例中有89例[80%])与MIC升高有关,但发现孤立获得时推定独立产生耐药性的数量要少得多(111例中有27例[24%])(即与MIC高于欧洲抗微生物药物敏感性试验委员会断点有关)。我们发现了获得性ARGs和耐药突变在不同代头孢菌素抗生素之间的差异效应的证据,并表明MIC的亚断点变异可能与耐药的遗传机制有关。24 858种mic中有20697种(83.3%,所有抗生素的稀释范围为52.9 ~ 97.7)被准确预测,23 677种(95.2%,83.3 ~ 97.7)被预测在1倍稀释范围内。解释:获取ARGs对MIC的独立影响的定量估计增加了现有数据库的可解释性和实用性。与使用机器学习模型的方法相比,使用这些估计在预测抗生素耐药性表型方面产生相似或更好的性能,并且结果更易于解释。本文概述的方法可以很容易地应用于其他抗生素-病原体组合。资助:国家卫生和保健研究所(NIHR)和医学研究委员会(MRC)。
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引用次数: 0
A viral clonality evenness score to predict progression to adult T-cell leukaemia in asymptomatic carriers of human T-lymphotropic virus type 1 in Japan: a retrospective longitudinal cohort study 病毒克隆均匀度评分预测日本无症状人类t淋巴细胞性病毒1型携带者进展为成人t细胞白血病:一项回顾性纵向队列研究
IF 20.4 1区 生物学 Q1 INFECTIOUS DISEASES Pub Date : 2025-11-01 DOI: 10.1016/j.lanmic.2025.101198
Snehal Dilip Karpe PhD , Maria Artesi PhD , Jérôme Wayet MSc , Keith Durkin PhD , Vincent Hahaut PhD , Prof Kaoru Uchimaru MD , Junya Makiyama MD , Prof Masako Iwanaga MD , Atae Utsunomiya MD , P Martijn Kolijn PhD , Prof Anton W Langerak PhD , Prof Arsène Burny PhD , Ambroise Marçais MD , Prof Olivier Hermine MD , Prof Toshiki Watanabe MD , Prof Michel Georges PhD , Anne Van den Broeke PhD
<div><h3>Background</h3><div>Adult T-cell leukaemia/lymphoma (ATL) is a highly aggressive T-cell malignancy that occurs in approximately 2–7% of individuals with human T-lymphotropic virus type 1 (HTLV-1), after decades of asymptomatic infection. To address the urgent need for predictive biomarkers to identify asymptomatic carriers of HTLV-1 at high risk of progression to ATL, we aimed to evaluate viral clonality sequencing as a potential tool for risk stratification.</div></div><div><h3>Methods</h3><div>This retrospective longitudinal cohort study involved HTLV-1 carriers enrolled in the Joint Study on Predisposing Factors of ATL Development, a nationwide cohort study initiated in Japan in 2002. Participants were selected from this cohort on the basis of their baseline proviral load at the time of enrolment as an asymptomatic carrier, length of follow-up, and clinical outcome. The cohort was subdivided into three subgroups: the first comprising HTLV-1 carriers who developed ATL, the second comprising carriers with high proviral load (≥4%) who did not progress to ATL, and the third comprising carriers with low proviral load (<4%) who did not progress to ATL. DNA extracted from peripheral blood mononuclear cells collected at enrolment and at least one follow-up visit was analysed by HTLV-1 clonality sequencing and the proviral load was quantified. We calculated a viral clonality evenness (VCE) score, based on the Shannon Evenness Index, to quantify the uniformity of the clonal distribution of samples, for which 0 represents a perfectly monoclonal architecture and 1 indicates a completely polyclonal landscape. We then estimated the performance of proviral load thresholds and VCE scoring to classify the risk of progression to ATL using the area under the receiver operating characteristic curve (AUC), the accuracy, and Matthews correlation coefficient. VCEs were compared between participant subgroups with the Wilcoxon rank sum test.</div></div><div><h3>Findings</h3><div>56 participants followed up by JSPFAD between Feb 6, 2003, and July 19, 2022, were included in this study: 17 who progressed to ATL (mean follow-up 8·3 years [SD 4·0]), 18 who had a high proviral load and did not progress to ATL (9·7 years [3·4]), and 21 who had a low proviral load and did not progress to ATL (7·5 years [3·0]). Clonality sequencing of samples from 39 participants who did not progress to ATL revealed hundreds to thousands of HTLV-1 integration sites at both timepoints, corresponding to multiple clones of low and uniform abundance, and these participants had high VCE scores (≥0·694) at baseline. By contrast, most participants (14 of 17) who progressed to ATL had a single predominant clone or two to four predominant clones at both timepoints, and lower VCE scores (<0·694) at baseline than those who did not progress (p<0·0001). AUCs were very similar for proviral load thresholds (91 [95% CI 80–98]) and VCE scoring (91 [78–100]), although when using methods that g
成人t细胞白血病/淋巴瘤(ATL)是一种高度侵袭性的t细胞恶性肿瘤,约2-7%的人嗜t淋巴病毒1型(HTLV-1)患者在数十年无症状感染后发生。为了解决对预测性生物标志物的迫切需求,以识别HTLV-1无症状携带者的高风险进展为ATL,我们旨在评估病毒克隆测序作为风险分层的潜在工具。方法本回顾性纵向队列研究纳入了HTLV-1携带者,他们参加了2002年在日本发起的一项全国性队列研究——ATL发展易感因素联合研究。参与者是根据入组时无症状携带者的基线病毒载量、随访时间和临床结果从该队列中选择的。该队列被细分为三个亚组:第一组包括发展为ATL的HTLV-1携带者,第二组包括未发展为ATL的高原病毒载量(≥4%)携带者,第三组包括未发展为ATL的低原病毒载量(<4%)携带者。通过HTLV-1克隆性测序分析入组时和至少一次随访时收集的外周血单个核细胞的DNA,并定量前病毒载量。我们基于Shannon均匀度指数计算了病毒克隆均匀度(VCE)评分,以量化样本克隆分布的均匀性,其中0表示完美的单克隆结构,1表示完全的多克隆景观。然后,我们使用受试者工作特征曲线(AUC)下的面积、准确度和Matthews相关系数来估计预负荷阈值和VCE评分的性能,以分类进展为ATL的风险。采用Wilcoxon秩和检验比较各参与者亚组间的vce。结果:在2003年2月6日至2022年7月19日期间,56名参与者接受了JSPFAD的随访,其中17名进展为ATL(平均随访8.3年[SD 4.0]), 18名原病毒载量高但未进展为ATL(9.7年[3.4]),21名原病毒载量低但未进展为ATL(7.5年[3.0])。39名未进展为ATL的参与者样本的克隆测序显示,在两个时间点都有数百至数千个HTLV-1整合位点,对应于多个低丰度和均匀丰度的克隆,这些参与者在基线时具有较高的VCE评分(≥0.694)。相比之下,进展到ATL的大多数参与者(17人中有14人)在两个时间点都有一个优势克隆或2到4个优势克隆,基线时的VCE评分(< 0.694)低于未进展的参与者(p< 0.0001)。前病毒负荷阈值(91 [95% CI 80-98])和VCE评分(91[78-100])的auc非常相似,尽管当使用赋予每个个体同等权重的方法时,VCE评分在预测ATL进展方面优于前病毒负荷阈值(准确性:前病毒负荷0.76 [95% CI 0.76 - 0.77], VCE评分1.00[0.99 - 1.00];马修斯相关系数:前病毒负荷0.23 [95% CI 0.19 - 0.24], VCE评分0.91[0.80 - 1.00])。基于VCE评分的预测显示没有假阳性,而使用proviral负荷时为20%,尽管VCE评分产生更多的假阴性(0.3%对0.1%)。在临床实践中实施VCE评分可以为早期先发制人的治疗干预提供信息,专门针对高危HTLV-1患者,旨在防止进展为侵袭性,治疗难治性疾病。进一步的验证,包括独立确认VCE评分在多个人群中的表现及其时间动态特征,将是确定其临床应用和潜在整合到护理途径的关键。资助协会Jules bordt, fnrs - tsamuys, FCC, WALInnov, FLF, jps - kakenhi和CoBiA。
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