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The Lancet. Microbe最新文献

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Mortality from drug-resistant tuberculosis in high-burden countries comparing routine drug susceptibility testing with whole-genome sequencing: a multicentre cohort study 高负担国家耐药结核病死亡率比较常规药敏试验与全基因组测序:一项多中心队列研究
Pub Date : 2021-04-29 DOI: 10.1016/S2666-5247(21)00044-6
Kathrin Zürcher, M. Reichmuth, M. Ballif, Chloé Loiseau, S. Borrell, Miriam, Reinhard, Veronika W Skrivankova, R. Hömke, P. Sander, A. Avihingsanon, A. Abimiku, Olivier Marcy, Jimena Collantes, E. Carter, R. Wilkinson, H. Cox, M. Yotebieng, R. Huebner, L. Fenner, E. Böttger, Sébastien, Gagneux, M. Egger
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引用次数: 11
Novel hypercapsulation RNA thermosensor variants in Neisseria meningitidis and their association with invasive meningococcal disease: a genetic and phenotypic investigation and molecular epidemiological study. 脑膜炎奈瑟菌新型高荚膜RNA热传感器变异及其与侵袭性脑膜炎球菌病的关系:遗传、表型调查和分子流行病学研究
Pub Date : 2020-12-01 DOI: 10.1016/s2666-5247(20)30146-4
J. Karlsson, H. Eichner, C. Andersson, S. Jacobsson, E. Loh
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引用次数: 6
Management of falsepositive rifampicin resistant Xpert MTB/RIF - Authors' reply. 假阳性利福平耐药Xpert MTB/RIF的处理——作者回复。
Pub Date : 2020-10-01 DOI: 10.1016/s2666-5247(20)30125-7
J. S. Ngabonziza, T. Decroo, G. Torrea, Patrick Migambi, A. Van Deun, L. Rigouts, B. D. de Jong
{"title":"Management of falsepositive rifampicin resistant Xpert MTB/RIF - Authors' reply.","authors":"J. S. Ngabonziza, T. Decroo, G. Torrea, Patrick Migambi, A. Van Deun, L. Rigouts, B. D. de Jong","doi":"10.1016/s2666-5247(20)30125-7","DOIUrl":"https://doi.org/10.1016/s2666-5247(20)30125-7","url":null,"abstract":"","PeriodicalId":344281,"journal":{"name":"The Lancet. Microbe","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117593866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bedaquiline and clofazimine: successes and challenges. 贝达喹啉与氯法齐明:成功与挑战。
Pub Date : 2020-08-01 DOI: 10.1016/s2666-5247(20)30097-5
N. Ndjeka, N. Ismail
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引用次数: 6
Discrepancies in Xpert tuberculosis testing. 专家肺结核检测的差异。
Pub Date : 2020-06-01 DOI: 10.1016/s2666-5247(20)30033-1
E. Variava, T. Moloantoa, N. Martinson
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引用次数: 2
Active surveillance of the spread of mcr-1-positive E coli. 主动监测mcr-1阳性大肠杆菌的传播。
Pub Date : 2020-05-01 DOI: 10.1016/s2666-5247(20)30010-0
Shaolin Wang, Jianzhong Shen
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引用次数: 4
Stability of SARS-CoV-2 in different environmental conditions SARS-CoV-2在不同环境条件下的稳定性
Pub Date : 2020-03-18 DOI: 10.1101/2020.03.15.20036673
A. Chin, Julie T S Chu, M. Perera, K. P. Hui, H. Yen, M. Chan, M. Peiris, L. Poon
Stability of SARS-CoV-2 in different environmental conditions.
SARS-CoV-2在不同环境条件下的稳定性
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引用次数: 1571
Molecular surveillance of antimalarial partner drug resistance in sub-Saharan Africa: a spatial-temporal evidence mapping study. 撒哈拉以南非洲抗疟伙伴耐药性的分子监测:时空证据制图研究。
Pub Date : 2020-02-07 DOI: 10.2139/ssrn.3534203
Hanna Y. Ehrlich, Justin Jones, S. Parikh
Background Molecular markers for antimalarial drug resistance can be used to rapidly monitor the emergence and spatial distribution of resistance to artemisinin-based combination therapies (ACTs). Little has been done to analyse molecular surveillance efforts or to assess surveillance coverage. This study aimed to develop an evidence map to characterise the spatial-temporal distribution and sampling methodologies of drug resistance surveillance in sub-Saharan Africa, specifically focusing on markers associated with ACT partner drugs. Methods By use of a systematic search, we identified studies that reported data on the following mutations associated with ACT partner drug resistance: pfmdr1 Asn86Tyr, Tyr184Phe, Asp1246Tyr, and copy number variation and pfcrt Lys76Thr, with sample collection occurring in sub-Saharan Africa between Jan 1, 2004, and Dec 31, 2018, corresponding to the uptake of ACTs. For each identified study, we extracted information on its sampling and laboratory methods, author and publication affiliations, years of sampling and of publication, geographic coordinates of the study sites, and prevalence of the partner drug resistance-associated markers. We used linear models to test whether urbanicity, population density, and endemicity were predictors of drug resistance survey sites and linear regressions to identify associations between the number of resistance surveys within a given country and the at-risk malaria population in 2010, the per-capita GDP in 2010, and the mean amount of funding directed to malaria and to determine trends in marker prevalence over time. For country case studies with three or more datapoints, we assessed global spatial autocorrelation using Moran's I. Findings Our search yielded 254 studies encompassing 492 year-specific and location-specific surveys from 35 malaria-endemic countries, the most complete set of molecular partner drug surveillance data to date. We observed a median time lag of 3·1 years (95% CI 1·0-7·7) from final sample acquisition to publication. 22 (49%) of the 44 countries in the study region conducted, on average, one or fewer studies every 3 years. The locations of surveillance sites were positively associated with urbanicity (p<0·0001), and the abundance of country-level data was associated with reported donor funding in 2004-18 (p=0·0011) and local government funding in 2004-09 (p=0·014). Nearly all molecular markers displayed significant regional trends over time and global spatial autocorrelation in space. For selected countries with more widespread coverage of surveillance data, some markers also displayed spatial heterogeneity. Interpretation In most sub-Saharan countries, molecular data on antimalarial resistance might not be representative of the temporal and geographic heterogeneity of partner drug resistance, and likely do not represent the true spatially dependent distribution of partner drug resistance. Our results highlight several inefficiencies that
背景利用分子标记可快速监测以青蒿素为基础的联合治疗药物耐药性的出现和空间分布。在分析分子监测工作或评估监测覆盖面方面做得很少。这项研究旨在开发一个证据地图,以表征撒哈拉以南非洲地区耐药性监测的时空分布和抽样方法,特别侧重于与ACT伙伴药物相关的标志物。方法通过系统检索,我们确定了报告以下与ACT合作伙伴耐药相关的突变数据的研究:pfmdr1 Asn86Tyr、Tyr184Phe、Asp1246Tyr、拷贝数变异和pfcrt Lys76Thr,样本收集发生在撒哈拉以南非洲地区2004年1月1日至2018年12月31日之间,对应于ACTs的摄入。对于每一项已确定的研究,我们提取了其采样和实验室方法、作者和出版机构、采样和出版年份、研究地点的地理坐标以及伴侣耐药相关标记物的流行情况等信息。我们使用线性模型来检验城市化、人口密度和地方性是否为耐药性调查地点的预测因子,并使用线性回归来确定特定国家内的耐药性调查数量与2010年疟疾高危人口、2010年人均GDP和针对疟疾的平均资金量之间的关联,并确定标志物流行率随时间的趋势。对于具有3个或更多数据点的国家案例研究,我们使用Moran's I.FindingsOur检索了254项研究,其中包括来自35个疟疾流行国家的492项特定年份和特定地点的调查,这是迄今为止最完整的分子伴侣药物监测数据集。我们观察到从最终样本采集到发表的中位滞后时间为3.1年(95% CI为1.0 - 7.7)。在研究区域的44个国家中,22个国家(49%)平均每3年进行一次或更少的研究。监测点的位置与城市化程度呈正相关(p< 0.0001),国家级数据的丰富程度与2004-18年报告的捐助者资助(p= 0.0011)和2004-09年地方政府资助(p= 0.014)相关。在空间上,几乎所有的分子标记都表现出显著的区域变化趋势和全球空间自相关性。对于监测数据覆盖范围更广的选定国家,一些标记也显示出空间异质性。在大多数撒哈拉以南国家,抗疟药物耐药性的分子数据可能不能代表伴侣耐药的时间和地理异质性,也可能不能代表伴侣耐药的真正空间依赖分布。我们的研究结果强调了几个可以改进的低效率,以开发更准确的数据景观,包括哨点监测系统的扩展,研究样本的同步使用,以及向集中平台报告已发布和未发布数据的更多参与。
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引用次数: 17
期刊
The Lancet. Microbe
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