Urinary cell-free DNA is a versatile analyte for monitoring infections of the urinary tract.
Urinary cell-free DNA is a versatile analyte for monitoring infections of the urinary tract.
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DOI：
10.1038/s41467-018-04745-0
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发表时间：
2018-06-20
影响因子：
16.6
通讯作者：
De Vlaminck I
中科院分区：
文献类型：
--
作者：
Burnham P;Dadhania D;Heyang M;Chen F;Westblade LF;Suthanthiran M;Lee JR;De Vlaminck I
尿路感染是人类最常见的感染之一。在这里，我们测试了尿液无细胞DNA(CfDNA)在细菌和病毒尿路感染中全面监测宿主和病原体动态的效用。我们从来自82名肾移植受者队列的141份尿样中分离出cfDNA，并进行下一代测序。我们发现，尿cfDNA对微生物组的细菌和病毒组成、抗生素敏感性、细菌生长动态、移植肾损伤以及宿主对感染的反应具有很高的信息量。这些不同的信息层可以从一次化验中获得，并分别与基于定量聚合酶链式反应、常规细菌培养和尿液分析的相应临床测试一致。此外，cfDNA揭示了常规诊断方法仍未诊断的病理现象的频繁发生。我们的工作确定尿液cfDNA是一种用于监测尿路感染的高度通用的分析物。尿路感染是人类最常见的感染之一。在这里，作者使用尿液无细胞DNA(CfDNA)来全面监测细菌和病毒尿路感染的宿主和病原体动态，并表明它是监测尿路感染的一种通用分析物。
Urinary tract infections are one of the most common infections in humans. Here we tested the utility of urinary cell-free DNA (cfDNA) to comprehensively monitor host and pathogen dynamics in bacterial and viral urinary tract infections. We isolated cfDNA from 141 urine samples from a cohort of 82 kidney transplant recipients and performed next-generation sequencing. We found that urinary cfDNA is highly informative about bacterial and viral composition of the microbiome, antimicrobial susceptibility, bacterial growth dynamics, kidney allograft injury, and host response to infection. These different layers of information are accessible from a single assay and individually agree with corresponding clinical tests based on quantitative PCR, conventional bacterial culture, and urinalysis. In addition, cfDNA reveals the frequent occurrence of pathologies that remain undiagnosed with conventional diagnostic protocols. Our work identifies urinary cfDNA as a highly versatile analyte to monitor infections of the urinary tract. Urinary tract infections are one of the most common infections in humans. Here, the authors use urinary cell-free DNA (cfDNA) to comprehensively monitor host and pathogen dynamics in bacterial and viral urinary tract infections, and show that it is a versatile analyte for monitoring urinary tract infections.
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影响因子：
4.4
作者：
Foxman, Betsy
通讯作者：
Foxman, Betsy
影响因子：
17.1
作者：
De Vlaminck I;Valantine HA;Snyder TM;Strehl C;Cohen G;Luikart H;Neff NF;Okamoto J;Bernstein D;Weisshaar D;Quake SR;Khush KK
通讯作者：
Khush KK
影响因子：
7.4
作者：
Fouts DE;Pieper R;Szpakowski S;Pohl H;Knoblach S;Suh MJ;Huang ST;Ljungberg I;Sprague BM;Lucas SK;Torralba M;Nelson KE;Groah SL
通讯作者：
Groah SL
影响因子：
9.3
作者：
Beck, Julia;Bierau, Sarah;Schuetz, Ekkehard
通讯作者：
Schuetz, Ekkehard
DOI：
10.1161/hypertensionaha.116.07849
发表时间：
2016-08
期刊：
Hypertension (Dallas, Tex. : 1979)
影响因子：
--
作者：
Eirin A;Saad A;Tang H;Herrmann SM;Woollard JR;Lerman A;Textor SC;Lerman LO
通讯作者：
Lerman LO