机构:[a]Department of Laboratory Medicine, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China中山大学附属第一医院[b]Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA[c]Department of Pathology and Laboratory Medicine, Weill Medical College of Cornell University, New York, New York, USA[d]KingMed Diagnostics, Guangzhou, China[e]Department of Laboratory Medicine, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China大德路总院检验科大德路总院检验科广东省中医院[f]Department of Laboratory Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China大德路总院检验科大德路总院检验科广东省中医院[g]Department of Laboratory Medicine, Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China[h]Department of Laboratory Medicine, People's Hospital of Huangpu, Zhongshan, China[i]Department of Laboratory Medicine, People's Hospital of Huidong, Huizhou, China
Rapid and accurate detection and identification of microbial pathogens causing urinary tract infections allow prompt and specific treatment. We optimized specimen processing to maximize the limit of detection (LOD) by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) and evaluated the capacity of combination of MALDI-TOF MS and urine analysis (UA) for direct detection and identification of bacterial pathogens from urine samples. The optimal volumes of processed urine, formic acid/acetonitrile, and supernatant spotted onto the target plate were 15 ml, 3 mu l, and 3 mu l, respectively, yielding a LOD of 1.0 X 10(5) CFU/ml. Among a total of 1,167 urine specimens collected from three hospital centers, 612 (52.4%) and 351 (30.1%) were, respectively, positive by UA and urine culture. Compared with a reference method comprised of urine culture and 16S rRNA gene sequencing, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of MALDI-TOF MS alone and MALDI-TOF MS coupled with UA were 86.6% versus 93.4% (chi(2) = 8.93; P < 0.01), 91.5% versus 96.3% (chi(2) = 7.06; P < 0.01), 81.5% versus 96.4% (chi(2) = 37.32; P < 0.01), and 94.1% versus 93.1% (chi(2) = 0.40; P > 0.05), respectively. No significant performance differences were revealed among the three sites, while specificity and NPV of MALDI-TOF MS for males were significantly higher than those for females (specificity, 94.3% versus 77.3%, chi(2) = 44.90, P < 0.01; NPV, 95.5% versus 86.1%, chi(2) = 18.85, P < 0.01). Our results indicated that the optimization of specimen processing significantly enhanced analytical sensitivity and that the combination of UA and MALDI-TOF MS provided an accurate and rapid detection and identification of bacterial pathogens directly from urine.
基金:
The study was supported in part by a research contract between the Memorial Sloan
Kettering Cancer Center and bioMérieux, Inc. (SK2012-0595), an NIH/NCI Cancer Center
support grant P30 (CA008748), the National Natural Science Foundation of China
(81572058), the Guangdong Natural Science Foundation (2014A030313143), and the
State Education Ministry Scientific Research Foundation for the Returned Overseas
Chinese Scholars.
第一作者机构:[a]Department of Laboratory Medicine, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China[b]Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
共同第一作者:
通讯作者:
通讯机构:[b]Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA[c]Department of Pathology and Laboratory Medicine, Weill Medical College of Cornell University, New York, New York, USA[e]Department of Laboratory Medicine, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China[f]Department of Laboratory Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
推荐引用方式(GB/T 7714):
Bin Huang,Lei Zhang,Weizheng Zhang,et al.Direct Detection and Identification of Bacterial Pathogens from Urine with Optimized Specimen Processing and Enhanced Testing Algorithm[J].JOURNAL OF CLINICAL MICROBIOLOGY.2017,55(5):1488-1495.doi:10.1128/JCM.02549-16.
APA:
Bin Huang,Lei Zhang,Weizheng Zhang,Kang Liao,Shihong Zhang...&Yi-Wei Tang.(2017).Direct Detection and Identification of Bacterial Pathogens from Urine with Optimized Specimen Processing and Enhanced Testing Algorithm.JOURNAL OF CLINICAL MICROBIOLOGY,55,(5)
MLA:
Bin Huang,et al."Direct Detection and Identification of Bacterial Pathogens from Urine with Optimized Specimen Processing and Enhanced Testing Algorithm".JOURNAL OF CLINICAL MICROBIOLOGY 55..5(2017):1488-1495